| abseil-cpp-devel | 20240116.2-lp155.43.8 | Header files for Abseil |
| advancemame | 3.9-lp156.7.1 | MAME and MESS port for Arcade Monitors and TVs |
| alsa-default | 1.2.12-4.4 | ALSA config with default capture device and period_size |
| alsa-default | 1.2.12-4.2 | ALSA config with default capture device and period_size |
| alsa-default | 1.2.12-lp156.4.1 | ALSA config with default capture device and period_size |
| animated-gif-lib | 1.7-1.2 | Animated GIF library for Java |
| animated-gif-lib | 1.7-1.2 | Animated GIF library for Java |
| animated-gif-lib | 1.7-1.2 | Animated GIF library for Java |
| animated-gif-lib | 1.7-1.2 | Animated GIF library for Java |
| animated-gif-lib | 1.7-1.2 | Animated GIF library for Java |
| animated-gif-lib | 1.7-1.2 | Animated GIF library for Java |
| animated-gif-lib-javadoc | 1.7-1.2 | API documentation for animated-gif-lib |
| animated-gif-lib-javadoc | 1.7-1.2 | API documentation for animated-gif-lib |
| animated-gif-lib-javadoc | 1.7-1.2 | API documentation for animated-gif-lib |
| animated-gif-lib-javadoc | 1.7-1.2 | API documentation for animated-gif-lib |
| animated-gif-lib-javadoc | 1.7-1.2 | API documentation for animated-gif-lib |
| animated-gif-lib-javadoc | 1.7-1.2 | API documentation for animated-gif-lib |
| apache_httpd-formula | 2.2.1-1.1 | Salt states for managing the Apache httpd |
| apache_httpd-formula | 2.2.1-lp155.1.1 | Salt states for managing the Apache httpd |
| apache_httpd-formula | 2.2.1-lp156.1.1 | Salt states for managing the Apache httpd |
| apostrophe | 2.6.3-lp155.8.3 | A distraction free Markdown editor for GNU/Linux made with G |
| apostrophe-lang | 2.6.3-lp155.8.3 | Translations for package apostrophe |
| arkade | 0.11.16-1.0.2.1.sr20240605 | Open Source Kubernetes Marketplace |
| arkade | 0.11.16-1.1 | Open Source Kubernetes Marketplace |
| arkade | 0.11.16-1.1 | Open Source Kubernetes Marketplace |
| autocorr-af | 7.1.8.1-12.el9_4.alma.1 | Afrikaans auto-correction rules |
| autocorr-af | 7.1.8.1-12.el9_4.alma.1 | Afrikaans auto-correction rules |
| autocorr-af | 7.1.8.1-12.el9_4.alma.1 | Afrikaans auto-correction rules |
| autocorr-af | 7.1.8.1-12.el9_4.alma.1 | Afrikaans auto-correction rules |
| autocorr-af | 7.1.8.1-12.el9_4.alma.1 | Afrikaans auto-correction rules |
| autocorr-bg | 7.1.8.1-12.el9_4.alma.1 | Bulgarian auto-correction rules |
| autocorr-bg | 7.1.8.1-12.el9_4.alma.1 | Bulgarian auto-correction rules |
| autocorr-bg | 7.1.8.1-12.el9_4.alma.1 | Bulgarian auto-correction rules |
| autocorr-bg | 7.1.8.1-12.el9_4.alma.1 | Bulgarian auto-correction rules |
| autocorr-bg | 7.1.8.1-12.el9_4.alma.1 | Bulgarian auto-correction rules |
| autocorr-ca | 7.1.8.1-12.el9_4.alma.1 | Catalan auto-correction rules |
| autocorr-ca | 7.1.8.1-12.el9_4.alma.1 | Catalan auto-correction rules |
| autocorr-ca | 7.1.8.1-12.el9_4.alma.1 | Catalan auto-correction rules |
| autocorr-ca | 7.1.8.1-12.el9_4.alma.1 | Catalan auto-correction rules |
| autocorr-ca | 7.1.8.1-12.el9_4.alma.1 | Catalan auto-correction rules |
| autocorr-cs | 7.1.8.1-12.el9_4.alma.1 | Czech auto-correction rules |
| autocorr-cs | 7.1.8.1-12.el9_4.alma.1 | Czech auto-correction rules |
| autocorr-cs | 7.1.8.1-12.el9_4.alma.1 | Czech auto-correction rules |
| autocorr-cs | 7.1.8.1-12.el9_4.alma.1 | Czech auto-correction rules |
| autocorr-cs | 7.1.8.1-12.el9_4.alma.1 | Czech auto-correction rules |
| autocorr-da | 7.1.8.1-12.el9_4.alma.1 | Danish auto-correction rules |
| autocorr-da | 7.1.8.1-12.el9_4.alma.1 | Danish auto-correction rules |
| autocorr-da | 7.1.8.1-12.el9_4.alma.1 | Danish auto-correction rules |
| autocorr-da | 7.1.8.1-12.el9_4.alma.1 | Danish auto-correction rules |
| autocorr-da | 7.1.8.1-12.el9_4.alma.1 | Danish auto-correction rules |
| autocorr-de | 7.1.8.1-12.el9_4.alma.1 | German auto-correction rules |
| autocorr-de | 7.1.8.1-12.el9_4.alma.1 | German auto-correction rules |
| autocorr-de | 7.1.8.1-12.el9_4.alma.1 | German auto-correction rules |
| autocorr-de | 7.1.8.1-12.el9_4.alma.1 | German auto-correction rules |
| autocorr-de | 7.1.8.1-12.el9_4.alma.1 | German auto-correction rules |
| autocorr-dsb | 7.1.8.1-12.el9_4.alma.1 | Lower auto-correction rules |
| autocorr-dsb | 7.1.8.1-12.el9_4.alma.1 | Lower auto-correction rules |
| autocorr-dsb | 7.1.8.1-12.el9_4.alma.1 | Lower auto-correction rules |
| autocorr-dsb | 7.1.8.1-12.el9_4.alma.1 | Lower auto-correction rules |
| autocorr-dsb | 7.1.8.1-12.el9_4.alma.1 | Lower auto-correction rules |
| autocorr-el | 7.1.8.1-12.el9_4.alma.1 | Greek auto-correction rules |
| autocorr-el | 7.1.8.1-12.el9_4.alma.1 | Greek auto-correction rules |
| autocorr-el | 7.1.8.1-12.el9_4.alma.1 | Greek auto-correction rules |
| autocorr-el | 7.1.8.1-12.el9_4.alma.1 | Greek auto-correction rules |
| autocorr-el | 7.1.8.1-12.el9_4.alma.1 | Greek auto-correction rules |
| autocorr-en | 7.1.8.1-12.el9_4.alma.1 | English auto-correction rules |
| autocorr-en | 7.1.8.1-12.el9_4.alma.1 | English auto-correction rules |
| autocorr-en | 7.1.8.1-12.el9_4.alma.1 | English auto-correction rules |
| autocorr-en | 7.1.8.1-12.el9_4.alma.1 | English auto-correction rules |
| autocorr-en | 7.1.8.1-12.el9_4.alma.1 | English auto-correction rules |
| autocorr-es | 7.1.8.1-12.el9_4.alma.1 | Spanish auto-correction rules |
| autocorr-es | 7.1.8.1-12.el9_4.alma.1 | Spanish auto-correction rules |
| autocorr-es | 7.1.8.1-12.el9_4.alma.1 | Spanish auto-correction rules |
| autocorr-es | 7.1.8.1-12.el9_4.alma.1 | Spanish auto-correction rules |
| autocorr-es | 7.1.8.1-12.el9_4.alma.1 | Spanish auto-correction rules |
| autocorr-fa | 7.1.8.1-12.el9_4.alma.1 | Farsi auto-correction rules |
| autocorr-fa | 7.1.8.1-12.el9_4.alma.1 | Farsi auto-correction rules |
| autocorr-fa | 7.1.8.1-12.el9_4.alma.1 | Farsi auto-correction rules |
| autocorr-fa | 7.1.8.1-12.el9_4.alma.1 | Farsi auto-correction rules |
| autocorr-fa | 7.1.8.1-12.el9_4.alma.1 | Farsi auto-correction rules |
| autocorr-fi | 7.1.8.1-12.el9_4.alma.1 | Finnish auto-correction rules |
| autocorr-fi | 7.1.8.1-12.el9_4.alma.1 | Finnish auto-correction rules |
| autocorr-fi | 7.1.8.1-12.el9_4.alma.1 | Finnish auto-correction rules |
| autocorr-fi | 7.1.8.1-12.el9_4.alma.1 | Finnish auto-correction rules |
| autocorr-fi | 7.1.8.1-12.el9_4.alma.1 | Finnish auto-correction rules |
| autocorr-fr | 7.1.8.1-12.el9_4.alma.1 | French auto-correction rules |
| autocorr-fr | 7.1.8.1-12.el9_4.alma.1 | French auto-correction rules |
| autocorr-fr | 7.1.8.1-12.el9_4.alma.1 | French auto-correction rules |
| autocorr-fr | 7.1.8.1-12.el9_4.alma.1 | French auto-correction rules |
| autocorr-fr | 7.1.8.1-12.el9_4.alma.1 | French auto-correction rules |
| autocorr-ga | 7.1.8.1-12.el9_4.alma.1 | Irish auto-correction rules |
| autocorr-ga | 7.1.8.1-12.el9_4.alma.1 | Irish auto-correction rules |
| autocorr-ga | 7.1.8.1-12.el9_4.alma.1 | Irish auto-correction rules |
| autocorr-ga | 7.1.8.1-12.el9_4.alma.1 | Irish auto-correction rules |
| autocorr-ga | 7.1.8.1-12.el9_4.alma.1 | Irish auto-correction rules |
| autocorr-hr | 7.1.8.1-12.el9_4.alma.1 | Croatian auto-correction rules |
| autocorr-hr | 7.1.8.1-12.el9_4.alma.1 | Croatian auto-correction rules |
| autocorr-hr | 7.1.8.1-12.el9_4.alma.1 | Croatian auto-correction rules |
| autocorr-hr | 7.1.8.1-12.el9_4.alma.1 | Croatian auto-correction rules |
| autocorr-hr | 7.1.8.1-12.el9_4.alma.1 | Croatian auto-correction rules |
| autocorr-hsb | 7.1.8.1-12.el9_4.alma.1 | Upper auto-correction rules |
| autocorr-hsb | 7.1.8.1-12.el9_4.alma.1 | Upper auto-correction rules |
| autocorr-hsb | 7.1.8.1-12.el9_4.alma.1 | Upper auto-correction rules |
| autocorr-hsb | 7.1.8.1-12.el9_4.alma.1 | Upper auto-correction rules |
| autocorr-hsb | 7.1.8.1-12.el9_4.alma.1 | Upper auto-correction rules |
| autocorr-hu | 7.1.8.1-12.el9_4.alma.1 | Hungarian auto-correction rules |
| autocorr-hu | 7.1.8.1-12.el9_4.alma.1 | Hungarian auto-correction rules |
| autocorr-hu | 7.1.8.1-12.el9_4.alma.1 | Hungarian auto-correction rules |
| autocorr-hu | 7.1.8.1-12.el9_4.alma.1 | Hungarian auto-correction rules |
| autocorr-hu | 7.1.8.1-12.el9_4.alma.1 | Hungarian auto-correction rules |
| autocorr-is | 7.1.8.1-12.el9_4.alma.1 | Icelandic auto-correction rules |
| autocorr-is | 7.1.8.1-12.el9_4.alma.1 | Icelandic auto-correction rules |
| autocorr-is | 7.1.8.1-12.el9_4.alma.1 | Icelandic auto-correction rules |
| autocorr-is | 7.1.8.1-12.el9_4.alma.1 | Icelandic auto-correction rules |
| autocorr-is | 7.1.8.1-12.el9_4.alma.1 | Icelandic auto-correction rules |
| autocorr-it | 7.1.8.1-12.el9_4.alma.1 | Italian auto-correction rules |
| autocorr-it | 7.1.8.1-12.el9_4.alma.1 | Italian auto-correction rules |
| autocorr-it | 7.1.8.1-12.el9_4.alma.1 | Italian auto-correction rules |
| autocorr-it | 7.1.8.1-12.el9_4.alma.1 | Italian auto-correction rules |
| autocorr-it | 7.1.8.1-12.el9_4.alma.1 | Italian auto-correction rules |
| autocorr-ja | 7.1.8.1-12.el9_4.alma.1 | Japanese auto-correction rules |
| autocorr-ja | 7.1.8.1-12.el9_4.alma.1 | Japanese auto-correction rules |
| autocorr-ja | 7.1.8.1-12.el9_4.alma.1 | Japanese auto-correction rules |
| autocorr-ja | 7.1.8.1-12.el9_4.alma.1 | Japanese auto-correction rules |
| autocorr-ja | 7.1.8.1-12.el9_4.alma.1 | Japanese auto-correction rules |
| autocorr-ko | 7.1.8.1-12.el9_4.alma.1 | Korean auto-correction rules |
| autocorr-ko | 7.1.8.1-12.el9_4.alma.1 | Korean auto-correction rules |
| autocorr-ko | 7.1.8.1-12.el9_4.alma.1 | Korean auto-correction rules |
| autocorr-ko | 7.1.8.1-12.el9_4.alma.1 | Korean auto-correction rules |
| autocorr-ko | 7.1.8.1-12.el9_4.alma.1 | Korean auto-correction rules |
| autocorr-lb | 7.1.8.1-12.el9_4.alma.1 | Luxembourgish auto-correction rules |
| autocorr-lb | 7.1.8.1-12.el9_4.alma.1 | Luxembourgish auto-correction rules |
| autocorr-lb | 7.1.8.1-12.el9_4.alma.1 | Luxembourgish auto-correction rules |
| autocorr-lb | 7.1.8.1-12.el9_4.alma.1 | Luxembourgish auto-correction rules |
| autocorr-lb | 7.1.8.1-12.el9_4.alma.1 | Luxembourgish auto-correction rules |
| autocorr-lt | 7.1.8.1-12.el9_4.alma.1 | Lithuanian auto-correction rules |
| autocorr-lt | 7.1.8.1-12.el9_4.alma.1 | Lithuanian auto-correction rules |
| autocorr-lt | 7.1.8.1-12.el9_4.alma.1 | Lithuanian auto-correction rules |
| autocorr-lt | 7.1.8.1-12.el9_4.alma.1 | Lithuanian auto-correction rules |
| autocorr-lt | 7.1.8.1-12.el9_4.alma.1 | Lithuanian auto-correction rules |
| autocorr-mn | 7.1.8.1-12.el9_4.alma.1 | Mongolian auto-correction rules |
| autocorr-mn | 7.1.8.1-12.el9_4.alma.1 | Mongolian auto-correction rules |
| autocorr-mn | 7.1.8.1-12.el9_4.alma.1 | Mongolian auto-correction rules |
| autocorr-mn | 7.1.8.1-12.el9_4.alma.1 | Mongolian auto-correction rules |
| autocorr-mn | 7.1.8.1-12.el9_4.alma.1 | Mongolian auto-correction rules |
| autocorr-nl | 7.1.8.1-12.el9_4.alma.1 | Dutch auto-correction rules |
| autocorr-nl | 7.1.8.1-12.el9_4.alma.1 | Dutch auto-correction rules |
| autocorr-nl | 7.1.8.1-12.el9_4.alma.1 | Dutch auto-correction rules |
| autocorr-nl | 7.1.8.1-12.el9_4.alma.1 | Dutch auto-correction rules |
| autocorr-nl | 7.1.8.1-12.el9_4.alma.1 | Dutch auto-correction rules |
| autocorr-pl | 7.1.8.1-12.el9_4.alma.1 | Polish auto-correction rules |
| autocorr-pl | 7.1.8.1-12.el9_4.alma.1 | Polish auto-correction rules |
| autocorr-pl | 7.1.8.1-12.el9_4.alma.1 | Polish auto-correction rules |
| autocorr-pl | 7.1.8.1-12.el9_4.alma.1 | Polish auto-correction rules |
| autocorr-pl | 7.1.8.1-12.el9_4.alma.1 | Polish auto-correction rules |
| autocorr-pt | 7.1.8.1-12.el9_4.alma.1 | Portuguese auto-correction rules |
| autocorr-pt | 7.1.8.1-12.el9_4.alma.1 | Portuguese auto-correction rules |
| autocorr-pt | 7.1.8.1-12.el9_4.alma.1 | Portuguese auto-correction rules |
| autocorr-pt | 7.1.8.1-12.el9_4.alma.1 | Portuguese auto-correction rules |
| autocorr-pt | 7.1.8.1-12.el9_4.alma.1 | Portuguese auto-correction rules |
| autocorr-ro | 7.1.8.1-12.el9_4.alma.1 | Romanian auto-correction rules |
| autocorr-ro | 7.1.8.1-12.el9_4.alma.1 | Romanian auto-correction rules |
| autocorr-ro | 7.1.8.1-12.el9_4.alma.1 | Romanian auto-correction rules |
| autocorr-ro | 7.1.8.1-12.el9_4.alma.1 | Romanian auto-correction rules |
| autocorr-ro | 7.1.8.1-12.el9_4.alma.1 | Romanian auto-correction rules |
| autocorr-ru | 7.1.8.1-12.el9_4.alma.1 | Russian auto-correction rules |
| autocorr-ru | 7.1.8.1-12.el9_4.alma.1 | Russian auto-correction rules |
| autocorr-ru | 7.1.8.1-12.el9_4.alma.1 | Russian auto-correction rules |
| autocorr-ru | 7.1.8.1-12.el9_4.alma.1 | Russian auto-correction rules |
| autocorr-ru | 7.1.8.1-12.el9_4.alma.1 | Russian auto-correction rules |
| autocorr-sk | 7.1.8.1-12.el9_4.alma.1 | Slovak auto-correction rules |
| autocorr-sk | 7.1.8.1-12.el9_4.alma.1 | Slovak auto-correction rules |
| autocorr-sk | 7.1.8.1-12.el9_4.alma.1 | Slovak auto-correction rules |
| autocorr-sk | 7.1.8.1-12.el9_4.alma.1 | Slovak auto-correction rules |
| autocorr-sk | 7.1.8.1-12.el9_4.alma.1 | Slovak auto-correction rules |
| autocorr-sl | 7.1.8.1-12.el9_4.alma.1 | Slovenian auto-correction rules |
| autocorr-sl | 7.1.8.1-12.el9_4.alma.1 | Slovenian auto-correction rules |
| autocorr-sl | 7.1.8.1-12.el9_4.alma.1 | Slovenian auto-correction rules |
| autocorr-sl | 7.1.8.1-12.el9_4.alma.1 | Slovenian auto-correction rules |
| autocorr-sl | 7.1.8.1-12.el9_4.alma.1 | Slovenian auto-correction rules |
| autocorr-sr | 7.1.8.1-12.el9_4.alma.1 | Serbian auto-correction rules |
| autocorr-sr | 7.1.8.1-12.el9_4.alma.1 | Serbian auto-correction rules |
| autocorr-sr | 7.1.8.1-12.el9_4.alma.1 | Serbian auto-correction rules |
| autocorr-sr | 7.1.8.1-12.el9_4.alma.1 | Serbian auto-correction rules |
| autocorr-sr | 7.1.8.1-12.el9_4.alma.1 | Serbian auto-correction rules |
| autocorr-sv | 7.1.8.1-12.el9_4.alma.1 | Swedish auto-correction rules |
| autocorr-sv | 7.1.8.1-12.el9_4.alma.1 | Swedish auto-correction rules |
| autocorr-sv | 7.1.8.1-12.el9_4.alma.1 | Swedish auto-correction rules |
| autocorr-sv | 7.1.8.1-12.el9_4.alma.1 | Swedish auto-correction rules |
| autocorr-sv | 7.1.8.1-12.el9_4.alma.1 | Swedish auto-correction rules |
| autocorr-tr | 7.1.8.1-12.el9_4.alma.1 | Turkish auto-correction rules |
| autocorr-tr | 7.1.8.1-12.el9_4.alma.1 | Turkish auto-correction rules |
| autocorr-tr | 7.1.8.1-12.el9_4.alma.1 | Turkish auto-correction rules |
| autocorr-tr | 7.1.8.1-12.el9_4.alma.1 | Turkish auto-correction rules |
| autocorr-tr | 7.1.8.1-12.el9_4.alma.1 | Turkish auto-correction rules |
| autocorr-vi | 7.1.8.1-12.el9_4.alma.1 | Vietnamese auto-correction rules |
| autocorr-vi | 7.1.8.1-12.el9_4.alma.1 | Vietnamese auto-correction rules |
| autocorr-vi | 7.1.8.1-12.el9_4.alma.1 | Vietnamese auto-correction rules |
| autocorr-vi | 7.1.8.1-12.el9_4.alma.1 | Vietnamese auto-correction rules |
| autocorr-vi | 7.1.8.1-12.el9_4.alma.1 | Vietnamese auto-correction rules |
| autocorr-vro | 7.1.8.1-12.el9_4.alma.1 | Võro auto-correction rules |
| autocorr-vro | 7.1.8.1-12.el9_4.alma.1 | Võro auto-correction rules |
| autocorr-vro | 7.1.8.1-12.el9_4.alma.1 | Võro auto-correction rules |
| autocorr-vro | 7.1.8.1-12.el9_4.alma.1 | Võro auto-correction rules |
| autocorr-vro | 7.1.8.1-12.el9_4.alma.1 | Võro auto-correction rules |
| autocorr-zh | 7.1.8.1-12.el9_4.alma.1 | Chinese auto-correction rules |
| autocorr-zh | 7.1.8.1-12.el9_4.alma.1 | Chinese auto-correction rules |
| autocorr-zh | 7.1.8.1-12.el9_4.alma.1 | Chinese auto-correction rules |
| autocorr-zh | 7.1.8.1-12.el9_4.alma.1 | Chinese auto-correction rules |
| autocorr-zh | 7.1.8.1-12.el9_4.alma.1 | Chinese auto-correction rules |
| automake | 1.16.5-slfo.1.2.1 | A Program for Automatically Generating GNU-Style Makefile.in |
| backupscript-formula | 2.2.1-lp155.1.1 | Salt states for managing SUSE backup scripts |
| backupscript-formula | 2.2.1-lp156.1.1 | Salt states for managing SUSE backup scripts |
| backupscript-formula | 2.2.1-1.1 | Salt states for managing SUSE backup scripts |
| bitcoinsv-doc | 1.1.0-lp156.2.1 | Documentation for bitcoin |
| bitcoinsv-doc | 1.1.0-lp154.2.1 | Documentation for bitcoin |
| bitcoinsv-test | 1.1.0-lp156.2.1 | Benchmarks and automated tests for bitcoin client |
| bitcoinsv-test | 1.1.0-lp154.2.1 | Benchmarks and automated tests for bitcoin client |
| bitcoinsv-utils | 1.1.0-lp156.2.1 | Utils for the BitCoin SV crypto-currency |
| bitcoinsv-utils | 1.1.0-lp154.2.1 | Utils for the BitCoin SV crypto-currency |
| bitcoinsvd | 1.1.0-lp154.2.1 | Headless daemon for Bitcoin crypto-currency |
| bitcoinsvd | 1.1.0-lp156.2.1 | Headless daemon for Bitcoin crypto-currency |
| bk | 0.6.0-1.1 | Terminal ePub reader |
| bk | 0.6.0-1.1 | Terminal ePub reader |
| bk | 0.6.0-1.1 | Terminal ePub reader |
| bk | 0.6.0-3.5 | Terminal ePub reader |
| blackbird | 20200826-lp156.2.5 | Bitcoin arbitrage trading system |
| blas-devel | 3.12.0-1.1 | Basic Linear Algebra Subprograms: headers and sources for de |
| blas-devel-32bit | 3.12.0-1.1 | Basic Linear Algebra Subprograms: headers and sources for de |
| blas-devel-static | 3.12.0-1.1 | Basic Linear Algebra Subprograms: static library |
| blaspp-devel | 2024.05.31-5.17 | Headers and sources for developing with blaspp |
| blaspp-devel | 2024.05.31-1.1 | Headers and sources for developing with blaspp |
| blaspp-devel | 2024.05.31-5.17 | Headers and sources for developing with blaspp |
| blaspp-devel | 2024.05.31-1.1 | Headers and sources for developing with blaspp |
| blockparser | 20151206-lp156.2.4 | Bitcoin blockchain parser |
| bnd-maven-plugin | 6.3.1-slfo.1.2.2 | BND Maven plugin |
| bnd-maven-plugin-javadoc | 6.3.1-slfo.1.2.2 | Javadoc for bnd-maven-plugin |
| boomaga | 3.0.0-2024gos20.27.10 | Virtual Printer for Viewing a Document before Printing |
| boomaga-lang | 3.0.0-2024gos20.27.10 | Translations for package boomaga |
| boost-license1_74_0 | 1.74.0-lp154.5.1 | Boost License |
| boost-license1_74_0 | 1.74.0-lp156.5.1 | Boost License |
| boost1_74_0-jam | 1.74.0-lp156.5.1 | A Boost Make Replacement |
| boost1_74_0-jam | 1.74.0-lp154.5.1 | A Boost Make Replacement |
| bootloader-formula | 2.2.1-lp156.1.1 | Salt states for managing the bootloader |
| bootloader-formula | 2.2.1-lp155.1.1 | Salt states for managing the bootloader |
| bootloader-formula | 2.2.1-1.1 | Salt states for managing the bootloader |
| bruno | 1.19.0-lp156.1.1 | Opensource IDE for exploring and testing APIs |
| bruno | 1.19.0-lp155.1.1 | Opensource IDE for exploring and testing APIs |
| bruno | 1.19.0-1.3 | Opensource IDE for exploring and testing APIs |
| bruno | 1.19.0-1.3 | Opensource IDE for exploring and testing APIs |
| btrbk | 0.32.5-lp156.8.1 | Backup Tool using snapshots of btrfs |
| bunnycoin-doc | 1.0.3-lp156.6.7 | Documentation for bunnycoin |
| bunnycoin-qt5 | 1.0.3-lp156.6.7 | GUI for the BunnyCoin crypto-currency |
| bunnycoind | 1.0.3-lp156.6.7 | Headless daemon for bunnycoin crypto-currency |
| c-lightning-doc | 24.5.0-lp153.2.1 | Documentation for c-lightning |
| c-lightning-utils | 24.5.0-lp153.2.1 | Utils for c-lightning |
| c-lightningd | 24.5.0-lp153.2.1 | Headless daemon for c-lightning |
| calife | 3.0.6-lp156.1.1 | Becoming root with one\'s own password |
| cargo | 1.79.0-1.1 | The Rust package manager |
| cargo | 1.79.0-1.1 | The Rust package manager |
| cargo | 1.79.0-1.1 | The Rust package manager |
| cargo | 1.79.0-1.1 | The Rust package manager |
| cargo | 1.79.0-1.1 | The Rust package manager |
| cblas-devel | 3.12.0-1.1 | Native C interface to BLAS: headers and sources for developm |
| cblas-devel-32bit | 3.12.0-1.1 | Native C interface to BLAS: headers and sources for developm |
| cblas-devel-static | 3.12.0-1.1 | Native C interface to BLAS: static library |
| chordii | 4.5.3-lp156.6.1 | Print songsbooks (lyrics + chords) |
| cloud-init | 23.3-14.33 | Cloud node initialization tool |
| cloud-init | 23.3-13.1 | Cloud node initialization tool |
| cloud-init | 23.3-13.1 | Cloud node initialization tool |
| cloud-init | 23.3-24.43 | Cloud node initialization tool |
| cloud-init | 23.3-20.200 | Cloud node initialization tool |
| cloud-init | 23.3-24.100 | Cloud node initialization tool |
| cloud-init | 23.3-14.33 | Cloud node initialization tool |
| cloud-init | 23.3-13.0.4.1.sr20240605 | Cloud node initialization tool |
| cloud-init | 23.3-13.1 | Cloud node initialization tool |
| cloud-init | 23.3-20.200 | Cloud node initialization tool |
| cloud-init-config-suse | 23.3-14.33 | Configuration file for Cloud node initialization tool |
| cloud-init-config-suse | 23.3-13.1 | Configuration file for Cloud node initialization tool |
| cloud-init-config-suse | 23.3-13.1 | Configuration file for Cloud node initialization tool |
| cloud-init-config-suse | 23.3-20.200 | Configuration file for Cloud node initialization tool |
| cloud-init-config-suse | 23.3-24.43 | Configuration file for Cloud node initialization tool |
| cloud-init-config-suse | 23.3-14.33 | Configuration file for Cloud node initialization tool |
| cloud-init-config-suse | 23.3-13.0.4.1.sr20240605 | Configuration file for Cloud node initialization tool |
| cloud-init-config-suse | 23.3-24.100 | Configuration file for Cloud node initialization tool |
| cloud-init-config-suse | 23.3-13.1 | Configuration file for Cloud node initialization tool |
| cloud-init-config-suse | 23.3-20.200 | Configuration file for Cloud node initialization tool |
| cloud-init-doc | 23.3-24.100 | Cloud node initialization tool - Documentation |
| cloud-init-doc | 23.3-14.33 | Cloud node initialization tool - Documentation |
| cloud-init-doc | 23.3-13.1 | Cloud node initialization tool - Documentation |
| cloud-init-doc | 23.3-20.200 | Cloud node initialization tool - Documentation |
| cloud-init-doc | 23.3-24.43 | Cloud node initialization tool - Documentation |
| cloud-init-doc | 23.3-13.1 | Cloud node initialization tool - Documentation |
| cloud-init-doc | 23.3-14.33 | Cloud node initialization tool - Documentation |
| cloud-init-doc | 23.3-20.200 | Cloud node initialization tool - Documentation |
| cloud-init-doc | 23.3-13.0.4.1.sr20240605 | Cloud node initialization tool - Documentation |
| cloud-init-doc | 23.3-13.1 | Cloud node initialization tool - Documentation |
| coeurl-devel | 0.3.1-lp155.8.1 | Development files for coeurl |
| coeurl-devel | 0.3.1-lp156.8.1 | Development files for coeurl |
| commonmark-java | 0.22.0-1.4 | Java library for parsing and rendering CommonMark (Markdown) |
| commonmark-java | 0.22.0-1.4 | Java library for parsing and rendering CommonMark (Markdown) |
| commonmark-java | 0.22.0-1.4 | Java library for parsing and rendering CommonMark (Markdown) |
| commonmark-java | 0.22.0-1.6 | Java library for parsing and rendering CommonMark (Markdown) |
| commonmark-java | 0.22.0-1.5 | Java library for parsing and rendering CommonMark (Markdown) |
| commonmark-java | 0.22.0-1.4 | Java library for parsing and rendering CommonMark (Markdown) |
| commonmark-java-javadoc | 0.22.0-1.4 | API documentation for commonmark-java |
| commonmark-java-javadoc | 0.22.0-1.4 | API documentation for commonmark-java |
| commonmark-java-javadoc | 0.22.0-1.4 | API documentation for commonmark-java |
| commonmark-java-javadoc | 0.22.0-1.5 | API documentation for commonmark-java |
| commonmark-java-javadoc | 0.22.0-1.4 | API documentation for commonmark-java |
| commonmark-java-javadoc | 0.22.0-1.6 | API documentation for commonmark-java |
| corepack22 | 22.3.0-1.1 | Helper bridge between NodeJS projects and their dependencies |
| corepack22 | 22.3.0-2.22 | Helper bridge between NodeJS projects and their dependencies |
| corepack22 | 22.3.0-1.81 | Helper bridge between NodeJS projects and their dependencies |
| corepack22 | 22.3.0-1.1 | Helper bridge between NodeJS projects and their dependencies |
| corepack22 | 22.3.0-1.8 | Helper bridge between NodeJS projects and their dependencies |
| corepack22 | 22.3.0-1.1 | Helper bridge between NodeJS projects and their dependencies |
| corepack22 | 22.3.0-1.25 | Helper bridge between NodeJS projects and their dependencies |
| corepack22 | 22.3.0-1.25 | Helper bridge between NodeJS projects and their dependencies |
| corepack22 | 22.3.0-1.81 | Helper bridge between NodeJS projects and their dependencies |
| corepack22 | 22.3.0-2.22 | Helper bridge between NodeJS projects and their dependencies |
| corepack22 | 22.3.0-1.8 | Helper bridge between NodeJS projects and their dependencies |
| cros-adapta | 117.15572+git.c2d2d80-lp156.5.1 | Chromium OS GTK Theme |
| cros-adapta | 117.15572+git.c2d2d80-lp156.14.1 | Chromium OS GTK Theme |
| cros-garcon | 117.15572+git.c2d2d80-lp156.14.1 | Chromium OS Garcon Bridge |
| cros-garcon | 117.15572+git.c2d2d80-lp156.5.1 | Chromium OS Garcon Bridge |
| cros-guest-tools | 117.15572+git.c2d2d80-lp156.14.1 | Chromium OS integration meta package |
| cros-guest-tools | 117.15572+git.c2d2d80-lp156.5.1 | Chromium OS integration meta package |
| cros-host-fonts | 117.15572+git.c2d2d80-lp156.5.1 | Share fonts from Chromium OS |
| cros-host-fonts | 117.15572+git.c2d2d80-lp156.14.1 | Share fonts from Chromium OS |
| cros-im | 117.15572+git.62a0c8d-lp156.1.1 | ChromeOS IME support |
| cros-im | 117.15572+git.62a0c8d-lp156.6.1 | ChromeOS IME support |
| cros-logging | 117.15572+git.c2d2d80-lp156.5.1 | Journald config for Chromium OS integration |
| cros-logging | 117.15572+git.c2d2d80-lp156.14.1 | Journald config for Chromium OS integration |
| cros-notificationd | 117.15572+git.c2d2d80-lp156.14.1 | Chromium OS Notification Bridge |
| cros-notificationd | 117.15572+git.c2d2d80-lp156.5.1 | Chromium OS Notification Bridge |
| cros-pulse-config | 117.15572+git.c2d2d80-lp156.5.1 | PulseAudio helper for Chromium OS integration |
| cros-pulse-config | 117.15572+git.c2d2d80-lp156.14.1 | PulseAudio helper for Chromium OS integration |
| cros-sftp | 117.15572+git.c2d2d80-lp156.5.1 | SFTP link for CrOS integration |
| cros-sftp | 117.15572+git.c2d2d80-lp156.14.1 | SFTP link for CrOS integration |
| cros-sommelier | 117.15572+git.c2d2d80-lp156.5.1 | Sommelier base package |
| cros-sommelier | 117.15572+git.c2d2d80-lp156.14.1 | Sommelier base package |
| cros-sommelier-config | 117.15572+git.c2d2d80-lp156.14.1 | Sommelier config for Chromium OS integration |
| cros-sommelier-config | 117.15572+git.c2d2d80-lp156.5.1 | Sommelier config for Chromium OS integration |
| cros-sudo-config | 117.15572+git.c2d2d80-lp156.14.1 | Sudo config for Chromium OS integration |
| cros-sudo-config | 117.15572+git.c2d2d80-lp156.5.1 | Sudo config for Chromium OS integration |
| cros-systemd-overrides | 117.15572+git.c2d2d80-lp156.5.1 | Systemd overrides for running under Chromium OS |
| cros-systemd-overrides | 117.15572+git.c2d2d80-lp156.14.1 | Systemd overrides for running under Chromium OS |
| cros-ui-config | 117.15572+git.c2d2d80-lp156.14.1 | UI integration for Chromium OS |
| cros-ui-config | 117.15572+git.c2d2d80-lp156.5.1 | UI integration for Chromium OS |
| cros-vmstat-metrics | 117.15572+git.c2d2d80-lp156.5.1 | Chromium OS VMStat Metrics Reporting Daemon |
| cros-vmstat-metrics | 117.15572+git.c2d2d80-lp156.14.1 | Chromium OS VMStat Metrics Reporting Daemon |
| cros-wayland | 117.15572+git.c2d2d80-lp156.5.1 | Wayland extras for virtwl in Chromium OS |
| cros-wayland | 117.15572+git.c2d2d80-lp156.14.1 | Wayland extras for virtwl in Chromium OS |
| cros-xdg-desktop-portal | 117.15572+git.c2d2d80-lp156.5.1 | ChromeOS FileChooser backend for xdg-desktop-portal |
| cros-xdg-desktop-portal | 117.15572+git.c2d2d80-lp156.14.1 | ChromeOS FileChooser backend for xdg-desktop-portal |
| Crystalcursors | 0.9-lp155.500.1 | Mouse Cursors in Crystal Icon Style |
| ctdb | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Clustered TDB |
| ctdb | 4.19.4-105.el9_4 | A Clustered Database based on Samba\'s Trivial Database (TDB |
| ctdb | 4.19.4-105.el9_4 | A Clustered Database based on Samba\'s Trivial Database (TDB |
| ctdb-pcp-pmda | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Performance Co-Pilot (PCP) monitoring agent |
| cups-backend-kerberized-smb | 1.0-2024gos20.7.5 | Printing with Kerberos authentication in a Windows Active Di |
| cups-filters | 1.28.17-2024gos20.144.8 | OpenPrinting CUPS filters, backends, and cups-browsed |
| cups-filters-devel | 1.28.17-2024gos20.144.8 | Development files for cups-filters |
| cups-pdf | 3.0.1-2024gos20.15.4 | Virtual PDF printer for CUPS |
| dashpay-doc | 20.1.1-lp153.3.1 | Documentation for dash |
| dashpay-qt5 | 20.1.1-lp153.3.1 | GUI for the Dash crypto-currency |
| dashpay-test | 20.1.1-lp153.3.1 | Benchmarks and automated tests for dash client |
| dashpay-utils | 20.1.1-lp153.3.1 | Utils for the Dash crypto-currency |
| dashpay-utils-bash-completion | 20.1.1-lp153.3.1 | Bash Completion for dashpay-utils |
| dashpayd | 20.1.1-lp153.3.1 | Headless daemon for dash crypto-currency |
| dashpayd-bash-completion | 20.1.1-lp153.3.1 | Bash Completion for dashpayd |
| dbeaver | 23.0.4-lp156.2.1 | Universal Database Manager |
| dc_photocell-kmp-default | 3.0_k6.4.0_150600.21-lp156.9.2 | Direct connect photocell |
| ddcutil-service | 1.0.9-1.0.2.1.sr20240605 | D-Bus service for libddcutil VESA DDC Monitor Virtual Contro |
| ddcutil-service | 1.0.9-1.1 | D-Bus service for libddcutil VESA DDC Monitor Virtual Contro |
| ddcutil-service | 1.0.9-1.1 | D-Bus service for libddcutil VESA DDC Monitor Virtual Contro |
| devtoys-cli | 2.0.1.0~preview.1-lp156.2.1 | A Swiss Army knife for developers (CLI) |
| devtoys-cli | 2.0.1.0~preview.1-2.3 | A Swiss Army knife for developers (CLI) |
| devtoys-cli | 2.0.1.0~preview.1-2.3 | A Swiss Army knife for developers (CLI) |
| devtoys-cli | 2.0.1.0~preview.1-lp155.2.1 | A Swiss Army knife for developers (CLI) |
| dfu-tool | 1.9.21-1.0.4.1.sr20240605 | Generic tool Device Firmware Upgrade (DFU) tool |
| dfu-tool | 1.9.21-1.1 | Generic tool Device Firmware Upgrade (DFU) tool |
| dhcpcd | 9.4.1-lp156.3.1 | A DHCP Client Daemon |
| DirectX-Headers | 1.614.0-2024.29.1 | DirectX Headers for Mesa |
| dogecoin-doc | 1.14.7-lp153.4.1 | Documentation for dogecoin |
| dogecoin-qt5 | 1.14.7-lp153.4.1 | GUI for the DogeCoin crypto-currency |
| dogecoin-test | 1.14.7-lp153.4.1 | Benchmarks and automated tests for dogecoin client |
| dogecoin-utils | 1.14.7-lp153.4.1 | Utils for the DogeCoin crypto-currency |
| dogecoin-utils-bash-completion | 1.14.7-lp153.4.1 | Bash Completion for dogecoin-utils |
| dogecoind | 1.14.7-lp153.4.1 | Headless daemon for dogecoin crypto-currency |
| dogecoind-bash-completion | 1.14.7-lp153.4.1 | Bash Completion for dogecoind |
| dpdk | 1718360866.2f1015d8-2852.1 | Data Plane Development Kit core |
| dpdk-devel | 1718360866.2f1015d8-2852.1 | Data Plane Development Kit for development |
| dtv-scan-tables | 20240503-lp156.55.1 | Scan files for digital TV applications v3 |
| dtv-scan-tables-v5 | 20240503-lp156.55.1 | Scan files for digital TV applications v5 |
| dumb-init | 1.2.5-150600.4.1 | A minimal init system for Linux containers |
| dvb-firmware-installer | 1.0-lp156.1.1 | Downloads and installs DVB firmware |
| eccoin-doc | 0.2.5.15rc1-lp156.1.6 | Documentation for eccoin |
| eccoin-doc | 0.3.0.0-lp156.5.6 | Documentation for eccoin |
| eccoind | 0.2.5.15rc1-lp156.1.6 | Headless daemon for eccoin crypto-currency |
| eccoind | 0.3.0.0-lp156.5.6 | Headless daemon for eccoin crypto-currency |
| emark-doc | 2.0.1-lp156.4.6 | Documentation for emark |
| emark-qt5 | 2.0.1-lp156.4.6 | GUI for the eMark crypto-currency |
| emarkd | 2.0.1-lp156.4.6 | Headless daemon for emark crypto-currency |
| epson-inkjet-printer-escpr | 1.7.22-2024gos20.67.4 | Epson ESC/P-R Inkjet Printer Driver |
| exiftool | 12.87-1.2 | Customisable application to read and write meta information |
| extractpdfmark | 1.1.1-2024gos20.8.9 | Helper for correctly compacting PDF files created by TeX |
| fah-client-bastet-beta | 8.3.17-lp154.2.1 | Folding@home Console Client |
| fah-client-bastet-beta | 8.3.17-lp155.2.1 | Folding@home Console Client |
| fah-client-bastet-beta | 8.3.17-lp156.2.1 | Folding@home Console Client |
| fah-client-bastet-beta | 8.3.17-2.1 | Folding@home Console Client |
| fah-client-bastet-beta | 8.3.17-2.1 | Folding@home Console Client |
| fah-client-bastet-beta | 8.3.17-2.1 | Folding@home Console Client |
| fedoracoin-qt5 | 0.6.0-lp156.7.6 | GUI for the FedoraCoin crypto-currency |
| fedoracoind | 0.6.0-lp156.7.6 | Headless daemon for fedoracoin crypto-currency |
| ffado | 2.4.7-3.1 | FireWire 1394 support for audio devices |
| ffado | 2.4.7-3.0.2.1.sr20240605 | FireWire 1394 support for audio devices |
| ffado | 2.4.7-3.1 | FireWire 1394 support for audio devices |
| ffado-mixer | 2.4.7-3.1 | FireWire 1394 support for audio devices, svn snapshot |
| ffado-mixer | 2.4.7-3.1 | FireWire 1394 support for audio devices, svn snapshot |
| ffado-mixer | 2.4.7-3.1 | FireWire 1394 support for audio devices, svn snapshot |
| firewall-applet | 2.1.2-3.1 | Firewall panel applet |
| firewall-applet | 2.1.2-3.1 | Firewall panel applet |
| firewall-applet | 2.1.2-124.3 | Firewall panel applet |
| firewall-applet | 2.1.2-3.1 | Firewall panel applet |
| firewall-applet | 2.1.2-4.1 | Firewall panel applet |
| firewall-applet | 2.1.2-127.1 | Firewall panel applet |
| firewall-applet | 2.1.2-131.3 | Firewall panel applet |
| firewall-applet | 2.1.2-122.2 | Firewall panel applet |
| firewall-applet | 2.1.2-122.1 | Firewall panel applet |
| firewall-applet | 2.1.2-122.2 | Firewall panel applet |
| firewall-applet | 2.1.2-123.1 | Firewall panel applet |
| firewall-applet | 2.1.2-122.3 | Firewall panel applet |
| firewall-applet | 2.1.2-122.1 | Firewall panel applet |
| firewall-applet | 2.1.2-122.1 | Firewall panel applet |
| firewall-applet | 2.1.2-3.1 | Firewall panel applet |
| firewall-applet | 2.1.2-123.1 | Firewall panel applet |
| firewall-applet | 2.1.2-127.1 | Firewall panel applet |
| firewall-applet | 2.1.2-3.1 | Firewall panel applet |
| firewall-applet | 2.1.2-123.1 | Firewall panel applet |
| firewall-config | 2.1.2-3.1 | Firewall configuration application |
| firewall-config | 2.1.2-123.1 | Firewall configuration application |
| firewall-config | 2.1.2-123.1 | Firewall configuration application |
| firewall-config | 2.1.2-131.3 | Firewall configuration application |
| firewall-config | 2.1.2-123.1 | Firewall configuration application |
| firewall-config | 2.1.2-127.1 | Firewall configuration application |
| firewall-config | 2.1.2-3.1 | Firewall configuration application |
| firewall-config | 2.1.2-3.1 | Firewall configuration application |
| firewall-config | 2.1.2-124.3 | Firewall configuration application |
| firewall-config | 2.1.2-122.1 | Firewall configuration application |
| firewall-config | 2.1.2-122.2 | Firewall configuration application |
| firewall-config | 2.1.2-122.1 | Firewall configuration application |
| firewall-config | 2.1.2-122.3 | Firewall configuration application |
| firewall-config | 2.1.2-3.1 | Firewall configuration application |
| firewall-config | 2.1.2-4.1 | Firewall configuration application |
| firewall-config | 2.1.2-127.1 | Firewall configuration application |
| firewall-config | 2.1.2-122.2 | Firewall configuration application |
| firewall-config | 2.1.2-122.1 | Firewall configuration application |
| firewall-config | 2.1.2-3.1 | Firewall configuration application |
| firewall-macros | 2.1.2-127.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-3.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-3.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-3.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-4.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-3.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-131.3 | FirewallD RPM macros |
| firewall-macros | 2.1.2-122.2 | FirewallD RPM macros |
| firewall-macros | 2.1.2-122.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-122.3 | FirewallD RPM macros |
| firewall-macros | 2.1.2-122.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-122.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-123.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-123.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-3.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-122.2 | FirewallD RPM macros |
| firewall-macros | 2.1.2-124.3 | FirewallD RPM macros |
| firewall-macros | 2.1.2-127.1 | FirewallD RPM macros |
| firewall-macros | 2.1.2-123.1 | FirewallD RPM macros |
| firewalld | 2.1.2-122.2 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-3.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-122.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-3.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-3.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-122.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-122.3 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-127.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-123.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-122.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-127.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-3.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-124.3 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-123.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-3.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-123.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-4.1 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-131.3 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld | 2.1.2-122.2 | A firewall daemon with D-BUS interface providing a dynamic f |
| firewalld-bash-completion | 2.1.2-123.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-3.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-124.3 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-122.2 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-127.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-122.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-3.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-3.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-122.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-123.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-122.2 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-122.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-122.3 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-123.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-3.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-131.3 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-4.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-3.1 | Bash Completion for firewalld |
| firewalld-bash-completion | 2.1.2-127.1 | Bash Completion for firewalld |
| firewalld-lang | 2.1.2-4.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-131.3 | Translations for package firewalld |
| firewalld-lang | 2.1.2-122.2 | Translations for package firewalld |
| firewalld-lang | 2.1.2-122.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-122.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-122.3 | Translations for package firewalld |
| firewalld-lang | 2.1.2-3.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-127.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-127.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-3.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-3.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-124.3 | Translations for package firewalld |
| firewalld-lang | 2.1.2-123.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-3.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-123.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-122.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-123.1 | Translations for package firewalld |
| firewalld-lang | 2.1.2-122.2 | Translations for package firewalld |
| firewalld-lang | 2.1.2-3.1 | Translations for package firewalld |
| firewalld-test | 2.1.2-122.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-3.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-123.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-122.2 | Firewalld testsuite |
| firewalld-test | 2.1.2-124.3 | Firewalld testsuite |
| firewalld-test | 2.1.2-3.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-122.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-122.3 | Firewalld testsuite |
| firewalld-test | 2.1.2-127.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-123.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-131.3 | Firewalld testsuite |
| firewalld-test | 2.1.2-4.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-123.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-3.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-3.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-3.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-127.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-122.1 | Firewalld testsuite |
| firewalld-test | 2.1.2-122.2 | Firewalld testsuite |
| firewalld-zsh-completion | 2.1.2-122.3 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-131.3 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-4.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-3.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-3.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-123.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-127.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-124.3 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-127.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-3.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-3.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-122.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-122.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-122.2 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-123.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-122.2 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-122.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-3.1 | Zsh Completion for firewalld |
| firewalld-zsh-completion | 2.1.2-123.1 | Zsh Completion for firewalld |
| fish | 3.7.1-3.0.2.1.sr20240605 | The \"friendly interactive shell\" |
| fish | 3.7.1-3.1 | The \"friendly interactive shell\" |
| fish | 3.7.1-100.4 | The \"friendly interactive shell\" |
| fish | 3.7.1-4.4 | The \"friendly interactive shell\" |
| fish | 3.7.1-100.1 | The \"friendly interactive shell\" |
| fish | 3.7.1-3.1 | The \"friendly interactive shell\" |
| fish | 3.7.1-103.1 | The \"friendly interactive shell\" |
| fish | 3.7.1-100.1 | The \"friendly interactive shell\" |
| fish | 3.7.1-100.4 | The \"friendly interactive shell\" |
| fish | 3.7.1-4.4 | The \"friendly interactive shell\" |
| fish | 3.7.1-3.1 | The \"friendly interactive shell\" |
| fish | 3.7.1-107.4 | The \"friendly interactive shell\" |
| fish | 3.7.1-103.1 | The \"friendly interactive shell\" |
| fish | 3.7.1-103.4 | The \"friendly interactive shell\" |
| fish-devel | 3.7.1-100.4 | Devel files for the fish shell |
| fish-devel | 3.7.1-100.1 | Devel files for the fish shell |
| fish-devel | 3.7.1-100.4 | Devel files for the fish shell |
| fish-devel | 3.7.1-3.1 | Devel files for the fish shell |
| fish-devel | 3.7.1-3.1 | Devel files for the fish shell |
| fish-devel | 3.7.1-4.4 | Devel files for the fish shell |
| fish-devel | 3.7.1-100.1 | Devel files for the fish shell |
| fish-devel | 3.7.1-4.4 | Devel files for the fish shell |
| fish-devel | 3.7.1-103.1 | Devel files for the fish shell |
| fish-devel | 3.7.1-107.4 | Devel files for the fish shell |
| fish-devel | 3.7.1-103.4 | Devel files for the fish shell |
| fish-devel | 3.7.1-3.0.2.1.sr20240605 | Devel files for the fish shell |
| fish-devel | 3.7.1-103.1 | Devel files for the fish shell |
| fish-devel | 3.7.1-3.1 | Devel files for the fish shell |
| flatpak | 1.15.8-2.1 | OSTree based application bundles management |
| flatpak | 1.15.8-2.1 | OSTree based application bundles management |
| flatpak | 1.15.8-2.0.2.1.sr20240605 | OSTree based application bundles management |
| flatpak | 1.15.8-3.0.2.1.sr20240702 | OSTree based application bundles management |
| flatpak-devel | 1.15.8-2.0.2.1.sr20240605 | Development files for the flatpak library |
| flatpak-devel | 1.15.8-2.1 | Development files for the flatpak library |
| flatpak-devel | 1.15.8-3.0.2.1.sr20240702 | Development files for the flatpak library |
| flatpak-devel | 1.15.8-2.1 | Development files for the flatpak library |
| flatpak-remote-flathub | 1.15.8-3.0.2.1.sr20240702 | Add Flathub repository to system flatpak |
| flatpak-remote-flathub | 1.15.8-2.1 | Add Flathub repository to system flatpak |
| flatpak-remote-flathub | 1.15.8-2.1 | Add Flathub repository to system flatpak |
| flatpak-selinux | 1.15.8-2.1 | SELinux policy module for flatpak |
| flatpak-selinux | 1.15.8-2.1 | SELinux policy module for flatpak |
| flatpak-selinux | 1.15.8-3.0.2.1.sr20240702 | SELinux policy module for flatpak |
| flatpak-zsh-completion | 1.15.8-2.1 | Zsh tab-completion for flatpak |
| flatpak-zsh-completion | 1.15.8-3.0.2.1.sr20240702 | Zsh tab-completion for flatpak |
| flatpak-zsh-completion | 1.15.8-2.1 | Zsh tab-completion for flatpak |
| flatten-maven-plugin | 1.6.0-1.6 | Flatten Maven Plugin |
| flatten-maven-plugin-javadoc | 1.6.0-1.6 | API documentation for flatten-maven-plugin |
| floripacoin-doc | 0.8.6.3-lp156.9.6 | Documentation for floripacoin |
| floripacoin-qt5 | 0.8.6.3-lp156.9.6 | GUI for the FloripaCoin crypto-currency |
| floripacoind | 0.8.6.3-lp156.9.6 | Headless daemon for floripacoin crypto-currency |
| fpm2 | 0.90-1699.1.pm.89 | Password manager with GTK3 GUI |
| fpm2-debuginfo | 0.90-1699.1.pm.89 | Debug information for package fpm2 |
| fpm2-debugsource | 0.90-1699.1.pm.89 | Debug sources for package fpm2 |
| fpm2-lang | 0.90-1699.1.pm.89 | Translations for package fpm2 |
| fuzzynet | 1.2.0-2.37 | Fuzzy Logic Library for Mono |
| fuzzynet-devel | 1.2.0-2.37 | Fuzzy Logic Library for Mono |
| fwupd | 1.9.21-1.0.4.1.sr20240605 | Device firmware updater daemon |
| fwupd | 1.9.21-1.1 | Device firmware updater daemon |
| fwupd-bash-completion | 1.9.21-1.1 | Bash completion for fwupd |
| fwupd-devel | 1.9.21-1.0.4.1.sr20240605 | Allow session software to update device firmware |
| fwupd-devel | 1.9.21-1.1 | Allow session software to update device firmware |
| fwupd-doc | 1.9.21-1.1 | Developer documentation for fwupd |
| fwupd-fish-completion | 1.9.21-1.1 | Fish completion for fwupd |
| fwupd-lang | 1.9.21-1.1 | Translations for package fwupd |
| gdk-pixbuf-devel | 2.42.12-150600.1.1 | Development files for gdk-pixbuf, an image loading library |
| gdk-pixbuf-lang | 2.42.12-150600.1.1 | Translations for package gdk-pixbuf |
| gdk-pixbuf-loader-libheif | 1.17.6-lp156.80.1 | GDK PixBuf Loader for libheif |
| gdk-pixbuf-query-loaders | 2.42.12-150600.1.1 | Utility to create a cache of gdk-pixbuf loaders |
| gdk-pixbuf-thumbnailer | 2.42.12-150600.1.1 | System helper creating thumbnails |
| geos | 3.10.1-lp156.27.1 | Geometry Engine - Open Source |
| geos-devel | 3.10.1-lp156.27.1 | Development files for GEOS |
| gh | 2.51.0-1.1 | The official CLI for GitHub |
| gh-bash-completion | 2.51.0-1.1 | Bash Completion for gh |
| gh-fish-completion | 2.51.0-1.1 | Fish completion for gh |
| gh-zsh-completion | 2.51.0-1.1 | ZSH Completion for gh |
| ghc-unix-time | 0.4.15-1.58 | Unix time parser/formatter and utilities |
| ghc-unix-time | 0.4.15-1.1 | Unix time parser/formatter and utilities |
| ghc-unix-time | 0.4.15-1.0.2.1.sr20240605 | Unix time parser/formatter and utilities |
| ghc-unix-time | 0.4.15-dlh.74.6 | Unix time parser/formatter and utilities |
| ghc-unix-time | 0.4.15-1.1 | Unix time parser/formatter and utilities |
| ghc-unix-time | 0.4.15-1.1 | Unix time parser/formatter and utilities |
| ghc-unix-time-devel | 0.4.15-1.1 | Haskell unix-time library development files |
| ghc-unix-time-devel | 0.4.15-1.1 | Haskell unix-time library development files |
| ghc-unix-time-devel | 0.4.15-dlh.74.6 | Haskell unix-time library development files |
| ghc-unix-time-devel | 0.4.15-1.1 | Haskell unix-time library development files |
| ghc-unix-time-devel | 0.4.15-1.58 | Haskell unix-time library development files |
| ghc-unix-time-devel | 0.4.15-1.0.2.1.sr20240605 | Haskell unix-time library development files |
| ghc-unix-time-doc | 0.4.15-dlh.74.8 | Haskell unix-time library documentation |
| ghc-unix-time-doc | 0.4.15-1.1 | Haskell unix-time library documentation |
| ghc-unix-time-doc | 0.4.15-1.1 | Haskell unix-time library documentation |
| ghc-unix-time-doc | 0.4.15-1.1 | Haskell unix-time library documentation |
| ghc-unix-time-doc | 0.4.15-dlh.74.3 | Haskell unix-time library documentation |
| ghc-unix-time-doc | 0.4.15-dlh.74.61 | Haskell unix-time library documentation |
| ghc-unix-time-doc | 0.4.15-dlh.74.6 | Haskell unix-time library documentation |
| ghc-unix-time-doc | 0.4.15-1.1 | Haskell unix-time library documentation |
| ghc-unix-time-doc | 0.4.15-1.58 | Haskell unix-time library documentation |
| ghc-unix-time-doc | 0.4.15-dlh.74.6 | Haskell unix-time library documentation |
| ghc-unix-time-doc | 0.4.15-1.1 | Haskell unix-time library documentation |
| ghc-unix-time-prof | 0.4.15-1.1 | Haskell unix-time profiling library |
| ghc-unix-time-prof | 0.4.15-1.0.2.1.sr20240605 | Haskell unix-time profiling library |
| ghc-unix-time-prof | 0.4.15-1.1 | Haskell unix-time profiling library |
| ghc-unix-time-prof | 0.4.15-dlh.74.6 | Haskell unix-time profiling library |
| ghc-unix-time-prof | 0.4.15-1.58 | Haskell unix-time profiling library |
| ghc-unix-time-prof | 0.4.15-1.1 | Haskell unix-time profiling library |
| girepository-1_0 | 1.78.1-lp155.3.10 | Base GObject Introspection Bindings |
| gitea-formula | 2.2.1-lp156.1.1 | Salt states for managing Gitea |
| gitea-formula | 2.2.1-1.1 | Salt states for managing Gitea |
| gitea-formula | 2.2.1-lp155.1.1 | Salt states for managing Gitea |
| gitleaks | 8.18.4-1.1 | Protect and discover secrets using Gitleaks |
| gitleaks | 8.18.4-1.0.2.1.sr20240605 | Protect and discover secrets using Gitleaks |
| gitleaks | 8.18.4-1.1 | Protect and discover secrets using Gitleaks |
| gitleaks | 8.18.4-1.1 | Protect and discover secrets using Gitleaks |
| gnuplot-doc | 6.0.1-Aub150500.187.1 | Documentation of gnuplot |
| gobject-introspection | 1.78.1-lp155.3.10 | GObject Introspection Tools |
| gobject-introspection-devel | 1.78.1-lp155.3.10 | GObject Introspection Development Files |
| golang | 1.21.10-1.el9_4 | The Go Programming Language |
| golang | 1.21.10-1.el9_4 | The Go Programming Language |
| golang-bin | 1.21.10-1.el9_4 | Golang core compiler tools |
| golang-bin | 1.21.10-1.el9_4 | Golang core compiler tools |
| golang-docs | 1.21.10-1.el9_4 | Golang compiler docs |
| golang-docs | 1.21.10-1.el9_4 | Golang compiler docs |
| golang-docs | 1.21.10-1.el9_4 | Golang compiler docs |
| golang-docs | 1.21.10-1.el9_4 | Golang compiler docs |
| golang-docs | 1.21.10-1.el9_4 | Golang compiler docs |
| golang-misc | 1.21.10-1.el9_4 | Golang compiler miscellaneous sources |
| golang-misc | 1.21.10-1.el9_4 | Golang compiler miscellaneous sources |
| golang-misc | 1.21.10-1.el9_4 | Golang compiler miscellaneous sources |
| golang-misc | 1.21.10-1.el9_4 | Golang compiler miscellaneous sources |
| golang-misc | 1.21.10-1.el9_4 | Golang compiler miscellaneous sources |
| golang-src | 1.21.10-1.el9_4 | Golang compiler source tree |
| golang-src | 1.21.10-1.el9_4 | Golang compiler source tree |
| golang-src | 1.21.10-1.el9_4 | Golang compiler source tree |
| golang-src | 1.21.10-1.el9_4 | Golang compiler source tree |
| golang-src | 1.21.10-1.el9_4 | Golang compiler source tree |
| golang-tests | 1.21.10-1.el9_4 | Golang compiler tests for stdlib |
| golang-tests | 1.21.10-1.el9_4 | Golang compiler tests for stdlib |
| golang-tests | 1.21.10-1.el9_4 | Golang compiler tests for stdlib |
| golang-tests | 1.21.10-1.el9_4 | Golang compiler tests for stdlib |
| golang-tests | 1.21.10-1.el9_4 | Golang compiler tests for stdlib |
| google-errorprone-annotation | 2.26.1-slfo.1.1.2 | @BugPattern annotation |
| google-errorprone-docgen_processor | 2.26.1-slfo.1.1.2 | @BugPattern annotation processor |
| google-errorprone-javadoc | 2.26.1-slfo.1.1.2 | Javadoc for google-errorprone |
| google-errorprone-parent | 2.26.1-slfo.1.1.2 | Error Prone parent POM |
| google-errorprone-type_annotations | 2.26.1-slfo.1.1.2 | error-prone type annotations |
| google-guest-agent | 20240611.01-1.1 | Google Cloud Guest Agent |
| google-guest-configs | 20240607.00-1.1 | Google Cloud Guest Configs |
| google-guest-configs | 20240607.00-1.1 | Google Cloud Guest Configs |
| google-osconfig-agent | 20240607.00-1.1 | Google Cloud Guest Agent |
| gr-iio | 0.4git20230304-sdr.3.18 | IIO linux addon for gnuradio |
| grains-formula | 2.2.1-1.1 | Salt state for managing grains |
| grains-formula | 2.2.1-lp155.1.1 | Salt state for managing grains |
| grains-formula | 2.2.1-lp156.1.1 | Salt state for managing grains |
| gtk2-engine-clearlooks | 2.20.2-3.2 | Clearlooks GTK+ 2 Theme Engine |
| gtk2-engine-clearlooks | 2.20.2-3.2 | Clearlooks GTK+ 2 Theme Engine |
| gtk2-engine-crux | 2.20.2-3.2 | Crux GTK+ 2 Theme Engine |
| gtk2-engine-crux | 2.20.2-3.2 | Crux GTK+ 2 Theme Engine |
| gtk2-engine-glide | 2.20.2-3.2 | Glide GTK+ 2 Theme Engine |
| gtk2-engine-glide | 2.20.2-3.2 | Glide GTK+ 2 Theme Engine |
| gtk2-engine-hcengine | 2.20.2-3.2 | HC GTK+ 2 Theme Engine |
| gtk2-engine-hcengine | 2.20.2-3.2 | HC GTK+ 2 Theme Engine |
| gtk2-engine-industrial | 2.20.2-3.2 | Industrial GTK+ 2 Theme Engine |
| gtk2-engine-industrial | 2.20.2-3.2 | Industrial GTK+ 2 Theme Engine |
| gtk2-engine-mist | 2.20.2-3.2 | Mist GTK+ 2 Theme Engine |
| gtk2-engine-mist | 2.20.2-3.2 | Mist GTK+ 2 Theme Engine |
| gtk2-engine-murrine | 0.98.2-3.2 | Murrine GTK Theme Engine |
| gtk2-engine-murrine | 0.98.2-3.2 | Murrine GTK Theme Engine |
| gtk2-engine-redmond95 | 2.20.2-3.2 | Redmond GTK+ 2 Theme Engine |
| gtk2-engine-redmond95 | 2.20.2-3.2 | Redmond GTK+ 2 Theme Engine |
| gtk2-engine-thinice | 2.20.2-3.2 | ThinIce GTK+ 2 Theme Engine |
| gtk2-engine-thinice | 2.20.2-3.2 | ThinIce GTK+ 2 Theme Engine |
| gtk2-engines | 2.20.2-3.2 | GTK+ 2 Theme Engines |
| gtk2-engines | 2.20.2-3.2 | GTK+ 2 Theme Engines |
| gtk2-engines-devel | 2.20.2-3.2 | Development files for gtk2-engines |
| gtk2-engines-devel | 2.20.2-3.2 | Development files for gtk2-engines |
| gtk2-theme-clearlooks | 2.20.2-3.2 | Clearlooks Theme for GTK+ 2 |
| gtk2-theme-clearlooks | 2.20.2-3.2 | Clearlooks Theme for GTK+ 2 |
| gtk2-theme-crux | 2.20.2-3.2 | Crux Theme for GTK+ 2 |
| gtk2-theme-crux | 2.20.2-3.2 | Crux Theme for GTK+ 2 |
| gtk2-theme-industrial | 2.20.2-3.2 | Industrial Theme for GTK+ 2 |
| gtk2-theme-industrial | 2.20.2-3.2 | Industrial Theme for GTK+ 2 |
| gtk2-theme-mist | 2.20.2-3.2 | Mist Theme for GTK+ 2 |
| gtk2-theme-mist | 2.20.2-3.2 | Mist Theme for GTK+ 2 |
| gtk2-theme-redmond95 | 2.20.2-3.2 | Redmond Theme for GTK+ 2 |
| gtk2-theme-redmond95 | 2.20.2-3.2 | Redmond Theme for GTK+ 2 |
| gtk2-theme-thinice | 2.20.2-3.2 | ThinIce Theme for GTK+ 2 |
| gtk2-theme-thinice | 2.20.2-3.2 | ThinIce Theme for GTK+ 2 |
| guarany-qt5 | 1.4.0-lp156.8.6 | GUI for the Guarany crypto-currency |
| guaranyd | 1.4.0-lp156.8.6 | Headless daemon for guarany crypto-currency |
| gutenprint | 5.3.4-2024gos20.84.4 | Printer drivers for CUPS from the Gutenprint project |
| gutenprint-devel | 5.3.4-2024gos20.84.4 | Development Environment for Gutenprint |
| gutenprint-gimpplugin | 5.3.4-2024gos20.84.4 | Alternative GIMP print plug-in from the Gutenprint project |
| hayagriva | 0.11.1-1.1 | Standalone CLI of built-in bibliography management tool |
| hayagriva | 0.11.1-1.0.2.1.sr20240605 | Standalone CLI of built-in bibliography management tool |
| hyprland | 0.41.1-11.15 | Dynamic tiling Wayland compositor |
| hyprland | 0.41.1-11.15 | Dynamic tiling Wayland compositor |
| hyprland | 0.41.1-11.18 | Dynamic tiling Wayland compositor |
| hyprland | 0.41.1-11.18 | Dynamic tiling Wayland compositor |
| hyprland-bash-completion | 0.41.1-11.15 | Bash Completion for hyprland |
| hyprland-bash-completion | 0.41.1-11.18 | Bash Completion for hyprland |
| hyprland-devel | 0.41.1-11.15 | Files required to build Hyprland plugins |
| hyprland-devel | 0.41.1-11.18 | Files required to build Hyprland plugins |
| hyprland-fish-completion | 0.41.1-11.18 | Fish Completion for hyprland |
| hyprland-fish-completion | 0.41.1-11.15 | Fish Completion for hyprland |
| hyprland-wallpapers | 0.41.1-11.18 | Hyprland wallpapers |
| hyprland-wallpapers | 0.41.1-11.15 | Hyprland wallpapers |
| hyprland-zsh-completion | 0.41.1-11.15 | ZSH Completion for hyprland |
| hyprland-zsh-completion | 0.41.1-11.18 | ZSH Completion for hyprland |
| hyprutils | 0.2.1+git0_0252fd1-1.3 | Hyprutils is a small C++ library for utilities used across t |
| hyprutils | 0.2.1+git0_0252fd1-1.3 | Hyprutils is a small C++ library for utilities used across t |
| hyprutils-devel | 0.2.1+git0_0252fd1-1.3 | Development files for hyprutils |
| hyprutils-devel | 0.2.1+git0_0252fd1-1.3 | Development files for hyprutils |
| hyprwayland-scanner | 0.3.10-1.0.4.1.sr20240605 | Hyprland implementation of wayland-scanner |
| hyprwayland-scanner | 0.3.10-1.1 | Hyprland implementation of wayland-scanner |
| hyprwayland-scanner | 0.4.0+git0_a048a6c-1.6 | A Hyprland implementation of wayland-scanner, in and for C++ |
| hyprwayland-scanner | 0.4.0+git0_a048a6c-1.6 | A Hyprland implementation of wayland-scanner, in and for C++ |
| hyprwayland-scanner-devel | 0.4.0+git0_a048a6c-1.6 | Development files for hyprwayland-scanner |
| hyprwayland-scanner-devel | 0.4.0+git0_a048a6c-1.6 | Development files for hyprwayland-scanner |
| ibm-data-db2 | 6.12.0-lp154.10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-lp155.10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-lp153.10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-lp156.10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-lp155.10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-lp154.10.1 | Database connectivity for DB2 |
| ibm-data-db2 | 6.12.0-9.1 | Database connectivity for DB2 |
| ICAClient | 24.5.0.76-lp155.1.1 | Citrix Client Full Package |
| ICAClient | 23.9.0.24-lp155.1.1 | Citrix Client Full Package |
| ICAClient | 24.5.0.76-lp156.1.1 | Citrix Client Full Package |
| ICAClient | 24.5.0.76-1.2 | Citrix Client Full Package |
| ICAClient | 23.9.0.24-lp156.1.1 | Citrix Client Full Package |
| ICAClient | 24.5.0.76-1.2 | Citrix Client Full Package |
| ICAClient | 24.5.0.76-Virt.150400.1.1 | Citrix Client Full Package |
| ICAClient | 23.9.0.24-Virt.150400.1.1 | Citrix Client Full Package |
| imglib2 | 7.0.3-1.7 | A generic next-generation Java library for image processing |
| imglib2-javadoc | 7.0.3-1.7 | API documentation for imglib2 |
| infrastructure-formula | 2.2.1-1.1 | Salt states specific to the openSUSE/SUSE infrastructures |
| infrastructure-formula | 2.2.1-lp155.1.1 | Salt states specific to the openSUSE/SUSE infrastructures |
| infrastructure-formula | 2.2.1-lp156.1.1 | Salt states specific to the openSUSE/SUSE infrastructures |
| infrastructure-formulas-common | 2.2.1-1.1 | Files and directories shared by formulas |
| infrastructure-formulas-common | 2.2.1-lp156.1.1 | Files and directories shared by formulas |
| infrastructure-formulas-common | 2.2.1-lp155.1.1 | Files and directories shared by formulas |
| ink | 0.5.3-2024gos20.2.5 | Check the ink level of your printer with linux |
| IPCE | r7-1.9 | Implementation of the Python programming language running on |
| ispc | 1.23.0-lp156.37.1 | C-based SPMD programming language compiler |
| ispc-devel | 1.23.0-lp156.37.1 | Development files for ispc |
| java-1_8_0-openjdk | 1.8.0.412-3.0.2.1.sr20240605 | OpenJDK 8 Runtime Environment |
| java-1_8_0-openjdk | 1.8.0.412-3.1 | OpenJDK 8 Runtime Environment |
| java-1_8_0-openjdk-accessibility | 1.8.0.412-3.0.2.1.sr20240605 | OpenJDK 8 accessibility connector |
| java-1_8_0-openjdk-accessibility | 1.8.0.412-3.1 | OpenJDK 8 accessibility connector |
| java-1_8_0-openjdk-demo | 1.8.0.412-3.1 | OpenJDK 8 Demos |
| java-1_8_0-openjdk-demo | 1.8.0.412-3.0.2.1.sr20240605 | OpenJDK 8 Demos |
| java-1_8_0-openjdk-devel | 1.8.0.412-3.1 | OpenJDK 8 Development Environment |
| java-1_8_0-openjdk-devel | 1.8.0.412-3.0.2.1.sr20240605 | OpenJDK 8 Development Environment |
| java-1_8_0-openjdk-headless | 1.8.0.412-3.1 | OpenJDK 8 Runtime Environment |
| java-1_8_0-openjdk-headless | 1.8.0.412-3.0.2.1.sr20240605 | OpenJDK 8 Runtime Environment |
| java-1_8_0-openjdk-javadoc | 1.8.0.412-3.1 | OpenJDK 8 API Documentation |
| java-1_8_0-openjdk-src | 1.8.0.412-3.1 | OpenJDK 8 Source Bundle |
| java-1_8_0-openjdk-src | 1.8.0.412-3.0.2.1.sr20240605 | OpenJDK 8 Source Bundle |
| jboss-classfilewriter | 1.3.1-1.26 | JBoss Class File Writer |
| jboss-classfilewriter-javadoc | 1.3.1-1.26 | API documentation for jboss-classfilewriter |
| jboss-vfs | 3.3.2-1.2 | JBoss VFS |
| jboss-vfs | 3.3.2-1.2 | JBoss VFS |
| jboss-vfs | 3.3.2-1.3 | JBoss VFS |
| jboss-vfs | 3.3.2-1.3 | JBoss VFS |
| jboss-vfs | 3.3.2-1.3 | JBoss VFS |
| jboss-vfs | 3.3.2-1.2 | JBoss VFS |
| jboss-vfs | 3.3.2-1.3 | JBoss VFS |
| jboss-vfs-javadoc | 3.3.2-1.3 | API documentation for jboss-vfs |
| jboss-vfs-javadoc | 3.3.2-1.2 | API documentation for jboss-vfs |
| jboss-vfs-javadoc | 3.3.2-1.2 | API documentation for jboss-vfs |
| jboss-vfs-javadoc | 3.3.2-1.3 | API documentation for jboss-vfs |
| jboss-vfs-javadoc | 3.3.2-1.3 | API documentation for jboss-vfs |
| jboss-vfs-javadoc | 3.3.2-1.3 | API documentation for jboss-vfs |
| jboss-vfs-javadoc | 3.3.2-1.2 | API documentation for jboss-vfs |
| jenkins-formula | 2.2.1-lp155.1.1 | Salt states for managing Jenkins |
| jenkins-formula | 2.2.1-lp156.1.1 | Salt states for managing Jenkins |
| jenkins-formula | 2.2.1-1.1 | Salt states for managing Jenkins |
| jpeginfo | 1.6.1-lp156.2.1 | Utility for optimizing/compressing JPEG files, and to check |
| juniper_junos-formula | 2.2.1-lp155.1.1 | Salt states for managing Junos |
| juniper_junos-formula | 2.2.1-1.1 | Salt states for managing Junos |
| juniper_junos-formula | 2.2.1-lp156.1.1 | Salt states for managing Junos |
| kanku-cli | 0.17.1.git20240607.4f6bc2c-491.6 | Command line client for kanku |
| kanku-cli | 0.17.1-3.26 | Command line client for kanku |
| kanku-common | 0.17.1-3.26 | Common files for kanku |
| kanku-common | 0.17.1.git20240607.4f6bc2c-491.6 | Common files for kanku |
| kanku-common-server | 0.17.1-3.26 | Common server files or settings for kanku |
| kanku-common-server | 0.17.1.git20240607.4f6bc2c-491.6 | Common server files or settings for kanku |
| kanku-dispatcher | 0.17.1-3.26 | Dispatcher daemon for kanku |
| kanku-dispatcher | 0.17.1.git20240607.4f6bc2c-491.6 | Dispatcher daemon for kanku |
| kanku-doc | 0.17.1-3.26 | Documentation files for kanku |
| kanku-doc | 0.17.1.git20240607.4f6bc2c-491.6 | Documentation files for kanku |
| kanku-iptables | 0.17.1.git20240607.4f6bc2c-491.6 | Store and restore kanku iptables rules |
| kanku-iptables | 0.17.1-3.26 | Store and restore kanku iptables rules |
| kanku-scheduler | 0.17.1.git20240607.4f6bc2c-491.6 | Scheduler daemon for kanku |
| kanku-scheduler | 0.17.1-3.26 | Scheduler daemon for kanku |
| kanku-triggerd | 0.17.1-3.26 | Trigger daemon for kanku |
| kanku-triggerd | 0.17.1.git20240607.4f6bc2c-491.6 | Trigger daemon for kanku |
| kanku-urlwrapper | 0.17.1-3.26 | Url wrapper for kanku:// urls |
| kanku-urlwrapper | 0.17.1.git20240607.4f6bc2c-491.6 | Url wrapper for kanku:// urls |
| kanku-web | 0.17.1.git20240607.4f6bc2c-491.6 | WebUI for kanku |
| kanku-web | 0.17.1-3.26 | WebUI for kanku |
| kanku-worker | 0.17.1-3.26 | Worker daemon for kanku |
| kanku-worker | 0.17.1.git20240607.4f6bc2c-491.6 | Worker daemon for kanku |
| kexec-formula | 2.2.1-lp156.1.1 | Salt states for managing Kexec |
| kexec-formula | 2.2.1-lp155.1.1 | Salt states for managing Kexec |
| kexec-formula | 2.2.1-1.1 | Salt states for managing Kexec |
| keylime-config | 7.11.0-1.1 | Configuration file for keylime |
| keylime-config | 7.11.0-114.12 | Configuration file for keylime |
| keylime-config | 7.11.0-1.1 | Configuration file for keylime |
| keylime-config | 7.11.0-1.1 | Configuration file for keylime |
| keylime-config | 7.11.0-114.7 | Configuration file for keylime |
| keylime-config | 7.11.0-114.7 | Configuration file for keylime |
| keylime-config | 7.11.0-100.1 | Configuration file for keylime |
| keylime-config | 7.11.0-100.2 | Configuration file for keylime |
| keylime-config | 7.11.0-lp155.111.1 | Configuration file for keylime |
| keylime-config | 7.11.0-114.7 | Configuration file for keylime |
| keylime-config | 7.11.0-100.1 | Configuration file for keylime |
| keylime-config | 7.11.0-100.1 | Configuration file for keylime |
| keylime-config | 7.11.0-100.3 | Configuration file for keylime |
| keylime-config | 7.11.0-100.2 | Configuration file for keylime |
| keylime-config | 7.11.0-100.2 | Configuration file for keylime |
| keylime-config | 7.11.0-100.1 | Configuration file for keylime |
| keylime-config | 7.11.0-100.2 | Configuration file for keylime |
| keylime-config | 7.11.0-100.1 | Configuration file for keylime |
| keylime-config | 7.11.0-99.1 | Configuration file for keylime |
| keylime-config | 7.11.0-2.6 | Configuration file for keylime |
| keylime-config | 7.11.0-1.3 | Configuration file for keylime |
| keylime-config | 7.11.0-99.1 | Configuration file for keylime |
| keylime-config | 7.11.0-1.2 | Configuration file for keylime |
| keylime-firewalld | 7.11.0-100.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-114.7 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-100.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-100.2 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-114.12 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-100.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-114.7 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-100.3 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-1.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-99.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-100.2 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-99.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-1.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-114.7 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-100.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-100.2 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-100.2 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-100.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-lp155.111.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-1.1 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-2.6 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-1.3 | Firewalld service file for keylime |
| keylime-firewalld | 7.11.0-1.2 | Firewalld service file for keylime |
| keylime-ima-policy | 0.2.6~0-60.6 | IMA policy for Keylime agent |
| keylime-ima-policy | 0.2.6~0-1.1 | IMA policy for Keylime agent |
| keylime-ima-policy | 0.2.6~0-60.2 | IMA policy for Keylime agent |
| keylime-ima-policy | 0.2.6~0-1.1 | IMA policy for Keylime agent |
| keylime-ima-policy | 0.2.6~0-60.3 | IMA policy for Keylime agent |
| keylime-ima-policy | 0.2.6~0-1.0.2.1.sr20240605 | IMA policy for Keylime agent |
| keylime-ima-policy | 0.2.6~0-1.1 | IMA policy for Keylime agent |
| keylime-ima-policy | 0.2.6~0-60.3 | IMA policy for Keylime agent |
| keylime-ima-policy | 0.2.6~0-60.10 | IMA policy for Keylime agent |
| keylime-ima-policy | 0.2.6~0-60.10 | IMA policy for Keylime agent |
| keylime-logrotate | 7.11.0-114.7 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-114.7 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-1.3 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-100.3 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-100.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-2.6 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-lp155.111.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-114.7 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-100.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-114.12 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-1.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-100.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-100.2 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-100.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-99.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-1.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-1.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-1.2 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-99.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-100.1 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-100.2 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-100.2 | Logrotate for Keylime servies |
| keylime-logrotate | 7.11.0-100.2 | Logrotate for Keylime servies |
| keylime-registrar | 7.11.0-114.7 | Keylime registrar service |
| keylime-registrar | 7.11.0-99.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-1.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-100.2 | Keylime registrar service |
| keylime-registrar | 7.11.0-99.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-114.7 | Keylime registrar service |
| keylime-registrar | 7.11.0-lp155.111.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-100.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-100.2 | Keylime registrar service |
| keylime-registrar | 7.11.0-100.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-2.6 | Keylime registrar service |
| keylime-registrar | 7.11.0-1.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-114.12 | Keylime registrar service |
| keylime-registrar | 7.11.0-100.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-100.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-100.2 | Keylime registrar service |
| keylime-registrar | 7.11.0-100.3 | Keylime registrar service |
| keylime-registrar | 7.11.0-100.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-114.7 | Keylime registrar service |
| keylime-registrar | 7.11.0-1.2 | Keylime registrar service |
| keylime-registrar | 7.11.0-100.2 | Keylime registrar service |
| keylime-registrar | 7.11.0-1.1 | Keylime registrar service |
| keylime-registrar | 7.11.0-1.3 | Keylime registrar service |
| keylime-tenant | 7.11.0-1.2 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-114.12 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-1.1 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-114.7 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-100.1 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-100.1 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-2.6 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-100.2 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-1.3 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-100.2 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-lp155.111.1 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-1.1 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-100.3 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-100.1 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-99.1 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-100.1 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-100.2 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-114.7 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-100.2 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-1.1 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-114.7 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-100.1 | Keylime tenant command line tool |
| keylime-tenant | 7.11.0-99.1 | Keylime tenant command line tool |
| keylime-tpm_cert_store | 7.11.0-100.1 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-100.1 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-100.2 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-100.1 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-100.2 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-1.3 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-100.1 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-100.3 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-99.1 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-114.7 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-114.12 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-100.2 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-100.2 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-114.7 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-2.6 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-1.1 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-99.1 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-1.2 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-1.1 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-114.7 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-100.1 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-1.1 | Certify store for the TPM |
| keylime-tpm_cert_store | 7.11.0-lp155.111.1 | Certify store for the TPM |
| keylime-verifier | 7.11.0-100.1 | Keylime verifier service |
| keylime-verifier | 7.11.0-1.3 | Keylime verifier service |
| keylime-verifier | 7.11.0-114.7 | Keylime verifier service |
| keylime-verifier | 7.11.0-114.7 | Keylime verifier service |
| keylime-verifier | 7.11.0-100.1 | Keylime verifier service |
| keylime-verifier | 7.11.0-lp155.111.1 | Keylime verifier service |
| keylime-verifier | 7.11.0-114.12 | Keylime verifier service |
| keylime-verifier | 7.11.0-114.7 | Keylime verifier service |
| keylime-verifier | 7.11.0-99.1 | Keylime verifier service |
| keylime-verifier | 7.11.0-99.1 | Keylime verifier service |
| keylime-verifier | 7.11.0-1.1 | Keylime verifier service |
| keylime-verifier | 7.11.0-100.2 | Keylime verifier service |
| keylime-verifier | 7.11.0-100.1 | Keylime verifier service |
| keylime-verifier | 7.11.0-1.1 | Keylime verifier service |
| keylime-verifier | 7.11.0-2.6 | Keylime verifier service |
| keylime-verifier | 7.11.0-100.2 | Keylime verifier service |
| keylime-verifier | 7.11.0-100.2 | Keylime verifier service |
| keylime-verifier | 7.11.0-100.2 | Keylime verifier service |
| keylime-verifier | 7.11.0-100.1 | Keylime verifier service |
| keylime-verifier | 7.11.0-100.1 | Keylime verifier service |
| keylime-verifier | 7.11.0-100.3 | Keylime verifier service |
| keylime-verifier | 7.11.0-1.2 | Keylime verifier service |
| keylime-verifier | 7.11.0-1.1 | Keylime verifier service |
| klassy | 5.2.breeze5.27.11-lp156.19.1 | Highly customizable theming for the KDE Plasma desktop |
| klassy | 5.2.breeze5.27.11-19.1 | Highly customizable theming for the KDE Plasma desktop |
| klassy | 6.1.breeze6.0.3-19.1 | Highly customizable theming for the KDE Plasma desktop |
| klassy | 5.2.breeze5.27.11-19.1 | Highly customizable theming for the KDE Plasma desktop |
| klassy | 5.2.breeze5.27.11-lp155.19.1 | Highly customizable theming for the KDE Plasma desktop |
| kodi | 21.0-2.fc41 | Media center |
| kodi-debuginfo | 21.0-2.fc41 | Debug information for package kodi |
| kodi-debugsource | 21.0-2.fc41 | Debug sources for package kodi |
| kodi-devel | 21.0-2.fc41 | Development files needed to compile C programs against kodi |
| kodi-eventclients | 21.0-2.fc41 | Media center event client remotes |
| kodi-eventclients-devel | 21.0-2.fc41 | Media center event client remotes development files |
| kodi-firewalld | 21.0-2.fc41 | FirewallD metadata files for Kodi |
| kubetail | 1.6.20-150500.1.1 | Tail Kubernetes logs from multiple pods at the same time |
| kubetail | 1.6.20-150600.1.1 | Tail Kubernetes logs from multiple pods at the same time |
| kubetail | 1.6.20-150400.1.1 | Tail Kubernetes logs from multiple pods at the same time |
| kubetail-bash-completion | 1.6.20-150400.1.1 | Bash Completion for kubetail |
| kubetail-bash-completion | 1.6.20-150600.1.1 | Bash Completion for kubetail |
| kubetail-bash-completion | 1.6.20-150500.1.1 | Bash Completion for kubetail |
| kubetail-fish-completion | 1.6.20-150400.1.1 | Fish Completion for kubetail |
| kubetail-fish-completion | 1.6.20-150600.1.1 | Fish Completion for kubetail |
| kubetail-fish-completion | 1.6.20-150500.1.1 | Fish Completion for kubetail |
| kubetail-zsh-completion | 1.6.20-150500.1.1 | Zsh Completion for kubetail |
| kubetail-zsh-completion | 1.6.20-150600.1.1 | Zsh Completion for kubetail |
| kubetail-zsh-completion | 1.6.20-150400.1.1 | Zsh Completion for kubetail |
| kvantum-doc | 1.1.2-lp155.50.1 | Documentation for Kvantum engine |
| kvantum-manager | 1.1.2-lp155.50.1 | GUI for installing, selecting and manipulating Kvantum theme |
| kvantum-manager-lang | 1.1.2-lp155.50.1 | Translations for Kvantum manager |
| kvantum-qt6 | 1.1.2-lp155.50.1 | SVG-based theme engine for Qt5 and Qt6 |
| kvantum-themes | 1.1.2-lp155.50.1 | Themes for Kvantum engine |
| lapack-devel | 3.12.0-1.1 | Linear Algebra PACKage: headers and source files for develop |
| lapack-devel-32bit | 3.12.0-1.1 | Linear Algebra PACKage: headers and source files for develop |
| lapack-devel-static | 3.12.0-1.1 | Linear Algebra Package - static libraries |
| lapack-man | 3.9.0-slfo.1.2.1 | Manpages for LAPACK and BLAS |
| lapack-man | 3.12.0-1.1 | Man pages for BLAS, CBLAS, and LAPACK |
| lapacke-devel | 3.12.0-1.1 | Native C Interface to LAPACK: headers and sources for develo |
| lapacke-devel-32bit | 3.12.0-1.1 | Native C Interface to LAPACK: headers and sources for develo |
| lapacke-devel-static | 3.12.0-1.1 | Native C Interface to LAPACK: static library |
| lapackpp-devel | 2024.05.31-3.15 | Headers and sources for developing against lapackpp |
| lapackpp-devel | 2024.05.31-1.1 | Headers and sources for developing against lapackpp |
| lapackpp-devel | 2024.05.31-1.1 | Headers and sources for developing against lapackpp |
| lapackpp-devel | 2024.05.31-3.15 | Headers and sources for developing against lapackpp |
| ldacBT-devel | 2.0.2.3-3.1 | Development files for ldacBT |
| ldacBT-devel | 2.0.2.3-3.1 | Development files for ldacBT |
| libabsl_2401_0_0 | 20240116.2-lp155.43.8 | C++11 libraries which augment the C++ stdlib - others |
| libabsl_lite_2401_0_0 | 20240116.2-lp155.43.8 | C++11 libraries which augment the C++ stdlib - lite |
| libbitcoinconsensus0_sv | 1.1.0-lp154.2.1 | Implementation of getblocktemplate protocol |
| libbitcoinconsensus0_sv | 1.1.0-lp156.2.1 | Implementation of getblocktemplate protocol |
| libbitcoinconsensus0_sv-devel | 1.1.0-lp154.2.1 | Development files for libbitcoinconsensus0 |
| libbitcoinconsensus0_sv-devel | 1.1.0-lp156.2.1 | Development files for libbitcoinconsensus0 |
| libblas3 | 3.12.0-1.1 | Basic Linear Algebra Subprograms: Shared Library |
| libblas3-32bit | 3.12.0-1.1 | Basic Linear Algebra Subprograms: Shared Library |
| libblaspp1 | 2024.05.31-1.1 | Shared library for blaspp |
| libblaspp1 | 2024.05.31-1.1 | Shared library for blaspp |
| libblaspp1 | 2024.05.31-5.17 | Shared library for blaspp |
| libblaspp1 | 2024.05.31-5.17 | Shared library for blaspp |
| libboost_atomic1_74_0 | 1.74.0-lp154.5.1 | Boost.Atomic runtime library |
| libboost_atomic1_74_0 | 1.74.0-lp156.5.1 | Boost.Atomic runtime library |
| libboost_atomic1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Atomic runtime library |
| libboost_atomic1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Atomic runtime library |
| libboost_atomic1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Atomic |
| libboost_atomic1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Atomic |
| libboost_chrono1_74_0 | 1.74.0-lp156.5.1 | The Boost::Chrono runtime library |
| libboost_chrono1_74_0 | 1.74.0-lp154.5.1 | The Boost::Chrono runtime library |
| libboost_chrono1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Chrono library |
| libboost_chrono1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Chrono library |
| libboost_container1_74_0 | 1.74.0-lp156.5.1 | Boost.Container runtime library |
| libboost_container1_74_0 | 1.74.0-lp154.5.1 | Boost.Container runtime library |
| libboost_container1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Container runtime library |
| libboost_container1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Container runtime library |
| libboost_container1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Container |
| libboost_container1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Container |
| libboost_context1_74_0 | 1.74.0-lp154.5.1 | Boost.Context runtime library |
| libboost_context1_74_0 | 1.74.0-lp156.5.1 | Boost.Context runtime library |
| libboost_context1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Context runtime library |
| libboost_context1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Context runtime library |
| libboost_context1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Context |
| libboost_context1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Context |
| libboost_contract1_74_0 | 1.74.0-lp156.5.1 | Boost.Contract runtime library |
| libboost_contract1_74_0 | 1.74.0-lp154.5.1 | Boost.Contract runtime library |
| libboost_contract1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Contract |
| libboost_contract1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Contract |
| libboost_coroutine1_74_0 | 1.74.0-lp154.5.1 | Boost::Coroutine runtime library |
| libboost_coroutine1_74_0 | 1.74.0-lp156.5.1 | Boost::Coroutine runtime library |
| libboost_coroutine1_74_0-32bit | 1.74.0-lp154.5.1 | Boost::Coroutine runtime library |
| libboost_coroutine1_74_0-32bit | 1.74.0-lp156.5.1 | Boost::Coroutine runtime library |
| libboost_coroutine1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Coroutine |
| libboost_coroutine1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Coroutine |
| libboost_date_time1_74_0 | 1.74.0-lp154.5.1 | Boost.DateTime runtime library |
| libboost_date_time1_74_0 | 1.74.0-lp156.5.1 | Boost.DateTime runtime library |
| libboost_date_time1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.DateTime runtime library |
| libboost_date_time1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.DateTime runtime library |
| libboost_date_time1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.DateTime library |
| libboost_date_time1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.DateTime library |
| libboost_fiber1_74_0 | 1.74.0-lp154.5.1 | Boost.Fiber runtime library |
| libboost_fiber1_74_0 | 1.74.0-lp156.5.1 | Boost.Fiber runtime library |
| libboost_fiber1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Fiber runtime library |
| libboost_fiber1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Fiber runtime library |
| libboost_fiber1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Fiber library |
| libboost_fiber1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Fiber library |
| libboost_filesystem1_74_0 | 1.74.0-lp156.5.1 | Boost.Filesystem Runtime Libraries |
| libboost_filesystem1_74_0 | 1.74.0-lp154.5.1 | Boost.Filesystem Runtime Libraries |
| libboost_filesystem1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Filesystem Runtime Libraries |
| libboost_filesystem1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Filesystem Runtime Libraries |
| libboost_filesystem1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Filesystem library |
| libboost_filesystem1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Filesystem library |
| libboost_graph1_74_0 | 1.74.0-lp154.5.1 | Boost.Graph runtime library |
| libboost_graph1_74_0 | 1.74.0-lp156.5.1 | Boost.Graph runtime library |
| libboost_graph1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Graph runtime library |
| libboost_graph1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Graph runtime library |
| libboost_graph1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Graph library |
| libboost_graph1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Graph library |
| libboost_headers1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost |
| libboost_headers1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost |
| libboost_iostreams1_74_0 | 1.74.0-lp154.5.1 | Boost.IOStreams Runtime Libraries |
| libboost_iostreams1_74_0 | 1.74.0-lp156.5.1 | Boost.IOStreams Runtime Libraries |
| libboost_iostreams1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.IOStreams Runtime Libraries |
| libboost_iostreams1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.IOStreams Runtime Libraries |
| libboost_iostreams1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.IOStreans library |
| libboost_iostreams1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.IOStreans library |
| libboost_locale1_74_0 | 1.74.0-lp154.5.1 | Boost::Locale runtime library |
| libboost_locale1_74_0 | 1.74.0-lp156.5.1 | Boost::Locale runtime library |
| libboost_locale1_74_0-32bit | 1.74.0-lp156.5.1 | Boost::Locale runtime library |
| libboost_locale1_74_0-32bit | 1.74.0-lp154.5.1 | Boost::Locale runtime library |
| libboost_locale1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Locale library |
| libboost_locale1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Locale library |
| libboost_log1_74_0 | 1.74.0-lp154.5.1 | Boost.Log runtime Run-Time library |
| libboost_log1_74_0 | 1.74.0-lp156.5.1 | Boost.Log runtime Run-Time library |
| libboost_log1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Log library |
| libboost_log1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Log library |
| libboost_math1_74_0 | 1.74.0-lp156.5.1 | Boost.Math runtime libraries |
| libboost_math1_74_0 | 1.74.0-lp154.5.1 | Boost.Math runtime libraries |
| libboost_math1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Math runtime libraries |
| libboost_math1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Math runtime libraries |
| libboost_math1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Math libraries |
| libboost_math1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Math libraries |
| libboost_nowide1_74_0 | 1.74.0-lp156.5.1 | Boost.Nowide runtime libraries |
| libboost_nowide1_74_0 | 1.74.0-lp154.5.1 | Boost.Nowide runtime libraries |
| libboost_nowide1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Nowide runtime libraries |
| libboost_nowide1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Nowide runtime libraries |
| libboost_nowide1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Nowide libraries |
| libboost_nowide1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Nowide libraries |
| libboost_program_options1_74_0 | 1.74.0-lp156.5.1 | Boost.ProgramOptions runtime library |
| libboost_program_options1_74_0 | 1.74.0-lp154.5.1 | Boost.ProgramOptions runtime library |
| libboost_program_options1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.ProgramOptions runtime library |
| libboost_program_options1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.ProgramOptions runtime library |
| libboost_program_options1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.ProgramOptions library |
| libboost_program_options1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.ProgramOptions library |
| libboost_random1_74_0 | 1.74.0-lp156.5.1 | Boost.Random runtime library |
| libboost_random1_74_0 | 1.74.0-lp154.5.1 | Boost.Random runtime library |
| libboost_random1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Random runtime library |
| libboost_random1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Random runtime library |
| libboost_random1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Random library |
| libboost_random1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Random library |
| libboost_regex1_74_0 | 1.74.0-lp154.5.1 | Boost.Regex runtime library |
| libboost_regex1_74_0 | 1.74.0-lp156.5.1 | Boost.Regex runtime library |
| libboost_regex1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Regex runtime library |
| libboost_regex1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Regex runtime library |
| libboost_regex1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Regex library |
| libboost_regex1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Regex library |
| libboost_serialization1_74_0 | 1.74.0-lp154.5.1 | Boost.Serialization runtime library |
| libboost_serialization1_74_0 | 1.74.0-lp156.5.1 | Boost.Serialization runtime library |
| libboost_serialization1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Serialization runtime library |
| libboost_serialization1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Serialization runtime library |
| libboost_serialization1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Serialization library |
| libboost_serialization1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Serialization library |
| libboost_stacktrace1_74_0 | 1.74.0-lp154.5.1 | Boost.Stacktrace runtime library |
| libboost_stacktrace1_74_0 | 1.74.0-lp156.5.1 | Boost.Stacktrace runtime library |
| libboost_stacktrace1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Stacktrace runtime library |
| libboost_stacktrace1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Stacktrace runtime library |
| libboost_stacktrace1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Stacktrace library |
| libboost_stacktrace1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Stacktrace library |
| libboost_system1_74_0 | 1.74.0-lp154.5.1 | Boost.System runtime library |
| libboost_system1_74_0 | 1.74.0-lp156.5.1 | Boost.System runtime library |
| libboost_system1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.System runtime library |
| libboost_system1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.System runtime library |
| libboost_system1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.System library |
| libboost_system1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.System library |
| libboost_test1_74_0 | 1.74.0-lp156.5.1 | Boost.Test runtime library |
| libboost_test1_74_0 | 1.74.0-lp154.5.1 | Boost.Test runtime library |
| libboost_test1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Test runtime library |
| libboost_test1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Test runtime library |
| libboost_test1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Test library |
| libboost_test1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Test library |
| libboost_thread1_74_0 | 1.74.0-lp154.5.1 | Boost.Thread runtime libraries |
| libboost_thread1_74_0 | 1.74.0-lp156.5.1 | Boost.Thread runtime libraries |
| libboost_thread1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Thread runtime libraries |
| libboost_thread1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Thread runtime libraries |
| libboost_thread1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Thread library |
| libboost_thread1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Thread library |
| libboost_timer1_74_0 | 1.74.0-lp156.5.1 | Boost.Timer runtime library |
| libboost_timer1_74_0 | 1.74.0-lp154.5.1 | Boost.Timer runtime library |
| libboost_timer1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Timer library |
| libboost_timer1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Timer library |
| libboost_type_erasure1_74_0 | 1.74.0-lp156.5.1 | Boost.TypeErasure runtime library |
| libboost_type_erasure1_74_0 | 1.74.0-lp154.5.1 | Boost.TypeErasure runtime library |
| libboost_type_erasure1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.TypeErasure runtime library |
| libboost_type_erasure1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.TypeErasure runtime library |
| libboost_type_erasure1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.TypeErasure library |
| libboost_type_erasure1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.TypeErasure library |
| libboost_wave1_74_0 | 1.74.0-lp154.5.1 | Boost.Wave runtime library |
| libboost_wave1_74_0 | 1.74.0-lp156.5.1 | Boost.Wave runtime library |
| libboost_wave1_74_0-32bit | 1.74.0-lp156.5.1 | Boost.Wave runtime library |
| libboost_wave1_74_0-32bit | 1.74.0-lp154.5.1 | Boost.Wave runtime library |
| libboost_wave1_74_0-devel | 1.74.0-lp154.5.1 | Development headers for Boost.Wave library |
| libboost_wave1_74_0-devel | 1.74.0-lp156.5.1 | Development headers for Boost.Wave library |
| libcblas3 | 3.12.0-1.1 | Native C interface to BLAS: Shared Library |
| libcblas3-32bit | 3.12.0-1.1 | Native C interface to BLAS: Shared Library |
| libcoeurl0_3 | 0.3.1-lp155.8.1 | Libraries for coeurl |
| libcoeurl0_3 | 0.3.1-lp156.8.1 | Libraries for coeurl |
| libdashconsensus0 | 20.1.1-lp153.3.1 | Implementation of getblocktemplate protocol |
| libdashconsensus0-devel | 20.1.1-lp153.3.1 | Development files for libdashconsensus0 |
| libdbusmenu-lxqt-devel | 0.1.0-lp155.4.1 | Development package for libdbusmenu-lxqt |
| libdbusmenu-lxqt0 | 0.1.0-lp155.4.1 | Development package for dbusmenu-lxqt-qt6 |
| libdc1394-25 | 2.2.6-lp155.2.5 | 1394-based digital camera control library |
| libdc1394-devel | 2.2.6-lp155.2.5 | Development libraries and header files for dc1394 |
| libdc1394-tools | 2.2.6-lp155.2.5 | Command-line utilities from libdc1394 |
| libdrm-devel | 2.4.121-2024.344.1 | Libraries, includes and more to develop libdrm applications |
| libdrm-devel-32bit | 2.4.121-2024.344.1 | Libraries, includes and more to develop libdrm applications |
| libdrm-tools | 2.4.121-2024.344.1 | Diagnostic utilities for DRI and DRM |
| libdrm2 | 2.4.121-2024.344.1 | Userspace Interface for Kernel DRM Services |
| libdrm2-32bit | 2.4.121-2024.344.1 | Userspace Interface for Kernel DRM Services |
| libdrm_amdgpu1 | 2.4.121-2024.344.1 | Userspace interface for Kernel DRM services for AMD Radeon c |
| libdrm_amdgpu1-32bit | 2.4.121-2024.344.1 | Userspace interface for Kernel DRM services for AMD Radeon c |
| libdrm_intel1 | 2.4.121-2024.344.1 | Userspace interface for Kernel DRM services for Intel chips |
| libdrm_intel1-32bit | 2.4.121-2024.344.1 | Userspace interface for Kernel DRM services for Intel chips |
| libdrm_nouveau2 | 2.4.121-2024.344.1 | Userspace interface for Kernel DRM services for NVIDIA chips |
| libdrm_nouveau2-32bit | 2.4.121-2024.344.1 | Userspace interface for Kernel DRM services for NVIDIA chips |
| libdrm_radeon1 | 2.4.121-2024.344.1 | Userspace interface for Kernel DRM services for AMD Radeon c |
| libdrm_radeon1-32bit | 2.4.121-2024.344.1 | Userspace interface for Kernel DRM services for AMD Radeon c |
| libebpfflow | 0.0.0+git.20190428-bp156.1.4 | Traffic visibility library based on eBPF |
| libeconf-devel | 0.7.2-1.1 | Development files for libeconf |
| libeconf-devel | 0.7.2-1.1 | Development files for libeconf |
| libeconf-devel | 0.7.2-1.1 | Development files for libeconf |
| libeconf-devel | 0.7.2-1.1 | Development files for libeconf |
| libeconf-devel | 0.7.2-1.1 | Development files for libeconf |
| libeconf-devel | 0.7.2-1.1 | Development files for libeconf |
| libeconf-devel | 0.7.2-1.1 | Development files for libeconf |
| libeconf-devel | 0.7.2-2.1 | Development files for libeconf |
| libeconf-devel-static | 0.7.2-1.1 | Static library for libeconf |
| libeconf-devel-static | 0.7.2-1.1 | Static library for libeconf |
| libeconf-devel-static | 0.7.2-1.1 | Static library for libeconf |
| libeconf-devel-static | 0.7.2-1.1 | Static library for libeconf |
| libeconf-devel-static | 0.7.2-1.1 | Static library for libeconf |
| libeconf-devel-static | 0.7.2-1.1 | Static library for libeconf |
| libeconf-devel-static | 0.7.2-1.1 | Static library for libeconf |
| libeconf-devel-static | 0.7.2-2.1 | Static library for libeconf |
| libeconf-utils | 0.7.2-1.1 | Command line interface for libeconf |
| libeconf-utils | 0.7.2-1.1 | Command line interface for libeconf |
| libeconf-utils | 0.7.2-1.1 | Command line interface for libeconf |
| libeconf-utils | 0.7.2-1.1 | Command line interface for libeconf |
| libeconf-utils | 0.7.2-1.1 | Command line interface for libeconf |
| libeconf-utils | 0.7.2-1.1 | Command line interface for libeconf |
| libeconf-utils | 0.7.2-1.1 | Command line interface for libeconf |
| libeconf-utils | 0.7.2-2.1 | Command line interface for libeconf |
| libeconf0 | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libeconf0 | 0.7.2-2.1 | Enhanced config file parser ala systemd |
| libeconf0 | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libeconf0 | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libeconf0 | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libeconf0 | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libeconf0 | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libeconf0 | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libeconf0-32bit | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libeconf0-32bit | 0.7.2-2.1 | Enhanced config file parser ala systemd |
| libeconf0-32bit | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libeconf0-32bit | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libeconf0-32bit | 0.7.2-1.1 | Enhanced config file parser ala systemd |
| libexif-devel | 0.6.24-3.1 | An EXIF Tag Parsing Library for Digital Cameras (Development |
| libexif-devel | 0.6.24-3.1 | An EXIF Tag Parsing Library for Digital Cameras (Development |
| libexif12 | 0.6.24-3.1 | An EXIF Tag Parsing Library for Digital Cameras |
| libexif12 | 0.6.24-3.1 | An EXIF Tag Parsing Library for Digital Cameras |
| libextractor | 1.13-lp156.12.1 | Library to Extract Metadata from Files |
| libextractor | 1.13-lp156.16.1 | Library to Extract Metadata from Files |
| libextractor-devel | 1.13-lp156.16.1 | Include Files and Libraries mandatory for Development with l |
| libextractor-devel | 1.13-lp156.12.1 | Include Files and Libraries mandatory for Development with l |
| libextractor-lang | 1.13-lp156.16.1 | Translations for package libextractor |
| libextractor-lang | 1.13-lp156.12.1 | Translations for package libextractor |
| libextractor-plugins | 1.13-lp156.12.1 | Installs all plugins for libextractor |
| libextractor-plugins | 1.13-lp156.16.1 | Installs all plugins for libextractor |
| libextractor-plugins-archive | 1.13-lp156.12.1 | The \'archive\' libextractor plugin |
| libextractor-plugins-archive | 1.13-lp156.16.1 | The \'archive\' libextractor plugin |
| libextractor-plugins-base | 1.13-lp156.12.1 | Base pugins for libextractor |
| libextractor-plugins-base | 1.13-lp156.16.1 | Base pugins for libextractor |
| libextractor-plugins-exiv2 | 1.13-lp156.12.1 | The \'exiv2\' libextractor plugin |
| libextractor-plugins-exiv2 | 1.13-lp156.16.1 | The \'exiv2\' libextractor plugin |
| libextractor-plugins-flac | 1.13-lp156.12.1 | The \'flac\' libextractor plugin |
| libextractor-plugins-flac | 1.13-lp156.16.1 | The \'flac\' libextractor plugin |
| libextractor-plugins-gif | 1.13-lp156.16.1 | The \'gif\' libextractor plugin |
| libextractor-plugins-gif | 1.13-lp156.12.1 | The \'gif\' libextractor plugin |
| libextractor-plugins-gstreamer | 1.13-lp156.12.1 | The \'gstreamer\' libextractor plugin |
| libextractor-plugins-gstreamer | 1.13-lp156.16.1 | The \'gstreamer\' libextractor plugin |
| libextractor-plugins-html | 1.13-lp156.16.1 | The \'html\' libextractor plugin |
| libextractor-plugins-html | 1.13-lp156.12.1 | The \'html\' libextractor plugin |
| libextractor-plugins-jpeg | 1.13-lp156.12.1 | The \'jpeg\' libextractor plugin |
| libextractor-plugins-jpeg | 1.13-lp156.16.1 | The \'jpeg\' libextractor plugin |
| libextractor-plugins-mime | 1.13-lp156.12.1 | The \'mime\' libextractor plugin |
| libextractor-plugins-mime | 1.13-lp156.16.1 | The \'mime\' libextractor plugin |
| libextractor-plugins-mpeg | 1.13-lp156.12.1 | The \'mpeg\' libextractor plugin |
| libextractor-plugins-mpeg | 1.13-lp156.16.1 | The \'mpeg\' libextractor plugin |
| libextractor-plugins-ogg | 1.13-lp156.12.1 | The \'ogg\' libextractor plugin |
| libextractor-plugins-ogg | 1.13-lp156.16.1 | The \'ogg\' libextractor plugin |
| libextractor-plugins-ole2 | 1.13-lp156.16.1 | The \'ole2\' libextractor plugin |
| libextractor-plugins-ole2 | 1.13-lp156.12.1 | The \'ole2\' libextractor plugin |
| libextractor-plugins-rpm | 1.13-lp156.12.1 | The \'rpm\' libextractor plugin |
| libextractor-plugins-rpm | 1.13-lp156.16.1 | The \'rpm\' libextractor plugin |
| libextractor-plugins-thumbnailgtk | 1.13-lp156.16.1 | The \'thumbnailgtk\' libextractor plugin |
| libextractor-plugins-thumbnailgtk | 1.13-lp156.12.1 | The \'thumbnailgtk\' libextractor plugin |
| libextractor-plugins-tiff | 1.13-lp156.16.1 | The \'tiff\' libextractor plugin |
| libextractor-plugins-tiff | 1.13-lp156.12.1 | The \'tiff\' libextractor plugin |
| libextractor3 | 1.13-lp156.16.1 | Shared libraries for libextractor |
| libextractor3 | 1.13-lp156.12.1 | Shared libraries for libextractor |
| libextractor_common1 | 1.13-lp156.12.1 | Shared libraries (common) for libextractor |
| libextractor_common1 | 1.13-lp156.16.1 | Shared libraries (common) for libextractor |
| libfdk-aac-devel | 2.0.0-3.1 | Development files for fdk-aac-free |
| libfdk-aac-devel | 2.0.0-3.1 | Development files for fdk-aac-free |
| libfdk-aac2 | 2.0.0-3.1 | Modified Version of the FDK AAC Codec Library for Android |
| libfdk-aac2 | 2.0.0-3.1 | Modified Version of the FDK AAC Codec Library for Android |
| libffado-devel | 2.4.7-3.1 | Development files for ffado |
| libffado-devel | 2.4.7-3.0.2.1.sr20240605 | Development files for ffado |
| libffado-devel | 2.4.7-3.1 | Development files for ffado |
| libffado2 | 2.4.7-3.0.2.1.sr20240605 | FireWire 1394 support for audio devices |
| libffado2 | 2.4.7-3.1 | FireWire 1394 support for audio devices |
| libffado2 | 2.4.7-3.1 | FireWire 1394 support for audio devices |
| libffado2-32bit | 2.4.7-3.1 | FireWire 1394 support for audio devices |
| libffado2-32bit | 2.4.7-3.1 | FireWire 1394 support for audio devices |
| libflatpak0 | 1.15.8-2.1 | OSTree based application bundle management library |
| libflatpak0 | 1.15.8-2.0.2.1.sr20240605 | OSTree based application bundle management library |
| libflatpak0 | 1.15.8-3.0.2.1.sr20240702 | OSTree based application bundle management library |
| libflatpak0 | 1.15.8-2.1 | OSTree based application bundle management library |
| libfpm_helper-devel | 4.7.1-lp156.89.1 | Development files of libfpm_helper0 |
| libfpm_helper0 | 4.7.1-lp156.89.1 | Mono.WebServer.FPM Helper |
| libfwupd2 | 1.9.21-1.0.4.1.sr20240605 | Allow session software to update device firmware |
| libfwupd2 | 1.9.21-1.1 | Allow session software to update device firmware |
| libgbm-devel | 24.0.5-2024.37.2 | Development files for the EGL API |
| libgbm-devel | 24.0.9-2024.14.2 | Development files for the EGL API |
| libgbm-devel-32bit | 24.0.5-2024.37.2 | Development files for the EGL API |
| libgbm-devel-32bit | 24.0.9-2024.14.2 | Development files for the EGL API |
| libgbm1 | 24.0.5-2024.37.2 | Generic buffer management API |
| libgbm1 | 24.0.9-2024.14.2 | Generic buffer management API |
| libgbm1-32bit | 24.0.9-2024.14.2 | Generic buffer management API |
| libgbm1-32bit | 24.0.5-2024.37.2 | Generic buffer management API |
| libgdk_pixbuf-2_0-0 | 2.42.12-150600.1.1 | An image loading library |
| libgeos3_10_1 | 3.10.1-lp156.27.1 | Geometry Engine library |
| libgeos_c1 | 3.10.1-lp156.27.1 | C language interface for the GEOS library |
| libgirepository-1_0-1 | 1.78.1-lp155.3.10 | GObject Introspection Library |
| libgnuradio-iio-devel | 0.4git20230304-sdr.3.18 | Development files for iio linux addon for gnuradio |
| libgnuradio-iio1_0_0 | 0.4git20230304-sdr.3.18 | IIO linux addon for gnuradio |
| libheif-aom | 1.17.6-lp156.80.1 | Plugin AOM encoder and decoder for AVIF |
| libheif-dav1d | 1.17.6-lp156.80.1 | Plugin dav1d decoder for AVIF |
| libheif-devel | 1.17.6-lp156.80.1 | Devel Package for libheif |
| libheif-ffmpeg | 1.17.6-lp156.80.1 | Plugin FFMPEG decoder (HW acc) for HEIC |
| libheif-jpeg | 1.17.6-lp156.80.1 | Plugin encoder and decoder for JPEG in HEIF |
| libheif-openjpeg | 1.17.6-lp156.80.1 | Plugin OpenJPEG J2K encoder and decoder for JPEG-2000 in HEI |
| libheif-rav1e | 1.17.6-lp156.80.1 | Plugin rav1e encoder for AVIF |
| libheif1 | 1.17.6-lp156.80.1 | HEIF/AVIF file format decoder and encoder |
| libhylia-devel | 20210820-lp155.1.1 | Development files for libhylia |
| libhylia-devel | 20210820-lp156.1.1 | Development files for libhylia |
| libispcrt1 | 1.23.0-lp156.37.1 | C-based SPMD programming language compiler library |
| libixion-0_18-0 | 0.18.1-2024gos20.2.3 | Threaded multi-target formula parser & interpreter |
| libixion-devel | 0.18.1-2024gos20.2.3 | Threaded multi-target formula parser & interpreter |
| libixion-tools | 0.18.1-2024gos20.2.3 | Spreadsheet file processing library |
| liblapack3 | 3.12.0-1.1 | Linear Algebra PACKage: Shared Library |
| liblapack3-32bit | 3.12.0-1.1 | Linear Algebra PACKage: Shared Library |
| liblapacke3 | 3.12.0-1.1 | Native C Interface to LAPACK: shared library |
| liblapacke3-32bit | 3.12.0-1.1 | Native C Interface to LAPACK: shared library |
| liblapackpp1 | 2024.05.31-3.15 | Shared library for lapackpp |
| liblapackpp1 | 2024.05.31-1.1 | Shared library for lapackpp |
| liblapackpp1 | 2024.05.31-1.1 | Shared library for lapackpp |
| liblapackpp1 | 2024.05.31-3.15 | Shared library for lapackpp |
| libldac2 | 2.0.2.3-3.1 | A lossy audio codec for Bluetooth connections |
| libldac2 | 2.0.2.3-3.1 | A lossy audio codec for Bluetooth connections |
| libltdl7 | 2.4.7-3.1 | Libtool Runtime Library |
| libltdl7 | 2.4.7-3.1 | Libtool Runtime Library |
| libluv-devel | 1.45.0~0-lp155.51.1 | Header files for lua51-luv |
| libluv-devel | 1.45.0~0-lp156.52.2 | Header files for lua51-luv |
| libluv-devel | 1.45.0~0-lp156.51.2 | Header files for lua51-luv |
| libluv1 | 1.45.0~0-lp156.51.2 | Lua bindings for libluv as a library |
| libluv1 | 1.45.0~0-lp155.51.1 | Lua bindings for libluv as a library |
| libluv1 | 1.45.0~0-lp156.52.2 | Lua bindings for libluv as a library |
| libmono-2_0-1 | 6.12.0-lp156.10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-lp154.10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-lp155.10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-lp154.10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-lp155.10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-lp153.10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application |
| libmono-2_0-1 | 6.12.0-9.1 | A Library for embedding Mono in your Application |
| libmono-2_0-devel | 6.12.0-lp154.10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-lp155.10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-9.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-lp154.10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-lp155.10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-lp153.10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-lp156.10.1 | Development files for libmono |
| libmono-2_0-devel | 6.12.0-10.1 | Development files for libmono |
| libmonoboehm-2_0-1 | 6.12.0-lp154.10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-lp155.10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-lp153.10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-lp154.10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-9.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-lp155.10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-1 | 6.12.0-lp156.10.1 | A Library for embedding Mono in your Application (Boehm GC) |
| libmonoboehm-2_0-devel | 6.12.0-lp155.10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-lp156.10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-lp155.10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-lp154.10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-lp154.10.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-9.1 | Development files for libmonoboehm |
| libmonoboehm-2_0-devel | 6.12.0-lp153.10.1 | Development files for libmonoboehm |
| libMonoFuseHelper | 0.4.2-1.9 | Development files for Mono.Fuse |
| libMonoFuseHelper-devel | 0.4.2-1.9 | Development files for Mono.Fuse |
| libmonosgen-2_0-1 | 6.12.0-lp155.10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-lp154.10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-lp154.10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-lp156.10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-lp155.10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-9.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-lp153.10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-1 | 6.12.0-10.1 | A Library for embedding Mono in your Application (SGen GC) |
| libmonosgen-2_0-devel | 6.12.0-10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-lp155.10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-lp154.10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-lp153.10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-9.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-lp155.10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-lp156.10.1 | Development files for libmonosgen |
| libmonosgen-2_0-devel | 6.12.0-lp154.10.1 | Development files for libmonosgen |
| libnetapi | 4.19.4-105.el9_4 | The NETAPI library |
| libnetapi | 4.19.4-105.el9_4 | The NETAPI library |
| libnetapi | 4.19.4-105.el9_4 | The NETAPI library |
| libnetapi | 4.19.4-105.el9_4 | The NETAPI library |
| libnetapi-devel | 4.19.4-105.el9_4 | Developer tools for the NETAPI library |
| libnetapi-devel | 4.19.4-105.el9_4 | Developer tools for the NETAPI library |
| libnetapi-devel | 4.19.4-105.el9_4 | Developer tools for the NETAPI library |
| libnetapi-devel | 4.19.4-105.el9_4 | Developer tools for the NETAPI library |
| libntfs-3g-devel | 2022.10.3-lp151.7.1 | NTFS Support in Userspace -- Development Files |
| libntfs-3g-devel | 2022.10.3-lp152.7.1 | NTFS Support in Userspace -- Development Files |
| libntfs-3g89 | 2022.10.3-lp151.7.1 | NTFS Support in Userspace -- Library |
| libntfs-3g89 | 2022.10.3-lp152.7.1 | NTFS Support in Userspace -- Library |
| libnvpair3 | 2.2.1-lp156.1.14 | A tools library for manipulating pairs |
| libOpenImageDenoise2 | 2.2.2-lp156.16.1 | Shared library for Open Image Denoise library |
| libOpenImageDenoise_core2_2_2 | 2.2.2-lp156.16.1 | Shared library for Open Image Denoise library |
| libOpenImageDenoise_device_cpu2_2_2 | 2.2.2-lp156.16.1 | Shared library for Open Image Denoise library |
| liborcus-0_18-0 | 0.18.1-2024gos20.2.3 | Spreadsheet file processing library |
| liborcus-devel | 0.18.1-2024gos20.2.3 | Spreadsheet file processing library |
| liborcus-tools | 0.18.1-2024gos20.2.3 | Spreadsheet file processing library |
| libOSMesa-devel | 24.0.5-2024.37.2 | Development files for the Mesa Offscreen Rendering extension |
| libOSMesa-devel | 24.0.9-2024.14.2 | Development files for the Mesa Offscreen Rendering extension |
| libOSMesa-devel-32bit | 24.0.9-2024.14.2 | Development files for the Mesa Offscreen Rendering extension |
| libOSMesa-devel-32bit | 24.0.5-2024.37.2 | Development files for the Mesa Offscreen Rendering extension |
| libOSMesa8 | 24.0.5-2024.37.2 | Mesa Off-screen rendering extension |
| libOSMesa8 | 24.0.9-2024.14.2 | Mesa Off-screen rendering extension |
| libOSMesa8-32bit | 24.0.5-2024.37.2 | Mesa Off-screen rendering extension |
| libOSMesa8-32bit | 24.0.9-2024.14.2 | Mesa Off-screen rendering extension |
| libpixman-1-0 | 0.43.2-1.2 | Pixel manipulation library |
| libpixman-1-0 | 0.43.2-1.2 | Pixel manipulation library |
| libpixman-1-0-devel | 0.43.2-1.2 | Development files for the Pixel Manipulation library |
| libpixman-1-0-devel | 0.43.2-1.2 | Development files for the Pixel Manipulation library |
| libpmem-devel | 2.1.0-150500.45.1 | Development files for the low-level persistent memory librar |
| libpmem1 | 2.1.0-150500.45.1 | Low-level persistent memory support library |
| libpmem2-1 | 2.1.0-150500.45.1 | Low-level persistent memory support library |
| libpmem2-devel | 2.1.0-150500.45.1 | Development files for the low-level persistent memory librar |
| libpmemobj-devel | 2.1.0-150500.45.1 | Development files for the Persistent Memory Transactional Ob |
| libpmemobj1 | 2.1.0-150500.45.1 | Persistent Memory Transactional Object Store library |
| libpmempool-devel | 2.1.0-150500.45.1 | Development files for Persistent Memory pool management libr |
| libpmempool1 | 2.1.0-150500.45.1 | Persistent Memory pool management library |
| libpurple-plugin-matrix | 0.0.0~git.1624740297.91021c8-lp155.6.4 | Libpurple protocol plugin for Matrix |
| libpurple-plugin-signald | 1684680892.6951b1c-lp155.3.4 | Libpurple plugin for Signal messaging using signald |
| libpurple-plugin-skypeweb | 1.7-lp155.5.4 | Libpurple plugin for SkypeWeb API |
| libqpdf29 | 11.9.1-lp155.168.1 | Shared libraries for qpdf |
| libreoffice-branding-upstream | 7.6.7.2-2024gos20.2.9 | Original Branding for LibreOffice |
| libreoffice-data | 7.1.8.1-12.el9_4.alma.1 | LibreOffice data files |
| libreoffice-data | 7.1.8.1-12.el9_4.alma.1 | LibreOffice data files |
| libreoffice-data | 7.1.8.1-12.el9_4.alma.1 | LibreOffice data files |
| libreoffice-data | 7.1.8.1-12.el9_4.alma.1 | LibreOffice data files |
| libreoffice-data | 7.1.8.1-12.el9_4.alma.1 | LibreOffice data files |
| libreoffice-gdb-pretty-printers | 7.6.7.2-2024gos20.2.9 | Additional support for debugging with gdb |
| libreoffice-glade | 7.6.7.2-2024gos20.2.9 | Support for creating LibreOffice dialogs in glade |
| libreoffice-icon-themes | 7.6.7.2-2024gos20.2.9 | LibreOffice Icon Themes |
| libreoffice-l10n-af | 7.6.7.2-2024gos20.2.9 | Afrikaans Localization Files for LibreOffice |
| libreoffice-l10n-am | 7.6.7.2-2024gos20.2.9 | Amharic Localization Files for LibreOffice |
| libreoffice-l10n-ar | 7.6.7.2-2024gos20.2.9 | Arabic Localization Files for LibreOffice |
| libreoffice-l10n-as | 7.6.7.2-2024gos20.2.9 | Assamese Localization Files for LibreOffice |
| libreoffice-l10n-ast | 7.6.7.2-2024gos20.2.9 | Asturian Localization Files for LibreOffice |
| libreoffice-l10n-be | 7.6.7.2-2024gos20.2.9 | Belarusian localization files for LibreOffice |
| libreoffice-l10n-bg | 7.6.7.2-2024gos20.2.9 | Bulgarian Localization Files for LibreOffice |
| libreoffice-l10n-bn | 7.6.7.2-2024gos20.2.9 | Bengali Localization Files for LibreOffice |
| libreoffice-l10n-bn_IN | 7.6.7.2-2024gos20.2.9 | Bengali_India localization files for LibreOffice |
| libreoffice-l10n-bo | 7.6.7.2-2024gos20.2.9 | Tibetian localization files for LibreOffice |
| libreoffice-l10n-br | 7.6.7.2-2024gos20.2.9 | Breton Localization Files for LibreOffice |
| libreoffice-l10n-brx | 7.6.7.2-2024gos20.2.9 | Bodo localization files for LibreOffice |
| libreoffice-l10n-bs | 7.6.7.2-2024gos20.2.9 | Bosnian localization files for LibreOffice |
| libreoffice-l10n-ca | 7.6.7.2-2024gos20.2.9 | Catalan Localization Files for LibreOffice |
| libreoffice-l10n-ca_valencia | 7.6.7.2-2024gos20.2.9 | Valencian localization files for LibreOffice |
| libreoffice-l10n-ckb | 7.6.7.2-2024gos20.2.9 | Central_Kurdish localization files for LibreOffice |
| libreoffice-l10n-cs | 7.6.7.2-2024gos20.2.9 | Czech Localization Files for LibreOffice |
| libreoffice-l10n-cy | 7.6.7.2-2024gos20.2.9 | Welsh Localization Files for LibreOffice |
| libreoffice-l10n-da | 7.6.7.2-2024gos20.2.9 | Danish Localization Files for LibreOffice |
| libreoffice-l10n-de | 7.6.7.2-2024gos20.2.9 | German Localization Files for LibreOffice |
| libreoffice-l10n-dgo | 7.6.7.2-2024gos20.2.9 | Dogri localization files for LibreOffice |
| libreoffice-l10n-dsb | 7.6.7.2-2024gos20.2.9 | Lower_Sorbian localization files for LibreOffice |
| libreoffice-l10n-dz | 7.6.7.2-2024gos20.2.9 | Dzongkha Localization Files for LibreOffice |
| libreoffice-l10n-el | 7.6.7.2-2024gos20.2.9 | Greek Localization Files for LibreOffice |
| libreoffice-l10n-en | 7.6.7.2-2024gos20.2.9 | English Localization Files for LibreOffice |
| libreoffice-l10n-en_GB | 7.6.7.2-2024gos20.2.9 | English_GB localization files for LibreOffice |
| libreoffice-l10n-en_ZA | 7.6.7.2-2024gos20.2.9 | English_ZA localization files for LibreOffice |
| libreoffice-l10n-eo | 7.6.7.2-2024gos20.2.9 | Esperanto Localization Files for LibreOffice |
| libreoffice-l10n-es | 7.6.7.2-2024gos20.2.9 | Spanish Localization Files for LibreOffice |
| libreoffice-l10n-et | 7.6.7.2-2024gos20.2.9 | Estonian Localization Files for LibreOffice |
| libreoffice-l10n-eu | 7.6.7.2-2024gos20.2.9 | Basque Localization Files for LibreOffice |
| libreoffice-l10n-fa | 7.6.7.2-2024gos20.2.9 | Farsi Localization Files for LibreOffice |
| libreoffice-l10n-fi | 7.6.7.2-2024gos20.2.9 | Finnish Localization Files for LibreOffice |
| libreoffice-l10n-fr | 7.6.7.2-2024gos20.2.9 | French Localization Files for LibreOffice |
| libreoffice-l10n-fur | 7.6.7.2-2024gos20.2.9 | Friulian localization files for LibreOffice |
| libreoffice-l10n-fy | 7.6.7.2-2024gos20.2.9 | Frisian localization files for LibreOffice |
| libreoffice-l10n-ga | 7.6.7.2-2024gos20.2.9 | Irish Localization Files for LibreOffice |
| libreoffice-l10n-gd | 7.6.7.2-2024gos20.2.9 | Gaelic Localization Files for LibreOffice |
| libreoffice-l10n-gl | 7.6.7.2-2024gos20.2.9 | Galician Localization Files for LibreOffice |
| libreoffice-l10n-gu | 7.6.7.2-2024gos20.2.9 | Gujarati Localization Files for LibreOffice |
| libreoffice-l10n-gug | 7.6.7.2-2024gos20.2.9 | Paraguayan_Guaraní localization files for LibreOffice |
| libreoffice-l10n-he | 7.6.7.2-2024gos20.2.9 | Hebrew Localization Files for LibreOffice |
| libreoffice-l10n-hi | 7.6.7.2-2024gos20.2.9 | Hindi Localization Files for LibreOffice |
| libreoffice-l10n-hr | 7.6.7.2-2024gos20.2.9 | Croatian Localization Files for LibreOffice |
| libreoffice-l10n-hsb | 7.6.7.2-2024gos20.2.9 | Upper_Sorbian localization files for LibreOffice |
| libreoffice-l10n-hu | 7.6.7.2-2024gos20.2.9 | Hungarian Localization Files for LibreOffice |
| libreoffice-l10n-id | 7.6.7.2-2024gos20.2.9 | Indonesian Localization Files for LibreOffice |
| libreoffice-l10n-is | 7.6.7.2-2024gos20.2.9 | Icelandic Localization Files for LibreOffice |
| libreoffice-l10n-it | 7.6.7.2-2024gos20.2.9 | Italian Localization Files for LibreOffice |
| libreoffice-l10n-ja | 7.6.7.2-2024gos20.2.9 | Japanese Localization Files for LibreOffice |
| libreoffice-l10n-ka | 7.6.7.2-2024gos20.2.9 | Georgian Localization Files for LibreOffice |
| libreoffice-l10n-kab | 7.6.7.2-2024gos20.2.9 | Kabyle localization files for LibreOffice |
| libreoffice-l10n-kk | 7.6.7.2-2024gos20.2.9 | Kazakh Localization Files for LibreOffice |
| libreoffice-l10n-km | 7.6.7.2-2024gos20.2.9 | Khmer Localization Files for LibreOffice |
| libreoffice-l10n-kmr_Latn | 7.6.7.2-2024gos20.2.9 | Kurdish localization files for LibreOffice |
| libreoffice-l10n-kn | 7.6.7.2-2024gos20.2.9 | Kannada Localization Files for LibreOffice |
| libreoffice-l10n-ko | 7.6.7.2-2024gos20.2.9 | Korean Localization Files for LibreOffice |
| libreoffice-l10n-kok | 7.6.7.2-2024gos20.2.9 | Konkani localization files for LibreOffice |
| libreoffice-l10n-ks | 7.6.7.2-2024gos20.2.9 | Kashmiri localization files for LibreOffice |
| libreoffice-l10n-lb | 7.6.7.2-2024gos20.2.9 | Luxembourgish localization files for LibreOffice |
| libreoffice-l10n-lo | 7.6.7.2-2024gos20.2.9 | Lao localization files for LibreOffice |
| libreoffice-l10n-lt | 7.6.7.2-2024gos20.2.9 | Lithuanian Localization Files for LibreOffice |
| libreoffice-l10n-lv | 7.6.7.2-2024gos20.2.9 | Latvian Localization Files for LibreOffice |
| libreoffice-l10n-mai | 7.6.7.2-2024gos20.2.9 | Maithili Localization Files for LibreOffice |
| libreoffice-l10n-mk | 7.6.7.2-2024gos20.2.9 | Macedonian Localization Files for LibreOffice |
| libreoffice-l10n-ml | 7.6.7.2-2024gos20.2.9 | Malayalam Localization Files for LibreOffice |
| libreoffice-l10n-mn | 7.6.7.2-2024gos20.2.9 | Monglolian localization files for LibreOffice |
| libreoffice-l10n-mni | 7.6.7.2-2024gos20.2.9 | Manipuri localization files for LibreOffice |
| libreoffice-l10n-mr | 7.6.7.2-2024gos20.2.9 | Marathi Localization Files for LibreOffice |
| libreoffice-l10n-my | 7.6.7.2-2024gos20.2.9 | Burnese localization files for LibreOffice |
| libreoffice-l10n-nb | 7.6.7.2-2024gos20.2.9 | Bokmal Localization Files for LibreOffice |
| libreoffice-l10n-ne | 7.6.7.2-2024gos20.2.9 | Nepali localization files for LibreOffice |
| libreoffice-l10n-nl | 7.6.7.2-2024gos20.2.9 | Dutch Localization Files for LibreOffice |
| libreoffice-l10n-nn | 7.6.7.2-2024gos20.2.9 | Nynorsk Localization Files for LibreOffice |
| libreoffice-l10n-nr | 7.6.7.2-2024gos20.2.9 | Southern_Ndebele Localization Files for LibreOffice |
| libreoffice-l10n-nso | 7.6.7.2-2024gos20.2.9 | Northern_Sotho Localization Files for LibreOffice |
| libreoffice-l10n-oc | 7.6.7.2-2024gos20.2.9 | Occitan localization files for LibreOffice |
| libreoffice-l10n-om | 7.6.7.2-2024gos20.2.9 | Oromo Localization Files for LibreOffice |
| libreoffice-l10n-or | 7.6.7.2-2024gos20.2.9 | Odia Localization Files for LibreOffice |
| libreoffice-l10n-pa | 7.6.7.2-2024gos20.2.9 | Punjabi Localization Files for LibreOffice |
| libreoffice-l10n-pl | 7.6.7.2-2024gos20.2.9 | Polish Localization Files for LibreOffice |
| libreoffice-l10n-pt_BR | 7.6.7.2-2024gos20.2.9 | Brazilian_Portuguese Localization Files for LibreOffice |
| libreoffice-l10n-pt_PT | 7.6.7.2-2024gos20.2.9 | Portuguese Localization Files for LibreOffice |
| libreoffice-l10n-ro | 7.6.7.2-2024gos20.2.9 | Romanian Localization Files for LibreOffice |
| libreoffice-l10n-ru | 7.6.7.2-2024gos20.2.9 | Russian Localization Files for LibreOffice |
| libreoffice-l10n-rw | 7.6.7.2-2024gos20.2.9 | Kinyarwanda Localization Files for LibreOffice |
| libreoffice-l10n-sat | 7.6.7.2-2024gos20.2.9 | Santali localization files for LibreOffice |
| libreoffice-l10n-sa_IN | 7.6.7.2-2024gos20.2.9 | Sanskrit localization files for LibreOffice |
| libreoffice-l10n-sd | 7.6.7.2-2024gos20.2.9 | Sindhi localization files for LibreOffice |
| libreoffice-l10n-si | 7.6.7.2-2024gos20.2.9 | Sinhalese Localization Files for LibreOffice |
| libreoffice-l10n-sid | 7.6.7.2-2024gos20.2.9 | Sidamo localization files for LibreOffice |
| libreoffice-l10n-sk | 7.6.7.2-2024gos20.2.9 | Slovak Localization Files for LibreOffice |
| libreoffice-l10n-sl | 7.6.7.2-2024gos20.2.9 | Slovenian Localization Files for LibreOffice |
| libreoffice-l10n-sq | 7.6.7.2-2024gos20.2.9 | Albanian localization files for LibreOffice |
| libreoffice-l10n-sr | 7.6.7.2-2024gos20.2.9 | Serbian Localization Files for LibreOffice |
| libreoffice-l10n-ss | 7.6.7.2-2024gos20.2.9 | Swati Localization Files for LibreOffice |
| libreoffice-l10n-st | 7.6.7.2-2024gos20.2.9 | Southern_Sotho Localization Files for LibreOffice |
| libreoffice-l10n-sv | 7.6.7.2-2024gos20.2.9 | Swedish Localization Files for LibreOffice |
| libreoffice-l10n-sw_TZ | 7.6.7.2-2024gos20.2.9 | Swahili localization files for LibreOffice |
| libreoffice-l10n-szl | 7.6.7.2-2024gos20.2.9 | Silesian localization files for LibreOffice |
| libreoffice-l10n-ta | 7.6.7.2-2024gos20.2.9 | Tamil Localization Files for LibreOffice |
| libreoffice-l10n-te | 7.6.7.2-2024gos20.2.9 | Telugu Localization Files for LibreOffice |
| libreoffice-l10n-tg | 7.6.7.2-2024gos20.2.9 | Tajik localization files for LibreOffice |
| libreoffice-l10n-th | 7.6.7.2-2024gos20.2.9 | Thai Localization Files for LibreOffice |
| libreoffice-l10n-tn | 7.6.7.2-2024gos20.2.9 | Tswana Localization Files for LibreOffice |
| libreoffice-l10n-tr | 7.6.7.2-2024gos20.2.9 | Turkish Localization Files for LibreOffice |
| libreoffice-l10n-ts | 7.6.7.2-2024gos20.2.9 | Tsonga Localization Files for LibreOffice |
| libreoffice-l10n-tt | 7.6.7.2-2024gos20.2.9 | Tatar localization files for LibreOffice |
| libreoffice-l10n-ug | 7.6.7.2-2024gos20.2.9 | Uyghur Localization Files for LibreOffice |
| libreoffice-l10n-uk | 7.6.7.2-2024gos20.2.9 | Ukrainian Localization Files for LibreOffice |
| libreoffice-l10n-uz | 7.6.7.2-2024gos20.2.9 | Uzbek localization files for LibreOffice |
| libreoffice-l10n-ve | 7.6.7.2-2024gos20.2.9 | Venda Localization Files for LibreOffice |
| libreoffice-l10n-vec | 7.6.7.2-2024gos20.2.9 | Venetian localization files for LibreOffice |
| libreoffice-l10n-vi | 7.6.7.2-2024gos20.2.9 | Vietnamese Localization Files for LibreOffice |
| libreoffice-l10n-xh | 7.6.7.2-2024gos20.2.9 | Xhosa Localization Files for LibreOffice |
| libreoffice-l10n-zh_CN | 7.6.7.2-2024gos20.2.9 | Simplified_Chinese Localization Files for LibreOffice |
| libreoffice-l10n-zh_TW | 7.6.7.2-2024gos20.2.9 | Traditional_Chinese Localization Files for LibreOffice |
| libreoffice-l10n-zu | 7.6.7.2-2024gos20.2.9 | Zulu Localization Files for LibreOffice |
| libreoffice-officebean-common | 7.1.8.1-12.el9_4.alma.1 | Common JavaBean for LibreOffice Components |
| libreoffice-officebean-common | 7.1.8.1-12.el9_4.alma.1 | Common JavaBean for LibreOffice Components |
| libreoffice-officebean-common | 7.1.8.1-12.el9_4.alma.1 | Common JavaBean for LibreOffice Components |
| libreoffice-officebean-common | 7.1.8.1-12.el9_4.alma.1 | Common JavaBean for LibreOffice Components |
| libreoffice-officebean-common | 7.1.8.1-12.el9_4.alma.1 | Common JavaBean for LibreOffice Components |
| libreoffice-opensymbol-fonts | 7.1.8.1-12.el9_4.alma.1 | LibreOffice dingbats font |
| libreoffice-opensymbol-fonts | 7.1.8.1-12.el9_4.alma.1 | LibreOffice dingbats font |
| libreoffice-opensymbol-fonts | 7.1.8.1-12.el9_4.alma.1 | LibreOffice dingbats font |
| libreoffice-opensymbol-fonts | 7.1.8.1-12.el9_4.alma.1 | LibreOffice dingbats font |
| libreoffice-opensymbol-fonts | 7.1.8.1-12.el9_4.alma.1 | LibreOffice dingbats font |
| libreoffice-ure-common | 7.1.8.1-12.el9_4.alma.1 | Common UNO Runtime Environment |
| libreoffice-ure-common | 7.1.8.1-12.el9_4.alma.1 | Common UNO Runtime Environment |
| libreoffice-ure-common | 7.1.8.1-12.el9_4.alma.1 | Common UNO Runtime Environment |
| libreoffice-ure-common | 7.1.8.1-12.el9_4.alma.1 | Common UNO Runtime Environment |
| libreoffice-ure-common | 7.1.8.1-12.el9_4.alma.1 | Common UNO Runtime Environment |
| libretro-atari800 | 0~git20220726-lp155.1.6 | Atari800 libretro core for Atari 5200 emulation |
| libretro-blueMSX | 20220208-lp155.6.4 | An interface for emulator and game ports |
| libretro-cannonball | 20230527-lp155.1.4 | An interface for emulator and game ports |
| libretro-cap32 | 20220310-lp155.5.4 | A core for a modular multi-system emulator system |
| libretro-desmume | 0~git20221101-lp155.11.6 | DeSmuME libretro core for Nintendo DS emulation |
| libretro-desmume2015 | 20210809-lp155.2.4 | An interface for emulator and game ports |
| libretro-fbalpha | 20210430-lp155.14.5 | An interface for emulator and game ports |
| libretro-fceumm | 20230531-lp155.1.4 | An interface for emulator and game ports |
| libretro-freeintv | 20220215-lp155.2.5 | FreeIntv libretro core for Mattel Intellivision emulation |
| libretro-genesis-plus-gx | 20230602-lp155.1.6 | An interface for emulator and game ports |
| libretro-genesis-plus-gx-wide | 202300602-lp155.1.6 | An interface for emulator and game ports |
| libretro-mame2003 | 20230423-lp155.1.4 | An interface for emulator and game ports |
| libretro-mame2003-plus | 20230602-lp155.1.6 | An interface for emulator and game ports |
| libretro-melonds | 20230412-lp155.1.6 | The melonds libretro core for Nintendo DS emulation |
| libretro-mgba | 20230531-lp155.1.6 | The mGBA libretro core for GameBoy Advance emulation |
| libretro-mupen64plus-nx | 20230401-lp155.4.4 | An interface for emulator and game ports |
| libretro-neocd | 20230109-lp155.1.4 | A core for a modular multi-system emulator system |
| libretro-np2kai | 20230528-lp155.1.4 | A core for a modular multi-system emulator system |
| libretro-opera | 20211214-lp155.5.6 | An interface for emulator and game ports |
| libretro-picodrive | 1665990363.0a4ec83-lp155.14.6 | An interface for emulator and game ports |
| libretro-prboom | 2.5.0-lp155.13.4 | Libretro core based on prboom |
| libretro-prosystem | 20230109-lp155.1.4 | An interface for emulator and game ports |
| libretro-quasi88 | 20220221-lp155.5.4 | A core for a modular multi-system emulator system |
| libretro-snes9x | 20230801-lp155.1.4 | An interface for emulator and game ports |
| libretro-swanstation | 0~git20230415-lp155.1.4 | Dolphin libretro core for Nintendo GameCube and Wii emulatio |
| libretro-tgbdual | 20221108-lp155.20.4 | An interface for emulator and game ports |
| libretro-vbam | 20221208-lp155.1.4 | An interface for emulator and game ports |
| libretro-vecx | 20211102-lp155.5.4 | An interface for emulator and game ports |
| libretro-virtualjaguar | 20211114-lp155.2.4 | A core for a modular multi-system emulator system |
| libretro-xrick | 20220301-lp155.5.4 | An interface for emulator and game ports |
| libretro-yabause | 20220212-lp155.6.4 | An interface for emulator and game ports |
| libsamba-policy-devel | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Development files for the Samba AD Group Policy library |
| libsamba-policy-python3-devel | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Development files for the Samba AD Group Policy library |
| libsamba-policy0-python3 | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Active Directory Group Policy library |
| libslepc3_18 | 3.18.2-lp155.2.7 | A library for solving large scale sparse eigenvalue problems |
| libsmbclient | 4.19.4-105.el9_4 | The SMB client library |
| libsmbclient | 4.19.4-105.el9_4 | The SMB client library |
| libsmbclient | 4.19.4-105.el9_4 | The SMB client library |
| libsmbclient | 4.19.4-105.el9_4 | The SMB client library |
| libsmbclient-devel | 4.19.4-105.el9_4 | Developer tools for the SMB client library |
| libsmbclient-devel | 4.19.4-105.el9_4 | Developer tools for the SMB client library |
| libsmbclient-devel | 4.19.4-105.el9_4 | Developer tools for the SMB client library |
| libsmbclient-devel | 4.19.4-105.el9_4 | Developer tools for the SMB client library |
| libspirv-cross-c-shared0 | 1.3.280.0-2024.44.1 | Library for SPIR-V reflection and disassembly |
| libsratom-0-0 | 0.6.14-2.1 | A library for serialising LV2 atoms to/from RDF |
| libsratom-0-0 | 0.6.14-2.1 | A library for serialising LV2 atoms to/from RDF |
| libsrt1_5 | 1.5.3-lp155.42.14 | Secure Reliable Transport (SRT) library |
| libsrtp-devel | 1.6.0-3.1 | Development files for the Secure Real-Time Transport Protoco |
| libsrtp-devel | 1.6.0-3.1 | Development files for the Secure Real-Time Transport Protoco |
| libsrtp1 | 1.6.0-3.1 | Secure Real-Time Transport Protocol (SRTP) Library |
| libsrtp1 | 1.6.0-3.1 | Secure Real-Time Transport Protocol (SRTP) Library |
| libtmglib3 | 3.12.0-1.1 | Test Matrix Generator Library: shared library |
| libtntnet13 | 3.0-lp156.4.1 | Shared library part of tntnet |
| libtntnet13 | 3.0-lp156.2.1 | Shared library part of tntnet |
| libtool | 2.4.7-3.1 | A tool to build shared libraries |
| libtool | 2.4.7-3.1 | A tool to build shared libraries |
| libuutil3 | 2.2.1-lp156.1.14 | ZFS utility library |
| libva-devel | 2.21.0-2024.183.1 | Development files for the Video Acceleration API |
| libva-devel-32bit | 2.21.0-2024.183.1 | Development files for the Video Acceleration API |
| libva-drm2 | 2.21.0-2024.183.1 | DRM backend for the Video Acceleration API |
| libva-drm2-32bit | 2.21.0-2024.183.1 | DRM backend for the Video Acceleration API |
| libva-gl-devel | 2.21.0-2024.183.1 | Development files for the Video Acceleration API |
| libva-gl-devel-32bit | 2.21.0-2024.183.1 | Development files for the Video Acceleration API |
| libva-glx2 | 2.21.0-2024.183.1 | GLX backend for the Video Acceleration API |
| libva-glx2-32bit | 2.21.0-2024.183.1 | GLX backend for the Video Acceleration API |
| libva-wayland2 | 2.21.0-2024.183.1 | Wayland backend for the Video Acceleration API |
| libva-wayland2-32bit | 2.21.0-2024.183.1 | Wayland backend for the Video Acceleration API |
| libva-x11-2 | 2.21.0-2024.183.1 | X11 backend for the Video Acceleration API |
| libva-x11-2-32bit | 2.21.0-2024.183.1 | X11 backend for the Video Acceleration API |
| libva2 | 2.21.0-2024.183.1 | Video Acceleration API |
| libva2-32bit | 2.21.0-2024.183.1 | Video Acceleration API |
| libvdpau-devel | 1.5-2024.38.1 | VDPAU wrapper development files |
| libvdpau-devel-32bit | 1.5-2024.38.1 | VDPAU wrapper development files |
| libvdpau1 | 1.5-2024.38.1 | VDPAU wrapper library |
| libvdpau1-32bit | 1.5-2024.38.1 | VDPAU wrapper library |
| libvdpau_nouveau | 24.0.9-2024.14.2 | Vdpau state tracker for Nouveau |
| libvdpau_nouveau | 24.0.5-2024.37.2 | Vdpau state tracker for Nouveau |
| libvdpau_nouveau-32bit | 24.0.5-2024.37.2 | Vdpau state tracker for Nouveau |
| libvdpau_nouveau-32bit | 24.0.9-2024.14.2 | Vdpau state tracker for Nouveau |
| libvdpau_r600 | 24.0.5-2024.37.2 | Vdpau state tracker for R600 |
| libvdpau_r600 | 24.0.9-2024.14.2 | Vdpau state tracker for R600 |
| libvdpau_r600-32bit | 24.0.9-2024.14.2 | Vdpau state tracker for R600 |
| libvdpau_r600-32bit | 24.0.5-2024.37.2 | Vdpau state tracker for R600 |
| libvdpau_radeonsi | 24.0.5-2024.37.2 | Vdpau state tracker for radeonsi |
| libvdpau_radeonsi | 24.0.9-2024.14.2 | Vdpau state tracker for radeonsi |
| libvdpau_radeonsi-32bit | 24.0.5-2024.37.2 | Vdpau state tracker for radeonsi |
| libvdpau_radeonsi-32bit | 24.0.9-2024.14.2 | Vdpau state tracker for radeonsi |
| libvdpau_trace1 | 1.5-2024.38.1 | VDPAU trace library |
| libvdpau_trace1-32bit | 1.5-2024.38.1 | VDPAU trace library |
| libvdpau_virtio_gpu | 24.0.9-2024.14.2 | VDPAU state tracker for VirtIO GPU |
| libvdpau_virtio_gpu | 24.0.5-2024.37.2 | VDPAU state tracker for VirtIO GPU |
| libvdpau_virtio_gpu-32bit | 24.0.5-2024.37.2 | VDPAU state tracker for VirtIO GPU |
| libvdpau_virtio_gpu-32bit | 24.0.9-2024.14.2 | VDPAU state tracker for VirtIO GPU |
| libvirglrenderer1 | 1.0.1-2024.45.1 | Virgil3D renderer |
| libvirt-formula | 2.2.1-1.1 | Salt states for managing libvirt |
| libvirt-formula | 2.2.1-lp156.1.1 | Salt states for managing libvirt |
| libvirt-formula | 2.2.1-lp155.1.1 | Salt states for managing libvirt |
| libvisual-0_4-0 | 0.4.0-lp160.408.5 | Sound Visualization Library |
| libvisual-0_4-0 | 0.4.0-408.6 | Sound Visualization Library |
| libvisual-0_4-0 | 0.4.0-208.3 | Sound Visualization Library |
| libvisual-0_4-0 | 0.4.0-207.0.2.1.sr20240702 | Sound Visualization Library |
| libvisual-0_4-0 | 0.4.0-208.3 | Sound Visualization Library |
| libvisual-0_4-0 | 0.4.0-207.1 | Sound Visualization Library |
| libvisual-0_4-0 | 0.4.0-207.1 | Sound Visualization Library |
| libvisual-0_4-0 | 0.4.0-lp160.210.8 | Sound Visualization Library |
| libvisual-0_4-0 | 0.4.0-210.5 | Sound Visualization Library |
| libvisual-0_4-0 | 0.4.0-408.6 | Sound Visualization Library |
| libvisual-0_4-0-32bit | 0.4.0-408.6 | Sound Visualization Library |
| libvisual-0_4-0-32bit | 0.4.0-207.1 | Sound Visualization Library |
| libvisual-0_4-0-32bit | 0.4.0-207.1 | Sound Visualization Library |
| libvisual-0_4-0-32bit | 0.4.0-208.3 | Sound Visualization Library |
| libvisual-devel | 0.4.0-207.1 | Headers for the libvisual sound visualization library |
| libvisual-devel | 0.4.0-408.6 | Headers for the libvisual sound visualization library |
| libvisual-devel | 0.4.0-lp160.210.8 | Headers for the libvisual sound visualization library |
| libvisual-devel | 0.4.0-408.6 | Headers for the libvisual sound visualization library |
| libvisual-devel | 0.4.0-208.3 | Headers for the libvisual sound visualization library |
| libvisual-devel | 0.4.0-210.5 | Headers for the libvisual sound visualization library |
| libvisual-devel | 0.4.0-208.3 | Headers for the libvisual sound visualization library |
| libvisual-devel | 0.4.0-lp160.408.5 | Headers for the libvisual sound visualization library |
| libvisual-devel | 0.4.0-207.1 | Headers for the libvisual sound visualization library |
| libvisual-devel | 0.4.0-207.0.2.1.sr20240702 | Headers for the libvisual sound visualization library |
| libvlc5 | 3.0.21-bp156.2.3.1 | Shared code for the VLC media player program |
| libvlc5 | 3.0.21-bp156.2.3.1 | Shared code for the VLC media player program |
| libvlc5 | 3.0.21-bp156.2.3.1 | Shared code for the VLC media player program |
| libvlc5 | 3.0.21-bp155.2.6.1 | Shared code for the VLC media player program |
| libvlccore9 | 3.0.21-bp156.2.3.1 | Shared code for the VLC media player program |
| libvlccore9 | 3.0.21-bp155.2.6.1 | Shared code for the VLC media player program |
| libvlccore9 | 3.0.21-bp156.2.3.1 | Shared code for the VLC media player program |
| libvlccore9 | 3.0.21-bp156.2.3.1 | Shared code for the VLC media player program |
| libvorbis-devel | 1.3.7-3.2 | Include Files and Libraries mandatory for Ogg Vorbis Develop |
| libvorbis-devel | 1.3.7-3.2 | Include Files and Libraries mandatory for Ogg Vorbis Develop |
| libvorbis0 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbis0 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbis0-x86-64-v3 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbis0-x86-64-v3 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbisenc2 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbisenc2 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbisenc2-x86-64-v3 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbisenc2-x86-64-v3 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbisfile3 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbisfile3 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbisfile3-x86-64-v3 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvorbisfile3-x86-64-v3 | 1.3.7-3.2 | The Vorbis General Audio Compression Codec |
| libvulkan1 | 1.3.257-lp155.3.5 | The Vulkan 3D graphics and compute API |
| libvulkan1 | 1.3.283.0-2024.130.1 | The Vulkan 3D graphics and compute API |
| libvulkan1-32bit | 1.3.283.0-2024.130.1 | The Vulkan 3D graphics and compute API |
| libvulkan_intel | 24.0.5-2024.37.2 | Mesa vulkan driver for Intel GPU |
| libvulkan_intel | 24.0.9-2024.14.2 | Mesa vulkan driver for Intel GPU |
| libvulkan_intel-32bit | 24.0.5-2024.37.2 | Mesa vulkan driver for Intel GPU |
| libvulkan_intel-32bit | 24.0.9-2024.14.2 | Mesa vulkan driver for Intel GPU |
| libvulkan_lvp | 24.0.5-2024.37.2 | Mesa vulkan driver for LVP |
| libvulkan_lvp | 24.0.9-2024.14.2 | Mesa vulkan driver for LVP |
| libvulkan_radeon | 24.0.5-2024.37.2 | Mesa vulkan driver for AMD GPU |
| libvulkan_radeon | 24.0.9-2024.14.2 | Mesa vulkan driver for AMD GPU |
| libvulkan_radeon-32bit | 24.0.9-2024.14.2 | Mesa vulkan driver for AMD GPU |
| libvulkan_radeon-32bit | 24.0.5-2024.37.2 | Mesa vulkan driver for AMD GPU |
| libvulkan_virtio | 24.0.5-2024.37.2 | Mesa vulkan driver for virtio |
| libvulkan_virtio | 24.0.9-2024.14.2 | Mesa vulkan driver for virtio |
| libwbclient | 4.19.4-105.el9_4 | The winbind client library |
| libwbclient | 4.19.4-105.el9_4 | The winbind client library |
| libwbclient | 4.19.4-105.el9_4 | The winbind client library |
| libwbclient | 4.19.4-105.el9_4 | The winbind client library |
| libwbclient-devel | 4.19.4-105.el9_4 | Developer tools for the winbind library |
| libwbclient-devel | 4.19.4-105.el9_4 | Developer tools for the winbind library |
| libwbclient-devel | 4.19.4-105.el9_4 | Developer tools for the winbind library |
| libwbclient-devel | 4.19.4-105.el9_4 | Developer tools for the winbind library |
| libxatracker-devel | 1.0.0-2024.37.2 | Development files for the XA API |
| libxatracker-devel | 1.0.0-2024.14.2 | Development files for the XA API |
| libxatracker2 | 1.0.0-2024.37.2 | XA state tracker |
| libxatracker2 | 1.0.0-2024.14.2 | XA state tracker |
| libXfont2-2 | 2.0.6-3.1 | X font handling library for server and utilities |
| libXfont2-2 | 2.0.6-3.1 | X font handling library for server and utilities |
| libXfont2-devel | 2.0.6-3.1 | Development files for the X font handling library |
| libXfont2-devel | 2.0.6-3.1 | Development files for the X font handling library |
| libxkbfile-devel | 1.1.3-1.2 | Development files for the X11 keyboard file manipulation lib |
| libxkbfile-devel | 1.1.3-1.2 | Development files for the X11 keyboard file manipulation lib |
| libxkbfile1 | 1.1.3-1.2 | X11 keyboard file manipulation library |
| libxkbfile1 | 1.1.3-1.2 | X11 keyboard file manipulation library |
| libXpresent-devel | 1.0.1-3.1 | Development files for the Xpresent library |
| libXpresent-devel | 1.0.1-3.1 | Development files for the Xpresent library |
| libXpresent1 | 1.0.1-3.1 | An X Window System client interface to the Present extension |
| libXpresent1 | 1.0.1-3.1 | An X Window System client interface to the Present extension |
| libzfs4 | 2.2.1-lp156.1.14 | ZFS filesystem access library |
| libzfsbootenv1 | 2.2.1-lp156.1.14 | ZFS boot environment library |
| libzfs_core3 | 2.2.1-lp156.1.14 | ZFS filesystem access library |
| libzpool5 | 2.2.1-lp156.1.14 | Zpool interface |
| lingot | 1.1.1-lp156.5.1 | Is Not a Guitar-Only Tuner |
| lingot-devel | 1.1.1-lp156.5.1 | Is Not a Guitar-Only Tuner |
| lingot-lang | 1.1.1-lp156.5.1 | Translations for package lingot |
| lldpd-formula | 2.2.1-1.1 | Salt states for managing lldpd |
| lldpd-formula | 2.2.1-lp155.1.1 | Salt states for managing lldpd |
| lldpd-formula | 2.2.1-lp156.1.1 | Salt states for managing lldpd |
| lock-formula | 2.2.1-1.1 | Salt state module for managing lockfiles |
| lock-formula | 2.2.1-lp155.1.1 | Salt state module for managing lockfiles |
| lock-formula | 2.2.1-lp156.1.1 | Salt state module for managing lockfiles |
| lua-penlight-doc | 1.14.0-21.1 | Documentation for lua-penlight |
| lua-penlight-doc | 1.14.0-lp156.21.1 | Documentation for lua-penlight |
| lua-penlight-doc | 1.14.0-lp155.21.1 | Documentation for lua-penlight |
| lua-penlight-doc | 1.14.0-lp155.21.1 | Documentation for lua-penlight |
| lua51-luv | 1.45.0~0-lp156.52.2 | Bare libuv bindings for lua |
| lua51-luv | 1.45.0~0-lp156.51.2 | Bare libuv bindings for lua |
| lua51-luv | 1.45.0~0-lp155.51.1 | Bare libuv bindings for lua |
| lua51-penlight | 1.14.0-lp155.21.1 | Generally useful modules inspired by the Python standard lib |
| lua51-penlight | 1.14.0-lp156.21.1 | Generally useful modules inspired by the Python standard lib |
| lua51-penlight | 1.14.0-21.1 | Generally useful modules inspired by the Python standard lib |
| lua53-luv | 1.45.0~0-lp155.51.1 | Bare libuv bindings for lua |
| lua53-penlight | 1.14.0-lp155.21.1 | Generally useful modules inspired by the Python standard lib |
| lua53-penlight | 1.14.0-lp155.21.1 | Generally useful modules inspired by the Python standard lib |
| lua53-penlight | 1.14.0-21.1 | Generally useful modules inspired by the Python standard lib |
| lua53-penlight | 1.14.0-lp156.21.1 | Generally useful modules inspired by the Python standard lib |
| lua54-busted | 2.0.0-24.5 | Unit testing framework with a focus on being easy to use |
| lua54-fluent | 0.2.0-6.15 | Lua implementation of Project Fluent |
| lua54-inspect | 3.1.3-3.14 | Library for printing Lua values |
| lua54-lpeg_patterns | 0.5-6.11 | Collection of LPEG patterns |
| lua54-penlight | 1.14.0-21.1 | Generally useful modules inspired by the Python standard lib |
| lua54-shell-games | 1.1.0-7.14 | Lua library to help execute shell commands |
| lunmap-formula | 2.2.1-1.1 | Salt states for managing lunmap |
| lunmap-formula | 2.2.1-lp156.1.1 | Salt states for managing lunmap |
| lunmap-formula | 2.2.1-lp155.1.1 | Salt states for managing lunmap |
| lxqt-themes | 2.0.0-lp155.26.1 | Themes, graphics and icons for LXQt |
| lxqt2-build-tools-devel | 2.0.0-lp155.3.1 | Tools for building lxqt |
| m2300w | 0.51-2024gos20.23.6 | Konica Minolta magicolor 2300W and 2400W Printer Driver |
| mailman | 2.1.39-lp156.1.1 | The GNU Mailing List Manager |
| maven-surefire-provider-junit5 | 3.2.5-slfo.1.2.1 | JUnit 5 provider for Maven Surefire |
| maven-surefire-provider-junit5-javadoc | 3.2.5-slfo.1.2.1 | Javadoc for maven-surefire-provider-junit5 |
| merkaartor | 0.19.0-lp156.39.1 | OpenStreetMap editor focused on good desktop integration |
| Mesa | 24.0.5-2024.37.2 | System for rendering 3-D graphics |
| Mesa | 24.0.9-2024.14.2 | System for rendering 3-D graphics |
| Mesa-32bit | 24.0.9-2024.14.2 | System for rendering 3-D graphics |
| Mesa-32bit | 24.0.5-2024.37.2 | System for rendering 3-D graphics |
| Mesa-demo | 9.0.0-2024.88.1 | Mesa demo programs for the OpenGL stack |
| Mesa-demo-egl | 9.0.0-2024.88.1 | egl-based demos |
| Mesa-demo-egl-32bit | 9.0.0-2024.88.1 | egl-based demos |
| Mesa-demo-es | 9.0.0-2024.88.1 | GLES-based demos |
| Mesa-demo-es-32bit | 9.0.0-2024.88.1 | GLES-based demos |
| Mesa-demo-x | 9.0.0-2024.88.1 | GLX-based demos |
| Mesa-demo-x-32bit | 9.0.0-2024.88.1 | GLX-based demos |
| Mesa-devel | 24.0.5-2024.37.2 | Libraries, includes and more to develop Mesa applications |
| Mesa-devel | 24.0.9-2024.14.2 | Libraries, includes and more to develop Mesa applications |
| Mesa-dri | 24.0.5-2024.37.2 | DRI plug-ins for 3D acceleration |
| Mesa-dri | 24.0.9-2024.14.2 | DRI plug-ins for 3D acceleration |
| Mesa-dri-32bit | 24.0.5-2024.37.2 | DRI plug-ins for 3D acceleration |
| Mesa-dri-32bit | 24.0.9-2024.14.2 | DRI plug-ins for 3D acceleration |
| Mesa-dri-devel | 24.0.5-2024.37.2 | Development files for the DRI API |
| Mesa-dri-devel | 24.0.9-2024.14.2 | Development files for the DRI API |
| Mesa-dri-nouveau | 24.0.5-2024.37.2 | Mesa DRI plug-in for 3D acceleration via Nouveau |
| Mesa-dri-nouveau | 24.0.9-2024.14.2 | Mesa DRI plug-in for 3D acceleration via Nouveau |
| Mesa-dri-nouveau-32bit | 24.0.5-2024.37.2 | Mesa DRI plug-in for 3D acceleration via Nouveau |
| Mesa-dri-nouveau-32bit | 24.0.9-2024.14.2 | Mesa DRI plug-in for 3D acceleration via Nouveau |
| Mesa-gallium | 24.0.9-2024.14.2 | Mesa Gallium GPU drivers |
| Mesa-gallium | 24.0.5-2024.37.2 | Mesa Gallium GPU drivers |
| Mesa-gallium-32bit | 24.0.5-2024.37.2 | Mesa Gallium GPU drivers |
| Mesa-gallium-32bit | 24.0.9-2024.14.2 | Mesa Gallium GPU drivers |
| Mesa-KHR-devel | 24.0.9-2024.14.2 | Mesa Khronos development headers |
| Mesa-KHR-devel | 24.0.5-2024.37.2 | Mesa Khronos development headers |
| Mesa-libd3d | 24.0.9-2024.14.2 | Mesa Direct3D9 state tracker |
| Mesa-libd3d | 24.0.5-2024.37.2 | Mesa Direct3D9 state tracker |
| Mesa-libd3d-32bit | 24.0.9-2024.14.2 | Mesa Direct3D9 state tracker |
| Mesa-libd3d-32bit | 24.0.5-2024.37.2 | Mesa Direct3D9 state tracker |
| Mesa-libd3d-devel | 24.0.9-2024.14.2 | Mesa Direct3D9 state tracker development package |
| Mesa-libd3d-devel | 24.0.5-2024.37.2 | Mesa Direct3D9 state tracker development package |
| Mesa-libd3d-devel-32bit | 24.0.5-2024.37.2 | Mesa Direct3D9 state tracker development package |
| Mesa-libd3d-devel-32bit | 24.0.9-2024.14.2 | Mesa Direct3D9 state tracker development package |
| Mesa-libEGL-devel | 24.0.9-2024.14.2 | Development files for the EGL API |
| Mesa-libEGL-devel | 24.0.5-2024.37.2 | Development files for the EGL API |
| Mesa-libEGL-devel-32bit | 24.0.9-2024.14.2 | Development files for the EGL API |
| Mesa-libEGL-devel-32bit | 24.0.5-2024.37.2 | Development files for the EGL API |
| Mesa-libEGL1 | 24.0.9-2024.14.2 | EGL API implementation |
| Mesa-libEGL1 | 24.0.5-2024.37.2 | EGL API implementation |
| Mesa-libEGL1-32bit | 24.0.9-2024.14.2 | EGL API implementation |
| Mesa-libEGL1-32bit | 24.0.5-2024.37.2 | EGL API implementation |
| Mesa-libGL-devel | 24.0.9-2024.14.2 | GL/GLX development files of the OpenGL API |
| Mesa-libGL-devel | 24.0.5-2024.37.2 | GL/GLX development files of the OpenGL API |
| Mesa-libGL-devel-32bit | 24.0.5-2024.37.2 | GL/GLX development files of the OpenGL API |
| Mesa-libGL-devel-32bit | 24.0.9-2024.14.2 | GL/GLX development files of the OpenGL API |
| Mesa-libGL1 | 24.0.9-2024.14.2 | The GL/GLX runtime of the Mesa 3D graphics library |
| Mesa-libGL1 | 24.0.5-2024.37.2 | The GL/GLX runtime of the Mesa 3D graphics library |
| Mesa-libGL1-32bit | 24.0.5-2024.37.2 | The GL/GLX runtime of the Mesa 3D graphics library |
| Mesa-libGL1-32bit | 24.0.9-2024.14.2 | The GL/GLX runtime of the Mesa 3D graphics library |
| Mesa-libglapi-devel | 24.0.5-2024.37.2 | Development files for the Mesa GL API implementation |
| Mesa-libglapi-devel | 24.0.9-2024.14.2 | Development files for the Mesa GL API implementation |
| Mesa-libglapi-devel-32bit | 24.0.5-2024.37.2 | Development files for the Mesa GL API implementation |
| Mesa-libglapi-devel-32bit | 24.0.9-2024.14.2 | Development files for the Mesa GL API implementation |
| Mesa-libglapi0 | 24.0.5-2024.37.2 | Free implementation of the GL API |
| Mesa-libglapi0 | 24.0.9-2024.14.2 | Free implementation of the GL API |
| Mesa-libglapi0-32bit | 24.0.5-2024.37.2 | Free implementation of the GL API |
| Mesa-libglapi0-32bit | 24.0.9-2024.14.2 | Free implementation of the GL API |
| Mesa-libGLESv1_CM-devel | 24.0.5-2024.37.2 | Development files for the OpenGL ES 1.x API |
| Mesa-libGLESv1_CM-devel | 24.0.9-2024.14.2 | Development files for the OpenGL ES 1.x API |
| Mesa-libGLESv1_CM-devel-32bit | 24.0.5-2024.37.2 | Development files for the OpenGL ES 1.x API |
| Mesa-libGLESv1_CM-devel-32bit | 24.0.9-2024.14.2 | Development files for the OpenGL ES 1.x API |
| Mesa-libGLESv2-devel | 24.0.9-2024.14.2 | Development files for the OpenGL ES 2.x API |
| Mesa-libGLESv2-devel | 24.0.5-2024.37.2 | Development files for the OpenGL ES 2.x API |
| Mesa-libGLESv2-devel-32bit | 24.0.5-2024.37.2 | Development files for the OpenGL ES 2.x API |
| Mesa-libGLESv2-devel-32bit | 24.0.9-2024.14.2 | Development files for the OpenGL ES 2.x API |
| Mesa-libGLESv3-devel | 24.0.9-2024.14.2 | Development files for the OpenGL ES 3.x API |
| Mesa-libGLESv3-devel | 24.0.5-2024.37.2 | Development files for the OpenGL ES 3.x API |
| Mesa-libOpenCL | 24.0.5-2024.37.2 | Mesa OpenCL implementation (Clover) |
| Mesa-libOpenCL | 24.0.9-2024.14.2 | Mesa OpenCL implementation (Clover) |
| Mesa-libva | 24.0.5-2024.37.2 | Mesa VA-API implementation |
| Mesa-libva | 24.0.9-2024.14.2 | Mesa VA-API implementation |
| Mesa-vulkan-device-select | 24.0.9-2024.14.2 | Vulkan layer to select Vulkan devices provided by Mesa |
| Mesa-vulkan-device-select | 24.0.5-2024.37.2 | Vulkan layer to select Vulkan devices provided by Mesa |
| Mesa-vulkan-device-select-32bit | 24.0.5-2024.37.2 | Vulkan layer to select Vulkan devices provided by Mesa |
| Mesa-vulkan-device-select-32bit | 24.0.9-2024.14.2 | Vulkan layer to select Vulkan devices provided by Mesa |
| Mesa-vulkan-overlay | 24.0.5-2024.37.2 | Mesa Vulkan Overlay layer |
| Mesa-vulkan-overlay | 24.0.9-2024.14.2 | Mesa Vulkan Overlay layer |
| Mesa-vulkan-overlay-32bit | 24.0.9-2024.14.2 | Mesa Vulkan Overlay layer |
| Mesa-vulkan-overlay-32bit | 24.0.5-2024.37.2 | Mesa Vulkan Overlay layer |
| mintstick | 1.6.1-lp155.21.1 | Write .img and .iso files to USB sticks |
| mintstick | 1.6.1-lp154.21.1 | Write .img and .iso files to USB sticks |
| momareports | 0.1-1.9 | Test for MVC capability in mono |
| monitoring-plugins-bind9 | 1.0.0-lp155.112.1 | BIND9 Monitoring Plugin |
| monitoring-plugins-dns.pl | 1.0.0-lp155.112.1 | Monitor a DNS server |
| mono-core | 6.12.0-10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-lp154.10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-lp153.10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-lp155.10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-9.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-lp154.10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-lp156.10.1 | Cross-platform, Open Source, .NET development framework |
| mono-core | 6.12.0-lp155.10.1 | Cross-platform, Open Source, .NET development framework |
| mono-data | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-lp153.10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-lp155.10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-lp155.10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-lp154.10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-9.1 | Database connectivity for Mono |
| mono-data | 6.12.0-lp154.10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-lp156.10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-lp153.10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-lp154.10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-9.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-lp156.10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-lp155.10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-lp155.10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-oracle | 6.12.0-lp154.10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-lp155.10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-lp154.10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-lp155.10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-lp153.10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-lp156.10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-lp154.10.1 | Database connectivity for Mono |
| mono-data-sqlite | 6.12.0-9.1 | Database connectivity for Mono |
| mono-devel | 6.12.0-9.1 | Mono development tools |
| mono-devel | 6.12.0-10.1 | Mono development tools |
| mono-devel | 6.12.0-lp155.10.1 | Mono development tools |
| mono-devel | 6.12.0-10.1 | Mono development tools |
| mono-devel | 6.12.0-lp156.10.1 | Mono development tools |
| mono-devel | 6.12.0-lp153.10.1 | Mono development tools |
| mono-devel | 6.12.0-10.1 | Mono development tools |
| mono-devel | 6.12.0-lp154.10.1 | Mono development tools |
| mono-devel | 6.12.0-10.1 | Mono development tools |
| mono-devel | 6.12.0-10.1 | Mono development tools |
| mono-devel | 6.12.0-lp154.10.1 | Mono development tools |
| mono-devel | 6.12.0-10.1 | Mono development tools |
| mono-devel | 6.12.0-lp155.10.1 | Mono development tools |
| mono-devel | 6.12.0-10.1 | Mono development tools |
| mono-extras | 6.12.0-10.1 | Extra packages |
| mono-extras | 6.12.0-10.1 | Extra packages |
| mono-extras | 6.12.0-10.1 | Extra packages |
| mono-extras | 6.12.0-10.1 | Extra packages |
| mono-extras | 6.12.0-lp155.10.1 | Extra packages |
| mono-extras | 6.12.0-10.1 | Extra packages |
| mono-extras | 6.12.0-lp156.10.1 | Extra packages |
| mono-extras | 6.12.0-lp155.10.1 | Extra packages |
| mono-extras | 6.12.0-9.1 | Extra packages |
| mono-extras | 6.12.0-10.1 | Extra packages |
| mono-extras | 6.12.0-lp153.10.1 | Extra packages |
| mono-extras | 6.12.0-lp154.10.1 | Extra packages |
| mono-extras | 6.12.0-10.1 | Extra packages |
| mono-extras | 6.12.0-lp154.10.1 | Extra packages |
| mono-fuse | 0.4.2-1.9 | Mono.Fuse is a binding for the FUSE library |
| mono-fuse-devel | 0.4.2-1.9 | Development files for Mono.Fuse |
| mono-locale-extras | 6.12.0-10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-lp153.10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-lp156.10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-lp155.10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-lp154.10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-lp155.10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-lp154.10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-9.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-10.1 | Extra Locale information |
| mono-locale-extras | 6.12.0-10.1 | Extra Locale information |
| mono-mvc | 6.12.0-10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-lp153.10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-lp154.10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-lp155.10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-lp155.10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-lp154.10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-lp156.10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-10.1 | Mono implementation of ASP |
| mono-mvc | 6.12.0-9.1 | Mono implementation of ASP |
| mono-nuget | 2.8.7-10.9 | DotNet package manager |
| mono-nuget | 2.8.7-10.3 | DotNet package manager |
| mono-nuget-devel | 2.8.7-10.3 | Development files for NuGet |
| mono-nuget-devel | 2.8.7-10.9 | Development files for NuGet |
| mono-reactive | 6.12.0-9.1 | Reactive Extensions |
| mono-reactive | 6.12.0-10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-lp156.10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-lp153.10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-lp155.10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-lp154.10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-lp154.10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-10.1 | Reactive Extensions |
| mono-reactive | 6.12.0-lp155.10.1 | Reactive Extensions |
| mono-wcf | 6.12.0-lp156.10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-lp154.10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-9.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-lp155.10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-lp154.10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-lp153.10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-lp155.10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-wcf | 6.12.0-10.1 | Mono implementation of WCF, Windows Communication Foundation |
| mono-web | 6.12.0-9.1 | Mono implementation of ASP |
| mono-web | 6.12.0-10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-lp154.10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-lp154.10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-lp155.10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-lp155.10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-lp156.10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-10.1 | Mono implementation of ASP |
| mono-web | 6.12.0-lp153.10.1 | Mono implementation of ASP |
| mono-winforms | 6.12.0-lp153.10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-lp155.10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-9.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-lp155.10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-lp156.10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-lp154.10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-lp154.10.1 | Mono\'s Windows Forms implementation |
| mono-winforms | 6.12.0-10.1 | Mono\'s Windows Forms implementation |
| mono-winfxcore | 6.12.0-lp156.10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-lp154.10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-lp153.10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-lp154.10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-lp155.10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-lp155.10.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-9.1 | Mono implementation of core WinFX APIs |
| mono-winfxcore | 6.12.0-10.1 | Mono implementation of core WinFX APIs |
| monodoc-core | 6.12.0-lp155.10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-lp154.10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-lp155.10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-lp154.10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-lp156.10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-10.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-9.1 | Monodoc - Documentation tools for C# code |
| monodoc-core | 6.12.0-lp153.10.1 | Monodoc - Documentation tools for C# code |
| mousam | 1.3.1-2.2 | A lightweight weather app |
| mousam | 1.3.1-2.3 | A lightweight weather app |
| mousam-lang | 1.3.1-2.3 | Translations for package mousam |
| mousam-lang | 1.3.1-2.2 | Translations for package mousam |
| msbuild | 16.6-1.33 | Microsoft Build Engine (MSbuild) for Mono |
| msbuild-sdkresolver | 16.6-1.33 | Managed portion of helper library for msbuild for .NET Core |
| mtail-formula | 2.2.1-1.1 | Salt states for managing mtail |
| mtail-formula | 2.2.1-lp156.1.1 | Salt states for managing mtail |
| mtail-formula | 2.2.1-lp155.1.1 | Salt states for managing mtail |
| multichain-utils | 2.3-lp156.1.6 | Utils for the MultiChain crypto-currency |
| multichain-utils | 2.2.0b3-lp156.1.5 | Utils for the MultiChain crypto-currency |
| multichaind | 2.3-lp156.1.6 | Headless daemon for multichain crypto-currency |
| multichaind | 2.2.0b3-lp156.1.5 | Headless daemon for multichain crypto-currency |
| multipath-formula | 2.2.1-lp156.1.1 | Salt states for managing multipath |
| multipath-formula | 2.2.1-1.1 | Salt states for managing multipath |
| multipath-formula | 2.2.1-lp155.1.1 | Salt states for managing multipath |
| mvc-template-test | 0.1-1.9 | Test for MVC capability in mono |
| navi | 2.19.0-lp154.6.30 | Interactive cheatsheet tool for the command-line |
| ncdc | 1.20-1699.1.pm.227 | Lightweight Direct Connect Client |
| ncdc-debuginfo | 1.20-1699.1.pm.227 | Debug information for package ncdc |
| ncdc-debugsource | 1.20-1699.1.pm.227 | Debug sources for package ncdc |
| network-formula | 2.2.1-1.1 | Salt states for managing the network |
| network-formula | 2.2.1-lp156.1.1 | Salt states for managing the network |
| network-formula | 2.2.1-lp155.1.1 | Salt states for managing the network |
| nodejs22 | 22.3.0-1.81 | Evented I/O for V8 JavaScript |
| nodejs22 | 22.3.0-1.25 | Evented I/O for V8 JavaScript |
| nodejs22 | 22.3.0-1.1 | Evented I/O for V8 JavaScript |
| nodejs22 | 22.3.0-2.22 | Evented I/O for V8 JavaScript |
| nodejs22 | 22.3.0-1.81 | Evented I/O for V8 JavaScript |
| nodejs22 | 22.3.0-1.1 | Evented I/O for V8 JavaScript |
| nodejs22 | 22.3.0-1.25 | Evented I/O for V8 JavaScript |
| nodejs22 | 22.3.0-1.8 | Evented I/O for V8 JavaScript |
| nodejs22 | 22.3.0-2.22 | Evented I/O for V8 JavaScript |
| nodejs22 | 22.3.0-1.8 | Evented I/O for V8 JavaScript |
| nodejs22 | 22.3.0-1.1 | Evented I/O for V8 JavaScript |
| nodejs22-devel | 22.3.0-1.1 | Development headers for NodeJS 22.x |
| nodejs22-devel | 22.3.0-1.25 | Development headers for NodeJS 22.x |
| nodejs22-devel | 22.3.0-1.81 | Development headers for NodeJS 22.x |
| nodejs22-devel | 22.3.0-2.22 | Development headers for NodeJS 22.x |
| nodejs22-devel | 22.3.0-1.25 | Development headers for NodeJS 22.x |
| nodejs22-devel | 22.3.0-1.1 | Development headers for NodeJS 22.x |
| nodejs22-devel | 22.3.0-1.8 | Development headers for NodeJS 22.x |
| nodejs22-devel | 22.3.0-1.1 | Development headers for NodeJS 22.x |
| nodejs22-devel | 22.3.0-1.8 | Development headers for NodeJS 22.x |
| nodejs22-devel | 22.3.0-1.81 | Development headers for NodeJS 22.x |
| nodejs22-devel | 22.3.0-2.22 | Development headers for NodeJS 22.x |
| nodejs22-docs | 22.3.0-1.45 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.1 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.25 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.1 | Node.js API documentation |
| nodejs22-docs | 22.3.0-2.22 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.41 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.15 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.7 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.81 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.15 | Node.js API documentation |
| nodejs22-docs | 22.3.0-4.1 | Node.js API documentation |
| nodejs22-docs | 22.3.0-4.1 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.14 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.8 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.52 | Node.js API documentation |
| nodejs22-docs | 22.3.0-1.1 | Node.js API documentation |
| npm22 | 22.3.0-2.22 | Package manager for Node.js |
| npm22 | 22.3.0-1.25 | Package manager for Node.js |
| npm22 | 22.3.0-1.8 | Package manager for Node.js |
| npm22 | 22.3.0-2.22 | Package manager for Node.js |
| npm22 | 22.3.0-1.1 | Package manager for Node.js |
| npm22 | 22.3.0-1.25 | Package manager for Node.js |
| npm22 | 22.3.0-1.1 | Package manager for Node.js |
| npm22 | 22.3.0-1.81 | Package manager for Node.js |
| npm22 | 22.3.0-1.81 | Package manager for Node.js |
| npm22 | 22.3.0-1.1 | Package manager for Node.js |
| npm22 | 22.3.0-1.8 | Package manager for Node.js |
| ntfs-3g | 2022.10.3-lp151.7.1 | NTFS Support in Userspace |
| ntfs-3g | 2022.10.3-lp152.7.1 | NTFS Support in Userspace |
| ntfsprogs | 2022.10.3-lp152.7.1 | NTFS Utilities |
| ntfsprogs | 2022.10.3-lp151.7.1 | NTFS Utilities |
| ntfsprogs-extra | 2022.10.3-lp152.7.1 | NTFS Utilities which can damage your filesystem such that Wi |
| ntfsprogs-extra | 2022.10.3-lp151.7.1 | NTFS Utilities which can damage your filesystem such that Wi |
| nunit3 | 3.7.1-6.2 | Unit-testing framework for all .NET languages |
| nunit3 | 3.7.1-6.2 | Unit-testing framework for all .NET languages |
| nunit3-devel | 3.7.1-6.2 | Development files for nunit |
| nunit3-devel | 3.7.1-6.2 | Development files for nunit |
| obs-service-appimage | 0.10.43-346.1 | Handles source downloads defined in appimage.yml files |
| obs-service-appimage | 0.10.43-2.1 | Handles source downloads defined in appimage.yml files |
| obs-service-appimage | 0.10.43-346.1 | Handles source downloads defined in appimage.yml files |
| obs-service-appimage | 0.10.43-346.1 | Handles source downloads defined in appimage.yml files |
| obs-service-appimage | 0.10.43-2.1 | Handles source downloads defined in appimage.yml files |
| obs-service-appimage | 0.10.43-346.1 | Handles source downloads defined in appimage.yml files |
| obs-service-appimage | 0.10.43-344.1 | Handles source downloads defined in appimage.yml files |
| obs-service-appimage | 0.10.43-346.1 | Handles source downloads defined in appimage.yml files |
| obs-service-gbp | 0.10.43-346.1 | Creates Debian source artefacts from a Git repository |
| obs-service-gbp | 0.10.43-346.1 | Creates Debian source artefacts from a Git repository |
| obs-service-gbp | 0.10.43-346.1 | Creates Debian source artefacts from a Git repository |
| obs-service-gbp | 0.10.43-346.1 | Creates Debian source artefacts from a Git repository |
| obs-service-gbp | 0.10.43-346.1 | Creates Debian source artefacts from a Git repository |
| obs-service-gbp | 0.10.43-344.1 | Creates Debian source artefacts from a Git repository |
| obs-service-obs_scm | 0.10.43-346.1 | Creates a OBS cpio from a remote SCM resource |
| obs-service-obs_scm | 0.10.43-346.1 | Creates a OBS cpio from a remote SCM resource |
| obs-service-obs_scm | 0.10.43-346.1 | Creates a OBS cpio from a remote SCM resource |
| obs-service-obs_scm | 0.10.43-346.1 | Creates a OBS cpio from a remote SCM resource |
| obs-service-obs_scm | 0.10.43-346.1 | Creates a OBS cpio from a remote SCM resource |
| obs-service-obs_scm | 0.10.43-344.1 | Creates a OBS cpio from a remote SCM resource |
| obs-service-obs_scm | 0.10.43-2.1 | Creates a OBS cpio from a remote SCM resource |
| obs-service-obs_scm | 0.10.43-2.1 | Creates a OBS cpio from a remote SCM resource |
| obs-service-obs_scm-common | 0.10.43-346.1 | Common parts of SCM handling services |
| obs-service-obs_scm-common | 0.10.43-344.1 | Common parts of SCM handling services |
| obs-service-obs_scm-common | 0.10.43-346.1 | Common parts of SCM handling services |
| obs-service-obs_scm-common | 0.10.43-346.1 | Common parts of SCM handling services |
| obs-service-obs_scm-common | 0.10.43-2.1 | Common parts of SCM handling services |
| obs-service-obs_scm-common | 0.10.43-346.1 | Common parts of SCM handling services |
| obs-service-obs_scm-common | 0.10.43-346.1 | Common parts of SCM handling services |
| obs-service-obs_scm-common | 0.10.43-2.1 | Common parts of SCM handling services |
| obs-service-replace_using_package_version | 0.0.9-2.1 | An OBS service: Replaces a regex with the version value of |
| obs-service-replace_using_package_version | 0.0.9-2.1 | An OBS service: Replaces a regex with the version value of |
| obs-service-replace_using_package_version | 0.0.9-26.2 | An OBS service: Replaces a regex with the version value of |
| obs-service-replace_using_package_version | 0.0.9-2.1 | An OBS service: Replaces a regex with the version value of |
| obs-service-replace_using_package_version | 0.0.9-26.2 | An OBS service: Replaces a regex with the version value of |
| obs-service-replace_using_package_version | 0.0.9-2.1 | An OBS service: Replaces a regex with the version value of |
| obs-service-replace_using_package_version | 0.0.9-3.1 | An OBS service: Replaces a regex with the version value of |
| obs-service-replace_using_package_version | 0.0.9-2.1 | An OBS service: Replaces a regex with the version value of |
| obs-service-snapcraft | 0.10.43-2.1 | Handles source downloads defined in snapcraft.yaml files |
| obs-service-snapcraft | 0.10.43-346.1 | Handles source downloads defined in snapcraft.yaml files |
| obs-service-snapcraft | 0.10.43-346.1 | Handles source downloads defined in snapcraft.yaml files |
| obs-service-snapcraft | 0.10.43-344.1 | Handles source downloads defined in snapcraft.yaml files |
| obs-service-snapcraft | 0.10.43-2.1 | Handles source downloads defined in snapcraft.yaml files |
| obs-service-snapcraft | 0.10.43-346.1 | Handles source downloads defined in snapcraft.yaml files |
| obs-service-snapcraft | 0.10.43-346.1 | Handles source downloads defined in snapcraft.yaml files |
| obs-service-snapcraft | 0.10.43-346.1 | Handles source downloads defined in snapcraft.yaml files |
| obs-service-tar | 0.10.43-346.1 | Creates a tar archive from local directory |
| obs-service-tar | 0.10.43-344.1 | Creates a tar archive from local directory |
| obs-service-tar | 0.10.43-346.1 | Creates a tar archive from local directory |
| obs-service-tar | 0.10.43-346.1 | Creates a tar archive from local directory |
| obs-service-tar | 0.10.43-346.1 | Creates a tar archive from local directory |
| obs-service-tar | 0.10.43-346.1 | Creates a tar archive from local directory |
| obs-service-tar | 0.10.43-2.1 | Creates a tar archive from local directory |
| obs-service-tar | 0.10.43-2.1 | Creates a tar archive from local directory |
| obs-service-tar_scm | 0.10.43-344.1 | An OBS source service: create tar ball from svn/git/hg |
| obs-service-tar_scm | 0.10.43-346.1 | An OBS source service: create tar ball from svn/git/hg |
| obs-service-tar_scm | 0.10.43-2.1 | An OBS source service: create tar ball from svn/git/hg |
| obs-service-tar_scm | 0.10.43-2.1 | An OBS source service: create tar ball from svn/git/hg |
| obs-service-tar_scm | 0.10.43-346.1 | An OBS source service: create tar ball from svn/git/hg |
| obs-service-tar_scm | 0.10.43-346.1 | An OBS source service: create tar ball from svn/git/hg |
| obs-service-tar_scm | 0.10.43-346.1 | An OBS source service: create tar ball from svn/git/hg |
| obs-service-tar_scm | 0.10.43-346.1 | An OBS source service: create tar ball from svn/git/hg |
| open-nat | 2.0.13-2.2 | A .NET library for automatic port forwarding using either uP |
| open-nat | 2.0.13-2.2 | A .NET library for automatic port forwarding using either uP |
| openafs | 1.8.11.g20240530-1.4 | OpenAFS Distributed File System |
| openafs | 1.8.11.g20240530-1.5 | OpenAFS Distributed File System |
| openafs-authlibs | 1.8.11.g20240530-1.5 | OpenAFS authentication shared libraries |
| openafs-authlibs | 1.8.11.g20240530-1.4 | OpenAFS authentication shared libraries |
| openafs-authlibs-devel | 1.8.11.g20240530-1.4 | OpenAFS shared library development |
| openafs-authlibs-devel | 1.8.11.g20240530-1.5 | OpenAFS shared library development |
| openafs-client | 1.8.11.g20240530-1.4 | OpenAFS File System Client |
| openafs-client | 1.8.11.g20240530-1.5 | OpenAFS File System Client |
| openafs-devel | 1.8.11.g20240530-1.4 | OpenAFS Static Libraries and Header Files |
| openafs-devel | 1.8.11.g20240530-1.5 | OpenAFS Static Libraries and Header Files |
| openafs-fuse_client | 1.8.11.g20240530-1.4 | OpenAFS FUSE File System Client |
| openafs-fuse_client | 1.8.11.g20240530-1.5 | OpenAFS FUSE File System Client |
| openafs-kernel-source | 1.8.11.g20240530-1.4 | OpenAFS Kernel Module source tree |
| openafs-kernel-source | 1.8.11.g20240530-1.5 | OpenAFS Kernel Module source tree |
| openafs-kmp-default | 1.8.11.g20240530_k6.9.9_1-1.5 | OpenAFS Distributed File System - kernel module |
| openafs-kmp-default | 1.8.11.g20240530_k6.9.7_1-1.4 | OpenAFS Distributed File System - kernel module |
| openafs-server | 1.8.11.g20240530-1.4 | OpenAFS File System Server |
| openafs-server | 1.8.11.g20240530-1.5 | OpenAFS File System Server |
| openbor | 3.0.6391-lp155.15.5 | Moddable fighting game engine (aka Beats of Rage) |
| openhtj2k | 0.2.7-1.6 | An open source implementation of ITU-T Rec.814 | ISO 15444-1 |
| openhtj2k | 0.2.7-1.5 | An open source implementation of ITU-T Rec.814 | ISO 15444-1 |
| openhtj2k | 0.2.7-1.5 | An open source implementation of ITU-T Rec.814 | ISO 15444-1 |
| openhtj2k | 0.2.7-1.9 | An open source implementation of ITU-T Rec.814 | ISO 15444-1 |
| openhtj2k | 0.2.7-1.6 | An open source implementation of ITU-T Rec.814 | ISO 15444-1 |
| openhtj2k | 0.2.7-1.9 | An open source implementation of ITU-T Rec.814 | ISO 15444-1 |
| openhtj2k-devel | 0.2.7-1.5 | Development files for openhtj2k |
| openhtj2k-devel | 0.2.7-1.6 | Development files for openhtj2k |
| openhtj2k-devel | 0.2.7-1.6 | Development files for openhtj2k |
| openhtj2k-devel | 0.2.7-1.9 | Development files for openhtj2k |
| openhtj2k-devel | 0.2.7-1.9 | Development files for openhtj2k |
| openhtj2k-devel | 0.2.7-1.5 | Development files for openhtj2k |
| OpenImageDenoise | 2.2.2-lp156.16.1 | Open Image Denoise library |
| OpenImageDenoise-devel | 2.2.2-lp156.16.1 | Development files for OpenImageDenoise |
| openQA | 4.6.1718367832.0df2271f-6823.1 | The openQA web-frontend, scheduler and tools |
| openQA-auto-update | 4.6.1718367832.0df2271f-6823.1 | Automatically upgrade and reboot the system when required |
| openQA-bootstrap | 4.6.1718367832.0df2271f-6823.1 | Automated openQA setup |
| openQA-client | 4.6.1718367832.0df2271f-6823.1 | Client tools for remote openQA management |
| openQA-common | 4.6.1718367832.0df2271f-6823.1 | The openQA common tools for web-frontend and workers |
| openQA-continuous-update | 4.6.1718367832.0df2271f-6823.1 | Continuously update packages from devel:openQA |
| openQA-doc | 4.6.1718367832.0df2271f-6823.1 | The openQA documentation |
| openQA-local-db | 4.6.1718367832.0df2271f-6823.1 | Helper package to ease setup of postgresql DB |
| openQA-munin | 4.6.1718367832.0df2271f-6823.1 | Munin scripts |
| openQA-python-scripts | 4.6.1718367832.0df2271f-6823.1 | Additional scripts in python |
| openQA-worker | 4.6.1718367832.0df2271f-6823.1 | The openQA worker |
| openra-eluant | 20160124-1.37 | Lua C# bindings |
| opentyrian2000 | 2000.20200917-lp155.9.6 | An arcade-style vertical scrolling shooter |
| openvpn | 2.6.10-lp155.237.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp155.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp154.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp156.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-ill.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-ill15500.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp155.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-ill15400.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp154.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp155.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-150600.237.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp154.237.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp154.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp155.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp156.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp155.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp153.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp155.237.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp156.237.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn | 2.6.10-lp154.238.1 | Full-featured SSL VPN solution using a TUN/TAP Interface |
| openvpn-auth-pam-plugin | 2.6.10-ill15400.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp154.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-ill15500.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp155.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp154.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp154.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp155.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-ill.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp155.237.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-150600.237.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp156.237.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp155.237.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp155.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp154.237.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp155.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp156.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp156.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp153.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp154.238.1 | OpenVPN auth-pam plugin |
| openvpn-auth-pam-plugin | 2.6.10-lp155.238.1 | OpenVPN auth-pam plugin |
| openvpn-devel | 2.6.10-lp154.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp156.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp155.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp154.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp155.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp154.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp156.237.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp155.237.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp156.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp155.237.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp154.237.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp155.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-ill15400.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp155.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-ill15500.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-150600.237.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-ill.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp155.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp154.238.1 | OpenVPN plugin header |
| openvpn-devel | 2.6.10-lp153.238.1 | OpenVPN plugin header |
| openvpn-down-root-plugin | 2.6.10-lp154.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-ill15400.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-150600.237.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp155.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp156.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp156.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp155.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp155.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp156.237.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp155.237.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp155.237.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp154.237.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-ill15500.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp154.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp154.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp155.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp154.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-ill.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp153.238.1 | OpenVPN down-root plugin |
| openvpn-down-root-plugin | 2.6.10-lp155.238.1 | OpenVPN down-root plugin |
| oqs-provider | 0.6.0-slfo.1.1.1 | Quantum-safe crypto provider for OpenSSL |
| orbitcoin-doc | 1.6.3.0-lp156.2.6 | Documentation for orbitcoin |
| orbitcoin-qt5 | 1.6.3.0-lp156.2.6 | GUI for the OrbitCoin crypto-currency |
| orbitcoind | 1.6.3.0-lp156.2.6 | Headless daemon for orbitcoin crypto-currency |
| orchestra-formula | 2.2.1-1.1 | Salt orchestration helper states |
| orchestra-formula | 2.2.1-lp156.1.1 | Salt orchestration helper states |
| orchestra-formula | 2.2.1-lp155.1.1 | Salt orchestration helper states |
| os_update-formula | 2.2.1-lp155.1.1 | Salt states for managing os-update |
| os_update-formula | 2.2.1-lp156.1.1 | Salt states for managing os-update |
| os_update-formula | 2.2.1-1.1 | Salt states for managing os-update |
| passwordsafe | 1.19.0-7.1 | A password database utility |
| passwordsafe | 1.19.0-7.1 | A password database utility |
| passwordsafe | 1.19.0-7.1 | A password database utility |
| passwordsafe-cli | 1.19.0-7.1 | A password database utility - commandline interface |
| passwordsafe-cli | 1.19.0-7.1 | A password database utility - commandline interface |
| passwordsafe-cli | 1.19.0-7.1 | A password database utility - commandline interface |
| pbm2l7k | 990321-2024gos20.1883.4 | Driver for Lexmark Printers 7000, 7200, and 5700 |
| perl-Devel-Size | 0.840.0-lp156.3.1 | Perl extension for finding the memory usage of Perl variable |
| perl-File-RandomAccess | 12.87-1.2 | Random Access Reads of Sequential File or Scalar |
| perl-Image-ExifTool | 12.87-1.2 | Read and write meta information |
| perl-Net-CUPS | 0.64-1699.2.pm.20 | Common Unix Printing System Interface |
| perl-Net-CUPS-debuginfo | 0.64-1699.2.pm.20 | Debug information for package perl-Net-CUPS |
| perl-Net-CUPS-debugsource | 0.64-1699.2.pm.20 | Debug sources for package perl-Net-CUPS |
| perl-Net-IMAP-Client | 0.9507-lp156.4.1 | Not so simple IMAP client library |
| perl-RDF-Query | 2.919-lp154.1.1 | Complete Sparql 1.1 Query and Update Implementation for Use |
| perl-RDF-Query | 2.919-lp155.1.1 | Complete Sparql 1.1 Query and Update Implementation for Use |
| perl-Text-Aligner | 0.16-lp156.12.1 | Module to align text |
| perl-Text-Table | 1.135-lp156.19.1 | Organize Data in Tables |
| perltidy | 20140711-lp156.3.1 | Indent and reformat perl scripts |
| pharo | 10.2.1-1.1 | Pharo is a pure object-oriented programming language and a p |
| pharo | 10.2.1-lp154.1.1 | Pharo is a pure object-oriented programming language and a p |
| pharo | 10.2.1-1.1 | Pharo is a pure object-oriented programming language and a p |
| pharo | 10.2.1-1.1 | Pharo is a pure object-oriented programming language and a p |
| pharo | 10.2.1-1.1 | Pharo is a pure object-oriented programming language and a p |
| pharo | 10.2.1-1.1 | Pharo is a pure object-oriented programming language and a p |
| pharo | 10.2.1-1.1 | Pharo is a pure object-oriented programming language and a p |
| pharo | 10.2.1-2.1 | Pharo is a pure object-oriented programming language and a p |
| pharo | 10.2.1-2.1 | Pharo is a pure object-oriented programming language and a p |
| photorec | 7.2-lp151.19.12 | Tool to Undelete Files |
| php-mongodb | 1.19.1-1.fc39.remi | MongoDB driver library |
| php-mongodb | 1.19.1-1.el7.remi | MongoDB driver library |
| php-mongodb | 1.19.1-1.fc39.remi | MongoDB driver library |
| php-mongodb | 1.19.1-1.el7.remi | MongoDB driver library |
| php-mongodb | 1.19.1-1.el7.remi | MongoDB driver library |
| php-mongodb | 1.19.1-1.fc40.remi | MongoDB driver library |
| php-mongodb | 1.19.1-1.fc38.remi | MongoDB driver library |
| php-mongodb | 1.19.1-1.fc40.remi | MongoDB driver library |
| php-pecl-awscrt | 1.2.6-1.el9.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el9.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el9.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.7.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc38.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc39.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc38.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc38.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc38.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc38.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc38.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc38.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc38.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc38.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc39.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc39.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.7.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.7.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc39.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc40.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc40.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el9.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc40.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el9.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el9.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc40.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc40.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el9.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc40.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc40.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc40.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.7.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc39.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc39.remi.7.4 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.5.5 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.7.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc39.remi.8.1 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.7.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc40.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc38.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el9.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el9.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.5.6 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.7.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc39.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc39.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc40.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.7.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el9.remi.8.0 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.fc39.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.7.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.8.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.7.2 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el8.remi.8.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt | 1.2.6-1.el7.remi.7.3 | AWS Common Runtime PHP bindings |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.7.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.7.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.7.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.7.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.7.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.7.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.7.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi.7.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.5.5 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi.8.0 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi.5.6 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi.7.4 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi.8.2 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi.8.3 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi.8.1 | Debug information for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc39.remi.8.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el9.remi.7.4 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc39.remi.8.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el9.remi.8.0 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el9.remi.8.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc40.remi.8.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.8.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el9.remi.8.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc38.remi.8.1 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.8.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.8.0 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc38.remi.8.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el9.remi.8.1 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc38.remi.8.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el9.remi.8.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el9.remi.8.0 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc38.remi.8.1 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc38.remi.7.4 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.8.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el9.remi.8.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc38.remi.8.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc39.remi.8.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.8.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el9.remi.7.4 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc40.remi.8.1 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc40.remi.8.0 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc40.remi.7.4 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.8.0 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.8.1 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el9.remi.8.1 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc39.remi.7.4 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.7.4 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc38.remi.7.4 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc39.remi.8.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc39.remi.8.1 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc39.remi.8.0 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc39.remi.8.0 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc39.remi.7.4 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc40.remi.8.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc38.remi.8.0 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc40.remi.7.4 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc40.remi.8.0 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.8.1 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc38.remi.8.0 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.7.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc39.remi.8.1 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.7.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc40.remi.8.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc38.remi.8.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc40.remi.8.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.7.2 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.7.4 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.el8.remi.7.3 | Debug sources for package php-pecl-awscrt |
| php-pecl-awscrt-debugsource | 1.2.6-1.fc40.remi.8.1 | Debug sources for package php-pecl-awscrt |
| php55-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php55-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php55-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php55-php-pecl-awscrt |
| php56-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php56-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php56-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php56-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php56-php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi | Debug information for package php56-php-pecl-awscrt |
| php56-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php56-php-pecl-awscrt |
| php70-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php70-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php70-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php70-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php70-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php70-php-pecl-awscrt |
| php70-php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi | Debug information for package php70-php-pecl-awscrt |
| php71-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php71-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php71-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php71-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php71-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php71-php-pecl-awscrt |
| php71-php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi | Debug information for package php71-php-pecl-awscrt |
| php72-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php72-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php72-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php72-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php72-php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi | Debug information for package php72-php-pecl-awscrt |
| php72-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php72-php-pecl-awscrt |
| php73-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php73-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php73-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php73-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php73-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php73-php-pecl-awscrt |
| php73-php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi | Debug information for package php73-php-pecl-awscrt |
| php74-php-pecl-awscrt | 1.2.6-1.el9.remi | AWS Common Runtime PHP bindings |
| php74-php-pecl-awscrt | 1.2.6-1.fc39.remi | AWS Common Runtime PHP bindings |
| php74-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php74-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php74-php-pecl-awscrt | 1.2.6-1.fc40.remi | AWS Common Runtime PHP bindings |
| php74-php-pecl-awscrt | 1.2.6-1.fc38.remi | AWS Common Runtime PHP bindings |
| php74-php-pecl-awscrt | 1.2.6-1.el9.remi | AWS Common Runtime PHP bindings |
| php74-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php74-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php74-php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi | Debug information for package php74-php-pecl-awscrt |
| php74-php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi | Debug information for package php74-php-pecl-awscrt |
| php74-php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi | Debug information for package php74-php-pecl-awscrt |
| php74-php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi | Debug information for package php74-php-pecl-awscrt |
| php74-php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi | Debug information for package php74-php-pecl-awscrt |
| php74-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php74-php-pecl-awscrt |
| php80-php-pecl-awscrt | 1.2.6-1.fc40.remi | AWS Common Runtime PHP bindings |
| php80-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php80-php-pecl-awscrt | 1.2.6-1.el9.remi | AWS Common Runtime PHP bindings |
| php80-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php80-php-pecl-awscrt | 1.2.6-1.fc39.remi | AWS Common Runtime PHP bindings |
| php80-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php80-php-pecl-awscrt | 1.2.6-1.fc38.remi | AWS Common Runtime PHP bindings |
| php80-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php80-php-pecl-awscrt | 1.2.6-1.el9.remi | AWS Common Runtime PHP bindings |
| php80-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php80-php-pecl-awscrt |
| php80-php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi | Debug information for package php80-php-pecl-awscrt |
| php80-php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi | Debug information for package php80-php-pecl-awscrt |
| php80-php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi | Debug information for package php80-php-pecl-awscrt |
| php80-php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi | Debug information for package php80-php-pecl-awscrt |
| php80-php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi | Debug information for package php80-php-pecl-awscrt |
| php81-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php81-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php81-php-pecl-awscrt | 1.2.6-1.el9.remi | AWS Common Runtime PHP bindings |
| php81-php-pecl-awscrt | 1.2.6-1.el9.remi | AWS Common Runtime PHP bindings |
| php81-php-pecl-awscrt | 1.2.6-1.fc39.remi | AWS Common Runtime PHP bindings |
| php81-php-pecl-awscrt | 1.2.6-1.fc40.remi | AWS Common Runtime PHP bindings |
| php81-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php81-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php81-php-pecl-awscrt | 1.2.6-1.fc38.remi | AWS Common Runtime PHP bindings |
| php81-php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi | Debug information for package php81-php-pecl-awscrt |
| php81-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php81-php-pecl-awscrt |
| php81-php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi | Debug information for package php81-php-pecl-awscrt |
| php81-php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi | Debug information for package php81-php-pecl-awscrt |
| php81-php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi | Debug information for package php81-php-pecl-awscrt |
| php81-php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi | Debug information for package php81-php-pecl-awscrt |
| php82-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php82-php-pecl-awscrt | 1.2.6-1.fc38.remi | AWS Common Runtime PHP bindings |
| php82-php-pecl-awscrt | 1.2.6-1.el9.remi | AWS Common Runtime PHP bindings |
| php82-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php82-php-pecl-awscrt | 1.2.6-1.fc39.remi | AWS Common Runtime PHP bindings |
| php82-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php82-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php82-php-pecl-awscrt | 1.2.6-1.el9.remi | AWS Common Runtime PHP bindings |
| php82-php-pecl-awscrt | 1.2.6-1.fc40.remi | AWS Common Runtime PHP bindings |
| php82-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php82-php-pecl-awscrt |
| php82-php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi | Debug information for package php82-php-pecl-awscrt |
| php82-php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi | Debug information for package php82-php-pecl-awscrt |
| php82-php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi | Debug information for package php82-php-pecl-awscrt |
| php82-php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi | Debug information for package php82-php-pecl-awscrt |
| php82-php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi | Debug information for package php82-php-pecl-awscrt |
| php83-php-pecl-awscrt | 1.2.6-1.fc38.remi | AWS Common Runtime PHP bindings |
| php83-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php83-php-pecl-awscrt | 1.2.6-1.el8.remi | AWS Common Runtime PHP bindings |
| php83-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php83-php-pecl-awscrt | 1.2.6-1.fc39.remi | AWS Common Runtime PHP bindings |
| php83-php-pecl-awscrt | 1.2.6-1.el9.remi | AWS Common Runtime PHP bindings |
| php83-php-pecl-awscrt | 1.2.6-1.el9.remi | AWS Common Runtime PHP bindings |
| php83-php-pecl-awscrt | 1.2.6-1.el7.remi | AWS Common Runtime PHP bindings |
| php83-php-pecl-awscrt | 1.2.6-1.fc40.remi | AWS Common Runtime PHP bindings |
| php83-php-pecl-awscrt-debuginfo | 1.2.6-1.fc38.remi | Debug information for package php83-php-pecl-awscrt |
| php83-php-pecl-awscrt-debuginfo | 1.2.6-1.fc40.remi | Debug information for package php83-php-pecl-awscrt |
| php83-php-pecl-awscrt-debuginfo | 1.2.6-1.fc39.remi | Debug information for package php83-php-pecl-awscrt |
| php83-php-pecl-awscrt-debuginfo | 1.2.6-1.el7.remi | Debug information for package php83-php-pecl-awscrt |
| php83-php-pecl-awscrt-debuginfo | 1.2.6-1.el9.remi | Debug information for package php83-php-pecl-awscrt |
| php83-php-pecl-awscrt-debuginfo | 1.2.6-1.el8.remi | Debug information for package php83-php-pecl-awscrt |
| phpMyFAQ | 3.2.7-1.1 | FAQ-Software in php |
| phpMyFAQ | 3.2.7-1.1 | FAQ-Software in php |
| phpMyFAQ | 3.2.7-lp154.1.1 | FAQ-Software in php |
| phpMyFAQ | 3.2.7-1.1 | FAQ-Software in php |
| phpMyFAQ | 3.2.7-lp155.1.1 | FAQ-Software in php |
| phpMyFAQ | 3.2.7-1.1 | FAQ-Software in php |
| phpMyFAQ | 3.2.7-lp156.1.1 | FAQ-Software in php |
| phpMyFAQ-apache | 3.2.7-1.1 | Apache configuration for phpMyFAQ |
| phpMyFAQ-apache | 3.2.7-1.1 | Apache configuration for phpMyFAQ |
| phpMyFAQ-apache | 3.2.7-lp155.1.1 | Apache configuration for phpMyFAQ |
| phpMyFAQ-apache | 3.2.7-lp156.1.1 | Apache configuration for phpMyFAQ |
| phpMyFAQ-apache | 3.2.7-1.1 | Apache configuration for phpMyFAQ |
| phpMyFAQ-apache | 3.2.7-lp154.1.1 | Apache configuration for phpMyFAQ |
| phpMyFAQ-apache | 3.2.7-1.1 | Apache configuration for phpMyFAQ |
| pidgin-plugin-matrix | 0.0.0~git.1624740297.91021c8-lp155.6.4 | Pidgin protocol plugin for Matrix |
| pidgin-plugin-skypeweb | 1.7-lp155.5.4 | Pidgin plugin for SkypeWeb API |
| plasma-branding-MicroOS | 20240611-lp155.25.1 | MicroOS Desktop default settings |
| plexus-component-metadata | 2.2.0-slfo.1.2.1 | Component metadata from plexus-containers |
| plexus-component-metadata-javadoc | 2.2.0-slfo.1.2.1 | API documentation for plexus-component-metadata |
| pmdk | 2.1.0-150500.45.1 | Persistent Memory Development Kit |
| pmdk-devel-doc | 2.1.0-150500.45.1 | Man pages for the libpmem C API |
| pmdk-tools | 2.1.0-150500.45.1 | Utilities for Persistent Memory |
| pnm2ppa | 1.13-2024gos20.8.6 | HP PPA GhostScript filter |
| podman | 4.9.4-4.el9_4 | Manage Pods, Containers and Container Images |
| podman | 4.9.4-4.el9_4 | Manage Pods, Containers and Container Images |
| podman-docker | 4.9.4-4.el9_4 | Emulate Docker CLI using podman |
| podman-docker | 4.9.4-4.el9_4 | Emulate Docker CLI using podman |
| podman-docker | 4.9.4-4.el9_4 | Emulate Docker CLI using podman |
| podman-docker | 4.9.4-4.el9_4 | Emulate Docker CLI using podman |
| podman-docker | 4.9.4-4.el9_4 | Emulate Docker CLI using podman |
| podman-plugins | 4.9.4-4.el9_4 | Plugins for podman |
| podman-plugins | 4.9.4-4.el9_4 | Plugins for podman |
| podman-remote | 4.9.4-4.el9_4 | A remote CLI for Podman: A Simple management tool for pods, |
| podman-remote | 4.9.4-4.el9_4 | A remote CLI for Podman: A Simple management tool for pods, |
| podman-tests | 4.9.4-4.el9_4 | Tests for podman |
| podman-tests | 4.9.4-4.el9_4 | Tests for podman |
| postgresql_autodoc | 20200921-lp156.1.1 | Creates documents and ER diagrams describing PostgreSQL datb |
| potcoin-qt5 | 1.4.0.0-lp156.3.6 | GUI for the PotCoin crypto-currency |
| potcoind | 1.4.0.0-lp156.3.6 | Headless daemon for potcoin crypto-currency |
| primecoin-qt | 0.1.5-lp156.3.8 | GUI for the PrimeCoin crypto-currency |
| primecoind | 0.1.5-lp156.3.8 | Headless daemon for primecoin crypto-currency |
| px68k-libretro | 20211224-lp155.5.4 | A core for a modular multi-system emulator system |
| py26-compat-msgpack-python | 0.4.6-5.1 | MessagePack (de)serializer |
| py26-compat-msgpack-python | 0.4.6-150300.5.1 | MessagePack (de)serializer |
| py26-compat-ordereddict | 1.1-1.1 | A drop-in substitute for Py2.7\'s new collections.OrderedDic |
| py26-compat-ordereddict | 1.1-150300.1.1 | A drop-in substitute for Py2.7\'s new collections.OrderedDic |
| py26-compat-salt | 2016.11.10-150300.39.1 | Python 2.6 compatible salt |
| py26-compat-salt | 2016.11.10-39.1 | Python 2.6 compatible salt |
| py26-compat-tornado | 4.2.1-150300.5.1 | Open source version of scalable, non-blocking web server tha |
| py26-compat-tornado | 4.2.1-5.1 | Open source version of scalable, non-blocking web server tha |
| py27-compat-salt | 3000.3-150300.54.1 | Python 2.7 compatible salt |
| py27-compat-salt | 3000.3-54.1 | Python 2.7 compatible salt |
| pyskool | 1.2.1-18.fc41 | Remakes of Skool Daze and Back to Skool |
| pyskool | 1.2.1-18.fc41 | Remakes of Skool Daze and Back to Skool |
| pyskool | 1.2.1-18.fc41 | Remakes of Skool Daze and Back to Skool |
| python-apache-libcloud | 0.19.0-5.1 | Abstract away differences among multiple cloud provider APIs |
| python-apache-libcloud | 0.19.0-150300.5.1 | Abstract away differences among multiple cloud provider APIs |
| python-certifi | 2015.9.6.2-4.1 | Python package for providing Mozilla\'s CA Bundle |
| python-certifi | 2015.9.6.2-150300.4.1 | Python package for providing Mozilla\'s CA Bundle |
| python-CherryPy | 3.6.0-12.1 | Object-Oriented HTTP framework |
| python-CherryPy | 3.6.0-150300.12.1 | Object-Oriented HTTP framework |
| python-libeconf-doc | 0.7.2-1.1 | Man page for python-libeconf |
| python-libeconf-doc | 0.7.2-1.1 | Man page for python-libeconf |
| python-libeconf-doc | 0.7.2-1.1 | Man page for python-libeconf |
| python-libeconf-doc | 0.7.2-1.1 | Man page for python-libeconf |
| python-libeconf-doc | 0.7.2-1.1 | Man page for python-libeconf |
| python-libeconf-doc | 0.7.2-1.1 | Man page for python-libeconf |
| python-libeconf-doc | 0.7.2-1.1 | Man page for python-libeconf |
| python-lxml-doc | 5.2.2-1.1 | Documentation for python-lxml, an XML processing library |
| python-lxml-doc | 5.2.2-3.9 | Documentation for python-lxml, an XML processing library |
| python-lxml-doc | 5.2.2-1.1 | Documentation for python-lxml, an XML processing library |
| python-lxml-doc | 5.2.2-2.11 | Documentation for python-lxml, an XML processing library |
| python-lxml-doc | 5.2.2-2.5 | Documentation for python-lxml, an XML processing library |
| python-lxml-doc | 5.2.2-1.1 | Documentation for python-lxml, an XML processing library |
| python-lxml-doc | 5.2.2-3.5 | Documentation for python-lxml, an XML processing library |
| python-lxml-doc | 5.2.2-1.1 | Documentation for python-lxml, an XML processing library |
| python-lxml-doc | 5.2.2-1.1 | Documentation for python-lxml, an XML processing library |
| python-singledispatch | 3.4.0.3-150300.1.1 | Provides functools.singledispatch for Python 2.x |
| python-singledispatch | 3.4.0.3-1.1 | Provides functools.singledispatch for Python 2.x |
| python2-zope.exceptions | 5.1-2.1 | Zope Exceptions |
| python2-zope.exceptions | 5.1-2.1 | Zope Exceptions |
| python2-zope.exceptions | 5.1-2.1 | Zope Exceptions |
| python3-asysocks | 0.2.12-lp156.1.1 | Socks5 / Socks4 / HTTP proxy client and server python librar |
| python3-asysocks | 0.2.12-lp155.1.1 | Socks5 / Socks4 / HTTP proxy client and server python librar |
| python3-contextvars | 2.4-150300.1.1 | PEP 567 (context variables) backport |
| python3-contextvars | 2.4-150300.1.1 | PEP 567 (context variables) backport |
| python3-contextvars | 2.4-1.1 | PEP 567 (context variables) backport |
| python3-contextvars | 2.4-1.1 | PEP 567 (context variables) backport |
| python3-ffmpeg-normalize | 1.28.1-1.fc41 | Normalize audio via ffmpeg |
| python3-ffmpeg-normalize | 1.28.1-1.fc41 | Normalize audio via ffmpeg |
| python3-ffmpeg-normalize | 1.28.1-1.fc41 | Normalize audio via ffmpeg |
| python3-firewall | 2.1.2-122.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-3.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-3.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-127.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-122.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-123.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-122.2 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-127.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-122.3 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-123.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-122.2 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-123.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-3.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-124.3 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-3.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-3.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-4.1 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-131.3 | Python3 bindings for firewalld |
| python3-firewall | 2.1.2-122.1 | Python3 bindings for firewalld |
| python3-glBooklet | 0.0.2.git.1566560765.811395e-lp156.5.1 | Converts PDFs to printable booklet |
| python3-glMAC | 0.0.7.git.1565269855.52027e0-lp156.7.1 | Retrieves vendor information from MAC address |
| python3-immutables | 0.11-2.1 | Immutable collections for Python |
| python3-immutables | 0.11-150300.2.1 | Immutable collections for Python |
| python3-immutables | 0.11-1.1 | Immutable collections for Python |
| python3-immutables | 0.11-150300.1.1 | Immutable collections for Python |
| python3-keylime | 7.11.0-99.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python3-keylime | 7.11.0-99.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python3-keylime | 7.11.0-lp155.111.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python3-libixion | 0.18.1-2024gos20.2.3 | Python bindings for libixion |
| python3-liborcus | 0.18.1-2024gos20.2.3 | Python bindings for liborcus |
| python3-logilab-common | 1.11.0-lp156.2.9 | Python lowlevel functionality shared by logilab projects |
| python3-looseversion | 1.0.2-6.1 | A backwards/forwards-compatible fork of distutils.version.Lo |
| python3-looseversion | 1.0.2-1.1 | A backwards/forwards-compatible fork of distutils.version.Lo |
| python3-looseversion | 1.0.2-150300.1.1 | A backwards/forwards-compatible fork of distutils.version.Lo |
| python3-monitoring-plugins-http_json | 2.2.0-lp155.22.2 | Plugin for Nagios which checks json values from a given HTTP |
| python3-pyqt-distutils | 0.7.3-lp156.1.1 | A set of distutils extension for building Qt ui files |
| python3-python-sql | 1.5.1-lp155.42.1 | Library to write SQL queries |
| python3-salt | 3006.0-20.2 | python3 library for salt |
| python3-samba | 4.19.4-105.el9_4 | Samba Python3 libraries |
| python3-samba | 4.19.4-105.el9_4 | Samba Python3 libraries |
| python3-samba | 4.19.4-105.el9_4 | Samba Python3 libraries |
| python3-samba | 4.19.4-105.el9_4 | Samba Python3 libraries |
| python3-samba-dc | 4.19.4-105.el9_4 | Samba Python libraries for Samba AD |
| python3-samba-dc | 4.19.4-105.el9_4 | Samba Python libraries for Samba AD |
| python3-samba-devel | 4.19.4-105.el9_4 | Samba python devel files |
| python3-samba-devel | 4.19.4-105.el9_4 | Samba python devel files |
| python3-samba-devel | 4.19.4-105.el9_4 | Samba python devel files |
| python3-samba-devel | 4.19.4-105.el9_4 | Samba python devel files |
| python3-samba-test | 4.19.4-105.el9_4 | Samba Python libraries |
| python3-samba-test | 4.19.4-105.el9_4 | Samba Python libraries |
| python3-tvh | 4.3^20240111gitc9b38a8-6.fc41 | HTSP client for Python |
| python3-tvh | 4.3^20240111gitc9b38a8-6.fc41 | HTSP client for Python |
| python3-tvh | 4.3^20240111gitc9b38a8-6.fc41 | HTSP client for Python |
| python3-zope.exceptions | 5.1-2.1 | Zope Exceptions |
| python3-zope.exceptions | 5.1-2.1 | Zope Exceptions |
| python3-zope.exceptions | 5.1-2.1 | Zope Exceptions |
| python310-asyauth | 0.0.20-2.7 | Unified authentication library |
| python310-asyauth | 0.0.20-2.13 | Unified authentication library |
| python310-asysocks | 0.2.12-1.7 | Socks5 / Socks4 / HTTP proxy client and server python librar |
| python310-asysocks | 0.2.12-1.13 | Socks5 / Socks4 / HTTP proxy client and server python librar |
| python310-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python310-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python310-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python310-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python310-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python310-azure-developer-devcenter | 1.0.0-8.17 | Microsoft Azure Developer DevCenter Service Client Library f |
| python310-keylime | 7.11.0-100.3 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-114.7 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-1.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-1.3 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-1.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-1.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-1.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-114.7 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-2.6 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-114.12 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-keylime | 7.11.0-114.7 | Open source TPM software for Bootstrapping and Maintaining T |
| python310-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python310-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python310-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python310-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python310-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python310-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python310-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python310-lxml | 5.2.2-1.1 | Pythonic XML processing library |
| python310-lxml | 5.2.2-1.1 | Pythonic XML processing library |
| python310-lxml | 5.2.2-3.9 | Pythonic XML processing library |
| python310-lxml | 5.2.2-3.5 | Pythonic XML processing library |
| python310-lxml | 5.2.2-2.11 | Pythonic XML processing library |
| python310-lxml | 5.2.2-1.1 | Pythonic XML processing library |
| python310-lxml | 5.2.2-2.5 | Pythonic XML processing library |
| python310-lxml | 5.2.2-2.11 | Pythonic XML processing library |
| python310-lxml | 5.2.2-2.5 | Pythonic XML processing library |
| python310-lxml | 5.2.2-3.5 | Pythonic XML processing library |
| python310-lxml-devel | 5.2.2-3.5 | Development files for python-lxml |
| python310-lxml-devel | 5.2.2-2.5 | Development files for python-lxml |
| python310-lxml-devel | 5.2.2-2.5 | Development files for python-lxml |
| python310-lxml-devel | 5.2.2-1.1 | Development files for python-lxml |
| python310-lxml-devel | 5.2.2-2.11 | Development files for python-lxml |
| python310-lxml-devel | 5.2.2-3.5 | Development files for python-lxml |
| python310-lxml-devel | 5.2.2-1.1 | Development files for python-lxml |
| python310-lxml-devel | 5.2.2-1.1 | Development files for python-lxml |
| python310-lxml-devel | 5.2.2-2.11 | Development files for python-lxml |
| python310-lxml-devel | 5.2.2-3.9 | Development files for python-lxml |
| python310-maturin | 1.6.0-lp155.93.1 | Rust/Python Interoperability |
| python310-minikerberos | 0.4.4-1.7 | Kerberos manipulation library in pure Python |
| python310-minikerberos | 0.4.4-1.13 | Kerberos manipulation library in pure Python |
| python310-msldap | 0.5.10-1.7 | Python library to play with MS LDAP |
| python310-msldap | 0.5.10-1.13 | Python library to play with MS LDAP |
| python310-prompt_toolkit | 3.0.47-1.11 | Library for building powerful interactive command lines in P |
| python310-prompt_toolkit | 3.0.47-1.6 | Library for building powerful interactive command lines in P |
| python310-PyICU | 2.13.1-1.1 | Python Extension Wrapping the ICU C++ API |
| python310-PyICU | 2.13.1-2.8 | Python Extension Wrapping the ICU C++ API |
| python310-PyICU | 2.13.1-1.1 | Python Extension Wrapping the ICU C++ API |
| python310-PyICU | 2.13.1-1.1 | Python Extension Wrapping the ICU C++ API |
| python310-PyICU | 2.13.1-37.27 | Python Extension Wrapping the ICU C++ API |
| python310-PyICU | 2.13.1-37.27 | Python Extension Wrapping the ICU C++ API |
| python310-PyICU | 2.13.1-2.8 | Python Extension Wrapping the ICU C++ API |
| python310-PyICU | 2.13.1-39.19 | Python Extension Wrapping the ICU C++ API |
| python310-PyICU | 2.13.1-38.10 | Python Extension Wrapping the ICU C++ API |
| python310-PyICU | 2.13.1-39.19 | Python Extension Wrapping the ICU C++ API |
| python310-winacl | 0.1.9-1.13 | ACL/ACE/Security Descriptor manipulation library in pure Pyt |
| python310-winacl | 0.1.9-1.7 | ACL/ACE/Security Descriptor manipulation library in pure Pyt |
| python311-abseil | 2.1.0-lp156.2.1 | Abseil Python Common Libraries |
| python311-abseil | 2.1.0-lp154.2.1 | Abseil Python Common Libraries |
| python311-abseil | 2.1.0-lp155.2.1 | Abseil Python Common Libraries |
| python311-asyauth | 0.0.20-2.7 | Unified authentication library |
| python311-asyauth | 0.0.20-2.13 | Unified authentication library |
| python311-asysocks | 0.2.12-1.13 | Socks5 / Socks4 / HTTP proxy client and server python librar |
| python311-asysocks | 0.2.12-1.7 | Socks5 / Socks4 / HTTP proxy client and server python librar |
| python311-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python311-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python311-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python311-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python311-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python311-azure-developer-devcenter | 1.0.0-8.17 | Microsoft Azure Developer DevCenter Service Client Library f |
| python311-azure-developer-devcenter | 1.0.0-lp160.2.3 | Microsoft Azure Developer DevCenter Service Client Library f |
| python311-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-114.7 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-1.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-2.6 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-114.12 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-1.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-1.3 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-114.7 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-1.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-100.3 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-114.7 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-1.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python311-Levenshtein | 0.12.0-2.1 | Python extension computing string distances and similarities |
| python311-Levenshtein | 0.12.0-2.1 | Python extension computing string distances and similarities |
| python311-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python311-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python311-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python311-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python311-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python311-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python311-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python311-libnacl | 2.1.0-lp155.64.1 | Python bindings for libsodium based on ctypes |
| python311-lxml | 5.2.2-3.5 | Pythonic XML processing library |
| python311-lxml | 5.2.2-2.5 | Pythonic XML processing library |
| python311-lxml | 5.2.2-3.5 | Pythonic XML processing library |
| python311-lxml | 5.2.2-2.11 | Pythonic XML processing library |
| python311-lxml | 5.2.2-2.5 | Pythonic XML processing library |
| python311-lxml | 5.2.2-2.11 | Pythonic XML processing library |
| python311-lxml | 5.2.2-3.9 | Pythonic XML processing library |
| python311-lxml | 5.2.2-1.1 | Pythonic XML processing library |
| python311-lxml | 5.2.2-1.1 | Pythonic XML processing library |
| python311-lxml | 5.2.2-1.1 | Pythonic XML processing library |
| python311-lxml-devel | 5.2.2-3.5 | Development files for python-lxml |
| python311-lxml-devel | 5.2.2-1.1 | Development files for python-lxml |
| python311-lxml-devel | 5.2.2-2.5 | Development files for python-lxml |
| python311-lxml-devel | 5.2.2-3.5 | Development files for python-lxml |
| python311-lxml-devel | 5.2.2-1.1 | Development files for python-lxml |
| python311-lxml-devel | 5.2.2-3.9 | Development files for python-lxml |
| python311-lxml-devel | 5.2.2-2.11 | Development files for python-lxml |
| python311-lxml-devel | 5.2.2-2.11 | Development files for python-lxml |
| python311-lxml-devel | 5.2.2-1.1 | Development files for python-lxml |
| python311-lxml-devel | 5.2.2-2.5 | Development files for python-lxml |
| python311-Mako | 1.3.5-2024.3.1 | A Python templating language |
| python311-maturin | 1.6.0-lp155.93.1 | Rust/Python Interoperability |
| python311-minikerberos | 0.4.4-1.13 | Kerberos manipulation library in pure Python |
| python311-minikerberos | 0.4.4-1.7 | Kerberos manipulation library in pure Python |
| python311-msldap | 0.5.10-1.13 | Python library to play with MS LDAP |
| python311-msldap | 0.5.10-1.7 | Python library to play with MS LDAP |
| python311-prompt_toolkit | 3.0.47-1.6 | Library for building powerful interactive command lines in P |
| python311-prompt_toolkit | 3.0.47-1.11 | Library for building powerful interactive command lines in P |
| python311-PyICU | 2.13.1-2.8 | Python Extension Wrapping the ICU C++ API |
| python311-PyICU | 2.13.1-39.19 | Python Extension Wrapping the ICU C++ API |
| python311-PyICU | 2.13.1-37.27 | Python Extension Wrapping the ICU C++ API |
| python311-PyICU | 2.13.1-39.19 | Python Extension Wrapping the ICU C++ API |
| python311-PyICU | 2.13.1-38.10 | Python Extension Wrapping the ICU C++ API |
| python311-PyICU | 2.13.1-1.1 | Python Extension Wrapping the ICU C++ API |
| python311-PyICU | 2.13.1-lp160.2.5 | Python Extension Wrapping the ICU C++ API |
| python311-PyICU | 2.13.1-37.27 | Python Extension Wrapping the ICU C++ API |
| python311-PyICU | 2.13.1-1.1 | Python Extension Wrapping the ICU C++ API |
| python311-PyICU | 2.13.1-2.8 | Python Extension Wrapping the ICU C++ API |
| python311-PyICU | 2.13.1-1.1 | Python Extension Wrapping the ICU C++ API |
| python311-python-sql | 1.5.1-lp155.42.1 | Library to write SQL queries |
| python311-social-auth-app-django | 5.4.1-lp155.31.2 | Python Social Authentication, Django integration |
| python311-tomlkit | 0.12.5-lp154.42.1 | Style preserving TOML library |
| python311-ujson | 5.10.0-150500.2.1 | JSON encoder and decoder for Python |
| python311-ujson | 5.10.0-150600.2.1 | JSON encoder and decoder for Python |
| python311-watchdog | 4.0.1-lp154.2.1 | Filesystem events monitoring |
| python311-watchdog | 4.0.1-lp156.2.1 | Filesystem events monitoring |
| python311-watchdog | 4.0.1-lp155.2.1 | Filesystem events monitoring |
| python311-winacl | 0.1.9-1.13 | ACL/ACE/Security Descriptor manipulation library in pure Pyt |
| python311-winacl | 0.1.9-1.7 | ACL/ACE/Security Descriptor manipulation library in pure Pyt |
| python311-zope.exceptions | 5.1-lp156.2.1 | Zope Exceptions |
| python311-zope.exceptions | 5.1-lp155.2.1 | Zope Exceptions |
| python311-zope.exceptions | 5.1-lp154.2.1 | Zope Exceptions |
| python312-asyauth | 0.0.20-2.13 | Unified authentication library |
| python312-asyauth | 0.0.20-2.7 | Unified authentication library |
| python312-asysocks | 0.2.12-1.7 | Socks5 / Socks4 / HTTP proxy client and server python librar |
| python312-asysocks | 0.2.12-1.13 | Socks5 / Socks4 / HTTP proxy client and server python librar |
| python312-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python312-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python312-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python312-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python312-azure-developer-devcenter | 1.0.0-1.1 | Microsoft Azure Developer DevCenter Service Client Library f |
| python312-azure-developer-devcenter | 1.0.0-8.17 | Microsoft Azure Developer DevCenter Service Client Library f |
| python312-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-100.3 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-114.12 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-1.3 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-114.7 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-1.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-114.7 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-100.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-1.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-1.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-2.6 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-114.7 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-100.1 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-keylime | 7.11.0-1.2 | Open source TPM software for Bootstrapping and Maintaining T |
| python312-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python312-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python312-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python312-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python312-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python312-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python312-libeconf | 0.7.2-1.1 | Python bindings for libeconf |
| python312-lxml | 5.2.2-2.5 | Pythonic XML processing library |
| python312-lxml | 5.2.2-2.11 | Pythonic XML processing library |
| python312-lxml | 5.2.2-3.9 | Pythonic XML processing library |
| python312-lxml | 5.2.2-2.11 | Pythonic XML processing library |
| python312-lxml | 5.2.2-1.1 | Pythonic XML processing library |
| python312-lxml | 5.2.2-1.1 | Pythonic XML processing library |
| python312-lxml | 5.2.2-2.5 | Pythonic XML processing library |
| python312-lxml | 5.2.2-3.5 | Pythonic XML processing library |
| python312-lxml | 5.2.2-1.1 | Pythonic XML processing library |
| python312-lxml | 5.2.2-3.5 | Pythonic XML processing library |
| python312-lxml-devel | 5.2.2-2.11 | Development files for python-lxml |
| python312-lxml-devel | 5.2.2-3.9 | Development files for python-lxml |
| python312-lxml-devel | 5.2.2-1.1 | Development files for python-lxml |
| python312-lxml-devel | 5.2.2-1.1 | Development files for python-lxml |
| python312-lxml-devel | 5.2.2-1.1 | Development files for python-lxml |
| python312-lxml-devel | 5.2.2-3.5 | Development files for python-lxml |
| python312-lxml-devel | 5.2.2-2.5 | Development files for python-lxml |
| python312-lxml-devel | 5.2.2-3.5 | Development files for python-lxml |
| python312-lxml-devel | 5.2.2-2.11 | Development files for python-lxml |
| python312-lxml-devel | 5.2.2-2.5 | Development files for python-lxml |
| python312-minikerberos | 0.4.4-1.13 | Kerberos manipulation library in pure Python |
| python312-minikerberos | 0.4.4-1.7 | Kerberos manipulation library in pure Python |
| python312-msldap | 0.5.10-1.13 | Python library to play with MS LDAP |
| python312-msldap | 0.5.10-1.7 | Python library to play with MS LDAP |
| python312-prompt_toolkit | 3.0.47-1.6 | Library for building powerful interactive command lines in P |
| python312-prompt_toolkit | 3.0.47-1.11 | Library for building powerful interactive command lines in P |
| python312-PyICU | 2.13.1-39.19 | Python Extension Wrapping the ICU C++ API |
| python312-PyICU | 2.13.1-2.8 | Python Extension Wrapping the ICU C++ API |
| python312-PyICU | 2.13.1-37.27 | Python Extension Wrapping the ICU C++ API |
| python312-PyICU | 2.13.1-39.19 | Python Extension Wrapping the ICU C++ API |
| python312-PyICU | 2.13.1-1.1 | Python Extension Wrapping the ICU C++ API |
| python312-PyICU | 2.13.1-1.1 | Python Extension Wrapping the ICU C++ API |
| python312-PyICU | 2.13.1-37.27 | Python Extension Wrapping the ICU C++ API |
| python312-PyICU | 2.13.1-38.10 | Python Extension Wrapping the ICU C++ API |
| python312-PyICU | 2.13.1-2.8 | Python Extension Wrapping the ICU C++ API |
| python312-PyICU | 2.13.1-1.1 | Python Extension Wrapping the ICU C++ API |
| python312-winacl | 0.1.9-1.13 | ACL/ACE/Security Descriptor manipulation library in pure Pyt |
| python312-winacl | 0.1.9-1.7 | ACL/ACE/Security Descriptor manipulation library in pure Pyt |
| python39-abseil | 2.1.0-lp154.2.1 | Abseil Python Common Libraries |
| python39-alsa | 1.2.12-lp154.2.1 | Python ALSA binding |
| python39-watchdog | 4.0.1-lp154.2.1 | Filesystem events monitoring |
| python39-zope.exceptions | 5.1-lp154.2.1 | Zope Exceptions |
| qjoypad | 4.3.1-lp155.2.7 | Gamepad or joystick configuration utility |
| qpdf | 11.9.1-lp155.168.1 | Command-line tools and library for transforming PDF files |
| qpdf-devel | 11.9.1-lp155.168.1 | Development files for qpdf PDF manipulation library |
| qphotorec | 7.2-lp151.19.12 | Graphical tool to Undelete Files |
| QtBitcoinTrader | 1.42.22-lp156.2.4 | Trading Client for most popular Bitcoin Exchanges |
| qubes-core-qrexec | 4.2.20-1.fc40 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc37 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc39 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc39 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc37 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc39 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc38 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc40 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc38 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc37 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc37 | The Qubes qrexec files (common files) |
| qubes-core-qrexec | 4.2.20-1.fc37 | The Qubes qrexec files (common files) |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc37 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc40 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc37 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc37 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc39 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc39 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc38 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc37 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc40 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc37 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc39 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-debugsource | 4.2.20-1.fc38 | Debug sources for package qubes-core-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc37 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc37 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc37 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc39 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc37 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc40 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc39 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc38 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc40 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc37 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc38 | Development headers for qubes-qrexec |
| qubes-core-qrexec-devel | 4.2.20-1.fc39 | Development headers for qubes-qrexec |
| qubes-core-qrexec-dom0 | 4.2.20-1.fc37 | The Qubes qrexec files (Dom0-side) |
| qubes-core-qrexec-dom0 | 4.2.20-1.fc37 | The Qubes qrexec files (Dom0-side) |
| qubes-core-qrexec-dom0 | 4.2.20-1.fc37 | The Qubes qrexec files (Dom0-side) |
| qubes-core-qrexec-dom0-debuginfo | 4.2.20-1.fc37 | Debug information for package qubes-core-qrexec-dom0 |
| qubes-core-qrexec-dom0-debuginfo | 4.2.20-1.fc37 | Debug information for package qubes-core-qrexec-dom0 |
| qubes-core-qrexec-dom0-debuginfo | 4.2.20-1.fc37 | Debug information for package qubes-core-qrexec-dom0 |
| qubes-core-qrexec-dom0-debugsource | 4.2.20-1.fc37 | Debug sources for package qubes-core-qrexec-dom0 |
| qubes-core-qrexec-dom0-debugsource | 4.2.20-1.fc37 | Debug sources for package qubes-core-qrexec-dom0 |
| qubes-core-qrexec-dom0-debugsource | 4.2.20-1.fc37 | Debug sources for package qubes-core-qrexec-dom0 |
| qubes-core-qrexec-libs | 4.2.20-1.fc39 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc40 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc38 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc38 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc37 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc39 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc39 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc40 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc37 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc37 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc37 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs | 4.2.20-1.fc37 | Libraries for qubes-qrexec |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc37 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc40 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc39 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc37 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc39 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc40 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc38 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc37 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc37 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc37 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc39 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-libs-debuginfo | 4.2.20-1.fc38 | Debug information for package qubes-core-qrexec-libs |
| qubes-core-qrexec-vm | 4.2.20-1.fc38 | The Qubes qrexec files (qube side) |
| qubes-core-qrexec-vm | 4.2.20-1.fc40 | The Qubes qrexec files (qube side) |
| qubes-core-qrexec-vm | 4.2.20-1.fc39 | The Qubes qrexec files (qube side) |
| qubes-core-qrexec-vm | 4.2.20-1.fc39 | The Qubes qrexec files (qube side) |
| qubes-core-qrexec-vm | 4.2.20-1.fc38 | The Qubes qrexec files (qube side) |
| qubes-core-qrexec-vm | 4.2.20-1.fc39 | The Qubes qrexec files (qube side) |
| qubes-core-qrexec-vm | 4.2.20-1.fc37 | The Qubes qrexec files (qube side) |
| qubes-core-qrexec-vm | 4.2.20-1.fc40 | The Qubes qrexec files (qube side) |
| qubes-core-qrexec-vm | 4.2.20-1.fc37 | The Qubes qrexec files (qube side) |
| qubes-core-qrexec-vm-debuginfo | 4.2.20-1.fc39 | Debug information for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debuginfo | 4.2.20-1.fc39 | Debug information for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debuginfo | 4.2.20-1.fc37 | Debug information for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debuginfo | 4.2.20-1.fc38 | Debug information for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debuginfo | 4.2.20-1.fc40 | Debug information for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debuginfo | 4.2.20-1.fc37 | Debug information for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debuginfo | 4.2.20-1.fc38 | Debug information for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debuginfo | 4.2.20-1.fc39 | Debug information for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debuginfo | 4.2.20-1.fc40 | Debug information for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debugsource | 4.2.20-1.fc38 | Debug sources for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debugsource | 4.2.20-1.fc40 | Debug sources for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debugsource | 4.2.20-1.fc39 | Debug sources for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debugsource | 4.2.20-1.fc40 | Debug sources for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debugsource | 4.2.20-1.fc39 | Debug sources for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debugsource | 4.2.20-1.fc37 | Debug sources for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debugsource | 4.2.20-1.fc37 | Debug sources for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debugsource | 4.2.20-1.fc39 | Debug sources for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-debugsource | 4.2.20-1.fc38 | Debug sources for package qubes-core-qrexec-vm |
| qubes-core-qrexec-vm-selinux | 4.2.20-1.fc40 | SELinux policies for qrexec |
| qubes-core-qrexec-vm-selinux | 4.2.20-1.fc39 | SELinux policies for qrexec |
| qubes-core-qrexec-vm-selinux | 4.2.20-1.fc39 | SELinux policies for qrexec |
| qubes-core-qrexec-vm-selinux | 4.2.20-1.fc40 | SELinux policies for qrexec |
| qubes-core-qrexec-vm-selinux | 4.2.20-1.fc37 | SELinux policies for qrexec |
| qubes-core-qrexec-vm-selinux | 4.2.20-1.fc38 | SELinux policies for qrexec |
| qubes-core-qrexec-vm-selinux | 4.2.20-1.fc37 | SELinux policies for qrexec |
| qubes-core-qrexec-vm-selinux | 4.2.20-1.fc38 | SELinux policies for qrexec |
| qubes-core-qrexec-vm-selinux | 4.2.20-1.fc39 | SELinux policies for qrexec |
| R-A3 | 1.0.0-lp153.2.13 | Accurate, Adaptable, and Accessible Error Metrics for Predic |
| R-AalenJohansen | 1.0-lp153.1.5 | Conditional Aalen-Johansen Estimation |
| R-aba | 0.0.9-lp153.2.11 | Automated Biomarker Analysis |
| R-ABACUS | 1.0.0-lp153.20.2 | Apps Based Activities for Communicating and Understanding St |
| R-abasequence | 0.1.0-lp153.1.5 | Coding \'ABA\' Patterns for Sequence Data |
| R-abbreviate | 0.1-lp153.1.11 | Readable String Abbreviation |
| R-abbyyR | 0.5.5-lp153.13.5 | Access to Abbyy Optical Character Recognition (OCR) API |
| R-abc | 2.2.1-lp153.1.9 | Tools for Approximate Bayesian Computation (ABC) |
| R-abc.data | 1.1-lp153.2.2 | Data Only: Tools for Approximate Bayesian Computation (ABC) |
| R-ABC.RAP | 0.9.0-lp153.2.13 | Array Based CpG Region Analysis Pipeline |
| R-ABCanalysis | 1.2.1-lp153.2.13 | Computed ABC Analysis |
| R-abcdeFBA | 0.4-lp153.10.11 | ABCDE_FBA: A-Biologist-Can-Do-Everything of Flux Balance Ana |
| R-ABCp2 | 1.2-lp153.2.13 | Approximate Bayesian Computational Model for Estimating P2 |
| R-abcrlda | 1.0.3-lp153.2.13 | Asymptotically Bias-Corrected Regularized Linear Discriminan |
| R-abctools | 1.1.7-lp153.5.2 | Tools for ABC Analyses |
| R-abd | 0.2.8-lp153.24.2 | The Analysis of Biological Data |
| R-abdiv | 0.2.0-lp153.4.7 | Alpha and Beta Diversity Measures |
| R-abe | 3.0.1-lp153.2.13 | Augmented Backward Elimination |
| R-abf2 | 0.7.1-lp153.2.20 | Load Gap-Free Axon ABF2 Files |
| R-abglasso | 0.1.1-lp153.1.12 | Adaptive Bayesian Graphical Lasso |
| R-ABHgenotypeR | 1.0.1-lp153.15.2 | Easy Visualization of ABH Genotypes |
| R-abind | 1.4.5-lp154.3.10 | Combine Multidimensional Arrays |
| R-abind | 1.4.5-3.30 | Combine Multidimensional Arrays |
| R-abind | 1.4.5-lp155.3.5 | Combine Multidimensional Arrays |
| R-abind | 1.4.5-3.38 | Combine Multidimensional Arrays |
| R-abind | 1.4.5-lp153.3.27 | Combine Multidimensional Arrays |
| R-abjData | 1.1.2-lp153.1.9 | Databases Used Routinely by the Brazilian Jurimetrics Associ |
| R-abjutils | 0.3.2-lp153.9.2 | Useful Tools for Jurimetrical Analysis Used by the Brazilian |
| R-ablasso | 1.0-lp153.2.2 | Arellano-Bond LASSO Estimator for Dynamic Linear Panel Model |
| R-abmR | 1.0.6-lp153.6.7 | Agent-Based Models in R |
| R-abnormality | 0.1.0-lp153.2.13 | Measure a Subject\'s Abnormality with Respect to a Reference |
| R-abodOutlier | 0.1-lp153.2.13 | Angle-Based Outlier Detection |
| R-ABPS | 0.3-lp153.2.13 | The Abnormal Blood Profile Score to Detect Blood Doping |
| R-abseil | 2023.8.2.1-lp153.1.5 | \'C++\' Header Files from \'Abseil\' |
| R-abseil-devel | 2023.8.2.1-lp153.1.5 | Development files for Abseil |
| R-AbSim | 0.2.6-lp153.2.13 | Time Resolved Simulations of Antibody Repertoires |
| R-absorber | 1.0-lp153.2.2 | Variable Selection in Nonparametric Models using B-Splines |
| R-abstr | 0.4.1-lp153.7.2 | R Interface to the A/B Street Transport System Simulation So |
| R-ABSurvTDC | 0.1.0-lp153.3.4 | Survival Analysis using Time Dependent Covariate for Animal |
| R-abundant | 1.2-lp153.1.11 | High-Dimensional Principal Fitted Components and Abundant Re |
| R-Ac3net | 1.2.2-lp153.2.13 | Inferring Directional Conservative Causal Core Gene Networks |
| R-ACA | 1.1-lp153.2.13 | Abrupt Change-Point or Aberration Detection in Point Series |
| R-AcademicThemes | 0.0.2-lp153.1.3 | Colour Plots with Palettes from Academic Institutions |
| R-academictwitteR | 0.3.1-lp153.11.2 | Access the Twitter Academic Research Product Track V2 API En |
| R-acca | 0.2-lp153.6.7 | A Canonical Correlation Analysis with Inferential Guaranties |
| R-AccelStab | 2.0.1-lp153.2.2 | Accelerated Stability Kinetic Modelling |
| R-AcceptanceSampling | 1.0.10-lp153.1.4 | Creation and evaluation of Acceptance Sampling Plans |
| R-accessibility | 1.4.0-lp153.3.2 | Transport Accessibility Measures |
| R-accessr | 1.0.1-lp153.2.2 | Command Line Tools to Produce Accessible Documents using \'R |
| R-accessrmd | 1.0.0-lp153.10.2 | Improving the Accessibility of \'rmarkdown\' Documents |
| R-ACCLMA | 1.0-lp153.2.13 | ACC & LMA Graph Plotting |
| R-accrual | 1.3-lp153.2.13 | Bayesian Accrual Prediction |
| R-accrualPlot | 1.0.7-lp153.6.7 | Accrual Plots and Predictions for Clinical Trials |
| R-accrued | 1.4.1-lp153.1.13 | Data Quality Visualization Tools for Partially Accruing Data |
| R-accSDA | 1.1.3-lp153.2.2 | Accelerated Sparse Discriminant Analysis |
| R-accucor | 0.3.1-lp153.2.2 | Natural Abundance Correction of Mass Spectrometer Data |
| R-accumulate | 0.9.3-lp153.1.5 | Split-Apply-Combine with Dynamic Groups |
| R-ACD | 1.5.3-lp153.2.13 | Categorical data analysis with complete or missing responses |
| R-ACDC | 1.0.0-lp153.9.5 | Analysis of Congruent Diversification Classes |
| R-acdcquery | 1.0.1-lp153.2.4 | Query the Attentional Control Data Collection |
| R-acdcR | 1.0.0-lp153.3.4 | Agro-Climatic Data by County |
| R-ACDm | 1.0.4.3-lp153.1.6 | Tools for Autoregressive Conditional Duration Models |
| R-ACE.CoCo | 0.1-lp153.1.5 | Analysis of Correlated High-Dimensional Expression (ACE) Dat |
| R-ace2fastq | 0.6.0-lp153.7.2 | ACE File to FASTQ Converter |
| R-aceEditor | 1.0.1-lp153.14.2 | The \'Ace\' Editor as a HTML Widget |
| R-ACEP | 0.0.22-lp153.1.5 | Analisis Computacional de Eventos de Protesta |
| R-acepack | 1.4.2-lp153.1.5 | ACE and AVAS for Selecting Multiple Regression Transformatio |
| R-acepack | 1.3_3.3-lp155.3.5 | ACE and AVAS for selecting regression transformations |
| R-acepack | 1.3_3.3-3.35 | ACE and AVAS for selecting regression transformations |
| R-acepack | 1.3_3.3-3.27 | ACE and AVAS for selecting regression transformations |
| R-acepack | 1.3_3.3-lp154.3.10 | ACE and AVAS for selecting regression transformations |
| R-acepack | 1.3_3.3-lp153.3.27 | ACE and AVAS for selecting regression transformations |
| R-ACEsimFit | 0.0.0.9-lp153.2.7 | ACE Kin Pair Data Simulations and Model Fitting |
| R-acfMPeriod | 1.0.0-lp153.2.13 | Robust Estimation of the ACF from the M-Periodogram |
| R-acid | 1.1-lp153.28.2 | Analysing Conditional Income Distributions |
| R-acled.api | 1.1.8-lp153.2.2 | Automated Retrieval of ACLED Conflict Event Data |
| R-acmeR | 1.1.0-lp153.2.13 | Implements ACME Estimator of Bird and Bat Mortality by Wind |
| R-acnr | 1.0.0-lp153.2.13 | Annotated Copy-Number Regions |
| R-acopula | 0.9.4-lp153.1.5 | Modelling Dependence with Multivariate Archimax (or any User |
| R-AcousticNDLCodeR | 1.0.2-lp153.2.13 | Coding Sound Files for Use with NDL |
| R-acp | 2.1-lp153.3.5 | Autoregressive Conditional Poisson |
| R-aCRM | 0.1.1-lp153.2.13 | Convenience functions for analytical Customer Relationship M |
| R-acroname | 0.1.0-lp153.13.2 | Engine for Acronyms and Initialisms |
| R-AcrossTic | 1.0.3-lp153.2.13 | A Cost-Minimal Regular Spanning Subgraph with TreeClust |
| R-acs | 1.2-1.61 | Toolkit from the US Census American Community Survey |
| R-acs | 1.2-lp153.1.23 | Toolkit from the US Census American Community Survey |
| R-acs | 1.2-1.24 | Toolkit from the US Census American Community Survey |
| R-acs | 2.1.4-lp153.7.2 | Download, Manipulate, and Present American Community Survey |
| R-ACSNMineR | 0.16.8.25-lp153.8.13 | Gene Enrichment Analysis from ACSN Maps or GMT Files |
| R-acss | 0.2.5-lp153.2.13 | Algorithmic Complexity for Short Strings |
| R-acss.data | 1.0-lp153.2.13 | Data Only: Algorithmic Complexity of Short Strings (Computed |
| R-ACSWR | 1.0-lp153.2.13 | A Companion Package for the Book \"A Course in Statistics wi |
| R-act | 1.3.1-lp153.3.2 | Aligned Corpus Toolkit |
| R-ActCR | 0.3.0-lp153.15.2 | Extract Circadian Rhythms Metrics from Actigraphy Data |
| R-ActFrag | 0.1.1-lp153.31.2 | Activity Fragmentation Metrics Extracted from Minute Level A |
| R-Actigraphy | 1.4.0-lp153.2.13 | Actigraphy Data Analysis |
| R-actilifecounts | 1.1.1-lp153.2.5 | Generate Activity Counts from Raw Accelerometer Data |
| R-ActiveDriver | 1.0.0-lp153.2.13 | Finding Cancer Driver Proteins with Enriched Mutations in Po |
| R-activity | 1.3.4-lp153.1.5 | Animal Activity Statistics |
| R-activityCounts | 0.1.2-lp153.11.8 | Generate ActiLife Counts |
| R-activityGCMM | 1.1.1-lp153.1.12 | Circular Mixed Effect Mixture Models of Animal Activity Patt |
| R-ActivityIndex | 0.3.7-lp153.1.13 | Activity Index Calculation using Raw \'Accelerometry\' Data |
| R-activpalProcessing | 1.0.2-lp153.2.13 | Process activPAL Events Files |
| R-actLifer | 1.0.0-lp153.1.4 | Creating Actuarial Life Tables |
| R-actogrammr | 0.2.3-lp153.19.2 | Read in Activity Data and Plot Actograms |
| R-actuar | 3.3.4-lp153.1.4 | Actuarial Functions and Heavy Tailed Distributions |
| R-ActuarialM | 0.1.0-lp153.1.5 | Computation of Actuarial Measures Using Bell G Family |
| R-actuaryr | 1.1.1-lp153.15.7 | Develop Actuarial Models |
| R-actxps | 0.2.0-lp153.4.7 | Create Actuarial Experience Studies: Prepare Data, Summarize |
| R-ACWR | 0.1.0-lp153.13.2 | Acute Chronic Workload Ratio Calculation |
| R-ada | 2.0_3-lp154.2.10 | ada: an R package for stochastic boosting |
| R-ada | 2.0.5-lp153.2.13 | The R Package Ada for Stochastic Boosting |
| R-ada | 2.0_3-2.38 | ada: an R package for stochastic boosting |
| R-ada | 2.0_3-lp155.2.5 | ada: an R package for stochastic boosting |
| R-ada | 2.0_3-lp153.2.23 | ada: an R package for stochastic boosting |
| R-ada | 2.0_3-2.25 | ada: an R package for stochastic boosting |
| R-adabag | 4.3-lp153.1.5 | Applies Multiclass AdaBoost.M1, SAMME and Bagging |
| R-adace | 1.0.2-lp153.2.2 | Estimator of the Adherer Average Causal Effect |
| R-adagio | 0.9.2-lp153.1.4 | Discrete and Global Optimization Routines |
| R-adamethods | 1.2.1-lp153.26.5 | Archetypoid Algorithms and Anomaly Detection |
| R-AdapEnetClass | 1.2-lp153.5.11 | A Class of Adaptive Elastic Net Methods for Censored Data |
| R-AdapSamp | 1.1.1-lp153.2.13 | Adaptive Sampling Algorithms |
| R-adapt4pv | 0.2.3-lp153.1.5 | Adaptive Approaches for Signal Detection in Pharmacovigilanc |
| R-adaptalint | 0.2.4-lp153.23.4 | Check Code Style Painlessly |
| R-adaptDiag | 0.1.0-lp153.2.7 | Bayesian Adaptive Designs for Diagnostic Trials |
| R-AdaptFit | 0.2.2-lp153.2.13 | Adaptive Semiparametic Regression |
| R-AdaptFitOS | 0.69-lp153.1.8 | Adaptive Semiparametric Additive Regression with Simultaneou |
| R-adaptivetau | 2.3.1-lp153.2.2 | Tau-Leaping Stochastic Simulation |
| R-adaptMCMC | 1.5-lp153.1.4 | Implementation of a Generic Adaptive Monte Carlo Markov Chai |
| R-adaptMT | 1.0.0-lp153.2.13 | Adaptive P-Value Thresholding for Multiple Hypothesis Testin |
| R-adaptr | 1.4.0-lp153.2.2 | Adaptive Trial Simulator |
| R-adaptTest | 1.2-lp153.1.5 | Adaptive Two-Stage Tests |
| R-adbi | 0.1.1-lp153.1.4 | \'DBI\' Compliant Database Access Using \'ADBC\' |
| R-adc | 1.0.0-lp153.1.7 | Calculate Antecedent Discharge Conditions |
| R-ADCT | 0.1.0-lp153.2.13 | Adaptive Design in Clinical Trials |
| R-add2ggplot | 0.3.0-lp153.7.7 | Add to \'ggplot2\' |
| R-addhaz | 0.5-lp153.2.13 | Binomial and Multinomial Additive Hazard Models |
| R-addhazard | 1.1.0-lp153.2.13 | Fit Additive Hazards Models for Survival Analysis |
| R-addinsJoaoMelo | 0.1.0-lp153.16.2 | Addins Made of Joao Melo |
| R-addinslist | 0.5.0-lp153.7.2 | Discover and Install Useful RStudio Addins |
| R-addinsOutline | 0.1.6-lp153.25.2 | \'RStudio\' Addins for Show Outline of a R Markdown/\'LaTeX\ |
| R-additive | 1.0.1-lp153.2.2 | Bindings for Additive TidyModels |
| R-additiveDEA | 1.1-lp153.3.7 | Additive Data Envelopment Analysis Models |
| R-additivityTests | 1.1.4.2-lp153.2.2 | Additivity Tests in the Two Way Anova with Single Sub-Class |
| R-addreg | 3.0-lp153.4.11 | Additive Regression for Discrete Data |
| R-addScales | 1.0.1-lp153.2.13 | Adds Labeled Center Line and Scale Lines/Regions to Trellis |
| R-ADDT | 2.0-lp153.3.7 | Analysis of Accelerated Destructive Degradation Test Data |
| R-ade4TkGUI | 0.3.1-lp153.8.7 | \'ade4\' Tcl/Tk Graphical User Interface |
| R-adea | 1.3.1-lp153.12.4 | Alternate DEA Package |
| R-adegenet | 2.1.10-lp153.9.2 | Exploratory Analysis of Genetic and Genomic Data |
| R-adegenet | 2.1.3-lp153.1.14 | Exploratory Analysis of Genetic and Genomic Data |
| R-adegraphics | 1.0.21-lp153.1.5 | An S4 Lattice-Based Package for the Representation of Multiv |
| R-adephylo | 1.1.16-lp153.4.2 | Exploratory Analyses for the Phylogenetic Comparative Method |
| R-adept | 1.2-lp153.28.2 | Adaptive Empirical Pattern Transformation |
| R-adeptdata | 1.1-lp153.1.12 | Accelerometry Data Sets |
| R-AdequacyModel | 2.0.0-lp153.2.13 | Adequacy of Probabilistic Models and General Purpose Optimiz |
| R-ADER | 1.5-lp153.1.4 | Data analysis in ecology |
| R-adfExplorer | 0.1.8-lp153.2.2 | Import from and Export to Amiga Disk Files |
| R-adformR | 0.1.0-lp153.2.7 | Get Adform Ads Data via the \'Windsor.ai\' API |
| R-ADGofTest | 0.3-lp153.2.13 | Anderson-Darling GoF test |
| R-adhoc | 1.1-lp153.11.11 | Calculate Ad Hoc Distance Thresholds for DNA Barcoding Ident |
| R-adiv | 2.2-lp153.10.5 | Analysis of Diversity |
| R-AdjBQR | 1.0-lp153.4.11 | Adjusted Bayesian Quantile Regression Inference |
| R-adjclust | 0.5.99-lp153.2.13 | Adjacency-Constrained Clustering of a Block-Diagonal Similar |
| R-adjROC | 0.3-lp153.3.4 | Computing Sensitivity at a Fix Value of Specificity and Vice |
| R-adjustedcranlogs | 0.1.0-lp153.13.4 | Remove Automated and Repeated Downloads from \'RStudio\' \'C |
| R-adklakedata | 0.6.1-lp153.2.12 | Adirondack Long-Term Lake Data |
| R-adlift | 1.4.5-lp153.1.5 | An adaptive lifting scheme algorithm |
| R-ADLP | 0.1.0-lp153.2.2 | Accident and Development Period Adjusted Linear Pools for Ac |
| R-admiral.test | 0.7.0-lp153.1.5 | Test Data for the \'admiral\' Package |
| R-admiraldev | 1.1.0-lp153.1.2 | Utility Functions and Development Tools for the Admiral Pack |
| R-AdMit | 2.1.9-lp153.1.11 | Adaptive Mixture of Student-t Distributions |
| R-admixr | 0.9.1-lp153.14.2 | An Interface for Running \'ADMIXTOOLS\' Analyses |
| R-admixturegraph | 1.0.2-lp153.9.12 | Admixture Graph Manipulation and Fitting |
| R-admmDensestSubmatrix | 0.1.0-lp153.4.13 | Alternating Direction Method of Multipliers to Solve Dense D |
| R-ADMUR | 1.0.3-lp153.5.4 | Ancient Demographic Modelling Using Radiocarbon |
| R-adobeanalyticsr | 0.4.0-lp153.3.2 | R Client for \'Adobe Analytics\' API 2.0 |
| R-ADP | 0.1.6-lp153.1.12 | Adoption Probability, Triers and Users Rate of a New Product |
| R-ADPclust | 0.7-lp153.21.5 | Fast Clustering Using Adaptive Density Peak Detection |
| R-ADPF | 0.0.1-lp153.2.13 | Use Least Squares Polynomial Regression and Statistical Test |
| R-adsDataHubR | 0.1.1-lp153.5.7 | Google Ads Data Hub API Client |
| R-ADTSA | 1.0.1-lp153.1.4 | Time Series Analysis |
| R-AdvancedBasketballStats | 1.0.1-lp153.1.13 | Advanced Basketball Statistics |
| R-AdvBinomApps | 1.0-lp153.2.13 | Upper Clopper-Pearson Confidence Limits for Burn-in Studies |
| R-advclust | 0.4-lp153.10.11 | Object Oriented Advanced Clustering |
| R-AdvDif4 | 0.7.18-lp153.2.13 | Solving 1D Advection Bi-Flux Diffusion Equation |
| R-ADVICE | 1.0-lp153.1.13 | Automatic Direct Variable Selection via Interrupted Coeffici |
| R-adw | 0.4.0-lp153.2.2 | Angular Distance Weighting Interpolation |
| R-adwave | 1.3-lp153.3.2 | Wavelet Analysis of Genomic Data from Admixed Populations |
| R-adwordsR | 0.3.1-lp153.4.8 | Access the \'Google Adwords\' API |
| R-aeddo | 0.1.1-lp153.2.2 | Automated and Early Detection of Disease Outbreaks |
| R-aedseo | 0.1.2-lp153.1.4 | Automated and Early Detection of Seasonal Epidemic Onset |
| R-aemo | 0.3.0-lp153.7.12 | Download and Process AEMO Price and Demand Data |
| R-AEP | 0.1.4-lp153.1.8 | Statistical Modelling for Asymmetric Exponential Power Distr |
| R-AeRobiology | 2.0.1-lp153.7.2 | A Computational Tool for Aerobiological Data |
| R-AF | 0.1.5-lp153.3.7 | Model-Based Estimation of Confounder-Adjusted Attributable F |
| R-afc | 1.4.0-lp153.2.13 | Generalized Discrimination Score |
| R-afcolours | 1.0.0-lp153.1.5 | Government Analysis Function Recommended Accessible Colour P |
| R-afdx | 1.1.1-lp153.10.2 | Diagnosis Performance Using Attributable Fraction |
| R-afex | 0.22.1-lp153.1.30 | Analysis of Factorial Experiments |
| R-AFFECT | 0.1.2-lp153.1.5 | Accelerated Functional Failure Time Model with Error-Contami |
| R-affinitymatrix | 0.1.0-lp153.28.2 | Estimation of Affinity Matrix |
| R-affyio | 1.48.0-lp154.2.10 | Tools for parsing Affymetrix data files |
| R-affyio | 1.48.0-lp153.2.23 | Tools for parsing Affymetrix data files |
| R-affyio | 1.48.0-lp155.2.5 | Tools for parsing Affymetrix data files |
| R-affyio | 1.48.0-2.38 | Tools for parsing Affymetrix data files |
| R-affyio | 1.48.0-2.30 | Tools for parsing Affymetrix data files |
| R-AFheritability | 0.1.0-lp153.20.2 | The Attributable Fraction (AF) Described as a Function of Di |
| R-AFM | 2.0-lp153.9.5 | Atomic Force Microscope Image Analysis |
| R-afmToolkit | 0.0.1-lp153.16.7 | Functions for Atomic Force Microscope Force-Distance Curves |
| R-afpt | 1.1.0.4-lp153.1.4 | Tools for Modelling of Animal Flight Performance |
| R-afthd | 1.1.0-lp153.6.11 | Accelerated Failure Time for High Dimensional Data with MCMC |
| R-aftR2 | 0.1.0-lp153.1.5 | R-Squared Measure under Accelerated Failure Time (AFT) Model |
| R-ag5Tools | 0.0.2-lp153.1.4 | Toolbox for Downloading and Extracting Copernicus AgERA5 Dat |
| R-AGD | 0.45.0-lp153.2.2 | Analysis of Growth Data |
| R-aGE | 0.0.9-lp153.3.13 | Adaptive Set-Based Gene-Environment Interaction Test for Rar |
| R-ageg | 1.0.0-lp153.1.7 | Age Grouping Functions |
| R-agfh | 0.2.1-lp153.2.4 | Agnostic Fay-Herriot Model for Small Area Statistics |
| R-agghoo | 0.1.0-lp153.1.5 | Aggregated Hold-Out Cross Validation |
| R-AggregateR | 0.1.1-lp153.12.5 | Aggregate Numeric, Date and Categorical Variables |
| R-aggregation | 1.0.1-lp153.2.13 | p-Value Aggregation Methods |
| R-AGHmatrix | 2.1.4-lp153.1.5 | Relationship Matrices for Diploid and Autopolyploid Species |
| R-aghq | 0.4.1-lp153.1.5 | Adaptive Gauss Hermite Quadrature for Bayesian Inference |
| R-aglm | 0.4.0-lp153.3.7 | Accurate Generalized Linear Model |
| R-agop | 0.2.4-lp153.1.4 | Aggregation Operators and Preordered Sets |
| R-agricolae | 1.3.7-lp153.1.5 | Statistical Procedures for Agricultural Research |
| R-agricolaeplotr | 0.3.1-lp153.5.4 | Visualization of Design of Experiments from the \'agricolae\ |
| R-agridat | 1.23-lp153.1.4 | Agricultural Datasets |
| R-agrifeature | 1.0.3-lp153.1.11 | Agriculture Image Feature |
| R-agriwater | 1.0.2-lp153.2.4 | Evapotranspiration and Energy Fluxes Spatial Analysis |
| R-agrmt | 1.42.12-lp153.1.4 | Calculate Concentration and Dispersion in Ordered Rating Sca |
| R-agroclim | 0.3.0-lp153.6.7 | Climatic Indices for Agriculture |
| R-agrostab | 0.1.0-lp153.16.7 | Stability Analysis for Agricultural Research |
| R-ags | 1.0.1-lp153.2.2 | Crosswalk Municipality and District Statistics in Germany |
| R-AGSDest | 2.3.4-lp153.1.11 | Estimation in Adaptive Group Sequential Trials |
| R-agsemisc | 1.3.1-lp153.2.13 | Miscellaneous plotting and utility functions |
| R-agvgd | 0.1.2-lp153.9.2 | An R Implementation of the \'Align-GVGD\' Method |
| R-ahaz | 1.15-lp153.1.9 | Regularization for Semiparametric Additive Hazards Regressio |
| R-ahnr | 0.3.1-lp153.20.2 | An Implementation of the Artificial Hydrocarbon Networks |
| R-ahp | 0.2.12-lp153.1.13 | Analytic Hierarchy Process |
| R-AHPGaussian | 0.1.1-lp153.2.2 | New Multicriteria Method: AHPGaussian |
| R-AHPhybrid | 0.1.0-lp153.1.13 | AHP Hybrid Method |
| R-ahpsurvey | 0.4.1-lp153.26.2 | Analytic Hierarchy Process for Survey Data |
| R-ahptopsis2n | 0.2.0-lp153.1.13 | Hybrid Method for Multiple Criteria Decision-Making (MCDM) |
| R-AHSurv | 0.1.0-lp153.1.9 | Flexible Parametric Accelerated Hazards Models |
| R-ahw | 0.1.0-lp153.3.2 | Calculates Continuous Time Likelihood Ratio Weights Assuming |
| R-aidar | 1.0.5-lp153.3.12 | Tools for Reading AIDA Files |
| R-aif360 | 0.1.0-lp153.7.5 | Help Detect and Mitigate Bias in Machine Learning Models |
| R-AIG | 0.1.9-lp153.23.7 | Automatic Item Generator |
| R-AIM | 1.01-lp153.1.13 | AIM: adaptive index model |
| R-aimPlot | 1.0.0-lp153.14.5 | Create Pie Like Plot for Completeness |
| R-aimsir17 | 0.0.2-lp153.11.5 | Irish Weather Observing Stations Hourly Records for 2017 |
| R-AIPW | 0.6.3.2-lp153.7.5 | Augmented Inverse Probability Weighting |
| R-airGR | 1.7.6-lp153.1.5 | Suite of GR Hydrological Models for Precipitation-Runoff Mod |
| R-airGRdatasets | 0.2.1-lp153.1.5 | Hydro-Meteorological Catchments Datasets for the \'airGR\' P |
| R-airGRdatassim | 0.1.3-lp153.1.13 | Ensemble-Based Data Assimilation with GR Hydrological Models |
| R-airGRiwrm | 0.6.2-lp153.7.2 | \'airGR\' Integrated Water Resource Management |
| R-aiRly | 0.1.0-lp153.12.2 | R Wrapper for \'Airly\' API |
| R-airnow | 0.1.0-lp153.3.4 | Retrieve \'AirNow\' Air Quality Observations and Forecasts |
| R-airportr | 0.1.3-lp153.13.7 | Convenience Tools for Working with Airport Data |
| R-airports | 0.1.0-lp153.2.13 | Data on Airports |
| R-airqualityES | 1.0.0-lp153.11.5 | Air Quality Measurements in Spain from 2011 to 2018 |
| R-airr | 1.5.0-lp153.2.2 | AIRR Data Representation Reference Library |
| R-aiRthermo | 1.2.1-lp153.2.13 | Atmospheric Thermodynamics and Visualization |
| R-Ake | 1.0.1-lp153.1.9 | Associated Kernel Estimations |
| R-akiFlagger | 0.3.0-lp153.13.2 | Flags Acute Kidney Injury (AKI) |
| R-akima | 0.6.3.4-lp153.1.9 | Interpolation of Irregularly and Regularly Spaced Data |
| R-akmbiclust | 0.1.0-lp153.2.13 | Alternating K-Means Biclustering |
| R-akmeans | 1.1-lp153.2.13 | Adaptive Kmeans algorithm based on threshold |
| R-akmedoids | 1.3.0-lp153.23.5 | Anchored Kmedoids for Longitudinal Data Clustering |
| R-alabama | 2023.1.0-lp153.1.5 | Constrained Nonlinear Optimization |
| R-albatross | 0.3.8-lp153.2.2 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrice |
| R-albopictus | 0.5-lp153.2.13 | Age-Structured Population Dynamics Model |
| R-ald | 1.3.1-lp153.1.13 | The Asymmetric Laplace Distribution |
| R-ALDqr | 1.0-lp153.5.9 | Quantile Regression Using Asymmetric Laplace Distribution |
| R-ALEPlot | 1.1-lp153.2.13 | Accumulated Local Effects (ALE) Plots and Partial Dependence |
| R-alfr | 1.2.1-lp153.7.2 | Connectivity to \'Alfresco\' Content Management Repositories |
| R-alfred | 0.2.1-lp153.2.2 | Downloading Time Series from ALFRED Database for Various Vin |
| R-AlgDesign | 1.1_7.2-lp155.2.5 | Algorithmic Experimental Design |
| R-AlgDesign | 1.1_7.2-lp153.2.25 | Algorithmic Experimental Design |
| R-AlgDesign | 1.1_7.2-lp154.2.10 | Algorithmic Experimental Design |
| R-AlgDesign | 1.1_7.2-2.32 | Algorithmic Experimental Design |
| R-AlgDesign | 1.1_7.2-2.38 | Algorithmic Experimental Design |
| R-AlgebraicHaploPackage | 1.2-lp153.2.13 | Haplotype Two Snips Out of a Paired Group of Patients |
| R-algo | 0.1.0-lp153.8.2 | Implement an Address Search Auto Completion Menu on \'Shiny\ |
| R-algorithmia | 0.3.0-lp153.3.12 | Allows you to Easily Interact with the Algorithmia Platform |
| R-align | 0.1.0-lp153.1.5 | A Modified DTW Algorithm for Stratigraphic Time Series Align |
| R-alignfigR | 0.1.1-lp153.9.11 | Visualizing Multiple Sequence Alignments with \'ggplot2\' |
| R-alineR | 1.1.4-lp153.2.13 | Alignment of Phonetic Sequences Using the \'ALINE\' Algorith |
| R-allan | 1.01-lp153.2.13 | Automated Large Linear Analysis Node |
| R-allcontributors | 0.2.0-lp153.2.2 | Acknowledge all Contributors to a Project |
| R-alleHap | 0.9.9-lp153.2.13 | Allele Imputation and Haplotype Reconstruction from Pedigree |
| R-allelematch | 2.5.4-lp153.2.2 | Identifying Unique Multilocus Genotypes where Genotyping Err |
| R-AlleleRetain | 2.0.2-lp153.2.13 | Allele Retention, Inbreeding, and Demography |
| R-AlleleShift | 1.1-lp153.12.5 | Predict and Visualize Population-Level Changes in Allele Fre |
| R-allelic | 0.1-lp153.2.13 | A fast, unbiased and exact allelic exact test |
| R-allestimates | 0.2.3-lp153.3.2 | Effect Estimates from All Models |
| R-allhomes | 0.3.0-lp153.2.8 | Extract Past Sales Data from Allhomes.com.au |
| R-AllMetrics | 0.2.1-lp153.2.2 | Calculating Multiple Performance Metrics of a Prediction Mod |
| R-allofus | 1.1.0-lp153.2.2 | Interface for \'All of Us\' Researcher Workbench |
| R-allometric | 2.3.0-lp153.1.3 | Structured Allometric Models for Trees |
| R-allomr | 0.3.0-lp153.1.4 | Removing Allometric Effects of Body Size in Morphological An |
| R-AllPossibleSpellings | 1.1-lp153.2.13 | Computes all of a word\'s possible spellings. |
| R-Allspice | 1.0.7-lp153.1.7 | RNA-Seq Profile Classifier |
| R-alluvial | 0.1.2-lp153.2.13 | Alluvial Diagrams |
| R-alookr | 0.3.2-lp153.2.12 | Model Classifier for Binary Classification |
| R-aloom | 0.1.1-lp153.1.4 | All Leave-One-Out Models |
| R-alpha.correction.bh | 0.0.1-lp153.2.5 | Benjamini-Hochberg Alpha Correction |
| R-alphaci | 1.0.1-lp153.1.4 | Confidence Intervals for Coefficient Alpha and Standardized |
| R-alphaN | 0.1.0-lp153.1.7 | Set Alpha Based on Sample Size Using Bayes Factors |
| R-alphaOutlier | 1.2.0-lp153.4.11 | Obtain Alpha-Outlier Regions for Well-Known Probability Dist |
| R-alphashape3d | 1.3.2-lp153.3.5 | Implementation of the 3D Alpha-Shape for the Reconstruction |
| R-alphastable | 0.2.1-lp153.2.13 | Inference for Stable Distribution |
| R-AlphaVantageClient | 0.0.1-lp153.3.12 | Wrapper for Alpha Vantage API |
| R-ALSCPC | 1.0-lp153.2.13 | Accelerated line search algorithm for simultaneous orthogona |
| R-ALSM | 0.2.0-lp153.27.4 | Companion to Applied Linear Statistical Models |
| R-altadata | 0.1.1-lp153.3.12 | API Wrapper for Altadata.io |
| R-altair | 4.2.3-lp153.6.2 | Interface to \'Altair\' |
| R-AlteredPQR | 0.1.0-lp153.1.5 | Detection of Altered Protein Quantitative Relationships |
| R-altfuelr | 0.1.0-lp153.19.2 | Provides an Interface to the NREL Alternate Fuels Locator |
| R-ALTopt | 0.1.2-lp153.3.7 | Optimal Experimental Designs for Accelerated Life Testing |
| R-amanpg | 0.3.4-lp153.1.8 | Alternating Manifold Proximal Gradient Method for Sparse PCA |
| R-amap | 0.8_12-1.38 | Another Multidimensional Analysis Package |
| R-amap | 0.8_12-lp155.1.5 | Another Multidimensional Analysis Package |
| R-amap | 0.8_12-lp153.1.23 | Another Multidimensional Analysis Package |
| R-amap | 0.8_12-1.31 | Another Multidimensional Analysis Package |
| R-amap | 0.8_12-lp154.1.10 | Another Multidimensional Analysis Package |
| R-AMAP.Seq | 1.0-lp153.2.13 | Compare Gene Expressions from 2-Treatment RNA-Seq Experiment |
| R-amapGeocode | 0.6.0-lp153.13.2 | An Interface to the \'AutoNavi Maps\' API Geocoding Services |
| R-amapro | 0.1.3-lp153.8.2 | Thin Wrapper for Mapping Library \'AMap\' |
| R-AMAPVox | 2.2.1-lp153.2.2 | LiDAR Data Voxelisation |
| R-amazonadsR | 0.1.0-lp153.1.7 | Get Amazon Ads Data via the \'Windsor.ai\' API |
| R-amazons3R | 0.1.0-lp153.2.7 | Get Amazon S3 Data via the \'Windsor.ai\' API |
| R-amazonspR | 0.1.0-lp153.1.7 | Get Amazon Sp Data via the \'Windsor.ai\' API |
| R-amber | 1.0.3-lp153.3.12 | Automated Model Benchmarking R Package |
| R-ambhasGW | 0.0.2-lp153.5.7 | Ground Water Modelling |
| R-ambiorix | 2.1.0-lp153.1.10 | Web Framework Inspired by \'Express.js\' |
| R-AMCP | 1.0.2-lp153.1.2 | A Model Comparison Perspective |
| R-AMCTestmakeR | 1.0.0-lp153.2.13 | Generate LaTeX Code for Auto-Multiple-Choice (AMC) |
| R-ameco | 0.2.9-lp153.2.13 | European Commission Annual Macro-Economic (AMECO) Database |
| R-amelie | 0.2.1-lp153.2.13 | Anomaly Detection with Normal Probability Functions |
| R-amen | 1.4.5-lp153.1.4 | Additive and Multiplicative Effects Models for Networks and |
| R-AmericanCallOpt | 0.95-lp153.2.13 | This package includes pricing function for selected American |
| R-amerifluxr | 1.0.0-lp153.13.3 | Interface to \'AmeriFlux\' Data Services |
| R-amerika | 0.1.0-lp153.2.13 | American Politics-Inspired Color Palette Generator |
| R-AmesHousing | 0.0.4-lp153.13.7 | The Ames Iowa Housing Data |
| R-AMGET | 1.0-lp153.2.13 | Post-processing tool for ADAPT 5 |
| R-AmigaFFH | 0.4.5-lp153.2.2 | Commodore Amiga File Format Handler |
| R-AMIM | 1.0.0-lp153.1.5 | Compute the Adjusted Market Inefficiency Measure |
| R-aml | 0.1.1-lp153.2.13 | Adaptive Mixed LASSO |
| R-ammistability | 0.1.4-lp153.4.2 | Additive Main Effects and Multiplicative Interaction Model S |
| R-AmmoniaConcentration | 0.1-lp153.2.13 | Un-Ionized Ammonia Concentration |
| R-AMORE | 0.2.16-lp153.2.13 | Artificial Neural Network Training and Simulating |
| R-amp | 1.0.0-lp153.7.2 | Statistical Test for the Multivariate Point Null Hypotheses |
| R-ampd | 0.2-lp153.2.13 | An Algorithm for Automatic Peak Detection in Noisy Periodic |
| R-AMPLE | 1.0.2-lp153.3.2 | Shiny Apps to Support Capacity Building on Harvest Control R |
| R-AmpliconDuo | 1.1.1-lp153.14.5 | Statistical Analysis of Amplicon Data of the Same Sample to |
| R-AMR | 2.1.1-lp153.1.5 | Antimicrobial Resistance Data Analysis |
| R-AmyloGram | 1.1-lp153.19.2 | Prediction of Amyloid Proteins |
| R-analogsea | 0.5.0-1.24 | Interface to \'Digital Ocean\' |
| R-analogsea | 0.5.0-lp154.1.10 | Interface to \'Digital Ocean\' |
| R-analogsea | 0.5.0-lp155.1.5 | Interface to \'Digital Ocean\' |
| R-analogsea | 0.5.0-lp153.1.23 | Interface to \'Digital Ocean\' |
| R-analogsea | 1.0.7.2-lp153.1.5 | Interface to \'DigitalOcean\' |
| R-analogsea | 0.5.0-1.48 | Interface to \'Digital Ocean\' |
| R-analogueExtra | 0.1.1-lp153.16.7 | Additional Functions for Use with the Analogue Package |
| R-analysisPipelines | 1.0.2-lp153.13.8 | Compose Interoperable Analysis Pipelines & Put Them in Produ |
| R-analyz | 1.4-lp153.2.13 | Model Layer for Automatic Data Analysis via CSV File Interpr |
| R-analyzer | 1.0.1-lp153.16.7 | Data Analysis and Automated R Notebook Generation |
| R-anapuce | 2.3-lp153.2.13 | Tools for Microarray Data Analysis |
| R-AncestryMapper | 2.0-lp153.2.13 | Assigning Ancestry Based on Population References |
| R-AnchorRegression | 0.1.3-lp153.3.7 | Perform AnchorRegression |
| R-and | 0.1.5-lp153.1.5 | Construct Natural-Language Lists with Internationalization |
| R-AnDE | 1.0-lp153.3.13 | An extended Bayesian Learning Technique developed by Dr. Geo |
| R-andrews | 1.1.2-lp153.1.5 | Various Andrews Curves |
| R-andurinha | 0.0.2-lp153.18.2 | Make Spectroscopic Data Processing Easier |
| R-AnglerCreelSurveySimulation | 1.0.3-lp153.2.2 | Simulate a Bus Route Creel Survey of Anglers |
| R-anim.plots | 0.2.2-lp153.2.7 | Simple Animated Plots for R |
| R-animalEKF | 1.2-lp153.2.2 | Extended Kalman Filters for Animal Movement |
| R-AnimalHabitatNetwork | 0.1.0-lp153.14.4 | Networks Characterising the Physical Configurations of Anima |
| R-animalTrack | 1.0.0-lp153.16.7 | Animal track reconstruction for high frequency 2-dimensional |
| R-animaltracker | 0.2.0-lp153.22.5 | Animal Tracker |
| R-animate | 0.3.9.4-lp153.3.5 | A Web-Based Graphics Device for Animated Visualisations |
| R-animation | 2.7-lp153.2.7 | A Gallery of Animations in Statistics and Utilities to Creat |
| R-animbook | 1.0.0-lp153.4.2 | Visualizing Changes in Performance Measures and Demographic |
| R-animint2 | 2024.1.24-lp153.1.4 | Animated Interactive Grammar of Graphics |
| R-anipaths | 0.10.3-lp153.1.4 | Animation of Multiple Trajectories with Uncertainty |
| R-aniview | 0.1.0-lp153.8.2 | Animate Shiny and R Markdown Content when it Comes into View |
| R-anndata | 0.7.5.6-lp153.2.5 | \'anndata\' for R |
| R-annmatrix | 0.1.2-lp153.1.5 | Annotated Matrix: Matrices with Persistent Row and Column An |
| R-AnnoProbe | 0.1.5-lp153.1.12 | Annotate the Gene Symbols for Probes in Expression Array |
| R-annotater | 0.2.3-lp153.1.4 | Annotate Package Load Calls |
| R-AnnotationBustR | 1.3.0-lp153.9.7 | Extract Subsequences from GenBank Annotations |
| R-annotator | 0.0.3.1-lp153.5.2 | Image Annotation and Polygon Outlining using Free Drawing |
| R-AnnotLists | 1.2-lp153.2.13 | AnnotLists: A tool to annotate multiple lists from a specifi |
| R-anocva | 0.1.1-lp153.2.13 | A Non-Parametric Statistical Test to Compare Clustering Stru |
| R-ANOFA | 0.1.3-lp153.3.2 | Analyses of Frequency Data |
| R-ANOM | 0.5-lp153.16.7 | Analysis of Means |
| R-ANOPA | 0.1.3-lp153.3.2 | Analyses of Proportions using Anscombe Transform |
| R-ANOVAreplication | 1.1.5-lp153.5.7 | Test ANOVA Replications by Means of the Prior Predictive p-V |
| R-anovir | 0.1.0-lp153.2.13 | Analysis of Virulence |
| R-anscombiser | 1.1.0-lp153.1.8 | Create Datasets with Identical Summary Statistics |
| R-anthro | 1.0.1-lp153.3.2 | Computation of the WHO Child Growth Standards |
| R-anthroplus | 0.9.0-lp153.4.2 | Computation of the WHO 2007 References for School-Age Childr |
| R-AnthropMMD | 4.0.2-lp153.1.5 | An R Package for the Mean Measure of Divergence (MMD) |
| R-Anthropometry | 1.19-lp153.2.5 | Statistical Methods for Anthropometric Data |
| R-AntibodyTiters | 0.1.24-lp153.9.2 | Antibody Titer Analysis of Vaccinated Patients |
| R-antitrust | 0.99.26-lp153.1.8 | Tools for Antitrust Practitioners |
| R-AntWeb | 0.7-lp153.3.13 | programmatic interface to the AntWeb |
| R-AnxietySleep | 0.0.1-lp153.2.7 | Sleep Quality and Anxiety in Confinement |
| R-anybadger | 0.1.0-lp153.3.7 | Create Custom Pipeline Badges |
| R-ao | 0.2.7-lp153.1.5 | Alternating Optimization |
| R-aod | 1.3.3-lp153.1.4 | Analysis of Overdispersed Data |
| R-aods3 | 0.4.1.2-lp153.1.8 | Analysis of Overdispersed Data using S3 Methods |
| R-aof | 0.1.2-lp153.2.13 | Ontogenetic Shifts in Central-Place Foraging Insects |
| R-Aoptbdtvc | 0.0.3-lp153.1.4 | A-Optimal Block Designs for Comparing Test Treatments with C |
| R-aoristic | 1.1.1-lp153.7.2 | Generates Aoristic Probability Distributions |
| R-aos | 0.1.0-lp153.8.2 | Animate on Scroll Library for \'shiny\' |
| R-AOV1R | 0.1.0-lp153.12.7 | Inference in the Balanced One-Way ANOVA Model with Random Fa |
| R-ApacheLogProcessor | 0.2.3-lp153.7.2 | Process the Apache Web Server Log Files |
| R-apaText | 0.1.7-lp153.1.5 | Create R Markdown Text for Results in the Style of the Ameri |
| R-APCanalysis | 1.0-lp153.2.13 | Analysis of Unreplicated Orthogonal Experiments using All Po |
| R-apdesign | 1.0.0-lp153.2.13 | An Implementation of the Additive Polynomial Design Matrix |
| R-aPEAR | 1.0.0-lp153.4.2 | Advanced Pathway Enrichment Analysis Representation |
| R-apercu | 0.2.5-lp153.2.2 | Quick Look at your Data |
| R-apex | 1.0.6-lp153.3.2 | Phylogenetic Methods for Multiple Gene Data |
| R-APFr | 1.0.2-lp153.2.13 | Multiple Testing Approach using Average Power Function (APF) |
| R-APfun | 0.1.6-lp153.5.7 | Geo-Processing Helper Functions |
| R-api2lm | 0.2-lp153.1.5 | Functions and Data Sets for the Book \"A Progressive Introdu |
| R-aplore3 | 0.9-lp153.2.13 | Datasets from Hosmer, Lemeshow and Sturdivant, \"Applied Log |
| R-aplpack | 1.3.5-lp153.1.12 | Another Plot Package: \'Bagplots\', \'Iconplots\', \'Summary |
| R-aplpack | 1.3.0-lp154.1.10 | Another Plot PACKage: stem.leaf, bagplot, faces, spin3R, plo |
| R-aplpack | 1.3.0-1.38 | Another Plot PACKage: stem.leaf, bagplot, faces, spin3R, plo |
| R-aplpack | 1.3.0-lp153.1.25 | Another Plot PACKage: stem.leaf, bagplot, faces, spin3R, plo |
| R-aplpack | 1.3.0-1.26 | Another Plot PACKage: stem.leaf, bagplot, faces, spin3R, plo |
| R-aplpack | 1.3.0-lp155.1.5 | Another Plot PACKage: stem.leaf, bagplot, faces, spin3R, plo |
| R-apng | 1.1-lp153.1.13 | Convert Png Files into Animated Png |
| R-APPEstimation | 0.1.1-lp153.2.13 | Adjusted Prediction Model Performance Estimation |
| R-apple | 0.3-lp153.2.13 | Approximate Path for Penalized Likelihood Estimators |
| R-appleadsR | 0.1.0-lp153.1.7 | Get Apple Search Ads Data via the \'Windsor.ai\' API |
| R-appler | 0.2.1-lp153.2.4 | \'Apple App Store\' and \'iTunes\' Data Extraction |
| R-applicable | 0.1.1-lp153.2.2 | A Compilation of Applicability Domain Methods |
| R-AppliedPredictiveModeling | 1.1_6-lp153.1.23 | Functions and Data Sets for \'Applied Predictive Modeling\' |
| R-AppliedPredictiveModeling | 1.1_6-1.65 | Functions and Data Sets for \'Applied Predictive Modeling\' |
| R-AppliedPredictiveModeling | 1.1.7-lp153.7.2 | Functions and Data Sets for \'Applied Predictive Modeling\' |
| R-AppliedPredictiveModeling | 1.1_6-1.24 | Functions and Data Sets for \'Applied Predictive Modeling\' |
| R-appnn | 1.0.0-lp153.2.13 | Amyloid Propensity Prediction Neural Network |
| R-apportion | 0.0.1-lp153.1.7 | Apportion Seats |
| R-appRiori | 0.0.5-lp153.4.2 | Code and Obtain Customized Planned Comparisons with \'appRio |
| R-approximator | 1.2.8-lp153.1.5 | Bayesian Prediction of Complex Computer Codes |
| R-approxmatch | 2.0-lp153.2.13 | Approximately Optimal Fine Balance Matching with Multiple Gr |
| R-appsflyeR | 0.1.0-lp153.2.7 | Get Data from \'Appsflyer\' via the \'Windsor.ai\' API |
| R-appsheet | 0.1.0-lp153.2.4 | An Interface to the \'AppSheet\' API |
| R-aprean3 | 1.0.1-lp153.2.13 | Datasets from Draper and Smith \"Applied Regression Analysis |
| R-apricom | 1.0.0-lp153.13.12 | Tools for the a Priori Comparison of Regression Modelling St |
| R-APSIMBatch | 0.1.0.2374-lp153.2.13 | Analysis the output of Apsim software |
| R-apsrtable | 0.8.8-lp153.2.13 | apsrtable model-output formatter for social science |
| R-aptg | 0.1.1-lp153.2.12 | Automatic Phylogenetic Tree Generator |
| R-APtools | 6.8.8-lp153.2.13 | Average Positive Predictive Values (AP) for Binary Outcomes |
| R-apTreeshape | 1.5.0.1-lp153.6.7 | Analyses of Phylogenetic Treeshape |
| R-apyramid | 0.1.3-lp153.1.7 | Visualize Population Pyramids Aggregated by Age |
| R-AQLSchemes | 1.7.2-lp153.1.5 | Retrieving Acceptance Sampling Schemes |
| R-AquaBEHER | 0.1.0-lp153.2.4 | Estimation of Rainy Season Calendar and Soil Water Balance f |
| R-AquaBPsim | 0.0.1-lp153.11.5 | Aquaculture Breeding Program Simulation |
| R-AQuadtree | 1.0.4-lp153.1.5 | Confidentiality of Spatial Point Data |
| R-AquaEnv | 1.0.4-lp153.2.13 | Integrated Development Toolbox for Aquatic Chemical Model Ge |
| R-AquaticLifeHistory | 1.0.5-lp153.3.2 | Life History Analysis Tools |
| R-aquodom | 0.1.1-lp153.8.2 | Access to Aquo domaintables from R (Dutch) |
| R-AR | 1.1-lp153.2.13 | Another Look at the Acceptance-Rejection Method |
| R-ar.matrix | 0.1.0-lp153.2.13 | Simulate Auto Regressive Data from Precision Matricies |
| R-arabic2kansuji | 0.1.3-lp153.5.2 | Convert Arabic Numerals to Kansuji |
| R-arabicStemR | 1.3-lp153.1.8 | Arabic Stemmer for Text Analysis |
| R-arakno | 1.3.0-lp154.13.1 | ARAchnid KNowledge Online |
| R-arakno | 1.3.0-lp153.13.1 | ARAchnid KNowledge Online |
| R-arakno | 1.3.0-lp155.13.1 | ARAchnid KNowledge Online |
| R-ArArRedux | 1.0-lp153.2.13 | Rigorous Data Reduction and Error Propagation of Ar40 / Ar39 |
| R-aRbs | 0.1.3-lp153.4.12 | Find Arbitrage Opportunities for Sports Matches |
| R-arc | 1.4-lp153.1.5 | Association Rule Classification |
| R-arcgeocoder | 0.2.0-lp153.2.2 | Geocoding with the \'ArcGIS\' REST API Service |
| R-arcgis | 0.1.0-lp153.2.2 | ArcGIS Location Services Meta-Package |
| R-arcgislayers | 0.2.0-lp153.2.2 | An Interface to ArcGIS Data Services |
| R-ArchaeoPhases.dataset | 0.2.0-lp153.1.11 | Data Sets for \'ArchaeoPhases\' Vignettes |
| R-archdata | 1.2.1-lp153.1.13 | Example Datasets from Archaeological Research |
| R-archeofrag | 0.8.2-lp153.5.4 | Refitting and Spatial Analysis in Archaeology |
| R-archeoViz | 1.1.1-lp153.1.5 | Visualisation, Exploration, and Web Communication of Archaeo |
| R-archetypal | 1.3.1-lp153.2.2 | Finds the Archetypal Analysis of a Data Frame |
| R-archetypes | 2.2.0.1-lp153.2.13 | Archetypal Analysis |
| R-archiDART | 3.4-lp153.2.7 | Plant Root System Architecture Analysis Using DART and RSML |
| R-archiveRetriever | 0.4.0-lp153.1.2 | Retrieve Archived Web Pages from the \'Internet Archive\' |
| R-archivist.github | 0.2.6-lp153.13.4 | Tools for Archiving, Managing and Sharing R Objects via GitH |
| R-ArCo | 0.3.1-lp153.4.7 | Artificial Counterfactual Package |
| R-arcos | 1.27-lp153.5.12 | Load ARCOS Prescription Data Prepared by the Washington Post |
| R-arcpullr | 0.2.9-lp153.3.2 | Pull Data from an \'ArcGIS REST\' API |
| R-arcpy | 0.4.0-lp153.1.4 | Interface to \'ArcGIS\' \'Python\' Modules |
| R-arctools | 1.1.6-lp153.3.7 | Processing and Physical Activity Summaries of Minute Level A |
| R-ArDec | 2.1.1-lp153.1.9 | Time Series Autoregressive-Based Decomposition |
| R-ards | 0.1.1-lp153.1.5 | Creates Analysis Results Datasets |
| R-areabiplot | 1.0.0-lp153.1.13 | Area Biplot |
| R-areaplot | 2.1.2-lp153.1.4 | Plot Stacked Areas and Confidence Bands as Filled Polygons |
| R-arena2r | 1.0.0-lp153.21.2 | Plots, Summary Statistics and Tools for Arena Simulation Use |
| R-arf | 0.2.0-lp153.1.4 | Adversarial Random Forests |
| R-arfima | 1.8.1-lp153.1.8 | Fractional ARIMA (and Other Long Memory) Time Series Modelin |
| R-argo | 3.0.2-lp153.1.5 | Accurate Estimation of Influenza Epidemics using Google Sear |
| R-argoFloats | 1.0.7-lp153.1.5 | Analysis of Oceanographic Argo Floats |
| R-argon2 | 0.2.0-2.32 | Secure Password Hashing |
| R-argon2 | 0.4.0-lp153.1.12 | Secure Password Hashing |
| R-argon2 | 0.2.0-2.33 | Secure Password Hashing |
| R-argon2 | 0.2.0-lp153.2.24 | Secure Password Hashing |
| R-argon2 | 0.2.0-lp155.2.5 | Secure Password Hashing |
| R-argon2 | 0.2.0-lp154.2.10 | Secure Password Hashing |
| R-argonDash | 0.2.0-lp153.15.2 | Argon Shiny Dashboard Template |
| R-argonR | 0.2.0-lp153.8.2 | R Interface to Argon HTML Design |
| R-argosfilter | 0.70-lp153.1.8 | Argos locations filter |
| R-argparse | 2.2.3-lp153.2.2 | Command Line Optional and Positional Argument Parser |
| R-argparser | 0.7.2-lp153.2.2 | Command-Line Argument Parser |
| R-ArgumentCheck | 0.10.2-lp153.2.13 | Improved Communication to Users with Respect to Problems in |
| R-argus | 0.1.1-lp153.1.5 | Random Variate Generator for the Argus Distribution |
| R-ARHT | 0.1.0-lp153.2.13 | Adaptable Regularized Hotelling\'s T^2 Test for High-Dimensi |
| R-ari | 0.3.5-lp153.31.2 | Automated R Instructor |
| R-ARIbrain | 0.2-lp153.3.7 | All-Resolution Inference |
| R-arkdb | 0.0.18-lp153.1.4 | Archive and Unarchive Databases Using Flat Files |
| R-arnie | 0.1.2-lp153.2.13 | \"Arnie\" box office records 1982-2014 |
| R-AROC | 1.0.4-lp153.19.2 | Covariate-Adjusted Receiver Operating Characteristic Curve I |
| R-AROC | 1.0.4-19.2 | Covariate-Adjusted Receiver Operating Characteristic Curve I |
| R-aroma.apd | 0.7.0-lp153.1.5 | A Probe-Level Data File Format Used by \'aroma.affymetrix\' |
| R-Arothron | 2.0.5-lp153.2.5 | Geometric Morphometric Methods and Virtual Anthropology Tool |
| R-ARPALData | 1.3.1-lp153.1.5 | Retrieving, Managing and Analysing Air Quality and Weather D |
| R-ARPobservation | 1.2.2-lp153.1.5 | Tools for Simulating Direct Behavioral Observation Recording |
| R-arpr | 0.1.2-lp153.2.5 | Advanced R Pipes |
| R-aRpsDCA | 1.1.1-lp153.2.20 | Arps Decline Curve Analysis in R |
| R-arrangements | 1.1.8-lp154.2.10 | Fast Generators and Iterators for Permutations, Combinations |
| R-arrangements | 1.1.8-2.31 | Fast Generators and Iterators for Permutations, Combinations |
| R-arrangements | 1.1.8-lp155.2.5 | Fast Generators and Iterators for Permutations, Combinations |
| R-arrangements | 1.1.8-lp153.2.23 | Fast Generators and Iterators for Permutations, Combinations |
| R-arrangements | 1.1.8-2.31 | Fast Generators and Iterators for Permutations, Combinations |
| R-arrangements | 1.1.9-lp153.3.12 | Fast Generators and Iterators for Permutations, Combinations |
| R-arrayhelpers | 1.1.0-lp153.2.23 | Convenience Functions for Arrays |
| R-arrayhelpers | 1.1.0-2.26 | Convenience Functions for Arrays |
| R-arrayhelpers | 1.1.0-lp154.2.10 | Convenience Functions for Arrays |
| R-arrayhelpers | 1.1.0-2.24 | Convenience Functions for Arrays |
| R-arrayhelpers | 1.1.0-lp153.2.13 | Convenience Functions for Arrays |
| R-arrayhelpers | 1.1.0-lp155.2.5 | Convenience Functions for Arrays |
| R-arrowheadr | 1.0.1-lp153.1.2 | Make Custom Arrowheads |
| R-arse | 1.0.0-lp153.13.7 | Area of Resilience to Stress Event |
| R-arsenal | 3.6.3-lp153.7.5 | An Arsenal of \'R\' Functions for Large-Scale Statistical Su |
| R-artfima | 1.5-lp153.2.13 | ARTFIMA Model Estimation |
| R-arthistory | 0.1.0-lp153.1.9 | Art History Textbook Data |
| R-ARTofR | 0.4.1-lp153.8.2 | To Insert Title, Divider, and Block of Comments |
| R-ARTP2 | 0.9.45-lp153.2.13 | Pathway and Gene-Level Association Test |
| R-artpack | 0.1.0-lp153.2.2 | Creates Generative Art Data |
| R-arules | 1.1_5-lp154.2.10 | Mining Association Rules and Frequent Itemsets |
| R-arules | 1.1_5-2.36 | Mining Association Rules and Frequent Itemsets |
| R-arules | 1.1_5-lp155.2.5 | Mining Association Rules and Frequent Itemsets |
| R-arules | 1.1_5-2.38 | Mining Association Rules and Frequent Itemsets |
| R-arules | 1.1_5-lp153.2.26 | Mining Association Rules and Frequent Itemsets |
| R-arulesCBA | 1.2.7-lp153.2.2 | Classification Based on Association Rules |
| R-arulesSequences | 0.2_6-lp153.2.23 | Mining frequent sequences |
| R-arulesSequences | 0.2_6-2.30 | Mining frequent sequences |
| R-arulesSequences | 0.2_6-lp155.2.5 | Mining frequent sequences |
| R-arulesSequences | 0.2_6-lp154.2.10 | Mining frequent sequences |
| R-arulesSequences | 0.2_6-2.38 | Mining frequent sequences |
| R-arulesViz | 1.5.3-lp153.1.2 | Visualizing Association Rules and Frequent Itemsets |
| R-arulesViz | 0.1_9-2.62 | Visualizing Association Rules and Frequent Itemsets |
| R-arulesViz | 0.1_9-2.24 | Visualizing Association Rules and Frequent Itemsets |
| R-arulesViz | 0.1_9-lp153.2.23 | Visualizing Association Rules and Frequent Itemsets |
| R-aRxiv | 0.10-lp153.2.2 | Interface to the arXiv API |
| R-asaur | 0.50-lp153.2.13 | Data Sets for \"Applied Survival Analysis Using R\"\" |
| R-ascentTraining | 1.0.0-lp153.1.9 | Ascent Training Datasets |
| R-ascii | 2.6-lp153.1.4 | Export R objects to several markup languages |
| R-asciichartr | 0.1.0-lp153.2.13 | Lightweight ASCII Line Graphs |
| R-asciiruler | 0.2-lp153.7.2 | Render an ASCII Ruler |
| R-ascotraceR | 0.0.1-lp153.7.4 | Simulate the Spread of Ascochyta Blight in Chickpea |
| R-asd | 2.2-lp153.2.13 | Simulations for Adaptive Seamless Designs |
| R-asdreader | 0.1.3-lp153.2.13 | Reading ASD Binary Files in R |
| R-ASGS.foyer | 0.3.3-lp153.1.4 | Interface to the Australian Statistical Geography Standard |
| R-ash | 1.0.15-lp153.2.13 | David Scott\'s ASH routines |
| R-AsioHeaders | 1.22.1.2-lp153.2.7 | \'Asio\' C++ Header Files |
| R-AsioHeaders-devel | 1.22.1.2-lp153.2.7 | Development files for AsioHeaders |
| R-ASIP | 0.4.9-lp153.7.7 | Automated Satellite Image Processing |
| R-askgpt | 0.1.3-lp153.1.5 | Asking GPT About R Stuff |
| R-asm | 0.2.0-lp153.2.2 | Optimal Convex M-Estimation for Linear Regression via Antito |
| R-ASMap | 1.0.7-lp153.1.4 | Linkage Map Construction using the MSTmap Algorithm |
| R-asnipe | 1.1.17-lp153.1.5 | Animal Social Network Inference and Permutations for Ecologi |
| R-aspace | 4.1.2-lp153.2.2 | Functions for Estimating Centrographic Statistics |
| R-aSPC | 0.1.2-lp153.4.7 | An Adaptive Sum of Powered Correlation Test (aSPC) for Globa |
| R-aspect | 1.0.6-lp153.1.9 | A General Framework for Multivariate Analysis with Optimal S |
| R-aspi | 0.2.0-lp153.2.13 | Analysis of Symmetry of Parasitic Infections |
| R-aSPU | 1.50-lp153.9.5 | Adaptive Sum of Powered Score Test |
| R-ASSA | 2.0-lp153.2.12 | Applied Singular Spectrum Analysis (ASSA) |
| R-assemblerr | 0.1.1-lp153.1.11 | Assembly of Pharmacometric Models |
| R-assert | 1.0.1-lp153.2.13 | Validate Function Arguments |
| R-assertable | 0.2.8-lp153.1.13 | Verbose Assertions for Tabular Data (Data.frames and Data.ta |
| R-assertions | 0.1.0-lp153.1.5 | Simple Assertions for Beautiful and Customisable Error Messa |
| R-assertive | 0.3.6-lp153.9.5 | Readable Check Functions to Ensure Code Integrity |
| R-assertive.base | 0.0.9-lp153.1.13 | A Lightweight Core of the \'assertive\' Package |
| R-assertive.code | 0.0.4-lp153.1.5 | Assertions to Check Properties of Code |
| R-assertive.data | 0.0.3-lp153.5.5 | Assertions to Check Properties of Data |
| R-assertive.data.uk | 0.0.2-lp153.5.5 | Assertions to Check Properties of Strings |
| R-assertive.data.us | 0.0.2-lp153.5.5 | Assertions to Check Properties of Strings |
| R-assertive.datetimes | 0.0.3-lp153.2.13 | Assertions to Check Properties of Dates and Times |
| R-assertive.files | 0.0.2-lp153.2.13 | Assertions to Check Properties of Files |
| R-assertive.matrices | 0.0.2-lp153.2.13 | Assertions to Check Properties of Matrices |
| R-assertive.models | 0.0.2-lp153.2.13 | Assertions to Check Properties of Models |
| R-assertive.numbers | 0.0.2-lp153.2.13 | Assertions to Check Properties of Numbers |
| R-assertive.properties | 0.0.5-lp153.1.9 | Assertions to Check Properties of Variables |
| R-assertive.reflection | 0.0.5-lp153.2.13 | Assertions for Checking the State of R |
| R-assertive.sets | 0.0.3-lp153.2.13 | Assertions to Check Properties of Sets |
| R-assertive.strings | 0.0.3-lp153.5.5 | Assertions to Check Properties of Strings |
| R-assertive.types | 0.0.3-lp153.2.13 | Assertions to Check Types of Variables |
| R-assertr | 3.0.1-lp153.1.4 | Assertive Programming for R Analysis Pipelines |
| R-assertthat | 0.2.1-1.36 | Easy Pre and Post Assertions |
| R-assertthat | 0.2.1-lp155.1.5 | Easy Pre and Post Assertions |
| R-assertthat | 0.2.1-lp154.1.10 | Easy Pre and Post Assertions |
| R-assertthat | 0.2.1-1.30 | Easy Pre and Post Assertions |
| R-assertthat | 0.2.1-lp153.1.28 | Easy Pre and Post Assertions |
| R-assertthat | 0.2.1-lp153.2.13 | Easy Pre and Post Assertions |
| R-assessor | 1.1.0-lp153.2.2 | Assessment Tools for Regression Models with Discrete and Sem |
| R-AssetCorr | 1.0.3-lp153.10.13 | Estimating Asset Correlations from Default Data |
| R-AssetPricing | 1.0.3-lp153.1.12 | Optimal Pricing of Assets with Fixed Expiry Date |
| R-assignR | 2.4.1-lp153.2.2 | Infer Geographic Origin from Isotopic Data |
| R-assist | 3.1.9-lp153.1.5 | A Suite of R Functions Implementing Spline Smoothing Techniq |
| R-ASSISTant | 1.4.3-lp153.5.5 | Adaptive Subgroup Selection in Group Sequential Trials |
| R-AssocAFC | 1.0.2-lp153.2.13 | Allele Frequency Comparison |
| R-assocInd | 1.0.1-lp153.2.13 | Implements New and Existing Association Indices for Construc |
| R-ASSOCShiny | 0.1.0-lp153.11.8 | Interactive Document for Working with Association Rule Minin |
| R-AssocTests | 1.0.1-lp153.4.7 | Genetic Association Studies |
| R-assortnet | 0.20-lp153.1.5 | Calculate the Assortativity Coefficient of Weighted and Bina |
| R-AssotesteR | 0.1.10-lp153.2.13 | Statistical Tests for Genetic Association Studies |
| R-AST | 0.1.0-lp153.2.13 | Age-Spatial-Temporal Model |
| R-aster | 1.1.3-lp153.1.4 | Aster Models |
| R-AsthmaNHANES | 1.1.0-lp153.1.13 | Asthma Data Sets from NHANES |
| R-astrodatR | 0.1-lp153.2.13 | Astronomical Data |
| R-astroFns | 4.2.1-lp153.1.9 | Astronomy: Time and Position Functions, Misc. Utilities |
| R-astrolibR | 0.1-lp153.2.13 | Astronomy Users Library |
| R-astsa | 2.1-lp153.1.4 | Applied Statistical Time Series Analysis |
| R-asus | 1.5.0-lp153.1.5 | Adaptive SURE Thresholding Using Side Information |
| R-asVPC | 1.0.2-lp153.9.11 | Average Shifted Visual Predictive Checks |
| R-AsyK | 1.5.5-lp153.1.11 | Kernel Density Estimation |
| R-asylum | 1.1.2-lp153.1.4 | Data on Asylum and Resettlement for the UK |
| R-asymLD | 0.1-lp153.2.13 | Asymmetric Linkage Disequilibrium (ALD) for Polymorphic Gene |
| R-AsymmetricSORDs | 1.0.0-lp153.1.9 | Asymmetric Second Order Rotatable Designs (AsymmetricSORDs) |
| R-asymmetry | 2.0.4-lp153.17.5 | Multidimensional Scaling of Asymmetric Proximities |
| R-asymmetry.measures | 0.2-lp153.5.9 | Asymmetry Measures for Probability Density Functions |
| R-asympTest | 0.1.4-lp153.2.13 | A Simple R Package for Classical Parametric Statistical Test |
| R-asymptor | 1.1.0-lp153.1.8 | Estimate Asymptomatic Cases via Capture/Recapture Methods |
| R-AsynchLong | 2.3-lp153.1.4 | Regression Analysis of Sparse Asynchronous Longitudinal Data |
| R-asypow | 2015.6.25-lp153.2.13 | Calculate Power Utilizing Asymptotic Likelihood Ratio Method |
| R-ata | 1.1.1-lp153.2.13 | Automated Test Assembly |
| R-ATbounds | 0.1.0-lp153.1.11 | Bounding Treatment Effects by Limited Information Pooling |
| R-ATE | 0.2.0-lp153.2.13 | Inference for Average Treatment Effects using Covariate Bala |
| R-AteMeVs | 0.1.0-lp153.1.5 | Average Treatment Effects with Measurement Error and Variabl |
| R-atime | 2024.3.5-lp153.1.3 | Asymptotic Timing |
| R-AtlasMaker | 0.1.0-lp153.7.2 | Make Multiple \'leaflet\' Maps in \'Shiny\' |
| R-atmcmc | 1.0-lp153.2.13 | Automatically Tuned Markov Chain Monte Carlo |
| R-ATmet | 1.2.1-lp153.14.8 | Advanced Tools for Metrology |
| R-atmopt | 0.1.0-lp153.5.8 | Analysis-of-Marginal-Tail-Means |
| R-AtmRay | 1.31-lp153.2.13 | Acoustic Traveltime Calculations for 1-D Atmospheric Models |
| R-atpolR | 0.1.1-lp153.5.4 | ATPOL Grid Implementation |
| R-ATR | 0.1.1-lp153.2.13 | Alternative Tree Representation |
| R-atRisk | 0.1.0-lp153.1.5 | At-Risk |
| R-aTSA | 3.1.2.1-lp153.1.4 | Alternative Time Series Analysis |
| R-atsd | 1.2.0-lp153.4.8 | Support Querying Axibase Time-Series Database |
| R-attempt | 0.3.1-lp153.3.5 | Tools for Defensive Programming |
| R-attention | 0.4.0-lp153.1.4 | Self-Attention Algorithm |
| R-attenuation | 1.0.0-lp153.2.13 | Correcting for Attenuation Due to Measurement Error |
| R-atus | 0.2-lp153.2.13 | American Time Use Survey Data |
| R-AUC | 0.3.2-lp153.1.10 | Threshold independent performance measures for probabilistic |
| R-AUCRF | 1.1-lp153.2.13 | Variable Selection with Random Forest and the Area Under the |
| R-auctestr | 1.0.0-lp153.15.2 | Statistical Testing for AUC Data |
| R-auctionr | 0.1.0-lp153.2.13 | Estimate First-Price Auction Model |
| R-audio | 0.1.11-lp153.1.5 | Audio Interface for R |
| R-audiolyzR | 0.4.9-lp153.3.12 | audiolyzR: Give your data a listen |
| R-audiometry | 0.3.0-lp153.7.5 | Standard Conform Pure Tone Audiometry (PTA) Plots |
| R-audit | 0.1.2-lp153.1.12 | Bounds for Accounting Populations |
| R-auditor | 1.3.5-lp153.1.4 | Model Audit - Verification, Validation, and Error Analysis |
| R-AugmenterR | 0.1.0-lp153.1.13 | Data Augmentation for Machine Learning on Tabular Data |
| R-auk | 0.7.0-lp153.2.2 | eBird Data Extraction and Processing in R |
| R-aurelius | 0.8.4-lp153.3.11 | Generates PFA Documents from R Code and Optionally Runs Them |
| R-AurieLSHGaussian | 0.2.0-lp153.11.4 | Creates a Neighbourhood Using Locality Sensitive Hashing for |
| R-ausplotsR | 2.0.5-lp153.3.2 | TERN AusPlots Australian Ecosystem Monitoring Data |
| R-AustralianPoliticians | 0.1.0-lp153.8.5 | Provides Datasets About Australian Politicians |
| R-auth0 | 0.2.3-lp153.4.2 | Authentication in Shiny with Auth0 |
| R-autocogs | 0.1.4-lp153.9.2 | Automatic Cognostic Summaries |
| R-autoCovariateSelection | 1.0.0-lp153.14.7 | Automated Covariate Selection Using HDPS Algorithm |
| R-autoencoder | 1.1-lp153.2.13 | Sparse Autoencoder for Automatic Learning of Representative |
| R-autoharp | 0.0.10-lp153.23.2 | Semi-Automatic Grading of R and Rmd Scripts |
| R-autohd | 0.1.0-lp153.7.9 | High Dimensional Bayesian Survival Mediation Analysis |
| R-autohrf | 1.1.3-lp153.1.4 | Automated Generation of Data-Informed GLM Models in Task-Bas |
| R-autoimage | 2.2.3-lp153.10.5 | Multiple Heat Maps for Projected Coordinates |
| R-autokeras | 1.0.12-lp153.13.5 | R Interface to \'AutoKeras\' |
| R-automagic | 0.5.1-lp153.16.7 | Automagically Document and Install Packages Necessary to Run |
| R-automl | 1.3.2-lp153.2.13 | Deep Learning with Metaheuristic |
| R-automultinomial | 2.0.0-lp153.2.13 | Models for Spatially Correlated Data |
| R-autonewsmd | 0.0.6-lp153.5.3 | Auto-Generate Changelog using Conventional Commits |
| R-autoplotly | 0.1.4-lp153.22.2 | Automatic Generation of Interactive Visualizations for Stati |
| R-Autoplotprotein | 1.1-lp153.8.7 | Development of Visualization Tools for Protein Sequence |
| R-AutoregressionMDE | 1.0-lp153.2.13 | Minimum Distance Estimation in Autoregressive Model |
| R-autoScorecard | 0.3.0-lp153.1.5 | Fully Automatic Generation of Scorecards |
| R-AutoSEARCH | 1.5-lp153.2.13 | General-to-Specific (GETS) Modelling |
| R-Autoseed | 0.1.0-lp153.2.13 | Retrieve Disease-Related Genes from Public Sources |
| R-autoshiny | 0.0.3-lp153.4.2 | Automatic Transformation of an \'R\' Function into a \'shiny |
| R-autota | 0.1.3-lp153.4.12 | Auto TA |
| R-AutoTransQF | 0.1.3-lp153.1.5 | A Novel Automatic Shifted Log Transformation |
| R-AutoWeatherIndices | 0.1.0-lp153.16.2 | Calculating Weather Indices |
| R-available | 1.1.0-lp153.7.2 | Check if the Title of a Package is Available, Appropriate an |
| R-averisk | 1.0.3-lp153.2.13 | Calculation of Average Population Attributable Fractions and |
| R-avesperu | 0.0.2-lp153.2.2 | Access to the List of Birds Species of Peru |
| R-avfintools | 0.1.0-lp153.9.5 | Financial Analysis Tools Using Data from \'Alpha Vantager\' |
| R-AVGAS | 0.1.0-lp153.1.4 | A Variable Selection using Genetic Algorithms |
| R-AvInertia | 0.0.2-lp153.11.2 | Calculate the Inertial Properties of a Flying Bird |
| R-aVirtualTwins | 1.0.1-lp153.2.12 | Adaptation of Virtual Twins Method from Jared Foster |
| R-avocado | 0.1.0-lp153.2.13 | Weekly Hass Avocado Sales Summary |
| R-AWAPer | 0.1.46-lp153.2.12 | Catchment Area Weighted Climate Data Anywhere in Australia |
| R-aweek | 1.0.3-lp153.1.8 | Convert Dates to Arbitrary Week Definitions |
| R-aweSOM | 1.3-lp153.15.3 | Interactive Self-Organizing Maps |
| R-awinR | 0.1.0-lp153.2.7 | Get Data from \'Awin\' via the \'Windsor.ai\' API |
| R-aws.alexa | 0.1.8-lp153.13.7 | Client for the Amazon Alexa Web Information Services API |
| R-aws.comprehend | 0.2.1-lp153.3.12 | Client for \'AWS Comprehend\' |
| R-aws.ec2metadata | 0.2.0-lp153.2.13 | Get EC2 Instance Metadata |
| R-aws.ecx | 1.0.5-lp153.2.4 | Communicating with AWS EC2 and ECS using AWS REST APIs |
| R-aws.iam | 0.1.8-lp153.4.4 | AWS IAM Client Package |
| R-aws.kms | 0.1.4-lp153.3.12 | \'AWS Key Management Service\' Client Package |
| R-aws.lambda | 0.2.0-lp153.3.12 | AWS Lambda Client Package |
| R-aws.polly | 0.1.5-lp153.3.12 | Client for AWS Polly |
| R-aws.s3 | 0.3.21-lp153.4.4 | \'AWS S3\' Client Package |
| R-aws.signature | 0.6.0-lp153.2.13 | Amazon Web Services Request Signatures |
| R-aws.transcribe | 0.1.3-lp153.3.12 | Client for \'AWS Transcribe\' |
| R-aws.translate | 0.1.4-lp153.3.12 | Client for \'AWS Translate\' |
| R-aws.wrfsmn | 0.0.3-lp153.2.2 | Data Processing of SMN Hi-Res Weather Forecast from \'AWS\' |
| R-awsMethods | 1.1.1-lp153.2.13 | Class and Methods Definitions for Packages \'aws\', \'adimpr |
| R-axisandallies | 0.1.0-lp153.1.4 | Axis and Allies Spring |
| R-AZIAD | 0.0.3-lp153.2.2 | Analyzing Zero-Inflated and Zero-Altered Data |
| R-aziztest | 0.2.1-lp153.2.13 | Novel Statistical Test for Aberration Enrichment |
| R-azlogr | 0.0.6-lp153.2.2 | Logging in \'R\' and Post to \'Azure Log Analytics\' Workspa |
| R-AzureAppInsights | 0.3.1-lp153.3.2 | Include Azure Application Insights in Shiny Apps |
| R-AzureAuth | 1.3.3-lp153.1.12 | Authentication Services for Azure Active Directory |
| R-AzureCognitive | 1.0.1-lp153.3.12 | Interface to Azure Cognitive Services |
| R-AzureContainers | 1.3.2-lp153.1.12 | Interface to \'Container Instances\', \'Docker Registry\' an |
| R-AzureCosmosR | 1.0.0-lp153.5.5 | Interface to the \'Azure Cosmos DB\' \'NoSQL\' Database Serv |
| R-AzureGraph | 1.3.4-lp153.1.5 | Simple Interface to \'Microsoft Graph\' |
| R-AzureKeyVault | 1.0.5-lp153.1.12 | Key and Secret Management in \'Azure\' |
| R-AzureKusto | 1.1.3-lp153.2.2 | Interface to \'Kusto\'/\'Azure Data Explorer\' |
| R-azuremlsdk | 1.10.0-lp153.29.2 | Interface to the \'Azure Machine Learning\' \'SDK\' |
| R-AzureQstor | 1.0.1-lp153.7.5 | Interface to \'Azure Queue Storage\' |
| R-AzureRMR | 2.4.4-lp153.1.5 | Interface to \'Azure Resource Manager\' |
| R-AzureStor | 3.7.0-lp153.3.5 | Storage Management in \'Azure\' |
| R-AzureTableStor | 1.0.0-lp153.6.5 | Interface to the Table Storage Service in \'Azure\' |
| R-AzureVision | 1.0.2-lp153.3.12 | Interface to Azure Computer Vision Services |
| R-AzureVM | 2.2.2-lp153.3.12 | Virtual Machines in \'Azure\' |
| R-AzureVMmetadata | 1.0.1-lp153.3.12 | Interface to Azure Virtual Machine Instance Metadata |
| R-b6e6rl | 1.1-lp153.2.13 | Adaptive differential evolution, b6e6rl variant |
| R-babar | 1.0-lp153.2.13 | Bayesian Bacterial Growth Curve Analysis in R |
| R-babelgene | 22.9-lp153.3.7 | Gene Orthologs for Model Organisms in a Tidy Data Format |
| R-babelwhale | 1.2.0-lp153.4.2 | Talking to \'Docker\' and \'Singularity\' Containers |
| R-babsim.hospital | 11.8.8-lp153.20.3 | Bartz & Bartz Simulation Hospital |
| R-babynames | 1.0.1-lp153.6.5 | US Baby Names 1880-2017 |
| R-babynamesIL | 0.0.2-lp153.1.4 | Israel Baby Names 1948-2022 |
| R-BACCO | 2.0.9-lp153.3.7 | Bayesian Analysis of Computer Code Output (BACCO) |
| R-BACCT | 1.0-lp153.13.2 | Bayesian Augmented Control for Clinical Trials |
| R-bacistool | 1.0.0-lp153.2.12 | Bayesian Classification and Information Sharing (BaCIS) Tool |
| R-backpipe | 0.2.3-lp153.2.13 | Backward Pipe (Right-to-Left) Operator |
| R-backports | 1.1.1-4.38 | Reimplementations of Functions Introduced Since R-3.0.0 |
| R-backports | 1.1.1-lp154.4.10 | Reimplementations of Functions Introduced Since R-3.0.0 |
| R-backports | 1.1.1-lp155.4.5 | Reimplementations of Functions Introduced Since R-3.0.0 |
| R-backports | 1.1.1-4.35 | Reimplementations of Functions Introduced Since R-3.0.0 |
| R-backports | 1.1.1-lp153.4.28 | Reimplementations of Functions Introduced Since R-3.0.0 |
| R-backports | 1.5.0-lp153.2.2 | Reimplementations of Functions Introduced Since R-3.0.0 |
| R-backShift | 0.1.4.3-lp153.14.4 | Learning Causal Cyclic Graphs from Unknown Shift Interventio |
| R-backtest | 0.3.4-lp153.2.13 | Exploring portfolio-based conjectures about financial instru |
| R-bacondecomp | 0.1.1-lp153.2.13 | Goodman-Bacon Decomposition |
| R-BACprior | 2.1.1-lp153.1.5 | Choice of Omega in the BAC Algorithm |
| R-bacr | 1.0.1-lp153.4.11 | Bayesian Adjustment for Confounding |
| R-badgecreatr | 0.2.0-lp153.3.11 | Create Badges for \'Travis\', \'Repostatus\' \'Codecov.io\' |
| R-BAEssd | 1.0.1-lp153.2.13 | Bayesian Average Error approach to Sample Size Determination |
| R-baf | 0.0.1-lp153.1.2 | Block Assignment Files |
| R-baffle | 0.2.2-lp153.1.5 | Make Waffle Plots with Base Graphics |
| R-bagged.outliertrees | 1.0.0-lp153.8.7 | Robust Explainable Outlier Detection Based on OutlierTree |
| R-baggedcv | 1.0-lp153.2.13 | Bagged Cross-Validation for Kernel Density Bandwidth Selecti |
| R-BAGofT | 1.0.0-lp153.2.7 | A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT) |
| R-bagyo | 0.1.1-lp153.2.2 | Philippine Tropical Cyclones Data |
| R-bahc | 0.3.0-lp153.2.13 | Filter Covariance and Correlation Matrices with Bootstrapped |
| R-bain | 0.2.11-lp153.1.2 | Bayes Factors for Informative Hypotheses |
| R-baizer | 0.8.0-lp153.4.2 | Useful Functions for Data Processing |
| R-balance | 0.2.4-lp153.8.13 | Visualize Balances of Compositional Data |
| R-BalanceCheck | 0.2-lp153.7.7 | Balance Check for Multiple Covariates in Matched Observation |
| R-Ball | 1.3.13-lp153.1.7 | Statistical Inference and Sure Independence Screening via Ba |
| R-bambooHR | 0.1.1-lp153.2.2 | A Wrapper to the \'BambooHR\' API |
| R-bamp | 2.1.3-lp153.1.8 | Bayesian Age-Period-Cohort Modeling and Prediction |
| R-bandicoot | 1.0.0-lp153.2.2 | Light-Weight \'python\'-Like Object-Oriented System |
| R-bandit | 0.5.1-lp153.1.8 | Functions for Simple a/B Split Test and Multi-Armed Bandit A |
| R-bandsfdp | 1.1.0-lp153.1.5 | Compute Upper Prediction Bounds on the FDP in Competition-Ba |
| R-banffIT | 1.0.0-lp153.2.2 | Automatize Diagnosis Standardized Assignation Using the Banf |
| R-bangladesh | 1.0.0-lp153.5.7 | Provides Ready to Use Shapefiles for Geographical Map of Ban |
| R-bannerCommenter | 1.0.0-lp153.1.13 | Make Banner Comments with a Consistent Format |
| R-banR | 0.2.2-lp153.3.13 | R Client for the BAN API |
| R-banxicoR | 0.9.0-lp153.13.4 | Download Data from the Bank of Mexico |
| R-BaPreStoPro | 0.1-lp153.2.13 | Bayesian Prediction of Stochastic Processes |
| R-BAR | 0.1.1-lp153.1.7 | Bayesian Adaptive Randomization |
| R-BarBorGradient | 1.0.5-lp153.2.13 | Function Minimum Approximator |
| R-barcode | 1.3.0-lp153.1.9 | Render Barcode Distribution Plots |
| R-baRcodeR | 0.1.7-lp153.15.2 | Label Creation for Tracking and Collecting Data from Biologi |
| R-BarcodingR | 1.0.3-lp153.4.7 | Species Identification using DNA Barcodes |
| R-bardr | 0.0.9-lp153.1.12 | Complete Works of William Shakespeare in Tidy Format |
| R-BARIS | 1.1.3-lp153.9.7 | Access and Import Data from the French Open Data Portal |
| R-Barnard | 1.8-lp153.2.13 | Barnard\'s Unconditional Test |
| R-barplot3d | 1.0.1-lp153.16.7 | Create 3D Barplots |
| R-barsurf | 0.7.0-lp153.1.12 | Contour Plots, 3D Plots, Vector Fields and Heatmaps |
| R-base-java | 1-6.24 | Provide java dependencies for R |
| R-base.rms | 1.0-lp153.35.2 | Convert Regression Between Base Function and \'rms\' Package |
| R-base2grob | 0.0.3-lp153.8.13 | Convert Base Plot to \'grob\' Object |
| R-base64enc | 0.1.4-6.36 | Tools for base64 encoding in GNU R |
| R-base64enc | 0.1.4-lp154.6.10 | Tools for base64 encoding in GNU R |
| R-base64enc | 0.1.4-lp155.6.5 | Tools for base64 encoding in GNU R |
| R-base64enc | 0.1.3-lp153.2.13 | Tools for base64 encoding |
| R-base64enc | 0.1.4-lp153.6.28 | Tools for base64 encoding in GNU R |
| R-base64enc | 0.1.4-6.31 | Tools for base64 encoding in GNU R |
| R-base64url | 1.4-lp153.2.13 | Fast and URL-Safe Base64 Encoder and Decoder |
| R-baseballDBR | 0.1.2-lp153.15.7 | Sabermetrics and Advanced Baseball Statistics |
| R-baseballr | 1.6.0-lp153.1.4 | Acquiring and Analyzing Baseball Data |
| R-basedosdados | 0.2.2-lp153.2.4 | \'Base Dos Dados\' R Client |
| R-basefun | 1.1.4-lp153.1.5 | Infrastructure for Computing with Basis Functions |
| R-baseline | 1.3.5-lp153.1.4 | Baseline Correction of Spectra |
| R-basemaps | 0.0.7-lp153.2.2 | Accessing Spatial Basemaps in R |
| R-basemodels | 1.1.0-lp153.1.5 | Baseline Models for Classification and Regression |
| R-baseq | 0.1.4-lp153.1.5 | Basic Sequence Processing Tool for Biological Data |
| R-BaseSet | 0.9.0-lp153.1.5 | Working with Sets the Tidy Way |
| R-BaseTempSeed | 0.1.0-lp153.1.5 | Estimation of Seed Germination Base Temperature in Thermal M |
| R-basetheme | 0.1.3-lp153.1.5 | Themes for Base Graphics Plots |
| R-basf | 0.2.0-lp153.16.4 | Plot Simple Features with \'base\' Sensibilities |
| R-basicdrm | 0.3.0-lp153.2.2 | Fit Hill Dose Response Models |
| R-basicMCMCplots | 0.2.7-lp153.1.11 | Trace Plots, Density Plots and Chain Comparisons for MCMC Sa |
| R-basicspace | 0.24-lp153.2.13 | Recovering a Basic Space from Issue Scales |
| R-basictabler | 1.0.2-lp153.19.2 | Construct Rich Tables for Output to \'HTML\'/\'Excel\' |
| R-basicTrendline | 2.0.5-lp153.3.12 | Add Trendline and Confidence Interval of Basic Regression Mo |
| R-basifoR | 0.4-lp153.20.2 | Retrieval and Processing of the Spanish National Forest Inve |
| R-BASIX | 1.2-lp153.1.9 | An Efficient C/C++ Toolset for R |
| R-BaSkePro | 1.1.1-lp153.1.4 | Bayesian Model to Archaeological Faunal Skeletal Profiles |
| R-basket | 0.10.11-lp153.15.2 | Basket Trial Analysis |
| R-basksim | 1.0.0-lp153.3.2 | Simulation-Based Calculation of Basket Trial Operating Chara |
| R-BASS | 1.3.1-lp153.1.5 | Bayesian Adaptive Spline Surfaces |
| R-bastah | 1.0.7-lp153.4.7 | Big Data Statistical Analysis for High-Dimensional Models |
| R-batade | 0.1-lp153.2.13 | HTML reports and so on |
| R-batata | 0.2.1-lp153.5.7 | Managing Packages Removal and Installation |
| R-batch | 1.1.5-lp153.2.13 | Batching Routines in Parallel and Passing Command-Line Argum |
| R-BatchExperiments | 1.4.3-lp153.7.2 | Statistical Experiments on Batch Computing Clusters |
| R-BatchGetSymbols | 2.6.4-lp153.11.4 | Downloads and Organizes Financial Data for Multiple Tickers |
| R-BatchJobs | 1.9-lp153.7.2 | Batch Computing with R |
| R-batchmeans | 1.0.4-lp153.2.13 | Consistent Batch Means Estimation of Monte Carlo Standard Er |
| R-batchr | 0.0.1-lp153.2.12 | Batch Process Files |
| R-batchscr | 0.1.0-lp153.2.13 | Batch Script Helpers |
| R-batchtools | 0.9.17-lp153.3.2 | Tools for Computation on Batch Systems |
| R-BaTFLED3D | 0.2.11-lp153.2.13 | Bayesian Tensor Factorization Linked to External Data |
| R-batsch | 0.1.1-lp153.2.2 | Real-Time PCR Data Sets by Batsch et al. (2008) |
| R-batteryreduction | 0.1.1-lp153.2.13 | An R Package for Data Reduction by Battery Reduction |
| R-BAwiR | 1.2.7-lp153.17.5 | Analysis of Basketball Data |
| R-baycn | 1.2.0-lp153.14.4 | Bayesian Inference for Causal Networks |
| R-bayefdr | 0.2.1-lp153.9.2 | Bayesian Estimation and Optimisation of Expected False Disco |
| R-bayesanova | 1.6-lp153.2.2 | Bayesian Inference in the Analysis of Variance via Markov Ch |
| R-bayesassurance | 0.1.0-lp153.17.2 | Bayesian Assurance Computation |
| R-BayesBEKK | 0.1.1-lp153.1.7 | Bayesian Estimation of Bivariate Volatility Model |
| R-BayesBinMix | 1.4.1-lp153.2.13 | Bayesian Estimation of Mixtures of Multivariate Bernoulli Di |
| R-bayesbio | 1.0.0-lp153.2.13 | Miscellaneous Functions for Bioinformatics and Bayesian Stat |
| R-bayesboot | 0.2.2-lp153.3.7 | An Implementation of Rubin\'s (1981) Bayesian Bootstrap |
| R-BayesBP | 1.1-lp153.7.2 | Bayesian Estimation using Bernstein Polynomial Fits Rate Mat |
| R-BayesCombo | 1.0-lp153.2.13 | Bayesian Evidence Combination |
| R-bayescount | 0.9.99.9-lp153.1.4 | Power Calculations and Bayesian Analysis of Count Distributi |
| R-BayesCR | 2.1-lp153.3.9 | Bayesian Analysis of Censored Regression Models Under Scale |
| R-bayesCT | 0.99.3-lp153.20.7 | Simulation and Analysis of Adaptive Bayesian Clinical Trials |
| R-BayesCTDesign | 0.6.1-lp153.8.2 | Two Arm Bayesian Clinical Trial Design with and Without Hist |
| R-BayesDA | 2012.04.1-lp153.2.13 | Functions and Datasets for the book \"Bayesian Data Analysis |
| R-bayesDccGarch | 3.0.4-lp153.1.5 | Methods and Tools for Bayesian Dynamic Conditional Correlati |
| R-BayesDesign | 0.1.1-lp153.1.13 | Bayesian Single-Arm Design with Survival Endpoints |
| R-BayesDIP | 0.1.1-lp153.1.7 | Bayesian Decreasingly Informative Priors for Early Terminati |
| R-BayesDissolution | 0.2.1-lp153.2.2 | Bayesian Models for Dissolution Testing |
| R-bayesdistreg | 0.1.0-lp153.2.13 | Bayesian Distribution Regression |
| R-BayesFactor | 0.9.12.4.2-2.36 | Computation of Bayes factors for common designs |
| R-BayesFactor | 0.9.12.4.2-2.30 | Computation of Bayes factors for common designs |
| R-BayesFluxR | 0.1.3-lp153.1.4 | Implementation of Bayesian Neural Networks |
| R-BayesFM | 0.1.7-lp153.1.2 | Bayesian Inference for Factor Modeling |
| R-BayesFM | 0.1.7-lp155.1.1 | Bayesian Inference for Factor Modeling |
| R-BayesFM | 0.1.7-lp154.1.1 | Bayesian Inference for Factor Modeling |
| R-bayesGARCH | 2.1.10-lp153.1.12 | Bayesian Estimation of the GARCH(1,1) Model with Student-t I |
| R-BayesGESM | 1.4-lp153.2.13 | Bayesian Analysis of Generalized Elliptical Semi-Parametric |
| R-BayesGOF | 5.2-lp153.2.13 | Bayesian Modeling via Frequentist Goodness-of-Fit |
| R-BayesGPfit | 1.1.0-lp153.1.8 | Fast Bayesian Gaussian Process Regression Fitting |
| R-BayesGWQS | 0.1.1-lp153.4.2 | Bayesian Grouped Weighted Quantile Sum Regression |
| R-BayesianAnimalTracker | 1.2-lp153.4.11 | Bayesian Melding of GPS and DR Path for Animal Tracking |
| R-bayesianETAS | 1.0.3-lp153.2.13 | Bayesian Estimation of the ETAS Model for Earthquake Occurre |
| R-Bayesiangammareg | 0.1.0-lp153.2.13 | Bayesian Gamma Regression: Joint Mean and Shape Modeling |
| R-BayesianGLasso | 0.2.0-lp153.2.13 | Bayesian Graphical Lasso |
| R-BayesianLaterality | 0.1.2-lp153.2.2 | Predict Brain Asymmetry Based on Handedness and Dichotic Lis |
| R-BayesianNetwork | 0.3-lp153.6.3 | Bayesian Network Modeling and Analysis |
| R-BayesianPower | 0.2.3-lp153.2.13 | Sample Size and Power for Comparing Inequality Constrained H |
| R-BayesianReasoning | 0.4.1-lp153.9.7 | Plot Positive and Negative Predictive Values for Medical Tes |
| R-Bayesiantreg | 1.0.1-lp153.1.4 | Bayesian t Regression for Modeling Mean and Scale Parameters |
| R-BayesLCA | 1.9-lp153.13.5 | Bayesian Latent Class Analysis |
| R-bayeslincom | 1.3.0-lp153.7.5 | Linear Combinations of Bayesian Posterior Samples |
| R-BayesLogit | 2.1-lp153.2.12 | PolyaGamma Sampling |
| R-bayesloglin | 1.0.1-lp153.5.5 | Bayesian Analysis of Contingency Table Data |
| R-bayeslongitudinal | 0.1.0-lp153.2.13 | Adjust Longitudinal Regression Models Using Bayesian Methodo |
| R-bayesm | 3.1.3-1.30 | Bayesian Inference for Marketing/Micro-Econometrics |
| R-bayesm | 3.1.3-lp153.1.23 | Bayesian Inference for Marketing/Micro-Econometrics |
| R-bayesm | 3.1.3-1.66 | Bayesian Inference for Marketing/Micro-Econometrics |
| R-BayesMAMS | 0.1-lp153.1.13 | Designing Bayesian Multi-Arm Multi-Stage Studies |
| R-BayesMassBal | 1.1.0-lp153.1.9 | Bayesian Data Reconciliation of Separation Processes |
| R-bayesMeanScale | 0.1.4-lp153.2.2 | Bayesian Post-Estimation on the Mean Scale |
| R-bayesmeta | 3.4-lp153.1.4 | Bayesian Random-Effects Meta-Analysis and Meta-Regression |
| R-bayesMig | 0.4.6-lp153.1.5 | Bayesian Projection of Migration |
| R-bayesmix | 0.7.6-lp153.1.5 | Bayesian Mixture Models with JAGS |
| R-BayesMixSurv | 0.9.1-lp153.2.13 | Bayesian Mixture Survival Models using Additive Mixture-of-W |
| R-bayesmlogit | 1.0.1-lp153.1.4 | A Multistate Life Table (MSLT) Methodology Based on Bayesian |
| R-BayesMortalityPlus | 0.2.4-lp153.1.2 | Bayesian Mortality Modelling |
| R-bayesMRM | 2.4.0-lp153.4.7 | Bayesian Multivariate Receptor Modeling |
| R-BayesMultMeta | 0.1.1-lp153.1.9 | Bayesian Multivariate Meta-Analysis |
| R-BayesNI | 0.1-lp153.2.13 | BayesNI: Bayesian Testing Procedure for Noninferiority with |
| R-BayesNSGP | 0.1.2-lp153.12.2 | Bayesian Analysis of Non-Stationary Gaussian Process Models |
| R-BayesOrdDesign | 0.1.2-lp153.4.7 | Bayesian Group Sequential Design for Ordinal Data |
| R-BayesPieceHazSelect | 1.1.0-lp153.2.13 | Variable Selection in a Hierarchical Bayesian Model for a Ha |
| R-BayesPiecewiseICAR | 0.2.1-lp153.2.13 | Hierarchical Bayesian Model for a Hazard Function |
| R-bayesplay | 0.9.3-lp153.2.2 | The Bayes Factor Playground |
| R-bayesplot | 1.11.1-lp153.1.4 | Plotting for Bayesian Models |
| R-bayesplot | 1.6.0-1.24 | Plotting for Bayesian Models |
| R-bayesplot | 1.6.0-lp153.1.23 | Plotting for Bayesian Models |
| R-bayesplot | 1.6.0-1.89 | Plotting for Bayesian Models |
| R-bayespm | 0.2.0-lp153.1.5 | Bayesian Statistical Process Monitoring |
| R-bayespref | 1.0-lp153.4.11 | Hierarchical Bayesian analysis of ecological count data |
| R-bayesQR | 2.4-lp153.1.5 | Bayesian Quantile Regression |
| R-BayesRep | 0.42.2-lp153.1.5 | Bayesian Analysis of Replication Studies |
| R-BayesRepDesign | 0.42-lp153.1.5 | Bayesian Design of Replication Studies |
| R-bayesROE | 0.2-lp153.2.2 | Bayesian Regions of Evidence |
| R-BayesRS | 0.1.3-lp153.12.7 | Bayes Factors for Hierarchical Linear Models with Continuous |
| R-bayess | 1.6-lp153.2.2 | Bayesian Essentials with R |
| R-BayesS5 | 1.41-lp153.4.7 | Bayesian Variable Selection Using Simplified Shotgun Stochas |
| R-BayesSampling | 1.1.0-lp153.1.13 | Bayes Linear Estimators for Finite Population |
| R-BayesSpec | 0.5.3-lp153.2.13 | Bayesian Spectral Analysis Techniques |
| R-BayesSummaryStatLM | 2.0-lp153.1.12 | MCMC Sampling of Bayesian Linear Models via Summary Statisti |
| R-BayesSurvival | 0.2.0-lp153.8.5 | Bayesian Survival Analysis for Right Censored Data |
| R-bayest | 1.5-lp153.2.2 | Effect Size Targeted Bayesian Two-Sample t-Tests via Markov |
| R-bayesTFR | 7.4.2-lp153.1.5 | Bayesian Fertility Projection |
| R-BayesTools | 0.2.17-lp153.1.4 | Tools for Bayesian Analyses |
| R-BayesTree | 0.3.1.5-lp153.1.4 | Bayesian Additive Regression Trees |
| R-BayesTreePrior | 1.0.1-lp153.2.13 | Bayesian Tree Prior Simulation |
| R-BayesTwin | 1.0-lp153.2.12 | Bayesian Analysis of Item-Level Twin Data |
| R-BayesValidate | 0.0-lp153.2.13 | BayesValidate Package |
| R-BayesXsrc | 3.0.5-lp153.2.2 | Distribution of the \'BayesX\' C++ Sources |
| R-bayfoxr | 0.0.1-lp153.2.13 | Global Bayesian Foraminifera Core Top Calibration |
| R-BayHaz | 0.1.3-lp153.2.13 | R Functions for Bayesian Hazard Rate Estimation |
| R-baymedr | 0.1.1-lp153.5.2 | Computation of Bayes Factors for Common Biomedical Designs |
| R-BaySIC | 1.0-lp153.4.11 | Bayesian Analysis of Significantly Mutated Genes in Cancer |
| R-BAYSTAR | 0.2.10-lp153.1.9 | On Bayesian Analysis of Threshold Autoregressive Models |
| R-bazar | 1.0.11-lp153.8.2 | Miscellaneous Basic Functions |
| R-BB | 2019.10.1-lp153.2.13 | Solving and Optimizing Large-Scale Nonlinear Systems |
| R-BBcor | 1.0.3-lp153.8.7 | Bayesian Bootstrapping Correlations |
| R-bbefkr | 4.2-lp153.2.13 | Bayesian bandwidth estimation and semi-metric selection for |
| R-bbemkr | 2.0-lp153.2.13 | Bayesian bandwidth estimation for multivariate kernel regres |
| R-BBEST | 0.1.8-lp153.19.2 | Bayesian Estimation of Incoherent Neutron Scattering Backgro |
| R-BBI | 0.3.0-lp153.2.13 | Benthic Biotic Indices Calculation from Composition Data |
| R-BBmisc | 1.13-lp153.1.8 | Miscellaneous Helper Functions for B. Bischl |
| R-bbmle | 1.0.25-lp153.1.10 | Tools for general maximum likelihood estimation |
| R-BBMM | 3.0-lp153.2.13 | Brownian bridge movement model |
| R-BBMV | 2.1-lp153.2.13 | Models for Continuous Traits Evolving in Macroevolutionary L |
| R-bbnet | 1.0.1-lp153.2.2 | Create Simple Predictive Models on Bayesian Belief Networks |
| R-bbo | 0.2-lp153.2.13 | Biogeography-Based Optimization |
| R-BBRecapture | 0.2-lp153.11.8 | Bayesian Behavioural Capture-Recapture Models |
| R-bbreg | 2.0.2-lp153.1.11 | Bessel and Beta Regressions via Expectation-Maximization Alg |
| R-bbricks | 0.1.4-lp153.2.13 | Bayesian Methods and Graphical Model Structures for Statisti |
| R-bbsBayes | 2.5.2-lp153.2.7 | Hierarchical Bayesian Analysis of North American BBS Data |
| R-bc3net | 1.0.4-lp153.7.4 | Gene Regulatory Network Inference with Bc3net |
| R-BCA | 0.9.3-lp153.13.12 | Business and Customer Analytics |
| R-BCA1SG | 0.1.0-lp153.2.13 | Block Coordinate Ascent with One-Step Generalized Rosen Algo |
| R-bcaboot | 0.2.3-lp153.1.12 | Bias Corrected Bootstrap Confidence Intervals |
| R-BCBCSF | 1.0.1-lp153.2.13 | Bias-Corrected Bayesian Classification with Selected Feature |
| R-bcc | 1.5-lp153.1.2 | Beta Control Charts |
| R-BCC1997 | 0.1.1-lp153.2.13 | Calculation of Option Prices Based on a Universal Solution |
| R-bccp | 0.5.0-lp153.1.12 | Bias Correction under Censoring Plan |
| R-bcdata | 0.4.1-lp153.8.3 | Search and Retrieve Data from the BC Data Catalogue |
| R-BCDating | 0.9.8-lp153.2.13 | Business Cycle Dating and Plotting Tools |
| R-BCE | 2.2.0-lp153.2.7 | Bayesian Composition Estimator: Estimating Sample (Taxonomic |
| R-BCellMA | 0.3.4-lp153.9.11 | B Cell Receptor Somatic Hyper Mutation Analysis |
| R-bcfrailph | 0.1.1-lp153.2.7 | Semiparametric Bivariate Correlated Frailty Models Fit |
| R-bcfrailphdv | 0.1.1-lp153.2.7 | Bivariate Correlated Frailty Models with Varied Variances |
| R-bcgam | 1.0-lp153.11.4 | Bayesian Constrained Generalised Linear Models |
| R-BCgee | 0.1.1-lp153.1.5 | Bias-Corrected Estimates for Generalized Linear Models for D |
| R-BCHM | 1.00-lp153.9.5 | Clinical Trial Calculation Based on BCHM Design |
| R-Bchron | 4.7.6-lp153.14.2 | Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level |
| R-Bclim | 3.1.2-lp153.4.13 | Bayesian Palaeoclimate Reconstruction from Pollen Data |
| R-bcmaps | 2.2.0-lp153.3.3 | Map Layers and Spatial Utilities for British Columbia |
| R-bcmixed | 0.1.4-lp153.2.13 | Mixed Effect Model with the Box-Cox Transformation |
| R-bcpmeta | 1.0-lp153.2.13 | Bayesian Multiple Changepoint Detection Using Metadata |
| R-bcr | 0.1.1-lp153.2.13 | Extract Moroccan Financial Data |
| R-BCRA | 2.1.2-lp153.2.13 | Breast Cancer Risk Assessment |
| R-bcrm | 0.5.4-lp153.17.5 | Bayesian Continual Reassessment Method for Phase I Dose-Esca |
| R-bcv | 1.0.2-lp153.1.5 | Cross-Validation for the SVD (Bi-Cross-Validation) |
| R-BDAlgo | 0.1.0-lp153.1.4 | Bloom Detecting Algorithm |
| R-bdc | 1.1.4-lp153.9.2 | Biodiversity Data Cleaning |
| R-bdDwC | 0.1.15-lp153.15.2 | Darwinizer: Darwin Core (DwC) Field Names Standardization |
| R-bde | 1.0.1.1-lp153.9.2 | Bounded Density Estimation |
| R-BDEsize | 1.6-lp153.7.5 | Efficient Determination of Sample Size in Balanced Design of |
| R-bdlim | 0.4.2-lp153.1.2 | Bayesian Distributed Lag Interaction Models |
| R-bdlp | 0.9.2-lp153.21.5 | Transparent and Reproducible Artificial Data Generation |
| R-bdots | 1.2.5-lp153.1.7 | Bootstrapped Differences of Time Series |
| R-BDP2 | 0.1.3-lp153.19.2 | Bayesian Adaptive Designs for Phase II Trials with Binary En |
| R-bdpar | 3.1.0-lp153.1.4 | Big Data Preprocessing Architecture |
| R-bdpopt | 1.0.1-lp153.2.12 | Optimisation of Bayesian Decision Problems |
| R-bdpv | 1.3-lp153.2.13 | Inference and Design for Predictive Values in Diagnostic Tes |
| R-bdrc | 1.1.0-lp153.1.5 | Bayesian Discharge Rating Curves |
| R-bdribs | 1.0.4-lp153.2.12 | Bayesian Detection of Potential Risk Using Inference on Blin |
| R-bdscale | 2.0.0-lp153.14.5 | Remove Weekends and Holidays from ggplot2 Axes |
| R-bdsmatrix | 1.3.7-lp153.2.2 | Routines for Block Diagonal Symmetric matrices |
| R-bdvis | 0.2.37-lp153.3.3 | Biodiversity Data Visualizations |
| R-BDWreg | 1.3.0-lp153.2.4 | Bayesian Inference for Discrete Weibull Regression |
| R-bdynsys | 1.3-lp153.14.11 | Bayesian Dynamical System Model |
| R-BE | 0.2.4-lp153.1.7 | Bioequivalence Study Data Analysis |
| R-bea.R | 1.0.6-lp153.24.2 | Bureau of Economic Analysis API |
| R-beakr | 0.4.3-lp153.8.2 | A Minimalist Web Framework for R |
| R-beanplot | 1.3.1-lp153.1.10 | Visualization via Beanplots (Like Boxplot/Stripchart/Violin |
| R-beans | 0.1.0-lp153.1.12 | Data on Dried Beans |
| R-bear | 2.7.7-1.24 | Data Analysis Tool for Average Bioequivalence and Bioavailab |
| R-bear | 2.7.7-1.86 | Data Analysis Tool for Average Bioequivalence and Bioavailab |
| R-bear | 2.7.7-lp153.1.23 | Data Analysis Tool for Average Bioequivalence and Bioavailab |
| R-bearishTrader | 1.0.2-lp153.1.8 | Trading Strategies for Bearish Outlook |
| R-beast | 1.1-lp153.2.13 | Bayesian Estimation of Change-Points in the Slope of Multiva |
| R-beats | 0.1.1-lp153.4.13 | Heartbeat Detection in Electrocardiogram Data |
| R-beautier | 2.6.12-lp153.2.2 | \'BEAUti\' from R |
| R-beaver | 1.0.0-lp153.2.2 | Bayesian Model Averaging of Covariate Adjusted Negative-Bino |
| R-BED | 1.5.2-lp153.2.2 | Biological Entity Dictionary (BED) |
| R-BEDASSLE | 1.6-lp153.1.10 | Quantifies Effects of Geo/Eco Distance on Genetic Differenti |
| R-beeswarm | 0.4.0-lp153.1.12 | The Bee Swarm Plot, an Alternative to Stripchart |
| R-befproj | 0.1.1-lp153.13.7 | Makes a Local Population Projection |
| R-beginr | 0.1.7-lp153.2.12 | Functions for R Beginners |
| R-behavr | 0.3.2-lp153.2.13 | Canonical Data Structure for Behavioural Data |
| R-belex | 0.1.0-lp153.3.12 | Download Historical Data from the Belgrade Stock Exchange |
| R-BElikelihood | 1.1-lp153.2.2 | Likelihood Method for Evaluating Bioequivalence |
| R-bench | 1.1.3-lp153.1.5 | High Precision Timing of R Expressions |
| R-bench | 1.0.4-lp155.1.5 | High Precision Timing of R Expressions |
| R-bench | 1.0.4-lp154.1.10 | High Precision Timing of R Expressions |
| R-bench | 1.0.4-1.52 | High Precision Timing of R Expressions |
| R-bench | 1.0.4-lp153.1.23 | High Precision Timing of R Expressions |
| R-bench | 1.0.4-1.30 | High Precision Timing of R Expressions |
| R-benchden | 1.0.8-lp153.1.5 | 28 Benchmark Densities from Berlinet/Devroye (1994) |
| R-benchmarkme | 1.0.8-lp153.9.2 | Crowd Sourced System Benchmarks |
| R-benchmarkmeData | 1.0.4-lp153.13.7 | Data Set for the \'benchmarkme\' Package |
| R-BEND | 1.0-lp153.2.2 | Bayesian Estimation of Nonlinear Data (BEND) |
| R-bender | 0.1.1-lp153.3.12 | Bender Client |
| R-benford | 1.0.1-lp153.1.12 | Benford\'s Analysis on Large Data Sets |
| R-benford.analysis | 0.1.5-lp153.2.13 | Benford Analysis for Data Validation and Forensic Analytics |
| R-BenfordTests | 1.2.0-lp153.2.13 | Statistical Tests for Evaluating Conformity to Benford\'s La |
| R-BENMMI | 4.3.7-lp153.20.2 | Benthic Multi-Metric Index |
| R-bentcableAR | 0.3.1-lp153.1.8 | Bent-Cable Regression for Independent Data or Autoregressive |
| R-benthos | 1.3.8-lp153.5.5 | Marine Benthic Ecosystem Analysis |
| R-BeQut | 0.1.0-lp153.2.4 | Bayesian Estimation for Quantile Regression Mixed Models |
| R-Bergm | 5.0.7-lp153.2.2 | Bayesian Exponential Random Graph Models |
| R-berryFunctions | 1.22.5-lp153.1.4 | Function Collection Related to Plotting and Hydrology |
| R-BEST | 0.5.4-lp153.1.12 | Bayesian Estimation Supersedes the t-Test |
| R-bestglm | 0.34-2.38 | Best Subset GLM |
| R-bestglm | 0.37.3-lp153.4.7 | Best Subset GLM and Regression Utilities |
| R-bestglm | 0.34-lp154.2.10 | Best Subset GLM |
| R-bestglm | 0.34-lp153.2.23 | Best Subset GLM |
| R-bestglm | 0.34-2.28 | Best Subset GLM |
| R-bestglm | 0.34-lp155.2.5 | Best Subset GLM |
| R-BESTree | 0.5.2-lp153.3.7 | Branch-Exclusive Splits Trees |
| R-BetaBit | 2.2-lp153.1.5 | Mini Games from Adventures of Beta and Bit |
| R-betaboost | 1.0.1-lp153.2.12 | Boosting Beta Regression |
| R-betacal | 0.1.0-lp153.2.13 | Beta Calibration |
| R-betaDelta | 1.0.5-lp153.2.2 | Confidence Intervals for Standardized Regression Coefficient |
| R-betafam | 1.0-lp153.2.13 | Detecting rare variants for quantitative traits using nuclea |
| R-betafunctions | 1.9.0-lp153.2.2 | Functions for Working with Two- And Four-Parameter Beta Prob |
| R-betalink | 2.2.1-lp153.5.8 | Beta-Diversity of Species Interactions |
| R-betaMC | 1.3.2-lp153.2.2 | Monte Carlo for Regression Effect Sizes |
| R-betaNB | 1.0.4-lp153.2.2 | Bootstrap for Regression Effect Sizes |
| R-betapart | 1.6-lp153.1.5 | Partitioning Beta Diversity into Turnover and Nestedness Com |
| R-BetaPASS | 1.1.2-lp153.1.5 | Calculate Power and Sample Size with Beta Regression |
| R-betaper | 1.1.2-lp153.2.13 | Taxonomic Uncertainty on Multivariate Analyses of Ecological |
| R-betaSandwich | 1.0.7-lp153.2.2 | Robust Confidence Intervals for Standardized Regression Coef |
| R-betategarch | 3.3-lp153.2.13 | Simulation, Estimation and Forecasting of Beta-Skew-t-EGARCH |
| R-bethel | 0.2-lp153.2.13 | Bethel\'s algorithm. |
| R-bets.covid19 | 1.0.0-lp153.2.13 | The BETS Model for Early Epidemic Data |
| R-bettermc | 1.2.1-lp153.1.5 | Enhanced Fork-Based Parallelization |
| R-BeyondBenford | 1.4-lp153.14.5 | Compare the Goodness of Fit of Benford\'s and Blondeau Da Si |
| R-bezier | 1.1.2-lp153.2.13 | Toolkit for Bezier Curves and Splines |
| R-bfsl | 0.2.0-lp153.1.12 | Best-Fit Straight Line |
| R-BGData | 2.4.0-lp153.2.9 | A Suite of Packages for Analysis of Big Genomic Data |
| R-bgev | 0.1-lp153.2.2 | Bimodal GEV Distribution with Location Parameter |
| R-bgeva | 0.3.1-lp153.2.13 | Binary Generalized Extreme Value Additive Models |
| R-BGFD | 0.1-lp153.1.5 | Bell-G and Complementary Bell-G Family of Distributions |
| R-bggAnalytics | 0.2.1-lp153.4.2 | BoardGameGeek\'s Board Game Data Analysis Tools |
| R-BGGE | 0.6.5-lp153.2.13 | Bayesian Genomic Linear Models Applied to GE Genome Selectio |
| R-bgmfiles | 0.0.6-lp153.2.13 | Example BGM Files for the Atlantis Ecosystem Model |
| R-BGPhazard | 2.1.1-lp153.3.2 | Markov Beta and Gamma Processes for Modeling Hazard Rates |
| R-BGSIMD | 1.0-lp153.2.13 | Block Gibbs Sampler with Incomplete Multinomial Distribution |
| R-bgsmtr | 0.7-lp153.6.7 | Bayesian Group Sparse Multi-Task Regression |
| R-bgumbel | 0.0.3-lp153.3.11 | Bimodal Gumbel Distribution |
| R-bgw | 0.1.3-lp153.2.2 | Bunch-Gay-Welsch Statistical Estimation |
| R-BH | 1.72.0.3-lp155.1.5 | Boost C++ header files |
| R-BH | 1.72.0.3-lp153.1.28 | Boost C++ header files |
| R-BH | 1.72.0.3-1.30 | Boost C++ header files |
| R-BH | 1.72.0.3-lp154.1.10 | Boost C++ header files |
| R-BH | 1.72.0.3-1.27 | Boost C++ header files |
| R-BH | 1.84.0.0-lp153.1.4 | Boost C++ header files |
| R-BH-devel | 1.84.0.0-lp153.1.4 | Development files for BH |
| R-BHAI | 0.99.2-lp153.16.7 | Estimate the Burden of Healthcare-Associated Infections |
| R-Bhat | 0.9.12-lp153.1.9 | General likelihood exploration |
| R-BHH2 | 2016.05.31-lp153.2.13 | Useful Functions for Box, Hunter and Hunter II |
| R-bhm | 1.18-lp153.4.5 | Biomarker Threshold Models |
| R-bhmbasket | 0.9.5-lp153.3.2 | Bayesian Hierarchical Models for Basket Trials |
| R-bhpm | 1.7-lp153.2.13 | Bayesian Hierarchical Poisson Models for Multiple Grouped Ou |
| R-BHTSpack | 0.6-lp153.1.13 | Bayesian Multi-Plate High-Throughput Screening of Compounds |
| R-BI | 1.2.0-lp153.2.7 | Blinding Assessment Indexes for Randomized, Controlled, Clin |
| R-biasbetareg | 1.0-lp153.2.13 | Bias correction of the parameter estimates of the beta regre |
| R-BiasCorrector | 0.2.2-lp153.13.2 | A GUI to Correct Measurement Bias in DNA Methylation Analyse |
| R-bib2df | 1.1.2.0-lp153.2.2 | Parse a BibTeX File to a Data Frame |
| R-biblio | 0.0.10-lp153.1.2 | Interacting with BibTeX Databases |
| R-bibliometrixData | 0.3.0-lp153.1.9 | Bibliometrix Example Datasets |
| R-biblionetwork | 0.1.0-lp153.1.13 | Create Different Types of Bibliometric Networks |
| R-bibliorefer | 0.1.0-lp153.2.2 | Generator of Main Scientific References |
| R-biblioverlap | 1.0.2-lp153.3.2 | Document-Level Matching Between Bibliographic Datasets |
| R-BibPlots | 0.0.8-lp153.1.12 | Plot Functions for Use in Bibliometrics |
| R-bibs | 1.1.1-lp153.1.11 | Bayesian Inference for the Birnbaum-Saunders Distribution |
| R-bibtex | 0.5.1-lp153.1.7 | Bibtex Parser |
| R-BiCausality | 0.1.4-lp153.1.4 | Binary Causality Inference Framework |
| R-biclique | 1.0.5-lp153.2.13 | Maximal Biclique Enumeration in Bipartite Graphs |
| R-biclust | 1.0.2-lp153.3.23 | BiCluster Algorithms |
| R-biclust | 1.0.2-lp154.3.10 | BiCluster Algorithms |
| R-biclust | 2.0.3.1-lp153.2.2 | BiCluster Algorithms |
| R-biclust | 1.0.2-3.51 | BiCluster Algorithms |
| R-biclust | 1.0.2-3.28 | BiCluster Algorithms |
| R-biclust | 1.0.2-lp155.3.5 | BiCluster Algorithms |
| R-biclustermd | 0.2.3-lp153.10.2 | Biclustering with Missing Data |
| R-BICORN | 0.1.0-lp153.2.13 | Integrative Inference of De Novo Cis-Regulatory Modules |
| R-BiDimRegression | 2.0.1-lp153.1.11 | Calculates the Bidimensional Regression Between Two 2D Confi |
| R-BIDistances | 0.0.2-lp153.1.5 | Bioinformatic Distances |
| R-bifurcatingr | 2.1.0-lp153.2.2 | Bifurcating Autoregressive Models |
| R-bigalgebra | 1.1.0-lp153.2.9 | \'BLAS\' and \'LAPACK\' Routines for Native R Matrices and \ |
| R-biganalytics | 1.1.22-lp153.2.2 | Utilities for \'big.matrix\' Objects from Package \'bigmemor |
| R-bigassertr | 0.1.6-lp153.1.7 | Assertion and Message Functions |
| R-bigchess | 1.9.1-lp153.3.12 | Read, Write, Manipulate, Explore Chess PGN Files and R API t |
| R-bigD | 0.2.0-lp153.1.8 | Flexibly Format Dates and Times to a Given Locale |
| R-bigdatadist | 1.1-lp153.2.13 | Distances for Machine Learning and Statistics in the Context |
| R-BIGDAWG | 3.0.3-lp153.22.2 | Case-Control Analysis of Multi-Allelic Loci |
| R-bigdist | 0.1.4-lp153.20.7 | Store Distance Matrices on Disk |
| R-bigleaf | 0.8.2-lp153.4.7 | Physical and Physiological Ecosystem Properties from Eddy Co |
| R-biglm | 0.9.1-3.34 | bounded memory linear and generalized linear models |
| R-biglm | 0.9.1-3.38 | bounded memory linear and generalized linear models |
| R-biglm | 0.9.1-lp153.3.25 | bounded memory linear and generalized linear models |
| R-biglm | 0.9.1-lp155.3.5 | bounded memory linear and generalized linear models |
| R-biglm | 0.9.1-lp154.3.10 | bounded memory linear and generalized linear models |
| R-biglm | 0.9.3-lp153.1.2 | bounded memory linear and generalized linear models |
| R-biglmm | 0.9.2-lp153.2.13 | bounded memory linear and generalized linear models |
| R-bigmatch | 0.6.4-lp153.2.7 | Making Optimal Matching Size-Scalable Using Optimal Calipers |
| R-bigmds | 3.0.0-lp153.1.4 | Multidimensional Scaling for Big Data |
| R-bigmemory.sri | 0.1.8-lp153.1.4 | A Shared Resource Interface for Bigmemory Project Packages |
| R-bigparallelr | 0.3.2-lp153.2.7 | Easy Parallel Tools |
| R-bigQF | 1.6-lp153.1.11 | Quadratic Forms in Large Matrices |
| R-bigQueryR | 0.5.0-lp153.9.5 | Interface with Google BigQuery with Shiny Compatibility |
| R-bigsimr | 0.12.0-lp153.1.4 | Fast Generation of High-Dimensional Random Vectors |
| R-bigsplines | 1.1.1-lp153.2.13 | Smoothing Splines for Large Samples |
| R-bigstep | 1.0.3-lp153.3.9 | Stepwise Selection for Large Data Sets |
| R-bigtcr | 1.1-lp153.2.13 | Nonparametric Analysis of Bivariate Gap Time with Competing |
| R-BigTSP | 1.0-lp153.4.11 | Top Scoring Pair based methods for classification |
| R-bikeshare14 | 0.1.4-lp153.1.13 | Bay Area Bike Share Trips in 2014 |
| R-bikm1 | 1.1.0-lp153.9.2 | Co-Clustering Adjusted Rand Index and Bikm1 Procedure for Co |
| R-bild | 1.2.1-lp153.1.4 | A Package for BInary Longitudinal Data |
| R-billboard | 0.1.0-lp153.11.5 | Contains Data of Billboard Hot 100 Songs |
| R-bimetallic | 1.0-lp153.2.13 | Power for SNP analyses using silver standard cases |
| R-bimixt | 1.0-lp153.2.13 | Estimates Mixture Models for Case-Control Data |
| R-BimodalIndex | 1.1.9-lp153.2.13 | The Bimodality Index |
| R-binancer | 1.2.0-lp153.5.2 | API Client to \'Binance\' |
| R-Binarize | 1.3.1-lp153.1.5 | Binarization of One-Dimensional Data |
| R-BinarybalancedCut | 0.2-lp153.15.2 | Threshold Cut Point of Probability for a Binary Classifier M |
| R-BinaryEMVS | 0.1-lp153.2.13 | Variable Selection for Binary Data Using the EM Algorithm |
| R-BinaryEPPM | 3.0-lp153.1.2 | Mean and Scale-Factor Modeling of Under- And Over-Dispersed |
| R-binaryLogic | 0.3.9-lp153.2.13 | Binary Logic |
| R-binaryMM | 0.1.1-lp153.2.7 | Flexible Marginalized Models for Binary Correlated Outcomes |
| R-binaryTimeSeries | 1.0.2-lp153.5.5 | Analyzes a Binary Variable During a Time Series |
| R-BINCOR | 0.2.0-lp153.2.13 | Estimate the Correlation Between Two Irregular Time Series |
| R-binda | 1.0.4-lp153.1.11 | Multi-Class Discriminant Analysis using Binary Predictors |
| R-bindata | 0.9.21-lp153.2.2 | Generation of Artificial Binary Data |
| R-bindr | 0.1.1-1.38 | Parametrized Active Bindings |
| R-bindr | 0.1.1-lp154.1.10 | Parametrized Active Bindings |
| R-bindr | 0.1.1-lp153.2.13 | Parametrized Active Bindings |
| R-bindr | 0.1.1-1.26 | Parametrized Active Bindings |
| R-bindr | 0.1.1-lp155.1.5 | Parametrized Active Bindings |
| R-bindr | 0.1.1-lp153.1.24 | Parametrized Active Bindings |
| R-bindrcpp | 0.2.2-lp154.3.10 | An \'Rcpp\' Interface to Active Bindings |
| R-bindrcpp | 0.2.2-3.30 | An \'Rcpp\' Interface to Active Bindings |
| R-bindrcpp | 0.2.2-lp155.3.5 | An \'Rcpp\' Interface to Active Bindings |
| R-bindrcpp | 0.2.2-lp153.3.23 | An \'Rcpp\' Interface to Active Bindings |
| R-bindrcpp | 0.2.2-3.30 | An \'Rcpp\' Interface to Active Bindings |
| R-binequality | 1.0.4-lp153.2.13 | Methods for Analyzing Binned Income Data |
| R-binford | 0.1.0-lp153.2.13 | Binford\'s Hunter-Gatherer Data |
| R-binfunest | 0.1.0-lp153.1.8 | Estimates Parameters of Functions Driving Binomial Random Va |
| R-bingat | 1.3-lp153.11.5 | Binary Graph Analysis Tools |
| R-binGroup | 2.2.1-lp153.6.8 | Evaluation and experimental design for binomial group testin |
| R-binhf | 1.0.3-lp153.2.13 | Haar-Fisz Functions for Binomial Data |
| R-binman | 0.1.3-lp153.2.4 | A Binary Download Manager |
| R-binMto | 0.0.7-lp153.2.13 | Many-to-One Comparisons of Proportions |
| R-BinNonNor | 1.5.3-lp153.1.13 | Data Generation with Binary and Continuous Non-Normal Compon |
| R-binom | 1.1.1.1-lp153.1.9 | Binomial Confidence Intervals For Several Parameterizations |
| R-binomCI | 1.1-lp153.1.5 | Confidence Intervals for a Binomial Proportion |
| R-binomialcftp | 1.0-lp153.2.13 | Generates binomial random numbers via the coupling from the |
| R-binomialRF | 0.1.0-lp153.3.12 | Binomial Random Forest Feature Selection |
| R-binomialtrend | 0.0.0.3-lp153.2.5 | Calculates the Statistical Significance of a Trend in a Set |
| R-binomlogit | 1.2-lp153.2.13 | Efficient MCMC for Binomial Logit Models |
| R-binomSamSize | 0.1.5-lp153.2.13 | Confidence Intervals and Sample Size Determination for a Bin |
| R-BinOrdNonNor | 1.5.2-lp153.1.13 | Concurrent Generation of Binary, Ordinal and Continuous Data |
| R-binostics | 0.1.3-lp153.1.13 | Compute Scagnostics |
| R-binovisualfields | 0.1.1-lp153.13.2 | Depth-Dependent Binocular Visual Fields Simulation |
| R-binr | 1.1.1-lp153.1.8 | Cut Numeric Values into Evenly Distributed Groups |
| R-binseqtest | 1.0.4-lp153.1.5 | Exact Binary Sequential Designs and Analysis |
| R-binsmooth | 0.2.2-lp153.4.7 | Generate PDFs and CDFs from Binned Data |
| R-binst | 0.2.1-lp153.2.13 | Data Preprocessing, Binning for Classification and Regressio |
| R-bio.infer | 1.3.6-lp153.2.13 | Predict Environmental Conditions from Biological Observation |
| R-bioassays | 1.0.1-lp153.17.7 | Summarising Multi Well Plate Cellular Assay |
| R-Biobase | 2.38.0-lp155.2.5 | Biobase: Base functions for Bioconductor |
| R-Biobase | 2.38.0-lp154.2.10 | Biobase: Base functions for Bioconductor |
| R-Biobase | 2.38.0-lp153.2.24 | Biobase: Base functions for Bioconductor |
| R-Biobase | 2.38.0-2.38 | Biobase: Base functions for Bioconductor |
| R-Biobase | 2.38.0-2.31 | Biobase: Base functions for Bioconductor |
| R-BiObjClass | 0.1.0-lp153.2.2 | Classification of Algorithms |
| R-biobricks | 0.2.2-lp153.1.4 | Access Data Dependencies Installed Through \'Biobricks.ai\' |
| R-bioC.logs | 1.2.1-lp153.1.7 | BioConductor Package Downloads Stats |
| R-BiocGenerics | 0.24.0-1.30 | S4 generic functions for Bioconductor |
| R-BiocGenerics | 0.24.0-1.38 | S4 generic functions for Bioconductor |
| R-BiocGenerics | 0.24.0-lp154.1.10 | S4 generic functions for Bioconductor |
| R-BiocGenerics | 0.24.0-lp155.1.5 | S4 generic functions for Bioconductor |
| R-BiocGenerics | 0.24.0-lp153.1.27 | S4 generic functions for Bioconductor |
| R-BiocInstaller | 1.28.0-1.38 | Install/Update Bioconductor, CRAN, and github Packages |
| R-BiocInstaller | 1.28.0-1.25 | Install/Update Bioconductor, CRAN, and github Packages |
| R-BiocInstaller | 1.28.0-lp153.1.23 | Install/Update Bioconductor, CRAN, and github Packages |
| R-BiocInstaller | 1.28.0-lp155.1.5 | Install/Update Bioconductor, CRAN, and github Packages |
| R-BiocInstaller | 1.28.0-lp154.1.10 | Install/Update Bioconductor, CRAN, and github Packages |
| R-BioCircos | 0.3.4-lp153.15.2 | Interactive Circular Visualization of Genomic Data using \'h |
| R-bioclim | 0.4.0-lp153.6.2 | Bioclimatic Analysis and Classification |
| R-BioCro | 3.1.3-lp153.2.2 | Modular Crop Growth Simulations |
| R-Biodem | 0.5-lp153.1.13 | Biodemography functions |
| R-BiodiversityR | 2.15.1-lp153.5.5 | Package for Community Ecology and Suitability Analysis |
| R-BIOdry | 0.9-lp153.3.4 | Multilevel Modeling of Dendroclimatical Fluctuations |
| R-BiOFI | 0.1.0-lp153.1.8 | Feature Identification Between Metabolome and Microbiome in |
| R-BioFTF | 1.2.0-lp153.2.13 | Biodiversity Assessment Using Functional Tools |
| R-biogas | 1.23.2-lp153.2.13 | Process Biogas Data and Predict Biogas Production |
| R-biogeo | 1.0-lp153.7.7 | Point Data Quality Assessment and Coordinate Conversion |
| R-biogram | 1.6.3-lp153.5.8 | N-Gram Analysis of Biological Sequences |
| R-biogrowth | 1.0.4-lp153.2.2 | Modelling of Population Growth |
| R-bioinactivation | 1.2.3-lp153.19.5 | Mathematical Modelling of (Dynamic) Microbial Inactivation |
| R-biokNN | 0.1.0-lp153.11.7 | Bi-Objective k-Nearest Neighbors Imputation for Multilevel D |
| R-Biolinv | 0.1.3-lp153.11.7 | Modelling and Forecasting Biological Invasions |
| R-Biolinv | 0.1.3-11.17 | Modelling and Forecasting Biological Invasions |
| R-biologicalActivityIndices | 0.1.0-lp153.2.2 | Biological Activity Indices |
| R-BIOM.utils | 0.9-lp153.2.13 | Utilities for the BIOM (Biological Observation Matrix) Forma |
| R-BioMark | 0.4.5-lp153.5.7 | Find Biomarkers in Two-Class Discrimination Problems |
| R-biometryassist | 1.2.1-lp153.1.2 | Functions to Assist Design and Analysis of Agronomic Experim |
| R-bionetdata | 1.1-lp153.1.8 | Biological and Chemical Data Networks |
| R-Biopeak | 1.0-lp153.21.7 | Identification of Impulse-Like Gene Expression Changes in Sh |
| R-BioPET | 0.2.2-lp153.14.7 | Biomarker Prognostic Enrichment Tool |
| R-BioPETsurv | 0.1.0-lp153.14.5 | Biomarker Prognostic Enrichment Tool for Time-to-Event Trial |
| R-bioPN | 1.2.0-lp153.2.13 | Simulation of deterministic and stochastic biochemical react |
| R-BioProbability | 1.0-lp153.2.13 | Probability in Biostatistics |
| R-BioRssay | 1.1.0-lp153.1.8 | Analyze Bioassays and Probit Graphs |
| R-biorxivr | 1.0.2-lp153.2.12 | Search and Download Papers from the bioRxiv Preprint Server |
| R-bios2mds | 1.2.3-lp153.20.5 | From Biological Sequences to Multidimensional Scaling |
| R-biosampleR | 1.0.4-lp153.1.5 | Biodiversity Index Calculation and Bootstrap Confidence Inte |
| R-bioseq | 0.1.4-lp153.7.2 | A Toolbox for Manipulating Biological Sequences |
| R-bioset | 0.2.3-lp153.9.11 | Convert a Matrix of Raw Values into Nice and Tidy Data |
| R-biosignalEMG | 2.1.0-lp153.2.13 | Tools for Electromyogram Signals (EMG) Analysis |
| R-bioSNR | 1.0-lp153.1.5 | Bioacoustic Basic Operations with Decibels and the Passive S |
| R-Biostatistics | 1.0.4-lp153.16.2 | Statistics Tutorials for Biologists |
| R-BioStatR | 4.0.1-lp153.1.5 | Initiation à La Statistique Avec R |
| R-biosurvey | 0.1.1-lp153.5.7 | Tools for Biological Survey Planning |
| R-Biotech | 1.0.0-lp153.8.13 | Diverse Applications for Biotechnology |
| R-biotic | 0.1.2-lp153.2.13 | Calculation of Freshwater Biotic Indices |
| R-biotools | 4.2-lp153.1.12 | Tools for Biometry and Applied Statistics in Agricultural Sc |
| R-bipartite | 2.20-lp153.2.2 | Visualising Bipartite Networks and Calculating Some (Ecologi |
| R-bipd | 0.3-lp153.5.7 | Bayesian Individual Patient Data Meta-Analysis using \'JAGS\ |
| R-bipl5 | 1.0.2-lp153.6.2 | Construct Reactive Calibrated Axes Biplots |
| R-BiplotML | 1.1.0-lp153.8.5 | Biplots Estimation with Algorithms ML |
| R-birankr | 1.0.1-lp153.2.13 | Ranking Nodes in Bipartite and Weighted Networks |
| R-birdring | 1.6-lp153.2.4 | Methods to Analyse Ring Re-Encounter Data |
| R-birk | 2.1.2-lp153.2.13 | MA Birk\'s Functions |
| R-birtr | 1.0.0-lp153.2.13 | The R Package for \"The Basics of Item Response Theory Using |
| R-BIS | 0.3.1-lp153.5.5 | Programmatic Access to Bank for International Settlements Da |
| R-biscale | 1.0.0-lp153.6.5 | Tools and Palettes for Bivariate Thematic Mapping |
| R-BISdata | 0.2.3-lp153.2.2 | Download Data from the Bank for International Settlements (B |
| R-bisect | 0.9.0-lp153.2.13 | Estimating Cell Type Composition from Methylation Sequencing |
| R-bisg | 0.1.0-lp153.1.5 | Performs Bayesian Improved Surname Geocoding |
| R-BisRNA | 0.2.2-lp153.2.13 | Analysis of RNA Cytosine-5 Methylation |
| R-bit | 1.1_12-lp155.3.5 | A class for vectors of 1-bit booleans |
| R-bit | 1.1_12-3.38 | A class for vectors of 1-bit booleans |
| R-bit | 1.1_12-lp153.3.27 | A class for vectors of 1-bit booleans |
| R-bit | 1.1_12-lp154.3.10 | A class for vectors of 1-bit booleans |
| R-bit | 1.1_12-3.35 | A class for vectors of 1-bit booleans |
| R-bit64 | 0.9.7-lp155.2.5 | A S3 class for vectors of 64bit integers |
| R-bit64 | 0.9.7-2.34 | A S3 class for vectors of 64bit integers |
| R-bit64 | 0.9.7-lp153.2.25 | A S3 class for vectors of 64bit integers |
| R-bit64 | 0.9.7-2.26 | A S3 class for vectors of 64bit integers |
| R-bit64 | 0.9.7-lp154.2.10 | A S3 class for vectors of 64bit integers |
| R-bite | 0.3-lp153.19.2 | Bayesian Integrative Models of Trait Evolution |
| R-bite | 0.3-lp155.19.1 | Bayesian Integrative Models of Trait Evolution |
| R-bite | 0.3-lp154.19.1 | Bayesian Integrative Models of Trait Evolution |
| R-bitmexr | 0.3.3-lp153.3.2 | R Client for BitMEX |
| R-bitops | 1.0_6-lp153.7.27 | Bitwise Operations |
| R-bitops | 1.0_6-lp155.7.5 | Bitwise Operations |
| R-bitops | 1.0_6-7.27 | Bitwise Operations |
| R-bitops | 1.0_6-lp154.7.10 | Bitwise Operations |
| R-bitops | 1.0_6-7.36 | Bitwise Operations |
| R-BiTrinA | 1.3.1-lp153.1.5 | Binarization and Trinarization of One-Dimensional Data |
| R-bitsqueezr | 0.1.1-lp153.2.13 | Quantize Floating-Point Numbers for Improved Compressibility |
| R-biva | 0.1.0-lp153.6.12 | Business Intelligence |
| R-bivariate | 0.7.0-lp153.1.12 | Bivariate Probability Distributions |
| R-Bivariate.Pareto | 1.0.3-lp153.2.13 | Bivariate Pareto Models |
| R-bivariatemaps | 1.3-lp153.2.2 | Creates Bivariate Maps |
| R-BivarP | 1.0-lp153.2.12 | Estimating the Parameters of Some Bivariate Distributions |
| R-bivarRIpower | 1.2-lp153.2.13 | Sample size calculations for bivariate longitudinal data |
| R-BivGeo | 2.0.1-lp153.2.13 | Basu-Dhar Bivariate Geometric Distribution |
| R-bivgeom | 1.0-lp153.2.12 | Roy\'s Bivariate Geometric Distribution |
| R-bivquant | 0.1-lp153.2.12 | Estimation of Bivariate Quantiles |
| R-BivRec | 1.2.1-lp153.10.2 | Bivariate Alternating Recurrent Event Data Analysis |
| R-BivRegBLS | 1.1.1-lp153.2.13 | Tolerance Interval and EIV Regression - Method Comparison St |
| R-bivrp | 1.2.2-lp153.2.13 | Bivariate Residual Plots with Simulation Polygons |
| R-BivUnifBin | 1.3.3-lp153.1.13 | Generation of Bivariate Uniform Data and Its Relation to Biv |
| R-biwt | 1.0.1-lp153.1.9 | Compute the Biweight Mean Vector and Covariance & Correlatio |
| R-bizdays | 1.0.16-lp153.1.4 | Business Days Calculations and Utilities |
| R-bjscrapeR | 0.1.0-lp153.14.5 | An API Wrapper for the Bureau of Justice Statistics (BJS) |
| R-bkmr | 0.2.2-lp153.11.2 | Bayesian Kernel Machine Regression |
| R-BLA | 1.0.1-lp153.2.2 | Boundary Line Analysis |
| R-BlackCarbon | 0.1.0-lp153.2.13 | Processing Raw Black Carbon Concentration |
| R-blaise | 1.3.11-lp153.2.2 | Read and Write FWF Files in the \'Blaise\' Format |
| R-BlakerCI | 1.0.6-lp153.2.13 | Blaker\'s Binomial and Poisson Confidence Limits |
| R-BlandAltmanLeh | 0.3.1-lp153.2.13 | Plots (Slightly Extended) Bland-Altman Plots |
| R-BlanketStatsments | 0.1.2-lp153.26.5 | Build and Compare Statistical Models |
| R-blapsr | 0.6.1-lp153.2.7 | Bayesian Inference with Laplace Approximations and P-Splines |
| R-blastula | 0.3.5-lp153.3.2 | Easily Send HTML Email Messages |
| R-BLCOP | 0.3.3-lp153.13.7 | Black-Litterman and Copula Opinion Pooling Frameworks |
| R-blendedLink | 1.0-lp153.2.13 | A New Link Function that Blends Two Specified Link Functions |
| R-blender | 0.1.2-lp153.2.13 | Analyze biotic homogenization of landscapes |
| R-blin | 0.0.1-lp153.3.11 | Bipartite Longitudinal Influence Network (BLIN) Estimation |
| R-blindreview | 2.0.0-lp153.4.2 | Enables Blind Review of Database |
| R-blink | 1.1.0-lp153.4.7 | Record Linkage for Empirically Motivated Priors |
| R-blm | 2022.0.0.1-lp153.1.8 | Binomial Linear Regression |
| R-BLModel | 1.0.2-lp153.2.13 | Black-Litterman Posterior Distribution |
| R-blob | 1.2.1-1.34 | A Simple S3 Class for Representing Vectors of Binary Data (\ |
| R-blob | 1.2.1-1.29 | A Simple S3 Class for Representing Vectors of Binary Data (\ |
| R-blob | 1.2.1-lp155.1.5 | A Simple S3 Class for Representing Vectors of Binary Data (\ |
| R-blob | 1.2.1-lp154.1.10 | A Simple S3 Class for Representing Vectors of Binary Data (\ |
| R-blob | 1.2.4-lp153.1.5 | A Simple S3 Class for Representing Vectors of Binary Data (\ |
| R-blob | 1.2.1-lp153.1.25 | A Simple S3 Class for Representing Vectors of Binary Data (\ |
| R-BlockCov | 0.1.1-lp153.16.7 | Estimation of Large Block Covariance Matrices |
| R-BlockFeST | 2.0-lp153.1.13 | Bayesian Calculation of Region-Specific Fixation Index to De |
| R-blocklength | 0.1.5-lp153.3.5 | Select an Optimal Block-Length to Bootstrap Dependent Data ( |
| R-blockmatrix | 1.0-lp153.2.13 | blockmatrix: Tools to solve algebraic systems with partition |
| R-BlockMessage | 1.0-lp153.2.13 | Creates strings that show a text message in 8 by 8 block let |
| R-BlockMissingData | 0.1.0-lp153.2.2 | Integrating Multi-Source Block-Wise Missing Data in Model Se |
| R-blockmodeling | 1.1.5-lp153.1.5 | Generalized and Classical Blockmodeling of Valued Networks |
| R-BlockmodelingGUI | 1.8.4-lp153.13.2 | GUI for the Generalised Blockmodeling of Valued Networks |
| R-blockrand | 1.5-lp153.2.13 | Randomization for block random clinical trials |
| R-blocksdesign | 4.9-lp153.2.7 | Nested and Crossed Block Designs for Factorial and Unstructu |
| R-blockTools | 0.6.4-lp153.1.7 | Block, Assign, and Diagnose Potential Interference in Random |
| R-blocs | 0.1.1-lp153.2.4 | Estimate and Visualize Voting Blocs\' Partisan Contributions |
| R-blogdown | 1.19-lp153.4.2 | Create Blogs and Websites with R Markdown |
| R-BLOQ | 0.1.1-lp153.3.12 | Impute and Analyze Data with BLOQ Observations |
| R-BLR | 1.6-lp153.2.13 | Bayesian Linear Regression |
| R-blrm | 1.0.2-lp153.9.2 | Dose Escalation Design in Phase I Oncology Trial Using Bayes |
| R-BLRPM | 1.0-lp153.3.12 | Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pul |
| R-blsAPI | 0.2.1-lp153.1.13 | Request Data from the U.S. Bureau of Labor Statistics API |
| R-blsBandit | 0.1-lp153.5.2 | Data Viewer for Bureau of Labor Statistics Data |
| R-blscrapeR | 4.0.1-lp153.2.2 | An API Wrapper for the United States Bureau of Labor Statist |
| R-blsR | 0.5.0-lp153.2.2 | Make Requests from the Bureau of Labor Statistics API |
| R-bluebike | 0.0.3-lp153.16.2 | Blue Bike Comprehensive Data |
| R-BlythStillCasellaCI | 1.1.0-lp153.2.2 | Blyth-Still-Casella Exact Binomial Confidence Intervals |
| R-BMA | 3.18.17-lp153.1.9 | Bayesian Model Averaging |
| R-BMAmevt | 1.0.5-lp153.1.5 | Multivariate Extremes: Bayesian Estimation of the Spectral M |
| R-bmass | 1.0.3-lp153.2.13 | Bayesian Multivariate Analysis of Summary Statistics |
| R-BMconcor | 2.0.0-lp153.2.2 | CONCOR for Structural- And Regular-Equivalence Blockmodeling |
| R-bmd | 0.5-lp153.14.11 | Benchmark dose analysis for dose-response data |
| R-bmet | 0.1.0-lp153.1.4 | Bayesian Multigroup Equivalence Testing |
| R-bmeta | 0.1.2-lp153.2.12 | Bayesian Meta-Analysis and Meta-Regression |
| R-Bmix | 0.6-lp153.2.13 | Bayesian Sampling for Stick-Breaking Mixtures |
| R-bmixture | 1.7-lp153.8.4 | Bayesian Estimation for Finite Mixture of Distributions |
| R-bmk | 1.0-lp153.2.13 | MCMC diagnostics package |
| R-bmmix | 0.1.2-lp153.9.11 | Bayesian multinomial mixture |
| R-bmp | 0.3-lp153.1.26 | Read Windows Bitmap (BMP) Images |
| R-bmp | 0.3-1.38 | Read Windows Bitmap (BMP) Images |
| R-bmp | 0.3-lp154.1.10 | Read Windows Bitmap (BMP) Images |
| R-bmp | 0.3-1.28 | Read Windows Bitmap (BMP) Images |
| R-bmp | 0.3-lp155.1.5 | Read Windows Bitmap (BMP) Images |
| R-bmp | 0.3-lp153.2.13 | Read Windows Bitmap (BMP) Images |
| R-BMRBr | 0.2.0-lp153.12.4 | \'BMRB\' File Downloader |
| R-BMRMM | 1.0.1-lp153.2.2 | An Implementation of the Bayesian Markov (Renewal) Mixed Mod |
| R-BMRSr | 1.0.3-lp153.9.5 | Wrapper Functions to the \'BMRS API\' |
| R-BMRV | 1.32-lp153.3.8 | Bayesian Models for Rare Variant Association Analysis |
| R-BMS | 0.3.5-lp153.1.8 | Bayesian Model Averaging Library |
| R-BMTAR | 0.1.1-lp153.15.4 | Bayesian Approach for MTAR Models with Missing Data |
| R-BNDataGenerator | 1.0-lp153.2.13 | Data generator based on Bayesian network model |
| R-bndesr | 1.0.3-lp153.2.2 | Access Data from the Brazilian Development Bank (BNDES) |
| R-bndovb | 1.1-lp153.9.7 | Bounding Omitted Variable Bias Using Auxiliary Data |
| R-bnma | 1.6.0-lp153.1.4 | Bayesian Network Meta-Analysis using \'JAGS\' |
| R-BNN | 1.0.2-lp153.2.13 | Bayesian Neural Network for High-Dimensional Nonlinear Varia |
| R-bnormnlr | 1.0-lp153.2.13 | Bayesian Estimation for Normal Heteroscedastic Nonlinear Reg |
| R-BNPdensity | 2023.3.8-lp153.2.2 | Ferguson-Klass Type Algorithm for Posterior Normalized Rando |
| R-bnpsd | 1.3.13-lp153.3.7 | Simulate Genotypes from the BN-PSD Admixture Model |
| R-BNPTSclust | 2.0-lp153.2.12 | A Bayesian Nonparametric Algorithm for Time Series Clusterin |
| R-bnstruct | 1.0.15-lp153.2.4 | Bayesian Network Structure Learning from Data with Missing V |
| R-boa | 1.1.8.2-lp153.2.13 | Bayesian Output Analysis Program (BOA) for MCMC |
| R-BoardGames | 1.0.0-lp153.2.13 | Board Games and Tools for Building Board Games |
| R-bodenmiller | 0.1.1-lp153.1.13 | Profiling of Peripheral Blood Mononuclear Cells using CyTOF |
| R-Bodi | 0.1.0-lp153.14.2 | Boosting Diversity in Regression Ensembles |
| R-bodsr | 0.1.0-lp153.1.7 | Call the Bus Open Data Service (\'BODS\') API Through R |
| R-bodycomp | 1.0.0-lp153.1.10 | Percent Body Fat Values Using Anthropometric Prediction Equa |
| R-BOG | 2.0-lp153.2.13 | Bacterium and Virus Analysis of Orthologous Groups (BOG) is |
| R-boggy | 0.0.1-lp153.2.2 | Real-Time PCR Data Sets by Boggy et al. (2010) |
| R-boiwsa | 1.1.1-lp153.1.2 | Seasonal Adjustment of Weekly Data |
| R-BOJ | 0.3-lp153.8.4 | Interface to Bank of Japan Statistics |
| R-bolasso | 0.2.0-lp153.5.7 | Model Consistent Lasso Estimation Through the Bootstrap |
| R-bold | 1.3.0-lp153.3.2 | Interface to Bold Systems API |
| R-bolsec | 0.1.1-lp153.2.2 | Bolivian Securities |
| R-Bolstad | 0.2.41-lp153.2.13 | Functions for Elementary Bayesian Inference |
| R-Bolstad2 | 1.0.29-lp153.1.10 | Bolstad functions |
| R-bomrang | 0.7.2-lp153.1.13 | Australian Government Bureau of Meteorology (\'BOM\') Data C |
| R-bondAnalyst | 1.0.1-lp153.1.8 | Methods for Fixed-Income Valuation, Risk and Return |
| R-bonn | 1.0.2-lp153.1.5 | Access INKAR Database |
| R-bookdownplus | 1.5.8-lp153.9.5 | Generate Assorted Books and Documents with R \'bookdown\' Pa |
| R-BoolFilter | 1.0.0-lp153.8.4 | Optimal Estimation of Partially Observed Boolean Dynamical S |
| R-BoolNet | 2.1.9-lp153.2.4 | Construction, Simulation and Analysis of Boolean Networks |
| R-Boom | 0.9.15-lp153.1.4 | Bayesian Object Oriented Modeling |
| R-Boom-devel | 0.9.15-lp153.1.4 | Development files for Boom |
| R-BoomSpikeSlab | 1.2.6-lp153.1.4 | MCMC for Spike and Slab Regression |
| R-boostingDEA | 0.1.0-lp153.1.5 | A Boosting Approach to Data Envelopment Analysis |
| R-boostmtree | 1.5.1-lp153.16.2 | Boosted Multivariate Trees for Longitudinal Data |
| R-boostr | 1.0.0-lp153.3.13 | A modular framework to bag or boost any estimation procedure |
| R-boostrq | 1.0.0-lp153.2.2 | Boosting Regression Quantiles |
| R-boot | 1.3.30-lp153.192.1 | Package provides recommended R-boot |
| R-boot | 1.3.30-lp154.192.1 | Package provides recommended R-boot |
| R-boot | 1.3.30-lp155.192.1 | Package provides recommended R-boot |
| R-boot | 1.3.30-194.138 | Package provides recommended R-boot |
| R-boot | 1.3.30-194.138 | Package provides recommended R-boot |
| R-boot | 1.3.30-50.1 | Package provides recommended R-boot |
| R-boot | 1.3.30-56.163 | Package provides recommended R-boot |
| R-boot | 1.3.30-50.1 | Package provides recommended R-boot |
| R-boot | 1.3.30-192.1 | Package provides recommended R-boot |
| R-boot | 1.3.30-50.0.2.1.sr20240605 | Package provides recommended R-boot |
| R-boot | 1.3.30-56.163 | Package provides recommended R-boot |
| R-boot | 1.3.30-50.1 | Package provides recommended R-boot |
| R-boot.heterogeneity | 1.1.5-lp153.18.2 | A Bootstrap-Based Heterogeneity Test for Meta-Analysis |
| R-boot.pval | 0.4.1-lp153.6.5 | Bootstrap p-Values |
| R-bootComb | 1.1.2-lp153.1.11 | Combine Parameter Estimates via Parametric Bootstrap |
| R-bootES | 1.3.0-lp153.1.5 | Bootstrap Confidence Intervals on Effect Sizes |
| R-bootf2 | 0.4.1-lp153.9.4 | Simulation and Comparison of Dissolution Profiles |
| R-bootGOF | 0.1.0-lp153.1.12 | Bootstrap Based Goodness-of-Fit Tests |
| R-bootLR | 1.0.2-lp153.2.13 | Bootstrapped Confidence Intervals for (Negative) Likelihood |
| R-BootMRMR | 0.1-lp153.2.13 | Bootstrap-MRMR Technique for Informative Gene Selection |
| R-bootnet | 1.5.3-lp153.2.5 | Bootstrap Methods for Various Network Estimation Routines |
| R-BootPR | 1.0-lp153.1.5 | Bootstrap Prediction Intervals and Bias-Corrected Forecastin |
| R-bootRes | 1.2.4-lp153.2.13 | Bootstrapped Response and Correlation Functions |
| R-bootruin | 1.2.4-lp153.2.13 | A Bootstrap Test for the Probability of Ruin in the Classica |
| R-bootspecdens | 3.0-lp153.2.13 | Testing equality of spectral densities |
| R-bootStepAIC | 1.3.0-lp153.1.11 | Bootstrap stepAIC |
| R-bootstrap | 2019.6-lp153.2.13 | Functions for the Book \"An Introduction to the Bootstrap\" |
| R-bootstrapFP | 0.4.6-lp153.2.2 | Bootstrap Algorithms for Finite Population Inference |
| R-BootstrapQTL | 1.0.5-lp153.1.12 | Bootstrap cis-QTL Method that Corrects for the Winner\'s Cur |
| R-bootsurv | 0.0.1-lp153.2.2 | Bootstrap Methods for Complete Survey Data |
| R-bootSVD | 1.1-lp153.1.13 | Fast, Exact Bootstrap Principal Component Analysis for High |
| R-boottol | 2.0-lp153.2.13 | Bootstrap Tolerance Levels for Credit Scoring Validation Sta |
| R-BootWPTOS | 1.2.1-lp153.3.5 | Test Stationarity using Bootstrap Wavelet Packet Tests |
| R-Boptbd | 1.0.5-lp153.7.4 | Bayesian Optimal Block Designs |
| R-bor | 0.1.0-lp153.2.13 | Transforming Behavioral Observation Records into Data Matric |
| R-boral | 2.0.2-lp153.3.2 | Bayesian Ordination and Regression AnaLysis |
| R-Boruta | 8.0.0-lp153.2.7 | Wrapper Algorithm for All Relevant Feature Selection |
| R-BOSO | 1.0.4-lp153.2.2 | Bilevel Optimization Selector Operator |
| R-BoSSA | 3.7-lp153.14.4 | A Bunch of Structure and Sequence Analysis |
| R-bossR | 1.0.4-lp153.1.4 | Biomarker Optimal Segmentation System |
| R-botor | 0.4.0-lp153.2.5 | \'AWS Python SDK\' (\'boto3\') for R |
| R-BoundaryStats | 2.1.1-lp153.1.4 | Boundary Overlap Statistics |
| R-BoundEdgeworth | 0.1.2.1-lp153.1.5 | Bound on the Error of the First-Order Edgeworth Expansion |
| R-boussinesq | 1.0.6-lp153.1.5 | Analytic Solutions for (Ground-Water) Boussinesq Equation |
| R-boutliers | 1.1.2-lp153.1.5 | Outlier Detection and Influence Diagnostics for Meta-Analysi |
| R-box | 1.2.0-lp153.1.4 | Write Reusable, Composable and Modular R Code |
| R-boxfilter | 0.2-lp153.1.5 | Filter Noisy Data |
| R-boxly | 0.1.1-lp153.6.2 | Interactive Box Plot |
| R-boxplotcluster | 0.3-lp153.1.4 | Clustering Method Based on Boxplot Statistics |
| R-boxplotdbl | 1.4.0-lp153.1.10 | Double Box Plot for Two-Axes Correlation |
| R-bp | 2.1.0-lp153.8.2 | Blood Pressure Analysis in R |
| R-bpa | 0.1.1-lp153.3.7 | Basic Pattern Analysis |
| R-bpAcc | 0.0.2-lp153.1.4 | Blood Pressure Device Accuracy Evaluation: Statistical Consi |
| R-bpbounds | 0.1.6-lp154.1.1 | Nonparametric Bounds for the Average Causal Effect Due to Ba |
| R-bpbounds | 0.1.6-lp153.1.2 | Nonparametric Bounds for the Average Causal Effect Due to Ba |
| R-bpbounds | 0.1.6-lp155.1.1 | Nonparametric Bounds for the Average Causal Effect Due to Ba |
| R-bpca | 1.3.4-lp153.14.5 | Biplot of Multivariate Data Based on Principal Components An |
| R-bpcp | 1.4.2-lp153.6.5 | Beta Product Confidence Procedure for Right Censored Data |
| R-bpDir | 0.1.2-lp153.1.12 | Boxplots for Directional Data |
| R-bPeaks | 1.2-lp153.2.13 | bPeaks: an intuitive peak-calling strategy to detect transcr |
| R-bpmnVisualizationR | 0.5.0-lp153.8.2 | Visualize Process Execution Data on \'BPMN\' Diagrams |
| R-BPmodel | 1.1.2-lp153.3.10 | Beta-Prime Regression Model |
| R-bpp | 1.0.4-lp153.1.11 | Computations Around Bayesian Predictive Power |
| R-bqtl | 1.0.36-lp153.1.4 | Bayesian QTL mapping toolkit |
| R-bracer | 1.2.2-lp153.2.2 | Brace Expansions |
| R-BRACoD.R | 0.0.2.0-lp153.3.5 | BRACoD: Bayesian Regression Analysis of Compositional Data |
| R-BradleyTerry2 | 1.0_5-lp154.1.10 | Bradley-Terry models |
| R-BradleyTerry2 | 1.0_5-lp153.1.30 | Bradley-Terry models |
| R-braids | 1.0.0-lp153.2.2 | The Braid Groups |
| R-BrainCon | 0.3.0-lp153.1.5 | Inference the Partial Correlations Based on Time Series Data |
| R-brainGraph | 3.1.0-lp153.2.2 | Graph Theory Analysis of Brain MRI Data |
| R-brainKCCA | 0.1.0-lp153.27.5 | Region-Level Connectivity Network Construction via Kernel Ca |
| R-brainR | 1.6.0-lp153.17.5 | Helper Functions to \'misc3d\' and \'rgl\' Packages for Brai |
| R-Branching | 0.9.7-lp153.1.4 | Simulation and Estimation for Branching Processes |
| R-brandwatchR | 0.3.0-lp153.2.12 | \'Brandwatch\' API to R |
| R-brant | 0.3.0-lp153.2.13 | Test for Parallel Regression Assumption |
| R-braQCA | 1.2.1.29-lp153.12.2 | Bootstrapped Robustness Assessment for Qualitative Comparati |
| R-brassica | 1.0.2-lp153.1.7 | 1970s BASIC Interpreter |
| R-BrazilMet | 0.2.0-lp153.7.2 | Download and Processing of Automatic Weather Stations (AWS) |
| R-brclimr | 0.2.0-lp153.2.2 | Fetch Zonal Statistics of Weather Indicators for Brazilian M |
| R-BRDT | 0.1.0-lp153.2.13 | Binomial Reliability Demonstration Tests |
| R-bread | 0.4.1-lp153.1.5 | Analyze Big Files Without Loading Them in Memory |
| R-breakage | 1.1.1-lp153.2.13 | SICM pipette tip geometry estimation |
| R-breakDown | 0.2.2-lp153.2.2 | Model Agnostic Explainers for Individual Predictions |
| R-BreakPoints | 1.2-lp153.2.13 | Identify Breakpoints in Series of Data |
| R-breathtestcore | 0.8.7-lp153.3.2 | Core Functions to Read and Fit 13c Time Series from Breath T |
| R-bReeze | 0.4.4-lp153.1.4 | Functions for Wind Resource Assessment |
| R-BRETIGEA | 1.0.3-lp153.1.13 | Brain Cell Type Specific Gene Expression Analysis |
| R-brew | 1.0_6-1.38 | Templating Framework for Report Generation |
| R-brew | 1.0_6-lp155.1.5 | Templating Framework for Report Generation |
| R-brew | 1.0_6-1.28 | Templating Framework for Report Generation |
| R-brew | 1.0_6-lp154.1.10 | Templating Framework for Report Generation |
| R-brew | 1.0.10-lp153.1.4 | Templating Framework for Report Generation |
| R-brew | 1.0_6-lp153.1.26 | Templating Framework for Report Generation |
| R-brglm | 0.5_9-lp153.3.23 | Bias reduction in binomial-response generalized linear model |
| R-brglm | 0.7.2-lp153.1.13 | Bias reduction in binomial-response generalized linear model |
| R-brglm | 0.5_9-3.29 | Bias reduction in binomial-response generalized linear model |
| R-brglm | 0.5_9-3.38 | Bias reduction in binomial-response generalized linear model |
| R-brglm | 0.5_9-lp154.3.10 | Bias reduction in binomial-response generalized linear model |
| R-brglm | 0.5_9-lp155.3.5 | Bias reduction in binomial-response generalized linear model |
| R-brglm2 | 0.9.2-lp153.1.5 | Bias Reduction in Generalized Linear Models |
| R-brickr | 0.3.5-lp153.14.12 | Emulate LEGO Bricks in 2D and 3D |
| R-brickset | 2024.0.0-lp153.3.2 | Interface with the Brickset API for Getting Data About LEGO |
| R-bridgedist | 0.1.2-lp153.2.7 | An Implementation of the Bridge Distribution with Logit-Link |
| R-bridger2 | 0.1.0-lp153.25.2 | Genome-Wide RNA Degradation Analysis Using BRIC-Seq Data |
| R-bridgesampling | 0.5.2-1.75 | Bridge Sampling for Marginal Likelihoods and Bayes Factors |
| R-bridgesampling | 0.5.2-1.24 | Bridge Sampling for Marginal Likelihoods and Bayes Factors |
| R-bridgesampling | 1.1.2-lp153.7.2 | Bridge Sampling for Marginal Likelihoods and Bayes Factors |
| R-bridgesampling | 0.5.2-lp153.1.23 | Bridge Sampling for Marginal Likelihoods and Bayes Factors |
| R-briKmeans | 1.0-lp153.2.7 | Package for Brik, Fabrik and Fdebrik Algorithms to Initialis |
| R-BRINDA | 0.1.5-lp153.16.2 | Computation of BRINDA Adjusted Micronutrient Biomarkers for |
| R-brio | 1.1.5-lp153.2.2 | Basic R Input Output |
| R-briqr | 0.1.0-lp153.13.7 | Interface to the \'Briq\' API |
| R-brisk | 0.1.0-lp153.6.2 | Bayesian Benefit Risk Analysis |
| R-BRL | 0.1.0-lp153.2.13 | Beta Record Linkage |
| R-brlrmr | 0.1.7-lp153.4.7 | Bias Reduction with Missing Binary Response |
| R-brm | 1.1.1-lp153.2.13 | Binary Regression Model |
| R-brnn | 0.9.3-lp153.1.4 | Bayesian Regularization for Feed-Forward Neural Networks |
| R-Brobdingnag | 1.2.6-1.26 | Very large numbers in R |
| R-Brobdingnag | 1.2.6-1.38 | Very large numbers in R |
| R-Brobdingnag | 1.2.9-lp153.1.8 | Very large numbers in R |
| R-Brobdingnag | 1.2.6-lp154.1.10 | Very large numbers in R |
| R-Brobdingnag | 1.2.6-lp153.1.25 | Very large numbers in R |
| R-Brobdingnag | 1.2.6-lp155.1.5 | Very large numbers in R |
| R-BrokenAdaptiveRidge | 1.0.0-lp153.4.2 | Broken Adaptive Ridge Regression with Cyclops |
| R-brolgar | 1.0.1-lp153.2.2 | Browse Over Longitudinal Data Graphically and Analytically i |
| R-broman | 0.84-lp153.2.2 | Karl Broman\'s R Code |
| R-broom | 0.7.0-1.28 | Convert Statistical Objects into Tidy Tibbles |
| R-broom | 0.7.0-lp153.1.25 | Convert Statistical Objects into Tidy Tibbles |
| R-broom | 0.7.0-1.34 | Convert Statistical Objects into Tidy Tibbles |
| R-broom.mixed | 0.2.6-1.33 | Tidying Methods for Mixed Models |
| R-broom.mixed | 0.2.6-lp153.1.23 | Tidying Methods for Mixed Models |
| R-broom.mixed | 0.2.6-1.24 | Tidying Methods for Mixed Models |
| R-broom.mixed | 0.2.9.5-lp153.3.2 | Tidying Methods for Mixed Models |
| R-broomExtra | 4.3.2-lp153.1.10 | Enhancements for \'broom\' and \'easystats\' Package Familie |
| R-BrownDog | 0.2.1-lp153.7.5 | Brown Dog R Interface |
| R-brpop | 0.3.0-lp153.3.2 | Brazilian Population Estimatives |
| R-Brq | 3.0-lp153.2.13 | Bayesian Analysis of Quantile Regression Models |
| R-brr | 1.0.0-lp153.6.7 | Bayesian Inference on the Ratio of Two Poisson Rates |
| R-brranching | 0.7.0-lp153.12.7 | Fetch \'Phylogenies\' from Many Sources |
| R-brt | 1.3.0-lp153.7.13 | Biological Relevance Testing |
| R-brulee | 0.3.0-lp153.1.4 | High-Level Modeling Functions with \'torch\' |
| R-brunnermunzel | 2.0-lp153.1.8 | (Permuted) Brunner-Munzel Test |
| R-BRVM | 5.3.0-lp153.4.2 | Retrieve Historical Data of Companies Listed on the \'BRVM\' |
| R-bs4cards | 0.1.1-lp153.6.2 | Generate Bootstrap Cards |
| R-BSagri | 0.1.10-lp153.6.7 | Safety Assessment in Agricultural Field Trials |
| R-bsamGP | 1.2.5-lp153.2.2 | Bayesian Spectral Analysis Models using Gaussian Process Pri |
| R-BSBT | 1.2.1-lp153.4.5 | The Bayesian Spatial Bradley--Terry Model |
| R-bscaling | 1.0-lp153.2.13 | Variable Binary Scaling |
| R-bscui | 0.1.5-lp153.2.2 | Build SVG Custom User Interface |
| R-BSDA | 1.2.2-lp153.1.5 | Basic Statistics and Data Analysis |
| R-bsgof | 0.23.8-lp153.1.5 | Birnbaum-Saunders Goodness-of-Fit Test |
| R-BSGS | 2.0-lp153.2.13 | Bayesian Sparse Group Selection |
| R-BSGW | 0.9.4-lp153.2.7 | Bayesian Survival Model with Lasso Shrinkage Using Generaliz |
| R-bshazard | 1.2-lp153.2.2 | Nonparametric Smoothing of the Hazard Function |
| R-bsicons | 0.1.2-lp153.3.2 | Easily Work with \'Bootstrap\' Icons |
| R-bSims | 0.3.2-lp153.2.2 | Agent-Based Bird Point Count Simulator |
| R-bskyr | 0.1.2-lp153.1.4 | Interact with \'Bluesky\' Social |
| R-BsMD | 2013.0718-lp153.2.26 | Bayes Screening and Model Discrimination |
| R-BsMD | 2013.0718-2.38 | Bayes Screening and Model Discrimination |
| R-BsMD | 2013.0718-2.32 | Bayes Screening and Model Discrimination |
| R-BsMD | 2013.0718-lp154.2.10 | Bayes Screening and Model Discrimination |
| R-BsMD | 2023.920-lp153.1.5 | Bayes Screening and Model Discrimination |
| R-BsMD | 2013.0718-lp155.2.5 | Bayes Screening and Model Discrimination |
| R-bspec | 1.6-lp153.1.9 | Bayesian Spectral Inference |
| R-bsplus | 0.1.4-lp153.13.2 | Adds Functionality to the R Markdown + Shiny Bootstrap Frame |
| R-bspm | 0.5.7-lp153.2.2 | Bridge to System Package Manager |
| R-bspmma | 0.1.2-lp153.2.13 | Bayesian Semiparametric Models for Meta-Analysis |
| R-bsreg | 0.0.2-lp153.1.11 | Bayesian Spatial Regression Models |
| R-BSS | 0.1.0-lp153.11.4 | Brownian Semistationary Processes |
| R-BSSasymp | 1.2.3-lp153.2.7 | Asymptotic Covariance Matrices of Some BSS Mixing and Unmixi |
| R-BSSoverSpace | 0.1.0-lp153.7.2 | Blind Source Separation for Multivariate Spatial Data using |
| R-bst | 0.3.24-lp153.1.7 | Gradient Boosting |
| R-bsTools | 1.0.5-lp153.1.8 | Create HTML Content with Bootstrap 5 Classes and Layouts |
| R-bstrl | 1.0.2-lp153.2.7 | Bayesian Streaming Record Linkage |
| R-bsts | 0.9.10-lp153.1.4 | Bayesian Structural Time Series |
| R-bsub | 1.1.0-lp153.1.12 | Submitter and Monitor of the \'LSF Cluster\' |
| R-BSW | 0.1.1-lp153.1.13 | Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenp |
| R-BT | 0.4-lp153.1.5 | (Adaptive) Boosting Trees Algorithm |
| R-btergm | 1.10.12-lp153.2.2 | Temporal Exponential Random Graph Models by Bootstrapped Pse |
| R-BTSPAS | 2024.5.9-lp153.2.2 | Bayesian Time-Stratified Population Analysis |
| R-BTSR | 0.1.5-lp153.1.5 | Bounded Time Series Regression |
| R-bubbleHeatmap | 0.1.1-lp153.1.5 | Produces \'bubbleHeatmap\' Plots for Visualising Metabolomic |
| R-bubblyr | 0.1.2-lp153.8.2 | Beautiful Bubbles for \'shiny\' and \'rmarkdown\' Background |
| R-bucky | 1.0.7-lp153.1.10 | Bucky\'s Archive for Data Analysis in the Social Sciences |
| R-BUCSS | 1.2.1-lp153.2.13 | Bias and Uncertainty Corrected Sample Size |
| R-buffeRs | 0.31-lp153.3.7 | Buffer Generation for Spatial Models |
| R-buildr | 0.1.1-lp153.7.2 | Organize & Run Build Scripts Comfortably |
| R-BuildSys | 1.1.2-lp153.1.12 | System for Building and Debugging C/C++ Dynamic Libraries |
| R-bujar | 0.2.11-lp153.4.3 | Buckley-James Regression for Survival Data with High-Dimensi |
| R-bulkQC | 1.1-lp153.2.2 | Quality Control and Outlier Identification in Bulk for Multi |
| R-bulkreadr | 1.1.1-lp153.2.2 | The Ultimate Tool for Reading Data in Bulk |
| R-bulletcp | 1.0.0-lp153.14.7 | Automatic Groove Identification via Bayesian Changepoint Det |
| R-bulletr | 0.1-lp153.28.2 | Algorithms for Matching Bullet Lands |
| R-bullishTrader | 1.0.1-lp153.1.8 | Bullish Trading Strategies Through Graphs |
| R-bullwhipgame | 0.1.0-lp153.13.2 | Bullwhip Effect Demo in Shiny |
| R-bumbl | 1.0.3-lp153.3.2 | Tools for Modeling Bumblebee Colony Growth and Decline |
| R-bumblebee | 0.1.0-lp153.25.2 | Quantify Disease Transmission Within and Between Population |
| R-bunching | 0.8.6-lp153.6.2 | Estimate Bunching |
| R-bunchr | 1.2.0-lp153.13.2 | Analyze Bunching in a Kink or Notch Setting |
| R-bundesbank | 0.1.12-lp153.2.2 | Download Data from Bundesbank |
| R-bundesligR | 0.1.0-lp153.2.13 | All Final Tables of the Bundesliga |
| R-bundle | 0.1.0-lp153.3.7 | Serialize Model Objects with a Consistent Interface |
| R-bupaR | 0.5.4-lp153.2.2 | Business Process Analysis in R |
| R-bupaverse | 0.1.0-lp153.14.3 | Easily Install and Load the \'bupaverse\' |
| R-burgle | 0.1.0-lp153.1.2 | \'Burgle\': Stealing the Necessary Parts of Model Objects |
| R-burnr | 0.6.1-lp153.8.2 | Forest Fire History Analysis |
| R-bursa | 0.1.0-lp153.2.4 | R Wrapper for Bursa Municipality Open Data Portal |
| R-BurStFin | 1.3-lp153.1.10 | Burns Statistics Financial |
| R-BurStMisc | 1.1-lp153.2.13 | Burns Statistics Miscellaneous |
| R-bursts | 1.0.2-lp153.1.8 | Markov Model for Bursty Behavior in Streams |
| R-busdater | 0.2.0-lp153.6.7 | Standard Date Calculations for Business |
| R-BusinessDuration | 0.2.0-lp153.2.13 | Calculates Business Duration Between Two Dates |
| R-businessPlanR | 0.1.0-lp153.6.2 | Simple Modelling Tools for Business Plans |
| R-butcher | 0.3.4-lp153.2.2 | Model Butcher |
| R-butterflyOptions | 1.0.1-lp153.2.7 | Trading Butterfly Options Strategies |
| R-Bvalue | 1.0-lp153.2.13 | B-Value and Empirical Equivalence Bound |
| R-BVAR | 1.0.5-lp153.1.4 | Hierarchical Bayesian Vector Autoregression |
| R-BVARverse | 0.0.1-lp153.18.2 | Tidy Bayesian Vector Autoregression |
| R-bvenn | 0.1-lp153.2.13 | A Simple alternative to proportional Venn diagrams |
| R-bvls | 1.4-lp153.2.13 | The Stark-Parker algorithm for bounded-variable least square |
| R-bvpa | 1.0.0-lp153.1.5 | Bivariate Pareto Distribution |
| R-bvpSolve | 1.4.4.1-lp153.1.5 | Solvers for Boundary Value Problems of Differential Equation |
| R-bwd | 0.1.0-lp153.2.13 | Backward Procedure for Change-Point Detection |
| R-BWGS | 0.2.1-lp153.5.2 | BreedWheat Genomic Selection Pipeline |
| R-bwimage | 1.3-lp153.2.13 | Describe Image Patterns in Natural Structures |
| R-BwQuant | 0.1.0-lp153.1.11 | Bandwidth Selectors for Local Linear Quantile Regression |
| R-bwsTools | 1.2.0-lp153.15.4 | Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs |
| R-bysykkel | 0.3.1-lp153.13.7 | Get City Bike Data from Norway |
| R-bytescircle | 1.1.2-lp153.1.11 | Statistics About Bytes Contained in a File as a Circle Plot |
| R-c060 | 0.3.0-lp153.1.5 | Extended Inference for Lasso and Elastic-Net Regularized Cox |
| R-C19dNUTS | 1.0.1-lp153.1.8 | Dataset of Regional COVID-19 Deaths per 100,000 Pop (NUTS) |
| R-c212 | 0.98-lp153.2.13 | Methods for Detecting Safety Signals in Clinical Trials Usin |
| R-c2c | 0.1.0-lp153.2.13 | Compare Two Classifications or Clustering Solutions of Varyi |
| R-c2d4u.tools | 1.2-lp153.1.12 | \'c2d4u\' - CRAN Packages for \'Ubuntu\' |
| R-c2z | 0.2.0-lp153.2.4 | A Reference Manager |
| R-c3 | 0.3.0-lp153.28.2 | \'C3.js\' Chart Library |
| R-c3net | 1.1.1.1-lp153.6.4 | Inferring Large-Scale Gene Networks with C3NET |
| R-C443 | 3.4.0-lp153.2.4 | See a Forest for the Trees |
| R-C50 | 0.1.8-lp153.2.2 | C5.0 Decision Trees and Rule-Based Models |
| R-ca | 0.71.1-lp153.2.13 | Simple, Multiple and Joint Correspondence Analysis |
| R-cabinets | 0.6.0-lp153.7.5 | Project Specific Workspace Organization Templates |
| R-cabootcrs | 2.1.0-lp153.1.11 | Bootstrap Confidence Regions for Simple and Multiple Corresp |
| R-cache | 0.0.3-lp153.2.8 | Cache and Retrieve Computation Results |
| R-cachem | 1.1.0-lp153.2.2 | Cache R Objects with Automatic Pruning |
| R-cacIRT | 1.4-lp153.2.13 | Classification Accuracy and Consistency under Item Response |
| R-CaDENCE | 1.2.5-lp153.2.13 | Conditional Density Estimation Network Construction and Eval |
| R-caesar | 1.1.0-lp153.2.13 | Encrypts and Decrypts Strings |
| R-caffsim | 0.2.2-lp153.25.2 | Simulation of Plasma Caffeine Concentrations by Using Popula |
| R-CAGR | 1.1.0-lp153.2.2 | Compound Annual Growth Rate |
| R-Cairo | 1.5.12-lp153.1.24 | R graphics device using cairo graphics library |
| R-Cairo | 1.5.12-lp154.1.10 | R graphics device using cairo graphics library |
| R-Cairo | 1.5.12-1.33 | R graphics device using cairo graphics library |
| R-Cairo | 1.5.12-1.26 | R graphics device using cairo graphics library |
| R-Cairo | 1.5.12-lp155.1.5 | R graphics device using cairo graphics library |
| R-Cairo | 1.6.2-lp153.1.4 | R graphics device using cairo graphics library for creating |
| R-CAISEr | 1.0.17-lp153.2.5 | Comparison of Algorithms with Iterative Sample Size Estimati |
| R-calACS | 2.2.2-lp153.2.13 | Calculations for All Common Subsequences |
| R-CalcThemAll.PRM | 1.1.1-lp153.2.2 | Calculate Pesticide Risk Metric (PRM) Values from Multiple P |
| R-Calculator.LR.FNs | 1.3-lp153.2.13 | Calculator for LR Fuzzy Numbers |
| R-calcUnique | 0.1.2-lp153.2.13 | Simple Wrapper for Computationally Expensive Functions |
| R-calcWOI | 1.0.3-lp153.2.13 | Calculates the Wavelet-Based Organization Index |
| R-CALF | 1.0.17-lp153.6.5 | Coarse Approximation Linear Function |
| R-calibrate | 1.7.7-lp153.2.13 | Calibration of Scatterplot and Biplot Axes |
| R-calibrateBinary | 0.1-lp153.3.7 | Calibration for Computer Experiments with Binary Responses |
| R-CalibrateSSB | 1.3.0-lp153.6.2 | Weighting and Estimation for Panel Data with Non-Response |
| R-calibrator | 1.2.8-lp153.3.7 | Bayesian Calibration of Complex Computer Codes |
| R-calidad | 0.5.0-lp153.6.2 | Assesses the Quality of Estimates Made by Complex Sample Des |
| R-caliver | 2.0.0-lp153.1.12 | Calibration and Verification of Gridded Model Outputs |
| R-CallEshotgun | 0.2.0-lp153.3.11 | Providing an Interface to the e-Shotgun Algorithm for Bayesi |
| R-callr | 3.4.3-1.29 | Call R from R |
| R-callr | 3.4.3-1.26 | Call R from R |
| R-callr | 3.4.3-lp154.1.10 | Call R from R |
| R-callr | 3.4.3-lp153.1.25 | Call R from R |
| R-callr | 3.7.6-lp153.2.2 | Call R from R |
| R-callr | 3.4.3-lp155.1.5 | Call R from R |
| R-callsync | 0.2.3-lp153.2.2 | Recording Synchronisation, Call Detection and Assignment, Au |
| R-calpassapi | 0.0.3-lp153.16.2 | R Interface to Access CalPASS API |
| R-CAMAN | 0.78-lp153.1.5 | Finite Mixture Models and Meta-Analysis Tools - Based on C.A |
| R-camerondata | 1.0.0-lp153.1.10 | Datasets from \"Microeconometrics: Methods and Applications\ |
| R-campaignmanageR | 0.1.0-lp153.1.8 | Connect to Campaign Manager via the \'Windsor.ai\' API |
| R-campfin | 1.0.11-lp153.2.2 | Wrangle Campaign Finance Data |
| R-campsismod | 1.1.1-lp153.1.4 | Generic Implementation of a PK/PD Model |
| R-camsRad | 0.3.0-lp153.3.4 | Client for CAMS Radiation Service |
| R-caMST | 0.1.6-lp153.1.8 | Mixed Computerized Adaptive Multistage Testing |
| R-camtrapR | 2.3.0-lp153.2.2 | Camera Trap Data Management and Preparation of Occupancy and |
| R-canadacovid | 0.3.4-lp153.8.7 | API Wrapper for the Canadian COVID-19 Tracker |
| R-canadianmaps | 2.0.0-lp153.2.2 | Effortlessly Create Stunning Canadian Maps |
| R-canaper | 1.0.1-lp153.3.4 | Categorical Analysis of Neo- And Paleo-Endemism |
| R-cancensus | 0.5.7-lp153.1.4 | Access, Retrieve, and Work with Canadian Census Data and Geo |
| R-CancerEvolutionVisualization | 2.0.1-lp153.2.2 | Publication Quality Phylogenetic Tree Plots |
| R-cancerscreening | 1.1.1-lp153.1.2 | Streamline Access to Cancer Screening Data |
| R-cancerTiming | 3.1.8-lp153.3.12 | Estimation of Temporal Ordering of Cancer Abnormalities |
| R-candisc | 0.8.6-lp153.15.5 | Visualizing Generalized Canonical Discriminant and Canonical |
| R-Canopy | 1.3.0-lp153.13.5 | Accessing Intra-Tumor Heterogeneity and Tracking Longitudina |
| R-canprot | 2.0.0-lp153.2.2 | Chemical Analysis of Proteins |
| R-cansim | 0.3.16-lp153.2.2 | Accessing Statistics Canada Data Table and Vectors |
| R-CANSIM2R | 1.14.1-lp153.28.2 | Directly Extracts Complete CANSIM Data Tables |
| R-canvasXpress.data | 1.34.2-lp153.1.12 | Datasets for the \'canvasXpress\' Package |
| R-cap | 1.0-lp153.2.13 | Covariate Assisted Principal (CAP) Regression for Covariance |
| R-cape | 3.1.2-lp153.2.4 | Combined Analysis of Pleiotropy and Epistasis for Diversity |
| R-caper | 1.0.3-lp153.1.5 | Comparative Analyses of Phylogenetics and Evolution in R |
| R-capitalR | 1.3.0-lp153.2.13 | Capital Budgeting Analysis, Annuity Loan Calculations and Am |
| R-capl | 1.42-lp153.3.2 | Compute and Visualize CAPL-2 Scores and Interpretations |
| R-caplot | 0.2-lp153.1.5 | Correspondence Analysis with Geometric Frequency Interpretat |
| R-capn | 1.0.0-lp153.2.13 | Capital Asset Pricing for Nature |
| R-captioner | 2.2.3-lp153.2.13 | Numbers Figures and Creates Simple Captions |
| R-captr | 0.3.0-lp153.2.13 | Client for the Captricity API |
| R-capushe | 1.1.2-lp153.1.4 | CAlibrating Penalities Using Slope HEuristics |
| R-capwire | 1.1.4-lp153.2.13 | Estimates population size from non-invasive sampling |
| R-car | 3.0.6-lp153.1.30 | Companion to Applied Regression |
| R-carbonate | 0.1.4-lp153.7.2 | Interact with \'carbon.js\' |
| R-carData | 3.0.1-lp155.1.5 | Companion to Applied Regression Data Sets |
| R-carData | 3.0.5-lp153.1.11 | Companion to Applied Regression Data Sets |
| R-carData | 3.0.1-lp153.1.27 | Companion to Applied Regression Data Sets |
| R-carData | 3.0.1-1.25 | Companion to Applied Regression Data Sets |
| R-carData | 3.0.1-lp154.1.10 | Companion to Applied Regression Data Sets |
| R-carData | 3.0.1-1.38 | Companion to Applied Regression Data Sets |
| R-cardidates | 0.4.9-lp153.1.5 | Identification of Cardinal Dates in Ecological Time Series |
| R-cardinalR | 0.1.1-lp153.2.2 | Collection of Data Structures |
| R-cardioModel | 1.4-lp153.2.13 | Cardiovascular Safety Exposure-Response Modeling in Early-Ph |
| R-care | 1.1.11-lp153.1.11 | High-Dimensional Regression and CAR Score Variable Selection |
| R-CARE1 | 1.1.0-lp153.2.13 | Statistical package for population size estimation in captur |
| R-care4cmodel | 1.0.2-lp153.1.2 | Carbon-Related Assessment of Silvicultural Concepts |
| R-caRecall | 0.1.0-lp153.9.5 | Government of Canada Vehicle Recalls Database API Wrapper |
| R-caresid | 0.1-lp153.1.5 | Correspondence Analysis Plot and Associations Visualisation |
| R-carfima | 2.0.2-lp153.4.7 | Continuous-Time Fractionally Integrated ARMA Process for Irr |
| R-cargo | 0.4.9-lp153.1.5 | Develop R Packages using Rust |
| R-caribou | 1.1.1-lp153.1.10 | Estimation of Caribou Abundance Based on Radio Telemetry Dat |
| R-CARLIT | 1.0-lp153.2.13 | Ecological Quality Ratios Calculation and Plot |
| R-CARM | 1.1.0-lp153.1.5 | Covariate-Adjusted Adaptive Randomization via Mahalanobis-Di |
| R-caROC | 0.1.5-lp153.3.11 | Continuous Biomarker Evaluation with Adjustment of Covariate |
| R-caroline | 0.9.2-lp153.1.4 | A Collection of Database, Data Structure, Visualization, and |
| R-carpenter | 0.2.2-lp153.15.2 | Build Common Tables of Summary Statistics for Reports |
| R-carrier | 0.1.1-lp153.1.5 | Isolate Functions for Remote Execution |
| R-CARRoT | 3.0.2-lp153.1.5 | Predicting Categorical and Continuous Outcomes Using One in |
| R-CARS | 0.2.2-lp153.4.11 | Covariate Assisted Ranking and Screening for Large-Scale Two |
| R-cartograflow | 1.0.5-lp153.4.2 | Filtering Matrix for Flow Mapping |
| R-carx | 0.7.1-lp153.2.13 | Censored Autoregressive Model with Exogenous Covariates |
| R-casabourse | 2.0.0-lp153.4.4 | Casablanca Stock Exchange Data |
| R-CascadeData | 1.4-lp153.2.7 | Experimental Data of Cascade Experiments in Genomics |
| R-cascadeSelect | 1.1.0-lp153.4.2 | A Cascade Select Input for \'Shiny\' |
| R-cascadess | 0.1.0-lp153.3.12 | A Style Pronoun for \'htmltools\' Tags |
| R-caschrono | 2.4-lp153.2.4 | Series Temporelles Avec R |
| R-CASCORE | 0.1.2-lp153.1.5 | Covariate Assisted Spectral Clustering on Ratios of Eigenvec |
| R-CaseCohortCoxSurvival | 0.0.34-lp153.1.4 | Case-Cohort Cox Survival Inference |
| R-caseMatch | 1.1.0-lp153.1.5 | Identify Similar Cases for Qualitative Case Studies |
| R-casen | 0.2.1-lp153.1.8 | Metodos De Estimacion Con Disenio Probabilistico y Estratifi |
| R-cases | 0.1.1-lp153.1.5 | Stratified Evaluation of Subgroup Classification Accuracy |
| R-casino | 0.1.0-lp153.17.2 | Play Casino Games |
| R-CASMI | 1.2.2-lp153.1.4 | \'CASMI\'-Based Functions |
| R-cassandRa | 0.2.0-lp153.1.2 | Finds Missing Links and Metric Confidence Intervals in Ecolo |
| R-cat | 0.0.9-lp153.1.5 | Analysis and Imputation of Categorical-Variable Datasets wit |
| R-cat.dt | 0.3.1-lp153.6.8 | Computerized Adaptive Testing and Decision Trees |
| R-cat2cat | 0.4.7-lp153.1.4 | Handling an Inconsistently Coded Categorical Variable in a L |
| R-catalog | 0.1.1-lp153.11.2 | Access the \'Spark Catalog\' API via \'sparklyr\' |
| R-CatastRo | 0.4.0-lp153.1.2 | Interface to the API \'Sede Electronica Del Catastro\' |
| R-catch | 1.0.1-lp153.1.13 | Covariate-Adjusted Tensor Classification in High-Dimensions |
| R-catchr | 0.2.31-lp153.1.12 | Taking the Pain Out of Catching and Handling Conditions |
| R-catcont | 0.5.0-lp153.13.7 | Test, Identify, Select and Mutate Categorical or Continuous |
| R-catdap | 1.3.5-lp153.2.13 | Categorical Data Analysis Program Package |
| R-catdata | 1.2.4-lp153.1.4 | Categorical Data |
| R-CatDataAnalysis | 0.1.5-lp153.1.8 | Datasets for Categorical Data Analysis by Agresti |
| R-categoryEncodings | 1.4.3-lp153.4.7 | Category Variable Encodings |
| R-catenary | 1.1.2-lp153.19.7 | Fits a Catenary to Given Points |
| R-CatEncoders | 0.1.1-lp153.2.13 | Encoders for Categorical Variables |
| R-CateSelection | 1.0-lp153.2.13 | Categorical Variable Selection Methods |
| R-catfun | 0.1.4-lp153.33.2 | Categorical Data Analysis |
| R-catIrt | 0.5.1-lp153.1.9 | Simulate IRT-Based Computerized Adaptive Tests |
| R-CATkit | 3.3.3-lp153.12.11 | Chronomics Analysis Toolkit (CAT): Periodicity Analysis |
| R-catmap | 1.6.4-lp153.6.5 | Case-control And Tdt Meta-Analysis Package |
| R-catmaply | 0.9.4-lp153.4.2 | Heatmap for Categorical Data using \'plotly\' |
| R-catnet | 1.16.1-lp153.1.7 | Categorical Bayesian Network Inference |
| R-caTools | 1.17.1-lp154.1.10 | Tools: moving window statistics, GIF, Base64, ROC AUC, etc. |
| R-caTools | 1.17.1-1.35 | Tools: moving window statistics, GIF, Base64, ROC AUC, etc. |
| R-caTools | 1.17.1-1.39 | Tools: moving window statistics, GIF, Base64, ROC AUC, etc. |
| R-caTools | 1.17.1-lp155.1.5 | Tools: moving window statistics, GIF, Base64, ROC AUC, etc. |
| R-caTools | 1.17.1-lp153.1.25 | Tools: moving window statistics, GIF, Base64, ROC AUC, etc. |
| R-CatPredi | 1.3-lp153.22.2 | Optimal Categorisation of Continuous Variables in Prediction |
| R-catR | 3.17-lp153.1.8 | Generation of IRT Response Patterns under Computerized Adapt |
| R-cats | 1.0.2-lp153.15.2 | Cohort Platform Trial Simulation |
| R-catseyes | 0.2.5-lp153.2.13 | Create Catseye Plots Illustrating the Normal Distribution of |
| R-catspec | 0.97-lp153.2.13 | Special models for categorical variables |
| R-catSplit | 0.1.0-lp153.4.8 | Encode Categorical Variables with Split Information from CAR |
| R-CATT | 2.0-lp153.2.13 | The Cochran-Armitage Trend Test |
| R-CATTexact | 0.1.1-lp153.2.12 | Computation of the p-Value for the Exact Conditional Cochran |
| R-CauchyCP | 0.1.1-lp153.1.8 | Powerful Test for Survival Data under Non-Proportional Hazar |
| R-causact | 0.5.5-lp153.2.2 | Fast, Easy, and Visual Bayesian Inference |
| R-causalCmprsk | 2.0.0-lp153.1.5 | Nonparametric and Cox-Based Estimation of Average Treatment |
| R-causaldata | 0.1.3-lp153.6.5 | Example Data Sets for Causal Inference Textbooks |
| R-causaldrf | 0.4.2-lp153.4.2 | Estimating Causal Dose Response Functions |
| R-causaleffect | 1.3.15-lp153.5.4 | Deriving Expressions of Joint Interventional Distributions a |
| R-CausalGAM | 0.1.4-lp153.2.13 | Estimation of Causal Effects with Generalized Additive Model |
| R-CausalKinetiX | 0.2.1-lp153.13.7 | Learning Stable Structures in Kinetic Systems |
| R-CausalMetaR | 0.1.2-lp153.1.2 | Causally Interpretable Meta-Analysis |
| R-CausalModels | 0.1.0-lp153.4.8 | Causal Inference Modeling for Estimation of Causal Effects |
| R-causalsens | 0.1.3-lp153.2.2 | Selection Bias Approach to Sensitivity Analysis for Causal E |
| R-causalSLSE | 0.3.1-lp153.1.4 | Semiparametric Least Squares Inference for Causal Effects |
| R-CausCor | 0.1.3-lp153.1.4 | Calculate Correlations and Estimate Causality |
| R-CAvariants | 6.0-lp153.5.2 | Correspondence Analysis Variants |
| R-cba | 0.2_14-3.38 | Clustering for Business Analytics |
| R-cba | 0.2_14-lp154.3.10 | Clustering for Business Analytics |
| R-cba | 0.2_14-lp153.3.23 | Clustering for Business Analytics |
| R-cba | 0.2_14-3.30 | Clustering for Business Analytics |
| R-cban | 1.0-lp153.2.13 | Cost Benefit Analysis |
| R-cbanalysis | 0.2.0-lp153.2.13 | Coffee Break Descriptive Analysis |
| R-cbass | 0.1-lp153.1.5 | Classification -- Bayesian Adaptive Smoothing Splines |
| R-CBCgrps | 2.8.2-lp153.1.13 | Compare Baseline Characteristics Between Groups |
| R-CBDA | 1.0.0-lp153.6.8 | Compressive Big Data Analytics |
| R-cbioportalR | 1.1.0-lp153.2.2 | Browse and Query Clinical and Genomic Data from cBioPortal |
| R-cbl | 0.1.3-lp153.2.7 | Causal Discovery under a Confounder Blanket |
| R-CBnetworkMA | 0.1.0-lp153.2.2 | Contrast-Based Bayesian Network Meta Analysis |
| R-CBPS | 0.23-lp153.3.5 | Covariate Balancing Propensity Score |
| R-cbsem | 1.0.0-lp153.2.13 | Simulation, Estimation and Segmentation of Composite Based S |
| R-cbsodataR | 1.0.1-lp153.1.4 | Statistics Netherlands (CBS) Open Data API Client |
| R-CBT | 1.0-lp153.2.13 | Confidence Bound Target Algorithm |
| R-CC | 1.0-lp153.2.13 | Control Charts |
| R-CCA | 1.2.2-lp153.2.4 | Canonical Correlation Analysis |
| R-ccafs | 0.3.0-lp153.1.13 | Client for \'CCAFS\' \'GCM\' Data |
| R-ccboost | 0.1.1.3-lp153.4.11 | Robust Boosting |
| R-cccd | 1.6-lp153.6.4 | Class Cover Catch Digraphs |
| R-ccChooser | 0.2.6-lp153.2.13 | Developing a core collections |
| R-cccm | 0.1.0-lp153.5.7 | Crossed Classification Credibility Model |
| R-ccda | 1.1.1-lp153.2.13 | Combined Cluster and Discriminant Analysis |
| R-ccdf | 1.1.4-lp153.7.7 | Distribution-Free Single-Cell Differential Expression Analys |
| R-cchs | 0.4.4-lp153.1.4 | Cox Model for Case-Cohort Data with Stratified Subcohort-Sel |
| R-cchsflow | 2.1.0-lp153.8.2 | Transforming and Harmonizing CCHS Variables |
| R-ccid | 1.2.0-lp153.2.7 | Cross-Covariance Isolate Detect: a New Change-Point Method f |
| R-cclust | 0.6.26-lp153.1.5 | Convex Clustering Methods and Clustering Indexes |
| R-CCM | 1.2-lp153.2.13 | Correlation Classification Method |
| R-ccmEstimator | 1.0.0-lp153.1.12 | Comparative Causal Mediation Estimation |
| R-ccmm | 1.0-lp153.2.13 | Compositional Mediation Model |
| R-ccoptimalmatch | 0.1.0-lp153.8.7 | Implementation of Case-Control Optimal Matching |
| R-CCP | 1.2-lp153.1.9 | Significance Tests for Canonical Correlation Analysis (CCA) |
| R-CCpop | 1.0-lp153.2.12 | One and two locus GWAS of binary phenotype with case-control |
| R-ccRemover | 1.0.4-lp153.2.13 | Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencin |
| R-ccrs | 0.1.0-lp153.11.2 | Correct and Cluster Response Style Biased Data |
| R-ccss | 1.0-lp153.2.13 | Cluster Circular Systematic Sampling |
| R-ccTensor | 1.0.2-lp153.13.4 | CUR/CX Tensor Decomposition |
| R-cd | 0.1.0-lp153.2.13 | CD Data for Entity Resolution |
| R-cdata | 1.2.1-lp153.1.5 | Fluid Data Transformations |
| R-cdb | 0.0.1-lp153.2.13 | Reading and Writing Constant DataBases |
| R-cdcatR | 1.0.6-lp153.11.5 | Cognitive Diagnostic Computerized Adaptive Testing |
| R-cdcfluview | 0.9.4-lp153.9.5 | Retrieve Flu Season Data from the United States Centers for |
| R-CDCPLACES | 1.1.5-lp153.2.2 | Access the \'CDC PLACES\' API |
| R-cder | 0.3.1-lp153.3.2 | Interface to the California Data Exchange Center (CDEC) |
| R-cdfquantreg | 1.3.1.2-lp153.1.5 | Quantile Regression for Random Variables on the Unit Interva |
| R-CDFt | 1.2-lp153.1.13 | Downscaling and Bias Correction via Non-Parametric CDF-Trans |
| R-CDGHMM | 0.1.0-lp153.2.2 | Hidden Markov Models for Multivariate Panel Data |
| R-CDLasso | 1.1-lp153.2.13 | Coordinate Descent Algorithms for Lasso Penalized L1, L2, an |
| R-cdlei | 1.0-lp153.2.13 | Cause-Deleted Life Expectancy Improvement Procedure |
| R-cdlTools | 1.13-lp153.2.2 | Tools to Download and Work with USDA Cropscape Data |
| R-cdmTools | 1.0.3-lp153.4.5 | Useful Tools for Cognitive Diagnosis Modeling |
| R-CDNmoney | 2012.4.2-lp153.2.13 | Components of Canadian Monetary and Credit Aggregates |
| R-cdom | 0.1.0-lp153.18.2 | R Functions to Model CDOM Spectra |
| R-cdparcoord | 1.0.1-lp153.14.7 | Top Frequency-Based Parallel Coordinates |
| R-CDROM | 1.1-lp153.2.13 | Phylogenetically Classifies Retention Mechanisms of Duplicat |
| R-cds | 1.0.3-lp153.2.12 | Constrained Dual Scaling for Detecting Response Styles |
| R-CDSE | 0.2.0-lp153.2.2 | \'Copernicus Data Space Ecosystem\' API Wrapper |
| R-CDSS | 0.2.0-lp153.2.2 | Course-Dependent Skill Structures |
| R-CDVI | 0.1.0-lp153.2.2 | Cuddy-Della Valle Index for Capturing the Instability in Tim |
| R-CDVineCopulaConditional | 0.1.1-lp153.2.13 | Sampling from Conditional C- and D-Vine Copulas |
| R-ceas | 1.0.0-lp153.2.2 | Cellular Energetics Analysis Software |
| R-cecs | 0.2.4-lp153.1.11 | R Interface for the C Implementation of CEC Benchmark Functi |
| R-CEEMDANML | 0.1.0-lp153.2.3 | CEEMDAN Decomposition Based Hybrid Machine Learning Models |
| R-celestial | 1.4.6-lp153.2.13 | Collection of Common Astronomical Conversion Routines and Fu |
| R-cellOrigins | 0.1.3-lp153.3.12 | Finds RNASeq Source Tissues Using In Situ Hybridisation Data |
| R-cellpypes | 0.3.0-lp153.1.4 | Cell Type Pipes for Single-Cell RNA Sequencing Data |
| R-cellranger | 1.1.0-1.77 | Translate Spreadsheet Cell Ranges to Rows and Columns |
| R-cellranger | 1.1.0-lp153.11.5 | Translate Spreadsheet Cell Ranges to Rows and Columns |
| R-cellranger | 1.1.0-lp153.1.25 | Translate Spreadsheet Cell Ranges to Rows and Columns |
| R-cellranger | 1.1.0-lp154.1.10 | Translate Spreadsheet Cell Ranges to Rows and Columns |
| R-cellranger | 1.1.0-lp155.1.5 | Translate Spreadsheet Cell Ranges to Rows and Columns |
| R-cellranger | 1.1.0-1.28 | Translate Spreadsheet Cell Ranges to Rows and Columns |
| R-cellVolumeDist | 1.4-lp153.1.9 | Functions to Fit Cell Volume Distributions and Thereby Estim |
| R-cem | 1.1.31-lp153.3.5 | Coarsened Exact Matching |
| R-cemco | 0.2-lp153.1.5 | Fit \'CemCO\' Algorithm |
| R-CenBAR | 0.1.1-lp153.4.7 | Broken Adaptive Ridge AFT Model with Censored Data |
| R-cencrne | 1.0.0-lp153.1.7 | Consistent Estimation of the Number of Communities via Regul |
| R-cenGAM | 0.5.3-lp153.2.13 | Censored Regression with Smooth Terms |
| R-censCov | 1.0.0-lp153.2.13 | Linear Regression with a Randomly Censored Covariate |
| R-CensMFM | 3.1-lp153.2.2 | Finite Mixture of Multivariate Censored/Missing Data |
| R-censNID | 0.0.1-lp153.2.13 | censored NID samples |
| R-censo2017 | 0.6.2-lp153.1.5 | Base de Datos de Facil Acceso del Censo 2017 de Chile (2017 |
| R-censorcopula | 2.0-lp153.2.12 | Estimate Parameter of Bivariate Copula |
| R-censReg | 0.5.38-lp153.2.2 | Censored Regression (Tobit) Models |
| R-CensRegMod | 1.0-lp153.2.13 | Fits Normal and Student-t Censored Regression Model |
| R-Census2016 | 0.2.0-lp153.2.13 | Data from the Australian Census 2016 |
| R-censusapi | 0.8.0-lp153.1.8 | Retrieve Data from the Census APIs |
| R-censusGeography | 0.1.0-lp153.4.8 | Changes United States Census Geographic Code into Name of Lo |
| R-censusr | 0.0.4-lp153.17.2 | Collect Data from the Census API |
| R-censusxy | 1.1.1-lp153.2.7 | Access the U.S. Census Bureau\'s Geocoding API System |
| R-censys | 0.1.0-lp153.6.7 | Tools to Query the \'Censys\' API |
| R-centiserve | 1.0.0-lp153.7.4 | Find Graph Centrality Indices |
| R-centralplot | 0.1.0-lp153.14.5 | Show the Strength of Relationships Between Centre and Periph |
| R-centrifugeR | 0.1.7-lp153.5.2 | Non-Trivial Balance of Centrifuge Rotors |
| R-cents | 0.1.41-lp153.1.13 | Censored time series |
| R-CEOdata | 1.3.1.1-lp153.2.2 | Datasets of the CEO (Centre d\'Estudis d\'Opinio) for Opinio |
| R-cepiigeodist | 0.1-lp153.2.13 | CEPII\'s GeoDist Datasets |
| R-CepLDA | 1.0.0-lp153.2.13 | Discriminant Analysis of Time Series in the Presence of With |
| R-cepp | 1.7-lp153.2.13 | Context Driven Exploratory Projection Pursuit |
| R-cepR | 0.1.2-lp153.15.7 | Busca CEPs Brasileiros |
| R-cepreader | 1.2.2-lp153.1.5 | Read \'CEP\' and Legacy \'CANOCO\' Files |
| R-cepumd | 2.1.0-lp153.2.2 | Calculate Consumer Expenditure Survey (CE) Annual Estimates |
| R-cequre | 1.5-lp153.1.5 | Censored Quantile Regression & Monotonicity-Respecting Resto |
| R-cereal | 0.1.0-lp153.1.5 | Serialize \'vctrs\' Objects to \'JSON\' |
| R-CeRNASeek | 2.1.3-lp153.7.4 | Identification and Analysis of ceRNA Regulation |
| R-cernn | 0.1-lp153.2.13 | Covariance Estimation Regularized by Nuclear Norm Penalties |
| R-ceRtainty | 1.0.0-lp153.15.2 | Certainty Equivalent |
| R-Certara.NLME8 | 1.2.4-lp153.4.2 | Utilities for Certara\'s Nonlinear Mixed-Effects Modeling En |
| R-ceser | 1.0.0-lp153.14.7 | Cluster Estimated Standard Errors |
| R-cesR | 0.1.0-lp153.10.2 | Access the Canadian Election Study Datasets |
| R-cetcolor | 0.2.0-lp153.2.13 | CET Perceptually Uniform Colour Maps |
| R-ceterisParibus | 0.4.2-lp153.17.5 | Ceteris Paribus Profiles |
| R-cfa | 0.10.1-lp153.2.2 | Configural Frequency Analysis (CFA) |
| R-CFAcoop | 1.0.0-lp153.21.2 | Colony Formation Assay: Taking into Account Cellular Coopera |
| R-cfbfastR | 1.9.0-lp153.10.5 | Access College Football Play by Play Data |
| R-cfdecomp | 0.4.0-lp153.1.12 | Counterfactual Decomposition: MC Integration of the G-Formul |
| R-CfEstimateQuantiles | 1.0-lp153.2.13 | Estimate quantiles using any order Cornish-Fisher expansion |
| R-CFF | 1.0-lp153.2.13 | Simple Similarity for User-Based Collaborative Filtering Sys |
| R-cffdrs | 1.9.0-lp153.1.4 | Canadian Forest Fire Danger Rating System |
| R-cfid | 0.1.7-lp153.1.4 | Identification of Counterfactual Queries in Causal Models |
| R-cfma | 1.0-lp153.2.13 | Causal Functional Mediation Analysis |
| R-cfmortality | 0.3.0-lp153.2.13 | Cystic Fibrosis Survival Prediction Model Based on Stanojevi |
| R-cforward | 0.1.0-lp153.9.7 | Forward Selection using Concordance/C-Index |
| R-cg | 1.0.3-lp153.31.2 | Compare Groups, Analytically and Graphically |
| R-cgal4h | 0.1.0-lp153.3.7 | \'CGAL\' Version 4 C++ Header Files |
| R-cgal4h-devel | 0.1.0-lp153.3.7 | Development files for cgal4h |
| R-cgdsr | 1.3.0-lp153.3.12 | R-Based API for Accessing the MSKCC Cancer Genomics Data Ser |
| R-CGE | 0.3.3-lp153.2.13 | Computing General Equilibrium |
| R-cglasso | 2.0.7-lp153.2.4 | Conditional Graphical LASSO for Gaussian Graphical Models wi |
| R-cgmanalysis | 2.7.7-lp153.1.5 | Clean and Analyze Continuous Glucose Monitor Data |
| R-CGManalyzer | 1.3.1-lp153.1.5 | Continuous Glucose Monitoring Data Analyzer |
| R-CGNM | 0.9.0-lp153.1.2 | Cluster Gauss-Newton Method |
| R-CGP | 2.1.1-lp153.2.20 | Composite Gaussian Process Models |
| R-CGPfunctions | 0.6.3-lp153.38.2 | Powell Miscellaneous Functions for Teaching and Learning Sta |
| R-CGR | 0.1.0-lp153.2.2 | Compound Growth Rate for Capturing the Growth Rate Over the |
| R-cgraph | 6.0.1-lp153.2.13 | Computational Graphs |
| R-cgrcusum | 0.1.0-lp153.7.5 | Continuous Time Generalized Rapid Response CUSUM |
| R-cgwtools | 4.1-lp153.1.5 | Miscellaneous tools |
| R-ch | 0.1.0.2-lp153.6.7 | About some Small Functions |
| R-chainbinomial | 0.1.5-lp153.2.2 | Chain Binomial Models for Analysis of Infectious Disease Dat |
| R-chameleon | 0.2.3-lp153.5.5 | Automatic Colors for Multi-Dimensional Data |
| R-chandwich | 1.1.6-lp153.1.5 | Chandler-Bate Sandwich Loglikelihood Adjustment |
| R-changedetection | 0.2.0-lp153.4.11 | Nonparametric Change Detection in Multivariate Linear Relati |
| R-changepoint | 2.2.4-lp153.1.7 | Methods for Changepoint Detection |
| R-changepoint.geo | 1.0.2-lp153.1.5 | Geometrically Inspired Multivariate Changepoint Detection |
| R-changepoint.influence | 1.0.2-lp153.1.4 | Package to Calculate the Influence of the Data on a Changepo |
| R-changepoint.np | 1.0.5-lp153.1.8 | Methods for Nonparametric Changepoint Detection |
| R-changepointsVar | 0.1.1-lp153.1.4 | Change-Points Detections for Changes in Variance |
| R-ChangepointTesting | 1.1-lp153.1.9 | Change Point Estimation for Clustered Signals |
| R-changepointTests | 0.1.5-lp153.1.4 | Change Point Tests for Joint Distributions and Copulas |
| R-changeRangeR | 1.0.2-lp153.5.5 | Change Metrics for Species Geographic Ranges |
| R-changeS | 1.0.1-lp153.2.2 | S-Curve Fit for Changepoint Analysis |
| R-ChannelAttributionApp | 1.3-lp153.20.2 | Shiny Web Application for the Multichannel Attribution Probl |
| R-Chaos01 | 1.2.1-lp153.2.13 | 0-1 Test for Chaos |
| R-ChaosGame | 1.4-lp153.5.5 | Chaos Game |
| R-ChargeTransport | 1.0.2-lp153.2.13 | Charge Transfer Rates and Charge Carrier Mobilities |
| R-charlatan | 0.5.1-lp153.1.5 | Make Fake Data |
| R-chartql | 0.1.0-lp153.15.2 | Simplified Language for Plots and Charts |
| R-chatgpt | 0.2.3-lp153.4.2 | Interface to \'ChatGPT\' from R |
| R-CHCN | 1.5-lp153.3.12 | Canadian Historical Climate Network |
| R-cheatsheet | 0.1.2-lp153.1.5 | Download R Cheat Sheets Locally |
| R-cheb | 0.3-lp153.2.13 | Discrete Linear Chebyshev Approximation |
| R-checkarg | 0.1.0-lp153.2.13 | Check the Basic Validity of a (Function) Argument |
| R-CheckDigit | 1.0.0-lp153.1.9 | Calculate and Verify Check Digits |
| R-checkdown | 0.0.12-lp153.4.2 | Check-Fields and Check-Boxes for \'rmarkdown\' |
| R-checker | 0.1.3-lp153.1.5 | Checks \'R\' Configuration Set Up Correctly Before Class |
| R-checkglobals | 0.1.0-lp153.1.5 | Static Analysis of R-Code Dependencies |
| R-checkLuhn | 1.1.0-lp153.16.2 | Checks if a Number is Valid Using the Luhn Algorithm |
| R-checkpoint | 1.0.2-lp153.7.4 | Install Packages from Snapshots on the Checkpoint Server for |
| R-checkr | 0.5.0-lp153.2.13 | Check the Properties of Common R Objects |
| R-cheese | 0.1.2-lp153.10.2 | Tools for Working with Data During Statistical Analysis |
| R-chem.databases | 1.0.0-lp153.1.5 | Collection of 3 Chemical Databases from Public Sources |
| R-chemCal | 0.2.3-lp153.1.10 | Calibration functions for analytical chemistry |
| R-chemmodlab | 2.0.0-lp153.11.5 | A Cheminformatics Modeling Laboratory for Fitting and Assess |
| R-chemometrics | 1.4.4-lp153.1.5 | Multivariate Statistical Analysis in Chemometrics |
| R-ChemoSpec2D | 0.5.0-lp153.16.2 | Exploratory Chemometrics for 2D Spectroscopy |
| R-ChemoSpecUtils | 1.0.4-lp153.4.2 | Functions Supporting Packages ChemoSpec and ChemoSpec2D |
| R-ChernoffDist | 0.1.0-lp153.1.5 | Chernoff\'s Distribution |
| R-cherry | 0.6.14-lp153.2.7 | Multiple Testing Methods for Exploratory Research |
| R-cherryblossom | 0.1.0-lp153.2.13 | Cherry Blossom Run Race Results |
| R-chess | 1.0.1-lp153.11.5 | Read, Write, Create and Explore Chess Games |
| R-chessR | 1.5.2-lp153.1.8 | Functions to Extract, Clean and Analyse Online Chess Game Da |
| R-chest | 0.3.7-lp153.3.2 | Change-in-Estimate Approach to Assess Confounding Effects |
| R-CHFF | 0.1.0-lp153.2.13 | Closest History Flow Field Forecasting for Bivariate Time Se |
| R-chi | 0.1-lp153.2.13 | The Chi Distribution |
| R-chi2x3way | 1.1-lp153.2.13 | Partitioning Chi-Squared and Tau Index for Three-Way Conting |
| R-childdevdata | 1.1.0-lp153.1.13 | Child Development Data |
| R-childhoodmortality | 0.3.0-lp153.9.11 | Calculating Childhood Mortality Rates |
| R-childsds | 0.8.0-lp153.10.2 | Data and Methods Around Reference Values in Pediatrics |
| R-ChillModels | 1.0.2-lp153.2.12 | Processing Chill and Heat Models for Temperate Fruit Trees |
| R-chinese.misc | 0.2.3-lp153.7.2 | Miscellaneous Tools for Chinese Text Mining and More |
| R-chipPCR | 1.0.2-lp153.14.2 | Toolkit of Helper Functions to Pre-Process Amplification Dat |
| R-ChIPtest | 1.0-lp153.2.13 | Nonparametric Methods for Identifying Differential Enrichmen |
| R-chirps | 0.1.4-lp153.3.4 | API Client for CHIRPS and CHIRTS |
| R-chisq.posthoc.test | 0.1.2-lp153.2.13 | A Post Hoc Analysis for Pearson\'s Chi-Squared Test for Coun |
| R-chisquare | 0.3-lp153.6.7 | Chi-Square and G-Square Test of Independence, Residual Analy |
| R-chlorpromazineR | 0.2.0-lp153.1.13 | Convert Antipsychotic Doses to Chlorpromazine Equivalents |
| R-CHMM | 0.1.1-lp153.2.13 | Coupled Hidden Markov Models |
| R-CHNCapitalStock | 0.1.1-lp153.1.4 | Compute Chinese Capital Stocks |
| R-CHNOSZ | 2.1.0-lp153.1.4 | Thermodynamic Calculations and Diagrams for Geochemistry |
| R-choiceDes | 0.9.3-lp153.2.13 | Design Functions for Choice Studies |
| R-CHOIRBM | 0.0.2-lp153.11.2 | Plots the CHOIR Body Map |
| R-cholera | 0.8.0-lp153.3.3 | Amend, Augment and Aid Analysis of John Snow\'s Cholera Map |
| R-choplump | 1.1.2-lp153.1.4 | Permutation Test for Some Positive and Many Zero Responses |
| R-chords | 0.95.4-lp153.2.13 | Estimation in Respondent Driven Samples |
| R-choroplethr | 3.7.3-lp153.3.2 | Simplify the Creation of Choropleth Maps in R |
| R-choroplethrAdmin1 | 1.1.1-lp153.14.5 | Contains an Administrative-Level-1 Map of the World |
| R-choroplethrMaps | 1.0.1-lp153.2.13 | Contains Maps Used by the \'choroplethr\' Package |
| R-chorrrds | 0.1.9.5-lp153.9.11 | Music Chords Extraction |
| R-christmas | 1.3.0-lp153.1.4 | Generation of Different Animated Christmas Cards |
| R-chromatographR | 0.4.4-lp153.2.8 | Chromatographic Data Analysis Toolset |
| R-chromConverter | 0.2.1-lp153.7.2 | Chromatographic File Converter |
| R-chromer | 0.8-lp153.2.2 | Interface to Chromosome Counts Database API |
| R-chromoMap | 4.1.1-lp153.13.2 | Interactive Genomic Visualization of Biological Data |
| R-chromseq | 0.1.3-lp153.2.19 | Split Chromosome \'Fasta\' File |
| R-chron | 2.3.61-lp153.1.5 | Chronological objects which can handle dates and times |
| R-chronicle | 0.3-lp153.19.3 | Grammar for Creating R Markdown Reports |
| R-chronicler | 0.2.2-lp153.2.2 | Add Logging to Functions |
| R-chronochrt | 0.1.3-lp153.1.4 | Creating Chronological Charts |
| R-chronosphere | 0.6.1-lp153.1.5 | Evolving Earth System Variables |
| R-CHsharp | 0.4-lp153.2.13 | Choi and Hall Style Data Sharpening |
| R-chunked | 0.6.0-lp153.6.4 | Chunkwise Text-File Processing for \'dplyr\' |
| R-chunkhooks | 0.0.1-lp153.11.5 | Chunk Hooks for \'R Markdown\' |
| R-chyper | 0.3.1-lp153.1.12 | Functions for Conditional Hypergeometric Distributions |
| R-CIAAWconsensus | 1.3-lp153.7.2 | Isotope Ratio Meta-Analysis |
| R-CICA | 1.0.2-lp153.4.2 | Clusterwise Independent Component Analysis |
| R-ciCalibrate | 0.42.2-lp153.1.5 | Calibration of Confidence Intervals to Support Intervals |
| R-ciccr | 0.3.0-lp153.1.5 | Causal Inference in Case-Control and Case-Population Studies |
| R-cicerone | 1.0.4-lp153.12.2 | Provide Tours of \'Shiny\' Applications |
| R-CICI | 0.9.1-lp153.1.5 | Causal Inference with Continuous (Multiple Time Point) Inter |
| R-CIEE | 0.1.1-lp153.2.13 | Estimating and Testing Direct Effects in Directed Acyclic Gr |
| R-cif | 0.1.1-lp153.4.7 | Cointegrated ICU Forecasting |
| R-CIfinder | 2.0.0-lp153.2.2 | Estimate the Confidence Intervals for Predictive Values |
| R-CIFsmry | 1.0.1.1-lp153.2.13 | Weighted summary of cumulative incidence functions |
| R-cifti | 0.4.5-lp153.4.4 | Toolbox for Connectivity Informatics Technology Initiative ( |
| R-ciftiTools | 0.11.0-lp153.2.5 | Tools for Reading, Writing, Viewing and Manipulating CIFTI F |
| R-CIM | 1.0.0-lp153.2.13 | Compositional Impact of Migration |
| R-cimir | 0.4.1-lp153.13.2 | Interface to the CIMIS Web API |
| R-cin | 0.1-lp153.2.13 | Causal Inference for Neuroscience |
| R-cinaRgenesets | 0.1.1-lp153.1.13 | Ready-to-Use Curated Gene Sets for \'cinaR\' |
| R-CINE | 0.1.3-lp153.7.2 | Classification International Normalized of Education |
| R-CINID | 1.3.0-lp153.2.13 | Curculionidae INstar IDentification |
| R-CINmetrics | 0.1.0-lp153.1.12 | Calculate Chromosomal Instability Metrics |
| R-CIPerm | 0.2.3-lp153.1.9 | Computationally-Efficient Confidence Intervals for Mean Shif |
| R-cipheR | 1.0.0-lp153.1.7 | Encryption and Decryption with Text Ciphers |
| R-CIplot | 1.0-lp153.2.13 | Functions to Plot Confidence Interval |
| R-cir | 2.3.1-lp153.1.5 | Centered Isotonic Regression and Dose-Response Utilities |
| R-circacompare | 0.2.0-lp153.1.4 | Analyses of Circadian Data |
| R-CirclesIntersections | 1.1-lp153.1.7 | Algorithm for Computation of the Intersection Areas of N Cir |
| R-circlesplot | 1.1.0-lp153.1.4 | Visualize Proportions with Circles in a Plot |
| R-circletyper | 1.0.2-lp153.7.2 | Curve Text Elements in \'Shiny\' Using \'CircleType.js\' |
| R-circlize | 0.4.16-lp153.1.4 | Circular Visualization |
| R-CircMLE | 0.3.0-lp153.4.7 | Maximum Likelihood Analysis of Circular Data |
| R-CircNNTSR | 2.3-lp153.1.5 | Statistical Analysis of Circular Data using Nonnegative Trig |
| R-CircOutlier | 3.2.3-lp153.2.13 | Detection of Outliers in Circular-Circular Regression |
| R-CircStats | 0.2.4-lp154.1.10 | Circular Statistics, from \"Topics in circular Statistics\" |
| R-CircStats | 0.2.4-lp155.1.5 | Circular Statistics, from \"Topics in circular Statistics\" |
| R-CircStats | 0.2.4-lp153.1.25 | Circular Statistics, from \"Topics in circular Statistics\" |
| R-CircStats | 0.2.4-1.38 | Circular Statistics, from \"Topics in circular Statistics\" |
| R-CircStats | 0.2.6-lp153.2.13 | Circular Statistics, from \"Topics in circular Statistics\" |
| R-CircStats | 0.2.4-1.26 | Circular Statistics, from \"Topics in circular Statistics\" |
| R-circularEV | 0.1.1-lp153.12.5 | Extreme Value Analysis for Circular Data |
| R-CIS.DGLM | 0.1.0-lp153.7.7 | Covariates, Interaction, and Selection for DGLM |
| R-CISE | 0.1.0-lp153.3.11 | Common and Individual Structure Explained for Multiple Graph |
| R-CITAN | 2022.1.1-lp153.7.2 | CITation ANalysis Toolpack |
| R-citation | 0.8.2-lp153.2.4 | Software Citation Tools |
| R-citbcmst | 1.0.4-lp153.2.13 | CIT Breast Cancer Molecular SubTypes Prediction |
| R-citccmst | 1.0.2-lp153.2.13 | CIT Colon Cancer Molecular SubTypes Prediction |
| R-citecorp | 0.3.0-lp153.3.7 | Client for the Open Citations Corpus |
| R-cities | 0.1.3-lp153.7.2 | Clinical Trials with Intercurrent Events Simulator |
| R-citmre | 0.1.0-lp153.2.2 | Colombian Index Tool Market Rate Exchange |
| R-CityPlot | 2.0-lp153.2.13 | Visualization of structure and contents of a database |
| R-CityWaterBalance | 0.1.0-lp153.10.11 | Track Flows of Water Through an Urban System |
| R-ciu | 0.6.0-lp153.2.7 | Contextual Importance and Utility |
| R-civis | 3.1.2-lp153.1.5 | R Client for the \'Civis Platform API\' |
| R-ciw | 0.0.2-lp153.2.2 | Watch the CRAN Incoming Directories |
| R-cjar | 0.1.2-lp153.11.2 | R Client for \'Customer Journey Analytics\' (\'CJA\') API |
| R-cjbart | 0.3.2-lp153.7.2 | Heterogeneous Effects Analysis of Conjoint Experiments |
| R-cjoint | 2.1.1-lp153.5.2 | AMCE Estimator for Conjoint Experiments |
| R-ckanr | 0.7.0-lp153.2.2 | Client for the Comprehensive Knowledge Archive Network (\'CK |
| R-CKAT | 0.1.0-lp153.2.13 | Composite Kernel Association Test for Pharmacogenetics Studi |
| R-ClaimsProblems | 0.2.1-lp153.3.5 | Analysis of Conflicting Claims |
| R-clampSeg | 1.1.1-lp153.2.7 | Idealisation of Patch Clamp Recordings |
| R-ClamR | 2.1.3-lp153.1.5 | Time Series Modeling for Climate Change Proxies |
| R-clarifai | 0.4.2-lp153.2.13 | Access to Clarifai API |
| R-clarify | 0.2.1-lp153.2.2 | Simulation-Based Inference for Regression Models |
| R-clarkeTest | 0.2.0-lp153.2.2 | Distribution-Free Tests of Non-Nested Models |
| R-class | 7.3.22-50.1 | Package provides recommended R-class |
| R-class | 7.3.22-194.138 | Package provides recommended R-class |
| R-class | 7.3.22-56.163 | Package provides recommended R-class |
| R-class | 7.3.22-lp155.192.1 | Package provides recommended R-class |
| R-class | 7.3.22-50.0.2.1.sr20240605 | Package provides recommended R-class |
| R-class | 7.3.22-lp154.192.1 | Package provides recommended R-class |
| R-class | 7.3.22-194.138 | Package provides recommended R-class |
| R-class | 7.3.22-192.1 | Package provides recommended R-class |
| R-class | 7.3.22-50.1 | Package provides recommended R-class |
| R-class | 7.3.22-56.163 | Package provides recommended R-class |
| R-class | 7.3.22-lp153.192.1 | Package provides recommended R-class |
| R-class | 7.3.22-50.1 | Package provides recommended R-class |
| R-class | 7.3.22-lp153.1.25 | Functions for Classification |
| R-classifly | 0.4.1-lp153.2.7 | Explore Classification Models in High Dimensions |
| R-classInt | 0.4.2-lp153.1.24 | Choose Univariate Class Intervals |
| R-classInt | 0.4.2-lp155.1.5 | Choose Univariate Class Intervals |
| R-classInt | 0.4.10-lp153.1.5 | Choose Univariate Class Intervals |
| R-classInt | 0.4.2-1.28 | Choose Univariate Class Intervals |
| R-classInt | 0.4.2-lp154.1.10 | Choose Univariate Class Intervals |
| R-classInt | 0.4.2-1.30 | Choose Univariate Class Intervals |
| R-classmap | 1.2.3-lp153.2.2 | Visualizing Classification Results |
| R-classyfireR | 0.3.8-lp153.1.11 | R Interface to the \'ClassyFire\' REST API |
| R-CLAST | 1.0.1-lp153.1.10 | Exact Confidence Limits after a Sequential Trial |
| R-clda | 0.1-lp153.2.13 | Convolution-Based Linear Discriminant Analysis |
| R-clean | 2.0.0-lp153.11.5 | Fast and Easy Data Cleaning |
| R-cleancall | 0.1.3-lp153.1.7 | C Resource Cleanup via Exit Handlers |
| R-cleandata | 0.3.0-lp153.2.13 | To Inspect and Manipulate Data; and to Keep Track of This Pr |
| R-cleaner | 1.5.4-lp153.4.5 | Fast and Easy Data Cleaning |
| R-cleanerR | 0.1.1-lp153.2.13 | How to Handle your Missing Data |
| R-cleanNLP | 3.1.0-lp153.2.2 | A Tidy Data Model for Natural Language Processing |
| R-cleanrmd | 0.1.1-lp153.7.2 | Clean Class-Less \'R Markdown\' HTML Documents |
| R-cleanTS | 0.1.2-lp153.4.2 | Testbench for Univariate Time Series Cleaning |
| R-cleaR | 0.0.4-lp153.1.8 | Clean the R Console and Environment |
| R-cli | 2.1.0-2.29 | Helpers for Developing Command Line Interfaces |
| R-cli | 2.1.0-lp153.2.26 | Helpers for Developing Command Line Interfaces |
| R-cli | 2.1.0-lp154.2.10 | Helpers for Developing Command Line Interfaces |
| R-cli | 2.1.0-2.23 | Helpers for Developing Command Line Interfaces |
| R-cli | 2.1.0-lp155.2.5 | Helpers for Developing Command Line Interfaces |
| R-cliapp | 0.1.2-lp153.2.2 | Create Rich Command Line Applications |
| R-clickb | 0.1-lp153.1.7 | Web Data Analysis by Bayesian Mixture of Markov Models |
| R-ClickClust | 1.1.6-lp153.1.4 | Model-Based Clustering of Categorical Sequences |
| R-ClickClustCont | 0.1.7-lp153.2.13 | Mixtures of Continuous Time Markov Models |
| R-ClickHouseHTTP | 0.3.3-lp153.2.2 | A Simple HTTP Database Interface to \'ClickHouse\' |
| R-clickstream | 1.3.3-lp153.2.4 | Analyzes Clickstreams Based on Markov Chains |
| R-clidatajp | 0.5.2-lp153.2.4 | Data from Japan Meteorological Agency |
| R-cliff | 0.1.2-lp153.2.5 | Execute Command Line Programs Interactively |
| R-clifro | 3.2.5-lp153.11.4 | Easily Download and Visualise Climate Data from CliFlo |
| R-CliftLRD | 0.1.1-lp153.2.12 | Complex-Valued Wavelet Lifting Estimators of the Hurst Expon |
| R-clikcorr | 1.0-lp153.2.13 | Censoring Data and Likelihood-Based Correlation Estimation |
| R-climate | 1.0.4-lp153.1.11 | Interface to Download Meteorological (and Hydrological) Data |
| R-climateStability | 0.1.4-lp153.3.4 | Estimating Climate Stability from Climate Model Data |
| R-climatol | 4.1.0-lp153.2.2 | Climate Tools (Series Homogenization and Derived Products) |
| R-climatrends | 0.5-lp153.6.2 | Climate Variability Indices for Ecological Modelling |
| R-ClimClass | 2.1.0-lp153.16.2 | Climate Classification According to Several Indices |
| R-ClimDown | 1.0.8-lp153.1.12 | Climate Downscaling Library for Daily Climate Model Output |
| R-clime | 0.5.0-lp153.1.9 | Constrained L1-Minimization for Inverse (Covariance) Matrix |
| R-climenv | 1.0.0-lp153.2.3 | Download, Extract and Visualise Climate and Elevation Data |
| R-climetrics | 1.0.15-lp153.2.2 | Climate Change Metrics |
| R-climextRemes | 0.3.1-lp153.1.4 | Tools for Analyzing Climate Extremes |
| R-ClimInd | 0.1.3-lp153.10.5 | Climate Indices |
| R-ClimMobTools | 1.2-lp153.1.4 | API Client for the \'ClimMob\' Platform |
| R-ClimProjDiags | 0.3.3-lp153.1.4 | Set of Tools to Compute Various Climate Indices |
| R-clinfun | 1.1.5-lp153.1.5 | Clinical Trial Design and Data Analysis Functions |
| R-clinmon | 0.6.0-lp153.1.13 | Hemodynamic Calculations from Clinical Monitoring |
| R-clinPK | 0.13.0-lp153.1.3 | Clinical Pharmacokinetics Toolkit |
| R-clinsig | 1.2-lp153.2.13 | Clinical Significance Functions |
| R-clinspacy | 1.0.2-lp153.6.5 | Clinical Natural Language Processing using \'spaCy\', \'scis |
| R-clinUtiDNA | 1.0-lp153.2.13 | Clinical Utility of DNA Testing |
| R-clinUtils | 0.2.0-lp153.2.2 | General Utility Functions for Analysis of Clinical Data |
| R-cliot | 0.2.0-lp153.2.2 | Clinical Indices and Outcomes Tools |
| R-clipp | 1.1.1-lp153.1.8 | Calculating Likelihoods by Pedigree Paring |
| R-clipr | 0.4.0-lp153.1.27 | Read and Write from the System Clipboard |
| R-clipr | 0.4.0-lp155.1.5 | Read and Write from the System Clipboard |
| R-clipr | 0.4.0-1.30 | Read and Write from the System Clipboard |
| R-clipr | 0.8.0-lp153.1.11 | Read and Write from the System Clipboard |
| R-clipr | 0.4.0-lp154.1.10 | Read and Write from the System Clipboard |
| R-clipr | 0.4.0-1.38 | Read and Write from the System Clipboard |
| R-clisymbols | 1.2.0-2.25 | Unicode Symbols at the R Prompt |
| R-clisymbols | 1.2.0-lp153.2.13 | Unicode Symbols at the R Prompt |
| R-clisymbols | 1.2.0-lp155.2.5 | Unicode Symbols at the R Prompt |
| R-clisymbols | 1.2.0-lp154.2.10 | Unicode Symbols at the R Prompt |
| R-clisymbols | 1.2.0-2.28 | Unicode Symbols at the R Prompt |
| R-clisymbols | 1.2.0-lp153.2.23 | Unicode Symbols at the R Prompt |
| R-clockify | 0.1.6-lp153.1.2 | A Wrapper for the \'Clockify\' API |
| R-clogitLasso | 1.1-lp153.2.13 | Sparse Conditional Logistic Regression for Matched Studies |
| R-clordr | 1.7.0-lp153.1.10 | Composite Likelihood Inference and Diagnostics for Replicate |
| R-cloudfs | 0.1.3-lp153.2.2 | Streamlined Interface to Interact with Cloud Storage Platfor |
| R-cloudml | 0.6.1-lp153.11.5 | Interface to the Google Cloud Machine Learning Platform |
| R-cloudos | 0.4.0-lp153.2.2 | R Client Library for CloudOS |
| R-cloudUtil | 0.1.12-lp153.2.13 | Cloud Utilization Plots |
| R-clpm | 1.0-lp153.1.5 | Constrained Estimation of Linear Probability Model |
| R-clr | 0.1.2-lp153.15.7 | Curve Linear Regression via Dimension Reduction |
| R-CLSIEP15 | 0.1.0-lp153.2.2 | Clinical and Laboratory Standards Institute (CLSI) EP15-A3 C |
| R-CLSOCP | 1.0-lp153.2.13 | A smoothing Newton method SOCP solver |
| R-clttools | 1.3-lp153.2.13 | Central Limit Theorem Experiments (Theoretical and Simulatio |
| R-clue | 0.3.65-lp153.1.5 | Cluster ensembles |
| R-ClueR | 1.4.2-lp153.1.4 | Cluster Evaluation |
| R-clugenr | 1.0.3-lp153.1.4 | Multidimensional Cluster Generation Using Support Lines |
| R-CluMP | 0.8.1-lp153.23.2 | Clustering of Micro Panel Data |
| R-cluscov | 1.1.0-lp153.4.11 | Clustered Covariate Regression |
| R-ClussCluster | 0.1.0-lp153.15.2 | Simultaneous Detection of Clusters and Cluster-Specific Gene |
| R-clust.bin.pair | 0.1.2-lp153.2.13 | Statistical Methods for Analyzing Clustered Matched Pair Dat |
| R-ClusTCR2 | 1.7.3.01-lp153.2.2 | Identifying Similar T Cell Receptor Hyper-Variable Sequences |
| R-clustcurv | 2.0.1-lp153.13.7 | Determining Groups in Multiples Curves |
| R-cluster | 2.1.6-50.1 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-50.1 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-lp153.1.11 | \"Finding Groups in Data\": Cluster Analysis Extended Rousse |
| R-cluster | 2.1.6-lp155.192.1 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-56.163 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-56.163 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-194.138 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-50.0.2.1.sr20240605 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-192.1 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-lp154.192.1 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-50.1 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-194.138 | Package provides recommended R-cluster |
| R-cluster | 2.1.6-lp153.192.1 | Package provides recommended R-cluster |
| R-cluster.datasets | 1.0.1-lp153.2.13 | Cluster Analysis Data Sets |
| R-clusterability | 0.1.1.0-lp153.2.13 | Performs Tests for Cluster Tendency of a Data Set |
| R-ClusterBootstrap | 1.1.2-lp153.11.7 | Analyze Clustered Data with Generalized Linear Models using |
| R-clusterCons | 1.2-lp153.2.7 | Consensus Clustering using Multiple Algorithms and Parameter |
| R-clusterCrit | 1.3.0-lp153.1.4 | Clustering Indices |
| R-ClusteredMutations | 1.0.1-lp153.10.5 | Location and Visualization of Clustered Somatic Mutations |
| R-clusterGeneration | 1.3.8-lp153.1.5 | Random Cluster Generation (with Specified Degree of Separati |
| R-clusterGenomics | 1.0-lp153.2.19 | Identifying clusters in genomics data by recursive partition |
| R-clusterhap | 0.1-lp153.2.13 | Clustering Genotypes in Haplotypes |
| R-clustering.sc.dp | 1.1-lp153.1.7 | Optimal Distance-Based Clustering for Multidimensional Data |
| R-clusternomics | 0.1.1-lp153.3.7 | Integrative Clustering for Heterogeneous Biomedical Datasets |
| R-clusterPower | 0.7.0-lp153.24.5 | Power Calculations for Cluster-Randomized and Cluster-Random |
| R-ClusterRankTest | 1.0-lp153.2.13 | Rank Tests for Clustered Data |
| R-clusterRepro | 0.9-lp153.2.13 | Reproducibility of gene expression clusters |
| R-clustertend | 1.7-lp153.1.5 | Check the Clustering Tendency |
| R-clustlearn | 1.0.0-lp153.1.5 | Learn Clustering Techniques Through Examples and Code |
| R-ClustOfVar | 1.1-lp153.2.13 | Clustering of Variables |
| R-ClusTorus | 0.2.2-lp153.9.2 | Prediction and Clustering on the Torus by Conformal Predicti |
| R-clustra | 0.2.1-lp153.1.4 | Clustering Longitudinal Trajectories |
| R-clusTransition | 1.0-lp153.1.13 | Monitor Changes in Cluster Solutions of Dynamic Datasets |
| R-clustree | 0.5.1-lp153.4.2 | Visualise Clusterings at Different Resolutions |
| R-clustringr | 1.0-lp153.19.2 | Cluster Strings by Edit-Distance |
| R-CLUSTShiny | 0.1.0-lp153.28.3 | Interactive Document for Working with Cluster Analysis |
| R-clustsig | 1.1-lp153.2.13 | Significant Cluster Analysis |
| R-clustvarsel | 2.3.4-lp153.2.13 | Variable Selection for Gaussian Model-Based Clustering |
| R-clv | 0.3_2.1-lp154.2.10 | Cluster Validation Techniques |
| R-clv | 0.3.2.4-lp153.1.5 | Cluster Validation Techniques |
| R-clv | 0.3_2.1-2.38 | Cluster Validation Techniques |
| R-clv | 0.3_2.1-2.32 | Cluster Validation Techniques |
| R-clv | 0.3_2.1-lp153.2.24 | Cluster Validation Techniques |
| R-clv | 0.3_2.1-lp155.2.5 | Cluster Validation Techniques |
| R-clValid | 0.7-lp153.1.13 | Validation of Clustering Results |
| R-cmaes | 1.0.12-lp153.1.10 | Covariance Matrix Adapting Evolutionary Strategy |
| R-cmaesr | 1.0.3-lp153.17.5 | Covariance Matrix Adaptation Evolution Strategy |
| R-CMAPSS | 0.1.1-lp153.1.12 | Commercial Modular Aero-Propulsion System Simulation Data Se |
| R-CMapViz | 0.1.0-lp153.22.2 | Representation Tool For Output Of Connectivity Map (CMap) An |
| R-cmaRs | 0.1.3-lp153.2.3 | Implementation of the Conic Multivariate Adaptive Regression |
| R-CMatching | 2.3.0-lp153.4.11 | Matching Algorithms for Causal Inference with Clustered Data |
| R-cmbClust | 0.0.1-lp153.1.7 | Conditional Mixture Modeling and Model-Based Clustering |
| R-CMC | 1.0-lp153.2.13 | Cronbach-Mesbah Curve |
| R-cmce | 0.1.0-lp153.2.13 | Computer Model Calibration for Deterministic and Stochastic |
| R-cmfrec | 3.5.1.3-lp153.1.4 | Collective Matrix Factorization for Recommender Systems |
| R-CMFsurrogate | 1.0-lp153.1.8 | Calibrated Model Fusion Approach to Combine Surrogate Marker |
| R-cml | 0.2.2-lp153.1.5 | Conditional Manifold Learning |
| R-CMLS | 1.0.1-lp153.1.5 | Constrained Multivariate Least Squares |
| R-cmm | 1.0-lp153.1.5 | Categorical Marginal Models |
| R-cmna | 1.0.5-lp153.1.12 | Computational Methods for Numerical Analysis |
| R-CMplot | 4.5.1-lp153.1.4 | Circle Manhattan Plot |
| R-cmprsk | 2.2_7-lp155.2.5 | Subdistribution Analysis of Competing Risks |
| R-cmprsk | 2.2_7-lp154.2.10 | Subdistribution Analysis of Competing Risks |
| R-cmprsk | 2.2_7-lp153.2.24 | Subdistribution Analysis of Competing Risks |
| R-cmprsk | 2.2.12-lp153.2.2 | Subdistribution Analysis of Competing Risks |
| R-cmprsk | 2.2_7-2.38 | Subdistribution Analysis of Competing Risks |
| R-cmprsk | 2.2_7-2.31 | Subdistribution Analysis of Competing Risks |
| R-cmprskcoxmsm | 0.2.1-lp153.10.2 | Use IPW to Estimate Treatment Effect under Competing Risks |
| R-cmprskQR | 0.9.2-lp153.4.11 | Analysis of Competing Risks Using Quantile Regressions |
| R-cmpsR | 0.1.2-lp153.5.7 | R Implementation of Congruent Matching Profile Segments Meth |
| R-cmR | 1.1-lp153.3.5 | Analysis of Cardiac Magnetic Resonance Images |
| R-cmrutils | 1.3.1-lp153.2.13 | Misc Functions of the Center for Mathematical Research |
| R-cms | 0.1.0-lp153.14.4 | Calculate Medicare Reimbursement |
| R-cmsaf | 3.5.1-lp153.2.2 | A Toolbox for CM SAF NetCDF Data |
| R-cmsafops | 1.4.0-lp153.2.2 | Tools for CM SAF NetCDF Data |
| R-cmstatr | 0.9.3-lp153.2.2 | Statistical Methods for Composite Material Data |
| R-cmtest | 0.1.2-lp153.1.11 | Conditional Moments Test |
| R-cmvnorm | 1.0.7-lp153.1.11 | The Complex Multivariate Gaussian Distribution |
| R-CNAIM | 2.1.4-lp153.14.2 | Common Network Asset Indices Methodology (CNAIM) |
| R-cnbdistr | 1.0.1-lp153.2.13 | Conditional Negative Binomial Distribution |
| R-CNID | 1.3.1-lp153.1.5 | Get Basic Information from Chinese ID Number |
| R-CNLTreg | 0.1.2-lp153.2.13 | Complex-Valued Wavelet Lifting for Signal Denoising |
| R-CNLTtsa | 0.1.2-lp153.11.5 | Complex-Valued Wavelet Lifting for Univariate and Bivariate |
| R-cnmap | 0.1.0-lp153.2.2 | China Map Data from AutoNavi Map |
| R-CNOGpro | 1.1-lp153.6.12 | Copy Numbers of Genes in prokaryotes |
| R-CNprep | 2.2-lp153.1.9 | Pre-Process DNA Copy Number (CN) Data for Detection of CN Ev |
| R-CNPS | 1.0.0-lp153.1.12 | Nonparametric Statistics |
| R-cns | 0.1.0-lp153.1.12 | Color Naming System |
| R-coalescentMCMC | 0.4.4-lp153.8.4 | MCMC Algorithms for the Coalescent |
| R-coalitions | 0.6.24-lp153.7.4 | Bayesian \"Now-Cast\" Estimation of Event Probabilities in M |
| R-coarseDataTools | 0.6.6-lp153.2.11 | Analysis of Coarsely Observed Data |
| R-coat | 0.2.0-lp153.2.2 | Conditional Method Agreement Trees (COAT) |
| R-cobalt | 4.5.5-lp153.2.2 | Covariate Balance Tables and Plots |
| R-COBRA | 0.99.4-lp153.2.13 | Nonlinear Aggregation of Predictors |
| R-cobs | 1.3.8-lp153.2.2 | Constrained B-Splines (Sparse Matrix Based) |
| R-cocktailApp | 0.2.3-lp153.6.2 | \'shiny\' App to Discover Cocktails |
| R-CoClust | 0.3.2-lp153.2.12 | Copula Based Cluster Analysis |
| R-COCONUT | 1.0.2-lp153.2.13 | COmbat CO-Normalization Using conTrols (COCONUT) |
| R-cocor | 1.1.4-lp153.1.8 | Comparing Correlations |
| R-cocosoR | 0.1.0-lp153.1.5 | CoCoSo - Combined Compromise Solution Method for MCDA |
| R-cocotest | 1.0.3-lp153.1.4 | Dependence Condition Test Using Ranked Correlation Coefficie |
| R-cocron | 1.0.1-lp153.2.13 | Statistical Comparisons of Two or more Alpha Coefficients |
| R-coda | 0.19.4.1-lp153.1.4 | Output analysis and diagnostics for MCMC |
| R-coda | 0.19.1-lp154.1.10 | Output analysis and diagnostics for MCMC |
| R-coda | 0.19.1-lp155.1.5 | Output analysis and diagnostics for MCMC |
| R-coda | 0.19.1-lp153.1.28 | Output analysis and diagnostics for MCMC |
| R-coda | 0.19.1-1.38 | Output analysis and diagnostics for MCMC |
| R-coda | 0.19.1-1.30 | Output analysis and diagnostics for MCMC |
| R-coda4microbiome | 0.1.4-lp153.3.4 | Compositional Data Analysis for Microbiome Studies |
| R-codacore | 0.0.4-lp153.6.5 | Learning Sparse Log-Ratios for Compositional Data |
| R-codadiags | 1.0-lp153.2.13 | Markov chain Monte Carlo burn-in based on \"bridge\" statist |
| R-CoDaImpact | 0.1.0-lp153.2.2 | Interpreting CoDa Regression Models |
| R-codalm | 0.1.2-lp153.2.8 | Transformation-Free Linear Regression for Compositional Outc |
| R-codaredistlm | 0.1.0-lp153.7.2 | Compositional Data Linear Models with Composition Redistribu |
| R-CodataGS | 1.43-lp153.2.13 | Genomic Prediction Using SNP Codata |
| R-cOde | 1.1.1-lp153.1.11 | Automated C Code Generation for \'deSolve\', \'bvpSolve\' |
| R-codeCollection | 0.1.3-lp153.2.7 | Collection of Codes with Labels |
| R-codecountR | 0.0.4.0-lp153.1.4 | Counting Codes in a Text and Preparing Data for Analysis |
| R-codemeta | 0.1.1-lp153.4.4 | A Smaller \'codemetar\' Package |
| R-codemetar | 0.3.5-lp153.8.2 | Generate \'CodeMeta\' Metadata for R Packages |
| R-codename | 0.5.0-lp153.1.7 | Generation of Code Names for Organizations, People, Projects |
| R-codep | 1.2.3-lp153.2.2 | Multiscale Codependence Analysis |
| R-coder | 0.13.10-lp153.1.5 | Deterministic Categorization of Items Based on External Code |
| R-codetools | 0.2.20-56.163 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-50.1 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-194.138 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-lp154.192.1 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-192.1 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-50.0.2.1.sr20240605 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-50.1 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-50.1 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-lp153.2.2 | Code Analysis Tools for R |
| R-codetools | 0.2.20-56.163 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-194.138 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-lp155.192.1 | Package provides recommended R-codetools |
| R-codetools | 0.2.20-lp153.192.1 | Package provides recommended R-codetools |
| R-codewhere | 0.1.1-lp153.1.2 | Find the Location of an R Package\'s Code |
| R-codexcopd | 0.1.0-lp153.2.13 | The CODEX (Comorbidity, Obstruction, Dyspnea, and Previous S |
| R-codified | 0.3.0-lp153.14.2 | Produce Standard/Formalized Demographics Tables |
| R-CoDiNA | 1.1.2-lp153.19.2 | Co-Expression Differential Network Analysis |
| R-codingMatrices | 0.4.0-lp153.1.7 | Alternative Factor Coding Matrices for Linear Model Formulae |
| R-codyn | 2.0.5-lp153.2.13 | Community Dynamics Metrics |
| R-coefficientalpha | 0.7.2-lp153.1.5 | Robust Coefficient Alpha and Omega with Missing and Non-Norm |
| R-coefplot | 1.2.8-lp153.16.2 | Plots Coefficients from Fitted Models |
| R-coenocliner | 0.2.3-lp153.1.13 | Coenocline Simulation |
| R-coenoflex | 2.2.0-lp153.2.13 | Gradient-Based Coenospace Vegetation Simulator |
| R-coexist | 1.0-lp153.2.13 | Species coexistence modeling and analysis |
| R-cofeatureR | 1.1.1-lp153.16.7 | Generate Cofeature Matrices |
| R-cofid | 1.0.0-lp153.2.2 | Copepod Fish Interaction Database |
| R-CoFRA | 0.1002-lp153.6.2 | Complete Functional Regulation Analysis |
| R-cognitoR | 1.0.5-lp153.3.2 | Authentication for \'Shiny\' Apps with \'Amazon Cognito\' |
| R-cohortBuilder | 0.2.0-lp153.2.2 | Data Source Agnostic Filtering Tools |
| R-CohortPlat | 1.0.5-lp153.15.2 | Simulation of Cohort Platform Trials for Combination Treatme |
| R-cohorts | 1.0.1-lp153.8.2 | Cohort Analysis Made Easy |
| R-CohortSymmetry | 0.1.0-lp153.1.2 | Sequence Symmetry Analysis Using the Observational Medical O |
| R-coil | 1.2.4-lp153.1.4 | Contextualization and Evaluation of COI-5P Barcode Data |
| R-coin | 1.0_24-lp155.3.5 | Conditional Inference Procedures in a Permutation Test Frame |
| R-coin | 1.4.3-lp153.1.5 | Conditional Inference Procedures in a Permutation Test Frame |
| R-coin | 1.0_24-lp154.3.10 | Conditional Inference Procedures in a Permutation Test Frame |
| R-coin | 1.0_24-3.34 | Conditional Inference Procedures in a Permutation Test Frame |
| R-coin | 1.0_24-lp153.3.25 | Conditional Inference Procedures in a Permutation Test Frame |
| R-coin | 1.0_24-3.39 | Conditional Inference Procedures in a Permutation Test Frame |
| R-coinmarketcapr | 0.4-lp153.5.5 | Get \'Cryptocurrencies\' Market Cap Prices from Coin Market |
| R-CoinMinD | 1.1-lp153.4.11 | Simultaneous Confidence Interval for Multinomial Proportion |
| R-Coinprofile | 0.1.9-lp153.16.7 | Coincident Profile |
| R-COINr | 1.1.14-lp153.2.2 | Composite Indicator Construction and Analysis |
| R-cointmonitoR | 0.1.0-lp153.2.13 | Consistent Monitoring of Stationarity and Cointegrating Rela |
| R-cointReg | 0.2.0-lp153.2.13 | Parameter Estimation and Inference in a Cointegrating Regres |
| R-cold | 2.0.3-lp153.2.7 | Count Longitudinal Data |
| R-colf | 0.1.3-lp153.3.12 | Constrained Optimization on Linear Function |
| R-CollapseLevels | 0.3.0-lp153.16.7 | Collapses Levels, Computes Information Value and WoE |
| R-collapsibleTree | 0.1.8-lp153.6.2 | Interactive Collapsible Tree Diagrams using \'D3.js\' |
| R-collateral | 0.5.2-lp153.4.7 | Quickly Evaluate Captured Side Effects |
| R-collatz | 1.0.0-lp153.1.8 | Functions Related to the Collatz/Syracuse/3n+1 Problem |
| R-collectArgs | 0.4.0-lp153.2.13 | Quickly and Neatly Collect Arguments from One Environment to |
| R-collections | 0.3.7-lp153.2.7 | High Performance Container Data Types |
| R-collidr | 0.1.3-lp153.16.2 | Check for Namespace Collisions Across Packages and Functions |
| R-collin | 0.0.4-lp153.1.5 | Visualization the Effects of Collinearity in Distributed Lag |
| R-collinear | 1.1.1-lp153.1.4 | Seamless Multicollinearity Management |
| R-CollocInfer | 1.0.4-lp153.17.4 | Collocation Inference for Dynamic Systems |
| R-collpcm | 1.4-lp153.2.2 | Collapsed Latent Position Cluster Model for Social Networks |
| R-colmozzie | 1.1.1-lp153.2.13 | Dengue Cases and Climate Variables in Colombo Sri Lanka |
| R-coloc | 5.2.3-lp153.1.5 | Colocalisation Tests of Two Genetic Traits |
| R-colocalization | 1.0.2-lp153.14.5 | Normalized Spatial Intensity Correlation |
| R-colocalized | 0.2.0-lp153.4.7 | Clusters of Colocalized Sequences |
| R-colorblindcheck | 1.0.2-lp153.1.5 | Check Color Palettes for Problems with Color Vision Deficien |
| R-colorBlindness | 0.1.9-lp153.6.5 | Safe Color Set for Color Blindness |
| R-colorDF | 0.1.7-lp153.3.7 | Colorful Data Frames in R Terminal |
| R-colordistance | 1.1.0-lp153.2.12 | Distance Metrics for Image Color Similarity |
| R-coloredICA | 1.0.0-lp153.2.13 | Implementation of Colored Independent Component Analysis and |
| R-colorfulVennPlot | 2.4-lp153.2.13 | Plot and add custom coloring to Venn diagrams for 2-dimensio |
| R-colorhcplot | 1.3.1-lp153.2.13 | Colorful Hierarchical Clustering Dendrograms |
| R-colorhex | 0.1.4-lp153.1.5 | Colors and Palettes from Color-Hex |
| R-colorist | 0.1.3-lp153.2.2 | Coloring Wildlife Distributions in Space-Time |
| R-colorizer | 0.1.0-lp153.11.2 | Colorize Old Images Using the \'DeOldify\' Image Colorizatio |
| R-ColorNameR | 0.1.0-lp153.8.7 | Give Colors a Name |
| R-ColorPalette | 1.0.1-lp153.2.13 | Color Palettes Generator |
| R-colorpatch | 0.1.2-lp153.13.5 | Optimized Rendering of Fold Changes and Confidence Values |
| R-colorplane | 0.5.0-lp153.1.5 | Basic S4 Classes and Methods for Mapping Between Numeric Val |
| R-colorr | 1.0.0-lp153.2.13 | Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams |
| R-colorRamp2 | 0.1.0-lp153.2.7 | Generate Color Mapping Functions |
| R-colorRamps | 2.3.4-lp153.2.2 | Builds color tables |
| R-colors3d | 1.0.1-lp153.2.4 | Generate 2D and 3D Color Palettes |
| R-colorscience | 1.0.9-lp153.2.2 | Color Science Methods and Data |
| R-colorsGen | 1.0.0-lp153.1.4 | Generation of Random Colors |
| R-colorspace | 1.4.1-3.36 | A Toolbox for Manipulating and Assessing Colors and Palettes |
| R-colorspace | 1.4.1-lp155.3.5 | A Toolbox for Manipulating and Assessing Colors and Palettes |
| R-colorspace | 1.4.1-lp153.3.28 | A Toolbox for Manipulating and Assessing Colors and Palettes |
| R-colorspace | 1.4.1-3.28 | A Toolbox for Manipulating and Assessing Colors and Palettes |
| R-colorspace | 1.4.1-lp154.3.10 | A Toolbox for Manipulating and Assessing Colors and Palettes |
| R-colorSpec | 1.5.0-lp153.1.4 | Color Calculations with Emphasis on Spectral Data |
| R-colortools | 0.1.5-lp153.2.13 | Tools for colors in a Hue-Saturation-Value (HSV) color model |
| R-colouR | 0.1.1-lp153.1.5 | Create Colour Palettes from Images |
| R-colourlovers | 0.3.6-lp153.3.12 | R Client for the COLOURlovers API |
| R-colourpicker | 1.3.0-lp153.6.2 | A Colour Picker Tool for Shiny and for Selecting Colours in |
| R-colourvision | 2.0.4-lp153.1.12 | Colour Vision Models |
| R-COLP | 1.0.0-lp153.1.8 | Causal Discovery for Categorical Data with Label Permutation |
| R-colr | 0.1.900-lp153.2.13 | Functions to Select and Rename Data |
| R-cols4all | 0.7.1-lp153.2.2 | Colors for all |
| R-COMBAT | 0.0.4-lp153.2.13 | A Combined Association Test for Genes using Summary Statisti |
| R-combat.enigma | 1.0-lp153.1.5 | Fit and Apply ComBat Harmonization for ENIGMA |
| R-combinat | 0.0_8-lp153.1.27 | combinatorics utilities |
| R-combinat | 0.0_8-1.30 | combinatorics utilities |
| R-combinat | 0.0.8-lp153.2.13 | combinatorics utilities |
| R-combinat | 0.0_8-lp155.1.5 | combinatorics utilities |
| R-combinat | 0.0_8-1.38 | combinatorics utilities |
| R-combinat | 0.0_8-lp154.1.10 | combinatorics utilities |
| R-combinationpvalues | 0.1.4-lp153.7.7 | Combination of Independent P-Values |
| R-combinatorics | 0.1.0-lp153.1.7 | Introduction to Some Combinatorial Relations |
| R-combinedevents | 0.1.1-lp153.9.2 | Calculate Scores and Marks for Track and Field Combined Even |
| R-CombinePortfolio | 0.4-lp153.2.13 | Estimation of Optimal Portfolio Weights by Combining Simple |
| R-CombinePValue | 1.0-lp153.2.13 | Combine a Vector of Correlated p-values |
| R-CombinS | 1.1.1-lp153.2.13 | Construction Methods of some Series of PBIB Designs |
| R-combiroc | 0.3.4-lp153.2.2 | Selection and Ranking of Omics Biomarkers Combinations Made |
| R-CombMSC | 1.4.2.1-lp153.2.13 | Combined Model Selection Criteria |
| R-comclim | 0.9.6-lp153.1.4 | Community Climate Statistics |
| R-cometExactTest | 0.1.5-lp153.13.7 | Exact Test from the Combinations of Mutually Exclusive Alter |
| R-cometr | 0.4.0-lp153.1.5 | \'Comet\' API for R |
| R-comf | 0.1.12-lp153.1.4 | Models and Equations for Human Comfort Research |
| R-comFuncs | 0.0.6-lp153.7.2 | Commonly Used Functions for R Shiny Applications |
| R-ComICS | 1.0.4-lp153.4.7 | Computational Methods for Immune Cell-Type Subsets |
| R-commandr | 1.0.1-lp153.2.19 | Command pattern in R |
| R-commentr | 1.0.4-lp153.6.7 | Print Nicely Formatted Comments for Use in Script Files |
| R-CommKern | 1.0.1-lp153.5.2 | Network-Based Communities and Kernel Machine Methods |
| R-common | 1.1.3-lp153.2.2 | Solutions for Common Problems in Base R |
| R-CommonJavaJars | 1.1.0-lp153.2.2 | Useful Libraries for Building a Java Based GUI under R |
| R-commonmark | 1.7-lp155.1.5 | High Performance CommonMark and Github Markdown Rendering in |
| R-commonmark | 1.7-1.32 | High Performance CommonMark and Github Markdown Rendering in |
| R-commonmark | 1.7-lp153.1.24 | High Performance CommonMark and Github Markdown Rendering in |
| R-commonmark | 1.7-1.28 | High Performance CommonMark and Github Markdown Rendering in |
| R-commonmark | 1.7-lp154.1.10 | High Performance CommonMark and Github Markdown Rendering in |
| R-CommonMean.Copula | 1.0.4-lp153.1.11 | Common Mean Vector under Copula Models |
| R-commonsMath | 1.2.8-lp153.1.5 | JAR Files of the Apache Commons Mathematics Library |
| R-CommT | 0.1.1-lp153.8.11 | Comparative Phylogeographic Analysis using the Community Tre |
| R-CommunityCorrelogram | 1.0-lp153.2.13 | Ecological Community Correlogram |
| R-comorbidPGS | 0.3.4-lp153.2.2 | Assessing Predisposition Between Phenotypes using Polygenic |
| R-Comp2ROC | 1.1.4-lp153.3.12 | Compare Two ROC Curves that Intersect |
| R-compactr | 0.1-lp153.2.13 | Creates empty plots with compact axis notation |
| R-compare | 0.2.6-lp153.2.13 | Comparing Objects for Differences |
| R-compareC | 1.3.2-lp153.1.9 | Compare Two Correlated C Indices with Right-Censored Surviva |
| R-CompareCausalNetworks | 0.2.6.2-lp153.2.13 | Interface to Diverse Estimation Methods of Causal Networks |
| R-compareDF | 2.3.5-lp153.14.2 | Do a Git Style Diff of the Rows Between Two Dataframes with |
| R-CompareMultipleModels | 0.1.0-lp153.2.3 | Finding the Best Model Using Eight Metrics Values |
| R-compareODM | 1.2-lp153.3.12 | comparison of medical forms in CDISC ODM format |
| R-CompareTests | 1.2-lp153.2.13 | Correct for Verification Bias in Diagnostic Accuracy & Agree |
| R-comparison | 1.0.8-lp153.1.5 | Multivariate Likelihood Ratio Calculation and Evaluation |
| R-ComparisonCR | 1.0.4-lp153.2.12 | Comparison of Cumulative Incidence Between Two Groups Under |
| R-ComparisonSurv | 1.1.1-lp153.1.8 | Comparison of Survival Curves Between Two Groups |
| R-CompDist | 1.0-lp153.5.7 | Multisection Composite Distributions |
| R-comperes | 0.2.7-lp153.2.2 | Manage Competition Results |
| R-competitiontoolbox | 0.7.1-lp153.11.2 | A Graphical User Interface for Antitrust and Trade Practitio |
| R-CompGR | 0.1.3-lp153.2.2 | Complete Annual Growth Rate Generator |
| R-compHclust | 1.0.3-lp153.2.13 | Complementary Hierarchical Clustering |
| R-compicc | 0.1.0-lp153.1.9 | Calculate the Confidence Interval for the Difference of ICCs |
| R-compiler | 4.4.1-192.1 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-50.1 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-50.1 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-50.1 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-56.163 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-194.138 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-lp153.192.1 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-lp155.192.1 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-56.163 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-50.0.2.1.sr20240605 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-lp154.192.1 | Package providing R-core packages R-compiler |
| R-compiler | 4.4.1-194.138 | Package providing R-core packages R-compiler |
| R-completejourney | 1.1.0-lp153.17.2 | Retail Shopping Data |
| R-complexity | 1.1.2-lp153.8.2 | Calculate the Proportion of Permutations in Line with an Inf |
| R-complexlm | 1.1.2-lp153.1.4 | Linear Fitting for Complex Valued Data |
| R-complexNet | 0.2.0-lp153.1.7 | Complex Network Generation |
| R-complexplus | 2.1-lp153.2.13 | Functions of Complex or Real Variable |
| R-complmrob | 0.7.0-lp153.14.5 | Robust Linear Regression with Compositional Data as Covariat |
| R-CompLognormal | 3.0-lp153.2.13 | Functions for actuarial scientists |
| R-CompModels | 0.3.0-lp153.1.8 | Pseudo Computer Models for Optimization |
| R-compositions | 2.0.8-lp153.1.4 | Compositional Data Analysis |
| R-composits | 0.1.1-lp153.8.7 | Compositional, Multivariate and Univariate Time Series Outli |
| R-CompoundEvents | 0.3.0-lp153.1.4 | Statistical Modeling of Compound Events |
| R-Compounding | 1.0.2-lp153.2.13 | Computing Continuous Distributions |
| R-CompPareto | 0.1.0-lp153.1.5 | Discrete Composite Distributions with Pareto Tails |
| R-CompQuadForm | 1.4.3-lp153.2.13 | Distribution function of quadratic forms in normal variables |
| R-CompR | 1.0-lp153.2.13 | Paired Comparison Data Analysis |
| R-CompRandFld | 1.0.3.6-lp153.3.11 | Composite-Likelihood Based Analysis of Random Fields |
| R-comprehenr | 0.6.10-lp153.1.13 | List Comprehensions |
| R-compute.es | 0.2.5-lp153.2.13 | Compute Effect Sizes |
| R-ComRiskModel | 0.2.0-lp153.1.5 | Fitting of Complementary Risk Models |
| R-comsimitv | 0.1.5-lp153.1.12 | Flexible Framework for Simulating Community Assembly |
| R-con2aqi | 0.1.0-lp153.2.13 | Calculate the AQI from Pollutant Concentration |
| R-con2lki | 0.1.0-lp153.1.13 | Calculate the Dutch Air Quality Index (LKI) |
| R-Conake | 1.0.1-lp153.1.9 | Continuous Associated Kernel Estimation |
| R-concatenate | 1.0.0-lp153.2.13 | Human-Friendly Text from Unknown Strings |
| R-concatipede | 1.0.1-lp153.3.4 | Easy Concatenation of Fasta Sequences |
| R-conclust | 1.1-lp153.2.13 | Pairwise Constraints Clustering |
| R-ConconiAnaerobicThresholdTest | 1.0.0-lp153.4.2 | Conconi Estimate of Anaerobic Threshold from a TCX File |
| R-concor | 1.0.0.1-lp153.2.13 | Concordance |
| R-concordance | 2.0.0-lp153.17.2 | Product Concordance |
| R-ConcordanceTest | 1.0.3-lp153.1.4 | An Alternative to the Kruskal-Wallis Based on the Kendall Ta |
| R-concorR | 0.2.1-lp153.16.4 | CONCOR and Supplemental Functions |
| R-concreg | 0.7-lp153.2.13 | Concordance Regression |
| R-concstats | 0.1.6-lp153.1.5 | Market Structure, Concentration and Inequality Measures |
| R-CONCUR | 1.4-lp153.5.7 | Copy Number Profile Curve-Based Association Test |
| R-cond | 1.2.3.1-lp153.2.13 | Approximate Conditional Inference for Logistic and Loglinear |
| R-condensr | 1.0.0-lp153.1.5 | Academic Group Website Generator |
| R-condformat | 0.10.1-lp153.5.2 | Conditional Formatting in Data Frames |
| R-condGEE | 0.2.0-lp153.1.9 | Parameter Estimation in Conditional GEE for Recurrent Event |
| R-CondIndTests | 0.1.5-lp153.6.7 | Nonlinear Conditional Independence Tests |
| R-conditionz | 0.1.0-lp153.3.12 | Control How Many Times Conditions are Thrown |
| R-condmixt | 1.1-lp153.2.13 | Conditional Density Estimation with Neural Network Condition |
| R-condMVNorm | 2020.1-lp153.2.13 | Conditional Multivariate Normal Distribution |
| R-CondMVT | 0.1.0-lp153.1.8 | Conditional Multivariate t Distribution, Expectation Maximiz |
| R-condorOptions | 1.0.1-lp153.3.7 | Trading Condor Options Strategies |
| R-CondReg | 0.20-lp153.2.13 | Condition Number Regularized Covariance Estimation |
| R-condSURV | 2.0.4-lp153.1.5 | Estimation of the Conditional Survival Function for Ordered |
| R-condTruncMVN | 0.0.2-lp153.2.12 | Conditional Truncated Multivariate Normal Distribution |
| R-conductor | 0.1.1-lp153.8.2 | Create Tours in \'Shiny\' Apps Using \'Shepherd.js\' |
| R-condusco | 0.1.0-lp153.18.4 | Query-Driven Pipeline Execution and Query Templates |
| R-condvis | 0.5.1-lp153.2.13 | Conditional Visualization for Statistical Models |
| R-condvis2 | 0.1.2-lp153.10.2 | Interactive Conditional Visualization for Supervised and Uns |
| R-conf.design | 2.0.0-lp155.1.5 | Construction of factorial designs |
| R-conf.design | 2.0.0-lp154.1.10 | Construction of factorial designs |
| R-conf.design | 2.0.0-lp153.1.26 | Construction of factorial designs |
| R-conf.design | 2.0.0-1.30 | Construction of factorial designs |
| R-conf.design | 2.0.0-1.38 | Construction of factorial designs |
| R-conf.design | 2.0.0-lp153.2.13 | Construction of factorial designs |
| R-confcons | 0.3.1-lp153.2.2 | Confidence and Consistency of Predictive Distribution Models |
| R-confidence | 1.1.2-lp153.18.5 | Confidence Estimation of Environmental State Classifications |
| R-config | 0.3.2-lp153.1.5 | Manage Environment Specific Configuration Values |
| R-ConfigParser | 1.0.0-lp153.3.12 | Package to Parse an INI File, Including Variable Interpolati |
| R-configr | 0.3.5-lp153.7.2 | An Implementation of Parsing and Writing Configuration File |
| R-configural | 0.1.5-lp153.2.2 | Multivariate Profile Analysis |
| R-confinterpret | 1.0.0-lp153.2.13 | Descriptive Interpretations of Confidence Intervals |
| R-confintr | 1.0.2-lp153.1.5 | Confidence Intervals |
| R-ConfIntVariance | 1.0.2-lp153.2.13 | Confidence Interval for the Univariate Population Variance w |
| R-conflicted | 1.0.3-1.47 | An Alternative Conflict Resolution Strategy |
| R-conflicted | 1.0.3-lp153.1.23 | An Alternative Conflict Resolution Strategy |
| R-conflicted | 1.0.3-lp154.1.10 | An Alternative Conflict Resolution Strategy |
| R-conflicted | 1.0.3-1.24 | An Alternative Conflict Resolution Strategy |
| R-conflicted | 1.0.3-lp155.1.5 | An Alternative Conflict Resolution Strategy |
| R-conflicted | 1.2.0-lp153.1.7 | An Alternative Conflict Resolution Strategy |
| R-conflr | 0.1.1-lp153.22.2 | Client for \'Confluence\' API |
| R-conformalClassification | 1.0.0-lp153.2.13 | Transductive and Inductive Conformal Predictions for Classif |
| R-conformalpvalue | 0.1.0-lp153.1.5 | Computes Conformal p-Values |
| R-ConformalSmallest | 1.0-lp153.3.7 | Efficient Tuning-Free Conformal Prediction |
| R-ConfoundedMeta | 1.3.0-lp153.9.12 | Sensitivity Analyses for Unmeasured Confounding in Meta-Anal |
| R-confreq | 1.6.1.1-lp153.1.7 | Configural Frequencies Analysis Using Log-Linear Modeling |
| R-confSAM | 0.2-lp153.2.13 | Estimates and Bounds for the False Discovery Proportion, by |
| R-congress | 0.0.3-lp153.1.4 | Access the Congress.gov API |
| R-conicfit | 1.0.4-lp153.2.13 | Algorithms for Fitting Circles, Ellipses and Conics Based on |
| R-conics | 0.3-lp153.2.13 | Plot Conics |
| R-conjoint | 1.41-lp153.12.2 | An Implementation of Conjoint Analysis Method |
| R-ConjointChecks | 0.0.9-lp153.2.13 | A package to check the cancellation axioms of conjoint measu |
| R-conjurer | 1.7.1-lp153.1.7 | A Parametric Method for Generating Synthetic Data |
| R-connectoModa | 1.0.0-lp153.1.3 | Download Data from Moda |
| R-connectwidgets | 0.2.1-lp153.7.2 | Organize and Curate Your Content Within \'Posit Connect\' |
| R-ConnMatTools | 0.3.5-lp153.2.13 | Tools for Working with Connectivity Data |
| R-conover.test | 1.1.6-lp153.2.2 | Conover-Iman Test of Multiple Comparisons Using Rank Sums |
| R-ConR | 1.3.0-lp153.1.5 | Computation of Parameters Used in Preliminary Assessment of |
| R-consolechoice | 1.1.1-lp153.1.10 | An Easy and Quick Way to Loop a Character Vector as a Menu i |
| R-consort | 1.2.2-lp153.1.2 | Create Consort Diagram |
| R-consortr | 0.9.1-lp153.16.2 | Interactive Consort Flow Diagrams |
| R-ConSpline | 1.2-lp153.3.7 | Partial Linear Least-Squares Regression using Constrained Sp |
| R-ConsRank | 2.1.3-lp153.2.5 | Compute the Median Ranking(s) According to the Kemeny\'s Axi |
| R-ConsRankClass | 1.0.1-lp153.16.5 | Classification and Clustering of Preference Rankings |
| R-constants | 1.0.1-lp153.1.13 | Reference on Constants, Units and Uncertainty |
| R-constellation | 0.2.0-lp153.2.13 | Identify Event Sequences Using Time Series Joins |
| R-contact | 1.2.8-lp153.4.8 | Creating Contact and Social Networks |
| R-contactdata | 1.0.0-lp153.1.5 | Social Contact Matrices for 177 Countries |
| R-container | 1.0.4-lp153.2.7 | Extending Base \'R\' Lists |
| R-ContaminatedMixt | 1.3.8-lp153.2.3 | Clustering and Classification with the Contaminated Normal |
| R-contentid | 0.0.18-lp153.1.5 | An Interface for Content-Based Identifiers |
| R-conText | 1.1.0-lp153.3.7 | \'a la Carte\' on Text (ConText) Embedding Regression |
| R-contextual | 0.9.8.4-lp153.3.12 | Simulation and Analysis of Contextual Multi-Armed Bandit Pol |
| R-contfrac | 1.1.12-lp153.2.13 | Continued fractions |
| R-contfrac | 1.1_10-lp155.2.5 | Continued fractions |
| R-contfrac | 1.1_10-2.32 | Continued fractions |
| R-contfrac | 1.1_10-2.38 | Continued fractions |
| R-contfrac | 1.1_10-lp154.2.10 | Continued fractions |
| R-contfrac | 1.1_10-lp153.2.26 | Continued fractions |
| R-conting | 1.7-lp153.2.13 | Bayesian Analysis of Contingency Tables |
| R-contingency | 0.0.10-lp153.1.7 | Discrete Multivariate Probability Distributions |
| R-contourPlot | 0.2.0-lp153.3.7 | Plots x,y,z Co-Ordinates in a Contour Map |
| R-contrast | 0.24.2-lp153.18.2 | A Collection of Contrast Methods |
| R-conTree | 0.3.1-lp153.1.4 | Contrast Trees and Boosting |
| R-ContRespPP | 0.4.2-lp153.1.8 | Predictive Probability for a Continuous Response with an ANO |
| R-contribution | 0.2.2-lp153.9.2 | A Tiny Contribution Table Generator Based on \'ggplot2\' |
| R-control | 0.2.5-lp153.2.13 | A Control Systems Toolbox |
| R-controlfunctionIV | 0.1.1-lp153.5.5 | Control Function Methods with Possibly Invalid Instrumental |
| R-controlTest | 1.1.0-lp153.2.13 | Quantile Comparison for Two-Sample Right-Censored Survival D |
| R-contsurvplot | 0.2.1-lp153.4.3 | Visualize the Effect of a Continuous Variable on a Time-to-E |
| R-contTimeCausal | 1.1-lp153.5.7 | Continuous Time Causal Models |
| R-convdistr | 1.6.2-lp153.2.2 | Convolute Probabilistic Distributions |
| R-ConvergenceClubs | 2.2.5-lp153.1.4 | Finding Convergence Clubs |
| R-convertbonds | 0.1.0-lp153.1.5 | Use the Given Parameters to Calculate the European Option Va |
| R-convertGraph | 0.1-lp153.2.13 | Convert Graphical Files Format |
| R-convertr | 0.1-lp153.17.2 | Convert Between Units |
| R-convexjlr | 0.8.1-lp153.12.5 | Disciplined Convex Programming in R using \'Convex.jl\' |
| R-convey | 1.0.0-lp153.3.2 | Income Concentration Analysis with Complex Survey Samples |
| R-Convolutioner | 0.1.0-lp153.1.13 | Convolution of Data |
| R-convoSPAT | 1.2.7-lp153.17.2 | Convolution-Based Nonstationary Spatial Modeling |
| R-cooccur | 1.3-lp153.13.2 | Probabilistic Species Co-Occurrence Analysis in R |
| R-cooccurNet | 0.1.6-lp153.5.13 | Co-Occurrence Network |
| R-CooccurrenceAffinity | 1.0-lp153.1.5 | Affinity in Co-Occurrence Data |
| R-cookiecutter | 0.1.0-lp153.2.2 | Generate Project Files from a Template |
| R-cookiemonster | 0.0.3-lp153.2.2 | Your Friendly Solution to Managing Browser Cookies |
| R-cookies | 0.2.3-lp153.5.2 | Use Browser Cookies with \'shiny\' |
| R-coop | 0.6.3-lp153.1.12 | Co-Operation: Fast Covariance, Correlation, and Cosine Simil |
| R-CoopGame | 0.2.2-lp153.2.7 | Important Concepts of Cooperative Game Theory |
| R-coopProductGame | 2.0-lp153.12.7 | Cooperative Aspects of Linear Production Programming Problem |
| R-cooptrees | 1.0-lp153.2.13 | Cooperative aspects of optimal trees in weighted graphs |
| R-CoordinateCleaner | 3.0.1-lp153.1.4 | Automated Cleaning of Occurrence Records from Biological Col |
| R-CooRTweet | 2.0.2-lp153.2.2 | Coordinated Networks Detection on Social Media |
| R-cope | 0.2.3-lp153.11.5 | Coverage Probability Excursion (CoPE) Sets |
| R-copent | 0.5-lp153.1.2 | Estimating Copula Entropy and Transfer Entropy |
| R-CopernicusMarine | 0.2.3-lp153.3.3 | Search Download and Handle Data from Copernicus Marine Servi |
| R-coppeCosenzaR | 0.1.3-lp153.2.13 | COPPE-Cosenza Fuzzy Hierarchy Model |
| R-coprimary | 1.0-lp153.10.12 | Sample Size Calculation for Two Primary Time-to-Event Endpoi |
| R-cops | 1.3.1-lp153.8.5 | Cluster Optimized Proximity Scaling |
| R-Copula.Markov | 2.9-lp153.1.11 | Copula-Based Estimation and Statistical Process Control for |
| R-Copula.Markov.survival | 1.0.0-lp153.2.13 | Copula Markov Model with Dependent Censoring |
| R-Copula.surv | 1.6-lp153.1.2 | Analysis of Bivariate Survival Data Based on Copulas |
| R-copulaboost | 0.1.0-lp153.2.7 | Fitting Additive Copula Regression Models for Binary Outcome |
| R-CopulaCenR | 1.1.3-lp153.5.10 | Copula-Based Regression Models for Bivariate Censored Data |
| R-copulaData | 0.0.2-lp153.2.2 | Data Sets for Copula Modeling |
| R-CopulaDTA | 1.0.1-lp153.3.4 | Copula Based Bivariate Beta-Binomial Model for Diagnostic Te |
| R-copulaedas | 1.4.3-lp153.3.7 | Estimation of Distribution Algorithms Based on Copulas |
| R-CopulaGAMM | 0.4.1-lp153.1.4 | Copula-Based Mixed Regression Models |
| R-CopulaInference | 0.5.0-lp153.1.5 | Estimation and Goodness-of-Fit of Copula-Based Models with A |
| R-copulareg | 0.1.0-lp153.2.7 | Copula Regression |
| R-copulaSim | 0.0.1-lp153.3.7 | Virtual Patient Simulation by Copula Invariance Property |
| R-CopyDetect | 1.3-lp153.4.10 | Computing Response Similarity Indices for Multiple-Choice Te |
| R-COR | 0.0.1-lp153.1.11 | The COR for Optimal Subset Selection in Distributed Estimati |
| R-cora | 0.1.0-lp153.2.12 | Cora Data for Entity Resolution |
| R-corazon | 0.1.0-lp153.8.2 | Apply \'colorffy\' Color Gradients Within \'shiny\' Elements |
| R-Corbi | 0.6.2-lp153.6.4 | Collection of Rudimentary Bioinformatics Tools |
| R-CorBin | 1.0.0-lp153.2.13 | Generate High-Dimensional Binary Data with Correlation Struc |
| R-corclass | 0.2.1-lp153.1.4 | Correlational Class Analysis |
| R-CorDiff | 1.0-lp153.2.13 | Set-Based Differential Covariance Testing for Genomics |
| R-core | 4.4.1-56.163 | The core components of R |
| R-core | 4.4.1-192.1 | The core components of R |
| R-core | 4.4.1-50.1 | The core components of R |
| R-core | 4.4.1-194.138 | The core components of R |
| R-CORE | 3.2-lp153.1.9 | Cores of Recurrent Events |
| R-core | 4.4.1-lp153.192.1 | The core components of R |
| R-core | 4.4.1-50.0.2.1.sr20240605 | The core components of R |
| R-core | 4.4.1-lp155.192.1 | The core components of R |
| R-core | 4.4.1-56.163 | The core components of R |
| R-core | 4.4.1-lp154.192.1 | The core components of R |
| R-core | 4.4.1-50.1 | The core components of R |
| R-core | 4.4.1-194.138 | The core components of R |
| R-core | 4.4.1-50.1 | The core components of R |
| R-core-devel | 4.4.1-56.163 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-lp154.192.1 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-194.138 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-192.1 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-50.1 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-50.0.2.1.sr20240605 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-lp153.192.1 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-lp155.192.1 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-50.1 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-50.1 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-194.138 | Libraries and include files for developing with R-base |
| R-core-devel | 4.4.1-56.163 | Libraries and include files for developing with R-base |
| R-core-doc | 4.4.1-194.138 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-lp155.192.1 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-194.138 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-lp153.192.1 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-50.0.2.1.sr20240605 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-lp154.192.1 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-50.1 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-192.1 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-50.1 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-50.1 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-56.163 | Package provides all documentation of R base. PDFs, man page |
| R-core-doc | 4.4.1-56.163 | Package provides all documentation of R base. PDFs, man page |
| R-core-libs | 4.4.1-50.1 | R language libraries |
| R-core-libs | 4.4.1-56.163 | R language libraries |
| R-core-libs | 4.4.1-lp154.192.1 | R language libraries |
| R-core-libs | 4.4.1-56.163 | R language libraries |
| R-core-libs | 4.4.1-50.1 | R language libraries |
| R-core-libs | 4.4.1-lp153.192.1 | R language libraries |
| R-core-libs | 4.4.1-194.138 | R language libraries |
| R-core-libs | 4.4.1-192.1 | R language libraries |
| R-core-libs | 4.4.1-50.0.2.1.sr20240605 | R language libraries |
| R-core-libs | 4.4.1-194.138 | R language libraries |
| R-core-libs | 4.4.1-lp155.192.1 | R language libraries |
| R-core-libs | 4.4.1-50.1 | R language libraries |
| R-coreCT | 1.3.3-lp153.8.4 | Programmatic Analysis of Sediment Cores Using Computed Tomog |
| R-CORElearn | 0.9.43-lp154.1.10 | CORElearn - classification, regression, feature evaluation a |
| R-CORElearn | 0.9.43-lp153.1.25 | CORElearn - classification, regression, feature evaluation a |
| R-CORElearn | 0.9.43-1.32 | CORElearn - classification, regression, feature evaluation a |
| R-CORElearn | 0.9.43-1.38 | CORElearn - classification, regression, feature evaluation a |
| R-CORElearn | 0.9.43-lp155.1.5 | CORElearn - classification, regression, feature evaluation a |
| R-coreSim | 0.2.4-lp153.13.7 | Core Functionality for Simulating Quantities of Interest fro |
| R-coreTDT | 1.0-lp153.2.13 | TDT for compound heterozygous and recessive models |
| R-corkscrew | 1.1-lp153.14.4 | Preprocessor for Data Modeling |
| R-corlink | 1.0.0-lp153.2.13 | Record Linkage, Incorporating Imputation for Missing Agreeme |
| R-CornerstoneR | 2.0.2-lp153.3.7 | Collection of Scripts for Interface Between \'Cornerstone\' |
| R-coro | 1.0.4-lp153.2.2 | \'Coroutines\' for R |
| R-coroICA | 1.0.2-lp153.2.13 | Confounding Robust Independent Component Analysis for Noisy |
| R-corona | 0.3.0-lp153.18.2 | Coronavirus (\'Rona\') Data Exploration |
| R-CoronaNetR | 0.3.0-lp153.2.5 | API Access to \'CoronaNet\' Data |
| R-corpcor | 1.6.10-lp153.1.12 | Efficient Estimation of Covariance and (Partial) Correlation |
| R-corpcor | 1.6.8-lp154.2.10 | Efficient Estimation of Covariance and (Partial) Correlation |
| R-corpcor | 1.6.8-lp153.2.26 | Efficient Estimation of Covariance and (Partial) Correlation |
| R-corpcor | 1.6.8-lp155.2.5 | Efficient Estimation of Covariance and (Partial) Correlation |
| R-corpcor | 1.6.8-2.38 | Efficient Estimation of Covariance and (Partial) Correlation |
| R-corpcor | 1.6.8-2.30 | Efficient Estimation of Covariance and (Partial) Correlation |
| R-corpora | 0.6-lp153.1.5 | Statistics and Data Sets for Corpus Frequency Data |
| R-CorporaCoCo | 2.0-lp153.1.8 | Corpora Co-Occurrence Comparison |
| R-CoRpower | 1.0.4-lp153.2.13 | Power Calculations for Assessing Correlates of Risk in Clini |
| R-corpus | 0.10.2-lp153.1.13 | Text Corpus Analysis |
| R-corr2D | 1.0.3-lp153.6.5 | Implementation of 2D Correlation Analysis in R |
| R-corrarray | 1.2.0-lp153.28.2 | Correlation Arrays and 2-Sample Correlation Matrices |
| R-corrDNA | 1.0.1-lp153.2.13 | Finding Associations in Position-Wise Aligned DNA Sequence D |
| R-correctedAUC | 0.0.3-lp153.3.9 | Correcting AUC for Measurement Error |
| R-CorrectedFDR | 1.1-lp153.1.12 | Correcting False Discovery Rates |
| R-CorrectOverloadedPeaks | 1.3.3-lp153.1.5 | Correct Overloaded Peaks from GC-APCI-MS Data |
| R-correctR | 0.2.1-lp153.2.2 | Corrected Test Statistics for Comparing Machine Learning Mod |
| R-corregp | 2.0.2-lp153.17.5 | Functions and Methods for Correspondence Regression |
| R-Correlplot | 1.1.0-lp153.1.4 | A Collection of Functions for Graphing Correlation Matrices |
| R-correspondenceTables | 0.7.4-lp153.1.8 | Creating Correspondence Tables Between Two Statistical Class |
| R-corrgram | 1.14-lp153.1.13 | Plot a correlogram |
| R-corrgrapher | 1.0.4-lp153.21.2 | Explore Correlations Between Variables in a Machine Learning |
| R-corrmeta | 1.0.0-lp153.2.2 | Correlated Meta-Analysis |
| R-corrplot | 0.73-1.38 | Visualization of a correlation matrix |
| R-corrplot | 0.73-1.25 | Visualization of a correlation matrix |
| R-corrplot | 0.73-lp155.1.5 | Visualization of a correlation matrix |
| R-corrplot | 0.73-lp154.1.10 | Visualization of a correlation matrix |
| R-corrplot | 0.73-lp153.1.23 | Visualization of a correlation matrix |
| R-corrr | 0.4.4-lp153.7.5 | Correlations in R |
| R-corrsieve | 1.6.9-lp153.1.9 | Software for Summarising and Evaluating STRUCTURE Output |
| R-corrtable | 0.1.1-lp153.5.2 | Creates and Saves Out a Correlation Table with Significance |
| R-corset | 0.1.5-lp153.1.7 | Arbitrary Bounding of Series and Time Series Objects |
| R-corTESTsrd | 1.0.0-lp153.1.7 | Significance Testing of Rank Cross-Correlations under SRD |
| R-corto | 1.2.4-lp153.4.2 | Inference of Gene Regulatory Networks |
| R-corTools | 1.0-lp153.2.13 | Tools for processing data after a Genome Wide Association St |
| R-COSINE | 2.1-lp153.2.13 | COndition SpecIfic sub-NEtwork |
| R-cosinor | 1.2.3-lp153.4.2 | Tools for Estimating and Predicting the Cosinor Model |
| R-cosinor2 | 0.2.1-lp153.28.2 | Extended Tools for Cosinor Analysis of Rhythms |
| R-cosmicsig | 1.1.1-lp153.1.5 | Mutational Signatures from COSMIC (Catalogue of Somatic Muta |
| R-cosmoFns | 1.1.1-lp153.1.9 | Functions for Cosmological Distances, Times, Luminosities, E |
| R-cosso | 2.1.2-lp153.1.5 | Fit Regularized Nonparametric Regression Models Using COSSO |
| R-COST | 0.1.0-lp153.2.12 | Copula-Based Semiparametric Models for Spatio-Temporal Data |
| R-costat | 2.4.1-lp153.1.5 | Time Series Costationarity Determination |
| R-costsensitive | 0.1.2.10-lp153.2.13 | Cost-Sensitive Multi-Class Classification |
| R-CosW | 0.1-lp153.2.13 | The CosW Distribution |
| R-cotrend | 1.0.2-lp153.2.13 | Consistent Co-Trending Rank Selection |
| R-couchDB | 1.4.1-lp153.4.8 | Connect to and Work with CouchDB Databases |
| R-COUNT | 1.3.4-lp153.2.13 | Functions, Data and Code for Count Data |
| R-countcolors | 0.9.1-lp153.2.12 | Locates and Counts Pixels Within Color Range(s) in Images |
| R-countdata | 1.3-lp153.1.5 | The Beta-Binomial Test for Count Data |
| R-countDM | 0.1.0-lp153.1.5 | Estimation of Count Data Models |
| R-countdown | 0.4.0-lp153.6.2 | A Countdown Timer for HTML Presentations, Documents, and Web |
| R-Counterfactual | 1.2-lp153.29.2 | Estimation and Inference Methods for Counterfactual Analysis |
| R-counterfactuals | 0.1.4-lp153.2.2 | Counterfactual Explanations |
| R-Counternull | 0.2.12-lp153.2.2 | Randomization-Based Inference |
| R-countfitteR | 1.4-lp153.20.2 | Comprehensive Automatized Evaluation of Distribution Models |
| R-countgmifs | 0.0.2-lp153.2.13 | Discrete Response Regression for High-Dimensional Data |
| R-countHMM | 0.1.0-lp153.2.13 | Penalized Estimation of Flexible Hidden Markov Models for Ti |
| R-countland | 0.1.2-lp153.1.4 | Analysis of Biological Count Data, Especially from Single-Ce |
| R-countprop | 1.0.1-lp153.1.5 | Calculate Model-Based Metrics of Proportionality on Count-Ba |
| R-countries | 1.2.0-lp153.1.4 | Deal with Country Data in an Easy Way |
| R-countrycode | 1.6.0-lp153.2.2 | Convert Country Names and Country Codes |
| R-CountsEPPM | 3.1-lp153.1.4 | Mean and Variance Modeling of Count Data |
| R-countts | 0.1.0-lp153.2.2 | Thomson Sampling for Zero-Inflated Count Outcomes |
| R-countyfloods | 0.1.0-lp153.12.11 | Quantify United States County-Level Flood Measurements |
| R-countytimezones | 1.0.0-lp153.9.11 | Convert from UTC to Local Time for United States Counties |
| R-countyweather | 0.1.0-lp153.5.12 | Compiles Meterological Data for U.S. Counties |
| R-covadap | 1.0.1-lp153.1.4 | Implement Covariate-Adaptive Randomization |
| R-covBM | 0.1.0-lp153.2.13 | Brownian Motion Processes for \'nlme\'-Models |
| R-CovCombR | 1.0-lp153.2.13 | Combine Partial Covariance / Relationship Matrices |
| R-coveffectsplot | 1.0.5-lp153.4.2 | Produce Forest Plots to Visualize Covariate Effects |
| R-covequal | 0.1.0-lp153.2.13 | Test for Equality of Covariance Matrices |
| R-covfefe | 0.1.0-lp153.6.2 | Covfefy Any Word, Sentence or Speech |
| R-COVID19 | 3.0.3-lp153.1.5 | R Interface to COVID-19 Data Hub |
| R-covid19dbcand | 0.1.1-lp153.2.13 | Selected \'Drugbank\' Drugs for COVID-19 Treatment Related D |
| R-covid19france | 0.1.0-lp153.17.2 | Cases of COVID-19 in France |
| R-covid19india | 0.1.4-lp153.8.7 | Pulling Clean Data from Covid19india.org |
| R-covid19mobility | 0.1.1-lp153.3.13 | Fetches Data on Covid-19 Mobility Trends from Different Sour |
| R-covid19nytimes | 0.1.3-lp153.3.13 | Pulls the Covid-19 Data from the New York Times Public Data |
| R-covid19srilanka | 1.1.0-lp153.1.5 | The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data in Sri |
| R-covid19tunisia | 0.1.0-lp153.1.4 | Cases of COVID-19 in Tunisia |
| R-covid19us | 0.1.9-lp153.10.2 | Cases of COVID-19 in the United States |
| R-Covid19Wastewater | 1.0.1-lp153.3.4 | Prepare, Analyze, and Visualize Covid-19 Wastewater Data |
| R-COVIDIBGE | 0.2.2-lp153.3.2 | Downloading, Reading and Analyzing PNAD COVID19 Microdata |
| R-covidnor | 2023.05.18-lp153.1.5 | Public COVID-19 Data for Norway |
| R-covidprobability | 0.1.0-lp153.1.13 | Estimate the Unit-Wide Probability of COVID-19 |
| R-covidregionaldata | 0.9.3-lp153.3.10 | Subnational Data for COVID-19 Epidemiology |
| R-covidsymptom | 0.9.3-lp153.1.11 | COVID Symptom Study Sweden Open Dataset |
| R-covKCD | 0.1-lp153.1.8 | Covariance Estimation for Matrix Data with the Kronecker-Cor |
| R-covLCA | 1.0-lp153.11.11 | Latent Class Models with Covariate Effects on Underlying and |
| R-covr | 3.5.0-1.29 | Test Coverage for Packages |
| R-covr | 3.6.4-lp153.1.4 | Test Coverage for Packages |
| R-covr | 3.5.0-lp155.1.5 | Test Coverage for Packages |
| R-covr | 3.5.0-lp153.1.24 | Test Coverage for Packages |
| R-covr | 3.5.0-lp154.1.10 | Test Coverage for Packages |
| R-covr | 3.5.0-1.33 | Test Coverage for Packages |
| R-covreg | 1.0-lp153.2.13 | A simultaneous regression model for the mean and covariance |
| R-covRobust | 1.1.3-lp153.2.13 | Robust Covariance Estimation via Nearest Neighbor Cleaning |
| R-CovSel | 1.2.1-lp153.6.7 | Model-Free Covariate Selection |
| R-covsep | 1.1.0-lp153.2.13 | Tests for Determining if the Covariance Structure of 2-Dimen |
| R-covsim | 1.1.0-lp153.2.2 | VITA, IG and PLSIM Simulation for Given Covariance and Margi |
| R-cowbell | 0.1.0-lp153.22.5 | Performs Segmented Linear Regression on Two Independent Vari |
| R-cowplot | 1.0.0-lp153.1.23 | Streamlined Plot Theme and Plot Annotations for \'ggplot2\' |
| R-cowplot | 1.1.3-lp153.1.4 | Streamlined Plot Theme and Plot Annotations for \'ggplot2\' |
| R-cowplot | 1.0.0-1.73 | Streamlined Plot Theme and Plot Annotations for \'ggplot2\' |
| R-cowplot | 1.0.0-1.24 | Streamlined Plot Theme and Plot Annotations for \'ggplot2\' |
| R-cowsay | 0.9.0-lp153.1.4 | Messages, Warnings, Strings with Ascii Animals |
| R-CoxAIPW | 0.0.3-lp153.7.2 | Doubly Robust Inference for Cox Marginal Structural Model wi |
| R-CoxBcv | 0.0.1.0-lp153.1.11 | Bias-Corrected Sandwich Variance Estimators for Marginal Cox |
| R-CoxBoost | 1.4-lp153.1.13 | Cox models by likelihood based boosting for a single surviva |
| R-coxerr | 1.1-lp153.1.5 | Cox Regression with Dependent Error in Covariates |
| R-CoxICPen | 1.1.0-lp153.1.13 | Variable Selection for Cox\'s Model with Interval-Censored D |
| R-coxinterval | 1.2-lp153.3.12 | Cox-Type Models for Interval-Censored Data |
| R-coxphf | 1.13.4-lp153.1.5 | Cox Regression with Firth\'s Penalized Likelihood |
| R-CoxPhLb | 1.2.0-lp153.2.13 | Analyzing Right-Censored Length-Biased Data |
| R-coxphMIC | 0.1.0-lp153.2.13 | Sparse Estimation of Cox Proportional Hazards Models via App |
| R-coxphSGD | 0.2.1-lp153.2.13 | Stochastic Gradient Descent log-Likelihood Estimation in Cox |
| R-coxphw | 4.0.3-lp153.1.4 | Weighted Estimation in Cox Regression |
| R-CoxR2 | 1.0-lp153.2.13 | R-Squared Measure Based on Partial LR Statistic, for the Cox |
| R-coxrobust | 1.0.1-lp153.2.7 | Fit Robustly Proportional Hazards Regression Model |
| R-coxsei | 0.3-lp153.2.13 | Fitting a CoxSEI Model |
| R-CP | 1.8-lp153.1.5 | Conditional Power Calculations |
| R-cpa | 1.0.1-lp153.1.9 | Confirmatory Path Analysis Through \'d-sep\' Tests |
| R-CPBayes | 1.1.0-lp153.5.7 | Bayesian Meta Analysis for Studying Cross-Phenotype Genetic |
| R-cpca | 0.1.2-lp153.2.13 | Methods to perform Common Principal Component Analysis (CPCA |
| R-cpcens | 0.1.0-lp153.2.13 | Changepoint Analysis using Censored Time Series Data |
| R-CPE | 1.6.3-lp153.10.2 | Concordance Probability Estimates in Survival Analysis |
| R-CpGFilter | 1.1-lp153.2.13 | CpG Filtering Method Based on Intra-Class Correlation Coeffi |
| R-cpk | 1.3.1-lp153.2.13 | Clinical Pharmacokinetics |
| R-cplots | 0.5.0-lp153.1.10 | Plots for Circular Data |
| R-cpm | 2.3-lp153.2.13 | Sequential and Batch Change Detection Using Parametric and N |
| R-cpmBigData | 0.0.1-lp153.12.2 | Fitting Semiparametric Cumulative Probability Models for Big |
| R-CPMCGLM | 1.2-lp153.3.7 | Correction of the P-Value after Multiple Coding in Generaliz |
| R-CpmERCCutoff | 1.0.0-lp153.1.8 | Calculation of Log2 Counts per Million Cutoff from ERCC Cont |
| R-CPNCoverageAnalysis | 1.1.0-lp153.1.12 | Conceptual Properties Norming Studies as Parameter Estimatio |
| R-cpp11 | 0.2.3-lp154.1.10 | A C++11 Interface for R\'s C Interface |
| R-cpp11 | 0.2.3-1.23 | A C++11 Interface for R\'s C Interface |
| R-cpp11 | 0.2.3-lp153.1.27 | A C++11 Interface for R\'s C Interface |
| R-cpp11 | 0.2.3-1.30 | A C++11 Interface for R\'s C Interface |
| R-cpp11 | 0.2.3-lp155.1.5 | A C++11 Interface for R\'s C Interface |
| R-cpp11-devel | 0.2.3-1.30 | Development files for R-cpp11 |
| R-cpp11-devel | 0.2.3-lp153.1.27 | Development files for R-cpp11 |
| R-cpp11-devel | 0.2.3-lp155.1.5 | Development files for R-cpp11 |
| R-cpp11-devel | 0.2.3-1.23 | Development files for R-cpp11 |
| R-cpp11-devel | 0.2.3-lp154.1.10 | Development files for R-cpp11 |
| R-cppdoubles | 0.2.0-lp153.1.4 | Fast Relative Comparisons of Floating Point Numbers in \'C++ |
| R-cprr | 0.2.0-lp153.2.13 | Functions for Working with Danish CPR Numbers |
| R-cPseudoMaRg | 1.0.1-lp153.1.12 | Constructs a Correlated Pseudo-Marginal Sampler |
| R-cpsR | 1.0.0-lp153.1.5 | Load CPS Microdata into R Using the \'Census Bureau Data\' A |
| R-CPsurv | 1.0.0-lp153.2.13 | Nonparametric Change Point Estimation for Survival Data |
| R-cpsurvsim | 1.2.2-lp153.5.2 | Simulating Survival Data from Change-Point Hazard Distributi |
| R-cpsvote | 0.1.0-lp153.15.2 | A Toolbox for Using the CPS’s Voting and Registration Supp |
| R-cpt | 1.0.2-lp153.4.7 | Classification Permutation Test |
| R-cptcity | 1.0.6-lp153.2.13 | \'cpt-city\' Colour Gradients |
| R-cptec | 0.1.1-lp153.1.9 | An Interface to the \'CPTEC/INPE\' API |
| R-cqcr | 0.1.2-lp153.16.7 | Access \'Care Quality Commission\' Data |
| R-cquad | 2.2-lp153.6.11 | Conditional Maximum Likelihood for Quadratic Exponential Mod |
| R-CR | 1.0-lp153.2.13 | Power Calculation for Weighted Log-Rank Tests in Cure Rate M |
| R-CRAC | 1.0-lp153.2.13 | Cosmology R Analysis Code |
| R-cragg | 0.0.1-lp153.1.13 | Tests for Weak Instruments in R |
| R-crank | 1.1.2-lp153.2.13 | Completing ranks |
| R-cranlike | 1.0.3-lp153.2.2 | Tools for \'CRAN\'-Like Repositories |
| R-cranlogs | 2.1.1-lp153.2.12 | Download Logs from the \'RStudio\' \'CRAN\' Mirror |
| R-cranly | 0.6.0-lp153.14.2 | Package Directives and Collaboration Networks in CRAN |
| R-CRANsearcher | 1.0.0-lp153.25.2 | RStudio Addin for Searching Packages in CRAN Database Based |
| R-crantastic | 0.1-lp153.2.13 | Various R tools for http://crantastic.org/ |
| R-crassmat | 0.0.6-lp153.2.13 | Conditional Random Sampling Sparse Matrices |
| R-crayon | 1.3.4-lp155.7.5 | Colored Terminal Output |
| R-crayon | 1.3.4-7.30 | Colored Terminal Output |
| R-crayon | 1.3.4-7.32 | Colored Terminal Output |
| R-crayon | 1.3.4-lp154.7.10 | Colored Terminal Output |
| R-crayon | 1.3.4-lp153.7.28 | Colored Terminal Output |
| R-crayons | 0.0.3-lp153.2.2 | Color Palettes from Crayon Boxes |
| R-crc32c | 0.0.2-lp153.1.5 | Cyclic Redundancy Check with CPU-Specific Acceleration |
| R-CRE | 0.2.6-lp153.2.2 | Interpretable Discovery and Inference of Heterogeneous Treat |
| R-CREAM | 1.1.1-lp153.2.13 | Clustering of Genomic Regions Analysis Method |
| R-createLogicalPCM | 0.1.0-lp153.1.7 | Create Logical Pairwise Comparison Matrix for the Analytic H |
| R-CRediTas | 0.2.0-lp153.1.5 | Generate CRediT Author Statements |
| R-CreditMetrics | 0.0.2-lp153.2.13 | Functions for calculating the CreditMetrics risk model |
| R-creditmodel | 1.3.1-lp153.9.7 | Toolkit for Credit Modeling, Analysis and Visualization |
| R-CreditRisk | 0.1.7-lp153.2.2 | Evaluation of Credit Risk with Structural and Reduced Form M |
| R-CREDS | 0.1.0-lp153.1.8 | Calibrated Ratio Estimator under Double Sampling Design |
| R-credsubs | 1.1.1-lp153.2.13 | Credible Subsets |
| R-credule | 0.1.4-lp153.2.13 | Credit Default Swap Functions |
| R-cregg | 0.4.0-lp153.16.2 | Simple Conjoint Tidying, Analysis, and Visualization |
| R-cRegulome | 0.3.2-lp153.12.7 | Obtain and Visualize Regulome-Gene Expression Correlations i |
| R-CRF | 0.4.3-lp153.2.13 | Conditional Random Fields |
| R-cricketdata | 0.2.3-lp153.2.4 | International Cricket Data |
| R-crimelinkage | 0.0.4-lp153.4.7 | Statistical Methods for Crime Series Linkage |
| R-crimeutils | 0.3.0-lp153.13.7 | A Comprehensive Set of Functions to Clean, Analyze, and Pres |
| R-crisp | 1.0.0-lp153.2.13 | Fits a Model that Partitions the Covariate Space into Blocks |
| R-criticalpath | 0.2.1-lp153.9.4 | An Implementation of the Critical Path Method |
| R-critpath | 0.2.2-lp153.5.2 | Setting the Critical Path in Project Management |
| R-CRM | 1.2.4-lp153.2.13 | Continual Reassessment Method (CRM) for Phase I Clinical Tri |
| R-crmReg | 1.0.2-lp153.14.7 | Cellwise Robust M-Regression and SPADIMO |
| R-crn | 1.1-lp153.3.12 | Downloads and Builds datasets for Climate Reference Network |
| R-crochet | 2.3.0-lp153.2.13 | Implementation Helper for \'[\' and \'[<-\' of Custom Matrix |
| R-cromwellDashboard | 0.5.1-lp153.24.2 | A Dashboard to Visualize Scientific Workflows in \'Cromwell\ |
| R-Cronbach | 0.1-lp153.2.12 | Cronbach\'s Alpha |
| R-crone | 0.1.1-lp153.2.13 | Structural Crystallography in 1d |
| R-cronologia | 0.2.0-lp153.7.2 | Create an HTML Vertical Timeline from a Data Frame in \'rmar |
| R-cronR | 0.6.5-lp153.1.7 | Schedule R Scripts and Processes with the \'cron\' Job Sched |
| R-crop | 0.0.3-lp153.2.2 | Graphics Cropping Tool |
| R-cropcircles | 0.2.4-lp153.1.4 | Crops an Image to a Circle |
| R-cropdatape | 1.0.0-lp153.2.13 | Open Data of Agricultural Production of Crops of Peru |
| R-cropDemand | 1.0.3-lp153.1.4 | Spatial Crop Water Demand for Brazil |
| R-cropgrowdays | 0.2.1-lp153.2.2 | Crop Growing Degree Days and Agrometeorological Calculations |
| R-CropScapeR | 1.1.5-lp153.2.4 | Access Cropland Data Layer Data via the \'CropScape\' Web Se |
| R-CropWaterBalance | 0.2.0-lp153.2.2 | Climate Water Balance for Irrigation Purposes |
| R-cropZoning | 1.0.3-lp153.1.4 | Climate Crop Zoning Based in Air Temperature for Brazil |
| R-CrossClustering | 4.1.2-lp153.2.2 | A Partial Clustering Algorithm |
| R-crossdes | 1.1.2-lp153.1.10 | Construction of Crossover Designs |
| R-crosshap | 1.4.0-lp153.2.2 | Local Haplotype Clustering and Visualization |
| R-crossmap | 0.4.0-lp153.2.7 | Apply Functions to All Combinations of List Elements |
| R-crossReg | 1.0-lp153.2.13 | Confidence intervals for crossover points of two simple regr |
| R-Crosstabs.Loglinear | 0.1.1-lp153.2.7 | Cross Tabulation and Loglinear Analyses of Categorical Data |
| R-crosstalk | 1.0.0-lp153.3.14 | Inter-Widget Interactivity for HTML Widgets |
| R-crosstalk | 1.0.0-3.94 | Inter-Widget Interactivity for HTML Widgets |
| R-crosstalk | 1.2.1-lp153.3.2 | Inter-Widget Interactivity for HTML Widgets |
| R-crosstalk | 1.0.0-3.14 | Inter-Widget Interactivity for HTML Widgets |
| R-CrossVA | 1.0.0-lp153.4.2 | Verbal Autopsy Data Transformation for InSilicoVA and InterV |
| R-crossval | 1.0.5-lp153.1.5 | Generic Functions for Cross Validation |
| R-crossvalidationCP | 1.1-lp153.1.5 | Cross-Validation for Change-Point Regression |
| R-crosswalkr | 0.2.6-lp153.19.2 | Rename and Encode Data Frames Using External Crosswalk Files |
| R-crossword.r | 0.3.6-lp153.15.2 | Generating Crosswords from Word Lists |
| R-crov | 0.3.0-lp153.1.5 | Constrained Regression Model for an Ordinal Response and Ord |
| R-crplyr | 0.4.0-lp153.5.2 | A \'dplyr\' Interface for Crunch |
| R-crqa | 2.0.6-lp153.1.2 | Unidimensional and Multidimensional Methods for Recurrence Q |
| R-crrcbcv | 1.0-lp153.1.11 | Bias-Corrected Variance for Competing Risks Regression with |
| R-crrp | 1.0-lp153.2.13 | Penalized Variable Selection in Competing Risks Regression |
| R-crrSC | 1.1.2-lp153.1.9 | Competing Risks Regression for Stratified and Clustered Data |
| R-crrstep | 2023.1.1-lp153.1.5 | Stepwise Covariate Selection for the Fine & Gray Competing R |
| R-crseEventStudy | 1.2.2-lp153.1.11 | A Robust and Powerful Test of Abnormal Stock Returns in Long |
| R-crsmeta | 0.3.0-lp153.2.13 | Extract Coordinate System Metadata |
| R-crsnls | 0.2-lp153.2.13 | Nonlinear Regression Parameters Estimation by \'CRS4HC\' and |
| R-crso | 0.1.1-lp153.2.13 | Cancer Rule Set Optimization (\'crso\') |
| R-crsra | 0.2.3-lp153.19.2 | Tidying and Analyzing \'Coursera\' Research Export Data |
| R-crsuggest | 0.4-lp153.17.2 | Obtain Suggested Coordinate Reference System Information for |
| R-crtests | 0.2.1-lp153.25.5 | Classification and Regression Tests |
| R-CRTgeeDR | 2.0.1-lp153.4.5 | Doubly Robust Inverse Probability Weighted Augmented GEE Est |
| R-CRTSize | 1.2-lp153.1.7 | Sample Size Estimation Functions for Cluster Randomized Tria |
| R-crul | 0.5.2-1.24 | HTTP Client |
| R-crul | 0.5.2-lp153.1.23 | HTTP Client |
| R-crul | 0.5.2-1.58 | HTTP Client |
| R-crul | 0.5.2-lp155.1.5 | HTTP Client |
| R-crul | 0.5.2-lp154.1.10 | HTTP Client |
| R-crunch | 1.30.4-lp153.1.4 | Crunch.io Data Tools |
| R-crunchy | 0.3.3-lp153.9.2 | Shiny Apps on Crunch |
| R-cruts | 1.1-lp153.9.4 | Interface to Climatic Research Unit Time-Series Version 3.21 |
| R-CruzPlot | 1.4.8-lp153.17.2 | Plot Shipboard DAS Data |
| R-CRWRM | 0.0.1-lp153.2.13 | Changing the Reference Group without Re-Running the Model |
| R-cry | 0.5.1-lp153.3.5 | Statistics for Structural Crystallography |
| R-cryptography | 1.0.0-lp153.3.4 | Encrypts and Decrypts Text Ciphers |
| R-cryptoQuotes | 1.3.1-lp153.1.2 | A Streamlined Access to Cryptocurrency OHLC-V Market Data an |
| R-cryptorng | 0.1.4-lp153.2.2 | Access System Cryptographic Pseudorandom Number Generators |
| R-cryptoTax | 0.0.5-lp153.1.5 | Report Crypto Taxes (Canada Only) |
| R-cryptotrackr | 1.3.3-lp153.1.2 | An Interface to Crypto Data Sources |
| R-cryptoverse | 0.1.0-lp153.1.11 | Visualization and Analytics for the Cryptoverse |
| R-cryptowatchR | 0.2.0-lp153.5.7 | An API Wrapper for \'Cryptowatch\' |
| R-cryst | 0.1.0-lp153.3.12 | Calculate the Relative Crystallinity of Starch by XRD and FT |
| R-csabounds | 1.0.0-lp153.9.8 | Bounds on Distributional Treatment Effect Parameters |
| R-csampling | 1.2.2.1-lp153.2.13 | Functions for Conditional Simulation in Regression-Scale Mod |
| R-CsChange | 0.1.7-lp153.8.2 | Testing for Change in C-Statistic |
| R-csdata | 2024.4.26-lp153.2.2 | Structural Data for Norway |
| R-CSeqpat | 0.1.2-lp153.4.4 | Frequent Contiguous Sequential Pattern Mining of Text |
| R-CSGo | 0.6.7-lp153.13.2 | Collecting Counter Strike Global Offensive Data |
| R-cshapes | 0.6-lp153.2.13 | The CShapes Dataset and Utilities |
| R-CSHShydRology | 1.3.0-lp153.5.5 | Canadian Hydrological Analyses |
| R-CSIndicators | 1.1.1-lp153.1.4 | Climate Services\' Indicators Based on Sub-Seasonal to Decad |
| R-csmaps | 2023.5.22-lp153.1.5 | Preformatted Maps of Norway that Don\'t Need Geolibraries |
| R-CSMES | 1.0.1-lp153.1.7 | Cost-Sensitive Multi-Criteria Ensemble Selection for Uncerta |
| R-csn | 1.1.3-lp153.2.13 | Closed Skew-Normal Distribution |
| R-csodata | 1.5.0-lp153.1.2 | Download Data from the CSO \'PxStat\' API |
| R-csp | 0.1.0-lp153.2.13 | Correlates of State Policy Data Set in R |
| R-cspec | 0.1.2-lp153.2.13 | Complete Discrete Fourier Transform (DFT) and Periodogram |
| R-cspp | 0.3.3-lp153.5.2 | A Tool for the Correlates of State Policy Project Data |
| R-csppData | 0.2.61-lp153.1.9 | Data Only: The Correlates of State Policy Project Dataset |
| R-csrplus | 1.03.0-lp153.2.13 | Methods to Test Hypotheses on the Distribution of Spatial Po |
| R-csSAM | 1.2.4-lp153.2.13 | csSAM - cell-specific Significance Analysis of Microarrays |
| R-cssTools | 1.0-lp153.12.5 | Cognitive Social Structure Tools |
| R-cstar | 1.0-lp153.2.13 | Substantive significance testing for regression estimates an |
| R-cstidy | 2023.5.24-lp153.2.2 | Helpful Functions for Cleaning Surveillance Data |
| R-cstime | 2023.5.3-lp153.1.5 | Date and Time Functions for Public Health Purposes |
| R-CSTools | 5.2.0-lp153.1.4 | Assessing Skill of Climate Forecasts on Seasonal-to-Decadal |
| R-csutil | 2023.4.25-lp153.1.5 | Common Base-R Problems Relating to Lists |
| R-CSUV | 0.1.1-lp153.17.10 | Combined Selection and Uncertainty Visualiser (CSUV) |
| R-csv | 0.6.2-lp153.3.2 | Read and Write CSV Files with Selected Conventions |
| R-csvread | 1.2.2-lp153.1.4 | Fast Specialized CSV File Loader |
| R-csvwr | 0.1.7-lp153.6.2 | Read and Write CSV on the Web (CSVW) Tables and Metadata |
| R-csvy | 0.3.0-lp153.2.13 | Import and Export CSV Data with a YAML Metadata Header |
| R-cta | 1.3.0-lp153.1.12 | Contingency Table Analysis Based on ML Fitting of MPH Models |
| R-CTAShiny | 0.1.0-lp153.14.2 | Interactive Application for Working with Contingency Tables |
| R-ctbi | 2.0.5-lp153.1.7 | A Procedure to Clean, Decompose and Aggregate Timeseries |
| R-ctf | 0.1.0-lp153.1.12 | Read and Write Column Text Format (CTF) |
| R-cthreshER | 1.1.0-lp153.2.13 | Continuous Threshold Expectile Regression |
| R-ctl | 1.0.0.10-lp153.1.4 | Correlated Trait Locus Mapping |
| R-CTM | 0.2-lp153.3.7 | A Text Mining Toolkit for Chinese Document |
| R-ctmcmove | 1.2.9-lp153.23.4 | Modeling Animal Movement with Continuous-Time Discrete-Space |
| R-ctmle | 0.1.2-lp153.4.7 | Collaborative Targeted Maximum Likelihood Estimation |
| R-ctmm | 0.5.10-lp153.2.13 | Continuous-Time Movement Modeling |
| R-ctmva | 1.4.0-lp153.1.4 | Continuous-Time Multivariate Analysis |
| R-CTNote | 0.1.0-lp153.4.2 | CTN Outcomes, Treatments, and Endpoints |
| R-cTOST | 1.0.0-lp153.4.2 | Finite Sample Correction of the Two One-Sided Tests in the U |
| R-CTP | 3.0.1-lp153.25.5 | Closed Testing Procedure (CTP) |
| R-ctqr | 2.1-lp153.4.2 | Censored and Truncated Quantile Regression |
| R-ctrdata | 1.7.1-lp153.1.12 | Retrieve and Analyze Clinical Trials in Public Registers |
| R-ctrialsgov | 0.2.5-lp153.19.2 | Query Data from U.S. National Library of Medicine\'s Clinica |
| R-ctsfeatures | 1.2.2-lp153.1.4 | Analyzing Categorical Time Series |
| R-CTT | 2.3.3-lp153.2.13 | Classical Test Theory Functions |
| R-CTTinShiny | 0.1.0-lp153.13.2 | Shiny Interface for the CTT Package |
| R-ctv | 0.9.5-lp153.1.5 | CRAN Task Views |
| R-CUB | 1.1.5-lp153.1.3 | A Class of Mixture Models for Ordinal Data |
| R-cubature | 2.0.4-lp153.1.25 | Adaptive multivariate integration over hypercubes |
| R-cubature | 2.0.4-1.27 | Adaptive multivariate integration over hypercubes |
| R-cubature | 2.0.4-lp154.1.10 | Adaptive multivariate integration over hypercubes |
| R-cubature | 2.0.4-lp155.1.5 | Adaptive multivariate integration over hypercubes |
| R-cubature | 2.0.4-1.35 | Adaptive multivariate integration over hypercubes |
| R-cubelyr | 1.0.0-lp153.1.24 | A Data Cube \'dplyr\' Backend |
| R-cubelyr | 1.0.0-1.34 | A Data Cube \'dplyr\' Backend |
| R-cubelyr | 1.0.2-lp153.3.7 | A Data Cube \'dplyr\' Backend |
| R-cubelyr | 1.0.0-1.25 | A Data Cube \'dplyr\' Backend |
| R-cubeview | 0.2.0-lp153.8.2 | View 3D Raster Cubes Interactively |
| R-cubicBsplines | 1.0.0-lp153.1.12 | Computation of a Cubic B-Spline Basis and Its Derivatives |
| R-cubing | 1.0.5-lp153.17.5 | Rubik\'s Cube Solving |
| R-Cubist | 0.2.2-lp153.2.30 | Rule- and Instance-Based Regression Modeling |
| R-cultevo | 1.0.2-lp153.28.2 | Tools, Measures and Statistical Tests for Cultural Evolution |
| R-CUMP | 2.0-lp153.2.13 | Analyze Multivariate Phenotypes by Combining Univariate Resu |
| R-cumplyr | 0.1.1-lp153.2.19 | Extends ddply to allow calculation of cumulative quantities. |
| R-cumprinc | 0.1-lp153.2.7 | Functions Centered Around Microsoft Excel Cumprinc Function |
| R-cumSeg | 1.3-lp153.2.13 | Change Point Detection in Genomic Sequences |
| R-cumstats | 1.0-lp153.2.13 | Cumulative Descriptive Statistics |
| R-cumulcalib | 0.0.1-lp155.1.1 | Cumulative Calibration Assessment for Prediction Models |
| R-cumulcalib | 0.0.1-lp154.1.1 | Cumulative Calibration Assessment for Prediction Models |
| R-cumulcalib | 0.0.1-lp153.1.2 | Cumulative Calibration Assessment for Prediction Models |
| R-cumulocityr | 0.1.0-lp153.2.12 | Client for the \'Cumulocity\' API |
| R-cuperdec | 1.1.0-lp153.9.2 | Cumulative Percent Decay Curve Generator |
| R-cuRe | 1.1.0-lp153.1.11 | Parametric Cure Model Estimation |
| R-CureDepCens | 0.1.0-lp153.1.5 | Dependent Censoring Regression Models with Cure Fraction |
| R-curephEM | 0.3.0-lp153.1.4 | NPMLE for Logistic-Cox Cure-Rate Model |
| R-cureplots | 1.1.0-lp153.1.4 | CURE (Cumulative Residual) Plots |
| R-curl | 4.3-1.36 | A Web Client for R |
| R-curl | 4.3-lp153.1.28 | A Web Client for R |
| R-curl | 4.3-1.27 | A Web Client for R |
| R-curl | 4.3-lp155.1.5 | A Web Client for R |
| R-curl | 4.3-lp154.1.10 | A Web Client for R |
| R-currencyapi | 0.1.0-lp153.1.5 | Client for the \'currencyapi.com\' Currency Conversion API |
| R-currentSurvival | 1.1-lp153.1.9 | Estimation of CCI and CLFS Functions |
| R-CurricularAnalytics | 1.0.0-lp153.2.2 | Exploring and Analyzing Academic Curricula |
| R-currr | 0.1.2-lp153.4.2 | Apply Mapping Functions in Frequent Saving |
| R-curry | 0.1.1-lp153.2.13 | Partial Function Application with %<%, <%, and %><% |
| R-cursr | 0.1.0-lp153.1.13 | Cursor and Terminal Manipulation |
| R-curtailment | 0.2.6-lp153.2.2 | Finds Binary Outcome Designs Using Stochastic Curtailment |
| R-curvecomp | 0.1.0-lp153.2.13 | Multiple Curve Comparisons Using Parametric Bootstrap |
| R-curvHDR | 1.2.2-lp153.1.5 | Filtering of Flow Cytometry Samples |
| R-curvir | 0.1.1-lp153.3.2 | Specify Reserve Demand Curves |
| R-CustomDerivative | 0.1.1-lp153.1.5 | Pricing Various Types of Custom Derivatives |
| R-CustomerScoringMetrics | 1.0.0-lp153.2.13 | Evaluation Metrics for Customer Scoring Models Depending on |
| R-customizedTraining | 1.2-lp153.4.7 | Customized Training for Lasso and Elastic-Net Regularized Ge |
| R-customsteps | 0.7.1.0-lp153.11.10 | Customizable Higher-Order Recipe Step Functions |
| R-CustosAscensor | 0.1.0-lp153.2.13 | Costs Allocation for the Installation of an Elevator |
| R-cusumcharter | 0.1.0-lp153.7.5 | Easier CUSUM Control Charts |
| R-CUSUMdesign | 1.1.5-lp153.2.13 | Compute Decision Interval and Average Run Length for CUSUM C |
| R-cutoff | 1.3-lp153.22.2 | Seek the Significant Cutoff Value |
| R-cutoffR | 1.0-lp153.9.11 | CUTOFF: A Spatio-temporal Imputation Method |
| R-CutpointsOEHR | 0.1.2-lp153.2.13 | Optimal Equal-HR Method to Find Two Cutpoints for U-Shaped R |
| R-cuttlefish.model | 1.0-lp153.2.13 | An R package to perform LPUE standardization and stock asses |
| R-cvam | 0.9.3-lp153.1.7 | Coarsened Variable Modeling |
| R-cvar | 0.5-lp153.1.7 | Compute Expected Shortfall and Value at Risk for Continuous |
| R-cvAUC | 1.1.4-lp153.1.11 | Cross-Validated Area Under the ROC Curve Confidence Interval |
| R-CVcalibration | 1.0.1-lp153.2.13 | Estimation of the Calibration Equation with Error-in Observa |
| R-cvcqv | 1.0.0-lp153.14.10 | Coefficient of Variation (CV) with Confidence Intervals (CI) |
| R-cvcrand | 0.1.1-lp153.4.2 | Efficient Design and Analysis of Cluster Randomized Trials |
| R-CVD | 1.0.2-lp153.2.13 | Color Vision Deficiencies |
| R-CVEK | 0.1.2-lp153.2.12 | Cross-Validated Kernel Ensemble |
| R-cvequality | 0.2.0-lp153.2.13 | Tests for the Equality of Coefficients of Variation from Mul |
| R-cvGEE | 0.3.0-lp153.2.13 | Cross-Validated Predictions from GEE |
| R-CVglasso | 1.0-lp153.16.7 | Lasso Penalized Precision Matrix Estimation |
| R-cvmaPLFAM | 0.1.0-lp153.2.4 | Cross-Validation Model Averaging for Partial Linear Function |
| R-cvmdisc | 0.1.0-lp153.2.13 | Cramer von Mises Tests for Discrete or Grouped Distributions |
| R-cvmgof | 1.0.3-lp153.1.13 | Cramer-von Mises Goodness-of-Fit Tests |
| R-cvq2 | 1.2.0-lp153.2.13 | Calculate the predictive squared correlation coefficient |
| R-CVrisk | 1.1.1-lp153.1.5 | Compute Risk Scores for Cardiovascular Diseases |
| R-cvsem | 1.0.0-lp153.2.7 | SEM Model Comparison with K-Fold Cross-Validation |
| R-CVST | 0.2.3-lp153.1.11 | Fast Cross-Validation via Sequential Testing |
| R-CVThresh | 1.1.2-lp153.1.9 | Level-Dependent Cross-Validation Thresholding |
| R-cvTools | 0.3.3-lp153.2.2 | Cross-Validation Tools for Regression Models |
| R-CVTuningCov | 1.0-lp153.2.13 | Regularized Estimators of Covariance Matrices with CV Tuning |
| R-cvwrapr | 1.0-lp153.1.12 | Tools for Cross Validation |
| R-cvxbiclustr | 0.0.1-lp153.2.13 | Convex Biclustering Algorithm |
| R-cwhmisc | 6.6-lp153.2.13 | Miscellaneous Functions for Math, Plotting, Printing, Statis |
| R-cwm | 0.0.3-lp153.2.13 | Cluster Weighted Models by EM algorithm |
| R-cwot | 0.1.0-lp153.1.8 | Cauchy Weighted Joint Test for Pharmacogenetics Analysis |
| R-cxhull | 0.7.2-lp153.2.5 | Convex Hull |
| R-cxxfunplus | 1.0.2-lp153.1.5 | Extend \'cxxfunction\' by Saving the Dynamic Shared Objects |
| R-cyclocomp | 1.1.0-lp153.1.24 | Cyclomatic Complexity of R Code |
| R-cyclocomp | 1.1.0-1.39 | Cyclomatic Complexity of R Code |
| R-cyclocomp | 1.1.0-1.27 | Cyclomatic Complexity of R Code |
| R-cyclocomp | 1.1.1-lp153.2.4 | Cyclomatic Complexity of R Code |
| R-cycloids | 1.0.2-lp153.1.5 | Tools for Calculating Hypocycloids, Epicycloids, Hypotrochoi |
| R-cyclomort | 1.0.2-lp153.11.10 | Survival Modeling with a Periodic Hazard Function |
| R-cyclotomic | 1.3.0-lp153.1.4 | The Field of Cyclotomic Numbers |
| R-cylcop | 0.2.0-lp153.7.5 | Circular-Linear Copulas with Angular Symmetry for Movement D |
| R-cymruservices | 0.5.0-lp153.6.2 | Query \'Team Cymru\' \'IP\' Address, Autonomous System Numbe |
| R-cyphid | 1.1-lp153.11.11 | Cycle and Phase Identification for mastication data |
| R-cystiSim | 0.1.0-lp153.17.5 | Agent-Based Model for Taenia_solium Transmission and Control |
| R-CytobankAPI | 2.2.1-lp153.2.4 | Cytobank API Wrapper for R |
| R-CytobankBridgeR | 1.0.0-lp153.3.10 | Bridging and Extending the CytobankAPI Package in R to the C |
| R-cytoDiv | 0.5.3-lp153.2.13 | Cytometric diversity indices |
| R-cytofan | 0.1.0-lp153.14.5 | Plot Fan Plots for Cytometry Data using \'ggplot2\' |
| R-czechrates | 0.2.5-lp153.2.2 | Czech Interest & Foreign Exchange Rates |
| R-D3GB | 2.0-lp153.2.2 | Interactive Genome Browser |
| R-D3mirt | 1.0.3-lp153.1.5 | Descriptive 3D Multidimensional Item Response Theory Modelin |
| R-d3Network | 0.5.2.1-1.25 | Tools for creating D3 JavaScript network and tree graphs fro |
| R-d3Network | 0.5.2.1-lp154.1.10 | Tools for creating D3 JavaScript network and tree graphs fro |
| R-d3Network | 0.5.2.1-lp155.1.5 | Tools for creating D3 JavaScript network and tree graphs fro |
| R-d3Network | 0.5.2.1-lp153.1.23 | Tools for creating D3 JavaScript network and tree graphs fro |
| R-d3Network | 0.5.2.1-lp153.3.7 | Tools for creating D3 JavaScript network, tree, dendrogram, |
| R-d3Network | 0.5.2.1-1.54 | Tools for creating D3 JavaScript network and tree graphs fro |
| R-D3partitionR | 0.5.0-lp153.15.2 | Interactive Charts of Nested and Hierarchical Data with \'D3 |
| R-d3plus | 0.1.0-lp153.14.2 | Seamless \'D3Plus\' Integration |
| R-d3po | 0.5.5-lp153.6.2 | Fast and Beautiful Interactive Visualization for \'Markdown\ |
| R-d3r | 1.1.0-lp153.4.2 | \'d3.js\' Utilities for R |
| R-d3Tree | 0.3.0-lp153.4.2 | Create Interactive Collapsible Trees with the JavaScript \'D |
| R-D4TAlink.light | 2.1.14-lp153.6.2 | FAIR Data - Workflow Management |
| R-DA | 1.2.0-lp153.21.2 | Discriminant Analysis for Evolutionary Inference |
| R-DAAG | 1.20-lp154.1.10 | Data Analysis And Graphics data and functions |
| R-DAAG | 1.20-lp153.1.30 | Data Analysis And Graphics data and functions |
| R-DAAG | 1.25.6-lp153.2.2 | Data Analysis And Graphics data and functions |
| R-daarem | 0.7-lp153.1.10 | Damped Anderson Acceleration with Epsilon Monotonicity for A |
| R-dabestr | 2023.9.12-lp153.2.2 | Data Analysis using Bootstrap-Coupled Estimation |
| R-DACF | 1.0.0-lp153.2.13 | Data Analysis with Ceiling and/or Floor Data |
| R-dad | 4.1.2-lp153.3.4 | Three-Way / Multigroup Data Analysis Through Densities |
| R-dadjoke | 1.0-lp153.2.13 | Displays a Dad Joke |
| R-daewr | 1.2.11-lp153.2.2 | Design and Analysis of Experiments with R |
| R-dafs | 1.0.38-lp153.1.10 | Data Analysis for Forensic Scientists |
| R-dagHMM | 0.1.0-lp153.1.7 | Directed Acyclic Graph HMM with TAN Structured Emissions |
| R-dagirlite | 0.1.0-lp153.6.5 | Spatial Vector Data for Danmarks Administrative Geografiske |
| R-dagR | 1.2.1-lp153.1.8 | Directed Acyclic Graphs: Analysis and Data Simulation |
| R-dail | 1.5.2-lp153.2.2 | Data from Access to Information Law |
| R-DAIME | 2.1.3-lp153.2.13 | Effects of Changing Deposition Rates |
| R-daiquiri | 1.1.1-lp153.5.2 | Data Quality Reporting for Temporal Datasets |
| R-DAKS | 2.1.3-lp153.2.13 | Data Analysis and Knowledge Spaces |
| R-DALEX | 2.4.3-lp153.1.7 | moDel Agnostic Language for Exploration and eXplanation |
| R-DALEXtra | 2.3.0-lp153.1.4 | Extension for \'DALEX\' Package |
| R-dalmatian | 1.0.0-lp153.9.5 | Automating the Fitting of Double Linear Mixed Models in \'JA |
| R-DALSM | 0.9.1-lp153.1.5 | Nonparametric Double Additive Location-Scale Model (DALSM) |
| R-DALY | 1.5.0-lp153.2.13 | The DALY Calculator - Graphical User Interface for Probabili |
| R-dam | 0.0.1-lp153.2.13 | Data Analysis Metabolomics |
| R-damAOI | 0.0-lp153.4.2 | Create an \'Area of Interest\' Around a Constructed Dam for |
| R-DAMisc | 1.7.2-lp153.13.7 | Dave Armstrong\'s Miscellaneous Functions |
| R-DAMOCLES | 2.3-lp153.40.1 | Dynamic Assembly Model of Colonization, Local Extinction and |
| R-DAMOCLES | 2.3-lp155.40.1 | Dynamic Assembly Model of Colonization, Local Extinction and |
| R-DAMOCLES | 2.3-lp154.40.1 | Dynamic Assembly Model of Colonization, Local Extinction and |
| R-damr | 0.3.7-lp153.14.5 | Interface to Drosophila Activity Monitor System Result Files |
| R-dams | 0.3.0-lp153.20.2 | Dams in the United States from the National Inventory of Dam |
| R-DandEFA | 1.6-lp153.4.11 | Dandelion Plot for R-Mode Exploratory Factor Analysis |
| R-dang | 0.0.16-lp153.1.4 | \'Dang\' Associated New Goodies |
| R-dani | 0.1.1-lp153.16.7 | Design and Analysis of Non-Inferiority Trials |
| R-danstat | 0.2.0-lp153.5.5 | R Client for the Statistics Denmark Databank API |
| R-DAP | 1.0-lp153.2.13 | Discriminant Analysis via Projections |
| R-dapr | 0.0.3-lp153.2.13 | \'purrr\'-Like Apply Functions Over Input Elements |
| R-daqapo | 0.3.2-lp153.9.2 | Data Quality Assessment for Process-Oriented Data |
| R-DArand | 0.0.1.2-lp153.1.11 | Differential Analysis with Random Reference Genes |
| R-Dark | 0.9.8-lp153.2.13 | The Analysis of Dark Adaptation Data |
| R-DarkDiv | 0.3.0-lp153.2.13 | Estimating Dark Diversity and Site-Specific Species Pools |
| R-darksky | 1.3.0-lp153.14.7 | Tools to Work with the \'Dark Sky\' \'API\' |
| R-dartR.data | 1.0.8-lp153.1.2 | Auxiliary Data Package for Our Main Package \'dartR\' |
| R-darts | 1.0-lp153.2.13 | Statistical Tools to Analyze Your Darts Game |
| R-dash | 0.9.4-lp153.1.9 | An Interface to the Dash Ecosystem for Authoring Reactive We |
| R-dashboard | 0.1.0-lp153.2.13 | Interactive Data Visualization with D3.js |
| R-dashboardthemes | 1.1.6-lp153.6.2 | Customise the Appearance of \'shinydashboard\' Applications |
| R-dashCoreComponents | 1.10.0-lp153.2.13 | Core Interactive UI Components for \'Dash\' |
| R-dashHtmlComponents | 1.0.3-lp153.2.13 | Vanilla HTML Components for \'Dash\' |
| R-dashPivottable | 0.0.2.1-lp153.2.13 | Interactive React-Based Pivot Tables for Dash |
| R-dashTable | 4.7.0-lp153.2.13 | Core Interactive Table Component for \'dash\' |
| R-Dasst | 0.3.4-lp153.1.10 | Tools for Reading, Processing and Writing \'DSSAT\' Files |
| R-data.table | 1.12.8-1.28 | Extension of `data.frame` |
| R-data.table | 1.12.8-1.36 | Extension of `data.frame` |
| R-data.table | 1.12.8-lp155.1.5 | Extension of `data.frame` |
| R-data.table | 1.12.8-lp153.1.27 | Extension of `data.frame` |
| R-data.table | 1.12.8-lp154.1.10 | Extension of `data.frame` |
| R-data.tree | 1.1.0-lp153.2.2 | General Purpose Hierarchical Data Structure |
| R-data.validator | 0.2.1-lp153.5.2 | Automatic Data Validation and Reporting |
| R-Data2LD | 3.2.1-lp153.14.11 | Functional Data Analysis with Linear Differential Equations |
| R-data360r | 1.0.9-lp153.4.2 | Wrapper for \'TCdata360\' and \'Govdata360\' API |
| R-dataclass | 0.3.0-lp153.1.5 | Easily Create Structured Lists or Data Frames with Input Val |
| R-DataCombine | 0.2.21-lp153.13.7 | Tools for Easily Combining and Cleaning Data Sets |
| R-dataCompareR | 0.1.4-lp153.12.2 | Compare Two Data Frames and Summarise the Difference |
| R-datacutr | 0.1.0-lp153.3.2 | SDTM Datacut |
| R-datadictionary | 1.0.0-lp153.4.2 | Create a Data Dictionary |
| R-datadigest | 1.0.2-lp153.13.9 | Create an Interactive Data Summary |
| R-datadogr | 0.1.2-lp153.20.2 | R Client for \'Datadog\' API |
| R-datadriftR | 0.0.1-lp155.1.1 | Concept Drift Detection Methods for Stream Data |
| R-datadriftR | 0.0.1-lp153.1.2 | Concept Drift Detection Methods for Stream Data |
| R-datadriftR | 0.0.1-lp154.1.1 | Concept Drift Detection Methods for Stream Data |
| R-DataEditR | 0.1.5-lp153.14.2 | An Interactive Editor for Viewing, Entering, Filtering & Edi |
| R-DataExplorer | 0.8.3-lp153.4.2 | Automate Data Exploration and Treatment |
| R-DataFakeR | 0.1.3-lp153.2.4 | Generate Fake Data for Relational Databases |
| R-dataframeexplorer | 1.0.2-lp153.9.2 | Familiarity with Dataframes Before Data Manipulation |
| R-dataframes2xls | 0.4.7-lp153.2.13 | Write Data Frames to Xls Files |
| R-datagovindia | 1.0.5-lp153.9.7 | Data.gov.in API Wrapper |
| R-dataMaid | 1.4.1-lp153.16.2 | A Suite of Checks for Identification of Potential Errors in |
| R-datamap | 0.1.1-lp153.2.13 | A system for mapping foreign objects to R variables and envi |
| R-datamaps | 0.0.3-lp153.1.13 | Create Interactive Web Maps with the \'JavaScript Datamaps\' |
| R-datamart | 0.5.2-lp153.3.12 | Unified access to your data sources |
| R-dataMeta | 0.1.1-lp153.13.7 | Create and Append a Data Dictionary for an R Dataset |
| R-dataMojo | 1.0.0-lp153.1.7 | Reshape Data Table |
| R-datanugget | 1.2.1-lp153.1.5 | Create, and Refine Data Nuggets |
| R-dataonderivatives | 0.4.0-lp153.7.4 | Easily Source Publicly Available Data on Derivatives |
| R-datapasta | 3.1.0-lp153.13.5 | R Tools for Data Copy-Pasta |
| R-dataprep | 0.1.5-lp153.10.2 | Efficient and Flexible Data Preprocessing Tools |
| R-dataPreparation | 1.1.1-lp153.3.2 | Automated Data Preparation |
| R-dataQualityR | 1.0-lp153.2.13 | Performs variable level data quality checks and generates su |
| R-dataReporter | 1.0.2-lp153.16.2 | Reproducible Data Screening Checks and Report of Possible Er |
| R-dataresqc | 1.1.1-lp153.1.5 | C3S Quality Control Tools for Historical Climate Data |
| R-datarium | 0.1.0-lp153.2.13 | Data Bank for Statistical Analysis and Visualization |
| R-datarobot | 2.18.6-lp153.2.2 | \'DataRobot\' Predictive Modeling API |
| R-datasauRus | 0.1.8-lp153.1.3 | Datasets from the Datasaurus Dozen |
| R-dataSDA | 0.1.0-lp153.2.2 | Data Sets for Symbolic Data Analysis |
| R-dataseries | 0.2.0-lp153.2.13 | Switzerland\'s Data Series in One Place |
| R-dataset | 0.3.1-lp153.1.4 | Create Data Frames that are Easier to Exchange and Reuse |
| R-datasets | 4.4.1-194.138 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-50.0.2.1.sr20240605 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-194.138 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-56.163 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-56.163 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-50.1 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-50.1 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-lp153.192.1 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-lp155.192.1 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-192.1 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-50.1 | Package providing R-core datasets in R-datasets |
| R-datasets | 4.4.1-lp154.192.1 | Package providing R-core datasets in R-datasets |
| R-datasets.load | 2.3.0-lp153.5.2 | Graphical Interface for Loading Datasets |
| R-datasetsICR | 1.0-lp153.2.13 | Datasets from the Book \"An Introduction to Clustering with |
| R-DataSetsUni | 0.1-lp153.1.5 | A Collection of Univariate Data Sets |
| R-DataSpaceR | 0.7.6-lp153.2.7 | Interface to \'the CAVD DataSpace\' |
| R-datastepr | 0.0.2-lp153.13.7 | An Implementation of a SAS-Style Data Step |
| R-DatastreamR | 2.0.4-lp153.2.2 | Datastream API |
| R-DATAstudio | 1.1-lp153.6.5 | The Research Data Warehouse of Miguel de Carvalho |
| R-datasus | 0.4.1.1-lp153.1.13 | An Interface to DATASUS System |
| R-dataverifyr | 0.1.8-lp153.1.4 | A Lightweight, Flexible, and Fast Data Validation Package th |
| R-dataverse | 0.3.14-lp153.2.2 | Client for Dataverse 4+ Repositories |
| R-datazoom.amazonia | 1.1.0-lp153.4.2 | Simplify Access to Data from the Amazon Region |
| R-date | 1.2.42-lp153.1.7 | Functions for handling dates |
| R-date | 1.2_34-lp155.2.5 | Functions for handling dates |
| R-date | 1.2_34-2.30 | Functions for handling dates |
| R-date | 1.2_34-2.38 | Functions for handling dates |
| R-date | 1.2_34-lp153.2.24 | Functions for handling dates |
| R-date | 1.2_34-lp154.2.10 | Functions for handling dates |
| R-dateback | 1.0.5-lp153.2.2 | Collect and Install R Packages on a Specified Date with Depe |
| R-datelife | 0.6.8-lp153.7.2 | Scientific Data on Time of Lineage Divergence for Your Taxa |
| R-daterangepicker | 0.2.0-lp153.5.2 | Create a Shiny Date-Range Input |
| R-datetime | 0.1.4-lp153.2.13 | Nominal Dates, Times, and Durations |
| R-datetimeoffset | 0.3.1-lp153.2.5 | Datetimes with Optional UTC Offsets and/or Heterogeneous Tim |
| R-DateTimeRangePicker | 1.1.0-lp153.4.2 | A Datetime Range Picker Widget for Usage in \'Shiny\' Applic |
| R-datetimeutils | 0.6.4-lp153.2.2 | Utilities for Dates and Times |
| R-datetoiso | 0.2.0-lp153.2.2 | Modify Dates to ISO Standard (\"International Organization f |
| R-datoramar | 0.1.0-lp153.11.5 | Interface to the \'Datorama\' API |
| R-datplot | 1.1.1-lp153.1.4 | Preparation of Object Dating Ranges for Density Plots (Aoris |
| R-datrProfile | 0.1.0-lp153.10.4 | Column Profile for Tables and Datasets |
| R-dave | 2.0-lp153.4.7 | Functions for \"Data Analysis in Vegetation Ecology\" |
| R-Davies | 1.2.0-lp153.1.12 | The Davies quantile function |
| R-dawai | 1.2.6-lp153.1.4 | Discriminant Analysis with Additional Information |
| R-daymetr | 1.7.1-lp153.2.4 | Interface to the \'Daymet\' Web Services |
| R-dbacf | 0.2.8-lp153.1.5 | Autocovariance Estimation via Difference-Based Methods |
| R-dbarts | 0.9.28-lp153.2.2 | Discrete Bayesian Additive Regression Trees Sampler |
| R-dbcsp | 0.0.2.1-lp153.10.5 | Distance-Based Common Spatial Patterns |
| R-dbd | 0.0.22-lp153.1.12 | Discretised Beta Distribution |
| R-dbEmpLikeGOF | 1.2.4-lp153.2.13 | Goodness-of-fit and two sample comparison tests using sample |
| R-dbEmpLikeNorm | 1.0.0-lp153.2.13 | Test for joint assessment of normality |
| R-DBERlibR | 0.1.3-lp153.5.5 | Automated Assessment Data Analysis for Discipline-Based Educ |
| R-DBEST | 1.8-lp153.2.13 | Detecting Breakpoints and Estimating Segments in Trend |
| R-DBfit | 2.0-lp153.1.13 | A Double Bootstrap Method for Analyzing Linear Models with A |
| R-dbflobr | 0.2.2-lp153.4.7 | Read and Write Files to SQLite Databases |
| R-dbGaPCheckup | 1.1.0-lp153.6.2 | dbGaP Checkup |
| R-DBGSA | 1.2-lp153.2.13 | methods of distance-based gene set functional enrichment ana |
| R-dbhydroR | 0.2.8-lp153.5.2 | \'DBHYDRO\' Hydrologic and Water Quality Data |
| R-DBI | 1.2.3-lp153.2.2 | R Database Interface |
| R-DBI | 1.0.0-1.30 | R Database Interface |
| R-DBI | 1.0.0-lp155.1.5 | R Database Interface |
| R-DBI | 1.0.0-lp153.1.28 | R Database Interface |
| R-DBI | 1.0.0-1.38 | R Database Interface |
| R-DBI | 1.0.0-lp154.1.10 | R Database Interface |
| R-DBIsqldf | 0.9.9.2-lp153.1.8 | Manipulate R Data Frames Using SQL |
| R-DBItest | 1.5.2-lp153.1.23 | Testing \'DBI\' Back Ends |
| R-DBItest | 1.5.2-1.53 | Testing \'DBI\' Back Ends |
| R-DBItest | 1.5.2-1.24 | Testing \'DBI\' Back Ends |
| R-dblcens | 1.1.9-lp153.1.7 | Compute the NPMLE of Distribution Function from Doubly Censo |
| R-dBlockmodeling | 0.2.3-lp153.1.5 | Deterministic Blockmodeling of Signed, One-Mode and Two-Mode |
| R-dblr | 0.1.0-lp153.5.11 | Discrete Boosting Logistic Regression |
| R-dbMC | 1.0.0-lp153.1.12 | Confidence Interval for Matrix Completion via De-Biased Esti |
| R-DBModelSelect | 0.2.0-lp153.1.5 | Distribution-Based Model Selection |
| R-dbparser | 2.0.3-lp153.2.2 | Drugs Databases Parser |
| R-dbplot | 0.3.3-lp153.17.7 | Simplifies Plotting Data Inside Databases |
| R-dbplyr | 2.5.0-lp153.2.2 | A \'dplyr\' Back End for Databases |
| R-dbplyr | 1.4.4-1.38 | A \'dplyr\' Back End for Databases |
| R-dbplyr | 1.4.4-1.25 | A \'dplyr\' Back End for Databases |
| R-dbplyr | 1.4.4-lp153.1.24 | A \'dplyr\' Back End for Databases |
| R-DBpower | 0.1.0-lp153.7.7 | Finite Sample Power Calculations for Detection Boundary Test |
| R-DBR | 1.4.1-lp153.1.7 | Discrete Beta Regression |
| R-dbstats | 2.0.2-lp153.1.4 | Distance-Based Statistics |
| R-dbWebForms | 0.1.0-lp153.4.2 | Produce R Functions to Create HTML Forms Based on SQL Meta D |
| R-dbx | 0.3.2-lp153.2.2 | A Fast, Easy-to-Use Database Interface |
| R-DCA | 2.0-lp153.3.11 | Dynamic Correlation Analysis for High Dimensional Data |
| R-DCCA | 0.1.1-lp153.2.13 | Detrended Fluctuation and Detrended Cross-Correlation Analys |
| R-dccvalidator | 0.3.0-lp153.17.8 | Metadata Validation for Data Coordinating Centers |
| R-DCG | 0.9.3-lp153.2.13 | Data Cloud Geometry (DCG): Using Random Walks to Find Commun |
| R-DChaos | 0.1.7-lp153.1.5 | Chaotic Time Series Analysis |
| R-dChipIO | 0.1.5-lp153.2.13 | Methods for Reading dChip Files |
| R-dcifer | 1.2.1-lp153.1.4 | Genetic Relatedness Between Polyclonal Infections |
| R-DCL | 0.1.2-lp153.3.7 | Claims Reserving under the Double Chain Ladder Model |
| R-dclust | 0.1.0-lp153.4.7 | Divisive Hierarchical Clustering |
| R-DCluster | 0.2.10-lp153.1.4 | Functions for the Detection of Spatial Clusters of Diseases |
| R-dcminfo | 0.1.7-lp153.3.11 | Information Matrix for Diagnostic Classification Models |
| R-dcmodify | 0.9.0-lp153.2.2 | Modify Data Using Externally Defined Modification Rules |
| R-dcmodifydb | 0.3.1-lp153.5.7 | Modifying Rules on a DataBase |
| R-DCODE | 1.0-lp153.7.7 | List Linear n-Peptide Constraints for Overlapping Protein Re |
| R-dCovTS | 1.1-lp153.3.13 | Distance Covariance and Correlation for Time Series Analysis |
| R-dcTensor | 1.3.0-lp153.2.2 | Discrete Matrix/Tensor Decomposition |
| R-dCUR | 1.0.1-lp153.1.5 | Dimension Reduction with Dynamic CUR |
| R-dcv | 0.1.1-lp153.2.13 | Conventional Cross-validation statistics for climate-growth |
| R-dde | 1.0.5-lp153.1.4 | Solve Delay Differential Equations |
| R-ddi | 0.1.0-lp153.2.13 | The Data Defect Index for Samples that May not be IID |
| R-ddiv | 0.1.0-lp153.2.13 | Data Driven I-v Feature Extraction |
| R-DDIwR | 0.18-lp153.1.4 | DDI with R |
| R-DDL | 1.0.2-lp153.1.5 | Doubly Debiased Lasso (DDL) |
| R-DDM | 1.0.0-lp153.2.13 | Death Registration Coverage Estimation |
| R-ddp | 0.0.3-lp153.1.12 | Desirable Dietary Pattern |
| R-ddpca | 1.1-lp153.5.7 | Diagonally Dominant Principal Component Analysis |
| R-ddpcr | 1.15.2-lp153.4.3 | Analysis and Visualization of Droplet Digital PCR in R and o |
| R-ddplot | 0.0.1-lp153.13.2 | Create D3 Based SVG Graphics |
| R-DDPM | 0.1.0-lp153.1.5 | Data Sets for Discrete Probability Models |
| R-ddst | 1.4-lp153.2.13 | Data Driven Smooth Tests |
| R-deadband | 0.1.0-lp153.2.13 | Statistical Deadband Algorithms Comparison |
| R-deal | 1.2.42-lp153.1.7 | Learning Bayesian Networks with Mixed Variables |
| R-deamer | 1.0-lp153.2.13 | Deconvolution density estimation with adaptive methods for a |
| R-deaR | 1.4.1-lp153.7.2 | Conventional and Fuzzy Data Envelopment Analysis |
| R-debar | 0.1.1-lp153.1.4 | A Post-Clustering Denoiser for COI-5P Barcode Data |
| R-DEBBI | 0.1.0-lp153.1.9 | Differential Evolution-Based Bayesian Inference |
| R-deBif | 0.1.8-lp153.3.2 | Bifurcation Analysis of Ordinary Differential Equation Syste |
| R-deBInfer | 0.4.4-lp153.2.7 | Bayesian Inference for Differential Equations |
| R-debkeepr | 0.1.1-lp153.1.5 | Analysis of Non-Decimal Currencies and Double-Entry Bookkeep |
| R-DeBoinR | 1.0-lp153.1.4 | Box-Plots and Outlier Detection for Probability Density Func |
| R-debugme | 1.1.0-lp154.2.10 | Debug R Packages |
| R-debugme | 1.1.0-lp155.2.5 | Debug R Packages |
| R-debugme | 1.1.0-2.25 | Debug R Packages |
| R-debugme | 1.1.0-2.39 | Debug R Packages |
| R-debugme | 1.2.0-lp153.2.2 | Debug R Packages |
| R-debugme | 1.1.0-lp153.2.23 | Debug R Packages |
| R-debugr | 0.0.1-lp153.3.13 | Debug Tool to Watch Objects/Expressions While Running an R S |
| R-DECIDE | 1.3-lp153.1.9 | DEComposition of Indirect and Direct Effects |
| R-decision | 0.1.0-lp153.2.13 | Statistical Decision Analysis |
| R-deckgl | 0.3.0-lp153.7.2 | An R Interface to \'deck.gl\' |
| R-DeclareDesign | 1.0.10-lp153.2.2 | Declare and Diagnose Research Designs |
| R-decode | 1.2-lp153.2.13 | Differential Co-Expression and Differential Expression Analy |
| R-decoder | 1.2.2-lp153.2.13 | Decode Coded Variables to Plain Text and the Other Way Aroun |
| R-decomposedPSF | 0.2-lp153.2.5 | Time Series Prediction with PSF and Decomposition Methods (E |
| R-DecomposeR | 1.0.6-lp153.5.2 | Empirical Mode Decomposition for Cyclostratigraphy |
| R-decompr | 6.4.0-lp153.1.9 | Global Value Chain Decomposition |
| R-decon | 1.3.4-lp153.1.12 | Deconvolution Estimation in Measurement Error Models |
| R-deconvolveR | 1.2.1-lp153.2.13 | Empirical Bayes Estimation Strategies |
| R-decor | 1.0.2-lp153.1.5 | Retrieve Code Decorations |
| R-decorators | 0.3.0-lp153.3.7 | Extend the Behaviour of a Function without Explicitly Modify |
| R-deducorrect | 1.3.7-lp153.8.4 | Deductive Correction, Deductive Imputation, and Deterministi |
| R-deductive | 1.0.0-lp153.1.12 | Data Correction and Imputation Using Deductive Methods |
| R-DeductiveR | 1.0.0-lp153.10.2 | Deductive Rational Method |
| R-deduped | 0.2.0-lp153.1.4 | Making \"Deduplicated\" Functions |
| R-dedupewider | 0.1.0-lp153.1.12 | Deduplication Across Multiple Columns |
| R-deep | 0.1.0-lp153.2.13 | A Neural Networks Framework |
| R-deepdep | 0.4.3-lp153.2.2 | Visualise and Explore the Deep Dependencies of R Packages |
| R-deepdive | 1.0.4-lp153.7.2 | Deep Learning for General Purpose |
| R-deepgmm | 0.2.1-lp153.1.7 | Deep Gaussian Mixture Models |
| R-deeplr | 2.0.1-lp153.2.2 | Interface to the \'DeepL\' Translation API |
| R-deepnet | 0.2.1-lp153.1.8 | Deep Learning Toolkit in R |
| R-deepNN | 1.2-lp153.1.5 | Deep Learning |
| R-DEEPR | 0.1-lp153.2.13 | Dirichlet-multinomial Evolutionary Event Profile Randomizati |
| R-deepregression | 1.0.0-lp153.2.7 | Fitting Deep Distributional Regression |
| R-deepRstudio | 0.0.9-lp153.1.5 | Seamless Language Translation in \'RStudio\' using \'DeepL\' |
| R-DEEVD | 1.2.3-lp153.1.11 | Density Estimation by Extreme Value Distributions |
| R-default | 1.0.0-lp153.2.13 | Change the Default Arguments in R Functions |
| R-define | 0.2.9-lp153.10.11 | Create FDA-Style Data and Program Definitions |
| R-defineOptions | 0.9-lp153.1.4 | Define and Parse Command Line Options |
| R-deFit | 0.2.1-lp153.1.5 | Fitting Differential Equations to Time Series Data |
| R-deflateBR | 1.1.2-lp153.17.7 | Deflate Nominal Brazilian Reais |
| R-deflist | 0.2.0-lp153.1.5 | Deferred List - A Read-Only List-Like Object with Deferred A |
| R-degday | 0.4.0-lp153.1.8 | Compute Degree Days |
| R-deGradInfer | 1.0.1-lp153.3.11 | Parameter Inference for Systems of Differential Equation |
| R-degreenet | 1.3.5-lp153.2.4 | Models for Skewed Count Distributions Relevant to Networks |
| R-degross | 0.9.0-lp153.1.12 | Density Estimation from GROuped Summary Statistics |
| R-delayed | 0.5.0-lp153.2.2 | A Framework for Parallelizing Dependent Tasks |
| R-DelayedEffect.Design | 1.1.3-lp153.1.5 | Sample Size and Power Calculations using the APPLE, SEPPLE, |
| R-deldir | 0.1.14-lp153.2.24 | Delaunay Triangulation and Dirichlet (Voronoi) Tessellation |
| R-deldir | 0.1.14-lp154.2.10 | Delaunay Triangulation and Dirichlet (Voronoi) Tessellation |
| R-deldir | 0.1.14-lp155.2.5 | Delaunay Triangulation and Dirichlet (Voronoi) Tessellation |
| R-deldir | 2.0.4-lp153.1.3 | Delaunay Triangulation and Dirichlet (Voronoi) Tessellation |
| R-deldir | 0.1.14-2.34 | Delaunay Triangulation and Dirichlet (Voronoi) Tessellation |
| R-deldir | 0.1.14-2.39 | Delaunay Triangulation and Dirichlet (Voronoi) Tessellation |
| R-delt | 0.8.2-lp153.2.13 | Estimation of Multivariate Densities Using Adaptive Partitio |
| R-Delta | 0.2.0.3-lp153.2.13 | Measure of Agreement Between Two Raters |
| R-deltaccd | 1.0.2-lp153.6.5 | Quantify Rhythmic Gene Co-Expression Relative to a Reference |
| R-DeltaMAN | 0.5.0-lp153.11.2 | Delta Measurement of Agreement for Nominal Data |
| R-deltaPlotR | 1.6-lp153.2.13 | Identification of Dichotomous Differential Item Functioning |
| R-deltar | 1.0.0-lp153.12.11 | Calculation of Delta R Values |
| R-DELTD | 2.6.8-lp153.1.8 | Kernel Density Estimation using Lifetime Distributions |
| R-DEM | 0.0.0.2-lp153.1.9 | The Distributed EM Algorithms in Multivariate Gaussian Mixtu |
| R-dematel | 0.1.0-lp153.13.5 | Decision Making Trial and Evaluation Laboratory Technique in |
| R-demcon | 0.4.0-lp153.1.5 | Interfacing with Popular Polity, Institutional, and Constitu |
| R-Demerelate | 0.9.3-lp153.12.11 | Functions to Calculate Relatedness on Diploid Genetic Data |
| R-demogR | 0.6.0-lp153.2.13 | Analysis of age-structured demographic models |
| R-DemografixeR | 0.1.1-lp153.2.12 | Extrapolate Gender, Age and Nationality of a Name |
| R-demoKde | 1.0.1-lp153.1.5 | Kernel Density Estimation for Demonstration Purposes |
| R-DemoKin | 1.0.3-lp153.3.4 | Estimate Population Kin Distribution |
| R-demoShiny | 0.1-lp153.13.2 | Runs a \'Shiny\' App as Demo or Lists All Demo \'Shiny\' App |
| R-DEMOVA | 1.0-lp153.2.13 | DEvelopment (of Multi-Linear QSPR/QSAR) MOdels VAlidated usi |
| R-dendextend | 1.13.4-1.27 | Extending \'dendrogram\' Functionality in R |
| R-dendextend | 1.13.4-lp153.1.24 | Extending \'dendrogram\' Functionality in R |
| R-dendextend | 1.13.4-1.33 | Extending \'dendrogram\' Functionality in R |
| R-dendroextras | 0.2.3-lp153.2.13 | Extra Functions to Cut, Label and Colour Dendrogram Clusters |
| R-dendrometry | 0.0.2-lp153.1.7 | Forest Estimations and Dendrometric Computations |
| R-DendroSync | 0.1.4-lp153.6.5 | A Set of Tools for Calculating Spatial Synchrony Between Tre |
| R-DendSer | 1.0.2-lp153.3.5 | Dendrogram Seriation: Ordering for Visualisation |
| R-dendsort | 0.3.4-lp153.1.13 | Modular Leaf Ordering Methods for Dendrogram Nodes |
| R-denguedatahub | 1.0.4-lp153.1.5 | A Tidy Format Datasets of Dengue by Country |
| R-DengueRT | 1.0.1-lp153.12.12 | Parameter Estimates and Real-Time Prediction of a Single Den |
| R-denoiSeq | 0.1.1-lp153.2.13 | Differential Expression Analysis Using a Bottom-Up Model |
| R-denovolyzeR | 0.2.0-lp153.15.2 | Statistical Analyses of De Novo Genetic Variants |
| R-denpro | 0.9.2-lp153.2.13 | Visualization of Multivariate Functions, Sets, and Data |
| R-denseFLMM | 0.1.2-lp153.2.13 | Functional Linear Mixed Models for Densely Sampled Data |
| R-densitr | 0.2-lp153.1.10 | Analysing Density Profiles from Resistance Drilling of Trees |
| R-Density.T.HoldOut | 2.00-lp153.2.13 | Density.T.HoldOut: Non-combinatorial T-estimation Hold-Out f |
| R-DensParcorr | 1.1-lp153.3.12 | Dens-Based Method for Partial Correlation Estimation in Larg |
| R-densratio | 0.2.1-lp153.2.13 | Density Ratio Estimation |
| R-denstrip | 1.5.4-lp153.3.13 | Density Strips and Other Methods for Compactly Illustrating |
| R-denvax | 0.1.2-lp153.2.13 | Simple Dengue Test and Vaccinate Cost Thresholds |
| R-DEoptim | 2.2.8-lp153.1.7 | Global Optimization by Differential Evolution |
| R-DEoptimR | 1.0_1-lp155.2.5 | Differential Evolution Optimization in pure R |
| R-DEoptimR | 1.1.3-lp153.1.5 | Differential Evolution Optimization in pure R |
| R-DEoptimR | 1.0_1-lp153.2.26 | Differential Evolution Optimization in pure R |
| R-DEoptimR | 1.0_1-2.28 | Differential Evolution Optimization in pure R |
| R-DEoptimR | 1.0_1-lp154.2.10 | Differential Evolution Optimization in pure R |
| R-DEoptimR | 1.0_1-2.38 | Differential Evolution Optimization in pure R |
| R-depcache | 0.1.2-lp153.1.9 | Cache R Expressions, Taking Their Dependencies into Account |
| R-DepCens | 0.2.3-lp153.1.5 | Dependent Censoring Regression Models |
| R-depend.truncation | 3.0-lp153.2.13 | Statistical Methods for the Analysis of Dependently Truncate |
| R-DependencyReviewer | 1.2.3-lp153.1.5 | Tool Suite to Investigate Other Packages |
| R-depigner | 0.9.1-lp153.8.2 | A Utility Package to Help you Deal with \"Pignas\" |
| R-DepLogo | 1.2.1-lp153.1.4 | Dependency Logo |
| R-depmix | 0.9.16-lp153.2.13 | Dependent Mixture Models |
| R-depmixS4 | 1.5.0-lp153.1.12 | Dependent Mixture Models - Hidden Markov Models of GLMs and |
| R-depth | 2.1.1.1-lp153.16.7 | Nonparametric Depth Functions for Multivariate Analysis |
| R-depth.plot | 0.1-lp153.2.13 | Multivariate Analogy of Quantiles |
| R-depthTools | 0.4-lp154.1.10 | Depth Tools Package |
| R-depthTools | 0.4-1.26 | Depth Tools Package |
| R-depthTools | 0.4-lp155.1.5 | Depth Tools Package |
| R-depthTools | 0.7-lp153.1.12 | Depth Tools Package |
| R-depthTools | 0.4-1.38 | Depth Tools Package |
| R-depthTools | 0.4-lp153.1.24 | Depth Tools Package |
| R-dequer | 2.0.2-lp153.1.10 | Stacks, Queues, and \'Deques\' for R |
| R-DeRezende.Ferreira | 0.1.0-lp153.2.13 | Zero Coupon Yield Curve Modelling |
| R-derivmkts | 0.2.5-lp153.2.9 | Functions and R Code to Accompany Derivatives Markets |
| R-DES | 1.0.0-lp153.2.13 | Discrete Event Simulation |
| R-desc | 1.2.0-lp153.1.25 | Manipulate DESCRIPTION Files |
| R-desc | 1.2.0-1.29 | Manipulate DESCRIPTION Files |
| R-desc | 1.4.3-lp153.1.4 | Manipulate DESCRIPTION Files |
| R-desc | 1.2.0-1.80 | Manipulate DESCRIPTION Files |
| R-descomponer | 1.6-lp153.1.12 | Seasonal Adjustment by Frequency Analysis |
| R-descr | 1.0.3-2.38 | Descriptive statistics |
| R-descr | 1.1.8-lp153.1.4 | Descriptive statistics |
| R-descr | 1.0.3-2.29 | Descriptive statistics |
| R-descr | 1.0.3-lp154.2.10 | Descriptive statistics |
| R-descr | 1.0.3-lp155.2.5 | Descriptive statistics |
| R-descr | 1.0.3-lp153.2.23 | Descriptive statistics |
| R-describedata | 0.1.0-lp153.19.2 | Miscellaneous Descriptive Functions |
| R-describer | 0.2.0-lp153.2.13 | Describe Data in R Using Common Descriptive Statistics |
| R-descriptio | 1.3-lp153.2.2 | Descriptive Statistical Analysis |
| R-DescriptiveRepresentationCalculator | 1.0.0-lp153.1.5 | Descriptive Representation Calculator: Characterizing Observ |
| R-DescriptiveStats.OBeu | 1.3.2-lp153.13.7 | Descriptive Statistics \'OpenBudgets.eu\' |
| R-DescriptiveWH | 1.0.3-lp153.1.12 | Descriptive statistics |
| R-descriptr | 0.5.2-lp153.17.2 | Generate Descriptive Statistics |
| R-descstat | 0.1.2-lp153.14.2 | Tools for descriptive statistics |
| R-descstatsr | 0.1.0-lp153.2.13 | Descriptive Univariate Statistics |
| R-desctable | 0.3.0-lp153.16.2 | Produce Descriptive and Comparative Tables Easily |
| R-deseasonalize | 1.35-lp153.3.11 | Optimal deseasonalization for geophysical time series using |
| R-Design.parameters | 0.1.0-lp153.1.8 | Parameters of the Experimental Designs |
| R-DesignCTPB | 1.1.3-lp153.20.2 | Design Clinical Trials with Potential Biomarker Effect |
| R-designGG | 1.1-lp153.2.13 | Computational tool for designing genetical genomics experime |
| R-designit | 0.5.0-lp153.2.2 | Blocking and Randomization for Experimental Design |
| R-DesignLibrary | 0.1.10-lp153.2.7 | Library of Research Designs |
| R-designmatch | 0.4.1-lp153.1.8 | Matched Samples that are Balanced and Representative by Desi |
| R-designsize | 0.1.0-lp153.1.12 | Sample Size Calculation of Various Study Designs |
| R-desiR | 1.2.2-lp153.1.13 | Desirability Functions for Ranking, Selecting, and Integrati |
| R-desirability | 1.6-lp153.1.23 | Desirabiliy Function Optimization and Ranking |
| R-desirability | 1.6-1.38 | Desirabiliy Function Optimization and Ranking |
| R-desirability | 1.6-1.25 | Desirabiliy Function Optimization and Ranking |
| R-desirability | 2.1-lp153.2.13 | Function Optimization and Ranking via Desirability Functions |
| R-desirability | 1.6-lp154.1.10 | Desirabiliy Function Optimization and Ranking |
| R-desirability | 1.6-lp155.1.5 | Desirabiliy Function Optimization and Ranking |
| R-desirability2 | 0.0.1-lp153.1.5 | Desirability Functions for Multiparameter Optimization |
| R-desire | 1.0.7-lp153.2.13 | Desirability functions in R |
| R-desk | 1.1.1-lp153.1.4 | Didactic Econometrics Starter Kit |
| R-DESnowball | 1.0-lp153.2.13 | Bagging with Distance-based Regression for Differential Gene |
| R-deSolve | 1.40-lp153.1.4 | Solvers for Initial Value Problems of Differential Equations |
| R-deSolve-devel | 1.40-lp153.1.4 | Development files for deSolve |
| R-desplot | 1.10-lp153.2.2 | Plotting Field Plans for Agricultural Experiments |
| R-DET | 3.0.1-lp153.1.13 | Representation of DET Curve with Confidence Intervals |
| R-details | 0.3.0-lp153.10.2 | Create Details HTML Tag for Markdown and Package Documentati |
| R-detect | 0.4.6-lp153.1.5 | Analyzing Wildlife Data with Detection Error |
| R-detector | 0.1.0-lp153.7.2 | Detect Data Containing Personally Identifiable Information |
| R-detectors | 0.1.0-lp153.1.4 | Prediction Data from GPT Detectors |
| R-detectR | 0.3.0-lp153.2.2 | Change Point Detection |
| R-deTestSet | 1.1.7.4-lp153.1.5 | Test Set for Differential Equations |
| R-DetLifeInsurance | 0.1.3-lp153.2.13 | Life Insurance Premium and Reserves Valuation |
| R-detourr | 0.1.0-lp153.16.2 | Portable and Performant Tour Animations |
| R-detpack | 1.1.3-lp153.2.13 | Density Estimation and Random Number Generation with Distrib |
| R-detrendeR | 1.0.5-lp153.4.2 | A Graphical User Interface (GUI) to Visualize and Analyze De |
| R-deTS | 1.0-lp153.6.5 | Tissue-Specific Enrichment Analysis |
| R-DetSel | 1.0.4-lp153.2.13 | A Computer Program to Detect Markers Responding to Selection |
| R-detzrcr | 0.3.1-lp153.24.2 | Compare Detrital Zircon Suites |
| R-devFunc | 0.1-lp153.7.2 | Clear and Condense Argument Check for User-Defined Functions |
| R-devoid | 0.1.2-lp153.1.5 | A Graphic Device that Does Nothing |
| R-Devore7 | 0.7.6-lp153.2.13 | Data sets from Devore\'s \"Prob and Stat for Eng (7th ed)\" |
| R-devRate | 0.2.4-lp153.1.5 | Quantify the Relationship Between Development Rate and Tempe |
| R-devtoolbox | 0.2.0-lp153.3.8 | Tools for the R Developer |
| R-DevTreatRules | 1.1.0-lp153.4.7 | Develop Treatment Rules with Observational Data |
| R-dextergui | 0.2.6-lp153.7.2 | A Graphical User Interface for Dexter |
| R-df2yaml | 0.3.1-lp153.2.7 | Convert Dataframe to \'YAML\' |
| R-DFA | 1.0.0-lp153.1.4 | Detrended Fluctuation Analysis |
| R-dfadjust | 1.0.5-lp153.1.5 | Degrees of Freedom Adjustment for Robust Standard Errors |
| R-DFBA | 0.1.0-lp153.1.4 | Distribution-Free Bayesian Analysis |
| R-dfCompare | 1.0.0-lp153.2.13 | Compare Two Dataframes and Return Adds, Changes, and Deletes |
| R-dfcrm | 0.2.2.1-lp153.2.13 | Dose-Finding by the Continual Reassessment Method |
| R-dfdr | 0.2.0-lp153.2.2 | Automatic Differentiation of Simple Functions |
| R-dfexpand | 0.0.2-lp153.2.2 | Automatically Expand Delimited Column Values into Multiple B |
| R-dfexplore | 0.2.1-lp153.9.11 | Explore data.frames by plotting NA and classes of each varia |
| R-dfoptim | 2023.1.0-lp153.1.5 | Derivative-Free Optimization |
| R-Dforest | 0.4.2-lp153.14.5 | Decision Forest |
| R-dformula | 1.0-lp153.1.4 | Data Manipulation using Formula |
| R-dfrr | 0.1.5-lp153.4.3 | Dichotomized Functional Response Regression |
| R-dfsaneacc | 1.0.3-lp153.2.2 | Accelerated Derivative-Free Method for Large-Scale Nonlinear |
| R-dfvad | 0.3.6-lp153.1.12 | Diewert and Fox\'s Method of Value Added Growth Decompositio |
| R-DGEobj | 1.1.2-lp153.4.2 | Differential Gene Expression (DGE) Analysis Results Data Obj |
| R-DGEobj.utils | 1.0.6-lp153.8.2 | Differential Gene Expression (DGE) Analysis Utility Toolkit |
| R-dglars | 2.1.7-lp153.1.5 | Differential Geometric Least Angle Regression |
| R-dglm | 1.8.6-lp153.1.4 | Double Generalized Linear Models |
| R-dgmb | 1.2-lp153.2.13 | Simulating Data for PLS Mode B Structural Models |
| R-dgodata | 0.0.2-lp153.2.13 | Data for the \'dgo\' Package |
| R-dgpsi | 2.4.0-lp153.3.2 | Interface to \'dgpsi\' for Deep and Linked Gaussian Process |
| R-DGVM3D | 1.0.0-lp153.7.12 | 3D Forest Simulation Visualization Tool |
| R-DHARMa | 0.2.0-lp153.1.29 | Residual Diagnostics for Hierarchical (Multi-Level / Mixed) |
| R-DHARMa | 0.2.0-lp154.1.10 | Residual Diagnostics for Hierarchical (Multi-Level / Mixed) |
| R-DHBins | 1.1-lp153.14.5 | Hexmaps for NZ District Health Boards |
| R-dhga | 0.1-lp153.2.13 | Differential Hub Gene Analysis |
| R-dhh | 0.0.1-lp153.2.13 | A Heavy-Headed Distribution |
| R-dhis2r | 0.1.1-lp153.1.7 | Client for the \'DHIS2\' Web API |
| R-dhReg | 0.1.1-lp153.10.7 | Dynamic Harmonic Regression |
| R-DHS.rates | 0.9.2-lp153.3.2 | Calculates Demographic Indicators |
| R-dhsage | 0.1.0-lp153.1.5 | Reproductive Age Female Data of Various Demographic Health S |
| R-di | 1.1.4-lp153.7.4 | Deficit Index (DI) |
| R-diagL1 | 1.0.0-lp153.1.4 | Routines for Fit, Inference and Diagnostics in Linear L1 and |
| R-diagonals | 6.4.0-lp153.1.9 | Block Diagonal Extraction or Replacement |
| R-diagram | 1.6.5-lp153.2.13 | Functions for visualising simple graphs (networks), plotting |
| R-diagram | 1.6.3-lp155.1.5 | Functions for visualising simple graphs (networks), plotting |
| R-diagram | 1.6.3-lp154.1.10 | Functions for visualising simple graphs (networks), plotting |
| R-diagram | 1.6.3-1.38 | Functions for visualising simple graphs (networks), plotting |
| R-diagram | 1.6.3-lp153.1.23 | Functions for visualising simple graphs (networks), plotting |
| R-diagram | 1.6.3-1.24 | Functions for visualising simple graphs (networks), plotting |
| R-DiagrammeR | 1.0.11-lp153.4.2 | Graph/Network Visualization |
| R-diaplt | 1.4.0-lp153.1.10 | Beads Summary Plot of Ranges |
| R-dice | 1.2-lp153.2.13 | Calculate probabilities of various dice-rolling events |
| R-DiceDesign | 1.6-lp153.2.25 | Designs of Computer Experiments |
| R-DiceDesign | 1.6-2.38 | Designs of Computer Experiments |
| R-DiceDesign | 1.6-lp155.2.5 | Designs of Computer Experiments |
| R-DiceDesign | 1.10-lp153.1.4 | Designs of Computer Experiments |
| R-DiceDesign | 1.6-lp154.2.10 | Designs of Computer Experiments |
| R-DiceDesign | 1.6-2.32 | Designs of Computer Experiments |
| R-DiceEval | 1.6.1-lp153.1.4 | Construction and Evaluation of Metamodels |
| R-DiceKriging | 1.6.0-lp153.1.13 | Kriging Methods for Computer Experiments |
| R-DiceOptim | 2.1.1-lp153.2.9 | Kriging-Based Optimization for Computer Experiments |
| R-DiceView | 2.2.0-lp153.1.4 | Methods for Visualization of Computer Experiments Design and |
| R-dichromat | 2.0.0.1-lp153.1.9 | Color schemes for dichromats |
| R-dichromat | 2.0_0-1.38 | Color schemes for dichromats |
| R-dichromat | 2.0_0-lp153.1.23 | Color schemes for dichromats |
| R-dichromat | 2.0_0-lp154.1.10 | Color schemes for dichromats |
| R-dichromat | 2.0_0-1.25 | Color schemes for dichromats |
| R-dichromat | 2.0_0-lp155.1.5 | Color schemes for dichromats |
| R-dicionariosIBGE | 1.6-lp153.2.13 | Dictionaries for reading microdata surveys from IBGE |
| R-DICOMread | 0.0.0.3-lp153.5.2 | Reading and Saving DICOM Image Files |
| R-DIconvex | 1.0.0-lp153.3.7 | Finding Patterns of Monotonicity and Convexity in Data |
| R-Dict | 0.1.0-lp153.14.7 | R6 Based Key-Value Dictionary Implementation |
| R-dictionar6 | 0.1.3-lp153.1.12 | R6 Dictionary Interface |
| R-dictionaRy | 0.1.1-lp153.5.5 | Retrieve the Dictionary Definitions of English Words |
| R-DidacticBoost | 0.1.1-lp153.2.13 | A Simple Implementation and Demonstration of Gradient Boosti |
| R-Diderot | 0.13-lp153.8.4 | Bibliographic Network Analysis |
| R-DiDforBigData | 1.0-lp153.1.5 | A Big Data Implementation of Difference-in-Differences Estim |
| R-DIDmultiplegt | 0.1.4-lp153.1.2 | Estimation in DID with Multiple Groups and Periods |
| R-didrooRFM | 1.0.0-lp153.13.7 | Compute Recency Frequency Monetary Scores for your Customer |
| R-dief | 1.2-lp153.14.7 | Metrics for Continuous Efficiency |
| R-dielectric | 0.2.3-lp153.2.13 | Defines some physical constants and dielectric functions com |
| R-diemr | 1.1.1-lp153.1.7 | Diagnostic Index Expectation Maximisation in R |
| R-diezeit | 0.1.0-lp153.2.12 | R Interface to the ZEIT ONLINE Content API |
| R-DIFboost | 0.3-lp153.3.7 | Detection of Differential Item Functioning (DIF) in Rasch Mo |
| R-difconet | 1.0.4-lp153.7.2 | Differential Coexpressed Networks |
| R-diffdepprop | 0.1.9-lp153.2.13 | Calculates Confidence Intervals for two Dependent Proportion |
| R-diffdf | 1.0.4-lp153.11.5 | Dataframe Difference Tool |
| R-diffdfs | 0.9.0-lp153.1.2 | Compute the Difference Between Data Frames |
| R-diffee | 1.1.0-lp153.7.4 | Fast and Scalable Learning of Sparse Changes in High-Dimensi |
| R-diffEnrich | 0.1.2-lp153.8.2 | Given a List of Gene Symbols, Performs Differential Enrichme |
| R-diffeqr | 2.0.1-lp153.2.2 | Solving Differential Equations (ODEs, SDEs, DDEs, DAEs) |
| R-diffeR | 0.0.8-lp153.2.4 | Metrics of Difference for Comparing Pairs of Maps or Pairs o |
| R-diffIRT | 1.5-lp153.2.13 | Diffusion IRT Models for Response and Response Time Data |
| R-diffMeshGP | 0.1.0-lp153.2.13 | Multi-Fidelity Computer Experiments Using the Tuo-Wu-Yu Mode |
| R-DiffNet | 1.0.2-lp153.2.4 | Identifying Significant Node Scores using Network Diffusion |
| R-diffobj | 0.2.3-lp154.2.10 | Diffs for R Objects |
| R-diffobj | 0.3.5-lp153.1.12 | Diffs for R Objects |
| R-diffobj | 0.2.3-2.33 | Diffs for R Objects |
| R-diffobj | 0.2.3-lp155.2.5 | Diffs for R Objects |
| R-diffobj | 0.2.3-2.29 | Diffs for R Objects |
| R-diffobj | 0.2.3-lp153.2.24 | Diffs for R Objects |
| R-diffpriv | 0.4.2-lp153.2.13 | Easy Differential Privacy |
| R-diffr | 0.1-lp153.15.2 | Display Differences Between Two Files using Codediff Library |
| R-diffrprojectswidget | 0.1.5-lp153.3.13 | Visualization for \'diffrprojects\' |
| R-diffusionMap | 1.2.0-lp153.7.4 | Diffusion Map |
| R-diffval | 1.1.0-lp153.1.5 | Vegetation Patterns |
| R-diffviewer | 0.1.2-lp153.1.2 | HTML Widget to Show File Differences |
| R-DiffXTables | 0.1.3-lp153.2.7 | Pattern Analysis Across Contingency Tables |
| R-DIFlasso | 1.0.4-lp153.3.7 | A Penalty Approach to Differential Item Functioning in Rasch |
| R-DIFtree | 3.1.6-lp153.3.7 | Item Focussed Trees for the Identification of Items in Diffe |
| R-digest | 0.6.27-lp154.1.10 | R package to create compact hash digests of R objects |
| R-digest | 0.6.27-lp153.1.28 | R package to create compact hash digests of R objects |
| R-digest | 0.6.27-1.23 | R package to create compact hash digests of R objects |
| R-digest | 0.6.27-lp155.1.5 | R package to create compact hash digests of R objects |
| R-digest | 0.6.27-1.36 | R package to create compact hash digests of R objects |
| R-digest-devel | 0.6.27-lp153.1.28 | Include files for R-digest |
| R-digest-devel | 0.6.27-1.36 | Include files for R-digest |
| R-digest-devel | 0.6.27-1.23 | Include files for R-digest |
| R-digest-devel | 0.6.27-lp155.1.5 | Include files for R-digest |
| R-digest-devel | 0.6.27-lp154.1.10 | Include files for R-digest |
| R-digitalPCR | 1.1.0-lp153.2.13 | Estimate Copy Number for Digital PCR |
| R-digitTests | 0.1.2-lp153.1.9 | Tests for Detecting Irregular Digit Patterns |
| R-DIGSS | 1.0.2-lp153.7.5 | Determination of Intervals Using Georeferenced Survey Simula |
| R-dilp | 1.1.0-lp153.2.2 | Reconstruct Paleoclimate and Paleoecology with Leaf Physiogn |
| R-DIME | 1.3.0-lp153.1.9 | Differential Identification using Mixture Ensemble |
| R-dimensionalAnalysis | 0.1.0-lp153.5.5 | Dimensional Analysis |
| R-dimensionsR | 0.0.3-lp153.1.11 | Gathering Bibliographic Records from \'Digital Science Dimen |
| R-DImodels | 1.3.2-lp153.1.3 | Diversity-Interactions (DI) Models |
| R-DImodelsMulti | 1.1.1-lp153.2.2 | Fit Multivariate Diversity-Interactions Models with Repeated |
| R-dimRed | 0.2.6-lp153.1.8 | A Framework for Dimensionality Reduction |
| R-dinamic | 1.0.1-lp153.2.2 | A Method to Analyze Recurrent DNA Copy Number Aberrations in |
| R-dineq | 0.1.0-lp153.28.2 | Decomposition of (Income) Inequality |
| R-dineR | 1.0.1-lp153.5.4 | Differential Network Estimation in R |
| R-dint | 2.1.4-lp153.1.8 | A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Date |
| R-DiPhiSeq | 0.2.0-lp153.2.13 | Robust Tests for Differential Dispersion and Differential Ex |
| R-dipm | 1.9-lp153.3.5 | Depth Importance in Precision Medicine (DIPM) Method |
| R-diproperm | 0.2.0-lp153.14.2 | Conduct Direction-Projection-Permutation Tests and Display P |
| R-DiPs | 0.6.4-lp153.2.7 | Directional Penalties for Optimal Matching in Observational |
| R-diptest | 0.75_5-3.31 | Hartigan\'s dip test statistic for unimodality - corrected c |
| R-diptest | 0.77.1-lp153.2.2 | Hartigan\'s Dip Test Statistic for Unimodality - Corrected |
| R-diptest | 0.75_5-3.38 | Hartigan\'s dip test statistic for unimodality - corrected c |
| R-diptest | 0.75_5-lp153.3.24 | Hartigan\'s dip test statistic for unimodality - corrected c |
| R-diptest | 0.75_5-lp154.3.10 | Hartigan\'s dip test statistic for unimodality - corrected c |
| R-diptest | 0.75_5-lp155.3.5 | Hartigan\'s dip test statistic for unimodality - corrected c |
| R-dipw | 0.1.0-lp153.4.7 | Debiased Inverse Propensity Score Weighting |
| R-DIRECT | 1.1.0-lp153.1.5 | Bayesian Clustering of Multivariate Data Under the Dirichlet |
| R-DirectedClustering | 0.1.1-lp153.7.4 | Directed Weighted Clustering Coefficient |
| R-directlabels | 2024.1.21-lp153.1.4 | Direct Labels for Multicolor Plots |
| R-directotree | 1.0.0-lp153.17.2 | Creates an Interactive Tree Structure of a Directory |
| R-directPA | 1.5.1-lp153.5.2 | Direction Analysis for Pathways and Kinases |
| R-DirectStandardisation | 1.3-lp153.2.13 | Adjusted Means and Proportions by Direct Standardisation |
| R-dirichletprocess | 0.4.2-lp153.1.5 | Build Dirichlet Process Objects for Bayesian Modelling |
| R-DirichletReg | 0.7.1-lp153.2.12 | Dirichlet Regression |
| R-dirmult | 0.1.3.5-lp153.1.10 | Estimation in Dirichlet-Multinomial Distribution |
| R-DirStats | 0.1.10-lp155.1.1 | Nonparametric Methods for Directional Data |
| R-DirStats | 0.1.10-lp154.1.1 | Nonparametric Methods for Directional Data |
| R-DirStats | 0.1.10-lp153.1.2 | Nonparametric Methods for Directional Data |
| R-DisaggregateTS | 2.0.0-lp153.1.9 | High-Dimensional Temporal Disaggregation |
| R-disastr.api | 1.0.6-lp153.2.2 | Wrapper for the UN OCHA ReliefWeb Disaster Events API |
| R-discFA | 1.0.1-lp153.1.4 | Discrete Factor Analysis |
| R-discfrail | 0.1-lp153.2.13 | Cox Models for Time-to-Event Data with Nonparametric Discret |
| R-discgolf | 0.2.0-lp153.2.12 | Discourse API Client |
| R-discharge | 1.0.0-lp153.13.5 | Fourier Analysis of Discharge Data |
| R-disclap | 1.5.1-lp153.1.11 | Discrete Laplace Exponential Family |
| R-discnorm | 0.2.1-lp153.5.5 | Test for Discretized Normality in Ordinal Data |
| R-disco | 0.6-lp153.10.8 | Discordance and Concordance of Transcriptomic Responses |
| R-discord | 1.1.0-lp153.1.12 | Functions for Discordant Kinship Modeling |
| R-discoverableresearch | 0.0.1-lp153.18.2 | Checks Title, Abstract and Keywords to Optimise Discoverabil |
| R-DiscreteDatasets | 0.1.1-lp153.2.2 | Example Data Sets for Use with Discrete Statistical Tests |
| R-DiscreteInverseWeibull | 1.0.2-lp153.2.13 | Discrete Inverse Weibull Distribution |
| R-DiscreteLaplace | 1.1.1-lp153.2.13 | Discrete Laplace Distributions |
| R-discreteMTP | 0.1.2-lp153.2.13 | Multiple testing procedures for discrete test statistics |
| R-DiscreteQvalue | 1.1-lp153.2.13 | Improved q-Values for Discrete Uniform and Homogeneous Tests |
| R-discreteRV | 1.2.2-lp153.3.7 | Create and Manipulate Discrete Random Variables |
| R-DiscreteWeibull | 1.1-lp153.2.13 | Discrete Weibull Distributions (Type 1 and 3) |
| R-discretization | 1.0.1.1-lp153.1.9 | Data Preprocessing, Discretization for Classification |
| R-DiscriMiner | 0.1.29-lp153.2.13 | Tools of the Trade for Discriminant Analysis |
| R-discrtr | 0.0.1-lp153.8.2 | A Companion Package for the Book \"Discrete Choice Analysis |
| R-discSurv | 1.4.2-lp153.1.11 | Discrete Time Survival Analysis |
| R-discursive | 0.1.1-lp153.3.2 | Measuring Discursive Sophistication in Open-Ended Survey Res |
| R-disdat | 1.0.1-lp153.1.7 | Data for Comparing Species Distribution Modeling Methods |
| R-diseasemapping | 2.0.6-lp153.1.4 | Modelling Spatial Variation in Disease Risk for Areal Data |
| R-diseq | 0.0.14-lp153.3.12 | Estimation Methods for Markets in Disequilibrium |
| R-Disequilibrium | 1.1-lp153.3.9 | Disequilibrium Models |
| R-DisHet | 1.0.0-lp153.2.13 | Estimate the Gene Expression Levels and Component Proportion |
| R-DisimForMixed | 0.2-lp153.13.7 | Calculate Dissimilarity Matrix for Dataset with Mixed Attrib |
| R-DisImpact | 0.0.21-lp153.6.2 | Calculates Disproportionate Impact When Binary Success Data |
| R-diskImageR | 1.0.0-lp153.2.13 | A Pipeline to Analyze Resistance and Tolerance from Drug Dis |
| R-disordR | 0.9.8.2-lp153.1.4 | Non-Ordered Vectors |
| R-disparityfilter | 2.2.3-lp153.7.4 | Disparity Filter Algorithm for Weighted Networks |
| R-dispeRse | 1.1-lp153.2.4 | Simulation of Demic Diffusion with Environmental Constraints |
| R-displayHTS | 1.0-lp153.2.13 | displayHTS |
| R-dispmod | 1.2-lp153.2.13 | Modelling Dispersion in GLM |
| R-disposables | 1.0.3-lp153.2.13 | Create Disposable R Packages for Testing |
| R-dispositionEffect | 1.0.1-lp153.8.4 | Analysis of Disposition Effect on Financial Portfolios |
| R-disprofas | 0.2.0-lp153.1.2 | Non-Parametric Dissolution Profile Analysis |
| R-disprose | 0.1.6-lp153.1.10 | Discriminating Probes Selection |
| R-dissCqN | 0.1.0-lp153.1.12 | Multiple Assemblage Dissimilarity for Orders q = 0-N |
| R-dissUtils | 1.0-lp153.2.13 | Utilities for making pairwise comparisons of multivariate da |
| R-distance.sample.size | 0.0-lp153.2.13 | Calculates Study Size Required for Distance Sampling |
| R-distantia | 1.0.2-lp153.13.5 | Assessing Dissimilarity Between Multivariate Time Series |
| R-distcrete | 1.0.3-lp153.2.13 | Discrete Distribution Approximations |
| R-distdichoR | 0.1.1-lp153.9.7 | Distributional Method for the Dichotomisation of Continuous |
| R-distdrawr | 0.1.3-lp153.2.13 | Download Occurrence Data of Vascular Plants in Germany from |
| R-distfree.cr | 1.5.1-lp153.2.13 | Distribution-Free Confidence Region |
| R-distill | 1.6-lp153.5.2 | \'R Markdown\' Format for Scientific and Technical Writing |
| R-distillery | 1.2.1-lp153.1.12 | Method Functions for Confidence Intervals and to Distill Inf |
| R-distillML | 0.1.0.13-lp153.8.2 | Model Distillation and Interpretability Methods for Machine |
| R-distinctiveness | 1.0.1-lp153.2.4 | Distinctiveness Centrality |
| R-distr | 2.5.3-lp153.2.23 | Object oriented implementation of distributions |
| R-distr | 2.5.3-lp154.2.10 | Object oriented implementation of distributions |
| R-distr | 2.5.3-2.38 | Object oriented implementation of distributions |
| R-distr | 2.5.3-lp155.2.5 | Object oriented implementation of distributions |
| R-distr | 2.5.3-2.29 | Object oriented implementation of distributions |
| R-distrDoc | 2.8.2-lp153.1.4 | Documentation for \'distr\' Family of R Packages |
| R-distrEx | 2.5-lp155.3.5 | Extensions of package distr |
| R-distrEx | 2.5-lp154.3.10 | Extensions of package distr |
| R-distrEx | 2.5-lp153.3.23 | Extensions of package distr |
| R-distrEx | 2.5-3.28 | Extensions of package distr |
| R-distrEx | 2.5-3.38 | Extensions of package distr |
| R-DISTRIB | 1.0-lp153.2.13 | Four Essential Functions for Statistical Distributions Analy |
| R-distribglm | 0.4.1-lp153.4.11 | Distributed Generalized Linear Models |
| R-Distributacalcul | 0.4.0-lp153.1.4 | Probability Distribution Functions |
| R-DistributionOptimization | 1.2.6-lp153.19.2 | Distribution Optimization |
| R-distributionsrd | 0.0.6-lp153.4.12 | Distribution Fitting and Evaluation |
| R-DistributionTest | 1.1-lp153.2.13 | Powerful Goodness-of-Fit Tests Based on the Likelihood Ratio |
| R-DistributionUtils | 0.6.1-lp153.1.5 | Distribution utilities |
| R-distro | 0.1.0-lp153.2.13 | Linux Distribution Properties |
| R-distrom | 1.0.1-lp153.1.10 | Distributed Multinomial Regression |
| R-distrr | 0.0.6-lp153.15.2 | Estimate and Manage Empirical Distributions |
| R-distrRmetrics | 2.8.2-lp153.1.4 | Distribution Classes for Distributions from Rmetrics |
| R-distrTeach | 2.9.1-lp153.1.4 | Extensions of Package \'distr\' for Teaching Stochastics/Sta |
| R-distrTEst | 2.8.2-lp153.1.4 | Estimation and Testing Classes Based on Package \'distr\' |
| R-distTails | 0.1.2-lp153.2.12 | A Collection of Full Defined Distribution Tails |
| R-disttools | 0.1.8-lp153.1.11 | Distance Object Manipulation Tools |
| R-dittodb | 0.1.8-lp153.2.2 | A Test Environment for Database Requests |
| R-dittoViz | 1.0.1-lp153.1.4 | User Friendly Data Visualization |
| R-divagis | 1.0.0-lp153.2.13 | Provides tools for quality checks of georeferenced plant spe |
| R-DivE | 1.3-lp153.1.5 | Diversity Estimator |
| R-diverge | 2.0.6-lp153.2.7 | Evolutionary Trait Divergence Between Sister Species and Oth |
| R-diverse | 0.1.5-lp153.6.2 | Diversity Measures for Complex Systems |
| R-DiversificationR | 0.1.0-lp153.1.13 | Econometric Tools to Measure Portfolio Diversification |
| R-divo | 1.0.1-lp153.2.13 | Tools for Analysis of Diversity and Similarity in Biological |
| R-divvy | 1.0.0-lp153.1.4 | Spatial Subsampling of Biodiversity Occurrence Data |
| R-dixonTest | 1.0.4-lp153.1.8 | Dixon\'s Ratio Test for Outlier Detection |
| R-diyar | 0.5.1-lp153.1.4 | Record Linkage and Epidemiological Case Definitions in \'R\' |
| R-DIZtools | 1.0.1-lp153.1.5 | Lightweight Utilities for \'DIZ\' R Package Development |
| R-DIZutils | 0.0.11-lp153.1.11 | Utilities for \'DIZ\' R Package Development |
| R-dkanr | 0.1.3-lp153.16.2 | Client for the \'DKAN\' API |
| R-dkDNA | 0.1.1-lp153.2.13 | Diffusion Kernels on a Set of Genotypes |
| R-DLASSO | 2.0.2-lp153.2.13 | Implementation of Adaptive or Non-Adaptive Differentiable La |
| R-dlbayes | 0.1.0-lp153.4.7 | Use Dirichlet Laplace Prior to Solve Linear Regression Probl |
| R-DLEGFM | 0.4.0-lp153.1.4 | Distributed Loading Estimation for General Factor Model |
| R-dlib | 1.0.3.1-lp153.3.8 | Allow Access to the \'Dlib\' C++ Library |
| R-dlib-devel | 1.0.3.1-lp153.3.8 | Development files for Dlib |
| R-dlim | 0.1.0-lp153.2.2 | Distributed Lag Interaction Model |
| R-DLL | 1.0.0-lp153.2.7 | Decorrelated Local Linear Estimator |
| R-dlnm | 2.4.7-lp153.1.12 | Distributed Lag Non-Linear Models |
| R-dlookr | 0.3.14-lp153.3.12 | Tools for Data Diagnosis, Exploration, Transformation |
| R-DLPCA | 0.0.5-lp153.1.8 | The Distributed Local PCA Algorithm |
| R-dlr | 1.0.1-lp153.2.5 | Download and Cache Files Safely |
| R-DLSSM | 0.1.0-lp153.2.7 | Dynamic Logistic State Space Prediction Model |
| R-dlstats | 0.1.7-lp153.1.5 | Download Stats of R Packages |
| R-dm | 1.0.10-lp153.1.4 | Relational Data Models |
| R-dma | 1.4.0-lp153.2.13 | Dynamic Model Averaging |
| R-dmacs | 0.1.0-lp153.5.11 | Measurement Nonequivalence Effect Size Calculator |
| R-dmai | 0.5.0-lp153.2.2 | Divisia Monetary Aggregates Index |
| R-dmetatools | 1.1.1-lp153.1.5 | Computational Tools for Meta-Analysis of Diagnostic Accuracy |
| R-dml | 1.1.0-lp153.4.7 | Distance Metric Learning in R |
| R-DMLLZU | 0.1.1-lp153.16.3 | Double Machine Learning |
| R-dmm | 2.1.10-lp153.2.2 | Dyadic Mixed Model for Pedigree Data |
| R-DMMF | 0.5.2.0-lp153.2.4 | Daily Based Morgan-Morgan-Finney (DMMF) Soil Erosion Model |
| R-dMod | 1.0.2-lp153.15.2 | Dynamic Modeling and Parameter Estimation in ODE Models |
| R-dmri.tracking | 0.1.0-lp153.12.5 | DiST - Diffusion Direction Smoothing and Tracking |
| R-DMRMark | 1.1.1-lp153.4.11 | DMR Detection by Non-Homogeneous Hidden Markov Model from Me |
| R-DMRnet | 0.4.0-lp153.1.5 | Delete or Merge Regressors Algorithms for Linear and Logisti |
| R-dmt | 0.8.20-lp153.2.13 | Dependency Modeling Toolkit |
| R-DMtest | 1.0.0-lp153.1.12 | Differential Methylation Tests (DMtest) |
| R-dmtools | 0.2.6-lp153.22.2 | Tools for Clinical Data Management |
| R-dmutate | 0.1.3-lp153.8.7 | Mutate Data Frames with Random Variates |
| R-DMwR | 0.4.1-lp153.2.12 | Functions and data for \"Data Mining with R\" |
| R-DMwR2 | 0.0.2-lp153.14.5 | Functions and Data for the Second Edition of \"Data Mining w |
| R-DNAseqtest | 1.0-lp153.2.13 | Generating and Testing DNA Sequences |
| R-dndR | 2.0.0-lp153.2.2 | Dungeons & Dragons Functions for Players and Dungeon Masters |
| R-DnE | 2.1.0-lp153.2.13 | Distribution and Equation |
| R-DNetFinder | 1.1-lp153.5.4 | Estimating Differential Networks under Semiparametric Gaussi |
| R-DNH4 | 0.1.12-lp153.7.4 | Crawling for Daum News Text |
| R-DNMF | 1.3-lp153.3.12 | Discriminant Non-Negative Matrix Factorization |
| R-DOBAD | 1.0.6-lp153.2.13 | Analysis of Discretely Observed Linear Birth-and-Death(-and- |
| R-dobson | 0.4-lp153.2.13 | Data from the GLM Book by Dobson and Barnett |
| R-doBy | 4.5_11-lp154.1.10 | doBy - Groupwise summary statistics, LSmeans, general linear |
| R-doBy | 4.5_11-lp153.1.31 | doBy - Groupwise summary statistics, LSmeans, general linear |
| R-DockerParallel | 1.0.4-lp153.1.12 | Using the Docker Container to Create R Workers on Local or C |
| R-docknitr | 1.0.1-lp153.11.5 | Use Docker Images to Process Rmarkdown Blocks |
| R-docopt | 0.7.1-lp153.2.13 | Command-Line Interface Specification Language |
| R-docopulae | 0.4.0-lp153.2.13 | Optimal Designs for Copula Models |
| R-docore | 1.0-lp153.1.11 | Utility Functions for Scientific Coding |
| R-docreview | 0.0.1-lp153.17.4 | Opinionated Documentation Checking |
| R-documair | 0.6.0-lp153.2.13 | Automatic Documentation for R packages |
| R-docuSignr | 0.0.3-lp153.2.12 | Connect to \'DocuSign\' API |
| R-docxtools | 0.3.0-lp153.4.7 | Tools for R Markdown to Docx Documents |
| R-docxtractr | 0.6.5-lp153.15.7 | Extract Data Tables and Comments from \'Microsoft\' \'Word\' |
| R-Dodge | 0.9.2-lp153.2.13 | Acceptance Sampling Ideas Originated by H.F. Dodge |
| R-DoE.base | 0.26_3-1.55 | Full factorials, orthogonal arrays and base utilities for Do |
| R-DoE.base | 0.26_3-lp155.1.5 | Full factorials, orthogonal arrays and base utilities for Do |
| R-DoE.base | 0.26_3-lp153.1.24 | Full factorials, orthogonal arrays and base utilities for Do |
| R-DoE.base | 0.26_3-1.28 | Full factorials, orthogonal arrays and base utilities for Do |
| R-DoE.base | 0.26_3-lp154.1.10 | Full factorials, orthogonal arrays and base utilities for Do |
| R-DoE.base | 1.2.4-lp153.1.4 | Full factorials, orthogonal arrays and base utilities for Do |
| R-DoE.MIParray | 1.0.1-lp153.1.5 | Creation of Arrays by Mixed Integer Programming |
| R-DoE.multi.response | 0.1.0-lp153.5.12 | Construct Multi-Response Experimental Designs |
| R-DoE.wrapper | 0.8_10-lp153.1.23 | Wrapper package for design of experiments functionality |
| R-DoE.wrapper | 0.8_10-1.25 | Wrapper package for design of experiments functionality |
| R-DoE.wrapper | 0.8_10-lp154.1.10 | Wrapper package for design of experiments functionality |
| R-DoE.wrapper | 0.8_10-1.50 | Wrapper package for design of experiments functionality |
| R-DoE.wrapper | 0.8_10-lp155.1.5 | Wrapper package for design of experiments functionality |
| R-doebioresearch | 0.1.0-lp153.23.5 | Analysis of Design of Experiments for Biological Research |
| R-DOEM | 0.0.0.1-lp153.1.10 | The Distributed Online Expectation Maximization Algorithms t |
| R-DoEstRare | 0.2-lp153.2.13 | Rare Variant Association Test Based on Position Density Esti |
| R-doex | 1.2-lp153.2.13 | The One-Way Heteroscedastic ANOVA Tests |
| R-doFuture | 0.9.0-lp155.1.5 | A Universal Foreach Parallel Adapter using the Future API of |
| R-doFuture | 0.9.0-lp154.1.10 | A Universal Foreach Parallel Adapter using the Future API of |
| R-doFuture | 0.9.0-lp153.1.14 | A Universal Foreach Parallel Adapter using the Future API of |
| R-doFuture | 0.9.0-1.28 | A Universal Foreach Parallel Adapter using the Future API of |
| R-doFuture | 0.9.0-1.14 | A Universal Foreach Parallel Adapter using the Future API of |
| R-doFuture | 1.0.1-lp153.1.4 | Use Foreach to Parallelize via the Future Framework |
| R-dogesr | 0.1.0-lp153.2.8 | Work with the Doges/Dogaresse Dataset |
| R-doMC | 1.3.3-2.24 | Foreach parallel adaptor for the multicore package |
| R-doMC | 1.3.3-2.39 | Foreach parallel adaptor for the multicore package |
| R-doMC | 1.3.3-lp154.2.10 | Foreach parallel adaptor for the multicore package |
| R-doMC | 1.3.8-lp153.1.11 | Foreach Parallel Adaptor for \'parallel\' |
| R-doMC | 1.3.3-lp155.2.5 | Foreach parallel adaptor for the multicore package |
| R-doMC | 1.3.3-lp153.2.23 | Foreach parallel adaptor for the multicore package |
| R-Dominance | 1.2.0-lp153.1.13 | Calculate and Visualize Dominance Hierarchies |
| R-dominanceanalysis | 2.1.0-lp153.1.4 | Dominance Analysis |
| R-domino | 0.3.1-lp153.2.13 | R Console Bindings for the \'Domino Command-Line Client\' |
| R-DominoDataCapture | 0.1.1-lp153.1.11 | Domino Data Capture |
| R-DominoPredictionLogging | 0.1.0-lp153.1.12 | Domino Prediction Logging |
| R-domir | 1.2.0-lp153.2.2 | Tools to Support Relative Importance Analysis |
| R-doMIsaul | 1.0.1-lp153.4.10 | Do Multiple Imputation-Based Semi-Supervised and Unsupervise |
| R-donut | 1.0.3-lp153.1.5 | Nearest Neighbour Search with Variables on a Torus |
| R-donutsk | 0.1.1-lp153.2.2 | Construct Advanced Donut Charts |
| R-doofa | 1.0-lp153.1.2 | Designs for Order-of-Addition Experiments |
| R-doParallel | 1.0.17-lp153.1.11 | Foreach Parallel Adaptor for the \'parallel\' Package |
| R-doParallel | 1.0.15-lp155.1.5 | Foreach Parallel Adaptor for the \'parallel\' Package |
| R-doParallel | 1.0.15-lp154.1.10 | Foreach Parallel Adaptor for the \'parallel\' Package |
| R-doParallel | 1.0.15-1.24 | Foreach Parallel Adaptor for the \'parallel\' Package |
| R-doParallel | 1.0.15-1.28 | Foreach Parallel Adaptor for the \'parallel\' Package |
| R-doParallel | 1.0.15-lp153.1.24 | Foreach Parallel Adaptor for the \'parallel\' Package |
| R-DOPE | 2.1.0-lp153.12.2 | Drug Ontology Parsing Engine |
| R-doRNG | 1.8.6-lp153.1.7 | Generic Reproducible Parallel Backend for \'foreach\' Loops |
| R-DOS | 1.0.0-lp153.2.13 | Design of Observational Studies |
| R-DOS2 | 0.5.2-lp153.2.13 | Design of Observational Studies, Companion to the Second Edi |
| R-doseminer | 0.1.2-lp153.5.2 | Extract Drug Dosages from Free-Text Prescriptions |
| R-doseSens | 0.1.0-lp153.1.4 | Conduct Sensitivity Analysis with Continuous Exposures and B |
| R-doSNOW | 1.0.20-lp153.1.11 | Foreach Parallel Adaptor for the \'snow\' Package |
| R-DOSPortfolio | 0.1.0-lp153.1.12 | Dynamic Optimal Shrinkage Portfolio |
| R-dosresmeta | 2.0.1-lp153.2.13 | Multivariate Dose-Response Meta-Analysis |
| R-dostats | 1.3.3-lp153.1.9 | Compute Statistics Helper Functions |
| R-DoTC | 0.2-lp153.12.7 | Distribution of Typicality Coefficients |
| R-dotdot | 0.1.0-lp153.2.13 | Enhanced Assignment Operator to Overwrite or Grow Objects |
| R-dotenv | 1.0.3-lp153.1.13 | Load Environment Variables from \'.env\' |
| R-dotgen | 0.1.0-lp153.2.13 | Gene-Set Analysis via Decorrelation by Orthogonal Transforma |
| R-dotprofile | 0.0.1-lp153.2.8 | Create and Manage Configuration Profiles |
| R-dotsViolin | 0.0.1-lp153.2.2 | Dot Plots Mimicking Violin Plots |
| R-doubcens | 1.1-lp153.2.13 | Survivor Function Estimation for Doubly Interval-Censored Fa |
| R-double.truncation | 1.7-lp153.2.13 | Analysis of Doubly-Truncated Data |
| R-DoubleCone | 1.1-lp153.3.7 | Test Against Parametric Regression Function |
| R-DoubleExpSeq | 1.1-lp153.2.13 | Differential Exon Usage Test for RNA-Seq Data via Empirical |
| R-doubt | 0.1.0-lp153.2.13 | Enable Operators Containing the \'?\' Symbol |
| R-doudpackage | 2.1.0-lp153.6.2 | Create Elegant Table 1 in HTML for Bio-Statistics |
| R-DOvalidation | 1.1.0-lp153.2.13 | Kernel Hazard Estimation with Best One-Sided and Double One- |
| R-downlit | 0.4.4-lp153.1.2 | Syntax Highlighting and Automatic Linking |
| R-downloader | 0.4-1.25 | Download Files over HTTP and HTTPS |
| R-downloader | 0.4-lp155.1.5 | Download Files over HTTP and HTTPS |
| R-downloader | 0.4-lp154.1.10 | Download Files over HTTP and HTTPS |
| R-downloader | 0.4-1.41 | Download Files over HTTP and HTTPS |
| R-downloader | 0.4-lp153.2.13 | Download Files over HTTP and HTTPS |
| R-downloader | 0.4-lp153.1.24 | Download Files over HTTP and HTTPS |
| R-downloadthis | 0.3.3-lp153.4.2 | Implement Download Buttons in \'rmarkdown\' |
| R-downsize | 0.2.3-lp153.1.5 | A Tool to Downsize Large Analysis Projects for Testing |
| R-dpa | 1.0.3-lp153.7.12 | Dynamic Path Approach |
| R-dplbnDE | 0.1.3-lp153.1.5 | Discriminative Parameter Learning of Bayesian Networks by Di |
| R-dplR | 1.7.7-lp153.1.2 | Dendrochronology Program Library in R |
| R-dplRCon | 1.0-lp153.2.13 | Concordance for Dendroclimatology |
| R-dplyr | 1.0.2-1.35 | A Grammar of Data Manipulation |
| R-dplyr | 1.1.4-lp153.1.4 | A Grammar of Data Manipulation |
| R-dplyr | 1.0.2-1.32 | A Grammar of Data Manipulation |
| R-dplyr | 1.0.2-lp153.1.26 | A Grammar of Data Manipulation |
| R-dplyr.teradata | 0.4.1-lp153.3.9 | A \'Teradata\' Backend for \'dplyr\' |
| R-dppmix | 0.1.1-lp153.2.13 | Determinantal Point Process Mixture Models |
| R-dprint | 0.0.4-lp153.2.13 | Print Tabular Data to Graphics Device |
| R-dprop | 0.1.0-lp153.1.5 | Computation of Some Important Distributional Properties |
| R-DPtree | 1.0.1-lp153.7.7 | Dirichlet-Based Polya Tree |
| R-dQTG.seq | 1.0.2-lp153.2.2 | A BSA Software for Detecting All Types of QTLs in BC, DH, RI |
| R-dr | 3.0.10-lp153.3.13 | Methods for dimension reduction for regression |
| R-dr4pl | 2.0.0-lp153.7.5 | Dose Response Data Analysis using the 4 Parameter Logistic ( |
| R-dragon | 1.2.1-lp153.12.5 | Deep Time Redox Analysis of the Geobiology Ontology Network |
| R-dragonking | 0.1.0-lp153.2.13 | Statistical Tools to Identify Dragon Kings |
| R-dragracer | 0.1.7-lp153.1.9 | Data Sets for RuPaul\'s Drag Race |
| R-dragulaR | 0.3.1-lp153.16.2 | Drag and Drop Elements in \'Shiny\' using \'Dragula Javascri |
| R-drake | 7.13.10-lp153.2.2 | A Pipeline Toolkit for Reproducible Computation at Scale |
| R-DramaAnalysis | 3.0.2-lp153.13.5 | Analysis of Dramatic Texts |
| R-drape | 0.0.1-lp153.1.5 | Doubly Robust Average Partial Effects |
| R-drat | 0.2.4-lp153.1.5 | \'Drat\' R Archive Template |
| R-draw | 1.0.0-lp153.2.13 | Wrapper Functions for Producing Graphics |
| R-drawer | 0.2.0.1-lp153.12.2 | An Interactive HTML Image Editing Tool |
| R-DRaWR | 1.0.3-lp153.1.10 | Discriminative Random Walk with Restart |
| R-drawsample | 0.1.1-lp153.4.13 | Draw Samples with the Desired Properties from a Data Set |
| R-DRAYL | 1.0-lp153.3.7 | Computation of Rayleigh Densities of Arbitrary Dimension |
| R-drcarlate | 1.2.0-lp153.2.2 | Improving Estimation Efficiency in CAR with Imperfect Compli |
| R-DRDRtest | 0.1-lp153.1.12 | A Nonparametric Doubly Robust Test for Continuous Treatment |
| R-dreamer | 3.1.0-lp153.6.2 | Dose Response Models for Bayesian Model Averaging |
| R-dreamerr | 1.4.0-lp153.1.4 | Error Handling Made Easy |
| R-DREGAR | 0.1.3.0-lp153.2.13 | Regularized Estimation of Dynamic Linear Regression in the P |
| R-drfit | 0.7.2-lp153.15.5 | Dose-response data evaluation |
| R-DRHotNet | 2.3-lp153.2.4 | Differential Risk Hotspots in a Linear Network |
| R-drhur | 1.1.0-lp153.6.2 | Learning R with Dr. Hu |
| R-drifter | 0.2.1-lp153.17.2 | Concept Drift and Concept Shift Detection for Predictive Mod |
| R-DrillR | 0.1-lp153.2.12 | R Driver for Apache Drill |
| R-DRIP | 2.0-lp153.2.2 | Discontinuous Regression and Image Processing |
| R-DriveML | 0.1.2-lp153.1.28 | Self-Drive Machine Learning Projects |
| R-drmdel | 1.3.2-lp153.1.12 | Dual Empirical Likelihood Inference under Density Ratio Mode |
| R-droll | 0.1.0-lp153.2.7 | Analyze Roll Distributions |
| R-droptest | 0.1.3-lp153.2.13 | Simulates LOX Drop Testing |
| R-drord | 1.0.1-lp153.7.5 | Doubly-Robust Estimators for Ordinal Outcomes |
| R-drought | 1.2-lp153.2.2 | Statistical Modeling and Assessment of Drought |
| R-drpop | 0.0.3-lp153.11.2 | Efficient and Doubly Robust Population Size Estimation |
| R-DRR | 0.0.4-lp153.2.13 | Dimensionality Reduction via Regression |
| R-drtmle | 1.1.2-lp153.1.7 | Doubly-Robust Nonparametric Estimation and Inference |
| R-drugCombo | 1.2.1-lp153.3.12 | Drug Interaction Modeling Based on Loewe Additivity Followin |
| R-drughelper | 0.2.0-lp153.1.12 | Drug Identification and Drug Name Correction with Automatic |
| R-drugprepr | 0.0.4-lp153.16.2 | Prepare Electronic Prescription Record Data to Estimate Drug |
| R-drumr | 0.1.0-lp153.7.2 | Turn R into a Drum Machine |
| R-ds | 4.0-lp153.2.13 | Descriptive statistics |
| R-ds4psy | 1.0.0-lp153.1.5 | Data Science for Psychologists |
| R-dsample | 0.91.3.4-lp153.1.7 | Discretization-Based Direct Random Sample Generation |
| R-DSBayes | 2023.1.0-lp153.1.5 | Bayesian Subgroup Analysis in Clinical Trials |
| R-dsdp | 0.1.1-lp153.1.7 | Density Estimation with Semidefinite Programming |
| R-dse | 2020.2.1-lp153.2.13 | Dynamic Systems Estimation (Time Series Package) |
| R-dsfa | 1.0.1-lp153.4.7 | Distributional Stochastic Frontier Analysis |
| R-DSjobtracker | 2.0.0-lp153.1.4 | What Skills and Qualifications are Required for Data Science |
| R-DSL | 0.1.7-lp153.2.13 | Distributed Storage and List |
| R-dslabs | 0.8.0-lp153.2.2 | Data Science Labs |
| R-dsos | 0.1.2-lp153.1.7 | Dataset Shift with Outlier Scores |
| R-DSpat | 0.1.6-lp153.2.13 | Spatial Modelling for Distance Sampling Data |
| R-DSpoty | 0.1.0-lp153.17.2 | Get \'Spotify\' API Multiple Information |
| R-DSSAT | 0.0.9-lp153.1.4 | A Comprehensive R Interface for the DSSAT Cropping Systems M |
| R-DSsim | 1.1.5-lp153.6.8 | Distance Sampling Simulations |
| R-dstabledist | 0.1.0-lp153.1.5 | The Discrete Stable Distribution Functions |
| R-dstack | 0.2.1-lp153.2.12 | Publishing Interactive Plots |
| R-dstat | 1.0.4-lp153.2.13 | Conditional Sensitivity Analysis for Matched Observational S |
| R-dstat2x2xk | 0.2.0-lp153.1.10 | Demonstrated Insensitivity to Bias in 2x2xK Contingency Tabl |
| R-dSTEM | 2.0.1-lp153.1.5 | Multiple Testing of Local Extrema for Detection of Change Po |
| R-DSviaDRM | 1.0-lp153.2.13 | Exploring Disease Similarity in Terms of Dysfunctional Regul |
| R-DT | 0.13-1.14 | A Wrapper of the JavaScript Library \'DataTables\' |
| R-DT | 0.33-lp153.2.2 | A Wrapper of the JavaScript Library \'DataTables\' |
| R-DT | 0.13-1.43 | A Wrapper of the JavaScript Library \'DataTables\' |
| R-DT | 0.13-lp153.1.14 | A Wrapper of the JavaScript Library \'DataTables\' |
| R-dtangle | 2.0.9-lp153.2.13 | Cell Type Deconvolution from Gene Expressions |
| R-DTAplots | 1.0.2.5-lp153.1.12 | Creates Plots Accompanying Bayesian Diagnostic Test Accuracy |
| R-DTAT | 0.3.7-lp153.2.2 | Dose Titration Algorithm Tuning |
| R-DTAXG | 0.1.0-lp153.2.13 | Diagnostic Test Assessment in the Absence of Gold Standard |
| R-DTComPair | 1.2.4-lp153.2.2 | Comparison of Binary Diagnostic Tests in a Paired Study Desi |
| R-DTDA | 3.0.1-lp153.1.11 | Doubly Truncated Data Analysis |
| R-DTDA.ni | 1.0.1-lp153.1.10 | Doubly Truncated Data Analysis, Non Iterative |
| R-dtgiw | 1.0.0-lp153.1.10 | Discrete Transmuted Generalized Inverse Weibull Distribution |
| R-dti | 1.5.1-lp153.17.5 | Analysis of Diffusion Weighted Imaging (DWI) Data |
| R-DTK | 3.5-lp153.2.13 | Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjus |
| R-DTMCPack | 0.1.3-lp153.1.10 | Suite of Functions Related to Discrete-Time Discrete-State M |
| R-dtp | 0.1.0-lp153.3.7 | Dynamic Panel Threshold Model |
| R-dtpcrm | 0.1.1-lp153.2.13 | Dose Transition Pathways for Continual Reassessment Method |
| R-dtplyr | 1.0.1-lp153.1.23 | Data Table Back-End for \'dplyr\' |
| R-dtplyr | 1.0.1-1.38 | Data Table Back-End for \'dplyr\' |
| R-dtplyr | 1.3.1-lp153.1.5 | Data Table Back-End for \'dplyr\' |
| R-dtplyr | 1.0.1-1.24 | Data Table Back-End for \'dplyr\' |
| R-DTR | 1.7-lp153.14.5 | Estimation and Comparison of Dynamic Treatment Regimes |
| R-dtree | 0.4.2-lp153.14.10 | Decision Trees |
| R-DTRlearn2 | 1.1-lp153.4.7 | Statistical Learning Methods for Optimizing Dynamic Treatmen |
| R-DTRreg | 2.2-lp153.2.2 | DTR Estimation and Inference via G-Estimation, Dynamic WOLS, |
| R-dtrSurv | 1.4-lp153.1.9 | Dynamic Treatment Regimes for Survival Analysis |
| R-DTSg | 1.1.3-lp153.1.5 | A Class for Working with Time Series Data Based on \'data.ta |
| R-dtt | 0.1.2-lp153.2.13 | Discrete Trigonometric Transforms |
| R-dtw | 1.17_1-lp153.3.24 | Dynamic time warping algorithms |
| R-dtw | 1.17_1-3.30 | Dynamic time warping algorithms |
| R-dtw | 1.22.3-lp153.2.13 | Dynamic time warping algorithms |
| R-dtw | 1.17_1-3.38 | Dynamic time warping algorithms |
| R-dtw | 1.17_1-lp154.3.10 | Dynamic time warping algorithms |
| R-DTWBI | 1.1-lp153.3.12 | Imputation of Time Series Based on Dynamic Time Warping |
| R-DTwrappers | 0.0.2-lp153.1.12 | Simplified Data Analysis with Wrapper Functions for the \'Da |
| R-dtwSat | 1.0.0-lp153.1.5 | Time-Weighted Dynamic Time Warping for Satellite Image Time |
| R-DTWUMI | 1.0-lp153.3.12 | Imputation of Multivariate Time Series Based on Dynamic Time |
| R-dual | 0.0.5-lp153.1.5 | Automatic Differentiation with Dual Numbers |
| R-dual.spls | 0.1.4-lp153.1.5 | Dual Sparse Partial Least Squares Regression |
| R-dualScale | 1.0.0-lp153.1.4 | Dual Scaling Analysis of Data |
| R-dualtrees | 0.1.5-lp153.1.5 | Decimated and Undecimated 2D Complex Dual-Tree Wavelet Trans |
| R-duawranglr | 0.6.7-lp153.12.5 | Securely Wrangle Dataset According to Data Usage Agreement |
| R-dub | 0.2.0-lp153.2.13 | Unpacking Assignment for Lists via Pattern Matching |
| R-DUBStepR | 1.2.0-lp153.14.5 | Correlation-Based Feature Selection for Single-Cell RNA Sequ |
| R-duckduckr | 1.0.0-lp153.3.7 | Simple Client for the DuckDuckGo Instant Answer API |
| R-duke | 0.0.3-lp153.1.4 | Creating a Color-Blind Friendly Duke Color Package |
| R-dummies | 1.5.6-lp153.2.13 | Create dummy/indicator variables flexibly and efficiently |
| R-dummy | 0.1.3-lp153.2.13 | Automatic Creation of Dummies with Support for Predictive Mo |
| R-dundermifflin | 0.1.1-lp153.6.2 | The Office Quotes on-Demand |
| R-dunlin | 0.1.7-lp153.2.2 | Preprocessing Tools for Clinical Trial Data |
| R-dunn.test | 1.3.6-lp153.2.2 | Dunn\'s Test of Multiple Comparisons Using Rank Sums |
| R-DunnettTests | 2.0-lp153.2.13 | Software implementation of step-down and step-up Dunnett tes |
| R-dupiR | 1.2.1-lp153.2.2 | Bayesian Inference from Count Data using Discrete Uniform Pr |
| R-dupNodes | 0.3.0-lp153.2.2 | Computes DNSLbetweenness, a Betweenness Measure that Include |
| R-dupree | 0.3.0-lp153.23.4 | Identify Duplicated R Code in a Project |
| R-Durga | 2.0-lp153.1.4 | Effect Size Estimation and Visualisation |
| R-DVHmetrics | 0.4.2-lp153.12.2 | Analyze Dose-Volume Histograms and Check Constraints |
| R-DWBmodelUN | 1.0.0-lp153.9.5 | Dynamic Water Balance a Hydrological Model |
| R-dwctaxon | 2.0.3-lp153.2.2 | Edit and Validate Darwin Core Taxon Data |
| R-dwdradar | 0.2.10-lp153.1.5 | Read Binary Radar Files from \'DWD\' (German Weather Service |
| R-DWLasso | 1.1-lp153.15.4 | Degree Weighted Lasso |
| R-dwlm | 0.1.0-lp153.2.13 | Doubly Weighted Linear Model |
| R-dwp | 1.1-lp153.5.2 | Density-Weighted Proportion |
| R-DWreg | 2.0-lp153.20.4 | Parametric Regression for Discrete Response |
| R-dyads | 1.1.2-lp153.1.13 | Dyadic Network Analysis |
| R-dydea | 0.1.0-lp153.2.13 | Detection of Chaotic and Regular Intervals in the Data |
| R-dygraphs | 1.1.1.6-lp155.1.5 | Interface to \'Dygraphs\' Interactive Time Series Charting L |
| R-dygraphs | 1.1.1.6-lp154.1.10 | Interface to \'Dygraphs\' Interactive Time Series Charting L |
| R-dygraphs | 1.1.1.6-lp153.15.2 | Interface to \'Dygraphs\' Interactive Time Series Charting L |
| R-dygraphs | 1.1.1.6-1.70 | Interface to \'Dygraphs\' Interactive Time Series Charting L |
| R-dygraphs | 1.1.1.6-1.25 | Interface to \'Dygraphs\' Interactive Time Series Charting L |
| R-dygraphs | 1.1.1.6-lp153.1.24 | Interface to \'Dygraphs\' Interactive Time Series Charting L |
| R-Dykstra | 1.0.0-lp153.2.13 | Quadratic Programming using Cyclic Projections |
| R-DYM | 0.2-lp153.2.13 | Did You Mean? |
| R-DyMEP | 0.1.2-lp153.2.2 | Dynamic Multi Environment Phenology-Model |
| R-dymo | 1.1.0-lp153.12.5 | Dynamic Mode Decomposition for Multivariate Time Feature Pre |
| R-dyn | 0.2.9.6-lp153.2.13 | Time Series Regression |
| R-dyn.log | 0.4.0-lp153.4.2 | Dynamic Logging for R Inspired by Configuration Driven Devel |
| R-dynamac | 0.1.12-lp153.1.7 | Dynamic Simulation and Testing for Single-Equation ARDL Mode |
| R-DynamicDistribution | 1.1-lp153.2.13 | Dynamically visualized probability distributions and their m |
| R-DynamicGP | 1.1.9-lp153.2.7 | Modelling and Analysis of Dynamic Computer Experiments |
| R-dynamicTreeCut | 1.63.1-lp153.2.13 | Methods for Detection of Clusters in Hierarchical Clustering |
| R-DynaRankR | 1.1.0-lp153.13.7 | Inferring Longitudinal Dominance Hierarchies |
| R-DynareR | 0.1.4-lp153.1.5 | Bringing the Power of \'Dynare\' to \'R\', \'R Markdown\', a |
| R-dynaSpec | 1.0.0-lp153.5.13 | Dynamic Spectrogram Visualizations |
| R-dynatopGIS | 0.2.5-lp153.2.4 | Algorithms for Helping Build Dynamic TOPMODEL Implementation |
| R-dynatopmodel | 1.2.1-lp153.2.13 | Implementation of the Dynamic TOPMODEL Hydrological Model |
| R-dynBiplotGUI | 1.1.6-lp153.2.13 | Full Interactive GUI for Dynamic Biplot in R |
| R-DynClust | 3.24-lp153.1.10 | Denoising and Clustering for Dynamical Image Sequence (2D or |
| R-dyncomp | 0.0.2.1-lp153.2.13 | Complexity of Short and Coarse-Grained Time Series |
| R-dynCorr | 1.1.0-lp153.2.13 | Dynamic Correlation Package |
| R-dyndimred | 1.0.4-lp153.10.2 | Dimensionality Reduction Methods in a Common Format |
| R-DynDoc | 1.56.0-lp154.1.10 | Dynamic document tools |
| R-DynDoc | 1.56.0-lp153.1.25 | Dynamic document tools |
| R-DynDoc | 1.56.0-lp155.1.5 | Dynamic document tools |
| R-DynDoc | 1.56.0-1.26 | Dynamic document tools |
| R-DynDoc | 1.56.0-1.38 | Dynamic document tools |
| R-dynetNLAResistance | 0.1.0-lp153.7.4 | Resisting Neighbor Label Attack in a Dynamic Network |
| R-dynfeature | 1.0.1-lp153.1.5 | Feature Importance for Dynamic Processes |
| R-DynForest | 1.1.3-lp153.1.3 | Random Forest with Multivariate Longitudinal Predictors |
| R-dynia | 0.2-lp153.2.13 | Fit Dynamic Intervention Model |
| R-DynNom | 5.1-lp153.1.2 | Visualising Statistical Models using Dynamic Nomograms |
| R-dynpanel | 0.1.0-lp153.2.13 | Dynamic Panel Data Models |
| R-dynparam | 1.0.2-lp153.17.2 | Creating Meta-Information for Parameters |
| R-dynplot | 1.1.2-lp153.9.5 | Visualising Single-Cell Trajectories |
| R-dynpred | 0.1.2-lp153.2.13 | Companion Package to \"Dynamic Prediction in Clinical Surviv |
| R-dynprog | 0.1.1-lp153.3.5 | Dynamic Programming Domain-Specific Language |
| R-dynRB | 0.18-lp153.4.2 | Dynamic Range Boxes |
| R-dynsim | 1.2.3-lp153.7.5 | Dynamic Simulations of Autoregressive Relationships |
| R-dyntaper | 1.1-lp153.1.8 | Dynamic Stem Profile Models, AKA Tree Taper Equations |
| R-DynTxRegime | 4.15-lp153.1.4 | Methods for Estimating Optimal Dynamic Treatment Regimes |
| R-dynwrap | 1.2.4-lp153.5.2 | Representing and Inferring Single-Cell Trajectories |
| R-DySeq | 0.22-lp153.12.11 | Functions for Dyadic Sequence Analyses |
| R-DysPIAData | 0.1.2-lp153.1.13 | Background and Pathway Data Used in \'DysPIA\' |
| R-e1071 | 1.6_4-lp153.1.26 | Misc Functions of the Department of Statistics (e1071), TU W |
| R-e1071 | 1.6_4-1.36 | Misc Functions of the Department of Statistics (e1071), TU W |
| R-e1071 | 1.6_4-lp155.1.5 | Misc Functions of the Department of Statistics (e1071), TU W |
| R-e1071 | 1.6_4-1.38 | Misc Functions of the Department of Statistics (e1071), TU W |
| R-e1071 | 1.6_4-lp154.1.10 | Misc Functions of the Department of Statistics (e1071), TU W |
| R-E4tools | 0.1.1-lp153.29.3 | Management and Processing Tools for Data Produced by the Emp |
| R-eadrm | 0.1.4-lp153.1.9 | Fitting Dose-Response Models Using an Evolutionary Algorithm |
| R-eAnalytics | 0.3-lp153.6.3 | Dynamic Web-Based Analytics for the Energy Industry |
| R-earlygating | 1.1-lp153.1.12 | Properties of Bayesian Early Gating Designs |
| R-earlywarnings | 1.1.29-lp153.9.5 | Early Warning Signals for Critical Transitions in Time Serie |
| R-earth | 3.2_7-3.30 | Multivariate Adaptive Regression Spline Models |
| R-earth | 3.2_7-lp154.3.10 | Multivariate Adaptive Regression Spline Models |
| R-earth | 3.2_7-lp155.3.5 | Multivariate Adaptive Regression Spline Models |
| R-earth | 3.2_7-lp153.3.23 | Multivariate Adaptive Regression Spline Models |
| R-earth | 3.2_7-3.38 | Multivariate Adaptive Regression Spline Models |
| R-earthdatalogin | 0.0.2-lp153.1.4 | NASA \'EarthData\' Login Utilities |
| R-earthtones | 0.1.1-lp153.21.2 | Derive a Color Palette from a Particular Location on Earth |
| R-easy.utils | 0.0.4-lp153.2.2 | Frequently Used Functions for Easy R Programming |
| R-EasyABC | 1.5.2-lp153.1.7 | Efficient Approximate Bayesian Computation Sampling Schemes |
| R-easyAHP | 0.1.1-lp153.2.13 | Analytic Hierarchy Process (AHP) |
| R-easyanova | 5.0-lp153.1.29 | Analysis of Variance and Other Important Complementary Analy |
| R-easycensus | 1.1.1-lp153.2.2 | Quickly Find, Extract, and Marginalize U.S. Census Tables |
| R-easyclimate | 0.2.1-lp153.2.4 | Easy Access to High-Resolution Daily Climate Data for Europe |
| R-easycsv | 1.0.8-lp153.2.13 | Load Multiple \'csv\' and \'txt\' Tables |
| R-EasyHTMLReport | 0.1.1-lp153.9.11 | EasyHTMLReport |
| R-easylabel | 0.2.8-lp153.3.2 | Interactive Scatter Plot and Volcano Plot Labels |
| R-EasyMARK | 1.0-lp153.2.12 | Utility functions for working with mark-recapture data. |
| R-EasyMx | 0.3.2-lp153.1.7 | Easy Model-Builder Functions for \'OpenMx\' |
| R-easyNCDF | 0.1.2-lp153.1.5 | Tools to Easily Read/Write NetCDF Files into/from Multidimen |
| R-easynls | 5.0-lp153.2.13 | Easy Nonlinear Model |
| R-easypower | 1.0.2-lp153.2.2 | Sample Size Estimation for Experimental Designs |
| R-easyPSID | 0.1.2-lp153.4.2 | Reading, Formatting, and Organizing the Panel Study of Incom |
| R-easyPubMed | 2.13-lp153.2.13 | Search and Retrieve Scientific Publication Records from PubM |
| R-easyr | 0.5.11-lp153.9.2 | Helpful Functions from Oliver Wyman Actuarial Consulting |
| R-easyreg | 4.0-lp153.2.13 | Easy Regression |
| R-easySVG | 0.1.0-lp153.2.13 | An Easy SVG Basic Elements Generator |
| R-eat | 0.1.4-lp153.4.2 | Efficiency Analysis Trees |
| R-eatATA | 1.1.2-lp153.1.4 | Create Constraints for Small Test Assembly Problems |
| R-eatDB | 0.5.0-lp153.6.4 | Spreadsheet Interface for Relational Databases |
| R-EATME | 0.1.0-lp153.8.4 | Exponentially Weighted Moving Average with Adjustments to Me |
| R-eba | 1.10.0-lp153.3.8 | Elimination-by-Aspects Models |
| R-ebal | 0.1.8-lp153.1.9 | Entropy Reweighting to Create Balanced Samples |
| R-EBASE | 1.0.2-lp153.1.2 | Estuarine Bayesian Single-Station Estimation Method for Ecos |
| R-EBASS | 0.1-lp153.2.13 | Sample Size Calculation Method for Cost-Effectiveness Studie |
| R-EbayesThresh | 1.4.12-lp153.2.13 | Empirical Bayes thresholding and related methods |
| R-EBCHS | 0.1.0-lp153.9.4 | An Empirical Bayes Method for Chi-Squared Data |
| R-ebci | 1.0.0-lp153.1.11 | Robust Empirical Bayes Confidence Intervals |
| R-ebdbNet | 1.2.8-lp153.2.4 | Empirical Bayes Estimation of Dynamic Bayesian Networks |
| R-EBEN | 5.1-lp153.1.5 | Empirical Bayesian Elastic Net |
| R-ebGenotyping | 2.0.1-lp153.2.13 | Genotyping and SNP Detection using Next Generation Sequencin |
| R-EBglmnet | 6.0-lp153.1.5 | Empirical Bayesian Lasso and Elastic Net Methods for General |
| R-EBImage | 4.6.0-1.38 | Image processing toolbox for R |
| R-EBImage | 4.6.0-1.30 | Image processing toolbox for R |
| R-EBImage | 4.6.0-lp153.1.23 | Image processing toolbox for R |
| R-ebirdst | 3.2022.3-lp153.2.2 | Access and Analyze eBird Status and Trends Data Products |
| R-ebnm | 1.1.2-lp153.1.5 | Solve the Empirical Bayes Normal Means Problem |
| R-EBPRS | 2.1.0-lp153.2.12 | Derive Polygenic Risk Score Based on Emprical Bayes Theory |
| R-EBrank | 1.0.0-lp153.2.13 | Empirical Bayes Ranking |
| R-ebreg | 0.1.3-lp153.1.12 | Implementation of the Empirical Bayes Method |
| R-ebSNP | 1.0-lp153.2.13 | Genotyping and SNP calling using single-sample next generati |
| R-ecan | 0.2.1-lp153.2.2 | Ecological Analysis and Visualization |
| R-ecap | 0.1.2-lp153.9.11 | Excess Certainty Adjusted Probability Estimate |
| R-eCAR | 0.1.2-lp153.1.5 | Eigenvalue CAR Models |
| R-ecb | 0.4.2-lp153.2.4 | Programmatic Access to the European Central Bank\'s Statisti |
| R-Ecdat | 0.4.2-lp153.6.4 | Data sets for econometrics |
| R-ecdfHT | 0.1.1-lp153.17.5 | Empirical CDF for Heavy Tailed Data |
| R-Ecfun | 0.3.2-lp153.6.4 | Functions for \'Ecdat\' |
| R-ech | 0.1.3-lp153.2.5 | Downloading and Processing Microdata from ECH-INE (Uruguay) |
| R-ECharts2Shiny | 0.2.13-lp153.13.2 | Embedding Interactive Charts Generated with ECharts Library |
| R-echarts4r | 0.4.5-lp153.6.2 | Create Interactive Graphs with \'Echarts JavaScript\' Versio |
| R-echarty | 1.6.4-lp153.1.2 | Minimal R/Shiny Interface to JavaScript Library \'ECharts\' |
| R-echelon | 0.2.0-lp153.1.4 | The Echelon Analysis and the Detection of Spatial Clusters u |
| R-eChem | 1.0.0-lp153.2.7 | Simulations for Electrochemistry Experiments |
| R-echo | 0.1.0-lp153.1.5 | Echo Code Evaluations |
| R-echo.find | 4.0.1-lp153.2.13 | Finding Rhythms Using Extended Circadian Harmonic Oscillator |
| R-echogram | 0.1.2-lp153.4.7 | Echogram Visualisation and Analysis |
| R-echor | 0.1.9-lp153.2.2 | Access EPA \'ECHO\' Data |
| R-ecipex | 1.1-lp153.2.13 | Efficient Calculation of Fine Structure Isotope Patterns via |
| R-ECLRMC | 1.0-lp153.2.13 | Ensemble Correlation-Based Low-Rank Matrix Completion |
| R-ecm | 7.2.0-lp153.3.2 | Build Error Correction Models |
| R-eco | 4.0.3-lp153.1.7 | Ecological Inference in 2x2 Tables |
| R-ecochange | 2.9.3.2-lp153.1.2 | Integrating Ecosystem Remote Sensing Products to Derive EBV |
| R-ecodist | 2.1.3-lp153.2.4 | Dissimilarity-based functions for ecological analysis |
| R-Ecohydmod | 1.0.0-lp153.2.13 | Ecohydrological Modelling |
| R-EcoHydRology | 0.4.12.1-lp153.3.12 | A Community Modeling Foundation for Eco-Hydrology |
| R-EcoIndR | 2.0-lp153.1.4 | Ecological Indicators |
| R-ECoL | 0.3.0-lp153.8.4 | Complexity Measures for Supervised Problems |
| R-ecolMod | 1.2.6.4-lp153.1.7 | \"A Practical Guide to Ecological Modelling - Using R as a S |
| R-ecolottery | 1.0.0-lp153.11.5 | Coalescent-Based Simulation of Ecological Communities |
| R-ecolRxC | 0.1.1.10-lp153.1.5 | Ecological Inference of RxC Tables by Latent Structure Appro |
| R-ecolTest | 0.0.1-lp153.1.13 | Community Ecology Tests |
| R-EconAndProdEfficiency | 0.1.0-lp153.2.2 | Economic and Production Efficiency |
| R-EconDemand | 1.0-lp153.2.13 | General Analysis of Various Economics Demand Systems |
| R-econet | 1.0.0-lp153.1.9 | Estimation of Parameter-Dependent Network Centrality Measure |
| R-EcoNetGen | 0.2.4-lp153.2.4 | Simulate and Sample from Ecological Interaction Networks |
| R-EconGeo | 2.0-lp153.1.5 | Computing Key Indicators of the Spatial Distribution of Econ |
| R-economiccomplexity | 1.5.0-lp153.3.4 | Computational Methods for Economic Complexity |
| R-econullnetr | 0.2.1-lp153.14.4 | Null Model Analysis for Ecological Networks |
| R-ecos | 0.1.6-lp153.1.4 | Economic Statistics System of the Bank of Korea |
| R-ecoseries | 0.1.5-lp153.3.13 | An R Interface to Brazilian Central Bank and Sidra APIs and |
| R-ecosim | 1.3.4-lp153.1.5 | Toolbox for Aquatic Ecosystem Modeling |
| R-EcoSimR | 0.1.0-lp153.2.13 | Null Model Analysis for Ecological Data |
| R-ECOSolveR | 0.5.5-lp153.1.5 | Embedded Conic Solver in R |
| R-ecospace | 1.4.2-lp153.7.7 | Simulating Community Assembly and Ecological Diversification |
| R-ecospat | 4.1.0-lp153.2.2 | Spatial Ecology Miscellaneous Methods |
| R-ecostats | 0.1.4-lp153.9.11 | Code and Data Accompanying the Eco-Stats Text |
| R-ecostatscale | 1.1-lp153.1.5 | Statistical Scaling Functions for Ecological Systems |
| R-ecotox | 1.4.4-lp153.6.5 | Analysis of Ecotoxicology |
| R-ecotoxicology | 1.0.1-lp153.2.13 | Methods for Ecotoxicology |
| R-EcoTroph | 1.6.1-lp153.1.10 | An Implementation of the EcoTroph Ecosystem Modelling Approa |
| R-ecoval | 1.2.9-lp153.1.11 | Procedures for Ecological Assessment of Surface Waters |
| R-EcoVirtual | 1.1-lp153.2.13 | Simulation of Ecological Models |
| R-ECTSVR | 0.1.0-lp153.1.5 | Cointegration Based Support Vector Regression Model |
| R-eCV | 0.0.2-lp153.1.4 | Enhanced Coefficient of Variation and IDR Extensions for Rep |
| R-ed50 | 0.1.1-lp153.2.13 | Estimate ED50 and Its Confidence Interval |
| R-ed50simulation | 0.1.1-lp153.2.13 | Estimate ED50 and Its Confidence Interval |
| R-EDA | 1.3-lp153.14.5 | Energy Decomposition Analysis |
| R-edbuildmapr | 0.3.1-lp153.10.7 | Download School District Geospatial Data, Perform Spatial An |
| R-edbuildr | 0.3.0-lp153.4.11 | Automated School District Data Download and Processing |
| R-edcc | 1.0.0-lp153.2.13 | Economic Design of Control Charts |
| R-edci | 1.1.3-lp153.2.13 | Edge Detection and Clustering in Images |
| R-EDCimport | 0.4.1-lp153.3.2 | Import Data from EDC Software |
| R-edcpR | 1.0.1-lp153.1.12 | Ecological Data Collection and Processing Package |
| R-eddi | 0.0.1-lp153.3.12 | Get Evaporative Demand Drought Index Raster Data |
| R-edeaR | 0.9.4-lp153.4.2 | Exploratory and Descriptive Event-Based Data Analysis |
| R-edecob | 1.2.2-lp153.2.5 | Event Detection Using Confidence Bounds |
| R-edf | 1.0.0-lp153.2.13 | Read Data from European Data Format (EDF and EDF+) Files |
| R-EDFIR | 1.0-lp153.2.12 | Estimating Discrimination Factors |
| R-edfReader | 1.2.1-lp153.2.13 | Reading EDF(+) and BDF(+) Files |
| R-EDFtest | 0.1.0-lp153.1.12 | Goodness of Fit Based on Empirical Distribution Function |
| R-edfun | 0.2.0-lp153.2.13 | Creating Empirical Distribution Functions |
| R-edgar | 2.0.7-lp153.2.2 | Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corpora |
| R-edgarWebR | 1.1.0-lp153.2.4 | SEC Filings Access |
| R-edgebundleR | 0.1.4-lp153.20.2 | Circle Plot with Bundled Edges |
| R-edgeCorr | 1.0-lp153.2.13 | Spatial Edge Correction |
| R-edgedata | 0.2.0-lp153.1.12 | Datasets that Support the EDGE Server DIY Logic |
| R-EDISON | 1.1.1-lp153.2.13 | Network Reconstruction and Changepoint Detection |
| R-editbl | 1.0.5-lp153.2.2 | \'DT\' Extension for CRUD (Create, Read, Update, Delete) App |
| R-editrules | 2.9.5-lp153.2.2 | Parsing, Applying, and Manipulating Data Cleaning Rules |
| R-EDIutils | 1.0.3-lp153.2.4 | An API Client for the Environmental Data Initiative Reposito |
| R-edl | 1.1-lp153.1.12 | Toolbox for Error-Driven Learning Simulations with Two-Layer |
| R-EDMeasure | 1.2.0-lp153.4.7 | Energy-Based Dependence Measures |
| R-EDNE.EQ | 1.0-lp153.2.13 | Implements the EDNE-Test for Equivalence |
| R-EDOIF | 0.1.3-lp153.9.4 | Empirical Distribution Ordering Inference Framework (EDOIF) |
| R-educationdata | 0.1.3-lp153.4.5 | Retrieve Records from the Urban Institute\'s Education Data |
| R-educineq | 0.1.0-lp153.10.10 | Compute and Decompose Inequality in Education |
| R-edwards97 | 0.1.1-lp153.7.2 | Langmuir Semi-Empirical Coagulation Model |
| R-eechidna | 1.4.1-lp153.14.5 | Exploring Election and Census Highly Informative Data Nation |
| R-eegkit | 1.0.4-lp153.17.5 | Toolkit for Electroencephalography Data |
| R-eegkitdata | 1.1-lp153.1.9 | Electroencephalography Toolkit Datasets |
| R-eel | 1.1-lp153.4.11 | Extended Empirical Likelihood |
| R-EEM | 1.1.1-lp153.15.2 | Read and Preprocess Fluorescence Excitation-Emission Matrix |
| R-eemdARIMA | 0.1.0-lp153.2.5 | EEMD Based Auto Regressive Integrated Moving Average Model |
| R-EEMDelm | 0.1.1-lp153.6.4 | Ensemble Empirical Mode Decomposition and Its Variant Based |
| R-EEMDSVR | 0.1.0-lp153.1.7 | Ensemble Empirical Mode Decomposition and Its Variant Based |
| R-eemdTDNN | 0.1.0-lp153.2.5 | EEMD and Its Variant Based Time Delay Neural Network Model |
| R-eemR | 1.0.1-lp153.19.2 | Tools for Pre-Processing Emission-Excitation-Matrix (EEM) Fl |
| R-eesim | 0.1.0-lp153.20.7 | Simulate and Evaluate Time Series for Environmental Epidemio |
| R-EESPCA | 0.7.0-lp153.1.9 | Eigenvectors from Eigenvalues Sparse Principal Component Ana |
| R-EFA.MRFA | 1.1.2-lp153.9.2 | Dimensionality Assessment Using Minimum Rank Factor Analysis |
| R-EFAutilities | 2.1.3-lp153.1.5 | Utility Functions for Exploratory Factor Analysis |
| R-efdm | 0.2.1-lp153.1.5 | Simulate Forest Resources with the European Forestry Dynamic |
| R-effClust | 0.8.0-lp153.3.2 | Calculate Effective Number of Clusters for a Linear Model |
| R-effectFusion | 1.1.3-lp153.2.11 | Bayesian Effect Fusion for Categorical Predictors |
| R-effectR | 1.0.2-lp153.26.2 | Predicts Oomycete Effectors |
| R-effects | 3.0_1-lp154.1.10 | Effect Displays for Linear, Generalized Linear, Multinomial- |
| R-effects | 3.0_1-1.25 | Effect Displays for Linear, Generalized Linear, Multinomial- |
| R-effects | 3.0_1-lp153.1.24 | Effect Displays for Linear, Generalized Linear, Multinomial- |
| R-effects | 3.0_1-lp155.1.5 | Effect Displays for Linear, Generalized Linear, Multinomial- |
| R-effects | 3.0_1-1.53 | Effect Displays for Linear, Generalized Linear, Multinomial- |
| R-effectsizescr | 0.1.0-lp153.2.13 | Indices for Single-Case Research |
| R-EffectsRelBaseline | 0.5-lp153.2.13 | Test changes of a grouped response relative to baseline. |
| R-EffectStars | 1.9.1-lp153.2.13 | Visualization of Categorical Response Models |
| R-EffectStars2 | 0.1.3-lp153.2.13 | Effect Stars |
| R-EffectTreat | 1.1-lp153.2.13 | Prediction of Therapeutic Success |
| R-EfficientMaxEigenpair | 0.1.4-lp153.2.13 | Efficient Initials for Computing the Maximal Eigenpair |
| R-efflog | 1.0-lp153.2.13 | The Causal Effects for a Causal Loglinear Model |
| R-effsize | 0.8.1-lp153.2.13 | Efficient Effect Size Computation |
| R-efreadr | 0.2.2-lp153.12.5 | Read European Eddy Fluxes CSV Files |
| R-eFRED | 0.1.0-lp153.2.12 | Fetch Data from the Federal Reserve Economic Database |
| R-EFS | 1.0.3-lp153.3.7 | Tool for Ensemble Feature Selection |
| R-efts | 0.9.0-lp153.2.12 | High-Level Functions to Read and Write Ensemble Forecast Tim |
| R-ega | 2.0.0-lp153.14.5 | Error Grid Analysis |
| R-EGAnet | 2.0.4-lp153.1.4 | Exploratory Graph Analysis – a Framework for Estimating th |
| R-egcm | 1.0.13-lp153.2.5 | Engle-Granger Cointegration Models |
| R-egg | 0.4.5-lp153.14.5 | Extensions for \'ggplot2\': Custom Geom, Custom Themes, Plot |
| R-eglhmm | 0.1.3-lp153.1.4 | Extended Generalised Linear Hidden Markov Models |
| R-EGM | 0.1.0-lp153.2.2 | Evaluating Cardiac Electrophysiology Signals |
| R-egor | 1.24.2-lp153.3.2 | Import and Analyse Ego-Centered Network Data |
| R-EGRET | 3.0.9-lp153.3.5 | Exploration and Graphics for RivEr Trends |
| R-EGRETci | 2.0.4-lp153.13.5 | Exploration and Graphics for RivEr Trends Confidence Interva |
| R-EGRNi | 0.1.6-lp153.3.5 | Ensemble Gene Regulatory Network Inference |
| R-eGST | 1.0.0-lp153.4.7 | Leveraging eQTLs to Identify Individual-Level Tissue of Inte |
| R-ehaGoF | 0.1.1-lp153.2.13 | Calculates Goodness of Fit Statistics |
| R-ehelp | 1.2.1-lp153.1.7 | Enhanced Help to Enable \"Docstring\"-Comments in Users Func |
| R-eHOF | 1.15-lp153.1.4 | Extended HOF (Huisman-Olff-Fresco) Models |
| R-EHR | 0.4.11-lp153.3.7 | Electronic Health Record (EHR) Data Processing and Analysis |
| R-EHRtemporalVariability | 1.2.1-lp153.4.2 | Delineating Temporal Dataset Shifts in Electronic Health Rec |
| R-ei.Datasets | 0.0.1.3-lp153.5.5 | Real Datasets for Assessing Ecological Inference Algorithms |
| R-eia | 0.4.2-lp153.2.2 | API Wrapper for U.S. Energy Information Administration (\'EI |
| R-EIAapi | 0.1.2-lp153.1.5 | Query Data from the \'EIA\' API |
| R-EIAdata | 0.1.3-lp153.1.11 | R Wrapper for the Energy Information Administration (EIA) AP |
| R-eiCircles | 0.0.1.7-lp153.2.2 | Ecological Inference of RxC Tables by Overdispersed-Multinom |
| R-eicm | 1.0.3-lp153.1.5 | Explicit Interaction Community Models |
| R-eiCompare | 3.0.2-lp153.1.5 | Compares Different Ecological Inference Methods |
| R-eider | 1.0.0-lp153.2.2 | Declarative Feature Extraction from Tabular Data Records |
| R-eigeninv | 2011.8.1-lp153.2.13 | Generates (dense) matrices that have a given set of eigenval |
| R-eigenmodel | 1.11-lp153.2.13 | Semiparametric factor and regression models for symmetric re |
| R-eigenprcomp | 1.0-lp153.2.13 | Computes confidence intervals for principal components |
| R-eikosograms | 0.1.1-lp153.3.7 | The Picture of Probability |
| R-EILA | 0.1.2-lp153.4.11 | Efficient Inference of Local Ancestry |
| R-einet | 0.1.0-lp153.17.2 | Effective Information and Causal Emergence |
| R-eiopaR | 0.1.1-lp153.1.12 | Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA |
| R-eivtools | 0.1.8-lp153.4.2 | Measurement Error Modeling Tools |
| R-EIX | 1.2.0-lp153.16.2 | Explain Interactions in \'XGBoost\' |
| R-eixport | 0.6.0-lp153.1.4 | Export Emissions to Atmospheric Models |
| R-EKMCMC | 1.1.2-lp153.1.12 | MCMC Procedures for Estimating Enzyme Kinetics Constants |
| R-EL | 1.2-lp153.2.7 | Two-Sample Empirical Likelihood |
| R-EL2Surv | 1.1-lp153.2.13 | Empirical Likelihood (EL) for Comparing Two Survival Functio |
| R-elasdics | 1.1.3-lp153.1.4 | Elastic Analysis of Sparse, Dense and Irregular Curves |
| R-elasso | 1.1-lp153.10.2 | Enhanced Least Absolute Shrinkage and Selection Operator Reg |
| R-elastic | 1.2.0-lp153.2.7 | General Purpose Interface to \'Elasticsearch\' |
| R-elasticIsing | 0.2-lp153.14.9 | Ising Network Estimation using Elastic Net and k-Fold Cross- |
| R-elasticnet | 1.3-lp153.2.13 | Elastic-Net for Sparse Estimation and Sparse PCA |
| R-elasticsearchr | 0.3.1-lp153.7.12 | A Lightweight Interface for Interacting with Elasticsearch f |
| R-elec | 0.1.2.2-lp153.1.9 | Collection of Functions for Statistical Election Audits |
| R-elec.strat | 0.1.1-lp153.2.13 | Functions for election audits using stratified random sample |
| R-EleChemr | 1.2.0-lp153.10.5 | Electrochemical Reactions Simulation |
| R-elections | 1.0.1-lp153.1.4 | USA Presidential Elections Data |
| R-electionsBR | 0.4.0-lp153.1.4 | R Functions to Download and Clean Brazilian Electoral Data |
| R-ElectionsLATAM | 0.1.1-lp153.1.10 | Statistics Methods for Applying in LATAM Elections |
| R-electivity | 1.0.2-lp153.2.13 | Algorithms for Electivity Indices |
| R-electoral | 0.1.3-lp153.5.7 | Allocating Seats Methods and Party System Scores |
| R-elevatr | 0.99.0-lp153.2.4 | Access Elevation Data from Various APIs |
| R-ElevDistr | 1.0.8-lp153.2.2 | Calculate the Distance to the Nearest Local Treeline |
| R-elexr | 1.0-lp153.2.13 | Load Associated Press Election Results with Elex |
| R-elfgen | 2.3.3-lp153.4.8 | Ecological Limit Function Model Generation and Analysis Tool |
| R-ELISAtools | 0.1.5-lp153.5.2 | ELISA Data Analysis with Batch Correction |
| R-elisr | 0.1.1-lp153.1.12 | Exploratory Likert Scaling |
| R-eList | 0.2.0-lp153.1.13 | List Comprehension and Tools |
| R-elitism | 1.1.1-lp153.1.5 | Equipment for Logarithmic and Linear Time Stepwise Multiple |
| R-elliplot | 1.3.0-lp153.1.10 | Ellipse Summary Plot of Quantiles |
| R-ellipse | 0.3_8-1.38 | Functions for drawing ellipses and ellipse-like confidence r |
| R-ellipse | 0.3_8-1.28 | Functions for drawing ellipses and ellipse-like confidence r |
| R-ellipse | 0.5.0-lp153.1.5 | Functions for drawing ellipses and ellipse-like confidence r |
| R-ellipse | 0.3_8-lp153.1.26 | Functions for drawing ellipses and ellipse-like confidence r |
| R-ellipse | 0.3_8-lp154.1.10 | Functions for drawing ellipses and ellipse-like confidence r |
| R-ellipse | 0.3_8-lp155.1.5 | Functions for drawing ellipses and ellipse-like confidence r |
| R-ellipsis | 0.3.1-lp155.1.5 | Tools for working with ellipsis |
| R-ellipsis | 0.3.1-lp153.1.26 | Tools for working with ellipsis |
| R-ellipsis | 0.3.1-lp154.1.10 | Tools for working with ellipsis |
| R-ellipsis | 0.3.1-1.28 | Tools for working with ellipsis |
| R-ellipsis | 0.3.1-1.34 | Tools for working with ellipsis |
| R-ellipsis | 0.3.2-lp153.2.5 | Tools for Working with ... |
| R-elliptic | 1.3_7-lp154.1.10 | elliptic functions |
| R-elliptic | 1.3_7-1.38 | elliptic functions |
| R-elliptic | 1.3_7-lp155.1.5 | elliptic functions |
| R-elliptic | 1.3_7-1.28 | elliptic functions |
| R-elliptic | 1.4.0-lp153.2.13 | Weierstrass and Jacobi Elliptic Functions |
| R-elliptic | 1.3_7-lp153.1.26 | elliptic functions |
| R-ellipticalsymmetry | 0.1.2-lp153.4.2 | Elliptical Symmetry Tests |
| R-ELMR | 1.0-lp153.2.13 | Extreme Machine Learning (ELM) |
| R-ELMSO | 1.0.1-lp153.2.13 | Implementation of the Efficient Large-Scale Online Display A |
| R-EloOptimized | 0.3.2-lp153.2.2 | Optimized Elo Rating Method for Obtaining Dominance Ranks |
| R-elrm | 1.2.5-lp153.1.12 | Exact Logistic Regression via MCMC |
| R-elsa | 1.1.28-lp153.6.4 | Entropy-Based Local Indicator of Spatial Association |
| R-ElstonStewart | 1.2-lp153.4.7 | Elston-Stewart Algorithm |
| R-eltr | 0.1.0-lp153.1.13 | Utilise Catastrophe Model Event Loss Table Outputs |
| R-ELYP | 0.7.5-lp153.2.13 | Empirical Likelihood Analysis for the Cox Model and Yang-Pre |
| R-EM.Fuzzy | 1.0-lp153.2.13 | EM Algorithm for Maximum Likelihood Estimation by Non-Precis |
| R-emailjsr | 0.0.2-lp153.5.2 | \'emailjs\' Support |
| R-emailvalidation | 0.1.0-lp153.1.5 | Client for the \'emailalvalidation.io\' E-Mail Validation AP |
| R-EMAR | 1.0.0-lp153.1.4 | Empirical Model Assessment |
| R-EMAtools | 0.1.4-lp153.15.2 | Data Management Tools for Real-Time Monitoring/Ecological Mo |
| R-emba | 0.1.8-lp153.14.5 | Ensemble Boolean Model Biomarker Analysis |
| R-EmbedSOM | 2.1.2-lp153.11.2 | Fast Embedding Guided by Self-Organizing Map |
| R-EMC | 1.3-lp153.2.13 | Evolutionary Monte Carlo (EMC) algorithm |
| R-EMD | 1.5.9-lp153.8.5 | Empirical Mode Decomposition and Hilbert Spectral Analysis |
| R-emdbook | 1.3.12-lp153.2.13 | Support Functions and Data for \"Ecological Models and Data\ |
| R-emdist | 0.3.3-lp153.1.5 | Earth Mover\'s Distance |
| R-EMDSVRhybrid | 0.2.0-lp153.1.5 | Empirical Mode Decomposition Based Support Vector Regression |
| R-emery | 0.5.1-lp153.1.4 | Accuracy Statistic Estimation for Imperfect Gold Standards |
| R-emg | 1.0.9-lp153.2.13 | Exponentially Modified Gaussian (EMG) Distribution |
| R-emhawkes | 0.9.7-lp153.1.7 | Exponential Multivariate Hawkes Model |
| R-EmissV | 0.665.6.6-lp153.2.4 | Tools for Create Emissions for Air Quality Models |
| R-EmiStatR | 1.2.3.0-lp153.1.12 | Emissions and Statistics in R for Wastewater and Pollutants |
| R-EMJMCMC | 1.5.0-lp153.2.2 | Evolutionary Mode Jumping Markov Chain Monte Carlo Expert To |
| R-eMLEloglin | 1.0.1-lp153.3.7 | Fitting log-Linear Models in Sparse Contingency Tables |
| R-EMLI | 0.2.0-lp153.1.7 | Computationally Efficient Maximum Likelihood Identification |
| R-emma | 0.1.0-lp153.13.11 | Evolutionary model-based multiresponse approach |
| R-EMMAgeo | 0.9.7-lp153.13.2 | End-Member Modelling of Grain-Size Data |
| R-emme2 | 0.9-lp153.2.13 | Read and Write to an EMME/2 databank |
| R-emmeans | 1.2.3-lp155.1.5 | Estimated Marginal Means, aka Least-Squares Means |
| R-emmeans | 1.2.3-lp154.1.10 | Estimated Marginal Means, aka Least-Squares Means |
| R-emmeans | 1.2.3-1.25 | Estimated Marginal Means, aka Least-Squares Means |
| R-emmeans | 1.2.3-lp153.1.24 | Estimated Marginal Means, aka Least-Squares Means |
| R-emmeans | 1.2.3-1.55 | Estimated Marginal Means, aka Least-Squares Means |
| R-emmeans-doc | 1.2.3-lp155.1.5 | Documentation for R-emmeans |
| R-emmeans-doc | 1.2.3-lp154.1.10 | Documentation for R-emmeans |
| R-emmeans-doc | 1.2.3-lp153.1.24 | Documentation for R-emmeans |
| R-emmeans-doc | 1.2.3-1.25 | Documentation for R-emmeans |
| R-emmeans-doc | 1.2.3-1.55 | Documentation for R-emmeans |
| R-EMMIXmfa | 2.0.14-lp153.1.4 | Mixture Models with Component-Wise Factor Analyzers |
| R-EMMIXSSL | 1.1.1-lp153.1.8 | Semi-Supervised Gaussian Mixture Model with a Missing-Data M |
| R-EMMLi | 0.0.3-lp153.2.13 | A Maximum Likelihood Approach to the Analysis of Modularity |
| R-EMMREML | 3.1-lp153.2.13 | Fitting Mixed Models with Known Covariance Structures |
| R-emoji | 15.0-lp153.4.2 | Data and Function to Work with Emojis |
| R-emon | 1.3.2-lp153.2.13 | Tools for Environmental and Ecological Survey Design |
| R-emov | 0.1.1-lp153.2.13 | Eye Movement Analysis Package for Fixation and Saccade Detec |
| R-EMP | 2.0.5-lp153.3.12 | Expected Maximum Profit Classification Performance Measure |
| R-EMpeaksR | 0.3.1-lp153.1.5 | Conducting the Peak Fitting Based on the EM Algorithm |
| R-emphatic | 0.1.8-lp153.2.2 | Exploratory Analysis of Tabular Data using Colour Highlighti |
| R-emplik | 1.3.1-lp153.1.5 | Empirical Likelihood Ratio for Censored/Truncated Data |
| R-emplikAUC | 0.4-lp153.2.2 | Empirical Likelihood Ratio Test/Confidence Interval for AUC |
| R-ems | 1.3.11-lp153.22.2 | Epimed Solutions Collection for Data Editing, Analysis, and |
| R-EMSaov | 2.3-lp153.13.2 | The Analysis of Variance with EMS |
| R-EMSC | 0.9.4-lp153.2.2 | Extended Multiplicative Signal Correction |
| R-EMSNM | 1.0-lp153.2.13 | EM Algorithm for Sigmoid Normal Model |
| R-EMT | 1.3.1-lp153.2.2 | Exact Multinomial Test: Goodness-of-Fit Test for Discrete Mu |
| R-emulator | 1.2.24-lp153.2.2 | Bayesian Emulation of Computer Programs |
| R-emuR | 2.1.1-lp153.3.11 | Main Package of the EMU Speech Database Management System |
| R-enc | 0.2.2-lp153.2.13 | Portable Tools for \'UTF-8\' Character Data |
| R-encode | 0.3.6-lp153.2.13 | Represent Ordered Lists and Pairs as Strings |
| R-EncompassTest | 0.22-lp153.1.4 | Direct Multi-Step Forecast Based Comparison of Nested Models |
| R-encryptr | 0.1.3-lp153.16.5 | Easily Encrypt and Decrypt Data Frame/Tibble Columns or File |
| R-endogenous | 1.0-lp153.2.13 | Classical Simultaneous Equation Models |
| R-endorse | 1.6.2-lp153.1.9 | Bayesian Measurement Models for Analyzing Endorsement Experi |
| R-endtoend | 2.29-lp153.14.5 | Transmissions and Receptions in an End to End Network |
| R-EnergyOnlineCPM | 1.0-lp153.4.7 | Distribution Free Multivariate Control Chart Based on Energy |
| R-enetLTS | 1.1.0-lp153.6.7 | Robust and Sparse Methods for High Dimensional Linear and Bi |
| R-english | 1.2.6-lp153.1.12 | Translate Integers into English |
| R-EngrEcon | 1.0.0-lp153.2.2 | Engineering Economics Analysis for Engineering Projects Cost |
| R-engression | 0.1.4-lp153.3.4 | Engression Modelling |
| R-EngrExpt | 0.1.8-lp153.2.13 | Data sets from \"Introductory Statistics for Engineering Exp |
| R-engsoccerdata | 0.1.5-lp153.14.7 | English and European Soccer Results 1871-2016 |
| R-ENMeval | 2.0.4-lp153.8.5 | Automated Tuning and Evaluations of Ecological Niche Models |
| R-ENmisc | 1.2_7-2.54 | Neuwirth miscellaneous |
| R-ENmisc | 1.2_7-2.25 | Neuwirth miscellaneous |
| R-ENmisc | 1.2_7-lp153.2.24 | Neuwirth miscellaneous |
| R-enmSdmX | 1.0.0-lp153.2.7 | Species Distribution Modeling and Ecological Niche Modeling |
| R-ENMTools | 1.1.1-lp153.3.5 | Analysis of Niche Evolution using Niche and Distribution Mod |
| R-ennet | 0.2.2-lp153.1.12 | Utilities to Extract and Analyse Text Data from the Emergenc |
| R-enpls | 6.1-lp153.28.2 | Ensemble Partial Least Squares Regression |
| R-enRich | 3.1-lp153.2.13 | Analysis of Multiple ChIP-Seq Data |
| R-EnrichIntersect | 0.7-lp153.3.2 | Enrichment Analysis and Intersecting Sankey Diagram |
| R-enrichR | 3.2-lp153.1.5 | Provides an R Interface to \'Enrichr\' |
| R-enrichwith | 0.3.1-lp153.2.13 | Methods to Enrich R Objects with Extra Components |
| R-EnsCat | 1.1-lp153.14.7 | Clustering of Categorical Data |
| R-ensembleBMA | 5.1.8-lp153.1.8 | Probabilistic Forecasting using Ensembles and Bayesian Model |
| R-ensembleMOS | 0.8.2-lp153.2.13 | Ensemble Model Output Statistics |
| R-ensemblepp | 1.0.0-lp153.2.13 | Ensemble Postprocessing Data Sets |
| R-ensembleR | 0.1.0-lp153.26.2 | Ensemble Models in R |
| R-ensemblQueryR | 0.1.0-lp153.1.5 | Simple, Fast and Efficient Querying of the \'Ensembl\' API |
| R-enshuman | 1.0.0-lp153.1.4 | Human Gene Annotation Data from \'Ensembl\' |
| R-ensModelVis | 0.1.0-lp153.6.7 | Visualisations for Model Ensembles |
| R-ensr | 0.1.0-lp153.15.7 | Elastic Net SearcheR |
| R-ensurer | 1.1-lp153.2.13 | Ensure Values at Runtime |
| R-entcn | 1.0.0-lp153.1.11 | Translate English Words into Chinese Words |
| R-entropy | 1.3.1-lp153.1.12 | Estimation of Entropy, Mutual Information and Related Quanti |
| R-EntropyExplorer | 1.1-lp153.2.13 | Tools for Exploring Differential Shannon Entropy, Differenti |
| R-EntropyMCMC | 1.0.4-lp153.17.2 | MCMC Simulation and Convergence Evaluation using Entropy and |
| R-entrymodels | 0.2.1-lp153.13.5 | Estimate Entry Models |
| R-EnvCpt | 1.1.3-lp153.1.13 | Detection of Structural Changes in Climate and Environment T |
| R-envDocument | 2.4.1-lp153.2.13 | Document the R Working Environment |
| R-EnvExpInd | 0.1.0-lp153.13.8 | Environmental Exposure on the Individual Level |
| R-enviPat | 2.6-lp153.1.8 | Isotope Pattern, Profile and Centroid Calculation for Mass S |
| R-enviPick | 1.5-lp153.6.12 | Peak Picking for High Resolution Mass Spectrometry Data |
| R-envir | 0.3.0-lp153.2.2 | Manage R Environments Better |
| R-envirem | 3.0-lp153.2.4 | Generation of ENVIREM Variables |
| R-EnviroPRA | 1.0-lp153.2.13 | Environmental Probabilistic Risk Assessment Tools |
| R-EnviroStat | 0.4.2-lp153.2.13 | Statistical Analysis of Environmental Space-Time Processes |
| R-envlpaster | 0.1.2-lp153.3.12 | Enveloping the Aster Model |
| R-envnames | 0.4.1-lp153.2.13 | Keep Track of User-Defined Environment Names |
| R-EnvNicheR | 1.5-lp153.1.5 | Niche Estimation |
| R-envstat | 0.0.3-lp153.4.4 | Configurable Reporting on your External Compute Environment |
| R-eoa3 | 1.0.0.1-lp153.7.2 | Wildlife Mortality Estimator for Low Fatality Rates and Impe |
| R-eodhd | 1.0.4-lp153.1.4 | Official \'eodhd\' API R Financial Library |
| R-eoR | 0.4.0-lp153.2.13 | Data Management Package (Exposure and Occurrence Data in R) |
| R-epade | 0.5.1-lp153.15.2 | Easy Plots |
| R-epandist | 1.1.1-lp153.2.13 | Statistical Functions for the Censored and Uncensored Epanec |
| R-epanet2toolkit | 1.0.5-lp153.2.2 | Call \'EPANET\' Functions to Simulate Pipe Networks |
| R-epanetReader | 0.7.3-lp153.2.13 | Read Epanet Files into R |
| R-epca | 1.1.0-lp153.1.5 | Exploratory Principal Component Analysis |
| R-epcc | 1.4.7-lp153.15.5 | Simulating Populations of Ectotherms under Global Warming |
| R-epe4md | 0.1.4-lp153.3.2 | EPE\'s 4MD Model to Forecast the Adoption of Distributed Gen |
| R-EPGMr | 1.0.0-lp153.2.12 | Implementation of the Everglades Phosphorus Gradient Model |
| R-epibasix | 1.5-lp153.2.13 | Elementary Epidemiological Functions for Epidemiology and Bi |
| R-epicalc | 2.15.1.0-lp153.2.23 | Epidemiological calculator |
| R-epicalc | 2.15.1.0-lp154.2.10 | Epidemiological calculator |
| R-epicalc | 2.15.1.0-lp155.2.5 | Epidemiological calculator |
| R-epicalc | 2.15.1.0-2.38 | Epidemiological calculator |
| R-epicalc | 2.15.1.0-2.25 | Epidemiological calculator |
| R-epicontacts | 1.1.4-lp153.2.2 | Handling, Visualisation and Analysis of Epidemiological Cont |
| R-EpiCurve | 2.4.2-lp153.11.2 | Plot an Epidemic Curve |
| R-epidata | 0.4.0-lp153.15.4 | Tools to Retrieve Economic Policy Institute Data Library Ext |
| R-epiDisplay | 3.5.0.1-lp153.2.13 | Epidemiological Data Display Package |
| R-epidm | 1.0.4-lp153.6.2 | UK Epidemiological Data Management |
| R-EpiDynamics | 0.3.1-lp153.16.2 | Dynamic Models in Epidemiology |
| R-epifitter | 0.3.0-lp153.17.2 | Analysis and Simulation of Plant Disease Progress Curves |
| R-epiflows | 0.2.1-lp153.11.2 | Predicting Disease Spread from Flow Data |
| R-epigraphdb | 0.2.3-lp153.6.7 | Interface Package for the \'EpiGraphDB\' Platform |
| R-epiGWAS | 1.0.2-lp153.7.11 | Robust Methods for Epistasis Detection |
| R-EpiILM | 1.5.2-lp153.4.7 | Spatial and Network Based Individual Level Models for Epidem |
| R-EpiILMCT | 1.1.7-lp153.6.4 | Continuous Time Distance-Based and Network-Based Individual |
| R-epimdr | 0.6.5-lp153.13.2 | Functions and Data for \"Epidemics: Models and Data in R\" |
| R-epimdr2 | 1.0.9-lp153.10.2 | Functions and Data for \"Epidemics: Models and Data in R (2n |
| R-epinet | 2.1.11-lp153.1.4 | Epidemic/Network-Related Tools |
| R-epiR | 0.9_59-1.26 | An R package for the analysis of epidemiological data |
| R-epiR | 0.9_59-lp153.1.25 | An R package for the analysis of epidemiological data |
| R-epiR | 0.9_59-1.38 | An R package for the analysis of epidemiological data |
| R-epiR | 0.9_59-lp155.1.5 | An R package for the analysis of epidemiological data |
| R-epiR | 0.9_59-lp154.1.10 | An R package for the analysis of epidemiological data |
| R-episcan | 0.0.1-lp153.2.13 | Scan Pairwise Epistasis |
| R-episensr | 0.9.6-lp153.5.13 | Basic Sensitivity Analysis of Epidemiological Results |
| R-episplineDensity | 0.0.1-lp153.3.11 | Density Estimation with Soft Information by Exponential Epi- |
| R-epistasis | 0.0.1.1-lp153.4.5 | Detecting Epistatic Selection with Partially Observed Genoty |
| R-EpistemicGameTheory | 0.1.2-lp153.2.13 | Constructing an Epistemic Model for the Games with Two Playe |
| R-epitab | 0.2.2-lp153.26.2 | Flexible Contingency Tables for Epidemiology |
| R-EpiTest | 1.0.0-lp153.4.2 | Test for Gene x Gene Interactions in Bi-Parental Populations |
| R-epitools | 0.5.10.1-lp153.2.13 | Epidemiology Tools |
| R-epiworldRShiny | 0.1.0-lp153.1.2 | A \'shiny\' Wrapper of the R Package \'epiworldR\' |
| R-Eplot | 1.0-lp153.2.13 | Plotting longitudinal series |
| R-eplusr | 0.16.2-lp153.3.2 | A Toolkit for Using Whole Building Simulation Program \'Ener |
| R-eply | 0.1.2-lp153.2.13 | Apply a Function Over Expressions |
| R-epmrob | 0.1-lp153.1.5 | Robust Estimation of Probit Models with Endogeneity |
| R-epo | 0.1.0-lp153.1.5 | Enhanced Portfolio Optimization (EPO) |
| R-epoc | 0.2.6.1.1-lp153.2.13 | Endogenous Perturbation Analysis of Cancer |
| R-epocakir | 0.9.9-lp153.4.2 | Clinical Coding of Patients with Kidney Disease |
| R-eponge | 0.1.0-lp153.3.5 | Keep Your Environment Clean |
| R-epoxy | 1.0.0-lp153.5.2 | String Interpolation for Documents, Reports and Apps |
| R-epsiwal | 0.1.0-lp153.2.13 | Exact Post Selection Inference with Applications to the Lass |
| R-EPT | 0.7.6-lp153.1.11 | Ensemble Patch Transform, Visualization and Decomposition |
| R-epwshiftr | 0.1.4-lp153.2.2 | Create Future \'EnergyPlus\' Weather Files using \'CMIP6\' D |
| R-EPX | 1.0.4-lp153.1.12 | Ensemble of Phalanxes |
| R-epxToR | 0.4.1-lp153.2.12 | Import \'Epidata\' XML Files \'.epx\' |
| R-eq5dsuite | 1.0.0-lp153.2.2 | Manipulating and Analysing EQ-5d Data |
| R-EQL | 1.0.1-lp153.2.13 | Extended-Quasi-Likelihood-Function (EQL) |
| R-eqs2lavaan | 3.0-lp153.4.9 | EQS Output Conversion to lavaan Functions |
| R-eqtl | 1.1.7-lp153.2.13 | Tools for analyzing eQTL experiments: A complementary to Kar |
| R-equalCovs | 1.0-lp153.2.13 | Testing the Equality of Two Covariance Matrices |
| R-Equalden.HD | 1.2-lp153.2.13 | Testing the Equality of a High Dimensional Set of Densities |
| R-equaltestMI | 0.6.1-lp153.3.7 | Examine Measurement Invariance via Equivalence Testing and P |
| R-equate | 2.0.8-lp153.1.9 | Observed-Score Linking and Equating |
| R-equatiomatic | 0.3.3-lp153.2.2 | Transform Models into \'LaTeX\' Equations |
| R-equil2 | 1.0.0-lp153.2.7 | Calculate Urinary Saturation with the EQUIL2 Algorithm |
| R-EquiSurv | 0.1.0-lp153.2.13 | Modeling, Confidence Intervals and Equivalence of Survival C |
| R-equivalence | 0.7.2-lp153.15.5 | Provides tests and graphics for assessing tests of equivalen |
| R-equivalenceTest | 0.0.1.1-lp153.5.7 | Equivalence Test for the Means of Two Normal Distributions |
| R-EQUIVNONINF | 1.0.2-lp153.1.12 | Testing for Equivalence and Noninferiority |
| R-equivUMP | 0.1.1-lp153.2.13 | Uniformly Most Powerful Invariant Tests of Equivalence |
| R-ER | 1.1.1-lp153.1.2 | Effect + Residual Modelling |
| R-era | 0.4.1-lp153.2.5 | Year-Based Time Scales |
| R-erah | 2.0.1-lp153.2.4 | Automated Spectral Deconvolution, Alignment, and Metabolite |
| R-erboost | 1.4-lp153.1.4 | Nonparametric Multiple Expectile Regression via ER-Boost |
| R-ercv | 1.0.1-lp153.2.13 | Fitting Tails by the Empirical Residual Coefficient of Varia |
| R-ERDbuilder | 1.0.0-lp153.2.2 | Entity Relationship Diagrams Builder |
| R-erfe | 0.0.1-lp153.2.7 | Fits Expectile Regression for Panel Fixed Effect Model |
| R-ergMargins | 1.3-lp153.2.2 | Process Analysis for Exponential Random Graph Models |
| R-ergmharris | 1.0-lp153.2.13 | Local Health Department network data set |
| R-ERP | 2.2-lp153.3.9 | Significance Analysis of Event-Related Potentials Data |
| R-erp.easy | 1.1.0-lp153.3.7 | Event-Related Potential (ERP) Data Exploration Made Easy |
| R-ERPeq | 0.1.0-lp153.1.5 | Probabilistic Hazard Assessment |
| R-ERPM | 0.2.0-lp153.2.2 | Exponential Random Partition Models |
| R-erpR | 0.2.0-lp153.1.12 | Event-related potentials (ERP) analysis, graphics and utilit |
| R-err | 0.2.0-lp153.2.13 | Customizable Object Sensitive Messages |
| R-erratum | 2.2.0-lp153.1.11 | Handle Error and Warning Messages |
| R-errint | 1.0-lp153.2.13 | Builds Error Intervals |
| R-errorist | 0.1.2-lp153.1.4 | Automatically Search Errors or Warnings |
| R-errorizer | 0.2.1-lp153.2.13 | Function Errorizer |
| R-errorlocate | 1.1.1-lp153.1.5 | Locate Errors with Validation Rules |
| R-ES | 1.0-lp153.2.13 | Edge Selection |
| R-es.dif | 1.0.2-lp153.2.13 | Compute Effect Sizes of the Difference |
| R-esaBcv | 1.2.1.1-lp153.1.8 | Estimate Number of Latent Factors and Factor Matrix for Fact |
| R-esaps | 0.2.2-lp153.13.2 | Indicators of Electoral Systems and Party Systems |
| R-esback | 0.3.1-lp153.1.5 | Expected Shortfall Backtesting |
| R-esc | 0.5.1-lp153.2.13 | Effect Size Computation for Meta Analysis |
| R-EScvtmle | 0.0.2-lp153.3.2 | Experiment-Selector CV-TMLE for Integration of Observational |
| R-esDesign | 1.0.3-lp153.1.12 | Adaptive Enrichment Designs with Sample Size Re-Estimation |
| R-ESEA | 1.0-lp153.3.12 | ESEA: Discovering the Dysregulated Pathways based on Edge Se |
| R-esem | 2.0.0-lp153.2.2 | Exploratory Structural Equation Modeling ESEM |
| R-ESG | 1.3-lp153.1.5 | A Package for Asset Projection |
| R-eshrink | 0.1.2-lp153.4.7 | Shrinkage for Effect Estimation |
| R-eSIR | 0.4.2-lp153.8.2 | Extended State-Space SIR Models |
| R-esmisc | 0.0.3-lp153.17.4 | Misc Functions of Eduard Szöcs |
| R-esmprep | 0.2.0-lp153.6.7 | Data Preparation During and After the Use of the Experience |
| R-essentials | 0.1.0-lp153.1.13 | Essential Functions not Included in Base R |
| R-essurvey | 1.0.8-lp153.9.4 | Download Data from the European Social Survey on the Fly |
| R-estatapi | 0.4.0-lp153.14.5 | R Interface to e-Stat API |
| R-EstCRM | 1.6-lp153.16.2 | Calibrating Parameters for the Samejima\'s Continuous IRT Mo |
| R-estimability | 1.3-1.38 | Tools for determining estimability of linear functions |
| R-estimability | 1.3-1.29 | Tools for determining estimability of linear functions |
| R-estimability | 1.3-lp154.1.10 | Tools for determining estimability of linear functions |
| R-estimability | 1.3-lp153.1.26 | Tools for determining estimability of linear functions |
| R-estimability | 1.5.1-lp153.2.2 | Tools for Assessing Estimability of Linear Predictions |
| R-estimability | 1.3-lp155.1.5 | Tools for determining estimability of linear functions |
| R-estimateW | 0.0.1-lp153.2.7 | Estimation of Spatial Weight Matrices |
| R-EstimationTools | 4.0.0-lp153.4.2 | Maximum Likelihood Estimation for Probability Functions from |
| R-estimators | 0.8.5-lp153.2.2 | Parameter Estimation |
| R-estimraw | 1.0.0-lp153.13.7 | Estimation of Four-Fold Table Cell Frequencies (Raw Data) fr |
| R-estmeansd | 1.0.1-lp153.1.4 | Estimating the Sample Mean and Standard Deviation from Commo |
| R-estout | 1.2-lp153.2.13 | Estimates Output |
| R-estprod | 1.2-lp153.2.13 | Estimation of Production Functions |
| R-EstSimPDMP | 1.2-lp153.2.13 | Estimation and Simulation for PDMPs |
| R-esvis | 0.3.1-lp153.31.2 | Visualization and Estimation of Effect Sizes |
| R-et.nwfva | 0.1.1-lp153.1.7 | Forest Yield Tables for Northwest Germany and their Applicat |
| R-etable | 1.3.1-lp153.22.2 | Easy Table |
| R-etasFLP | 2.2.2-lp153.2.5 | Mixed FLP and ML Estimation of ETAS Space-Time Point Process |
| R-ETC | 1.5-lp153.1.11 | Equivalence to Control |
| R-ethnobotanyR | 0.1.9-lp153.5.2 | Calculate Quantitative Ethnobotany Indices |
| R-etl | 0.4.1-lp153.4.2 | Extract-Transform-Load Framework for Medium Data |
| R-ETLUtils | 1.5-lp153.2.13 | Utility Functions to Execute Standard Extract/Transform/Load |
| R-etma | 1.1.1-lp153.2.13 | Epistasis Test in Meta-Analysis |
| R-etrader | 0.1.5-lp153.3.4 | \'ETRADE\' API Interface for R |
| R-etree | 0.1.0-lp153.8.4 | Classification and Regression with Structured and Mixed-Type |
| R-etrm | 1.0.1-lp153.8.2 | Energy Trading and Risk Management |
| R-etrunct | 0.1-lp153.2.13 | Computes Moments of Univariate Truncated t Distribution |
| R-etwfe | 0.4.0-lp153.3.2 | Extended Two-Way Fixed Effects |
| R-EuclideanSD | 0.1.0-lp153.10.2 | An Euclidean View of Center and Spread |
| R-eufmdis.adapt | 0.1.0-lp153.6.2 | Analyse \'EuFMDiS\' Output Files via a Shiny App |
| R-EUfootball | 0.0.1-lp153.1.9 | Football Match Data of European Leagues |
| R-eunis.habitats | 0.1.0-lp153.1.5 | EUNIS Habitat Classification |
| R-eurocordexr | 0.2.4-lp153.1.5 | Makes it Easier to Work with Daily \'netCDF\' from EURO-CORD |
| R-euroleaguer | 0.2.0-lp153.2.2 | \'Euroleague basketball API\' |
| R-europeanaR | 0.1.0-lp153.1.9 | Interact with Metadata Records and Media on the Europeana Re |
| R-europepmc | 0.4.3-lp153.3.2 | R Interface to the Europe PubMed Central RESTful Web Service |
| R-europop | 0.3.1-lp153.2.13 | Historical Populations of European Cities, 1500-1800 |
| R-EurosarcBayes | 1.1-lp153.13.2 | Bayesian Single Arm Sample Size Calculation Software |
| R-eurostat | 4.0.0-lp153.2.2 | Tools for Eurostat Open Data |
| R-eva | 0.2.6-lp153.12.5 | Extreme Value Analysis with Goodness-of-Fit Testing |
| R-evabic | 0.1.1-lp153.1.8 | Evaluation of Binary Classifiers |
| R-Evacluster | 0.1.0-lp153.1.10 | Evaluation Clustering Methods for Disease Subtypes Diagnosis |
| R-EvalEst | 2024.2.1-lp153.1.4 | Dynamic Systems Estimation - Extensions |
| R-evaluate | 0.14-lp155.2.5 | Parsing and evaluation tools that provide more details than |
| R-evaluate | 0.14-2.28 | Parsing and evaluation tools that provide more details than |
| R-evaluate | 0.14-2.30 | Parsing and evaluation tools that provide more details than |
| R-evaluate | 0.14-lp154.2.10 | Parsing and evaluation tools that provide more details than |
| R-evaluate | 0.14-lp153.2.28 | Parsing and evaluation tools that provide more details than |
| R-EvaluationMeasures | 1.1.0-lp153.2.13 | Collection of Model Evaluation Measure Functions |
| R-evaluator | 0.4.3-lp153.2.12 | Quantified Risk Assessment Toolkit |
| R-EValue | 4.1.3-lp153.11.2 | Sensitivity Analyses for Unmeasured Confounding and Other Bi |
| R-Evapotranspiration | 1.16-lp153.1.11 | Modelling Actual, Potential and Reference Crop Evapotranspir |
| R-EVchargcost | 0.1.0-lp153.1.4 | Computes and Plot the Optimal Charging Strategy for Electric |
| R-evclass | 2.0.2-lp153.1.4 | Evidential Distance-Based Classification |
| R-evclust | 2.0.3-lp153.1.4 | Evidential Clustering |
| R-EvCombR | 0.1.4-lp153.1.9 | Evidence Combination in R |
| R-evdbayes | 1.1.3-lp153.1.5 | Bayesian Analysis in Extreme Value Theory |
| R-event | 1.1.1-lp153.2.13 | Event History Procedures and Models |
| R-eventdataR | 0.3.1-lp153.1.8 | Event Data Repository |
| R-EventDetectGUI | 0.3.0-lp153.28.2 | Graphical User Interface for the \'EventDetectR\' Package |
| R-eventglm | 1.0.2-lp153.2.13 | Regression Models for Event History Outcomes |
| R-eventInterval | 1.3-lp153.2.13 | Sequential Event Interval Analysis |
| R-eventr | 1.0.0-lp153.14.7 | Create Event Based Data Architectures |
| R-events | 0.5-lp153.2.13 | Store and manipulate event data |
| R-eventstudies | 1.2.2-lp153.7.13 | Event Study Analysis |
| R-EventStudy | 0.39.2-lp153.5.3 | Event Study Analysis |
| R-eventTrack | 1.0.3-lp153.1.5 | Event Prediction for Time-to-Event Endpoints |
| R-EventWinRatios | 1.0.0-lp153.1.10 | Event-Specific Win Ratios for Terminal and Non-Terminal Even |
| R-EVI | 0.2.0.0-lp153.1.4 | Epidemic Volatility Index as an Early-Warning Tool |
| R-evian | 2.1.0-lp153.2.13 | Evidential Analysis of Genetic Association Data |
| R-evidenceFactors | 1.8-lp153.2.13 | Reporting Tools for Sensitivity Analysis of Evidence Factors |
| R-evident | 1.0.4-lp153.1.11 | Evidence Factors in Observational Studies |
| R-EviewsR | 0.1.6-lp153.1.4 | A Seamless Integration of \'EViews\' and R |
| R-evilDice | 1.0-lp153.1.5 | Test Dice Sets for Intransitive Properties |
| R-evir | 1.7.4-lp153.2.13 | Extreme Values in R |
| R-evmix | 2.12-lp153.2.13 | Extreme Value Mixture Modelling, Threshold Estimation and Bo |
| R-evobiR | 1.1-lp154.28.1 | Comparative and Population Genetic Analyses |
| R-evobiR | 1.1-lp155.28.1 | Comparative and Population Genetic Analyses |
| R-evobiR | 1.1-lp153.28.1 | Comparative and Population Genetic Analyses |
| R-EvolutionaryGames | 0.1.2-lp153.6.2 | Important Concepts of Evolutionary Game Theory |
| R-Evomorph | 0.9-lp153.22.5 | Evolutionary Morphometric Simulation |
| R-EvoRAG | 2.0-lp153.2.13 | Evolutionary Rates Across Gradients |
| R-evreg | 1.1.1-lp153.2.2 | Evidential Regression |
| R-evtree | 1.0.8-lp153.2.13 | Evolutionary Learning of Globally Optimal Trees |
| R-EW | 1.1-lp153.2.13 | Edgeworth Expansion |
| R-ewoc | 0.3.0-lp153.12.5 | Escalation with Overdose Control |
| R-EWOC2 | 1.0-lp153.2.12 | Escalation with Overdose Control using 2 Drug Combinations |
| R-EwR | 1.4-lp153.4.13 | Econometrics with R |
| R-EWS | 0.2.0-lp153.1.13 | Early Warning System |
| R-exact.n | 1.1.1-lp153.1.4 | Exact Samples Sizes and Inference for Clinical Trials with B |
| R-exactamente | 0.1.1-lp153.3.2 | Explore the Exact Bootstrap Method |
| R-ExactCIdiff | 2.1-lp153.1.8 | Inductive Confidence Intervals for the Difference Between Tw |
| R-ExactCIone | 1.0.5-lp153.2.2 | Admissible Exact Intervals for One-Dimensional Discrete Dist |
| R-exactLoglinTest | 1.4.2-lp153.2.13 | Monte Carlo Exact Tests for Log-linear models |
| R-exactLTRE | 0.1.0-lp153.1.7 | An Exact Method for Life Table Response Experiment (LTRE) An |
| R-exactmeta | 1.0.2-lp153.2.13 | Exact fixed effect meta analysis |
| R-exactRankTests | 0.8.35-lp153.1.9 | Exact Distributions for Rank and Permutation Tests |
| R-ExamPAData | 0.5.0-lp153.1.12 | Data Sets for Predictive Analytics Exam |
| R-exams.mylearn | 1.4-lp153.17.2 | Question Generation in the \'MyLearn\' XML Format |
| R-exams2learnr | 0.1.0-lp153.13.2 | Interface for \'exams\' Exercises in \'learnr\' Tutorials |
| R-ExceedanceTools | 1.3.6-lp153.1.5 | Confidence/Credible Regions for Exceedance Sets and Contour |
| R-excel2eprime | 0.4.0-lp153.1.4 | Split Sentences by Factors |
| R-exceldata | 0.1.1.3-lp153.2.4 | Streamline Data Import, Cleaning and Recoding from \'Excel\' |
| R-ExcelFunctionsR | 0.1.4-lp153.19.2 | Imports Excel Functions to R |
| R-excelR | 0.4.0-lp153.15.2 | A Wrapper of the \'JavaScript\' Library \'jExcel\' |
| R-excelstrippr | 0.1.2-lp153.15.5 | Extracts Tabular Data from Excel Reports |
| R-excerptr | 2.0.1-lp153.3.11 | Excerpt Structuring Comments from Your Code File and Set a T |
| R-ExcessMass | 1.0.1-lp153.1.9 | Excess Mass Calculation and Plots |
| R-excessmort | 0.7.0-lp153.2.2 | Excess Mortality |
| R-excluder | 0.5.1-lp153.1.4 | Checks for Exclusion Criteria in Online Data |
| R-ExclusionTable | 1.1.0-lp153.1.5 | Creating Tables of Excluded Observations |
| R-exCon | 0.2.5-lp153.2.13 | Interactive Exploration of Contour Data |
| R-exDE | 1.0.0-lp153.1.7 | Extensible Differential Equations for Mosquito-Borne Pathoge |
| R-executablePackeR | 0.0.2-lp153.1.3 | Make \'shiny\' App to Executable Program |
| R-ExNRuleEnsemble | 0.1.1-lp153.2.7 | A k Nearest Neibour Ensemble Based on Extended Neighbourhood |
| R-exoplanets | 0.2.2-lp153.5.8 | Access NASA\'s Exoplanet Archive Data |
| R-ExpAnalysis3d | 0.1.2-lp153.6.2 | Pacote Para Analise De Experimentos Com Graficos De Superfic |
| R-expandFunctions | 0.1.0-lp153.4.7 | Feature Matrix Builder |
| R-ExpDE | 0.1.4-lp153.2.13 | Modular Differential Evolution for Experimenting with Operat |
| R-ExpDes | 1.2.2-lp153.1.12 | Experimental Designs Package |
| R-ExpDes.pt | 1.2.2-lp153.1.12 | Pacote Experimental Designs (Portugues) |
| R-experDesign | 0.4.0-lp153.2.2 | Design Experiments for Batches |
| R-experiment | 1.2.1-lp153.1.10 | R Package for Designing and Analyzing Randomized Experiments |
| R-experimentr | 0.1.0-lp153.1.11 | Datasets Used in Social Science Experiments: A Hands-on Intr |
| R-expert | 1.0.0-lp153.2.13 | Modeling without data using expert opinion |
| R-ExpertChoice | 0.2.0-lp153.18.7 | Design of Discrete Choice and Conjoint Analysis |
| R-expint | 0.1.8-lp153.1.7 | Exponential Integral and Incomplete Gamma Function |
| R-expirest | 0.1.6-lp153.2.2 | Expiry Estimation Procedures |
| R-ExplainPrediction | 1.3.0-lp153.13.2 | Explanation of Predictions for Classification and Regression |
| R-ExplodeLayout | 0.1.2-lp153.6.5 | Calculate Exploded Coordinates Based on Original Node Coordi |
| R-explor | 0.3.10-lp153.7.2 | Interactive Interfaces for Results Exploration |
| R-exploreR | 0.1-lp153.14.5 | Tools for Quickly Exploring Data |
| R-expose | 0.0.3-lp153.7.11 | Multiple Effect Estimation of Chemicals in Environmental Epi |
| R-ExPosition | 2.8.23-lp153.2.13 | Exploratory Analysis with the Singular Value Decomposition |
| R-ExposR | 1.1-lp153.2.4 | Models Topographic Exposure to Hurricane Winds |
| R-expowo | 2.0-lp153.2.2 | Data Mining of Plant Diversity and Distribution |
| R-ExpRep | 1.0-lp153.2.13 | Experiment Repetitions |
| R-exPrior | 1.0.1-lp153.1.13 | Prior Distributions Using a Bayesian Hierarchical Framework |
| R-ExprNet | 1.0.0-lp153.1.5 | Characterizing Differential Expression of Selected Edges on |
| R-expss | 0.11.6-lp153.6.2 | Tables, Labels and Some Useful Functions from Spreadsheets a |
| R-expstudy | 2.0.0-lp153.1.4 | Tools for Actuarial Experience Studies |
| R-exptest | 1.2-lp153.2.13 | Tests for Exponentiality |
| R-exreport | 0.4.1-lp153.15.2 | Fast, Reliable and Elegant Reproducible Research |
| R-EXRQ | 1.0-lp153.5.9 | Extreme Regression of Quantiles |
| R-exsic | 1.1.1-lp153.4.10 | Convenience Functions for Botanists to Create Specimens Indi |
| R-extdplyr | 0.1.5-lp153.14.7 | Data Manipulation Extensions of \'Dplyr\' and \'Tidyr\' |
| R-extendedFamily | 0.2.4-lp153.1.4 | Additional Families for Generalized Linear Models |
| R-exteriorMatch | 1.0.0-lp153.2.13 | Constructs the Exterior Match from Two Matched Control Group |
| R-extfunnel | 1.3-lp153.2.13 | Additional Funnel Plot Augmentations |
| R-extlasso | 0.3-lp153.1.9 | Maximum Penalized Likelihood Estimation with Extended Lasso |
| R-ExtMallows | 0.1.0-lp153.2.13 | An Extended Mallows Model and Its Hierarchical Version for R |
| R-extraBinomial | 2.1-lp153.2.13 | Extra-binomial approach for pooled sequencing data |
| R-ExtractTrainData | 9.1.6-lp153.2.4 | Extract Values from Raster |
| R-extrafont | 0.17-1.24 | Tools for Using Fonts |
| R-extrafont | 0.19-lp153.1.7 | Tools for Using Fonts |
| R-extrafont | 0.17-1.28 | Tools for Using Fonts |
| R-extrafont | 0.17-lp155.1.5 | Tools for Using Fonts |
| R-extrafont | 0.17-lp153.1.23 | Tools for Using Fonts |
| R-extrafont | 0.17-lp154.1.10 | Tools for Using Fonts |
| R-extrafontdb | 1.0-lp154.1.10 | Package for holding the database for the extrafont package |
| R-extrafontdb | 1.0-1.26 | Package for holding the database for the extrafont package |
| R-extrafontdb | 1.0-lp155.1.5 | Package for holding the database for the extrafont package |
| R-extrafontdb | 1.0-1.28 | Package for holding the database for the extrafont package |
| R-extrafontdb | 1.0-lp153.1.24 | Package for holding the database for the extrafont package |
| R-extrafontdb | 1.0-lp153.2.13 | Package for holding the database for the extrafont package |
| R-extraoperators | 0.3.0-lp153.1.4 | Extra Binary Relational and Logical Operators |
| R-extraterrestrial | 0.1.0-lp153.2.13 | Astrobiology Equations Estimating Extraterrestrial Life |
| R-extRC | 1.2-lp153.2.13 | Extended RC Models for Contingency Tables |
| R-ExtremeBounds | 0.1.7-lp153.1.5 | Extreme Bounds Analysis (EBA) |
| R-extremefit | 1.0.2-lp153.2.13 | Estimation of Extreme Conditional Quantiles and Probabilitie |
| R-extremeIndex | 0.0.3-lp153.1.11 | Forecast Verification for Extreme Events |
| R-ExtremeRisks | 0.0.4-lp153.1.12 | Extreme Risk Measures |
| R-extRemes | 2.1.4-lp153.1.4 | Extreme Value Analysis |
| R-extremeStat | 1.5.9-lp153.1.4 | Extreme Value Statistics and Quantile Estimation |
| R-extremis | 1.2.1-lp153.2.7 | Statistics of Extremes |
| R-extremogram | 1.0.2-lp153.2.13 | Estimation of Extreme Value Dependence for Time Series Data |
| R-ExtrPatt | 0.1.4-lp153.1.4 | Spatial Dependencies and Indices for Extremes |
| R-extWeibQuant | 1.1-lp153.2.13 | Estimate Lower Extreme Quantile with the Censored Weibull ML |
| R-eye | 1.2.1-lp153.10.2 | Analysis of Eye Data |
| R-eyedata | 0.1.0-lp153.13.7 | Open Source Ophthalmic Data Sets Curated for R |
| R-eyelinker | 0.2.1-lp153.10.2 | Import ASC Files from EyeLink Eye Trackers |
| R-eyeRead | 0.0.4-lp153.13.2 | Prepare/Analyse Eye Tracking Data for Reading |
| R-eyetracking | 1.1-lp153.2.13 | Eyetracking Helper Functions |
| R-eyetrackingR | 0.2.1-lp153.3.2 | Eye-Tracking Data Analysis |
| R-eyeTrackR | 1.0.1-lp153.7.2 | Organising and Analysing Eye-Tracking Data |
| R-ez.combat | 1.0.0-lp153.1.12 | Easy ComBat Harmonization |
| R-ezcox | 1.0.4-lp153.3.2 | Easily Process a Batch of Cox Models |
| R-ezCutoffs | 1.0.1-lp153.16.4 | Fit Measure Cutoffs in SEM |
| R-ezglm | 1.0-lp153.2.13 | selects significant non-additive interaction between two var |
| R-ezknitr | 0.6.3-lp153.1.5 | Avoid the Typical Working Directory Pain When Using \'knitr\ |
| R-ezmmek | 0.2.4-lp153.17.2 | Easy Michaelis-Menten Enzyme Kinetics |
| R-ezplot | 0.7.13-lp153.1.4 | Functions for Common Chart Types |
| R-ezsim | 0.5.5-lp153.9.11 | provide an easy to use framework to conduct simulation |
| R-EZtune | 3.0.0-lp153.6.11 | Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gr |
| R-fabCI | 0.2-lp153.1.13 | FAB Confidence Intervals |
| R-FABInference | 0.1-lp153.2.13 | FAB p-Values and Confidence Intervals |
| R-fabR | 2.1.0-lp153.2.2 | Wrapper Functions Collection Used in Data Pipelines |
| R-fabricatr | 1.0.2-lp153.1.4 | Imagine Your Data Before You Collect It |
| R-fabricerin | 0.1.2-lp153.8.2 | Create Easily Canvas in \'shiny\' and \'RMarkdown\' Document |
| R-face | 0.1.7-lp153.1.8 | Fast Covariance Estimation for Sparse Functional Data |
| R-facebookadsR | 0.1.0-lp153.1.8 | Access to Facebook Ads via the \'Windsor.ai\' API |
| R-facebookleadsR | 0.1.0-lp153.1.7 | Get Facebook Leads Ads Data via the \'Windsor.ai\' API |
| R-facebookorganicR | 0.1.0-lp153.2.7 | Get Data from \'Facebook Organic\' via the \'Windsor.ai\' AP |
| R-facerec | 0.1.0-lp153.18.2 | An Interface for Face Recognition |
| R-facmodCS | 1.0-lp153.1.5 | Cross-Section Factor Models |
| R-facmodTS | 1.0-lp153.1.4 | Time Series Factor Models for Asset Returns |
| R-FacPad | 3.0-lp153.2.13 | Bayesian Sparse Factor Analysis model for the inference of p |
| R-FACT | 0.1.1-lp153.3.2 | Feature Attributions for ClusTering |
| R-factiv | 0.1.0-lp153.1.12 | Instrumental Variables Estimation for 2^k Factorial Experime |
| R-FactMixtAnalysis | 1.0-lp153.2.13 | Factor Mixture Analysis with covariates |
| R-FACTMLE | 1.1-lp153.3.7 | Maximum Likelihood Factor Analysis |
| R-FactoClass | 1.2.9-lp153.1.4 | Combination of Factorial Methods and Cluster Analysis |
| R-FactoMineR | 1.27-lp153.1.30 | Multivariate Exploratory Data Analysis and Data Mining with |
| R-factoptd | 1.0.3-lp153.5.8 | Factorial Optimal Designs for Two-Colour cDNA Microarray Exp |
| R-factor.switching | 1.4-lp153.1.4 | Post-Processing MCMC Outputs of Bayesian Factor Analytic Mod |
| R-factor256 | 0.1.0-lp153.1.4 | Use Raw Vectors to Minimize Memory Consumption of Factors |
| R-FactorCopula | 0.9.3-lp153.5.4 | Factor, Bi-Factor, Second-Order and Factor Tree Copula Model |
| R-factorEx | 1.0.1-lp153.14.8 | Design and Analysis for Factorial Experiments |
| R-factorial2x2 | 0.2.0-lp153.2.12 | Design and Analysis of a 2x2 Factorial Trial |
| R-factorMerger | 0.4.0-lp153.17.8 | The Merging Path Plot |
| R-factormodel | 1.0-lp153.7.7 | Factor Model Estimation Using Proxy Variables |
| R-factorplot | 1.2.3-lp153.2.2 | Presenting Pairwise Comparisons |
| R-FactorsR | 1.5-lp153.1.11 | Identification of the Factors Affecting Species Richness |
| R-factory | 0.1.0-lp153.4.7 | Build Function Factories |
| R-factReg | 1.0.0-lp153.1.5 | Multi-Environment Genomic Prediction with Penalized Factoria |
| R-factset.analyticsapi.engines | 3.0.1-lp153.4.5 | \'FactSet\' Engines API Client |
| R-factset.protobuf.stachextensions | 1.0.4-lp153.2.2 | \'FactSet\' \'STACH\' Extensions Package |
| R-factualR | 0.5-lp153.3.12 | thin wrapper for the Factual.com server API |
| R-FADA | 1.3.5-lp153.6.7 | Variable Selection for Supervised Classification in High Dim |
| R-FAdist | 2.4-lp153.1.11 | Distributions that are Sometimes Used in Hydrology |
| R-FADPclust | 1.1.1-lp153.5.4 | Functional Data Clustering Using Adaptive Density Peak Detec |
| R-Fahrmeir | 2016.5.31-lp153.2.13 | Data from the Book \"Multivariate Statistical Modelling Base |
| R-fail | 1.3-lp153.3.11 | File Abstraction Interface Layer (FAIL) |
| R-FAIRmaterials | 0.1.0-lp153.1.7 | Make Materials Data FAIR |
| R-FairMclus | 2.2.1-lp153.9.2 | Clustering for Data with Sensitive Attribute |
| R-fairml | 0.8-lp153.1.5 | Fair Models in Machine Learning |
| R-fairsubset | 1.0-lp153.2.13 | Choose Representative Subsets |
| R-faisalconjoint | 1.15-lp153.2.13 | Faisal Conjoint Model: A New Approach to Conjoint Analysis |
| R-fake | 1.4.0-lp153.3.4 | Flexible Data Simulation Using the Multivariate Normal Distr |
| R-fakemake | 1.11.1-lp153.2.4 | Mock the Unix Make Utility |
| R-fakir | 1.0.0-lp153.2.2 | Generate Fake Datasets for Prototyping and Teaching |
| R-fakmct | 0.1.0-lp153.1.9 | Fuzzy Adaptive Resonance Theory K-Means Clustering Technique |
| R-falcon | 0.2-lp153.2.13 | Finding Allele-Specific Copy Number in Next-Generation Seque |
| R-falconx | 0.2-lp153.2.13 | Finding Allele-Specific Copy Number in Whole-Exome Sequencin |
| R-fam.recrisk | 0.1-lp153.2.13 | Familial Recurrence Risk |
| R-fam2r | 1.2-lp153.2.12 | From \'Familias\' to R |
| R-fame | 2.21.1-lp153.1.11 | Interface for FAME time series database |
| R-FAMetA | 0.1.6-lp153.3.3 | Fatty Acid Metabolic Analysis |
| R-familial | 1.0.5-lp153.1.5 | Statistical Tests of Familial Hypotheses |
| R-familiar | 1.4.8-lp153.2.2 | End-to-End Automated Machine Learning and Model Evaluation |
| R-Familias | 2.6.1-lp153.1.4 | Probabilities for Pedigrees Given DNA Data |
| R-FAMILY | 0.1.19-lp153.4.10 | A Convex Formulation for Modeling Interactions with Strong H |
| R-FAmle | 1.3.7-lp153.1.11 | Maximum Likelihood and Bayesian Estimation of Univariate Pro |
| R-FAMoS | 0.3.0-lp153.4.8 | A Flexible Algorithm for Model Selection |
| R-famSKATRC | 1.1.0-lp153.2.13 | Family Sequence Kernel Association Test for Rare and Common |
| R-fanc | 2.3.11-lp153.1.4 | Penalized Likelihood Factor Analysis via Nonconvex Penalty |
| R-fANCOVA | 0.6.1-lp153.2.13 | Nonparametric Analysis of Covariance |
| R-fanovaGraph | 1.5-lp153.24.2 | Building Kriging Models from FANOVA Graphs |
| R-fanplot | 4.0.0-lp153.1.12 | Visualisation of Sequential Probability Distributions Using |
| R-fansi | 0.4.1-lp153.1.28 | ANSI Control Sequence Aware String Functions |
| R-fansi | 0.4.1-1.36 | ANSI Control Sequence Aware String Functions |
| R-fansi | 1.0.6-lp153.1.4 | ANSI Control Sequence Aware String Functions |
| R-fansi | 0.4.1-lp155.1.5 | ANSI Control Sequence Aware String Functions |
| R-fansi | 0.4.1-lp154.1.10 | ANSI Control Sequence Aware String Functions |
| R-fansi | 0.4.1-1.28 | ANSI Control Sequence Aware String Functions |
| R-FAO56 | 1.0-lp153.1.4 | Evapotranspiration Based on FAO Penman-Monteith Equation |
| R-FAOSTAT | 2.4.0-lp153.2.2 | Download Data from the FAOSTAT Database |
| R-faq | 0.1.1-lp153.14.2 | Create FAQ Page |
| R-farff | 1.1.1-lp153.10.2 | A Faster \'ARFF\' File Reader and Writer |
| R-farr | 0.3.0-lp153.2.2 | Data and Code for Financial Accounting Research |
| R-farver | 2.1.2-lp153.2.2 | High Performance Colour Space Manipulation |
| R-farver | 2.0.3-lp153.1.28 | High Performance Colour Space Manipulation |
| R-farver | 2.0.3-lp155.1.5 | High Performance Colour Space Manipulation |
| R-farver | 2.0.3-1.28 | High Performance Colour Space Manipulation |
| R-farver | 2.0.3-lp154.1.10 | High Performance Colour Space Manipulation |
| R-farver | 2.0.3-1.36 | High Performance Colour Space Manipulation |
| R-FAS | 1.0.0-lp153.1.4 | Factor-Augmented Sparse Regression Tuning-Free Testing |
| R-fase | 1.0.1-lp153.2.2 | Functional Adjacency Spectral Embedding |
| R-FASeg | 0.1.9-lp153.2.13 | Joint Segmentation of Correlated Time Series |
| R-fasi | 1.0.0-lp153.1.12 | Fair Adjusted Selective Inference |
| R-fAsianOptions | 3042.82-lp153.2.13 | Rmetrics - EBM and Asian Option Valuation |
| R-fasjem | 1.1.2-lp153.7.4 | A Fast and Scalable Joint Estimator for Learning Multiple Re |
| R-fAssets | 4023.85-lp153.2.4 | Rmetrics - Analysing and Modelling Financial Assets |
| R-fasta | 0.1.0-lp153.2.13 | Fast Adaptive Shrinkage/Thresholding Algorithm |
| R-fastAFT | 1.4-lp153.1.5 | Fast Regression for the Accelerated Failure Time (AFT) Model |
| R-fastbackward | 1.0.1-lp153.2.2 | Fast Backward Elimination Based on Information Criterion |
| R-fastbeta | 0.3.0-lp153.2.2 | Fast Approximation of Time-Varying Infectious Disease Transm |
| R-fastclime | 1.4.1.1-lp153.1.5 | A Fast Solver for Parameterized LP Problems, Constrained L1 |
| R-fastcluster | 1.2.6-lp153.1.4 | Fast Hierarchical Clustering Routines for R and \'Python\' |
| R-fastcmprsk | 1.24.5-lp153.2.2 | Fine-Gray Regression via Forward-Backward Scan |
| R-fastCorrDiff | 0.5-lp153.1.11 | Fast Differential Correlation Matrix Screening |
| R-fastcox | 1.1.3-lp153.2.13 | Lasso and Elastic-Net Penalized Cox\'s Regression in High Di |
| R-FastCUB | 0.0.3-lp153.2.2 | Fast Estimation of CUB Models via Louis\' Identity |
| R-fastdigest | 0.6.4-lp153.2.2 | Fast, Low Memory Footprint Digests of R Objects |
| R-fastGraph | 2.1-lp153.2.13 | Fast Drawing and Shading of Graphs of Statistical Distributi |
| R-fastHICA | 1.0.2-lp153.3.13 | Hierarchical Independent Component Analysis: a Multi-Scale S |
| R-fasthplus | 1.0-lp153.1.11 | Fast Label-Dissimilarity Discordance Estimation with H+ |
| R-FastImputation | 2.2.1-lp153.1.5 | Learn from Training Data then Quickly Fill in Missing Data |
| R-FastKM | 1.1-lp153.2.7 | A Fast Multiple-Kernel Method Based on a Low-Rank Approximat |
| R-FastKNN | 0.0.1-lp153.2.13 | Fast k-Nearest Neighbors |
| R-fastkqr | 1.0.0-lp153.2.2 | A Fast Algorithm for Kernel Quantile Regression |
| R-fastLaplace | 0.0.2-lp153.2.11 | A Fast Laplace Method for Spatial Generalized Linear Mixed M |
| R-fastlogitME | 0.1.0-lp153.2.13 | Basic Marginal Effects for Logit Models |
| R-FastLZeroSpikeInference | 2018.12.10-lp153.2.13 | Fast Nonconvex Deconvolution of Calcium Imaging Data |
| R-fastmap | 1.1.0-lp155.1.5 | Fast map implementation for R |
| R-fastmap | 1.1.0-1.12 | Fast map implementation for R |
| R-fastmap | 1.1.0-1.14 | Fast map implementation for R |
| R-fastmap | 1.2.0-lp153.2.2 | Fast Data Structures |
| R-fastmap | 1.1.0-lp153.1.11 | Fast map implementation for R |
| R-fastmap | 1.1.0-lp154.1.10 | Fast map implementation for R |
| R-fastmaRching | 1.1.0-lp153.5.7 | Fast Marching Method for Modelling Evolving Boundaries |
| R-fastmatch | 1.1.4-lp153.1.5 | Fast \'match()\' Function |
| R-fastNaiveBayes | 2.2.1-lp153.2.13 | Extremely Fast Implementation of a Naive Bayes Classifier |
| R-fastnet | 1.0.0-lp153.20.4 | Large-Scale Social Network Analysis |
| R-fastOnlineCpt | 1.0-lp153.1.12 | Online Multivariate Changepoint Detection |
| R-fastpseudo | 0.1-lp153.2.13 | Fast Pseudo Observations |
| R-fastqcr | 0.1.3-lp153.9.2 | Quality Control of Sequencing Data |
| R-fastR2 | 1.2.4-lp153.4.2 | Foundations and Applications of Statistics Using R (2nd Edit |
| R-fastrep | 0.7-lp153.17.2 | Time-Saving Package for Creating Reports |
| R-fastRG | 0.3.2-lp153.2.4 | Sample Generalized Random Dot Product Graphs in Linear Time |
| R-fastRhockey | 0.4.0-lp153.8.4 | Functions to Access Premier Hockey Federation and National H |
| R-FastRWeb | 1.2.1-lp153.1.4 | Fast Interactive Framework for Web Scripting Using R |
| R-fastSOM | 1.0.1-lp153.2.13 | Fast Calculation of Spillover Measures |
| R-fastStat | 1.4-lp153.11.11 | Faster for Statistic Work |
| R-FastStepGraph | 0.1.1-lp153.1.5 | A Fast Algorithm for Sparse Precision Matrix Estimation |
| R-fasttime | 1.1.0-lp153.1.10 | Fast Utility Function for Time Parsing and Conversion |
| R-fastTS | 1.0.1-lp153.2.2 | Fast Time Series Modeling for Seasonal Series with Exogenous |
| R-fat2Lpoly | 1.2.5-lp153.5.5 | Two-Locus Family-Based Association Test with Polytomous Outc |
| R-FateID | 0.2.2-lp153.4.5 | Quantification of Fate Bias in Multipotent Progenitors |
| R-FatTailsR | 1.8.5-lp153.2.2 | Kiener Distributions and Fat Tails in Finance |
| R-fauxnaif | 0.7.1-lp153.3.5 | Convert Values to NA |
| R-fauxpas | 0.5.2-lp153.1.5 | HTTP Error Helpers |
| R-FAVAR | 0.1.3-lp153.7.7 | Bayesian Analysis of a FAVAR Model |
| R-faviconPlease | 0.1.3-lp153.2.4 | Find the URL to the \'Favicon\' for a Website |
| R-favnums | 1.0.0-lp153.2.13 | A Dataset of Favourite Numbers |
| R-fbar | 0.6.0-lp153.18.2 | An Extensible Approach to Flux Balance Analysis |
| R-fBasics | 3010.86-lp154.3.10 | Rmetrics - Markets and Basic Statistics |
| R-fBasics | 3010.86-lp153.3.23 | Rmetrics - Markets and Basic Statistics |
| R-fBasics | 3010.86-lp155.3.5 | Rmetrics - Markets and Basic Statistics |
| R-fBasics | 3010.86-3.30 | Rmetrics - Markets and Basic Statistics |
| R-fBasics | 3010.86-3.38 | Rmetrics - Markets and Basic Statistics |
| R-fbati | 1.0.9-lp153.1.4 | Gene by Environment Interaction and Conditional Gene Tests f |
| R-FBN | 1.5.2-lp153.1.5 | FISH Based Normalization and Copy Number Inference of SNP Mi |
| R-fbnet | 1.0.3-lp153.3.4 | Forensic Bayesian Networks |
| R-fBonds | 3042.78-lp153.2.13 | Rmetrics - Pricing and Evaluating Bonds |
| R-fbRads | 17.0.0-lp153.1.5 | Analyzing and Managing Facebook Ads from R |
| R-fbRanks | 2.0-lp153.4.10 | Association Football (Soccer) Ranking via Poisson Regression |
| R-fc | 0.1.0-lp153.2.13 | Standard Evaluation-Based Multivariate Function Composition |
| R-fca | 0.1.0-lp153.1.11 | Floating Catchment Area (FCA) Methods to Calculate Spatial A |
| R-fcd | 0.1-lp153.3.11 | Fused Community Detection |
| R-fCertificates | 0.5.4-lp153.2.13 | Basics of Certificates and Structured Products Valuation |
| R-FCGR | 1.0.0-lp153.3.13 | Fatigue Crack Growth in Reliability |
| R-fcm | 0.1.3-lp153.15.2 | Inference of Fuzzy Cognitive Maps (FCMs) |
| R-FCMapper | 1.1-lp153.7.4 | Fuzzy Cognitive Mapping |
| R-FCO | 0.8.0-lp153.1.5 | Flexible Cutoffs for Model Fit Evaluation in Covariance-Base |
| R-fCopulae | 4022.85-lp153.1.7 | Rmetrics - Bivariate Dependence Structures with Copulae |
| R-fcp | 0.1.0-lp153.1.4 | Function Composition |
| R-FCPS | 1.3.4-lp153.2.2 | Fundamental Clustering Problems Suite |
| R-fcr | 1.0-lp153.11.5 | Functional Concurrent Regression for Sparse Data |
| R-fcros | 1.6.1-lp153.2.13 | A Method to Search for Differentially Expressed Genes and to |
| R-fcuk | 0.1.21-lp153.12.7 | The Ultimate Helper for Clumsy Fingers |
| R-FCVAR | 0.1.4-lp153.1.9 | Estimation and Inference for the Fractionally Cointegrated V |
| R-FD | 1.0.12.3-lp153.1.4 | Measuring Functional Diversity (FD) from Multiple Traits, an |
| R-fda.usc | 2.1.0-lp153.5.4 | Functional Data Analysis and Utilities for Statistical Compu |
| R-fdaACF | 1.0.0-lp153.16.4 | Autocorrelation Function for Functional Time Series |
| R-fdaMocca | 0.1.1-lp153.5.4 | Model-Based Clustering for Functional Data with Covariates |
| R-fdaoutlier | 0.2.1-lp153.1.5 | Outlier Detection Tools for Functional Data Analysis |
| R-fdatest | 2.1.1-lp153.7.4 | Interval Testing Procedure for Functional Data |
| R-FDboost | 1.1.2-lp153.1.5 | Boosting Functional Regression Models |
| R-fdcov | 1.1.0-lp153.2.13 | Analysis of Covariance Operators |
| R-fdistr | 0.1.0-lp153.15.7 | Frequency Distribution Tables |
| R-fdm2id | 0.9.9-lp153.11.2 | Data Mining and R Programming for Beginners |
| R-fdrci | 2.4-lp153.3.5 | Permutation-Based FDR Point and Confidence Interval Estimati |
| R-FDRestimation | 1.0.1-lp153.1.10 | Estimate, Plot, and Summarize False Discovery Rates |
| R-FDRsamplesize2 | 0.2.0-lp153.1.3 | Computing Power and Sample Size for the False Discovery Rate |
| R-FDRsampsize | 1.0-lp153.2.13 | Compute Sample Size that Meets Requirements for Average Powe |
| R-fdrtool | 1.2.15-lp153.2.24 | Estimation of (Local) False Discovery Rates and Higher Criti |
| R-fdrtool | 1.2.15-2.31 | Estimation of (Local) False Discovery Rates and Higher Criti |
| R-fdrtool | 1.2.15-2.38 | Estimation of (Local) False Discovery Rates and Higher Criti |
| R-fdrtool | 1.2.15-lp155.2.5 | Estimation of (Local) False Discovery Rates and Higher Criti |
| R-fdrtool | 1.2.15-lp154.2.10 | Estimation of (Local) False Discovery Rates and Higher Criti |
| R-fds | 1.8-lp153.16.4 | Functional Data Sets |
| R-fdth | 1.3.0-lp153.1.4 | Frequency Distribution Tables, Histograms and Polygons |
| R-fdWasserstein | 1.0-lp153.1.4 | Application of Optimal Transport to Functional Data Analysis |
| R-FEA | 0.0.2-lp153.1.7 | Finite Element Modeling for R |
| R-FeaLect | 1.20-lp153.31.2 | Scores Features for Feature Selection |
| R-feamiR | 0.1.0-lp153.15.7 | Classification and Feature Selection for microRNA/mRNA Inter |
| R-feature | 1.2.15-lp153.4.4 | Local Inferential Feature Significance for Multivariate Kern |
| R-featureCorMatrix | 0.4.0-lp153.2.13 | Measurement Level Independent Feature Correlation Matrix |
| R-featurefinder | 1.1-lp153.3.9 | Feature Finder |
| R-featureflag | 0.1.0-lp153.1.13 | Turn Features On and Off using Feature Flags |
| R-FeatureImpCluster | 0.1.5-lp153.7.5 | Feature Importance for Partitional Clustering |
| R-features | 2015.12.1-lp153.3.13 | Feature Extraction for Discretely-Sampled Functional Data |
| R-featuretoolsR | 0.4.4-lp153.23.7 | Interact with the \'Python\' Module \'Featuretools\' |
| R-featurizer | 0.2-lp153.2.13 | Some Helper Functions that Help Create Features from Data |
| R-febr | 1.9.9-lp153.1.11 | Data Repository of the Brazilian Soil |
| R-fec16 | 0.1.4-lp153.3.2 | Data Package for the 2016 United States Federal Elections |
| R-fechner | 1.0.3-lp153.2.13 | Fechnerian Scaling of Discrete Object Sets |
| R-FedData | 4.0.1-lp153.1.3 | Functions to Automate Downloading Geospatial Data Available |
| R-federalregister | 0.2.0-lp153.2.12 | Client Package for the U.S. Federal Register API |
| R-fedregs | 1.0.0-lp153.16.4 | Text Analysis of the US Code of Federal Regulations |
| R-fedstatAPIr | 1.0.3-lp153.2.4 | Unofficial API for Fedstat (Rosstat EMISS System) for Automa |
| R-fedz1 | 0.1.0-lp153.1.7 | An Easier Access to Financial Accounts of the United States( |
| R-feedeR | 0.0.10-lp153.6.12 | Read RSS, Atom and RDF Feeds |
| R-feisr | 1.3.0-lp153.1.10 | Estimating Fixed Effects Individual Slope Models |
| R-fellov | 0.1-lp153.2.12 | Feasible Ellipse Overlap |
| R-felp | 0.5.0-lp153.2.2 | Functional Help for Functions, Objects, and Packages |
| R-feltr | 0.0.4-lp153.1.2 | Access the Felt API |
| R-FEprovideR | 1.1-lp153.14.5 | Fixed Effects Logistic Model with High-Dimensional Parameter |
| R-FER | 0.94-lp153.1.13 | Financial Engineering in R |
| R-fermicatsR | 1.4-lp153.2.13 | Fermi Large Area Telescope Catalogs |
| R-FertBoot | 0.5.0-lp153.15.2 | Fertilizer Response Curve Analysis by Bootstrapping Residual |
| R-fertilmodel | 1.1-lp153.1.7 | Fertility Models |
| R-FertNet | 0.1.2-lp153.1.4 | Process Data from the Social Networks and Fertility Survey |
| R-FESta | 1.0.0-lp153.2.13 | Fishing Effort Standardisation |
| R-fetch | 0.1.5-lp153.1.4 | Fetch Data from Various Data Sources |
| R-fetchGoogleAnalyticsR | 0.1.0-lp153.1.7 | Get Data from Google Analytics via the \'Windsor.ai\' API |
| R-fetchSalesforceR | 0.1.0-lp153.1.7 | Get Data from Salesforce via the \'Windsor.ai\' API |
| R-fExoticOptions | 3042.80-lp153.2.13 | Rmetrics - Pricing and Evaluating Exotic Option |
| R-fExpressCertificates | 1.3-lp153.2.13 | Structured Products Valuation for ExpressCertificates/Autoca |
| R-fExtremes | 4032.84-lp153.1.4 | Rmetrics - Modelling Extreme Events in Finance |
| R-ff | 2.2.13-lp154.1.10 | Memory-efficient storage of large data on disk and fast acce |
| R-ff | 2.2.13-1.31 | Memory-efficient storage of large data on disk and fast acce |
| R-ff | 2.2.13-lp155.1.5 | Memory-efficient storage of large data on disk and fast acce |
| R-ff | 2.2.13-1.38 | Memory-efficient storage of large data on disk and fast acce |
| R-ff | 2.2.13-lp153.1.24 | Memory-efficient storage of large data on disk and fast acce |
| R-FFD | 1.0.9-lp153.1.7 | Freedom from Disease |
| R-FField | 0.1.0-lp153.2.13 | Force field simulation for a set of points |
| R-fflr | 2.3.0-lp153.1.2 | Retrieve ESPN Fantasy Football Data |
| R-ffmanova | 1.1.2-lp153.1.5 | Fifty-fifty MANOVA |
| R-ffmetadata | 1.0.0-lp153.2.12 | Access to Fragile Families Metadata |
| R-ffscrapr | 1.4.8-lp153.2.2 | API Client for Fantasy Football League Platforms |
| R-ffsimulator | 1.2.3-lp153.1.7 | Simulate Fantasy Football Seasons |
| R-fftwtools | 0.9.11-lp153.1.11 | Wrapper for \'FFTW3\' Includes: One-Dimensional, Two-Dimensi |
| R-fgac | 0.6.1-lp153.2.13 | Generalized Archimedean Copula |
| R-FGalgorithm | 1.0-lp153.2.13 | Flury and Gautschi algorithms |
| R-fGarch | 4033.92-lp153.2.2 | Rmetrics - Autoregressive Conditional Heteroskedastic Modell |
| R-fgdr | 1.1.1-lp153.9.3 | Utilities for Fundamental Geo-Spatial Data |
| R-fgeo | 1.1.4-lp153.22.2 | Analyze Forest Diversity and Dynamics |
| R-fgeo.analyze | 1.1.14-lp153.20.2 | Analyze ForestGEO Data |
| R-fgeo.plot | 1.1.11-lp153.6.2 | Plot ForestGEO Data |
| R-fgeo.tool | 1.2.9-lp153.1.4 | Import and Manipulate \'ForestGEO\' Data |
| R-fgeo.x | 1.1.4-lp153.4.5 | Access Small ForestGEO Datasets For Examples |
| R-fglsnet | 1.0-lp153.7.5 | A Feasible Generalized Least Squares Estimator for Regressio |
| R-fgm | 1.0-lp153.30.2 | Partial Separability and Functional Gaussian Graphical Model |
| R-Fgmutils | 0.9.5-lp153.16.2 | Forest Growth Model Utilities |
| R-fgof | 0.2.1-lp153.2.13 | Fast Goodness-of-fit Test |
| R-fgpt | 2.3-lp153.2.13 | Floating Grid Permutation Technique |
| R-FGSG | 1.0.2-lp153.2.13 | Feature Grouping and Selection Over an Undirected Graph |
| R-fgui | 1.0.8-lp153.2.13 | Function GUI |
| R-FHDI | 1.4.1-lp153.2.13 | Fractional Hot Deck and Fully Efficient Fractional Imputatio |
| R-fhidata | 2019.8.27-lp153.2.13 | Structural Data for Norway |
| R-fhircrackr | 2.2.0-lp153.2.2 | Handling HL7 FHIR® Resources in R |
| R-FI | 1.0-lp153.2.13 | Provide functions for forest inventory calculations |
| R-fic | 1.0.0-lp153.14.5 | Focused Information Criteria for Model Comparison |
| R-fidap | 0.0.3-lp153.1.12 | Access Clean External Data Easily |
| R-fields | 7.1-2.29 | Tools for spatial data |
| R-fields | 7.1-lp153.2.23 | Tools for spatial data |
| R-fields | 7.1-2.38 | Tools for spatial data |
| R-FieldSim | 3.2.1-lp153.11.9 | Random Fields (and Bridges) Simulations |
| R-fiery | 1.2.1-lp153.1.4 | A Lightweight and Flexible Web Framework |
| R-fig | 1.0.0-lp153.1.10 | A Config Package with No \"Con\" |
| R-figir | 0.1.7.0-lp153.1.5 | Check Validity of FIGI, CUSIP, ISIN, SEDOL |
| R-figma | 0.2.0-lp153.4.2 | Web Client/Wrapper to the \'Figma API\' |
| R-figuRes2 | 1.0.0-lp153.5.2 | Support for a Variety of Figure Production Tasks |
| R-filebin | 0.0.6-lp153.2.2 | Wrapper for the Filebin File Sharing API |
| R-filecacher | 0.2.9-lp153.1.4 | File Cacher |
| R-filehash | 2.4.1-lp153.2.24 | Simple key-value database |
| R-filehash | 2.4.1-lp155.2.5 | Simple key-value database |
| R-filehash | 2.4.1-lp154.2.10 | Simple key-value database |
| R-filehash | 2.4.1-2.38 | Simple key-value database |
| R-filehash | 2.4.1-2.32 | Simple key-value database |
| R-filelock | 1.0.3-lp153.1.4 | Portable File Locking |
| R-filematrix | 1.3-lp153.2.13 | File-Backed Matrix Class with Convenient Read and Write Acce |
| R-filenamer | 0.2.4-lp153.2.2 | Easy Management of File Names |
| R-files | 0.0.1-lp153.2.13 | Effective File Navigation from the R Console |
| R-filesstrings | 3.4.0-lp153.1.4 | Handy File and String Manipulation |
| R-FILEST | 1.1.2-lp153.2.7 | Fine-Level Structure Simulator |
| R-filibustr | 0.2.1-lp153.2.2 | Data Utilities for Congressional Research |
| R-fillr | 1.0.0-lp153.2.13 | Fill Missing Values in Vectors |
| R-filteRjsats | 1.0-lp153.2.4 | Filter Raw JSATS Acoustic Telemetry Files from Lotek, ATS, T |
| R-filterNHP | 0.1.2-lp153.10.2 | Non-Human Primate Search Filters |
| R-FinAna | 0.1.2-lp153.2.13 | Financial Analysis and Regression Diagnostic Analysis |
| R-FinancialInstrument | 1.3.1-lp153.3.5 | Financial Instrument Model Infrastructure and Meta-Data |
| R-FinancialMath | 0.1.1-lp153.2.13 | Financial Mathematics for Actuaries |
| R-FinAsym | 1.0-lp153.2.13 | Classifies implicit trading activity from market quotes and |
| R-FinCal | 0.6.3-lp153.15.2 | Time Value of Money, Time Series Analysis and Computational |
| R-FinCovRegularization | 1.1.0-lp153.2.13 | Covariance Matrix Estimation and Regularization for Finance |
| R-FindAllRoots | 1.0-lp153.2.13 | Find all root(s) of the equation and Find root(s) of the equ |
| R-findGSEP | 1.2.0-lp153.2.2 | Estimate Genome Size of Polyploid Species Using k-Mer Freque |
| R-findInFiles | 0.5.0-lp153.2.2 | Find Pattern in Files |
| R-findInGit | 0.1.1-lp153.13.2 | Find Pattern in Files of All Branches of a \'git\' Repositor |
| R-findPackage | 0.2.0-lp153.1.7 | Find \'CRAN\' Package by Topic |
| R-findpython | 1.0.8-lp153.1.5 | Functions to Find an Acceptable Python Binary |
| R-findviews | 0.1.3-lp153.20.2 | A View Generator for Multidimensional Data |
| R-FinePop | 1.5.2-lp153.2.2 | Fine-Scale Population Analysis |
| R-FinePop2 | 0.4-lp153.2.13 | Fine-Scale Population Analysis (Rewrite for Gene-Trait-Envir |
| R-fingerprint | 3.5.7-lp153.2.13 | Functions to operate on binary fingerprint data |
| R-finiteruinprob | 0.6-lp153.3.7 | Computation of the Probability of Ruin Within a Finite Time |
| R-FinNet | 0.1.2-lp153.1.5 | Quickly Build and Manipulate Financial Networks |
| R-finnishgrid | 0.2.0-lp153.1.2 | \'Fingrid Open Data API\' R Client |
| R-finreportr | 1.0.4-lp153.9.4 | Financial Data from U.S. Securities and Exchange Commission |
| R-FinTS | 0.4.9-lp153.1.4 | Companion to Tsay (2005) Analysis of Financial Time Series |
| R-fipe | 0.0.1-lp153.10.11 | Access to Average Purchase Price of Vehicles in Brazil |
| R-fipio | 1.1.2-lp153.1.4 | Lightweight Federal Information Processing System (FIPS) Cod |
| R-firebase | 1.0.2-lp153.4.2 | Integrates \'Google Firebase\' Authentication Storage, and \ |
| R-firebehavioR | 0.1.2-lp153.14.5 | Prediction of Wildland Fire Behavior and Hazard |
| R-first | 1.1-lp153.1.4 | Factor Importance Ranking and Selection using Total Indices |
| R-FiSh | 1.1-lp153.11.4 | Fisher-Shannon Method |
| R-fishbc | 0.2.1-lp153.1.12 | Fishes of British Columbia |
| R-fishdata | 1.0.1-lp153.1.12 | A Small Collection of Fish Population Datasets |
| R-FisherEM | 1.6-lp153.14.7 | The FisherEM Algorithm to Simultaneously Cluster and Visuali |
| R-fishkirkko2015 | 1.0.0-lp153.2.13 | Dataset of Measurements of Fish Species at Kirkkojarvi Lake, |
| R-fishmove | 0.3.3-lp153.9.11 | Prediction of Fish Movement Parameters |
| R-FishResp | 1.1.1-lp153.9.4 | Analytical Tool for Aquatic Respirometry |
| R-fishtree | 0.3.4-lp153.4.7 | Interface to the Fish Tree of Life API |
| R-fishualize | 0.2.3-lp153.8.2 | Color Palettes Based on Fish Species |
| R-fit.models | 0.64-lp153.2.13 | Compare Fitted Models |
| R-FitAR | 1.94-lp153.3.11 | Subset AR Model Fitting |
| R-FitARMA | 1.6.1-lp153.3.11 | Fit ARMA or ARIMA Using Fast MLE Algorithm |
| R-fitbitr | 0.3.0-lp153.2.2 | Interface with the \'Fitbit\' API |
| R-fitbitScraper | 0.1.8-lp153.7.2 | Scrapes Data from Fitbit |
| R-fitbitViz | 1.0.5-lp153.4.5 | \'Fitbit\' Visualizations |
| R-fitConic | 1.2.1-lp153.1.5 | Fit Data to Any Conic Section |
| R-fitdc | 0.0.1-lp153.2.13 | Garmin FIT File Decoder |
| R-fitDRC | 1.1.1-lp153.2.13 | Fitting Density Ratio Classes |
| R-FitDynMix | 1.0.0-lp153.1.4 | Estimation of Dynamic Mixtures |
| R-fitHeavyTail | 0.2.0-lp153.3.2 | Mean and Covariance Matrix Estimation under Heavy Tails |
| R-fitmix | 0.1.0-lp153.1.13 | Finite Mixture Model Fitting of Lifespan Datasets |
| R-fitODBOD | 1.4.1.1-lp153.2.12 | Modeling Over Dispersed Binomial Outcome Data Using BMD and |
| R-fitPoly | 3.0.0-lp153.2.13 | Genotype Calling for Bi-Allelic Marker Assays |
| R-fitPS | 1.0.1-lp153.2.2 | Fit Zeta Distributions to Forensic Data |
| R-fitscape | 0.1.0-lp153.1.11 | Classes for Fitness Landscapes and Seascapes |
| R-FITSio | 2.1.6-lp153.1.13 | FITS (Flexible Image Transport System) Utilities |
| R-fitteR | 0.2.0-lp153.13.2 | Fit Hundreds of Theoretical Distributions to Empirical Data |
| R-fitTetra | 1.0-lp153.2.13 | fitTetra is an R package for assigning tetraploid genotype s |
| R-fivethirtyeight | 0.6.2-lp153.1.12 | Data and Code Behind the Stories and Interactives at \'FiveT |
| R-fixedincome | 0.0.5-lp153.1.5 | Fixed Income Models, Calculations, Data Structures and Instr |
| R-FixedPoint | 0.6.3-lp153.2.7 | Algorithms for Finding Fixed Point Vectors of Functions |
| R-fixedpointproperty | 1.0-lp153.1.2 | Determine and Test the Fixed-Point Property in Binary Mixtur |
| R-fixedTimeEvents | 1.0.1-lp153.1.11 | The Distribution of Distances Between Discrete Events in Fix |
| R-fixerapi | 0.1.6-lp153.13.2 | An R Client for the \"Fixer.io\" Currency API |
| R-fixr | 0.1.0-lp153.2.4 | Fixing Data Made Easy for Statistical Analysis |
| R-FixSeqMTP | 0.1.2-lp153.2.13 | Fixed Sequence Multiple Testing Procedures |
| R-fixtuRes | 0.1.3-lp153.8.2 | Mock Data Generator |
| R-fizzbuzzR | 0.1.1-lp153.2.13 | Fizz Buzz Implementation |
| R-FjordLight | 0.8-lp153.2.2 | Available Light Within the Water Column and Seafloor of Arct |
| R-FKF.SP | 0.3.1-lp153.1.8 | Fast Kalman Filtering Through Sequential Processing |
| R-flacco | 1.8-lp153.15.2 | Feature-Based Landscape Analysis of Continuous and Constrain |
| R-flagr | 0.3.2-lp153.2.19 | Implementation of Flag Aggregation |
| R-flair | 0.0.2-lp153.21.7 | Highlight, Annotate, and Format your R Source Code |
| R-FLAME | 2.1.1-lp153.2.7 | Interpretable Matching for Causal Inference |
| R-flametree | 0.1.3-lp153.12.2 | Generate Random Tree-Like Images |
| R-flare | 1.7.0.1-lp153.6.4 | Family of Lasso Regression |
| R-flashCard | 0.1.0-lp153.15.2 | Create a Flash Card |
| R-flashClust | 1.01.2-lp153.2.13 | Implementation of optimal hierarchical clustering |
| R-flashier | 1.0.7-lp153.2.2 | Empirical Bayes Matrix Factorization |
| R-flashlight | 0.9.0-lp153.2.2 | Shed Light on Black Box Machine Learning Models |
| R-flatness | 0.1.4-lp153.1.12 | Indices and Tests for Assessing the Flatness of (Rank) Histo |
| R-flatr | 0.1.1-lp153.13.7 | Transforms Contingency Tables to Data Frames, and Analyses T |
| R-flattabler | 2.1.2-lp153.2.2 | Obtaining a Flat Table from Pivot Tables |
| R-flatxml | 0.1.1-lp153.5.4 | Tools for Working with XML Files as R Dataframes |
| R-fledge | 0.1.2-lp153.3.2 | Smoother Change Tracking and Versioning for R Packages |
| R-flexclust | 1.4.2-lp153.2.2 | Flexible Cluster Algorithms |
| R-flexCWM | 1.92-lp153.7.3 | Flexible Cluster-Weighted Modeling |
| R-flexdashboard | 0.6.2-lp153.7.2 | R Markdown Format for Flexible Dashboards |
| R-FlexDir | 1.0-lp153.2.13 | Tools to Work with the Flexible Dirichlet Distribution |
| R-FlexDotPlot | 0.2.2-lp153.16.4 | Flexible Dot Plot |
| R-FlexGAM | 0.7.2-lp153.2.13 | Generalized Additive Models with Flexible Response Functions |
| R-flexiblas | 3.4.0-lp153.1.4 | \'FlexiBLAS\' API Interface |
| R-flexlsx | 0.2.1-lp153.2.2 | Exporting \'flextable\' to \'xlsx\' Files |
| R-flexmet | 1.1-lp153.1.12 | Flexible Latent Trait Metrics using the Filtered Monotonic P |
| R-flexmix | 2.3_12-lp154.1.10 | Flexible Mixture Modeling |
| R-flexmix | 2.3_12-1.25 | Flexible Mixture Modeling |
| R-flexmix | 2.3_12-1.38 | Flexible Mixture Modeling |
| R-flexmix | 2.3_12-lp153.1.24 | Flexible Mixture Modeling |
| R-flexmix | 2.3_12-lp155.1.5 | Flexible Mixture Modeling |
| R-flexmix | 2.3.19-lp153.1.5 | Flexible Mixture Modeling |
| R-flexmixNL | 0.0.1-lp153.2.13 | Finite Mixture Modeling of Generalized Nonlinear Models |
| R-flexOR | 1.0.0-lp153.2.2 | Flexible Odds Ratio Curves |
| R-flexrsurv | 2.0.18-lp153.1.4 | Flexible Relative Survival Analysis |
| R-flexsiteboard | 0.0.7-lp153.14.2 | Breaks Single Page Applications from \'flexdashboard\' in Mu |
| R-flexsurvcure | 1.2.0-lp153.10.10 | Flexible Parametric Cure Models |
| R-FlickrAPI | 0.1.0.1-lp153.10.2 | Access to Flickr API |
| R-flifo | 0.1.5-lp153.8.2 | Don\'t Get Stuck with Stacks in R |
| R-flightplanning | 0.8.4-lp153.1.13 | UAV Flight Planning |
| R-flightsbr | 0.4.1-lp153.2.2 | Download Flight and Airport Data from Brazil |
| R-flimo | 0.1.5-lp153.1.5 | Fixed Landscape Inference Method |
| R-flip | 2.5.0-lp153.3.7 | Multivariate Permutation Tests |
| R-flipbookr | 0.1.0-lp153.23.2 | Parses Code, Creates Partial Code Builds, Delivers Code Movi |
| R-flipdownr | 0.1.1-lp153.7.2 | Implement a Countdown in \'RMarkdown\' Documents and \'shiny |
| R-flipdownWidgets | 0.1.0-lp153.14.2 | A Wrapper of JavaScript Library \'flipdown.js\' |
| R-flippant | 1.5.5-lp153.2.2 | Dithionite Scramblase Assay Analysis |
| R-flipscores | 1.2.0-lp153.1.8 | Robust Score Testing in GLMs, by Sign-Flip Contributions |
| R-FLLat | 1.2.1-lp153.3.12 | Fused Lasso Latent Feature Model |
| R-float | 0.3.2-lp153.1.4 | 32-Bit Floats |
| R-float-devel | 0.3.2-lp153.1.4 | Development files for float |
| R-flobr | 0.2.3-lp153.3.5 | Convert Files to and from Binary Objects (BLOBs) |
| R-flood | 0.1.1-lp153.8.4 | Statistical Methods for the (Regional) Analysis of Flood Fre |
| R-FloodFreqPlot | 0.1.0-lp153.1.9 | Flood Probability Plotting and Graphical Frequency Analysis |
| R-flora | 0.3.4-lp153.14.7 | Tools for Interacting with the Brazilian Flora 2020 |
| R-florabr | 1.2.0-lp153.2.2 | Explore Flora e Funga do Brasil Database |
| R-flow | 0.2.0-lp153.8.2 | View and Browse Code Using Flow Diagrams |
| R-flower | 1.0-lp153.2.13 | Tools for characterizing flowering traits |
| R-flowfield | 1.0-lp153.2.13 | Forecasts future values of a univariate time series. |
| R-flowr | 0.9.11-lp153.8.5 | Streamlining Design and Deployment of Complex Workflows |
| R-FlowRegEnvCost | 0.1.1-lp153.2.13 | The Environmental Costs of Flow Regulation |
| R-FlowScreen | 1.2.6-lp153.2.13 | Daily Streamflow Trend and Change Point Screening |
| R-flowTraceR | 0.1.0-lp153.8.2 | Tracing Information Flow for Inter-Software Comparisons in M |
| R-FLR | 1.0-lp153.2.13 | Fuzzy Logic Rule Classifier |
| R-flsa | 1.5.5-lp153.1.4 | Path Algorithm for the General Fused Lasso Signal Approximat |
| R-Fluidigm | 0.2-lp153.2.2 | Handling Fluidigm Data |
| R-FluMoDL | 0.0.3-lp153.2.13 | Influenza-Attributable Mortality with Distributed-Lag Models |
| R-fluoSurv | 1.0.0-lp153.2.13 | Estimate Insect Survival from Fluorescence Data |
| R-Flury | 0.1.3-lp153.2.13 | Data Sets from Flury, 1997 |
| R-fluspect | 1.0.0-lp153.2.13 | Fluspect-B |
| R-flux | 0.3.0.1-lp153.1.8 | Flux Rate Calculation from Dynamic Closed Chamber Measuremen |
| R-fluxweb | 0.2.0-lp153.2.13 | Estimate Energy Fluxes in Food Webs |
| R-fmbasics | 0.3.0-lp153.13.7 | Financial Market Building Blocks |
| R-FMC | 1.0.1-lp153.1.10 | Factorial Experiments with Minimum Level Changes |
| R-fmcmc | 0.5.2-lp153.1.5 | A friendly MCMC framework |
| R-fmdates | 0.1.4-lp153.6.7 | Financial Market Date Calculations |
| R-FME | 1.3.6.3-lp153.1.5 | A Flexible Modelling Environment for Inverse Modelling, Sens |
| R-FMM | 0.3.1-lp153.2.5 | Rhythmic Patterns Modeling by FMM Models |
| R-FMP | 1.4-lp153.2.13 | Filtered Monotonic Polynomial IRT Models |
| R-fmpcloudr | 0.1.5-lp153.15.2 | R Access to the \'FMP Cloud\' and \'Financial Modeling Prep\ |
| R-fMRIscrub | 0.14.5-lp153.2.2 | Scrubbing and Other Data Cleaning Routines for fMRI |
| R-fMRItools | 0.4.7-lp153.2.2 | Routines for Common fMRI Processing Tasks |
| R-fmsb | 0.7.6-lp153.1.4 | Functions for Medical Statistics Book with some Demographic |
| R-FMsmsnReg | 1.0-lp153.2.13 | Regression Models with Finite Mixtures of Skew Heavy-Tailed |
| R-FMStable | 0.1.4-lp153.1.9 | Finite Moment Stable Distributions |
| R-fMultivar | 4031.84-lp153.1.5 | Rmetrics - Modeling of Multivariate Financial Return Distrib |
| R-fnets | 0.1.6-lp153.2.4 | Factor-Adjusted Network Estimation and Forecasting for High- |
| R-FnR | 1.1.0-lp153.2.2 | Inbreeding and Numerator Relationship Coefficients |
| R-foba | 0.1-lp153.1.13 | greedy variable selection |
| R-FOCI | 0.1.3-lp153.1.12 | Feature Ordering by Conditional Independence |
| R-focusedMDS | 1.3.3-lp153.15.2 | Focused, Interactive Multidimensional Scaling |
| R-folderfun | 0.1.4-lp153.2.13 | Creates and Manages Folder Functions for Portable Large-Scal |
| R-folders | 0.1.0-lp153.2.2 | Standardized Folder Names |
| R-fomantic.plus | 0.1.0-lp153.15.2 | Add Extra \'Fomantic UI\' Components to \'shiny.semantic\' |
| R-fontawesome | 0.5.2-lp153.4.2 | Easily work with \'Font Awesome\' Icons |
| R-fontBitstreamVera | 0.1.1-lp153.2.13 | Fonts with \'Bitstream Vera Fonts\' License |
| R-fontcm | 1.1-lp153.2.13 | Computer Modern font for use with extrafont package |
| R-fontLiberation | 0.1.0-lp153.2.13 | Liberation Fonts |
| R-fontquiver | 0.2.1-lp153.2.13 | Set of Installed Fonts |
| R-foodingraph | 0.1.0-lp153.22.2 | Food Network Inference and Visualization |
| R-foodquotient | 0.1.1-lp153.1.5 | Food Quotient and Nutrient Analysis for HSFFQ |
| R-foodweb | 1.0-lp153.11.9 | visualisation and analysis of food web networks |
| R-foolbox | 0.1.1-lp153.3.5 | Function Manipulation Toolbox |
| R-footballpenaltiesBL | 1.0.0-lp153.1.12 | Penalties in the German Men\'s Football Bundesliga |
| R-fOptions | 3042.86-lp153.2.13 | Rmetrics - Pricing and Evaluating Basic Options |
| R-forams | 2.0.6-lp153.1.5 | Foraminifera and Community Ecology Analyses |
| R-forcats | 0.5.0-1.40 | Tools for Working with Categorical Variables (Factors) |
| R-forcats | 1.0.0-lp153.1.7 | Tools for Working with Categorical Variables (Factors) |
| R-forcats | 0.5.0-lp153.1.25 | Tools for Working with Categorical Variables (Factors) |
| R-forcats | 0.5.0-lp154.1.10 | Tools for Working with Categorical Variables (Factors) |
| R-forcats | 0.5.0-lp155.1.5 | Tools for Working with Categorical Variables (Factors) |
| R-forcats | 0.5.0-1.29 | Tools for Working with Categorical Variables (Factors) |
| R-forceplate | 1.1.3-lp153.2.2 | Processing Force-Plate Data |
| R-forceR | 1.0.20-lp153.3.4 | Force Measurement Analyses |
| R-foreach | 1.5.2-lp153.1.11 | Provides Foreach Looping Construct |
| R-foreach | 1.5.0-1.24 | Provides Foreach Looping Construct |
| R-foreach | 1.5.0-lp153.1.25 | Provides Foreach Looping Construct |
| R-foreach | 1.5.0-lp155.1.5 | Provides Foreach Looping Construct |
| R-foreach | 1.5.0-1.28 | Provides Foreach Looping Construct |
| R-foreach | 1.5.0-lp154.1.10 | Provides Foreach Looping Construct |
| R-ForeCA | 0.2.7-lp153.6.2 | Forecastable Component Analysis |
| R-ForecastCombinations | 1.1-lp153.4.11 | Forecast Combinations |
| R-forecastML | 0.9.0-lp153.20.2 | Time Series Forecasting with Machine Learning Methods |
| R-ForecastTB | 1.0.1-lp153.5.5 | Test Bench for the Comparison of Forecast Methods |
| R-foreign | 0.8.86-192.1 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-56.163 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-50.1 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-lp154.192.1 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-lp155.192.1 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-lp153.192.1 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-194.138 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-194.138 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-56.163 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-50.1 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-50.0.2.1.sr20240605 | Package provides recommended R-foreign |
| R-foreign | 0.8.86-50.1 | Package provides recommended R-foreign |
| R-forensic | 0.2-lp153.2.13 | Statistical Methods in Forensic Genetics |
| R-forestat | 1.1.0-lp153.1.5 | Forest Carbon Sequestration and Potential Productivity Calcu |
| R-forestError | 1.1.0-lp153.3.7 | A Unified Framework for Random Forest Prediction Error Estim |
| R-ForestFit | 2.2.3-lp153.1.5 | Statistical Modelling for Plant Size Distributions |
| R-ForestGapR | 0.1.7-lp153.6.4 | Tropical Forest Canopy Gaps Analysis |
| R-forestHES | 1.0.1-lp153.2.13 | Forest Health Evaluation System at the Forest Stand Level in |
| R-forestinventory | 1.0.0-lp153.15.2 | Design-Based Global and Small-Area Estimations for Multiphas |
| R-forestmodel | 0.6.2-lp153.16.2 | Forest Plots from Regression Models |
| R-forestploter | 1.1.2-lp153.2.2 | Create a Flexible Forest Plot |
| R-forestr | 2.0.2-lp153.18.2 | Ecosystem and Canopy Structural Complexity Metrics from LiDA |
| R-forestRK | 0.0.5-lp153.16.4 | Implements the Forest-R.K. Algorithm for Classification Prob |
| R-forestry | 0.1.1-lp153.2.2 | Reshape Data Tree |
| R-forestSAS | 1.0.1-lp153.1.13 | Forest Spatial Structure Analysis Systems |
| R-forge | 0.2.0-lp153.3.5 | Casting Values into Shape |
| R-forImage | 0.1.0-lp153.13.7 | Foraminiferal Image Analysis and Test Measurement |
| R-ForImp | 1.0.3-lp153.5.13 | Imputation of Missing Values Through a Forward Imputation Al |
| R-ForIT | 2.4.0-lp153.1.2 | Functions to Estimate Tree Volume and Phytomass in the Itali |
| R-FormalSeries | 1.0-lp153.2.13 | Elementary arithemtic in formal series rings |
| R-formatBibtex | 0.1.0-lp153.1.7 | Format BibTeX Entries and Files |
| R-formatdown | 0.1.4-lp153.2.2 | Formatting Numbers in \'rmarkdown\' Documents |
| R-formatR | 1.0-1.25 | Format R Code Automatically |
| R-formatR | 1.0-lp155.1.5 | Format R Code Automatically |
| R-formatR | 1.0-lp154.1.10 | Format R Code Automatically |
| R-formatR | 1.0-lp153.1.23 | Format R Code Automatically |
| R-formatR | 1.14-lp153.1.7 | Format R Code Automatically |
| R-formatR | 1.0-1.38 | Format R Code Automatically |
| R-formattable | 0.2.1-lp153.19.2 | Create \'Formattable\' Data Structures |
| R-FormShare | 1.0.1-lp153.1.7 | A Simple Connection Between the \'FormShare App\' and \'R\' |
| R-Formula | 1.1_2-lp153.1.27 | Extended Model Formulas |
| R-Formula | 1.1_2-1.30 | Extended Model Formulas |
| R-Formula | 1.1_2-lp155.1.5 | Extended Model Formulas |
| R-Formula | 1.1_2-lp154.1.10 | Extended Model Formulas |
| R-Formula | 1.1_2-1.38 | Extended Model Formulas |
| R-Formula | 1.2.5-lp153.1.7 | Extended Model Formulas |
| R-formula.tools | 1.7.1-lp153.2.13 | Programmatic Utilities for Manipulating Formulas, Expression |
| R-formulaic | 0.0.8-lp153.1.13 | Dynamic Generation and Quality Checks of Formula Objects |
| R-formulops | 0.5.0-lp153.2.13 | Mathematical Operations on R Formula |
| R-FormulR | 1.0.0-lp153.1.2 | Comprehensive Tools for Drug Formulation Analysis and Visual |
| R-forplo | 0.2.5-lp153.1.7 | Flexible Forest Plots |
| R-forstringr | 1.0.0-lp153.2.2 | String Manipulation Package for Those Familiar with \'Micros |
| R-fortunes | 1.5.4-lp153.2.13 | R Fortunes |
| R-forwards | 0.1.3-lp153.2.13 | Data from Surveys Conducted by Forwards |
| R-ForwardSearch | 1.0-lp153.2.13 | Forward Search using asymptotic theory |
| R-fossil | 0.4.0-lp153.2.13 | Palaeoecological and Palaeogeographical Analysis Tools |
| R-FossilSim | 2.3.3-lp153.2.2 | Simulation of Fossil and Taxonomy Data |
| R-FossilSimShiny | 1.1.2-lp155.3.1 | Shiny Application for \'FossilSim\' |
| R-FossilSimShiny | 1.1.2-lp153.3.1 | Shiny Application for \'FossilSim\' |
| R-FossilSimShiny | 1.1.2-lp154.3.1 | Shiny Application for \'FossilSim\' |
| R-foster | 0.1.1-lp153.14.7 | Forest Structure Extrapolation with R |
| R-foto | 1.1-lp153.1.4 | Fourier Transform Textural Ordination |
| R-FourgameteP | 0.1.0-lp153.2.13 | FourGamete Test |
| R-FourScores | 1.5.1-lp153.2.13 | A Game for Human vs. Human or Human vs. AI |
| R-FourWayHMM | 1.0.0-lp153.8.2 | Parsimonious Hidden Markov Models for Four-Way Data |
| R-fpa | 1.0-lp153.10.5 | Spatio-Temporal Fixation Pattern Analysis |
| R-fpc | 2.1_9-lp154.2.10 | Flexible procedures for clustering |
| R-fpc | 2.1_9-lp153.2.23 | Flexible procedures for clustering |
| R-fpc | 2.1_9-2.24 | Flexible procedures for clustering |
| R-fpc | 2.2.12-lp153.2.2 | Flexible procedures for clustering |
| R-fpc | 2.1_9-2.39 | Flexible procedures for clustering |
| R-fpca | 0.2.1-lp153.2.13 | Restricted MLE for Functional Principal Components Analysis |
| R-FPCA2D | 1.0-lp153.2.13 | Two Dimensional Functional Principal Component Analysis |
| R-FPCA3D | 1.0-lp153.2.13 | Three Dimensional Functional Component Analysis |
| R-fpcb | 0.1.0-lp153.1.12 | Predictive Confidence Bands for Functional Time Series Forec |
| R-fpCompare | 0.2.4-lp153.1.8 | Reliable Comparison of Floating Point Numbers |
| R-fpest | 0.1.1-lp153.2.13 | Estimating Finite Population Total |
| R-FPLdata | 0.1.0-lp153.7.5 | Read in Fantasy Premier League Data |
| R-fplyr | 1.3.0-lp153.1.5 | Apply Functions to Blocks of Files |
| R-fpmoutliers | 0.1.0-lp153.4.12 | Frequent Pattern Mining Outliers |
| R-fpop | 2019.08.26-lp153.2.13 | Segmentation using Optimal Partitioning and Function Pruning |
| R-fpopw | 1.1-lp153.1.9 | Weighted Segmentation using Functional Pruning and Optimal P |
| R-fPortfolio | 3042.83.1-lp153.6.9 | Rmetrics - Portfolio Selection and Optimization |
| R-fpow | 0.0.2-lp153.2.13 | Computing the noncentrality parameter of the noncentral F di |
| R-fptdApprox | 2.5-lp153.1.4 | Approximation of First-Passage-Time Densities for Diffusion |
| R-FPV | 0.5-lp153.2.13 | Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment |
| R-fqacalc | 1.1.0-lp153.1.5 | Calculate Floristic Quality Assessment Metrics |
| R-fqadata | 1.1.0-lp153.1.5 | Contains Regional Floristic Quality Assessment Databases |
| R-fr | 0.5.1-lp153.1.4 | Frictionless Standards |
| R-fracdiff | 1.4_2-lp153.2.24 | Fractionally differenced ARIMA aka ARFIMA(p,d,q) models |
| R-fracdiff | 1.4_2-lp155.2.5 | Fractionally differenced ARIMA aka ARFIMA(p,d,q) models |
| R-fracdiff | 1.4_2-2.32 | Fractionally differenced ARIMA aka ARFIMA(p,d,q) models |
| R-fracdiff | 1.5.3-lp153.1.4 | Fractionally differenced ARIMA aka ARFIMA(p,d,q) models |
| R-fracdiff | 1.4_2-2.38 | Fractionally differenced ARIMA aka ARFIMA(p,d,q) models |
| R-fracdiff | 1.4_2-lp154.2.10 | Fractionally differenced ARIMA aka ARFIMA(p,d,q) models |
| R-fracdist | 0.1.1-lp153.1.12 | Numerical CDFs for Fractional Unit Root and Cointegration Te |
| R-fracprolif | 1.0.7-lp153.2.13 | Fraction Proliferation via a Quiescent Growth Model |
| R-fractaldim | 0.8.5-lp153.1.12 | Estimation of Fractal Dimensions |
| R-FractalParameterEstimation | 1.1.2-lp153.2.13 | Simulation and Parameter Estimation of Randomized Sierpinski |
| R-FRACTION | 1.1.1-lp153.1.5 | Numeric Number into Fraction |
| R-Fragman | 1.0.9-lp153.2.13 | Fragment Analysis in R |
| R-frailtyHL | 2.3-lp153.2.13 | Frailty Models via Hierarchical Likelihood |
| R-frair | 0.5.100-lp153.3.10 | Tools for Functional Response Analysis |
| R-frambgrowth | 0.1.0-lp153.2.13 | Simulation of the Growth of Framboidal and Sunflower Pyrite |
| R-Frames2 | 0.2.1-lp153.2.13 | Estimation in Dual Frame Surveys |
| R-franc | 1.1.4-lp153.1.12 | Detect the Language of Text |
| R-FRAPO | 0.4.1-lp153.3.7 | Financial Risk Modelling and Portfolio Optimisation with R |
| R-frapplot | 0.1.3-lp153.2.13 | Automatic Data Processing and Visualization for FRAP |
| R-frbinom | 1.0.0-lp153.1.5 | Fractional Binomial Distributions |
| R-frbs | 3.2.0-lp153.2.13 | Fuzzy Rule-Based Systems for Classification and Regression T |
| R-FRCC | 1.1.0-lp153.1.7 | Fast Regularized Canonical Correlation Analysis |
| R-frechet | 0.3.0-lp153.4.2 | Statistical Analysis for Random Objects and Non-Euclidean Da |
| R-fredr | 2.1.0-lp153.9.5 | An R Client for the \'FRED\' API |
| R-freebird | 1.0-lp153.1.8 | Estimation and Inference for High Dimensional Mediation and |
| R-freecurrencyapi | 0.1.0-lp153.1.5 | Client for the \'freecurrencyapi.com\' Currency Conversion A |
| R-freedom | 1.0.1-lp153.2.12 | Demonstration of Disease Freedom (DDF) |
| R-FreeSortR | 1.3-lp153.33.5 | Free Sorting Data Analysis |
| R-freesurfer | 1.6.10-lp153.2.2 | Wrapper Functions for \'Freesurfer\' |
| R-freesurferformats | 0.1.18-lp153.1.4 | Read and Write \'FreeSurfer\' Neuroimaging File Formats |
| R-freewall | 1.0.0-lp153.2.2 | A Wrapper of the JavaScript Library \'Freewall\' |
| R-FREG | 1.1-lp153.1.9 | Functional Regression Models |
| R-fRegression | 4021.83-lp153.1.8 | Rmetrics - Regression Based Decision and Prediction |
| R-frenchCurve | 0.2.0-lp153.1.9 | Generate Open or Closed Interpolating Curves |
| R-frenchdata | 0.2.0-lp153.10.4 | Download Data Sets from Kenneth\'s French Finance Data Libra |
| R-FREQ | 1.0-lp153.2.13 | FREQ: Estimate population size from capture frequencies |
| R-freqdist | 0.1-lp153.2.13 | Frequency Distribution |
| R-freqdistributionNogives | 0.1.1-lp153.1.11 | Automated Cumulative Frequency Plots for Grouped Distributio |
| R-freqdom | 2.0.5-lp153.2.2 | Frequency Domain Based Analysis: Dynamic PCA |
| R-freqdom.fda | 1.0.1-lp153.7.4 | Functional Time Series: Dynamic Functional Principal Compone |
| R-freqpcr | 0.4.0-lp153.2.7 | Estimates Allele Frequency on qPCR DeltaDeltaCq from Bulk Sa |
| R-FreqProf | 0.0.1-lp153.20.2 | Frequency Profiles Computing and Plotting |
| R-freqtables | 0.1.1-lp153.8.2 | Make Quick Descriptive Tables for Categorical Variables |
| R-frequency | 0.4.1-lp153.29.2 | Easy Frequency Tables |
| R-frequencyConnectedness | 0.2.4-lp153.2.5 | Spectral Decomposition of Connectedness Measures |
| R-frequentdirections | 0.1.0-lp153.14.5 | Implementation of Frequent-Directions Algorithm for Efficien |
| R-frequentistSSD | 0.1.1-lp153.1.10 | Screened Selection Design with Survival Endpoints |
| R-freshr | 1.0.2-lp153.1.8 | Make R Environment Fresh Again |
| R-FrF2 | 2.3.3-lp153.2.4 | Fractional Factorial designs with 2-level factors |
| R-FrF2 | 1.7_1-lp154.2.10 | Fractional Factorial designs with 2-level factors |
| R-FrF2 | 1.7_1-2.27 | Fractional Factorial designs with 2-level factors |
| R-FrF2 | 1.7_1-2.52 | Fractional Factorial designs with 2-level factors |
| R-FrF2 | 1.7_1-lp153.2.23 | Fractional Factorial designs with 2-level factors |
| R-FrF2 | 1.7_1-lp155.2.5 | Fractional Factorial designs with 2-level factors |
| R-FrF2.catlg128 | 1.2.3-lp153.2.4 | Catalogues of Resolution IV 128 Run 2-Level Fractional Facto |
| R-FRI | 1.0-lp153.5.7 | Relative Importance of Main and Interaction Effects |
| R-friends | 0.1.0-lp153.11.5 | The Entire Transcript from Friends in Tidy Format |
| R-fritools | 4.3.0-lp153.1.4 | Utilities for the Forest Research Institute of the State Bad |
| R-fritools2 | 4.1.0-lp153.1.5 | Utilities for the Forest Research Institute of the State Bad |
| R-frm | 1.2.2-lp153.2.13 | Regression Analysis of Fractional Responses |
| R-frmhet | 1.1.3-lp153.2.13 | Regression Analysis of Fractional Responses Under Unobserved |
| R-frmpd | 1.1.0-lp153.2.13 | Regression Analysis of Panel Fractional Responses |
| R-frontier | 1.1.8-lp153.6.11 | Stochastic Frontier Analysis |
| R-frontiles | 1.3-lp153.1.5 | Partial Frontier Efficiency Analysis |
| R-frost | 0.0.4-lp153.2.13 | Prediction of Minimum Temperature for Frost Forecasting in A |
| R-frostr | 0.2.0-lp153.14.2 | R API to MET Norway\'s \'Frost\' API |
| R-froth | 1.1.0-lp153.2.2 | Emulate a \'Forth\' Programming Environment |
| R-frt | 0.1-lp153.2.13 | Full Randomization Test |
| R-fruclimadapt | 0.4.5-lp153.1.7 | Evaluation Tools for Assessing Climate Adaptation of Fruit T |
| R-fs | 1.3.1-lp155.2.5 | Cross-Platform File System Operations Based on \'libuv\' |
| R-fs | 1.6.4-lp153.2.2 | Cross-Platform File System Operations Based on \'libuv\' |
| R-fs | 1.3.1-lp153.2.25 | Cross-Platform File System Operations Based on \'libuv\' |
| R-fs | 1.3.1-2.30 | Cross-Platform File System Operations Based on \'libuv\' |
| R-fs | 1.3.1-lp154.2.10 | Cross-Platform File System Operations Based on \'libuv\' |
| R-FSAdata | 0.4.1-lp153.1.5 | Data to Support Fish Stock Assessment (\'FSA\') Package |
| R-FSAtools | 2.0.5-lp153.1.5 | Fragment Analysis and Capillary Sequencing Tool Kit |
| R-fsbrain | 0.5.3-lp153.11.5 | Managing and Visualizing Brain Surface Data |
| R-fscache | 1.0.5-lp153.1.2 | File System Cache |
| R-fsemipar | 1.1.1-lp153.2.2 | Estimation, Variable Selection and Prediction for Functional |
| R-fsia | 1.1.1-lp153.2.13 | Import and Analysis of OMR Data from FormScanner |
| R-FSinR | 2.0.5-lp153.21.2 | Feature Selection |
| R-fslr | 2.25.3-lp153.2.2 | Wrapper Functions for \'FSL\' (\'FMRIB\' Software Library) f |
| R-FSM | 1.0.0-lp153.1.13 | Finite Selection Model |
| R-fsMTS | 0.1.7-lp153.13.4 | Feature Selection for Multivariate Time Series |
| R-FSMUMI | 1.0-lp153.12.3 | Imputation of Time Series Based on Fuzzy Logic |
| R-fso | 2.1.2-lp153.2.7 | Fuzzy Set Ordination |
| R-fSRM | 0.6.5-lp153.12.7 | Social Relations Analyses with Roles (\"Family SRM\") |
| R-fst4pg | 1.0.0-lp153.9.2 | Genetic Distance Segmentation for Population Genetics |
| R-Fstability | 0.1.2-lp153.2.13 | Calculate Feature Stability |
| R-fsthet | 1.0.1-lp153.2.13 | Fst-Heterozygosity Smoothed Quantiles |
| R-FSTpackage | 0.1-lp153.4.7 | Unified Sequence-Based Association Tests Allowing for Multip |
| R-ftaproxim | 0.0.1-lp153.6.7 | Fault Tree Analysis Based on Proxel Simulation |
| R-ftDK | 1.0-lp153.16.7 | A Wrapper for the API of the Danish Parliament |
| R-FTICRMS | 0.8-lp153.2.13 | Programs for Analyzing Fourier Transform-Ion Cyclotron Reson |
| R-ftnonpar | 0.1.88-lp153.2.13 | Features and Strings for Nonparametric Regression |
| R-fTrading | 3042.79-lp153.2.13 | Rmetrics - Trading and Rebalancing Financial Instruments |
| R-ftrCOOL | 2.0.0-lp153.1.11 | Feature Extraction from Biological Sequences |
| R-fts | 0.9.9.2-1.34 | R Interface to \'tslib\' (a Time Series Library in C++) |
| R-fts | 0.9.9.2-1.30 | R Interface to \'tslib\' (a Time Series Library in C++) |
| R-fts | 0.9.9.2-lp153.1.23 | R Interface to \'tslib\' (a Time Series Library in C++) |
| R-fts | 0.9.9.2-lp154.1.10 | R Interface to \'tslib\' (a Time Series Library in C++) |
| R-fts | 0.9.9.2-lp153.2.14 | R Interface to \'tslib\' (a Time Series Library in C++) |
| R-fts | 0.9.9.2-lp155.1.5 | R Interface to \'tslib\' (a Time Series Library in C++) |
| R-ftsspec | 1.0.0-lp153.12.5 | Spectral Density Estimation and Comparison for Functional Ti |
| R-fuel | 1.2.0-lp153.2.13 | Framework for Unified Estimation in Lognormal Models |
| R-fueleconomy | 1.0.0-lp153.2.13 | EPA Fuel Economy Data |
| R-fugue | 0.1.7-lp153.2.13 | Sensitivity Analysis Optimized for Matched Sets of Varied Si |
| R-fuj | 0.2.1-lp153.2.2 | Functions and Utilities for Jordan |
| R-fullROC | 0.1.0-lp153.1.13 | Plot Full ROC Curves using Eyewitness Lineup Data |
| R-fun | 0.3-lp153.2.13 | Use R for Fun |
| R-FunCC | 1.0-lp153.17.2 | Functional Cheng and Church Bi-Clustering |
| R-funcharts | 1.4.1-lp153.4.2 | Functional Control Charts |
| R-funchir | 0.2.2-lp153.1.10 | Convenience Functions by Michael Chirico |
| R-FunCluster | 1.09-lp153.10.11 | Functional Profiling of Microarray Expression Data |
| R-FuncMap | 1.0.10-lp153.2.13 | Hive Plots of R Package Function Calls |
| R-functClust | 0.1.6-lp153.2.13 | Functional Clustering of Redundant Components of a System |
| R-functional | 0.6-lp153.2.13 | Curry, Compose, and other higher-order functions |
| R-functiondepends | 0.2.3-lp153.9.2 | Find Functions and their Dependencies |
| R-functools | 0.2.0-lp153.2.13 | Functional Programming in R |
| R-funData | 1.3.9-lp153.1.4 | An S4 Class for Functional Data |
| R-fundiversity | 1.1.1-lp153.2.7 | Easy Computation of Functional Diversity Indices |
| R-funest | 0.0.1.3-lp153.11.12 | Functional Ensemble Survival Tree for Dynamic Prediction |
| R-funFEM | 1.2-lp153.8.4 | Clustering in the Discriminative Functional Subspace |
| R-fungible | 2.0-lp153.1.11 | Psychometric Functions from the Waller Lab |
| R-funGp | 1.0.0-lp153.2.2 | Gaussian Process Models for Scalar and Functional Inputs |
| R-funHDDC | 2.3.1-lp153.10.5 | Univariate and Multivariate Model-Based Clustering in Group- |
| R-funique | 0.0.1-lp153.2.13 | A Faster Unique Function |
| R-fUnitRoots | 4040.81-lp153.2.2 | Rmetrics - Modelling Trends and Unit Roots |
| R-funLBM | 2.3-lp153.8.4 | Model-Based Co-Clustering of Functional Data |
| R-funModeling | 1.9.5-lp153.2.2 | Exploratory Data Analysis and Data Preparation Tool-Box |
| R-funneljoin | 0.2.0-lp153.3.2 | Time-Based Joins to Analyze Sequences of Events |
| R-FunnelPlotR | 0.5.0-lp153.2.2 | Funnel Plots for Comparing Institutional Performance |
| R-funnelR | 0.1.0-lp153.14.5 | Funnel Plots for Proportion Data |
| R-funpca | 9.0-lp153.2.4 | Functional Principal Component Analysis |
| R-funprog | 0.3.0-lp153.2.13 | Functional Programming |
| R-funr | 0.3.2-lp153.2.13 | Simple Utility Providing Terminal Access to all R Functions |
| R-funrar | 1.5.0-lp153.1.8 | Functional Rarity Indices Computation |
| R-funreg | 1.2.2-lp153.1.12 | Functional Regression for Irregularly Timed Data |
| R-funspotr | 0.0.4-lp153.2.2 | Spot R Functions & Packages |
| R-funStatTest | 1.0.3-lp153.2.2 | Statistical Testing for Functional Data |
| R-FUNTA | 0.1.0-lp153.2.13 | Functional Tangential Angle Pseudo-Depth |
| R-furniture | 1.9.14-lp153.1.5 | Furniture for Quantitative Scientists |
| R-furrr | 0.2.1-lp155.1.5 | Apply Mapping Functions in Parallel using Futures |
| R-furrr | 0.3.1-lp153.3.7 | Apply Mapping Functions in Parallel using Futures |
| R-furrr | 0.2.1-1.18 | Apply Mapping Functions in Parallel using Futures |
| R-furrr | 0.2.1-1.14 | Apply Mapping Functions in Parallel using Futures |
| R-furrr | 0.2.1-lp153.1.14 | Apply Mapping Functions in Parallel using Futures |
| R-furrr | 0.2.1-lp154.1.10 | Apply Mapping Functions in Parallel using Futures |
| R-fusedMGM | 0.1.0.1-lp153.1.2 | Implementation of Fused MGM to Infer 2-Class Networks |
| R-fusionchartsR | 0.0.3-lp153.11.2 | Embedding \'FusionCharts Javascript\' Library in R |
| R-fusionclust | 1.0.0-lp153.2.13 | Clustering and Feature Screening using L1 Fusion Penalty |
| R-FusionLearn | 0.2.1-lp153.1.9 | Fusion Learning |
| R-futile.logger | 1.4.3-lp153.2.13 | A logging utility for R |
| R-futile.options | 1.0.1-lp153.2.13 | Futile options management |
| R-futile.paradigm | 2.0.4-lp153.2.13 | A framework for working in a functional programming paradigm |
| R-futility | 0.4-lp153.2.13 | Interim Analysis of Operational Futility in Randomized Trial |
| R-future | 1.19.1-1.14 | Unified Parallel and Distributed Processing in R for Everyon |
| R-future | 1.19.1-lp153.1.14 | Unified Parallel and Distributed Processing in R for Everyon |
| R-future | 1.19.1-1.16 | Unified Parallel and Distributed Processing in R for Everyon |
| R-future | 1.19.1-lp155.1.5 | Unified Parallel and Distributed Processing in R for Everyon |
| R-future | 1.19.1-lp154.1.10 | Unified Parallel and Distributed Processing in R for Everyon |
| R-future.apply | 1.3.0-lp155.1.5 | Apply Function to Elements in Parallel using Futures |
| R-future.apply | 1.3.0-1.34 | Apply Function to Elements in Parallel using Futures |
| R-future.apply | 1.11.2-lp153.2.2 | Apply Function to Elements in Parallel using Futures |
| R-future.apply | 1.3.0-lp154.1.10 | Apply Function to Elements in Parallel using Futures |
| R-future.apply | 1.3.0-1.14 | Apply Function to Elements in Parallel using Futures |
| R-future.apply | 1.3.0-lp153.1.14 | Apply Function to Elements in Parallel using Futures |
| R-future.BatchJobs | 0.16.2-lp153.3.13 | A Future API for Parallel and Distributed Processing using B |
| R-future.batchtools | 0.12.1-lp153.2.2 | A Future API for Parallel and Distributed Processing using \ |
| R-future.callr | 0.8.2-lp153.1.5 | A Future API for Parallel Processing using \'callr\' |
| R-future.tests | 0.7.0-lp153.1.5 | Test Suite for \'Future API\' Backends |
| R-futureverse | 0.1.0-lp153.1.2 | Easily Install and Load the \'Futureverse\' |
| R-fuzzr | 0.2.2-lp153.10.4 | Fuzz-Test R Functions |
| R-Fuzzy.p.value | 1.1-lp153.2.13 | Computing Fuzzy p-Value |
| R-FuzzyAHP | 0.9.5-lp153.2.13 | (Fuzzy) AHP Calculation |
| R-FuzzyClass | 0.1.6-lp153.1.4 | Fuzzy and Non-Fuzzy Classifiers |
| R-fuzzyFDR | 1.0-lp153.2.13 | Exact calculation of fuzzy decision rules for multiple testi |
| R-fuzzyforest | 1.0.8-lp153.14.5 | Fuzzy Forests |
| R-fuzzyjoin | 0.1.6-lp153.18.2 | Join Tables Together on Inexact Matching |
| R-FuzzyLP | 0.1.7-lp153.1.5 | Fuzzy Linear Programming |
| R-FuzzyM | 0.1.0-lp153.1.11 | Fuzzy Cognitive Maps Operations |
| R-FuzzyMCDM | 1.1-lp153.2.13 | Multi-Criteria Decision Making Methods for Fuzzy Data |
| R-FuzzyNumbers | 0.4.7-lp153.1.11 | Tools to Deal with Fuzzy Numbers |
| R-FuzzyNumbers.Ext.2 | 3.2-lp153.2.13 | Apply Two Fuzzy Numbers on a Monotone Function |
| R-FuzzyQ | 0.1.0-lp153.1.13 | Fuzzy Quantification of Common and Rare Species |
| R-FuzzyR | 2.3.2-lp153.10.2 | Fuzzy Logic Toolkit for R |
| R-fuzzyRankTests | 0.4-lp153.1.12 | Fuzzy Rank Tests and Confidence Intervals |
| R-fuzzyreg | 0.6.2-lp153.1.5 | Fuzzy Linear Regression |
| R-fuzzySim | 4.10.7-lp153.1.4 | Fuzzy Similarity in Species Distributions |
| R-FuzzyStatProb | 2.0.4-lp153.4.7 | Fuzzy Stationary Probabilities from a Sequence of Observatio |
| R-FuzzyStatTra | 1.0-lp153.2.13 | Statistical Methods for Trapezoidal Fuzzy Numbers |
| R-FuzzyStatTraEOO | 1.0-lp153.2.7 | Package \'FuzzyStatTra\' in Encapsulated Object Oriented Pro |
| R-FuzzyToolkitUoN | 1.0-lp153.2.13 | Type 1 Fuzzy Logic Toolkit |
| R-fuzzywuzzyR | 1.0.5-lp153.5.5 | Fuzzy string matching |
| R-fwb | 0.2.0-lp153.1.4 | Fractional Weighted Bootstrap |
| R-FWDselect | 2.1.0-lp153.2.13 | Selecting Variables in Regression Models |
| R-fwi.fbp | 1.7-lp153.2.13 | Fire Weather Index System and Fire Behaviour Prediction Syst |
| R-fxl | 1.7.1-lp153.1.2 | \'fxl\' Single Case Design Charting Package |
| R-fxtract | 0.9.4-lp153.3.13 | Feature Extraction from Grouped Data |
| R-fy | 0.4.2-lp153.1.5 | Utilities for Financial Years |
| R-g.data | 2.4.1-lp153.1.4 | Delayed-Data Packages |
| R-g.ridge | 1.0-lp153.1.4 | Generalized Ridge Regression for Linear Models |
| R-G1DBN | 3.1.1-lp153.2.13 | A package performing Dynamic Bayesian Network inference. |
| R-g3viz | 1.1.4-lp153.2.12 | Interactively Visualize Genetic Mutation Data using a Lollip |
| R-GAabbreviate | 1.3-lp153.7.7 | Abbreviating Items Measures using Genetic Algorithms |
| R-GABi | 0.1-lp153.2.13 | Framework for Generalized Subspace Pattern Mining |
| R-GACFF | 1.0-lp153.2.13 | Genetic Similarity in User-Based Collaborative Filtering |
| R-GAD | 2.0-lp153.2.2 | Analysis of Variance from General Principles |
| R-gadget2 | 2.3.11-lp153.1.5 | Gadget is the Globally-Applicable Area Disaggregated General |
| R-GaDiFPT | 1.0-lp153.2.13 | First Passage Time Simulation for Gaussian Diffusion Process |
| R-gafit | 0.5.1-lp153.2.13 | Genetic Algorithm for Curve Fitting |
| R-GAGBLUP | 1.0-lp153.1.5 | Genetic Algorithm Assisted Genomic Best Liner Unbiased Predi |
| R-gaiah | 0.0.5-lp153.2.4 | Genetic and Isotopic Assignment Accounting for Habitat Suita |
| R-gainML | 0.1.0-lp153.11.5 | Machine Learning-Based Analysis of Potential Power Gain from |
| R-gains | 1.2-lp153.2.13 | Lift (Gains) Tables and Charts |
| R-GAIPE | 1.1-lp153.1.9 | Graphical Extension with Accuracy in Parameter Estimation (G |
| R-galigor | 0.2.5-lp153.15.2 | Collection of Packages for Internet Marketing |
| R-galts | 1.3.2-lp153.1.5 | Genetic Algorithms and C-Steps Based LTS (Least Trimmed Squa |
| R-galvanizer | 0.5.3-lp153.13.2 | Interface to Galvanize \'Highbond\' Internal Audit Software |
| R-gamair | 1.0.2-lp153.2.13 | Data for \'GAMs: An Introduction with R\' |
| R-gambin | 2.5.0-lp153.1.13 | Fit the Gambin Model to Species Abundance Distributions |
| R-GAMBoost | 1.2.3-lp153.1.13 | Generalized linear and additive models by likelihood based |
| R-gamboostLSS | 2.0.7-lp153.1.5 | Boosting Methods for \'GAMLSS\' |
| R-gamboostMSM | 1.1.88-lp153.1.9 | Boosting Multistate Models |
| R-gamclass | 0.62.5-lp153.1.5 | Functions and Data for a Course on Modern Regression and Cla |
| R-gamCopula | 0.0.7-lp153.7.4 | Generalized Additive Models for Bivariate Conditional Depend |
| R-GAMens | 1.2.1-lp153.3.12 | Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for B |
| R-gameofthrones | 1.0.2-lp153.11.8 | Palettes Inspired in the TV Show \"Game of Thrones\" |
| R-gameR | 0.0.6-lp153.2.2 | Color Palettes Inspired by Video Games |
| R-games | 1.1.2-lp153.5.10 | Statistical Estimation of Game-Theoretic Models |
| R-gamesGA | 1.1.3.7-lp153.13.2 | Genetic Algorithm for Sequential Symmetric Games |
| R-GameTheory | 2.7.1-lp153.1.5 | Cooperative Game Theory |
| R-GameTheoryAllocation | 1.0-lp153.4.7 | Tools for Calculating Allocations in Game Theory |
| R-gamlr | 1.13.8-lp153.1.5 | Gamma Lasso Regression |
| R-gamlss | 5.4.22-lp153.2.2 | Generalized Additive Models for Location Scale and Shape |
| R-gamlss.add | 5.1.13-lp153.2.2 | Extra Additive Terms for Generalized Additive Models for Loc |
| R-gamlss.cens | 5.0.7-lp153.1.5 | Fitting an Interval Response Variable Using `gamlss.family\' |
| R-gamlss.countKinf | 3.5.1-lp153.2.13 | Generating and Fitting K-Inflated \'discrete gamlss.family\' |
| R-gamlss.data | 6.0.6-lp153.2.2 | Data for Generalised Additive Models for Location Scale and |
| R-gamlss.demo | 4.3.3-lp153.1.12 | Demos for GAMLSS |
| R-gamlss.dist | 6.1.1-lp153.1.5 | Distributions for Generalized Additive Models for Location S |
| R-gamlss.foreach | 1.1.6-lp153.2.7 | Parallel Computations for Distributional Regression |
| R-gamlss.ggplots | 2.1.12-lp153.2.2 | Plotting Functions for Generalized Additive Model for Locati |
| R-gamlss.inf | 1.0.1-lp153.2.13 | Fitting Mixed (Inflated and Adjusted) Distributions |
| R-gamlss.lasso | 1.0.1-lp153.3.7 | Extra Lasso-Type Additive Terms for GAMLSS |
| R-gamlss.mx | 6.0.1-lp153.1.4 | Fitting Mixture Distributions with GAMLSS |
| R-gamlss.nl | 4.1.0-lp153.2.13 | Fitting non linear parametric GAMLSS models |
| R-gamlss.spatial | 3.0.2-lp153.2.5 | Spatial Terms in Generalized Additive Models for Location Sc |
| R-gamlss.tr | 5.1.9-lp153.1.4 | Generating and Fitting Truncated `gamlss.family\' Distributi |
| R-gamlssbssn | 0.1.0-lp153.2.13 | Bimodal Skew Symmetric Normal Distribution |
| R-gamm4.test | 0.1.0-lp153.15.10 | Comparing Nonlinear Curves and Surface Estimations by Semipa |
| R-gamma | 1.0.5-lp153.2.2 | Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry Mea |
| R-Gammareg | 3.0.1-lp153.1.4 | Classic Gamma Regression: Joint Modeling of Mean and Shape P |
| R-gammSlice | 2.0.2-lp153.2.13 | Generalized Additive Mixed Model Analysis via Slice Sampling |
| R-gamRR | 0.7.0-lp153.2.13 | Calculate the RR for the GAM |
| R-GANPA | 1.2-lp153.2.2 | Gene Association Network-Based Pathway Analysis (GANPA) |
| R-GANPAdata | 1.0-lp153.2.13 | The GANPA Datasets Package |
| R-gap | 1.1.22-lp155.2.5 | Genetic analysis package |
| R-gap | 1.1.22-lp153.2.25 | Genetic analysis package |
| R-gap | 1.1.22-2.32 | Genetic analysis package |
| R-gap | 1.1.22-lp154.2.10 | Genetic analysis package |
| R-gap | 1.1.22-2.38 | Genetic analysis package |
| R-gap.datasets | 0.0.6-lp153.1.5 | Datasets for \'gap\' |
| R-GapAnalysis | 1.0.2-lp153.10.7 | Conservation Indicators using Spatial Information |
| R-GAparsimony | 0.9.5-lp153.1.5 | Searching Parsimony Models with Genetic Algorithms |
| R-gapclosing | 1.0.2-lp153.10.2 | Estimate Gaps Under an Intervention |
| R-gapmap | 1.0.0-lp153.1.4 | Drawing Gapped Cluster Heatmaps with \'ggplot2\' |
| R-gapminder | 1.0.0-lp153.1.5 | Data from Gapminder |
| R-GARCHIto | 0.1.0-lp153.2.13 | Class of GARCH-Ito Models |
| R-GARCHSK | 0.1.0-lp153.1.12 | Estimating a GARCHSK Model and GJRSK Model |
| R-garchx | 1.5-lp153.1.8 | Flexible and Robust GARCH-X Modelling |
| R-gargle | 1.5.2-lp153.1.5 | Utilities for Working with Google APIs |
| R-gargoyle | 0.0.1-lp153.11.2 | An Event-Based Mechanism for \'Shiny\' |
| R-garray | 1.1.2-lp153.2.13 | Generalized Array Arithmetic for Ragged Arrays with Named Ma |
| R-gaston | 1.5.6-lp154.1.10 | Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Mode |
| R-gaston | 1.5.6-lp153.1.23 | Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Mode |
| R-gaston | 1.5.6-1.30 | Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Mode |
| R-gaston | 1.5.6-1.27 | Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Mode |
| R-gaston-devel | 1.5.6-1.30 | Development files for R-gaston |
| R-gaston-devel | 1.5.6-1.27 | Development files for R-gaston |
| R-gaston-devel | 1.5.6-lp154.1.10 | Development files for R-gaston |
| R-gaston-devel | 1.5.6-lp153.1.23 | Development files for R-gaston |
| R-gatepoints | 0.1.5-lp153.1.5 | Easily Gate or Select Points on a Scatter Plot |
| R-gateR | 0.1.15-lp153.1.4 | Flow/Mass Cytometry Gating via Spatial Kernel Density Estima |
| R-gatoRs | 1.0.2-lp153.2.2 | Geographic and Taxonomic Occurrence R-Based Scrubbing |
| R-gauseR | 1.2-lp153.1.5 | Lotka-Volterra Models for Gause\'s \'Struggle for Existence\ |
| R-gausscov | 1.1.3-lp153.2.2 | The Gaussian Covariate Method for Variable Selection |
| R-gaussDiff | 1.1-lp153.2.13 | Difference measures for multivariate Gaussian probability de |
| R-gaussfacts | 0.0.2-lp153.2.13 | The Greatest Mathematician Since Antiquity |
| R-GaussianHMM1d | 1.1.1-lp153.1.5 | Inference, Goodness-of-Fit and Forecast for Univariate Gauss |
| R-gaussplotR | 0.2.5-lp153.21.5 | Fit, Predict and Plot 2D Gaussians |
| R-gaussquad | 1.0.3-lp153.1.9 | Collection of Functions for Gaussian Quadrature |
| R-gawdis | 0.1.5-lp153.1.5 | Multi-Trait Dissimilarity with more Uniform Contributions |
| R-gazepath | 1.3-lp153.12.5 | Parse Eye-Tracking Data into Fixations |
| R-gb | 2.3.3-lp153.2.13 | Generalize Lambda Distribution and Generalized Bootstrapping |
| R-GB2 | 2.1.1-lp153.4.2 | Generalized Beta Distribution of the Second Kind: Properties |
| R-GB2group | 0.3.0-lp153.4.2 | Estimation of the Generalised Beta Distribution of the Secon |
| R-GBcurves | 0.1.6-lp153.1.11 | Yield Curves of Brazil, China, and Russia |
| R-gbfs | 1.3.9-lp153.1.4 | Interface with Live Bikeshare Data |
| R-gbifdb | 1.0.0-lp153.2.2 | High Performance Interface to \'GBIF\' |
| R-gbm.auto | 1.5.0-lp153.6.7 | Automated Boosted Regression Tree Modelling and Mapping Suit |
| R-gbm2sas | 3.0-lp153.1.4 | Convert GBM Object Trees to SAS Code |
| R-gbmt | 0.1.3-lp153.1.11 | Group-Based Multivariate Trajectory Modeling |
| R-gbRd | 0.4.12-lp153.2.2 | Utilities for Processing Rd Objects and Files |
| R-gbs2ploidy | 1.0-lp153.2.12 | Inference of Ploidy from (Genotyping-by-Sequencing) GBS Data |
| R-gbts | 1.2.0-lp153.3.3 | Hyperparameter Search for Gradient Boosted Trees |
| R-gbutils | 0.5-lp153.1.9 | Utilities for Simulation, Plots, Quantile Functions and Prog |
| R-GCAI.bias | 1.0-lp153.2.13 | Guided Correction Approach for Inherited bias (GCAI.bias) |
| R-GCalcium | 1.0.0-lp153.12.7 | A Data Manipulation and Analysis Package for Calcium Indicat |
| R-gCat | 0.2-lp153.1.9 | Graph-Based Two-Sample Tests for Categorical Data |
| R-gcbd | 0.2.6-lp153.9.4 | \'GPU\'/CPU Benchmarking in Debian-Based Systems |
| R-GCCfactor | 1.0.1-lp153.2.2 | GCC Estimation of the Multilevel Factor Model |
| R-GCD | 4.0.7-lp153.6.4 | Global Charcoal Database |
| R-gcdnet | 1.0.6-lp153.1.8 | The (Adaptive) LASSO and Elastic Net Penalized Least Squares |
| R-gcerisk | 19.05.24-lp153.14.5 | Generalized Competing Event Model |
| R-gcite | 0.10.1-lp153.12.4 | Google Citation Parser |
| R-gclm | 0.0.1-lp153.2.13 | Graphical Continuous Lyapunov Models |
| R-gclus | 1.3.1-lp155.1.5 | Clustering Graphics |
| R-gclus | 1.3.1-1.38 | Clustering Graphics |
| R-gclus | 1.3.1-lp153.1.26 | Clustering Graphics |
| R-gclus | 1.3.1-lp154.1.10 | Clustering Graphics |
| R-gclus | 1.3.2-lp153.2.13 | Clustering Graphics |
| R-gclus | 1.3.1-1.28 | Clustering Graphics |
| R-gconcord | 0.41-lp153.2.13 | Concord method for Graphical Model Selection |
| R-gconsensus | 0.3.2-lp153.1.7 | Consensus Value Constructor |
| R-gcookbook | 2.0-lp153.2.13 | Data for \"R Graphics Cookbook\" |
| R-gcTensor | 1.0.0-lp153.1.5 | Generalized Coupled Tensor Factorization |
| R-gcxgclab | 1.0.1-lp153.1.4 | GCxGC Preprocessing and Analysis |
| R-GD | 10.3-lp153.1.5 | Geographical Detectors for Assessing Spatial Factors |
| R-GDAdata | 0.93-lp153.2.13 | Datasets for the Book Graphical Data Analysis with R |
| R-gdalUtils | 2.0.3.2-lp153.3.12 | Wrappers for the Geospatial Data Abstraction Library (GDAL) |
| R-gdata | 2.17.0-lp154.1.10 | Various R programming tools for data manipulation |
| R-gdata | 2.17.0-1.29 | Various R programming tools for data manipulation |
| R-gdata | 2.17.0-lp155.1.5 | Various R programming tools for data manipulation |
| R-gdata | 2.17.0-lp153.1.25 | Various R programming tools for data manipulation |
| R-gdata | 3.0.0-lp153.1.5 | Various R programming tools for data manipulation |
| R-gdata | 2.17.0-1.39 | Various R programming tools for data manipulation |
| R-gde | 0.2.1-lp153.7.3 | GBIF Dataset Explorer |
| R-gDefrag | 0.3-lp153.6.5 | Graph-Based Landscape De-Fragmentation |
| R-GDELTtools | 1.7-lp153.2.2 | Download, Slice, and Normalize GDELT V1 Event and Sentiment |
| R-gdi | 1.6.0-lp153.2.2 | Volumetric Analysis using Graphic Double Integration |
| R-gdim | 0.1.0-lp153.2.4 | Estimate Graph Dimension using Cross-Validated Eigenvalues |
| R-gdistance | 1.6.4-lp153.4.4 | Distances and Routes on Geographical Grids |
| R-gdldata | 0.1-lp153.2.4 | \'Global Data Lab\' R API |
| R-gdns | 0.5.0-lp153.4.10 | Tools to Work with Google\'s \'DNS\'-over-\'HTTPS\' (\'DoH\' |
| R-gds | 0.1.1-lp153.1.12 | Descriptive Statistics of Grouped Data |
| R-GDSARM | 0.1.1-lp153.1.8 | Gauss - Dantzig Selector: Aggregation over Random Models |
| R-gdtools | 0.2.2-lp153.2.23 | Utilities for Graphical Rendering |
| R-gdtools | 0.2.2-lp154.2.10 | Utilities for Graphical Rendering |
| R-gdtools | 0.2.2-2.27 | Utilities for Graphical Rendering |
| R-gdtools | 0.2.2-lp155.2.5 | Utilities for Graphical Rendering |
| R-gdxdt | 0.1.0-lp153.2.13 | IO for GAMS GDX Files using \'data.table\' |
| R-GE | 0.4.5-lp153.1.2 | General Equilibrium Modeling |
| R-geboes.score | 1.0.0-lp153.1.4 | Evaluate the Geboes Score for Histology in Ulcerative Coliti |
| R-geckor | 0.2.0-lp153.11.7 | R Client for the \'CoinGecko\' API |
| R-gee | 4.13.27-lp153.2.2 | Generalized Estimation Equation solver |
| R-geeCRT | 1.1.3-lp153.1.4 | Bias-Corrected GEE for Cluster Randomized Trials |
| R-geeM | 0.10.1-lp153.2.13 | Solve Generalized Estimating Equations |
| R-GEEmediate | 1.1.4-lp153.1.7 | Mediation Analysis for Generalized Linear Models Using the D |
| R-geesmv | 1.3-lp153.3.12 | Modified Variance Estimators for Generalized Estimating Equa |
| R-geigen | 2.3-lp153.2.13 | Calculate Generalized Eigenvalues, the Generalized Schur Dec |
| R-GEInfo | 1.0-lp153.9.4 | Gene-Environment Interaction Analysis Incorporating Prior In |
| R-GEInter | 0.3.2-lp153.19.2 | Robust Gene-Environment Interaction Analysis |
| R-gellipsoid | 0.7.2-lp153.8.5 | Generalized Ellipsoids |
| R-gelnet | 1.2.1-lp153.2.13 | Generalized Elastic Nets |
| R-GEmetrics | 1.0.0-lp153.2.2 | Best Linear Unbiased Prediction of Genotype-by-Environment M |
| R-gemlog | 0.41-lp153.2.13 | File Conversion for \'Gem Infrasound Logger\' |
| R-gemma2 | 0.1.3-lp153.2.13 | GEMMA Multivariate Linear Mixed Model |
| R-gen2stage | 1.0-lp153.2.13 | Generalized Two-Stage Designs for Phase II Single-Arm Studie |
| R-gen5helper | 1.0.1-lp153.17.2 | Processing \'Gen5\' 2.06 Exported Data |
| R-genalg | 0.2.1-lp153.1.10 | R Based Genetic Algorithm |
| R-genasis | 1.0-lp153.2.13 | Global ENvironmental ASsessment Information System (GENASIS) |
| R-GenBinomApps | 1.2.1-lp153.2.2 | Clopper-Pearson Confidence Interval and Generalized Binomial |
| R-gencor | 1.0.2-lp153.1.8 | Generate Customized Correlation Matrices |
| R-genCountR | 1.0.0-lp153.1.4 | Interacting with Roberts and Utych\'s (2019) Gendered Langua |
| R-gencve | 0.3-lp153.6.10 | General Cross Validation Engine |
| R-gendata | 1.2.0-lp153.1.9 | Generate and Modify Synthetic Datasets |
| R-gender | 0.6.0-lp153.8.7 | Predict Gender from Names Using Historical Data |
| R-genderBR | 1.1.2-lp153.11.7 | Predict Gender from Brazilian First Names |
| R-GenderInfer | 0.1.0-lp153.7.5 | This is a Collection of Functions to Analyse Gender Differen |
| R-gendist | 2.0-lp153.2.13 | Generated Probability Distribution Models |
| R-GENEAclassify | 1.5.5-lp153.1.4 | Segmentation and Classification of Accelerometer Data |
| R-GENEAread | 2.0.10-lp153.2.2 | Package for Reading Binary Files |
| R-GENEAsphere | 1.5.1-lp153.22.5 | Visualisation of Raw or Segmented Accelerometer Data |
| R-GeneClusterNet | 1.0.1-lp153.2.13 | Gene Expression Clustering and Gene Network |
| R-GeneCycle | 1.1.5-lp153.1.13 | Identification of Periodically Expressed Genes |
| R-GeneF | 1.0.1-lp153.1.9 | Package for Generalized F-statistics |
| R-geneHummus | 1.0.11-lp153.17.2 | A Pipeline to Define Gene Families in Legumes and Beyond |
| R-geneListPie | 1.0-lp153.2.13 | Profiling a gene list into GOslim or KEGG function pie |
| R-genemodel | 1.1.0-lp153.7.2 | Gene Model Plotting in R |
| R-GeneNet | 1.2.16-lp153.1.11 | Modeling and Inferring Gene Networks |
| R-genepi | 1.0.3-lp153.1.5 | Genetic Epidemiology Design and Inference |
| R-generalhoslem | 1.3.4-lp153.3.7 | Goodness of Fit Tests for Logistic Regression Models |
| R-GeneralisedCovarianceMeasure | 0.2.0-lp153.1.10 | Test for Conditional Independence Based on the Generalized C |
| R-GeneralizedHyperbolic | 0.8.6-lp153.1.4 | The Generalized Hyperbolic Distribution |
| R-GeneralOaxaca | 1.0-lp153.2.13 | Blinder-Oaxaca Decomposition for Generalized Linear Model |
| R-generator | 0.1.0-lp153.2.13 | Generate Data Containing Fake Personally Identifiable Inform |
| R-generics | 0.1.3-lp153.1.8 | Common S3 Generics not Provided by Base R Methods Related to |
| R-genero | 0.1.0-lp153.2.13 | Estimate Gender from Names in Spanish and Portuguese |
| R-GeneScape | 1.0-lp153.1.5 | Simulation of Single Cell RNA-Seq Data with Complex Structur |
| R-geneset | 0.2.7-lp153.4.2 | Get Gene Sets for Gene Enrichment Analysis |
| R-geneSignatureFinder | 2014.02.17-lp153.2.13 | A Gene-signatures finder tools |
| R-genesysr | 2.1.1-lp153.1.3 | Genesys PGR Client |
| R-genetics | 1.3.8.1-1.40 | Population Genetics |
| R-genetics | 1.3.8.1-lp155.1.5 | Population Genetics |
| R-genetics | 1.3.8.1.3-lp153.1.13 | Population Genetics |
| R-genetics | 1.3.8.1-lp154.1.10 | Population Genetics |
| R-genetics | 1.3.8.1-lp153.1.24 | Population Genetics |
| R-genetics | 1.3.8.1-1.27 | Population Genetics |
| R-GeneticSubsetter | 0.8-lp153.2.13 | Identify Favorable Subsets of Germplasm Collections |
| R-GeNetIt | 0.1.6-lp153.2.4 | Spatial Graph-Theoretic Genetic Gravity Modelling |
| R-GenForImp | 1.0-lp153.5.9 | The Forward Imputation: A Sequential Distance-Based Approach |
| R-genfrn | 0.1.4-lp153.1.2 | Generating Triangular and Trapezoidal Fuzzy Random Numbers v |
| R-GenHMM1d | 0.1.0-lp153.13.8 | Goodness-of-Fit for Univariate Hidden Markov Models |
| R-geniusr | 1.2.1-lp153.5.4 | Tools for Working with the \'Genius\' API |
| R-GenKern | 1.2.60-lp153.2.13 | Functions for generating and manipulating binned kernel dens |
| R-genlasso | 1.6.1-lp153.5.4 | Path Algorithm for Generalized Lasso Problems |
| R-genlogis | 1.0.2-lp153.1.4 | Generalized Logistic Distribution |
| R-GenMarkov | 0.2.0-lp153.4.2 | Multivariate Markov Chains |
| R-GENMETA | 0.2.0-lp153.2.7 | Implements Generalized Meta-Analysis Using Iterated Reweight |
| R-genogeographer | 0.1.19-lp153.30.2 | Methods for Analysing Forensic Ancestry Informative Markers |
| R-genomeplot | 1.0-lp153.14.5 | \'Plot genome wide values for all chromosomes\' |
| R-genomic.autocorr | 1.0.1-lp153.3.7 | Models Dealing with Spatial Dependency in Genomic Data |
| R-genomicper | 1.6-lp153.2.13 | Circular Genomic Permutation using Gwas p-Values of Associat |
| R-genoPlotR | 0.8.11-lp153.5.7 | Plot Publication-Grade Gene and Genome Maps |
| R-GenOrd | 1.4.0-lp153.2.13 | Simulation of Discrete Random Variables with Given Correlati |
| R-GenoScan | 0.1-lp153.4.7 | A Genome-Wide Scan Statistic Framework for Whole-Genome Sequ |
| R-genotypeR | 0.0.1.8-lp153.14.11 | SNP Genotype Marker Design and Analysis |
| R-genpwr | 1.0.4-lp153.8.5 | Power Calculations Under Genetic Model Misspecification |
| R-genridge | 0.6.7-lp153.24.7 | Generalized Ridge Trace Plots for Ridge Regression |
| R-genscore | 1.0.2.2-lp153.2.2 | Generalized Score Matching Estimators |
| R-genSEIR | 0.1.1-lp153.7.5 | Predict Epidemic Curves with Generalized SEIR Modeling |
| R-genset | 0.1.0-lp153.2.13 | Generates Data Sets for Class Demonstrations |
| R-gensphere | 1.3-lp153.16.5 | Generalized Spherical Distributions |
| R-genstab | 1.0.0-lp153.1.12 | Resampling Based Yield Stability Analyses |
| R-genSurv | 1.0.4-lp153.1.12 | Generating Multi-State Survival Data |
| R-gensvm | 0.1.7-lp153.1.7 | A Generalized Multiclass Support Vector Machine |
| R-GenTag | 1.0-lp153.2.13 | Generate Color Tag Sequences |
| R-genTS | 0.1.4-lp153.7.2 | R Shiny App for Creating Simplified Trial Summary (TS) Domai |
| R-GenTwoArmsTrialSize | 0.0.5-lp153.3.2 | Generalized Two Arms Clinical Trial Sample Size Calculation |
| R-GenWin | 1.0-lp153.1.7 | Spline Based Window Boundaries for Genomic Analyses |
| R-geoAr | 1.0.0-lp153.3.2 | Argentina\'s Spatial Data Toolbox |
| R-geoarrow | 0.2.1-lp153.1.2 | Extension Types for Spatial Data for Use with \'Arrow\' |
| R-geoaxe | 0.1.0-lp153.2.13 | Split \'Geospatial\' Objects into Pieces |
| R-GeoBoxplot | 1.0-lp153.2.13 | Geographic Box Plot |
| R-geobr | 1.6.1-lp154.1.10 | Official Spatial Data Sets of Brazil |
| R-geobr | 1.6.1-lp153.1.14 | Official Spatial Data Sets of Brazil |
| R-geobr | 1.6.1-lp155.1.5 | Official Spatial Data Sets of Brazil |
| R-geocacheR | 0.1.0-lp153.11.2 | Tools for Geocaching |
| R-geodaData | 0.1.0-lp153.2.13 | Spatial Analysis Datasets for Teaching |
| R-geodata | 0.6.2-lp153.1.2 | Download Geographic Data |
| R-GeoDE | 1.0-lp153.2.13 | A geometrical Approach to Differential expression and gene-s |
| R-GeodesiCL | 1.0.0-lp153.17.5 | Geometric Geodesy Functions |
| R-geodist | 0.1.0-lp153.2.2 | Fast, Dependency-Free Geodesic Distance Calculations |
| R-geodrawr | 2.0.0-lp153.24.2 | Making Geospatial Objects |
| R-GeodRegr | 0.2.0-lp153.1.12 | Geodesic Regression |
| R-geoelectrics | 0.2.2-lp153.2.5 | 3D-Visualization of Geoelectric Resistivity Measurement Prof |
| R-geofabrik | 0.1.0-lp153.2.13 | Downloading Open Street Map Data |
| R-geofacet | 0.2.1-lp153.1.4 | \'ggplot2\' Faceting Utilities for Geographical Data |
| R-geofd | 2.0-lp153.17.4 | Spatial Prediction for Function Value Data |
| R-geoGAM | 0.1.3-lp153.1.4 | Select Sparse Geoadditive Models for Spatial Prediction |
| R-geogenr | 1.0.0-lp153.6.12 | Geomultistar Generator from American Community Survey (ACS) |
| R-geohashTools | 0.3.3-lp153.1.5 | Tools for Working with Geohashes |
| R-geoknife | 1.6.11-lp153.1.5 | Web-Processing of Large Gridded Datasets |
| R-GeoLight | 2.0.0-lp153.3.12 | Analysis of Light Based Geolocator Data |
| R-geomapdata | 2.0.2-lp153.1.5 | Data for Topographic and Geologic Mapping |
| R-geomedb | 2.0.1-lp153.3.12 | Functions for Fetching \'GeOMe-db\' Data |
| R-geomerge | 0.3.4-lp153.1.4 | Geospatial Data Integration |
| R-geometa | 0.6.5-lp153.1.11 | Tools for Reading and Writing ISO/OGC Geographic Metadata |
| R-geomnet | 0.3.1-lp153.8.12 | Network Visualization in the \'ggplot2\' Framework |
| R-GeoMongo | 1.0.3-lp153.5.5 | Geospatial Queries Using \'PyMongo\' |
| R-geomorph | 4.0.5-lp153.4.5 | Geometric Morphometric Analyses of 2D and 3D Landmark Data |
| R-geomtextpath | 0.1.4-lp153.1.2 | Curved Text in \'ggplot2\' |
| R-geonames | 0.999-lp153.2.13 | Interface to the \"Geonames\" Spatial Query Web Service |
| R-geonet | 0.7.3-5.17 | Intensity Estimation on Geometric Networks with Penalized Sp |
| R-geonet | 0.7.3-lp153.5.7 | Intensity Estimation on Geometric Networks with Penalized Sp |
| R-geonetwork | 0.5.0-lp153.4.4 | Geographic Networks |
| R-geophys | 1.4.1-lp153.8.7 | Geophysics, Continuum Mechanics, Gravity Modeling |
| R-geoR | 1.9.4-lp153.1.4 | Analysis of geostatistical data |
| R-georefdatar | 0.6.5-lp153.1.4 | Geosciences Reference Datasets |
| R-geos | 0.2.4-lp153.1.4 | Open Source Geometry Engine (\'GEOS\') R API |
| R-geoSAE | 0.1.0-lp153.1.12 | Geoadditive Small Area Model |
| R-geoscale | 2.0.1-lp153.1.8 | Geological Time Scale Plotting |
| R-geosed | 0.1.1-lp153.2.13 | Smallest Enclosing Disc for Latitude and Longitude Points |
| R-geospark | 0.3.1-lp153.19.2 | Bring Local Sf to Spark |
| R-geoSpectral | 0.17.5-lp153.6.12 | Classes and Methods for Working with Spectral Data with Spac |
| R-geosphere | 1.5.5-lp154.2.10 | Spherical Trigonometry |
| R-geosphere | 1.5.5-2.30 | Spherical Trigonometry |
| R-geosphere | 1.5.5-lp153.2.23 | Spherical Trigonometry |
| R-geosphere | 1.5.5-2.40 | Spherical Trigonometry |
| R-geostats | 1.6-lp153.1.7 | An Introduction to Statistics for Geoscientists |
| R-geostatsp | 2.0.6-lp153.1.5 | Geostatistical Modelling with Likelihood and Bayes |
| R-GeoTcgaData | 1.0.0-lp153.1.12 | Processing various types of data on GEO and TCGA |
| R-geotech | 1.0-lp153.2.13 | Geotechnical Engineering |
| R-geotools | 0.1-lp153.2.13 | Geo tools |
| R-geotopbricks | 1.5.8.2-lp153.2.2 | An R Plug-in for the Distributed Hydrological Model GEOtop |
| R-geoTS | 0.1.8-lp153.3.4 | Methods for Handling and Analyzing Time Series of Satellite |
| R-geouy | 0.2.8-lp153.2.2 | Geographic Information of Uruguay |
| R-geoviz | 0.2.2-lp153.23.5 | Elevation and GPS Data Visualisation |
| R-geovol | 1.0-lp153.1.12 | Geopolitical Volatility (GEOVOL) Modelling |
| R-GeoWeightedModel | 1.0.3-lp153.5.2 | User-Friendly Interface for Geographically-Weighted Models |
| R-geozoning | 1.0.0-lp153.1.13 | Zoning Methods for Spatial Data |
| R-geozoo | 0.5.1-lp153.2.13 | Zoo of Geometric Objects |
| R-gepaf | 0.1.1-lp153.2.13 | Google Encoded Polyline Algorithm Format |
| R-gerbil | 0.1.9-lp153.6.2 | Generalized Efficient Regression-Based Imputation with Laten |
| R-germanpolls | 0.3-lp153.2.13 | German Polling Data |
| R-GerminaR | 2.1.4-lp153.14.2 | Indices and Graphics for Assess Seed Germination Process |
| R-germinationmetrics | 0.1.8-lp153.3.2 | Seed Germination Indices and Curve Fitting |
| R-gesca | 1.0.4-lp153.2.13 | Generalized Structured Component Analysis (GSCA) |
| R-GESE | 2.0.1-lp153.6.5 | Gene-Based Segregation Test |
| R-gestalt | 0.2.0-lp153.2.5 | Tools for Making and Combining Functions |
| R-gestate | 1.6.0-lp153.4.2 | Generalised Survival Trial Assessment Tool Environment |
| R-GESTr | 0.1-lp153.2.13 | Gene Expression State Transformation |
| R-getable | 1.0.3-lp153.9.5 | Fetching Tabular Data \"Onload\" in Compiled R Markdown HTML |
| R-GetBCBData | 0.7.0-lp153.8.2 | Imports Datasets from BCB (Central Bank of Brazil) using Its |
| R-getCRUCLdata | 0.3.2-lp153.5.13 | \'CRU\' \'CL\' v. 2.0 Climatology Client |
| R-GETdesigns | 1.2.0-lp153.2.2 | Generalized Extended Triangular Designs (\'GETdesigns\') |
| R-GetDFPData2 | 0.6.3-lp153.4.2 | Reading Annual and Quarterly Financial Reports from B3 |
| R-getDTeval | 0.0.2-lp153.1.12 | Translating Coding Statements using get() and eval() for Imp |
| R-GetFREData | 0.8.1-lp153.4.2 | Reading FRE Corporate Data of Public Traded Companies from B |
| R-gethr | 0.1.0-lp153.2.12 | Access to Ethereum-Based Blockchains Through Geth Nodes |
| R-getip | 0.1.4-lp153.1.4 | \'IP\' Address \'Lookup\' |
| R-getlandsat | 0.2.0-lp153.11.7 | Get Landsat 8 Data from Amazon Public Data Sets |
| R-getLattes | 0.2.0-lp153.14.2 | Import and Process Data from the \'Lattes\' Curriculum Platf |
| R-GetLattesData | 1.5-lp153.2.2 | Reading Bibliometric Data from Lattes Platform |
| R-getMet | 0.3.2-lp153.3.12 | Get Meteorological Data for Hydrologic Models |
| R-GetoptLong | 1.0.5-lp153.2.13 | Parsing Command-Line Arguments and Simple Variable Interpola |
| R-getPass | 0.2.2-lp153.1.23 | Masked User Input |
| R-getPass | 0.2.2-lp154.1.10 | Masked User Input |
| R-getPass | 0.2.2-lp155.1.5 | Masked User Input |
| R-getPass | 0.2.2-1.36 | Masked User Input |
| R-getPass | 0.2.4-lp153.1.4 | Masked User Input |
| R-getPass | 0.2.2-1.30 | Masked User Input |
| R-getProxy | 1.13-lp153.2.8 | Get Free Proxy IP and Port |
| R-getpublist | 0.1.0-lp153.1.8 | Obtain a List of Publications from \'PubMed\' and \'Google S |
| R-GetQuandlData | 1.0.0-lp153.2.5 | Fast and Cached Import of Data from \'Quandl\' Using the \'j |
| R-GetR | 0.1-lp153.2.12 | GetR: Calculate Guttman error trees in R |
| R-getspanel | 0.2.0-lp153.2.2 | General-to-Specific Modelling of Panel Data |
| R-getspres | 0.2.0-lp153.10.5 | SPRE Statistics for Exploring Heterogeneity in Meta-Analysis |
| R-getTBinR | 0.7.1-lp153.3.13 | Access and Summarise World Health Organization Tuberculosis |
| R-gettz | 0.0.5-lp153.1.7 | Get the Timezone Information |
| R-getwiki | 0.9.0-lp153.1.9 | R Wrapper for Wikipedia Data |
| R-GEVcdn | 1.1.6.2-lp153.2.13 | GEV Conditional Density Estimation Network |
| R-gexp | 1.0.21-lp153.1.5 | Generator of Experiments |
| R-geysertimes | 0.1.9-lp153.10.5 | Geyser Data from GeyserTimes.org |
| R-GFA | 1.0.5-lp153.1.5 | Group Factor Analysis |
| R-gfboost | 0.1.1-lp153.1.11 | Gradient-Free Gradient Boosting |
| R-gfcanalysis | 1.8.0-lp153.3.2 | Tools for Working with Hansen et al. Global Forest Change Da |
| R-GFD | 0.3.3-lp153.12.2 | Tests for General Factorial Designs |
| R-GFE | 0.1.1-lp153.1.5 | Gross Flows Estimation under Complex Surveys |
| R-GFGM.copula | 1.0.4-lp153.2.13 | Generalized Farlie-Gumbel-Morgenstern Copula |
| R-gfilinreg | 2.0.1-2.62 | Generalized Fiducial Inference for Low-Dimensional Robust Li |
| R-gfilinreg | 2.0.1-lp153.2.18 | Generalized Fiducial Inference for Low-Dimensional Robust Li |
| R-gfilmm | 2.0.5-6.17 | Generalized Fiducial Inference for Normal Linear Mixed Model |
| R-gfilmm | 2.0.5-lp153.6.8 | Generalized Fiducial Inference for Normal Linear Mixed Model |
| R-GFisher | 0.2.0-lp153.1.11 | Generalized Fisher\'s Combination Tests Under Dependence |
| R-gfiUltra | 1.0.0-lp153.4.7 | Generalized Fiducial Inference for Ultrahigh-Dimensional Reg |
| R-gfmR | 1.1.0-lp153.3.12 | Implements Group Fused Multinomial Regression |
| R-gfonts | 0.2.0-lp153.5.2 | Offline \'Google\' Fonts for \'Markdown\' and \'Shiny\' |
| R-gfunctions | 1.0-lp153.2.2 | G-Functions |
| R-gg.gap | 1.3-lp153.14.5 | Define Segments in y-Axis for \'ggplot2\' |
| R-ggallin | 0.1.1-lp153.14.5 | Grab Bag of \'ggplot2\' Functions |
| R-ggalluvial | 0.12.5-lp153.2.2 | Alluvial Plots in \'ggplot2\' |
| R-ggamma | 1.0.1-lp153.2.13 | Generalized Gamma Probability Distribution |
| R-ggarchery | 0.4.3-lp153.2.2 | Flexible Segment Geoms with Arrows for \'ggplot2\' |
| R-ggarrow | 0.1.0-lp153.1.2 | Arrows for \'ggplot2\' |
| R-ggasym | 0.1.6-lp153.10.7 | Asymmetric Matrix Plotting in \'ggplot2\' |
| R-ggbeeswarm | 0.7.2-lp153.1.5 | Categorical Scatter (Violin Point) Plots |
| R-ggbiplot | 0.6.2-lp153.1.4 | A Grammar of Graphics Implementation of Biplots |
| R-ggblend | 0.1.0-lp153.1.5 | Blending and Compositing Algebra for \'ggplot2\' |
| R-ggborderline | 0.2.0-lp153.3.5 | Line Plots that Pop |
| R-ggbrace | 0.1.1-lp153.1.4 | Curly Braces for \'ggplot2\' |
| R-ggbraid | 0.2.2-lp153.3.8 | Braid Ribbons in \'ggplot2\' |
| R-ggbrick | 0.3.0-lp153.2.2 | Waffle Style Chart with a Brick Layout in \'ggplot2\' |
| R-ggBubbles | 0.1.4-lp153.16.7 | Mini Bubble Plots for Comparison of Discrete Data with \'ggp |
| R-ggbuildr | 0.1.0-lp153.14.5 | Save Incremental Builds of Plots |
| R-ggbump | 0.1.0-lp153.17.2 | Bump Chart and Sigmoid Curves |
| R-ggchangepoint | 0.1.0-lp153.7.7 | Combines Changepoint Analysis with \'ggplot2\' |
| R-ggChernoff | 0.3.0-lp153.2.5 | Chernoff Faces for \'ggplot2\' |
| R-ggcleveland | 0.1.0-lp153.10.2 | Implementation of Plots from Cleveland\'s Visualizing Data B |
| R-ggconf | 0.1.3-lp153.13.7 | Simpler Appearance Modification of \'ggplot2\' |
| R-ggcorrplot | 0.1.4.1-lp153.2.2 | Visualization of a Correlation Matrix using \'ggplot2\' |
| R-ggcorset | 0.5.0-lp153.2.2 | The Corset Plot |
| R-ggdark | 0.2.1-lp153.14.5 | Dark Mode for \'ggplot2\' Themes |
| R-ggdaynight | 0.1.3-lp153.2.2 | Add Day/Night Patterns to \'ggplot2\' Plots |
| R-ggDCA | 1.1-lp153.27.5 | Calculate and Plot Decision Curve |
| R-ggdendro | 0.2.0-lp153.1.3 | Create Dendrograms and Tree Diagrams Using \'ggplot2\' |
| R-ggdendro | 0.1_15-lp153.2.23 | Tools for extracting dendrogram and tree diagram plot data |
| R-ggdendro | 0.1_15-2.87 | Tools for extracting dendrogram and tree diagram plot data |
| R-ggdendro | 0.1_15-2.24 | Tools for extracting dendrogram and tree diagram plot data |
| R-ggdensity | 1.0.0-lp153.1.7 | Interpretable Bivariate Density Visualization with \'ggplot2 |
| R-ggDoE | 0.8-lp153.1.4 | Modern Graphs for Design of Experiments with \'ggplot2\' |
| R-ggDoubleHeat | 0.1.2-lp153.1.5 | A Heatmap-Like Visualization Tool |
| R-gge | 1.8-lp153.2.2 | Genotype Plus Genotype-by-Environment Biplots |
| R-ggeasy | 0.1.4-lp153.1.5 | Easy Access to \'ggplot2\' Commands |
| R-GGEBiplots | 0.1.3-lp153.10.2 | GGE Biplots with \'ggplot2\' |
| R-ggedit | 0.4.1-lp153.3.2 | Interactive \'ggplot2\' Layer and Theme Aesthetic Editor |
| R-ggenealogy | 1.0.3-lp153.4.2 | Visualization Tools for Genealogical Data |
| R-ggetho | 0.3.7-lp153.3.2 | Visualisation of High-Throughput Behavioural (i.e. Ethomics) |
| R-ggExtra | 0.10.1-lp153.5.2 | Add Marginal Histograms to \'ggplot2\', and More \'ggplot2\' |
| R-ggfittext | 0.10.2-lp153.1.5 | Fit Text Inside a Box in \'ggplot2\' |
| R-ggfixest | 0.1.0-lp153.4.2 | Dedicated \'ggplot2\' Methods for \'fixest\' Objects |
| R-ggflowchart | 1.0.0-lp153.2.4 | Flowcharts with \'ggplot2\' |
| R-ggfocus | 1.0.0-lp153.16.7 | Scales that Focus Specific Levels in your ggplot() |
| R-ggforce | 0.3.1-1.41 | Accelerating \'ggplot2\' |
| R-ggforce | 0.3.1-lp153.1.23 | Accelerating \'ggplot2\' |
| R-ggforce | 0.3.1-1.30 | Accelerating \'ggplot2\' |
| R-ggformula | 0.9.4-lp153.1.23 | Formula Interface to the Grammar of Graphics |
| R-ggformula | 0.9.4-1.42 | Formula Interface to the Grammar of Graphics |
| R-ggformula | 0.9.4-1.24 | Formula Interface to the Grammar of Graphics |
| R-ggformula | 0.12.0-lp153.3.2 | Formula Interface to the Grammar of Graphics |
| R-ggfortify | 0.4.17-lp153.2.2 | Data Visualization Tools for Statistical Analysis Results |
| R-gggap | 1.0.1-lp153.12.5 | Streamlined Creation of Segments on the Y-Axis of \'ggplot2\ |
| R-gggenes | 0.5.1-lp153.2.2 | Draw Gene Arrow Maps in \'ggplot2\' |
| R-ggghost | 0.2.1-lp153.7.7 | Capture the Spirit of Your \'ggplot2\' Calls |
| R-gggibbous | 0.1.1-lp153.11.5 | Moon Charts, a Pie Chart Alternative |
| R-gggrid | 0.2.0-lp153.6.5 | Draw with \'grid\' in \'ggplot2\' |
| R-ggguitar | 0.1.1-lp153.9.12 | Utilities for Creating Guitar Tablature |
| R-ggh4x | 0.2.8-lp153.1.5 | Hacks for \'ggplot2\' |
| R-gghalfnorm | 1.1.2-lp153.15.7 | Create a Half Normal Plot Using \'ggplot2\' |
| R-gghalves | 0.1.4-lp153.2.5 | Compose Half-Half Plots Using Your Favourite Geoms |
| R-gghdr | 0.2.0-lp153.4.4 | Visualisation of Highest Density Regions in \'ggplot2\' |
| R-gghighlight | 0.4.1-lp153.1.4 | Highlight Lines and Points in \'ggplot2\' |
| R-gghist | 0.1.0-lp153.1.5 | Plot the Histogram of a Numeric Vector |
| R-ggHoriPlot | 1.0.1-lp153.6.2 | Horizon Plots for \'ggplot2\' |
| R-ggimg | 0.1.2-lp153.4.5 | Graphics Layers for Plotting Image Data with \'ggplot2\' |
| R-gginference | 0.1.3-lp153.13.5 | Visualise the Results of Inferential Statistics using \'ggpl |
| R-gginnards | 0.2.0-lp153.2.2 | Explore the Innards of \'ggplot2\' Objects |
| R-ggiraphExtra | 0.3.0-lp153.19.2 | Make Interactive \'ggplot2\'. Extension to \'ggplot2\' and \ |
| R-ggisotonic | 0.1.2-lp153.6.7 | \'ggplot2\' Friendly Isotonic or Monotonic Regression Curves |
| R-ggjoy | 0.4.1-lp153.15.5 | Joyplots in \'ggplot2\' |
| R-gglasso | 1.5.1-lp153.2.2 | Group Lasso Penalized Learning Using a Unified BMD Algorithm |
| R-gglogo | 0.1.5-lp153.12.11 | Geom for Logo Sequence Plots |
| R-ggloop | 0.1.0-lp153.8.11 | Create \'ggplot2\' Plots in a Loop |
| R-gglorenz | 0.0.2-lp153.14.5 | Plotting Lorenz Curve with the Blessing of \'ggplot2\' |
| R-ggm | 2.3-1.25 | A package for Graphical Markov Models |
| R-ggm | 2.3-lp154.1.10 | A package for Graphical Markov Models |
| R-ggm | 2.3-1.41 | A package for Graphical Markov Models |
| R-ggm | 2.3-lp155.1.5 | A package for Graphical Markov Models |
| R-ggm | 2.3-lp153.1.24 | A package for Graphical Markov Models |
| R-ggmap | 3.0.0-lp153.1.23 | Spatial Visualization with ggplot2 |
| R-ggmap | 3.0.0-1.83 | Spatial Visualization with ggplot2 |
| R-ggmap | 3.0.0-1.24 | Spatial Visualization with ggplot2 |
| R-ggmap | 4.0.0-lp153.2.2 | Spatial Visualization with ggplot2 |
| R-ggmatplot | 0.1.2-lp153.6.5 | Plot Columns of Two Matrices Against Each Other Using \'ggpl |
| R-ggmix | 0.0.2-lp153.3.7 | Variable Selection in Linear Mixed Models for SNP Data |
| R-ggmosaic | 0.3.3-lp153.23.2 | Mosaic Plots in the \'ggplot2\' Framework |
| R-ggmr | 0.1.1-lp153.2.13 | Generalized Gauss Markov Regression |
| R-GGMridge | 1.4-lp153.1.4 | Gaussian Graphical Models Using Ridge Penalty Followed by Th |
| R-GGMselect | 0.1.12.7-lp153.1.5 | Gaussian Graphs Models Selection |
| R-ggmugs | 0.6.0-lp153.2.2 | Visualization of Multiple Genome-Wide Association Study Summ |
| R-ggmuller | 0.5.6-lp153.2.7 | Create Muller Plots of Evolutionary Dynamics |
| R-ggmulti | 1.0.7-lp153.2.2 | High Dimensional Data Visualization |
| R-ggnetwork | 0.5.13-lp153.1.4 | Geometries to Plot Networks with \'ggplot2\' |
| R-ggnewscale | 0.4.0-1.24 | Multiple Fill and Color Scales in \'ggplot2\' |
| R-ggnewscale | 0.4.0-1.52 | Multiple Fill and Color Scales in \'ggplot2\' |
| R-ggnewscale | 0.4.0-lp153.1.23 | Multiple Fill and Color Scales in \'ggplot2\' |
| R-ggnormalviolin | 0.1.2-lp153.17.7 | A \'ggplot2\' Extension to Make Normal Violin Plots |
| R-ggnuplot | 0.1.0-lp153.14.5 | Make \'ggplot2\' Look Like \'gnuplot\' |
| R-ggOceanMaps | 2.2.0-lp153.1.4 | Plot Data on Oceanographic Maps using \'ggplot2\' |
| R-ggokabeito | 0.1.0-lp153.7.5 | \'Okabe-Ito\' Scales for \'ggplot2\' and \'ggraph\' |
| R-ggordiplots | 0.4.3-lp153.1.4 | Make \'ggplot2\' Versions of Vegan\'s Ordiplots |
| R-GGoutlieR | 1.0.2-lp153.3.2 | Identify Individuals with Unusual Geo-Genetic Patterns |
| R-ggpackets | 0.2.1-lp153.3.5 | Package Plot Layers for Easier Portability and Modularizatio |
| R-ggpacman | 0.1.0-lp153.15.7 | A \'ggplot2\' and \'gganimate\' Version of Pac-Man |
| R-ggpage | 0.2.3-lp153.20.2 | Creates Page Layout Visualizations |
| R-ggparallel | 0.4.0-lp153.2.2 | Variations of Parallel Coordinate Plots for Categorical Data |
| R-ggparliament | 2.0.0-lp153.16.7 | Parliament Plots |
| R-ggparty | 1.0.0-lp153.13.5 | \'ggplot\' Visualizations for the \'partykit\' Package |
| R-ggpcp | 0.2.0-lp153.5.2 | Parallel Coordinate Plots in the \'ggplot2\' Framework |
| R-ggperiodic | 1.0.3-lp153.1.5 | Easy Plotting of Periodic Data with \'ggplot2\' |
| R-ggpie | 0.2.5-lp153.4.2 | Pie, Donut and Rose Pie Plots |
| R-ggplot.multistats | 1.0.0-lp153.14.5 | Multiple Summary Statistics for Binned Stats/Geometries |
| R-ggplot2 | 3.5.1-lp153.2.2 | Create Elegant Data Visualisations Using the Grammar of Grap |
| R-ggplot2movies | 0.0.1-lp153.2.13 | Movies Data |
| R-ggplotgui | 1.0.0-lp153.21.3 | Create Ggplots via a Graphical User Interface |
| R-ggplotlyExtra | 0.0.1-lp153.30.2 | Extra Convenience Functions for \'Plotly\' |
| R-ggpointdensity | 0.1.0-lp153.14.5 | A Cross Between a 2D Density Plot and a Scatter Plot |
| R-ggpointless | 0.1.0-lp153.1.4 | Additional Geometries and Stats for \'ggplot2\' |
| R-ggpol | 0.0.7-lp153.16.7 | Visualizing Social Science Data with \'ggplot2\' |
| R-ggpolar | 0.2.2-lp153.3.5 | Dots and Their Connections in Polar Coordinate System |
| R-ggpolypath | 0.3.0-lp153.1.5 | Polygons with Holes for the Grammar of Graphics |
| R-ggprism | 1.0.5-lp153.2.2 | A \'ggplot2\' Extension Inspired by \'GraphPad Prism\' |
| R-ggpval | 0.2.5-lp153.6.5 | Annotate Statistical Tests for \'ggplot2\' |
| R-ggQC | 0.0.31-lp153.17.2 | Quality Control Charts for \'ggplot\' |
| R-ggQQunif | 0.1.5-lp153.17.7 | Compare Big Datasets to the Uniform Distribution |
| R-ggquiver | 0.3.3-lp153.1.5 | Quiver Plots for \'ggplot2\' |
| R-ggrain | 0.0.4-lp153.3.2 | A Rainclouds Geom for \'ggplot2\' |
| R-ggRandomForests | 2.2.1-lp153.15.2 | Visually Exploring Random Forests |
| R-ggraptR | 1.3-lp153.21.2 | Allows Interactive Visualization of Data Through a Web Brows |
| R-ggredist | 0.0.2-lp153.2.5 | Scales, Geometries, and Extensions of \'ggplot2\' for Electi |
| R-ggrepel | 0.8.1-1.55 | Automatically Position Non-Overlapping Text Labels with \'gg |
| R-ggrepel | 0.8.1-lp153.1.14 | Automatically Position Non-Overlapping Text Labels with \'gg |
| R-ggrepel | 0.8.1-1.20 | Automatically Position Non-Overlapping Text Labels with \'gg |
| R-ggResidpanel | 0.3.0-lp153.31.2 | Panels and Interactive Versions of Diagnostic Plots using \' |
| R-GGRidge | 1.1.0-lp153.3.2 | Graphical Group Ridge |
| R-ggridges | 0.5.0-lp153.1.24 | Ridgeline Plots in \'ggplot2\' |
| R-ggridges | 0.5.0-1.87 | Ridgeline Plots in \'ggplot2\' |
| R-ggridges | 0.5.6-lp153.1.4 | Ridgeline Plots in \'ggplot2\' |
| R-ggridges | 0.5.0-1.25 | Ridgeline Plots in \'ggplot2\' |
| R-ggrisk | 1.3-lp153.25.2 | Risk Score Plot for Cox Regression |
| R-ggROC | 1.0-lp153.9.11 | package for roc curve plot with ggplot2 |
| R-ggrounded | 0.0.3-lp153.1.5 | Rounded Bar Plots |
| R-ggroups | 2.1.2-lp153.1.10 | Pedigree and Genetic Groups |
| R-ggRtsy | 0.1.0-lp153.2.2 | Add Some Van Gogh Colors and Overlay Colors on Your \'ggplot |
| R-ggsankeyfier | 0.1.8-lp153.2.2 | Create Sankey and Alluvial Diagrams Using \'ggplot2\' |
| R-ggscidca | 0.2.3-lp153.2.2 | Plotting Decision Curve Analysis with Coloured Bars |
| R-ggseas | 0.5.4-lp153.8.13 | \'stats\' for Seasonal Adjustment on the Fly with \'ggplot2\ |
| R-ggseg3d | 1.6.3-lp153.19.2 | Tri-Surface Mesh Plots for Brain Atlases |
| R-ggseqlogo | 0.2-lp153.1.4 | A \'ggplot2\' Extension for Drawing Publication-Ready Sequen |
| R-ggshadow | 0.0.5-lp153.2.5 | Shadow and Glow Geoms for \'ggplot2\' |
| R-ggside | 0.3.1-lp153.2.2 | Side Grammar Graphics |
| R-ggsignif | 0.6.4-lp153.3.5 | Significance Brackets for \'ggplot2\' |
| R-ggsn | 0.5.0-lp153.19.7 | North Symbols and Scale Bars for Maps Created with \'ggplot2 |
| R-ggsolvencyii | 0.1.2-lp153.17.2 | A \'ggplot2\'-Plot of Composition of Solvency II SCR: SF and |
| R-ggsom | 0.4.0-lp153.17.2 | New Data Visualisations for SOMs Networks |
| R-ggspark | 0.0.2-lp153.2.2 | \'ggplot2\' Functions to Create Tufte Style Sparklines |
| R-ggstance | 0.3.4-1.41 | Horizontal \'ggplot2\' Components |
| R-ggstance | 0.3.4-lp153.1.24 | Horizontal \'ggplot2\' Components |
| R-ggstance | 0.3.7-lp153.2.2 | Horizontal \'ggplot2\' Components |
| R-ggstance | 0.3.4-1.25 | Horizontal \'ggplot2\' Components |
| R-ggstar | 1.0.4-lp153.2.5 | Multiple Geometric Shape Point Layer for \'ggplot2\' |
| R-ggstatsplot | 0.11.1-lp153.1.5 | \'ggplot2\' Based Plots with Statistical Details |
| R-ggstream | 0.1.0-lp153.10.2 | Create Streamplots in \'ggplot2\' |
| R-ggstudent | 0.1.1.1-lp153.16.7 | Continuous Confidence Interval Plots using t-Distribution |
| R-ggsurvey | 1.0.0-lp153.10.2 | Simplifying \'ggplot2\' for Survey Data |
| R-ggswissmaps | 0.1.1-lp153.14.5 | Offers Various Swiss Maps as Data Frames and \'ggplot2\' Obj |
| R-ggtea | 0.1.1-lp153.7.5 | Palettes and Themes for \'ggplot2\' |
| R-ggtern | 3.5.0-lp153.2.2 | An Extension to \'ggplot2\', for the Creation of Ternary Dia |
| R-ggtext | 0.1.2-lp153.7.2 | Improved Text Rendering Support for \'ggplot2\' |
| R-ggThemeAssist | 0.1.5-lp153.20.2 | Add-in to Customize \'ggplot2\' Themes |
| R-ggthemes | 3.4.2-lp153.1.24 | Extra Themes, Scales and Geoms for \'ggplot2\' |
| R-ggthemes | 3.4.2-1.87 | Extra Themes, Scales and Geoms for \'ggplot2\' |
| R-ggthemes | 3.4.2-1.25 | Extra Themes, Scales and Geoms for \'ggplot2\' |
| R-ggthemes | 5.1.0-lp153.1.4 | Extra Themes, Scales and Geoms for \'ggplot2\' |
| R-ggthemeUL | 0.1.3-lp153.1.4 | A \'ggplot\' Theme for University of Ljubljana |
| R-ggTimeSeries | 1.0.2-lp153.6.5 | Time Series Visualisations Using the Grammar of Graphics |
| R-ggtrace | 0.2.0-lp153.6.5 | Trace and Highlight Groups of Data Points |
| R-ggtrendline | 1.0.3-lp153.6.5 | Add Trendline and Confidence Interval to \'ggplot\' |
| R-ggtricks | 0.1.0-lp153.1.5 | Create Sector and Other Charts Easily Using Grammar of Graph |
| R-ggvenn | 0.1.10-lp153.1.5 | Draw Venn Diagram by \'ggplot2\' |
| R-ggversa | 0.0.1-lp153.2.13 | Graficas Versatiles Con \'ggplot2\' |
| R-ggvis | 0.4.9-lp153.3.2 | Interactive Grammar of Graphics |
| R-ggvis | 0.4.4-1.14 | Interactive grammar of graphics package for R |
| R-ggvis | 0.4.4-1.96 | Interactive grammar of graphics package for R |
| R-ggvis | 0.4.4-lp153.1.14 | Interactive grammar of graphics package for R |
| R-ggvoronoi | 0.8.5-lp153.4.7 | Voronoi Diagrams and Heatmaps with \'ggplot2\' |
| R-ggx | 0.1.1-lp153.11.5 | A Natural Language Interface to \'ggplot2\' |
| R-gh | 1.1.0-lp153.1.23 | GitHub API client |
| R-gh | 1.1.0-lp154.1.10 | GitHub API client |
| R-gh | 1.1.0-1.39 | GitHub API client |
| R-gh | 1.4.1-lp153.2.2 | \'GitHub\' \'API\' |
| R-gh | 1.1.0-lp155.1.5 | GitHub API client |
| R-gh | 1.1.0-1.24 | GitHub API client |
| R-Ghat | 0.2.0-lp153.2.7 | Quantifying Evolution and Selection on Complex Traits |
| R-ghclass | 0.3.0-lp153.2.2 | Tools for Managing Classes on GitHub |
| R-ghee | 0.1.0-lp153.3.8 | Provides a Lightweight Interface for \'GitHub\' through R |
| R-ghibli | 0.3.4-lp153.2.2 | Studio Ghibli Colour Palettes |
| R-Ghost | 0.1.0-lp153.3.12 | Missing Data Segments Imputation in Multivariate Streams |
| R-ghql | 0.1.0-lp153.3.7 | General Purpose \'GraphQL\' Client |
| R-GHQp | 1.0-lp153.1.13 | Gauss Hermite Quadrature with pruning. |
| R-GHS | 0.1-lp153.2.13 | Graphical Horseshoe MCMC Sampler Using Data Augmented Block |
| R-ghypernet | 1.1.0-lp153.10.2 | Fit and Simulate Generalised Hypergeometric Ensembles of Gra |
| R-gibble | 0.4.0-lp153.13.7 | Geometry Decomposition |
| R-gibbs.met | 1.1.3-lp153.2.13 | Naive Gibbs Sampling with Metropolis Steps |
| R-GibbsACOV | 1.1-lp153.2.13 | Gibbs Sampler for One-Way Mixed-Effects ANOVA and ANCOVA Mod |
| R-GIC | 1.0.0-lp153.7.5 | A General Iterative Clustering Algorithm |
| R-gie | 0.1.2-lp153.1.2 | API Wrapper for the Natural Gas Transparency Platforms of Ga |
| R-giedata | 0.1.1-lp153.3.7 | API Wrapper for GIE\'s AGSI+/ALSI+ Natural Gas Storage Trans |
| R-Gifi | 0.4.0-lp153.1.8 | Multivariate Analysis with Optimal Scaling |
| R-GIFT | 1.3.2-lp155.3.1 | Access to the Global Inventory of Floras and Traits (GIFT) |
| R-GIFT | 1.3.2-lp153.3.1 | Access to the Global Inventory of Floras and Traits (GIFT) |
| R-GIFT | 1.3.2-lp154.3.1 | Access to the Global Inventory of Floras and Traits (GIFT) |
| R-gifti | 0.8.0-lp153.3.4 | Reads in \'Neuroimaging\' \'GIFTI\' Files with Geometry Info |
| R-GIFTr | 0.1.0-lp153.7.2 | GIFT Questions Format Generator from Dataframes |
| R-giftwrap | 0.0.4-lp153.13.5 | Take Shell Commands and Turn Them into R Functions |
| R-GIGrvg | 0.8-lp153.1.5 | Random Variate Generator for the GIG Distribution |
| R-GillespieSSA | 0.6.2-lp153.1.11 | Gillespie\'s Stochastic Simulation Algorithm (SSA) |
| R-gim | 0.33.1-lp153.2.13 | Generalized Integration Model |
| R-gimmeTools | 0.1-lp153.15.2 | Supplemental Tools for the \'gimme\' R Package |
| R-gimms | 1.2.2-lp153.2.4 | Download and Process GIMMS NDVI3g Data |
| R-Gini | 0.1.0-lp153.1.12 | Gini Coefficient |
| R-GiniDecompLY | 1.0.0-lp153.1.4 | Gini Decomposition by Income Sources |
| R-GiniWegNeg | 1.0.1-lp153.2.13 | Computing the Gini-Based Coefficients for Weighted and Negat |
| R-ginormal | 0.0.2-lp153.1.5 | Generalized Inverse Normal Distribution Density and Generati |
| R-GInSARCorW | 1.15.8-lp153.2.4 | GACOS InSAR Correction Workflow |
| R-gIPFrm | 3.1-lp153.2.13 | Generalized Iterative Proportional Fitting for Relational Mo |
| R-giphyr | 0.2.0-lp153.15.7 | R Interface to the Giphy API |
| R-GIplot | 0.1.0-lp153.1.12 | Gaussian Interval Plot (GIplot) |
| R-GISSB | 1.1-lp153.9.3 | Network Analysis on the Norwegian Road Network |
| R-gistr | 0.9.0-lp153.25.2 | Work with \'GitHub\' \'Gists\' |
| R-git2r | 0.33.0-lp153.1.4 | Provides Access to Git Repositories |
| R-git2r | 0.26.1-lp154.1.10 | Provides Access to Git Repositories |
| R-git2r | 0.26.1-1.30 | Provides Access to Git Repositories |
| R-git2r | 0.26.1-lp153.1.23 | Provides Access to Git Repositories |
| R-git2r | 0.26.1-lp155.1.5 | Provides Access to Git Repositories |
| R-git2r | 0.26.1-1.36 | Provides Access to Git Repositories |
| R-git2rdata | 0.4.0-lp153.1.10 | Store and Retrieve Data.frames in a Git Repository |
| R-git4r | 0.1.2-lp153.10.3 | Interactive Git for R |
| R-gitcreds | 0.1.2-lp153.1.8 | Query \'git\' Credentials from \'R\' |
| R-gitdown | 0.1.6-lp153.12.3 | Turn Your Git Commit Messages into a HTML Book |
| R-gitgadget | 0.8.1-lp153.3.2 | \'Rstudio\' Addin for Version Control and Assignment Managem |
| R-gitGPT | 0.1.3-lp153.1.5 | Automated Git Commit Messages using the \'OpenAI\' \'GPT\' M |
| R-githubr | 0.9.1-lp153.3.2 | Easier to Use API Wrapper for \'GitHub\' |
| R-gitlabr | 2.1.0-lp153.2.2 | Access to the \'GitLab\' API |
| R-gitlink | 0.1.3-lp153.8.2 | Add \'Git\' Links to Your Web Based Assets |
| R-gitr | 0.0.1-lp153.1.7 | A Lightweight API for \'Git\' |
| R-gittargets | 0.0.7-lp153.5.2 | Data Version Control for the Targets Package |
| R-givitiR | 1.3-lp153.2.13 | The GiViTI Calibration Test and Belt |
| R-gJLS2 | 0.2.0-lp153.8.7 | A Generalized Joint Location and Scale Framework for Associa |
| R-gk | 0.6.0-lp153.4.4 | g-and-k and g-and-h Distribution Functions |
| R-GK2011 | 0.1.3-lp153.2.13 | Gaines and Kuklinski (2011) Estimators for Hybrid Experiment |
| R-gkgraphR | 1.0.2-lp153.1.13 | Accessing the Official \'Google Knowledge Graph\' API |
| R-glacierSMBM | 0.1-lp153.3.12 | Glacier Surface Mass Balance Model |
| R-glancedata | 1.0.1-lp153.21.4 | Generate tables and plots to get summaries of data |
| R-glarma | 1.6.0-lp153.2.13 | Generalized Linear Autoregressive Moving Average Models |
| R-GlarmaVarSel | 1.0-lp153.8.7 | Variable Selection in Sparse GLARMA Models |
| R-glassdoor | 0.8.1-lp153.2.12 | Interface to \'Glassdoor\' API |
| R-glasso | 1.8-1.31 | Graphical lasso- estimation of Gaussian graphical models |
| R-glasso | 1.8-lp155.1.5 | Graphical lasso- estimation of Gaussian graphical models |
| R-glasso | 1.8-lp153.1.24 | Graphical lasso- estimation of Gaussian graphical models |
| R-glasso | 1.8-lp154.1.10 | Graphical lasso- estimation of Gaussian graphical models |
| R-glasso | 1.11-lp153.2.13 | Graphical Lasso: Estimation of Gaussian Graphical Models |
| R-glasso | 1.8-1.38 | Graphical lasso- estimation of Gaussian graphical models |
| R-glassoFast | 1.0.1-lp153.1.5 | Fast Graphical LASSO |
| R-glba | 0.2.1-lp153.1.9 | General Linear Ballistic Accumulator Models |
| R-gld | 2.6.6-lp153.1.8 | Estimation and use of the generalised (Tukey) lambda distrib |
| R-GLDEX | 2.0.0.9.3-lp153.1.5 | Fitting Single and Mixture of Generalised Lambda Distributio |
| R-GLDreg | 1.1.1-lp153.1.4 | Fit GLD Regression/Quantile/AFT Model to Data |
| R-gldrm | 1.6-lp153.1.4 | Generalized Linear Density Ratio Models |
| R-GLIDE | 1.0.5-lp153.1.9 | Global and Individual Tests for Direct Effects |
| R-glinternet | 1.0.12-lp153.1.12 | Learning Interactions via Hierarchical Group-Lasso Regulariz |
| R-gllm | 0.38-lp153.1.8 | Generalised log-linear model |
| R-glm2 | 1.2.1-lp153.2.13 | Fitting Generalized Linear Models |
| R-glmbb | 0.5.1-lp153.2.13 | All Hierarchical or Graphical Models for Generalized Linear |
| R-glmc | 0.3.1-lp153.4.11 | Fitting Generalized Linear Models Subject to Constraints |
| R-glmdm | 2.60-lp153.2.13 | R Code for Simulation of GLMDM |
| R-glme | 0.1.0-lp153.12.7 | Generalized Linear Mixed Effects Models |
| R-glmglrt | 0.2.2-lp153.4.12 | GLRT P-Values in Generalized Linear Models |
| R-glmlep | 0.2-lp153.2.13 | Fit GLM with LEP-Based Penalized Maximum Likelihood |
| R-GLMMadaptive | 0.9.1-lp153.1.5 | Generalized Linear Mixed Models using Adaptive Gaussian Quad |
| R-glmmADMB | 0.8.3.3-lp153.1.23 | Generalized Linear Mixed Models using \'AD Model Builder\' |
| R-glmmADMB | 0.8.3.3-1.24 | Generalized Linear Mixed Models using \'AD Model Builder\' |
| R-glmmADMB | 0.8.3.3-1.60 | Generalized Linear Mixed Models using \'AD Model Builder\' |
| R-glmmboot | 0.6.0-lp153.1.12 | Bootstrap Resampling for Mixed Effects and Plain Models |
| R-glmMisrep | 0.1.1-lp153.2.2 | Generalized Linear Models Adjusting for Misrepresentation |
| R-GLMMselect | 1.2.0-lp153.1.5 | Bayesian Model Selection for Generalized Linear Mixed Models |
| R-glmmTMB | 0.2.2.0-lp153.2.31 | Generalized Linear Mixed Models using Template Model Builder |
| R-glmmTMB | 0.2.2.0-lp154.2.10 | Generalized Linear Mixed Models using Template Model Builder |
| R-glmnet | 2.0.18-1.60 | Lasso and elastic-net regularized generalized linear models |
| R-glmnet | 2.0.18-1.30 | Lasso and elastic-net regularized generalized linear models |
| R-glmnetcr | 1.0.6-lp153.4.7 | Fit a Penalized Constrained Continuation Ratio Model for Pre |
| R-glmnetSE | 0.0.1-lp153.2.7 | Add Nonparametric Bootstrap SE to \'glmnet\' for Selected Co |
| R-glmnetUtils | 1.1.8-lp153.3.7 | Utilities for \'Glmnet\' |
| R-glmpath | 0.98-lp153.2.13 | L1 Regularization Path for Generalized Linear Models and Cox |
| R-glmpathcr | 1.0.10-lp153.1.4 | Fit a Penalized Continuation Ratio Model for Predicting an O |
| R-glmpca | 0.2.0-lp153.2.13 | Dimension Reduction of Non-Normally Distributed Data |
| R-glmpermu | 0.0.1-lp153.2.2 | Permutation-Based Inference for Generalized Linear Models |
| R-GLMsData | 1.4-lp153.1.8 | Generalized Linear Model Data Sets |
| R-GlmSimulatoR | 1.0.0-lp153.2.2 | Creates Ideal Data for Generalized Linear Models |
| R-glmulti | 1.0.7.1-1.23 | Model selection and multimodel inference made easy |
| R-glmulti | 1.0.7.1-1.24 | Model selection and multimodel inference made easy |
| R-glmulti | 1.0.7.1-lp153.1.23 | Model selection and multimodel inference made easy |
| R-glmvsd | 1.5-lp153.2.7 | Variable Selection Deviation Measures and Instability Tests |
| R-glmxdiag | 1.0.0-lp153.1.11 | A Collection of Graphic Tools for GLM Diagnostics and some E |
| R-globalboosttest | 1.1.0-lp153.1.13 | Testing the additional predictive value of high-dimensional |
| R-GlobalDeviance | 0.4-lp153.2.13 | Global Deviance Permutation Tests |
| R-GlobalFit | 1.2-lp153.2.13 | Bi-Level Optimization of Metabolic Network Models |
| R-globalGSA | 1.0-lp153.2.13 | Global Gene-Set Analysis for Association Studies. |
| R-GlobalOptions | 0.1.2-lp153.2.13 | Generate Functions to Get or Set Global Options |
| R-globalOptTests | 1.1-lp153.2.13 | Objective functions for benchmarking the performance of glob |
| R-globals | 0.16.3-lp153.2.2 | Identify Global Objects in R Expressions |
| R-globals | 0.13.1-lp153.1.23 | Identify Global Objects in R Expressions |
| R-globals | 0.13.1-1.25 | Identify Global Objects in R Expressions |
| R-globals | 0.13.1-lp155.1.5 | Identify Global Objects in R Expressions |
| R-globals | 0.13.1-1.23 | Identify Global Objects in R Expressions |
| R-globals | 0.13.1-lp154.1.10 | Identify Global Objects in R Expressions |
| R-globaltrends | 0.0.14-lp153.2.2 | Download and Measure Global Trends Through Google Search Vol |
| R-globe | 1.2.0-lp153.2.13 | Plot 2D and 3D Views of the Earth, Including Major Coastline |
| R-glober | 1.0-lp153.1.4 | Estimating Functions with Multivariate B-Splines |
| R-glogis | 1.0.2-lp153.1.10 | Fitting and Testing Generalized Logistic Distributions |
| R-glossary | 1.0.0-lp153.8.2 | Glossaries for Markdown and Quarto Documents |
| R-glossr | 0.8.0-lp153.2.2 | Use Interlinear Glosses in R Markdown |
| R-glrt | 2.0-lp153.2.13 | Generalized Logrank Tests for Interval-censored Failure Time |
| R-gLRTH | 0.2.0-lp153.2.13 | Genome-Wide Association and Linkage Analysis under Heterogen |
| R-GLSME | 1.0.5-lp153.2.13 | Generalized Least Squares with Measurement Error |
| R-glue | 1.4.2-1.24 | Interpreted String Literals |
| R-glue | 1.4.2-1.35 | Interpreted String Literals |
| R-glue | 1.4.2-lp155.1.5 | Interpreted String Literals |
| R-glue | 1.4.2-lp153.1.28 | Interpreted String Literals |
| R-glue | 1.4.2-lp154.1.10 | Interpreted String Literals |
| R-gluedown | 1.0.9-lp153.2.2 | Wrap Vectors in Markdown Formatting |
| R-gluvarpro | 7.0-lp153.6.2 | Glucose Variability Measures from Continuous Glucose Monitor |
| R-glvmfit | 0.1.0-lp153.1.12 | Methods to Assess Generalized Latent Variable Model Fit |
| R-glycanr | 0.4.0-lp153.12.2 | Tools for Analysing N-Glycan Data |
| R-GMAC | 3.1-lp153.1.10 | Genomic Mediation Analysis with Adaptive Confounding Adjustm |
| R-gmailr | 2.0.0-lp153.1.5 | Access the \'Gmail\' \'RESTful\' API |
| R-GmAMisc | 1.2.1-lp153.10.7 | \'Gianmarco Alberti\' Miscellaneous |
| R-GmAMisc | 1.2.1-10.17 | \'Gianmarco Alberti\' Miscellaneous |
| R-gmapsdistance | 4.0.4-lp153.1.5 | Distance and Travel Time Between Two Points from Google Maps |
| R-gMCPLite | 0.1.5-lp153.1.4 | Lightweight Graph Based Multiple Comparison Procedures |
| R-GMDH | 1.6-lp153.2.13 | Short Term Forecasting via GMDH-Type Neural Network Algorith |
| R-GMDH2 | 1.8-lp153.14.2 | Binary Classification via GMDH-Type Neural Network Algorithm |
| R-GMDHreg | 0.2.3-lp153.1.4 | Regression using GMDH Algorithms |
| R-gmeta | 2.3.1-lp153.1.13 | Meta-Analysis via a Unified Framework of Confidence Distribu |
| R-gmfd | 1.0.1-lp153.2.13 | Inference and Clustering of Functional Data |
| R-gmgm | 1.1.2-lp153.13.2 | Gaussian Mixture Graphical Model Learning and Inference |
| R-gmm | 1.8-lp153.1.5 | Generalized Method of Moments and Generalized Empirical Like |
| R-GMMBoost | 1.1.5-lp153.1.5 | Likelihood-Based Boosting for Generalized Mixed Models |
| R-gmmsslm | 1.1.5-lp153.1.5 | Semi-Supervised Gaussian Mixture Model with a Missing-Data M |
| R-gmodels | 2.15.4.1-lp155.2.5 | Various R programming tools for model fitting |
| R-gmodels | 2.15.4.1-lp154.2.10 | Various R programming tools for model fitting |
| R-gmodels | 2.15.4.1-lp153.2.24 | Various R programming tools for model fitting |
| R-gmodels | 2.15.4.1-2.39 | Various R programming tools for model fitting |
| R-gmodels | 2.15.4.1-2.25 | Various R programming tools for model fitting |
| R-gmodels | 2.19.1-lp153.2.2 | Various R programming tools for model fitting |
| R-gmp | 0.5.13.2-lp154.1.10 | Multiple Precision Arithmetic |
| R-gmp | 0.5.13.2-1.38 | Multiple Precision Arithmetic |
| R-gmp | 0.5.13.2-1.35 | Multiple Precision Arithmetic |
| R-gmp | 0.5.13.2-lp155.1.5 | Multiple Precision Arithmetic |
| R-gmp | 0.5.13.2-lp153.1.26 | Multiple Precision Arithmetic |
| R-gmpoly | 1.1.0-lp153.12.2 | Multivariate Polynomials with Rational Coefficients |
| R-GMPro | 0.1.0-lp153.8.4 | Graph Matching with Degree Profiles |
| R-GmptzCurve | 0.1.0-lp153.1.9 | Gompertz Curve Fitting |
| R-GMSE | 1.0.0.2-lp153.7.2 | Generalised Management Strategy Evaluation Simulator |
| R-GMSimpute | 0.0.1.0-lp153.16.2 | Generalized Mass Spectrum Missing Peaks Abundance Imputation |
| R-gmt | 2.0.3-lp153.1.9 | Interface between GMT map-making software and R |
| R-gmvarkit | 2.1.2-lp153.2.2 | Estimate Gaussian and Student\'s t Mixture Vector Autoregres |
| R-GMZTests | 0.1.4-lp153.3.12 | Statistical Tests |
| R-GNE | 0.99.5-lp153.1.5 | Computation of Generalized Nash Equilibria |
| R-gnFit | 0.2.0-lp153.2.13 | Goodness of Fit Test for Continuous Distribution Functions |
| R-GNGTools | 1.0.0-lp153.5.7 | Tools for Go/No-Go Decision-Making Framework |
| R-gnlm | 1.1.1-lp153.2.13 | Generalized Nonlinear Regression Models |
| R-gnm | 1.1.5-lp153.1.5 | Generalized Nonlinear Models |
| R-gnm | 1.0_7-3.27 | Generalized Nonlinear Models |
| R-gnm | 1.0_7-lp153.3.20 | Generalized Nonlinear Models |
| R-gnm | 1.0_7-lp154.3.6 | Generalized Nonlinear Models |
| R-gnm | 1.0_7-lp155.3.2 | Generalized Nonlinear Models |
| R-gnm | 1.0_7-3.34 | Generalized Nonlinear Models |
| R-gnn | 0.0.4-lp153.1.3 | Generative Neural Networks |
| R-gnomonicM | 1.0.1-lp153.24.2 | Estimate Natural Mortality for Different Life Stages |
| R-gnonadd | 1.0.2-lp153.1.5 | Various Non-Additive Models for Genetic Associations |
| R-gnorm | 1.0.0-lp153.2.13 | Generalized Normal/Exponential Power Distribution |
| R-gnrprod | 1.1.2-lp153.1.5 | Estimates Gross Output Functions |
| R-GNRS | 0.3.4-lp153.2.8 | Access the \'Geographic Name Resolution Service\' |
| R-GNSSseg | 6.0-lp153.2.13 | Homogenization of GNSS Series |
| R-gnumeric | 0.7.10-lp153.1.5 | Read Data from Files Readable by \'gnumeric\' |
| R-goalp | 0.3.1-lp153.2.7 | Weighted and Lexicographic Goal Programming Interface |
| R-goeveg | 0.7.5-lp153.2.2 | Functions for Community Data and Ordinations |
| R-gofastr | 0.3.0-lp153.15.3 | Fast DocumentTermMatrix and TermDocumentMatrix Creation |
| R-gofCopula | 0.4.1-lp153.6.2 | Goodness-of-Fit Tests for Copulae |
| R-gofedf | 0.1.0-lp153.1.5 | Goodness of Fit Tests Based on Empirical Distribution Functi |
| R-gofgamma | 1.0-lp153.2.13 | Goodness-of-Fit Tests for the Gamma Distribution |
| R-GoFKernel | 2.1.1-lp153.2.13 | Testing Goodness-of-Fit with the Kernel Density Estimator |
| R-GOFShiny | 0.1.0-lp153.16.2 | Interactive Document for Working with Goodness of Fit Analys |
| R-goftest | 1.2.3-lp153.1.12 | Classical Goodness-of-Fit Tests for Univariate Distributions |
| R-gogarch | 0.7.5-lp153.3.7 | Generalized Orthogonal GARCH (GO-GARCH) Models |
| R-goldilocks | 0.3.0-lp153.8.7 | Goldilocks Adaptive Trial Designs for Time-to-Event Endpoint |
| R-gomms | 1.0-lp153.2.13 | GLM-Based Ordination Method |
| R-GomoGomonoMi | 0.1.0-lp153.8.2 | Animate Text using the \'Animate.css\' Library |
| R-gontr | 1.1.0-lp153.2.13 | Dataset for \'GOxploreR\' |
| R-good | 1.0.2-lp153.2.2 | Good Regression |
| R-GoodFitSBM | 0.0.1-lp153.1.3 | Monte Carlo Goodness-of-Fit Tests for Stochastic Block Model |
| R-GoodmanKruskal | 0.0.3-lp153.3.13 | Association Analysis for Categorical Variables |
| R-goodpractice | 1.0.5-lp153.1.2 | Advice on R Package Building |
| R-googleadsR | 1.0.0-lp153.1.7 | Access to \'Google Ads\' via the \'Windsor.ai\' API |
| R-googleAuthR | 2.0.2-lp153.2.2 | Authenticate and Create Google APIs |
| R-googleCloudRunner | 0.3.0-lp153.3.11 | R Scripts in the Google Cloud via Cloud Run, Cloud Build and |
| R-googleCloudStorageR | 0.7.0-lp153.4.5 | Interface with Google Cloud Storage API |
| R-googleCloudVisionR | 0.2.0-lp153.11.5 | Access to the \'Google Cloud Vision\' API for Image Recognit |
| R-googleComputeEngineR | 0.3.0-lp153.11.5 | R Interface with Google Compute Engine |
| R-googledrive | 2.1.1-lp153.1.5 | An Interface to Google Drive |
| R-googleErrorReportingR | 0.0.4-lp153.1.7 | Send Error Reports to the Google Error Reporting Service API |
| R-GoogleKnowledgeGraphR | 0.1.0-lp153.2.13 | Retrieve Information from \'Google Knowledge Graph\' API |
| R-googleLanguageR | 0.3.0-lp153.14.5 | Call Google\'s \'Natural Language\' API, \'Cloud Translation |
| R-googlenlp | 0.2.0-lp153.13.5 | An Interface to Google\'s Cloud Natural Language API |
| R-googlePrintr | 0.0.1-lp153.8.7 | Connect to \'Google Cloud Print\' API |
| R-googlePublicData | 0.16.1-lp153.13.4 | Working with Google\'s \'Public Data Explorer\' DSPL Metadat |
| R-googlePubsubR | 0.0.4-lp153.2.5 | R Interface for Google \'Cloud Pub/Sub\' REST API |
| R-googler | 0.0.1-lp153.11.5 | Google from the R Console |
| R-googlesheets | 0.3.0-lp153.9.11 | Manage Google Spreadsheets from R |
| R-googlesheets4 | 1.1.1-lp153.1.5 | Access Google Sheets using the Sheets API V4 |
| R-googleTagManageR | 0.2.0-lp153.7.5 | Access the \'Google Tag Manager\' API using R |
| R-googleVis | 0.7.3-lp153.2.2 | R Interface to Google Charts |
| R-GOplot | 1.0.2-lp153.14.5 | Visualization of Functional Analysis Data |
| R-gor | 1.0-lp153.4.4 | Algorithms for the Subject Graphs and Network Optimization |
| R-GORCure | 2.0-lp153.3.12 | Fit Generalized Odds Rate Mixture Cure Model with Interval C |
| R-goric | 1.1.2-lp153.1.13 | Generalized Order-Restricted Information Criterion |
| R-gorpiper | 1.0.1-lp153.6.7 | GORpipe Tool for R |
| R-gotop | 0.1.4-lp153.2.2 | Scroll Back to Top Icon in Shiny and R Markdown |
| R-govdown | 0.10.1-lp153.17.2 | GOV.UK Style Templates for R Markdown |
| R-govinfoR | 0.0.3-lp153.1.4 | A \'GovInfo\' API Wrapper |
| R-govStatJPN | 0.1-lp153.2.13 | functions to get public survey data in Japan |
| R-gower | 0.2.1-1.32 | Gower\'s Distance |
| R-gower | 0.2.1-lp155.1.5 | Gower\'s Distance |
| R-gower | 1.0.1-lp153.2.7 | Gower\'s Distance |
| R-gower | 0.2.1-lp153.1.23 | Gower\'s Distance |
| R-gower | 0.2.1-lp154.1.10 | Gower\'s Distance |
| R-gower | 0.2.1-1.32 | Gower\'s Distance |
| R-gpairs | 1.3.3-lp153.2.13 | The Generalized Pairs Plot |
| R-GPArotateDF | 2023.11.1-lp153.1.4 | Derivative Free Gradient Projection Factor Rotation |
| R-GPArotation | 2024.3.1-lp153.2.2 | Gradient Projection Factor Rotation |
| R-gPCA | 1.0-lp153.1.13 | Batch Effect Detection via Guided Principal Components Analy |
| R-gpclib | 1.5.6-lp153.2.13 | General Polygon Clipping Library for R |
| R-GPCSIV | 0.1.0-lp153.1.13 | GPCSIV, Generalized Principal Component of Symbolic Interval |
| R-gPdtest | 0.4-lp153.2.13 | Bootstrap goodness-of-fit test for the generalized Pareto di |
| R-GPfit | 1.0.8-lp153.3.7 | Gaussian Processes Modeling |
| R-GPIC | 0.1.0-lp153.1.12 | Quantifying Group Performance in Individual Competitions |
| R-gpk | 1.0-lp153.2.13 | 100 Data Sets for Statistics Education |
| R-gpkg | 0.0.8-lp153.1.4 | Utilities for the Open Geospatial Consortium \'GeoPackage\' |
| R-GPL2025 | 1.0.1-lp153.13.7 | Convert Chip ID of the GPL2015 into GeneBank Accession and E |
| R-gplots | 2.14.2-lp154.1.10 | Various R programming tools for plotting data |
| R-gplots | 2.14.2-1.40 | Various R programming tools for plotting data |
| R-gplots | 2.14.2-1.28 | Various R programming tools for plotting data |
| R-gplots | 2.14.2-lp153.1.25 | Various R programming tools for plotting data |
| R-gplots | 2.14.2-lp155.1.5 | Various R programming tools for plotting data |
| R-gplsim | 1.0.0-lp153.1.7 | Spline Estimation for GPLSIM |
| R-GPLTR | 1.5-lp153.2.2 | Generalized Partially Linear Tree-Based Regression Model |
| R-gpmap | 0.1.2-lp153.10.7 | Analysing and Plotting Genotype-Phenotype Maps |
| R-GPoM | 1.3-lp153.12.7 | Generalized Polynomial Modelling |
| R-GPoM.FDLyapu | 1.0-lp153.12.7 | Lyapunov Exponents and Kaplan-Yorke Dimension |
| R-gppm | 0.2.0-lp153.2.7 | Gaussian Process Panel Modeling |
| R-GPrank | 0.1.4-lp153.6.11 | Gaussian Process Ranking of Multiple Time Series |
| R-gProfileR | 0.7.0-lp153.5.7 | Interface to the \'g:Profiler\' Toolkit |
| R-gprofiler2 | 0.2.3-lp153.3.2 | Interface to the \'g:Profiler\' Toolset |
| R-gps | 1.2-lp153.1.4 | General P-Splines |
| R-gps.track | 1.0.0-lp153.2.4 | GPS Track Point Information Extractor |
| R-GPSCDF | 0.1.1-lp153.31.2 | Generalized Propensity Score Cumulative Distribution Functio |
| R-GPSeqClus | 1.4.0-lp153.5.2 | Sequential Clustering Algorithm for Location Data |
| R-gptk | 1.08-lp153.4.11 | Gaussian Processes Tool-Kit |
| R-gptoolsStan | 0.1.0-lp153.1.4 | Gaussian Processes on Graphs and Lattices in \'Stan\' |
| R-gptr | 0.6.0-lp153.2.2 | A Convenient R Interface with the OpenAI \'ChatGPT\' API |
| R-gptstudio | 0.4.0-lp153.2.2 | Use Large Language Models Directly in your Development Envir |
| R-gptzeror | 0.0.1-lp153.2.2 | Identify Text Written by Large Language Models using \'GPTZe |
| R-GPUmatrix | 1.0.2-lp153.2.2 | Basic Linear Algebra with GPU |
| R-gpx | 1.1.0-lp153.9.4 | Process GPX Files into R Data Structures |
| R-gqlr | 0.0.2-lp153.8.2 | \'GraphQL\' Server in R |
| R-gquad | 2.1.2-lp153.4.7 | Prediction of G Quadruplexes and Other Non-B DNA Motifs |
| R-grabsampling | 1.0.0-lp153.15.2 | Probability of Detection for Grab Sample Selection |
| R-Grace | 0.5.3-lp153.4.7 | Graph-Constrained Estimation and Hypothesis Tests |
| R-gradDescent | 3.0-lp153.2.13 | Gradient Descent for Regression Tasks |
| R-grade | 0.2.1-lp153.2.13 | Binary Grading functions for R. |
| R-graDiEnt | 1.0.1-lp153.1.9 | Stochastic Quasi-Gradient Differential Evolution Optimizatio |
| R-gradientPickerD3 | 0.1.0.0-lp153.16.2 | Interactive Color Gradient Picker Using \'htmlwidgets\' and |
| R-gramEvol | 2.1.4-lp153.2.13 | Grammatical Evolution for R |
| R-GramQuad | 0.1.1-lp153.1.8 | Gram Quadrature |
| R-grand | 0.9.0-lp153.5.4 | Guidelines for Reporting About Network Data |
| R-grangers | 0.1.0-lp153.4.5 | Inference on Granger-Causality in the Frequency Domain |
| R-granovaGG | 1.4.1-lp153.2.2 | Graphical Analysis of Variance Using ggplot2 |
| R-GRAPE | 0.1.1-lp153.2.13 | Gene-Ranking Analysis of Pathway Expression |
| R-grapes | 1.0.0-lp153.2.13 | Make Binary Operators |
| R-gRapfa | 1.0-lp153.2.13 | Acyclic Probabilistic Finite Automata |
| R-graph3d | 0.2.0-lp153.14.2 | A Wrapper of the JavaScript Library \'vis-graph3d\' |
| R-graph4lg | 1.6.0-lp153.10.12 | Build Graphs for Landscape Genetics Analysis |
| R-graphclust | 1.3-lp153.4.4 | Hierarchical Graph Clustering for a Collection of Networks |
| R-GrapheR | 1.9.86.5-lp153.1.4 | A Multi-Platform GUI for Drawing Customizable Graphs in R |
| R-grapherator | 1.0.0-lp153.15.2 | A Modular Multi-Step Graph Generator |
| R-graphframes | 0.1.2-lp153.18.2 | Interface for \'GraphFrames\' |
| R-graphhopper | 0.1.2-lp153.13.7 | An R Interface to the \'GraphHopper\' Directions API |
| R-graphicalExtremes | 0.3.1-lp153.1.4 | Statistical Methodology for Graphical Extreme Value Models |
| R-graphics | 4.4.1-lp155.192.1 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-194.138 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-lp154.192.1 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-50.1 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-56.163 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-50.1 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-192.1 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-50.0.2.1.sr20240605 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-56.163 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-194.138 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-50.1 | Package providing R-core graphics in R-graphics |
| R-graphics | 4.4.1-lp153.192.1 | Package providing R-core graphics in R-graphics |
| R-graphon | 0.3.5-lp153.2.7 | A Collection of Graphon Estimation Methods |
| R-graphPAF | 2.0.0-lp153.2.2 | Estimating and Displaying Population Attributable Fractions |
| R-GraphPCA | 1.1-lp153.36.3 | Graphical Tools of Histogram PCA |
| R-graphscan | 1.1.1-lp153.9.12 | Cluster Detection with Hypothesis Free Scan Statistic |
| R-graphseg | 0.1.0-lp153.3.5 | Segmentation of Graph-Based Signals |
| R-graphsim | 1.0.3-lp153.4.4 | Simulate Expression Data from \'igraph\' Networks |
| R-graphTweets | 0.5.3-lp153.17.4 | Visualise Twitter Interactions |
| R-graphx | 1.0-lp153.3.7 | Graphics Routines for Scientific Research |
| R-graposas | 1.0.0-lp153.1.5 | Graphical Approach Optimal Sample Size |
| R-GrassmannOptim | 2.0.1-lp153.1.9 | Grassmann Manifold Optimization |
| R-graticule | 0.1.2-lp153.2.13 | Meridional and Parallel Lines for Maps |
| R-gravitas | 0.1.3-lp153.21.2 | Explore Probability Distributions for Bivariate Temporal Gra |
| R-gravity | 1.1-lp153.1.2 | Estimation Methods for Gravity Models |
| R-GRCdesigns | 1.0.0-lp153.1.4 | Generalized Row-Column Designs |
| R-GRCRegression | 1.0-lp153.1.5 | Modified Poisson Regression of Grouped and Right-Censored Co |
| R-grDevices | 4.4.1-50.0.2.1.sr20240605 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-lp153.192.1 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-194.138 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-50.1 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-50.1 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-lp154.192.1 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-194.138 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-192.1 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-lp155.192.1 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-56.163 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-50.1 | Package providing R-core graphics devices in R-grDevices |
| R-grDevices | 4.4.1-56.163 | Package providing R-core graphics devices in R-grDevices |
| R-greatR | 2.0.0-lp153.2.2 | Gene Registration from Expression and Time-Courses in R |
| R-grec | 1.6.0-lp153.1.4 | Gradient-Based Recognition of Spatial Patterns in Environmen |
| R-greekLetters | 1.0.2-lp153.2.2 | Routines for Writing Greek Letters and Mathematical Symbols |
| R-greenclust | 1.1.1-lp153.1.5 | Combine Categories Using Greenacre\'s Method |
| R-GREENeR | 0.1.1-lp153.7.7 | Geospatial Regression Equation for European Nutrient Losses |
| R-Greg | 2.0.2-lp153.3.2 | Regression Helper Functions |
| R-GregoryQuadrature | 1.0.0-lp153.2.2 | Gregory Weights for Function Integration |
| R-gregRy | 0.1.0-lp153.10.2 | GREGORY Estimation |
| R-GRelevance | 1.0-lp153.1.7 | Graph-Based k-Sample Comparisons and Relevance Analysis in H |
| R-gremlin | 1.0.1-lp153.2.13 | Mixed-Effects REML Incorporating Generalized Inverses |
| R-GREMLINS | 0.2.1-lp153.5.4 | Generalized Multipartite Networks |
| R-greport | 0.7.4-lp153.5.2 | Graphical Reporting for Clinical Trials |
| R-greta | 0.4.5-lp153.2.2 | Simple and Scalable Statistical Modelling in R |
| R-greta.dynamics | 0.2.0-lp153.7.4 | Modelling Structured Dynamical Systems in \'greta\' |
| R-greta.gp | 0.2.1-lp153.1.4 | Gaussian Process Modelling in \'greta\' |
| R-gretlR | 0.1.4-lp153.17.2 | A Seamless Integration of \'Gretl\' and \'R\' |
| R-grex | 1.9-lp153.2.13 | Gene ID Mapping for Genotype-Tissue Expression (GTEx) Data |
| R-GreyModel | 0.1.0-lp153.1.12 | Fitting and Forecasting of Grey Model |
| R-Greymodels | 2.0.1-lp153.5.7 | Shiny App for Grey Forecasting Model |
| R-greyzoneSurv | 1.0-lp153.10.11 | Fit a Grey-Zone Model with Survival Data |
| R-grid | 4.4.1-50.1 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-50.1 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-50.1 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-192.1 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-56.163 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-50.0.2.1.sr20240605 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-lp154.192.1 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-194.138 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-56.163 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-lp155.192.1 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-lp153.192.1 | Package providing R-grid graphics in R-grid |
| R-grid | 4.4.1-194.138 | Package providing R-grid graphics in R-grid |
| R-gridBase | 0.4_7-1.26 | Integration of base and grid graphics |
| R-gridBase | 0.4.7-lp153.2.13 | Integration of base and grid graphics |
| R-gridBase | 0.4_7-lp154.1.10 | Integration of base and grid graphics |
| R-gridBase | 0.4_7-1.38 | Integration of base and grid graphics |
| R-gridBase | 0.4_7-lp155.1.5 | Integration of base and grid graphics |
| R-gridBase | 0.4_7-lp153.1.24 | Integration of base and grid graphics |
| R-gridBezier | 1.1.1-lp153.2.13 | Bezier Curves in \'grid\' |
| R-GRIDCOPULA | 1.0.1-lp153.2.2 | Bivariate Copula Functions Based on Regular Grid |
| R-gridExtra | 2.3-lp153.1.25 | Miscellaneous Functions for \"Grid\" Graphics |
| R-gridExtra | 2.3-lp154.1.10 | Miscellaneous Functions for \"Grid\" Graphics |
| R-gridExtra | 2.3-lp153.3.5 | Miscellaneous Functions for \"Grid\" Graphics |
| R-gridExtra | 2.3-1.29 | Miscellaneous Functions for \"Grid\" Graphics |
| R-gridExtra | 2.3-lp155.1.5 | Miscellaneous Functions for \"Grid\" Graphics |
| R-gridExtra | 2.3-1.39 | Miscellaneous Functions for \"Grid\" Graphics |
| R-gridGraphics | 0.5.1-lp153.2.13 | Redraw Base Graphics Using \'grid\' Graphics |
| R-gridsampler | 0.6-lp153.20.2 | A Simulation Tool to Determine the Required Sample Size for |
| R-gridstackeR | 0.1.0-lp153.8.2 | Wrapper for \'gridstack.js\' |
| R-gridSVG | 1.7.5-lp153.1.5 | Export \'grid\' Graphics as SVG |
| R-GriegSmith | 1.0-lp153.1.13 | Uses Grieg-Smith method on 2 dimentional spatial data |
| R-grImport | 0.9.3-1.27 | Importing Vector Graphics |
| R-grImport | 0.9.7-lp153.1.5 | Importing Vector Graphics |
| R-grImport | 0.9.3-1.24 | Importing Vector Graphics |
| R-grImport | 0.9.3-lp153.1.23 | Importing Vector Graphics |
| R-gripp | 0.2.20-lp153.13.2 | General Inverse Problem Platform |
| R-grizbayr | 1.3.5-lp153.2.2 | Bayesian Inference for A|B and Bandit Marketing Tests |
| R-grnn | 0.1.0-lp153.2.13 | General regression neural network |
| R-GRNNs | 0.1.0-lp153.5.4 | General Regression Neural Networks Package |
| R-GROAN | 1.3.1-lp153.2.7 | Genomic Regression Workbench |
| R-grobblR | 0.2.1-lp153.10.2 | Creating Flexible, Reproducible \'PDF\' Reports |
| R-GroupBN | 1.2.0-lp153.13.2 | Inferring Group Bayesian Networks using Hierarchical Feature |
| R-groupdata2 | 2.0.3-lp153.2.2 | Creating Groups from Data |
| R-grouped | 0.6.0-lp153.2.13 | Regression Analysis of Grouped and Coarse Data |
| R-groupedstats | 2.0.1-lp153.7.12 | Grouped Statistical Analyses in a Tidy Way |
| R-groupICA | 0.1.1-lp153.2.13 | Independent Component Analysis for Grouped Data |
| R-groupr | 0.1.2-lp153.2.2 | Groups with Inapplicable Values |
| R-grouprar | 0.1.0-lp153.2.2 | Group Response Adaptive Randomization for Clinical Trials |
| R-groupRemMap | 0.1.0-lp153.2.13 | Regularized Multivariate Regression for Identifying Master P |
| R-GroupSeq | 1.4.2-lp153.2.7 | Group Sequential Design Probabilities - With Graphical User |
| R-groupsubsetselection | 1.0.3-lp153.2.13 | Group Subset Selection |
| R-GroupTest | 1.0.1-lp153.2.13 | Multiple Testing Procedure for Grouped Hypotheses |
| R-groupwalk | 0.1.2-lp153.1.9 | Implement the Group Walk Algorithm |
| R-groupWQS | 0.0.3-lp153.2.12 | Grouped Weighted Quantile Sum Regression |
| R-growR | 1.3.0-lp153.2.2 | Implementation of the Vegetation Model ModVege |
| R-growth | 1.1.1-lp153.2.13 | Multivariate Normal and Elliptically-Contoured Repeated Meas |
| R-growthcleanr | 2.2.0-lp153.2.2 | Data Cleaner for Anthropometric Measurements |
| R-growthcurver | 0.3.1-lp153.2.12 | Simple Metrics to Summarize Growth Curves |
| R-growthmodels | 1.3.1-lp153.1.5 | Nonlinear Growth Models |
| R-growthrate | 1.3-lp153.2.13 | Bayesian reconstruction of growth velocity |
| R-growthrates | 0.8.4-lp153.2.7 | Estimate Growth Rates from Experimental Data |
| R-grplasso | 0.4.7-lp153.2.13 | Fitting User-Specified Models with Group Lasso Penalty |
| R-grplassocat | 1.0-lp153.2.13 | Standardization for Group Lasso Models with Categorical Pred |
| R-grpseq | 1.0-lp153.1.11 | Group Sequential Analysis of Clinical Trials |
| R-GrpString | 0.3.2-lp153.3.7 | Patterns and Statistical Differences Between Two Groups of S |
| R-GRPtests | 0.1.2-lp153.1.12 | Goodness-of-Fit Tests in High-Dimensional GLMs |
| R-grr | 0.9.5-lp153.2.13 | Alternative Implementations of Base R Functions |
| R-GRS.test | 1.2-lp153.1.8 | GRS Test for Portfolio Efficiency, Its Statistical Power Ana |
| R-GRSxE | 1.0.1-lp153.1.4 | Testing Gene-Environment Interactions Through Genetic Risk S |
| R-grt | 0.2.1-lp153.2.13 | General Recognition Theory |
| R-GRTo | 1.3-lp153.2.13 | Tools for the Analysis of Gutenberg-Richter Distributions of |
| R-GSA | 1.03.3-lp153.2.2 | Gene set analysis |
| R-GSA.UN | 1.0.0-lp153.3.13 | Global Sensitivity Analysis Tool |
| R-GSAfisherCombined | 1.0-lp153.2.13 | Gene Set Analysis with Fisher Combined Method |
| R-gsalib | 2.2.1-lp153.1.8 | Utility Functions for \'GATK\' |
| R-GSAQ | 1.0-lp153.2.13 | Gene Set Analysis with QTL |
| R-gsarima | 0.1.5-lp153.2.13 | Two Functions for Generalized SARIMA Time Series Simulation |
| R-gsbDesign | 1.0.2-lp153.9.7 | Group Sequential Bayes Design |
| R-gsbm | 0.2.2-lp153.2.7 | Estimate Parameters in the Generalized SBM |
| R-gscramble | 1.0.1-lp153.2.2 | Simulating Admixed Genotypes Without Replacement |
| R-GSD | 1.0.0-lp153.1.4 | Graph Signal Decomposition |
| R-GSDA | 1.0-lp153.12.7 | Gene Set Distance Analysis (GSDA) |
| R-gsDesign | 3.4.0-lp153.5.7 | Group Sequential Design |
| R-GSED | 2.6-lp153.1.5 | Group Sequential Enrichment Design |
| R-gSeg | 1.0-lp153.2.13 | Graph-Based Change-Point Detection (g-Segmentation) |
| R-GSelection | 0.1.0-lp153.3.7 | Genomic Selection |
| R-gSEM | 0.4.3.4-lp153.14.5 | Semi-Supervised Generalized Structural Equation Modeling |
| R-gset | 1.1.0-lp153.11.11 | Group Sequential Design in Equivalence Studies |
| R-gsheet | 0.4.5-lp153.7.2 | Download Google Sheets Using Just the URL |
| R-gsl | 2.1.8-lp153.1.7 | Wrapper for the Gnu Scientific Library |
| R-gslnls | 1.3.2-lp153.2.2 | GSL Multi-Start Nonlinear Least-Squares Fitting |
| R-gsloid | 0.2.0-lp153.1.9 | Global Sea Level and Oxygen Isotope Data |
| R-GSM | 1.3.2-lp153.2.13 | Gamma Shape Mixture |
| R-gsMAMS | 0.7.2-lp153.2.2 | Group Sequential Designs of Multi-Arm Multi-Stage Trials |
| R-gsmoothr | 0.1.7-lp153.2.13 | Smoothing tools |
| R-GSMX | 1.3-lp153.2.13 | Multivariate Genomic Selection |
| R-gson | 0.1.0-lp153.2.2 | Base Class and Methods for \'gson\' Format |
| R-GSparO | 1.0-lp153.14.5 | Group Sparse Optimization |
| R-gsrs | 0.1.1-lp153.1.12 | A Group-Specific Recommendation System |
| R-gsrsb | 1.2.1-lp153.1.5 | Group Sequential Refined Secondary Boundary |
| R-gss | 2.1_3-2.38 | General Smoothing Splines |
| R-gss | 2.1_3-lp153.2.24 | General Smoothing Splines |
| R-gss | 2.1_3-2.32 | General Smoothing Splines |
| R-gss | 2.1_3-lp154.2.10 | General Smoothing Splines |
| R-gss | 2.1_3-lp155.2.5 | General Smoothing Splines |
| R-gstar | 0.1.0-lp153.18.2 | Generalized Space-Time Autoregressive Model |
| R-gStream | 0.2.0-lp153.2.13 | Graph-Based Sequential Change-Point Detection for Streaming |
| R-gstsm | 1.0.0-lp153.1.8 | Generalized Spatial-Time Sequence Miner |
| R-gsubfn | 0.6_6-lp155.1.5 | Utilities for strings and function arguments |
| R-gsubfn | 0.6_6-lp154.1.10 | Utilities for strings and function arguments |
| R-gsubfn | 0.6_6-1.24 | Utilities for strings and function arguments |
| R-gsubfn | 0.6_6-lp153.1.23 | Utilities for strings and function arguments |
| R-gsubfn | 0.6_6-1.38 | Utilities for strings and function arguments |
| R-gsubfn | 0.7-lp153.2.13 | Utilities for strings and function arguments |
| R-GsymPoint | 1.1.2-lp153.1.4 | Estimation of the Generalized Symmetry Point, an Optimal Cut |
| R-gt | 0.7.0-lp153.3.7 | Easily Create Presentation-Ready Display Tables |
| R-gt4ireval | 2.0-lp153.2.13 | Generalizability Theory for Information Retrieval Evaluation |
| R-gtable | 0.3.0-lp154.1.10 | Arrange \'Grobs\' in Tables |
| R-gtable | 0.3.0-lp155.1.5 | Arrange \'Grobs\' in Tables |
| R-gtable | 0.3.0-1.30 | Arrange \'Grobs\' in Tables |
| R-gtable | 0.3.0-1.35 | Arrange \'Grobs\' in Tables |
| R-gtable | 0.3.5-lp153.2.2 | Arrange \'Grobs\' in Tables |
| R-gtable | 0.3.0-lp153.1.28 | Arrange \'Grobs\' in Tables |
| R-gtcorr | 0.2.1-lp153.2.13 | Calculate efficiencies of group testing algorithms with corr |
| R-GTDL | 1.0.0-lp153.1.10 | The Generalized Time-Dependent Logistic Family |
| R-gte | 1.2.3-lp153.1.10 | Generalized Turnbull\'s Estimator |
| R-gTests | 0.2-lp153.7.7 | Graph-Based Two-Sample Tests |
| R-gTestsMulti | 0.1.1-lp153.1.5 | New Graph-Based Multi-Sample Tests |
| R-gtExtras | 0.4.3-lp153.1.7 | Extending \'gt\' for Beautiful HTML Tables |
| R-gtfs2emis | 0.1.0-lp153.4.4 | Estimating Public Transport Emissions from General Transit F |
| R-gtools | 3.8.1-1.28 | Various R programming tools |
| R-gtools | 3.8.1-lp154.1.10 | Various R programming tools |
| R-gtools | 3.8.1-lp155.1.5 | Various R programming tools |
| R-gtools | 3.9.5-lp153.1.4 | Various R programming tools |
| R-gtools | 3.8.1-1.35 | Various R programming tools |
| R-gtools | 3.8.1-lp153.1.27 | Various R programming tools |
| R-gtop | 0.2.0-lp153.16.5 | Game-Theoretically OPtimal (GTOP) Reconciliation Method |
| R-gtranslate | 0.0.1-lp153.2.4 | Translate Between Different Languages |
| R-gtreg | 0.2.0-lp153.2.7 | Regulatory Tables for Clinical Research |
| R-gtrendsR | 1.5.1-lp153.6.7 | Perform and Display Google Trends Queries |
| R-gtsummary | 1.6.2-lp153.2.7 | Presentation-Ready Data Summary and Analytic Result Tables |
| R-gtWAS | 1.1.0-lp153.2.13 | Genome and Transcriptome Wide Association Study |
| R-guardianapi | 0.1.1-lp153.14.7 | Access \'The Guardian\' Newspaper Open Data API |
| R-GuardianR | 0.9-lp153.2.13 | The Guardian API Wrapper |
| R-Guerry | 1.8.3-lp153.1.5 | Maps, Data and Methods Related to Guerry (1833) \"Moral Stat |
| R-guescini | 0.1.0-lp153.2.2 | Real-Time PCR Data Sets by Guescini et al. (2008) |
| R-guess | 0.1-lp153.2.13 | Adjust Estimates of Learning for Guessing |
| R-GuessCompx | 1.0.3-lp153.12.10 | Empirically Estimates Algorithm Complexity |
| R-guf | 1.0.2-lp153.2.13 | Generally Useful Functions |
| R-guidedPLS | 1.0.0-lp153.1.5 | Supervised Dimensional Reduction by Guided Partial Least Squ |
| R-guildai | 0.0.1-lp153.2.5 | Track Machine Learning Experiments |
| R-guiplot | 0.5.0-lp153.5.2 | User-Friendly GUI Plotting Tools |
| R-guix.install | 1.0.0-lp153.1.9 | Install R Packages with GNU Guix |
| R-gumbel | 1.10.2-lp153.2.13 | The Gumbel-Hougaard Copula |
| R-gumboot | 1.0.1-lp153.2.2 | Bootstrap Analyses of Sampling Uncertainty in Goodness-of-Fi |
| R-gunit | 1.0.2-lp153.4.2 | Converts Conductance Units |
| R-gunsales | 0.1.2-lp153.9.12 | Statistical Analysis of Monthly Background Checks of Gun Pur |
| R-gustave | 1.0.0-lp153.1.4 | A User-Oriented Statistical Toolkit for Analytical Variance |
| R-gutenbergr | 0.2.4-lp153.2.2 | Download and Process Public Domain Works from Project Gutenb |
| R-gvc | 6.4.0-lp153.1.9 | Global Value Chains Tools |
| R-gvcm.cat | 1.9-lp153.2.13 | Regularized Categorical Effects/Categorical Effect Modifiers |
| R-gvlma | 1.0.0.3-lp153.2.13 | Global Validation of Linear Models Assumptions |
| R-gwaRs | 0.3.0-lp153.11.2 | Manhattan, Q-Q, and PCA Plots using \'ggplot2\' |
| R-GWASExactHW | 1.2-lp153.2.2 | Exact Hardy-Weinburg Testing for Genome Wide Association Stu |
| R-gwasforest | 1.0.0-lp153.16.7 | Make Forest Plot with GWAS Data |
| R-GWASinspector | 1.7.1-lp153.2.2 | Comprehensive and Easy to Use Quality Control of GWAS Result |
| R-gwasrapidd | 0.99.17-lp153.2.2 | \'REST\' \'API\' Client for the \'NHGRI\'-\'EBI\' \'GWAS\' C |
| R-gwavr | 0.3.1-lp153.1.2 | Get Water Attributes Visually in R |
| R-gwbr | 1.0.5-lp153.1.5 | Local and Global Beta Regression |
| R-gwdegree | 0.1.1-lp153.15.11 | A Shiny App to Aid Interpretation of Geometrically-Weighted |
| R-gwerAM | 1.0-lp153.2.13 | Controlling the genome-wide type I error rate in association |
| R-GWG | 1.0-lp153.2.13 | Calculation of probabilities for inadequate and excessive ge |
| R-GWI | 1.0.2-lp153.1.13 | Count and Continuous Generalized Variability Indexes |
| R-gWidgets | 0.0_54-1.30 | gWidgets API for building toolkit-independent, interactive G |
| R-gWidgets | 0.0_54-lp153.1.26 | gWidgets API for building toolkit-independent, interactive G |
| R-gWidgets | 0.0_54-1.38 | gWidgets API for building toolkit-independent, interactive G |
| R-gWidgets | 0.0_54-lp154.1.10 | gWidgets API for building toolkit-independent, interactive G |
| R-gWidgets | 0.0_54-lp155.1.5 | gWidgets API for building toolkit-independent, interactive G |
| R-gWidgets2 | 1.0.9-lp153.1.11 | Rewrite of gWidgets API for Simplified GUI Construction |
| R-gWidgetsRGtk2 | 0.0_82-2.38 | Toolkit implementation of gWidgets for RGtk2 |
| R-gWidgetsRGtk2 | 0.0_82-2.26 | Toolkit implementation of gWidgets for RGtk2 |
| R-gWidgetsRGtk2 | 0.0_82-lp153.2.23 | Toolkit implementation of gWidgets for RGtk2 |
| R-GWLelast | 1.2.2-lp153.8.7 | Geographically Weighted Logistic Elastic Net Regression |
| R-GWRM | 2.1.0.4-lp153.1.12 | Generalized Waring Regression Model for Count Data |
| R-gwrpvr | 1.0-lp153.2.13 | Genome-Wide Regression P-Value (Gwrpv) |
| R-gwrr | 0.2.2-lp153.7.5 | Fits Geographically Weighted Regression Models with Diagnost |
| R-GWsignif | 1.2-lp153.2.13 | Estimating Genome-Wide Significance for Whole Genome Sequenc |
| R-gwzinbr | 0.1.0-lp153.1.2 | Geographically Weighted Zero Inflated Negative Binomial Regr |
| R-GxEprs | 1.2-lp153.2.2 | Genotype-by-Environment Interaction in Polygenic Score Model |
| R-GxM | 1.1-lp153.2.13 | Maximum Likelihood Estimation for Gene-by-Measured Environme |
| R-gym | 0.1.0-lp153.2.12 | Provides Access to the OpenAI Gym API |
| R-h0 | 1.0.1-lp153.1.5 | A Robust Bayesian Meta-Analysis for Estimating the Hubble Co |
| R-h2o4gpu | 0.3.3-lp153.5.5 | Interface to \'H2O4GPU\' |
| R-H2x2Factorial | 2.0.0-lp153.1.12 | Sample Size Calculation in Hierarchical 2x2 Factorial Trials |
| R-h3lib | 0.1.3-lp153.1.4 | Exposes the \'Uber\' \'H3\' Library to R Packages |
| R-h3r | 0.1.1-lp153.2.2 | Hexagonal hierarchical geospatial indexing system |
| R-haarfisz | 4.5.4-lp153.1.5 | Software to Perform Haar Fisz Transforms |
| R-hablar | 0.3.2-lp153.1.5 | Non-Astonishing Results in R |
| R-hackeRnews | 0.1.0-lp153.11.5 | Wrapper for the \'Official Hacker News\' API |
| R-hacksaw | 0.0.2-lp153.15.7 | Additional Tools for Splitting and Cleaning Data |
| R-hacksig | 0.1.2-lp153.8.2 | A Tidy Framework to Hack Gene Expression Signatures |
| R-HadamardR | 1.0.0-lp153.7.2 | Hadamard Matrix Generation |
| R-HaDeX | 1.2.2-lp153.14.2 | Analysis and Visualisation of Hydrogen/Deuterium Exchange Ma |
| R-hagis | 3.1.12-lp153.2.2 | Analysis of Plant Pathogen Pathotype Complexities, Distribut |
| R-hail | 0.1.1-lp153.2.13 | Read HYDRA Rainfall Data |
| R-hakaiApi | 1.0.2-lp153.6.5 | Authenticated HTTP Request Client for the \'Hakai\' API |
| R-haldensify | 0.2.3-lp153.9.2 | Highly Adaptive Lasso Conditional Density Estimation |
| R-halfcircle | 0.1.0-lp153.7.4 | Plot Halfcircle Diagram |
| R-halfmoon | 0.1.0-lp153.2.2 | Techniques to Build Better Balance |
| R-halk | 0.0.5-lp153.2.2 | Methods to Create Hierarchical Age Length Keys for Age Assig |
| R-hamlet | 0.9.6-lp153.2.13 | Hierarchical Optimal Matching and Machine Learning Toolbox |
| R-handcodeR | 0.1.2-lp153.3.2 | Text Annotation App |
| R-handlr | 0.3.0-lp153.4.4 | Convert Among Citation Formats |
| R-HandTill2001 | 1.0.1-lp153.2.13 | Multiple Class Area under ROC Curve |
| R-handyFunctions | 0.1.0-lp153.5.2 | Useful Functions for Handfully Manipulating and Analyzing Da |
| R-handyplots | 1.1.3-lp153.2.13 | Handy Plots |
| R-hansard | 0.8.0-lp153.18.2 | Provides Easy Downloading Capabilities for the UK Parliament |
| R-hapassoc | 1.2.9-lp153.1.9 | Inference of Trait Associations with SNP Haplotypes and Othe |
| R-Hapi | 0.0.3-lp153.14.5 | Inference of Chromosome-Length Haplotypes Using Genomic Data |
| R-HAPim | 1.3-lp153.2.13 | HapIM |
| R-haplo.ccs | 1.3.2-lp153.21.2 | Estimate Haplotype Relative Risks in Case-Control Data |
| R-haploR | 4.0.7-lp153.6.2 | Query \'HaploReg\', \'RegulomeDB\' |
| R-haploReconstruct | 0.1.2-lp153.3.12 | Reconstruction of Haplotype-Blocks from Time Series Data |
| R-HaploSim | 1.8.4.2-lp153.1.8 | Functions to Simulate Haplotypes |
| R-haplotyper | 0.1-lp153.2.13 | Tool for Clustering Genotypes in Haplotypes |
| R-haplotypes | 1.1.3.1-lp153.2.4 | Manipulating DNA Sequences and Estimating Unambiguous Haplot |
| R-happybiRthday | 0.0.1-lp153.8.12 | Calculate Upcoming Birthday Dates of Github Repos |
| R-happytime | 0.1.0-lp153.2.13 | Two Games to Relieve the Boredom |
| R-hapsim | 0.31-lp153.2.13 | Haplotype Data Simulation |
| R-hardhat | 1.4.0-lp153.2.2 | Construct Modeling Packages |
| R-harmonicmeanp | 3.0.1-lp153.1.4 | Harmonic Mean p-Values and Model Averaging by Mean Maximum L |
| R-HarmonicRegression | 1.0-lp153.2.13 | Harmonic Regression to One or more Time Series |
| R-harmonizer | 0.3.2-lp153.1.7 | Harmonizing CN8 and PC8 Product Codes |
| R-harmonydata | 0.1.1-lp153.1.5 | R Library for \'Harmony\' |
| R-harrypotter | 2.1.1-lp153.14.5 | Palettes Generated from All \"Harry Potter\" Movies |
| R-HARtools | 0.0.5-lp153.2.12 | Read HTTP Archive (\'HAR\') Data |
| R-Harvest.Tree | 1.1-lp153.2.13 | Harvest the Classification Tree |
| R-hash | 2.2.6.3-lp153.1.5 | Full Featured Implementation of Hash Tables/Associative Arra |
| R-hashFunction | 1.0-lp153.1.13 | A collection of non-cryptographic hash functions |
| R-hashids | 0.9.0-lp153.2.13 | Generate Short Unique YouTube-Like IDs (Hashes) from Integer |
| R-hashr | 0.1.4-lp153.1.12 | Hash R Objects to Integers Fast |
| R-Hassani.SACF | 2.0-lp153.1.5 | Computing Lower Bound of Ljung-Box Test |
| R-Hassani.Silva | 1.0-lp153.1.7 | A Test for Comparing the Predictive Accuracy of Two Sets of |
| R-haven | 2.3.1-1.33 | Import and Export \'SPSS\', \'Stata\' and \'SAS\' Files |
| R-haven | 2.3.1-lp155.1.5 | Import and Export \'SPSS\', \'Stata\' and \'SAS\' Files |
| R-haven | 2.3.1-1.38 | Import and Export \'SPSS\', \'Stata\' and \'SAS\' Files |
| R-haven | 2.3.1-lp153.1.25 | Import and Export \'SPSS\', \'Stata\' and \'SAS\' Files |
| R-haven | 2.3.1-lp154.1.10 | Import and Export \'SPSS\', \'Stata\' and \'SAS\' Files |
| R-HazardDiff | 0.1.0-lp153.1.11 | Conditional Treatment Effect for Competing Risks |
| R-hazer | 1.1.1-lp153.2.13 | Identifying Foggy and Cloudy Images by Quantifying Haziness |
| R-hazus | 0.1-lp153.4.10 | Damage functions from FEMA\'s HAZUS software for use in mode |
| R-hbbr | 1.1.2-lp153.4.2 | Hierarchical Bayesian Benefit-Risk Assessment Using Discrete |
| R-HBglm | 0.1-lp153.2.13 | Hierarchical Bayesian Regression for GLMs |
| R-hbim | 1.1.2-lp153.1.5 | Hill/Bliss Independence Model for Combination Vaccines |
| R-hbm | 1.0-lp153.2.13 | Hierarchical Block Matrix Analysis |
| R-hbmem | 0.3.4-lp153.1.5 | Hierarchical Bayesian Analysis of Recognition Memory |
| R-hbsae | 1.2-lp153.1.11 | Hierarchical Bayesian Small Area Estimation |
| R-HBSTM | 1.0.2-lp153.1.9 | Hierarchical Bayesian Space-Time Models for Gaussian Space-T |
| R-hcandersenr | 0.2.0-lp153.2.13 | H.C. Andersens Fairy Tales |
| R-hcc | 0.54-lp153.2.13 | Hidden correlation check |
| R-hcci | 1.1.0-lp153.2.2 | Interval Estimation of Linear Models with Heteroskedasticity |
| R-hchinamap | 0.1.0-lp153.15.2 | Mapping China and Its Provinces |
| R-hcidata | 0.1.0-lp153.2.7 | HCI Datasets |
| R-HCmodelSets | 1.1.3-lp153.1.5 | Regression with a Large Number of Potential Explanatory Vari |
| R-hcp | 0.1-lp153.2.13 | Change Point Estimation for Regression with Heteroscedastic |
| R-HCR | 0.1.1-lp153.2.13 | Causal Discovery from Discrete Data using Hidden Compact Rep |
| R-HCTR | 0.1.1-lp153.6.7 | Higher Criticism Tuned Regression |
| R-hctrial | 0.1.0-lp153.2.13 | Using Historical Controls for Designing Phase II Clinical Tr |
| R-hda | 0.2.14-lp153.3.13 | Heteroscedastic Discriminant Analysis |
| R-hdbma | 1.0-lp153.3.2 | Bayesian Mediation Analysis with High-Dimensional Data |
| R-HDBRR | 1.1.4-lp153.4.7 | High Dimensional Bayesian Ridge Regression without MCMC |
| R-HDCD | 1.1-lp153.2.2 | High-Dimensional Changepoint Detection |
| R-HDCI | 1.0.2-lp153.4.7 | High Dimensional Confidence Interval Based on Lasso and Boot |
| R-HDclassif | 2.2.1-lp153.1.5 | High Dimensional Supervised Classification and Clustering |
| R-HDcpDetect | 0.1.0-lp153.2.13 | Detect Change Points in Means of High Dimensional Data |
| R-HDCurves | 0.1.2-lp153.1.5 | Hierarchical Derivative Curve Estimation |
| R-hdd | 0.1.1-lp153.2.4 | Easy Manipulation of Out of Memory Data Sets |
| R-HDDesign | 1.1-lp153.2.13 | Sample Size Calculation for High Dimensional Classification |
| R-hddtools | 0.9.4-lp153.7.12 | Hydrological Data Discovery Tools |
| R-hdfqlr | 0.6.2-lp153.1.12 | Interface to \'HDFql\' API |
| R-HDGLM | 0.1-lp153.2.13 | Tests for High Dimensional Generalized Linear Models |
| R-hdi | 0.1.9-lp153.3.7 | High-Dimensional Inference |
| R-HDInterval | 0.2.4-lp153.1.7 | Highest (Posterior) Density Intervals |
| R-HDInterval | 0.2.0-1.26 | Highest (Posterior) Density Intervals |
| R-HDInterval | 0.2.0-lp154.1.10 | Highest (Posterior) Density Intervals |
| R-HDInterval | 0.2.0-1.26 | Highest (Posterior) Density Intervals |
| R-HDInterval | 0.2.0-lp153.1.25 | Highest (Posterior) Density Intervals |
| R-HDInterval | 0.2.0-lp155.1.5 | Highest (Posterior) Density Intervals |
| R-hdiVAR | 1.0.2-lp153.1.5 | Statistical Inference for Noisy Vector Autoregression |
| R-hdlm | 1.3.1-lp153.3.11 | Fitting High Dimensional Linear Models |
| R-hdm | 0.3.2-lp153.1.4 | High-Dimensional Metrics |
| R-HDMD | 1.2-lp153.2.13 | Statistical Analysis Tools for High Dimension Molecular Data |
| R-HDMFA | 0.1.1-lp153.1.4 | High-Dimensional Matrix Factor Analysis |
| R-HDMT | 1.0.4-lp153.1.11 | A Multiple Testing Procedure for High-Dimensional Mediation |
| R-HDOMDesign | 1.0.1-lp153.3.2 | High-Dimensional Orthogonal Maximin Distance Designs |
| R-hdpca | 1.1.5-lp153.1.13 | Principal Component Analysis in High-Dimensional Data |
| R-hdqr | 1.0.0-lp153.2.2 | Fast Algorithm for Penalized Quantile Regression |
| R-hdrcde | 3.4-lp153.14.4 | Highest density regions and conditional density estimation |
| R-hds | 0.8.1-lp153.2.13 | Hazard Discrimination Summary |
| R-HDShOP | 0.1.5-lp153.2.2 | High-Dimensional Shrinkage Optimal Portfolios |
| R-HDSinRdata | 0.1.2-lp153.1.2 | Data for the \'Mastering Health Data Science Using R\' Onlin |
| R-HDStIM | 0.1.0-lp153.14.2 | High Dimensional Stimulation Immune Mapping (\'HDStIM\') |
| R-hdsvm | 1.0.0-lp153.2.2 | Fast Algorithm for Support Vector Machine |
| R-HDtest | 2.1-lp153.4.5 | High Dimensional Hypothesis Testing for Mean Vectors, Covari |
| R-HDtweedie | 1.2-lp153.1.9 | The Lasso for Tweedie\'s Compound Poisson Model Using an IRL |
| R-headliner | 0.0.3-lp153.5.2 | Compose Sentences to Describe Comparisons |
| R-HealthCal | 0.1.1-lp153.1.5 | Health Calculator |
| R-healthcare.antitrust | 0.1.4-lp153.1.4 | Healthcare Antitrust Analysis |
| R-healthcareai | 2.5.1-lp153.3.7 | Tools for Healthcare Machine Learning |
| R-healthdb | 0.3.1-lp153.2.2 | Working with Healthcare Databases |
| R-healthequal | 1.0.0-lp153.2.2 | Compute Summary Measures of Health Inequality |
| R-healthfinance | 0.1.0-lp153.20.2 | Financial Projections and Planning for Health Care Practices |
| R-healthforum | 0.1.0-lp153.6.13 | Scrape Patient Forum Data |
| R-healthyR.ts | 0.1.2-lp153.2.12 | The Time Series Modeling Companion to \'healthyR\' |
| R-heapsofpapers | 0.1.0-lp153.8.7 | Easily Download Heaps of PDF and CSV Files |
| R-heatex | 1.0-lp153.2.13 | Heat exchange calculations during physical activity. |
| R-heatmap.plus | 1.3-lp153.2.13 | Heatmap with more sensible behavior. |
| R-heatmap3 | 1.1.9-lp153.1.13 | An Improved Heatmap Package |
| R-heatmapFit | 2.0.4-lp153.2.13 | Fit Statistic for Binary Dependent Variable Models |
| R-heatmaply | 1.5.0-lp153.5.3 | Interactive Cluster Heat Maps Using \'plotly\' and \'ggplot2 |
| R-HEDA | 0.1.5-lp153.11.7 | \'Hydropeaking Events Detection Algorithm\' |
| R-heddlr | 0.6.0-lp153.3.5 | Dynamic R Markdown Document Generation |
| R-heims | 0.4.0-lp153.6.7 | Decode and Validate HEIMS Data from Department of Education, |
| R-helda | 1.1.5-lp153.14.7 | Preprocess Data and Get Better Insights from Machine Learnin |
| R-helixvis | 1.0.1-lp153.18.2 | Visualize Alpha-Helical Peptide Sequences |
| R-HellCor | 1.3-lp153.4.7 | The Hellinger Correlation |
| R-hellno | 0.0.1-lp153.2.13 | Providing \'stringsAsFactors=FALSE\' Variants of \'data.fram |
| R-helminthR | 1.0.10-lp153.12.3 | Access London Natural History Museum Host-Helminth Record Da |
| R-heplots | 1.4.2-lp153.7.5 | Visualizing Hypothesis Tests in Multivariate Linear Models |
| R-here | 1.0.1-lp153.2.13 | A Simpler Way to Find Your Files |
| R-hereR | 1.0.0-lp153.2.2 | \'sf\'-Based Interface to the \'HERE\' REST APIs |
| R-heritability | 1.4-lp153.1.5 | Marker-Based Estimation of Heritability Using Individual Pla |
| R-heritEWAS | 0.2.0-lp153.2.13 | Identify Heritable Methylation Marks |
| R-hermite | 1.1.2-lp153.3.12 | Generalized Hermite Distribution |
| R-het.test | 0.1-lp153.2.13 | White\'s Test for Heteroskedasticity |
| R-HeterFunctionalData | 0.1.0-lp153.2.13 | Test of No Main and/or Interaction Effects in Functional Dat |
| R-HeteroGGM | 1.0.1-lp153.2.4 | Gaussian Graphical Model-Based Heterogeneity Analysis |
| R-HEtools | 1.0.0-lp153.1.4 | Homomorphic Encryption Polynomials |
| R-HETOP | 0.2.6-lp153.4.2 | MLE and Bayesian Estimation of Heteroskedastic Ordered Probi |
| R-hetsurr | 1.0-lp153.1.11 | Assessing Heterogeneity in the Utility of a Surrogate Marker |
| R-hett | 0.3.3-lp153.2.13 | Heteroscedastic t-Regression |
| R-hettest | 1.0-lp153.1.8 | Testing for a Treatment Effect Using a Heterogeneous Surroga |
| R-hettreatreg | 0.1.0-lp153.2.13 | Heterogeneous Treatment Effects in Regression Analysis |
| R-hettx | 0.1.3-lp153.2.2 | Fisherian and Neymanian Methods for Detecting and Measuring |
| R-hetu | 1.0.7-lp153.3.7 | Structural Handling of Finnish Personal Identity Codes |
| R-heuristica | 1.0.3-lp153.20.2 | Heuristics Including Take the Best and Unit-Weight Linear |
| R-hexbin | 1.27.1-2.30 | Hexagonal Binning Routines |
| R-hexbin | 1.27.1-lp154.2.10 | Hexagonal Binning Routines |
| R-hexbin | 1.27.1-lp153.2.24 | Hexagonal Binning Routines |
| R-hexbin | 1.27.1-lp155.2.5 | Hexagonal Binning Routines |
| R-hexbin | 1.27.1-2.38 | Hexagonal Binning Routines |
| R-HextractoR | 1.4-lp153.7.7 | Integrated Tool for Hairping Extraction of RNA Sequences |
| R-hextri | 0.9.17-lp153.1.9 | Hexbin Plots with Triangles |
| R-hexView | 0.3.4-lp153.2.13 | Viewing Binary Files |
| R-hfhub | 0.1.1-lp153.1.5 | Hugging Face Hub Interface |
| R-hflights | 0.1-lp155.1.5 | Flights that departed Houston in 2011 |
| R-hflights | 0.1-1.38 | Flights that departed Houston in 2011 |
| R-hflights | 0.1-lp153.2.13 | Flights that departed Houston in 2011 |
| R-hflights | 0.1-lp153.1.23 | Flights that departed Houston in 2011 |
| R-hflights | 0.1-lp154.1.10 | Flights that departed Houston in 2011 |
| R-hflights | 0.1-1.25 | Flights that departed Houston in 2011 |
| R-hfr | 0.7.1-lp153.1.3 | Estimate Hierarchical Feature Regression Models |
| R-hglasso | 1.3-lp153.13.4 | Learning Graphical Models with Hubs |
| R-hglm | 2.2.1-lp153.2.13 | Hierarchical Generalized Linear Models |
| R-hglm.data | 1.0.1-lp153.2.13 | Data for the \'hglm\' Package |
| R-hgm | 1.23-lp153.1.7 | Holonomic Gradient Method and Gradient Descent |
| R-HGMND | 0.1.0-lp153.5.2 | Heterogeneous Graphical Model for Non-Negative Data |
| R-hgnc | 0.1.4-lp153.2.4 | Download and Import the HUGO Gene Nomenclature Committee (\' |
| R-HGNChelper | 0.8.14-lp153.2.2 | Identify and Correct Invalid HGNC Human Gene Symbols and MGI |
| R-HGraph | 0.1.0-lp153.2.5 | Use Graph Structure to Travel |
| R-HGSL | 1.0.0-lp153.2.13 | Heterogeneous Group Square-Root Lasso |
| R-hgutils | 0.2.11-lp153.11.2 | Collection of Utility Functions |
| R-HH | 3.1_5-lp153.1.14 | Statistical Analysis and Data Display: Heiberger and Holland |
| R-hhi | 1.2.0-lp153.14.5 | Calculate and Visualize the Herfindahl-Hirschman Index |
| R-hht | 2.1.6-lp153.3.5 | The Hilbert-Huang Transform: Tools and Methods |
| R-HI | 0.5-lp153.1.9 | Simulation from distributions supported by nested hyperplane |
| R-HiClimR | 2.2.1-lp153.1.11 | Hierarchical Climate Regionalization |
| R-hiddenf | 2.0-lp153.2.13 | The All-Configurations, Maximum-Interaction F-Test for Hidde |
| R-HiddenMarkov | 1.8.13-lp153.1.13 | Hidden Markov Models |
| R-hidecan | 1.1.0-lp153.4.2 | Create HIDECAN Plots for Visualising Genome-Wide Association |
| R-hier.part | 1.0.6-lp153.2.12 | Hierarchical Partitioning |
| R-hierarchicalDS | 3.0-lp153.14.5 | Functions to Perform Hierarchical Analysis of Distance Sampl |
| R-hierband | 1.0-lp153.2.13 | Convex Banding of the Covariance Matrix |
| R-hierBipartite | 0.0.2-lp153.1.13 | Bipartite Graph-Based Hierarchical Clustering |
| R-hierDiversity | 0.1-lp153.2.13 | Hierarchical Multiplicative Partitioning of Complex Phenotyp |
| R-hierfstat | 0.04.22-lp153.1.14 | Estimation and tests of hierarchical F-statistics |
| R-hierNet | 1.9-lp153.2.13 | A Lasso for Hierarchical Interactions |
| R-HierPorfolios | 0.1.0-lp153.1.11 | Hierarchical Clustering-Based Portfolio Allocation Strategie |
| R-hiertest | 1.1-lp153.2.13 | Convex Hierarchical Testing of Interactions |
| R-HIest | 2.0-lp153.2.13 | Hybrid index estimation |
| R-highcharter | 0.9.4-lp153.17.2 | A Wrapper for the \'Highcharts\' Library |
| R-highD2pop | 1.0-lp153.2.13 | Two-Sample Tests for Equality of Means in High Dimension |
| R-HighDimOut | 1.0.0-lp153.7.12 | Outlier Detection Algorithms for High-Dimensional Data |
| R-highDmean | 0.1.0-lp153.2.13 | Testing Two-Sample Mean in High Dimension |
| R-HighestMedianRules | 1.0-lp153.2.13 | Implementation of Voting Rules Electing the Candidate with H |
| R-highlight | 0.4.7.2-lp153.1.23 | Syntax Highlighter |
| R-highlight | 0.4.7.2-1.31 | Syntax Highlighter |
| R-highlight | 0.5.1-lp153.1.7 | Syntax Highlighter |
| R-highlight | 0.4.7.2-lp155.1.5 | Syntax Highlighter |
| R-highlight | 0.4.7.2-1.34 | Syntax Highlighter |
| R-highlight | 0.4.7.2-lp154.1.10 | Syntax Highlighter |
| R-highlighter | 0.1-lp153.7.2 | Code Syntax Highlighting using the \'Prism.js\' Library |
| R-highlightHTML | 0.2.5-lp153.2.13 | Highlight HTML Text and Tables |
| R-highmean | 3.0-lp153.3.9 | Two-Sample Tests for High-Dimensional Mean Vectors |
| R-highr | 0.3-1.38 | Syntax highlighting for R |
| R-highr | 0.3-1.30 | Syntax highlighting for R |
| R-highr | 0.3-lp153.1.28 | Syntax highlighting for R |
| R-highr | 0.3-lp155.1.5 | Syntax highlighting for R |
| R-highr | 0.3-lp154.1.10 | Syntax highlighting for R |
| R-highr | 0.11-lp153.2.2 | Syntax Highlighting for R Source Code |
| R-highSCREEN | 0.4-lp153.1.12 | High-Throughput Screening for Plate Based Essays |
| R-hightR | 0.3.0-lp153.1.5 | HIGHT Algorithm |
| R-highTtest | 1.3-lp153.1.9 | Simultaneous Critical Values for t-Tests in Very High Dimens |
| R-higrad | 0.1.0-lp153.2.13 | Statistical Inference for Online Learning and Stochastic App |
| R-hildareadR | 0.2.0-lp153.18.5 | Extract Variables from HILDA |
| R-hillmakeR | 0.2-lp153.2.13 | Perform occupancy analysis |
| R-hillR | 0.5.2-lp155.4.1 | Diversity Through Hill Numbers |
| R-hillR | 0.5.2-lp154.4.1 | Diversity Through Hill Numbers |
| R-hillR | 0.5.2-lp153.4.1 | Diversity Through Hill Numbers |
| R-hillshader | 0.1.0-lp153.16.5 | Create Hillshade Relief Maps Using Ray-Tracing |
| R-HiLMM | 1.1-lp153.2.13 | Estimation of Heritability in Linear Mixed Models |
| R-HIMA | 1.1.0-lp153.2.11 | High-Dimensional Mediation Analysis |
| R-himach | 0.3.2-lp153.2.2 | High Mach Finds Routes for Supersonic Aircraft |
| R-hindex | 0.2.0-lp153.14.7 | Simulating the Development of h-Index Values |
| R-hindexcalculator | 1.0.0-lp153.2.13 | H-Index Calculator using Data from a Web of Science (WoS) Ci |
| R-hint | 0.1.3-lp153.1.11 | Tools for Hypothesis Testing Based on Hypergeometric Interse |
| R-hiphop | 0.0.1-lp153.2.12 | Parentage Assignment using Bi-Allelic Genetic Markers |
| R-hiPOD | 1.0-lp153.10.11 | hierarchical Pooled Optimal Design |
| R-hippie | 0.1.0-lp153.2.7 | Hippie Code Completion in \'RStudio\' |
| R-HistDat | 0.2.0-lp153.1.13 | Summary Statistics for Histogram/Count Data |
| R-HistData | 0.9.1-lp153.1.5 | Data Sets from the History of Statistics and Data Visualizat |
| R-histmdl | 0.7.1-lp153.2.13 | A Most Informative Histogram-Like Model |
| R-histogram | 0.0.25-lp153.2.13 | Construction of Regular and Irregular Histograms with Differ |
| R-HistogramTools | 0.3.2-lp153.28.3 | Utility Functions for R Histograms |
| R-historydata | 0.1-lp153.2.13 | Data Sets for Historians |
| R-histoslider | 0.1.1-lp153.3.2 | A Histogram Slider Input for \'Shiny\' |
| R-hitandrun | 0.5.6-lp153.1.9 | \"Hit and Run\" and \"Shake and Bake\" for Sampling Uniforml |
| R-HIV.LifeTables | 0.1-lp153.2.13 | HIV calibrated model life tables for countries with generali |
| R-hivdata | 0.1.0-lp153.1.5 | Six-Year Chronological Data of HIV and ART Cases in Pakistan |
| R-HiveR | 0.3.63-lp153.17.5 | 2D and 3D Hive Plots for R |
| R-HK80 | 0.0.2-lp153.2.13 | Conversion Tools for HK80 Geographical Coordinate System |
| R-hkclustering | 1.0.1-lp153.2.13 | Ensemble Clustering using K Means and Hierarchical Clusterin |
| R-hkdatasets | 1.0.0-lp153.3.7 | Datasets Related to Hong Kong |
| R-hkex.api | 0.1-lp153.4.8 | API to Retrieve Data from Hong Kong Stock Exchange |
| R-HKprocess | 0.1.1-lp153.1.7 | Hurst-Kolmogorov Process |
| R-HKRbook | 0.1.3-lp153.11.2 | Apps and Data for the Book \"Introduction to Statistics\" |
| R-hlidacr | 0.2.0-lp153.8.2 | Access Data from the \'Hlídač Státu\' API |
| R-HLSM | 0.9.0-lp153.5.5 | Hierarchical Latent Space Network Model |
| R-hmclearn | 0.0.5-lp153.19.4 | Fit Statistical Models Using Hamiltonian Monte Carlo |
| R-HMDHFDplus | 2.0.3-lp153.2.4 | Read Human Mortality Database and Human Fertility Database D |
| R-hmeasure | 1.0-lp155.1.5 | The H-measure and other scalar classification performance me |
| R-hmeasure | 1.0.2-lp153.2.13 | The H-measure and other scalar classification performance me |
| R-hmeasure | 1.0-1.25 | The H-measure and other scalar classification performance me |
| R-hmeasure | 1.0-lp153.1.23 | The H-measure and other scalar classification performance me |
| R-hmeasure | 1.0-lp154.1.10 | The H-measure and other scalar classification performance me |
| R-hmeasure | 1.0-1.38 | The H-measure and other scalar classification performance me |
| R-hmgm | 1.0.3-lp153.10.11 | High-Dimensional Mixed Graphical Models Estimation |
| R-hmi | 1.0.0-lp153.13.10 | Hierarchical Multiple Imputation |
| R-Hmisc | 5.1.3-lp153.1.2 | Harrell Miscellaneous |
| R-HMM | 1.0.1-lp153.1.10 | Hidden Markov Models |
| R-hmm.discnp | 3.0.9-lp153.1.8 | Hidden Markov Models with Discrete Non-Parametric Observatio |
| R-HMMCont | 1.0-lp153.2.13 | Hidden Markov Model for Continuous Observations Processes |
| R-HMMextra0s | 1.1.0-lp153.1.12 | Hidden Markov Models with Extra Zeros |
| R-hmmm | 1.0.5-lp153.2.2 | Hierarchical Multinomial Marginal Models |
| R-HMMpa | 1.0.1-lp153.2.13 | Analysing Accelerometer Data Using Hidden Markov Models |
| R-hmmr | 1.0.0-lp153.1.12 | \"Mixture and Hidden Markov Models with R\" Datasets and Exa |
| R-HMP | 2.0.1-lp153.14.5 | Hypothesis Testing and Power Calculations for Comparing Meta |
| R-HMPTrees | 1.4-lp153.15.7 | Statistical Object Oriented Data Analysis of RDP-Based Taxon |
| R-hms | 0.5.3-1.36 | Pretty Time of Day |
| R-hms | 0.5.3-lp155.1.5 | Pretty Time of Day |
| R-hms | 0.5.3-lp153.1.26 | Pretty Time of Day |
| R-hms | 1.1.3-lp153.1.5 | Pretty Time of Day |
| R-hms | 0.5.3-1.29 | Pretty Time of Day |
| R-hms | 0.5.3-lp154.1.10 | Pretty Time of Day |
| R-Hmsc | 3.0.13-lp153.6.5 | Hierarchical Model of Species Communities |
| R-HMTL | 0.1.0-lp153.1.5 | Heterogeneous Multi-Task Feature Learning |
| R-HMVD | 1.0-lp153.2.13 | Group Association Test using a Hidden Markov Model |
| R-hnp | 1.2.6-lp153.2.13 | Half-Normal Plots with Simulation Envelopes |
| R-hoa | 2.1.4.1-lp153.2.13 | Higher Order Likelihood Inference |
| R-hoardr | 0.5.4-lp153.1.4 | Manage Cached Files |
| R-HOasso | 1.0.1-lp153.2.4 | Higher Order Assortativity for Complex Networks |
| R-hockeyR | 1.3.0-lp153.1.8 | Collect and Clean Hockey Stats |
| R-HodgesTools | 1.0.0-lp153.8.2 | Common Use Tools for Genomic Analysis |
| R-holdem | 1.2-lp153.2.13 | Texas Holdem Simulator |
| R-Holidays | 1.0.7-lp153.2.13 | Holiday and Half-Day Data, for Use with the \'TimeWarp\' Pac |
| R-holiglm | 1.0.0-lp153.1.4 | Holistic Generalized Linear Models |
| R-holland | 0.1.2.1-lp153.8.4 | Statistics for Holland\'s Theory of Vocational Choice |
| R-holodeck | 0.2.2-lp153.1.5 | A Tidy Interface for Simulating Multivariate Data |
| R-homals | 1.0.10-lp153.3.7 | Gifi Methods for Optimal Scaling |
| R-homeR | 0.3.0-lp153.2.13 | Useful Functions for Building Physics |
| R-Homeric | 0.1.3-lp153.2.13 | Doughnut Plots |
| R-homologene | 1.4.68.19.3.27-lp153.14.5 | Quick Access to Homologene and Gene Annotation Updates |
| R-HomomorphicEncryption | 0.9.0-lp153.1.4 | BFV, BGV, CKKS Schema for Fully Homomorphic Encryption |
| R-homtest | 1.0.5-lp153.2.13 | Homogeneity tests for Regional Frequency Analysis |
| R-hoopR | 2.1.0-lp153.4.2 | Access Men\'s Basketball Play by Play Data |
| R-hopbyhop | 3.41-lp153.14.5 | Transmissions and Receptions in a Hop by Hop Network |
| R-hopkins | 1.1-lp153.1.5 | Calculate Hopkins Statistic for Clustering |
| R-horizon | 1.2-lp153.2.13 | Horizon Search Algorithm |
| R-HoRM | 0.1.3-lp153.9.5 | Supplemental Functions and Datasets for \"Handbook of Regres |
| R-hornpa | 1.1.0-lp153.1.9 | Horn\'s (1965) Test to Determine the Number of Components/Fa |
| R-horserule | 1.0.0-lp153.13.11 | Flexible Non-Linear Regression with the HorseRule Algorithm |
| R-horseshoe | 0.2.0-lp153.2.13 | Implementation of the Horseshoe Prior |
| R-HospitalNetwork | 0.9.3-lp153.5.2 | Building Networks of Hospitals Through Patients Transfers |
| R-hospitals | 0.1.0-lp153.6.2 | Portuguese \'NHS\' Hospitals |
| R-HostSwitch | 0.1.3-lp153.2.5 | Simulate the Extent of Host Switching by Consumers |
| R-Hotelling | 1.0.8-lp153.1.12 | Hotelling\'s T^2 Test and Variants |
| R-hotspot | 1.0-lp153.2.13 | Software Hotspot Analysis |
| R-hotspots | 1.0.3-lp153.2.13 | Hot Spots |
| R-housingData | 0.3.0-lp153.2.13 | U.S. Housing Data from 2008 to 2016 |
| R-hover | 0.1.1-lp153.13.2 | CSS Animations for \'shiny\' Button Elements |
| R-howler | 0.3.0-lp153.1.2 | \'Shiny\' Extension of \'howler.js\' |
| R-howmany | 0.3.1-lp153.2.13 | A lower bound for the number of correct rejections |
| R-howzatR | 1.0.1-lp153.2.5 | Useful Functions for Cricket Analysis |
| R-hpackedbubble | 0.1.0-lp153.15.2 | Create Split Packed Bubble Charts |
| R-HPbayes | 0.1-lp153.2.13 | Heligman Pollard mortality model parameter estimation using |
| R-hpcwld | 0.6.5-lp153.1.8 | High Performance Cluster Models Based on Kiefer-Wolfowitz Re |
| R-hpfilter | 1.0.2-lp153.1.5 | The One- And Two-Sided Hodrick-Prescott Filter |
| R-HPLB | 1.0.0-lp153.2.13 | High-Probability Lower Bounds for the Total Variance Distanc |
| R-HQM | 0.1.0-lp153.1.8 | Superefficient Estimation of Future Conditional Hazards Base |
| R-hqmisc | 0.2.1-lp153.1.9 | Miscellaneous Convenience Functions and Dataset |
| R-hR | 0.2.50-lp153.14.2 | Toolkit for Data Analytics in Human Resources |
| R-hrcomprisk | 0.1.1-lp153.2.13 | Nonparametric Assessment Between Competing Risks Hazard Rati |
| R-hrIPW | 0.1.3-lp153.2.13 | Hazard Ratio Estimation using Cox Model Weighted by the Esti |
| R-HRM.curve | 0.0.1-lp153.2.12 | High-Resolution Melting (HRM) Curve Analysis |
| R-hrqglas | 1.1.0-lp153.1.7 | Group Variable Selection for Quantile and Robust Mean Regres |
| R-HRW | 1.0.5-lp153.1.11 | Datasets, Functions and Scripts for Semiparametric Regressio |
| R-HSAUR | 1.3.10-lp153.1.9 | A Handbook of Statistical Analyses Using R (1st Edition) |
| R-HSAUR2 | 1.1.20-lp153.1.5 | A Handbook of Statistical Analyses Using R (2nd Edition) |
| R-hscovar | 0.4.2-lp153.1.12 | Calculation of Covariance Between Markers for Half-Sib Famil |
| R-HSDiC | 0.1-lp153.4.7 | Homogeneity and Sparsity Detection Incorporating Prior Const |
| R-hSDM | 1.4.4-lp153.1.5 | Hierarchical Bayesian Species Distribution Models |
| R-hse | 0.0.28-lp153.1.13 | The hse Distribution |
| R-hsem | 1.0-lp153.1.11 | Hierarchical Structural Equation Model |
| R-hset | 0.1.1-lp153.1.5 | Sets of Numbers Implemented with Hash Tables |
| R-HSEtest | 0.1.0-lp153.1.12 | Homogeneity of Stratum Effects Test |
| R-hsicCCA | 1.0-lp153.2.13 | Canonical Correlation Analysis based on Kernel Independence |
| R-hsm | 0.2.0-lp153.2.13 | A Path-Based BCD for Proximal Function of Latent Group Lasso |
| R-hsmm | 0.4-lp153.2.13 | Hidden Semi Markov Models |
| R-hspm | 1.1-lp153.3.2 | Heterogeneous Spatial Models |
| R-HSPOR | 1.1.9-lp153.20.2 | Hidden Smooth Polynomial Regression for Rupture Detection |
| R-HSSVD | 1.2-lp153.2.13 | Biclustering with Heterogeneous Variance |
| R-htestClust | 0.2.2-lp153.1.9 | Reweighted Marginal Hypothesis Tests for Clustered Data |
| R-htm2txt | 2.2.2-lp153.1.9 | Convert Html into Text |
| R-htmcglm | 0.0.1-lp153.6.7 | Hypothesis Testing for McGLMs |
| R-html2R | 0.1.0-lp153.17.2 | Convert \'HTML\' to \'R\' with a \'Shiny\' App |
| R-html5 | 1.0.2-lp153.1.8 | Creates Valid HTML5 Strings |
| R-htmltab | 0.8.2-lp153.1.12 | Assemble Data Frames from HTML Tables |
| R-htmltools | 0.5.2-1.12 | Tools for HTML |
| R-htmltools | 0.5.2-1.13 | Tools for HTML |
| R-htmltools | 0.5.2-lp154.1.10 | Tools for HTML |
| R-htmltools | 0.5.2-lp153.1.11 | Tools for HTML |
| R-htmltools | 0.5.8.1-lp153.2.2 | Tools for HTML |
| R-htmltools | 0.5.2-lp155.1.5 | Tools for HTML |
| R-HTMLUtils | 0.1.9-lp153.1.4 | Facilitates Automated HTML Report Creation |
| R-htmlwidgets | 1.5.1-lp153.1.25 | HTML Widgets for R |
| R-htmlwidgets | 1.5.1-lp154.1.10 | HTML Widgets for R |
| R-htmlwidgets | 1.6.4-lp153.4.2 | HTML Widgets for R |
| R-htmlwidgets | 1.5.1-1.29 | HTML Widgets for R |
| R-htmlwidgets | 1.5.1-1.34 | HTML Widgets for R |
| R-htmlwidgets | 1.5.1-lp155.1.5 | HTML Widgets for R |
| R-htree | 2.0.0-lp153.2.13 | Historical Tree Ensembles for Longitudinal Data |
| R-HTRX | 1.1.0-lp153.1.7 | Haplotype Trend Regression with eXtra Flexibility (HTRX) |
| R-HTSeed | 0.1.0-lp153.2.2 | Fitting of Hydrotime Model for Seed Germination Time Course |
| R-httpcache | 1.2.0-lp153.2.12 | Query Cache for HTTP Clients |
| R-httpcode | 0.2.0-lp155.1.5 | \'HTTP\' Status Code Helper |
| R-httpcode | 0.2.0-lp154.1.10 | \'HTTP\' Status Code Helper |
| R-httpcode | 0.2.0-lp153.1.25 | \'HTTP\' Status Code Helper |
| R-httpcode | 0.2.0-1.38 | \'HTTP\' Status Code Helper |
| R-httpcode | 0.3.0-lp153.2.13 | \'HTTP\' Status Code Helper |
| R-httpcode | 0.2.0-1.28 | \'HTTP\' Status Code Helper |
| R-httping | 0.2.0-lp153.9.2 | \'Ping\' \'URLs\' to Time \'Requests\' |
| R-httpproblems | 1.0.1-lp153.1.12 | Report Errors in Web Applications with \'Problem Details\' ( |
| R-httpRequest | 0.0.11-lp153.1.9 | Basic HTTP Request |
| R-httpuv | 1.5.2-9.20 | HTTP and WebSocket server library |
| R-httpuv | 1.5.2-lp153.9.14 | HTTP and WebSocket server library |
| R-httpuv | 1.5.2-9.45 | HTTP and WebSocket server library |
| R-httr | 1.4.1-1.29 | Tools for working with URLs and HTTP |
| R-httr | 1.4.1-1.27 | Tools for working with URLs and HTTP |
| R-httr | 1.4.1-lp153.1.25 | Tools for working with URLs and HTTP |
| R-httr | 1.4.1-lp154.1.10 | Tools for working with URLs and HTTP |
| R-httr | 1.4.1-lp155.1.5 | Tools for working with URLs and HTTP |
| R-httr | 1.4.7-lp153.1.5 | Tools for working with URLs and HTTP |
| R-hubeau | 0.5.0-lp153.2.2 | Get Data from the French National Database on Water \'Hub\'E |
| R-hudr | 1.2.0-lp153.10.2 | Providing Data from the US Department of Housing and Urban D |
| R-hues | 0.2.0-lp153.2.13 | Distinct Colour Palettes Based on \'iwanthue\' |
| R-huge | 1.2.7-lp155.2.5 | High-dimensional Undirected Graph Estimation |
| R-huge | 1.2.7-2.31 | High-dimensional Undirected Graph Estimation |
| R-huge | 1.2.7-lp153.2.24 | High-dimensional Undirected Graph Estimation |
| R-huge | 1.2.7-2.41 | High-dimensional Undirected Graph Estimation |
| R-huge | 1.2.7-lp154.2.10 | High-dimensional Undirected Graph Estimation |
| R-humanize | 0.2.0-lp153.6.7 | Create Values for Human Consumption |
| R-humidity | 0.1.5-lp153.2.13 | Calculate Water Vapor Measures from Temperature and Dew Poin |
| R-hunspell | 3.0-lp153.1.23 | High-Performance Stemmer, Tokenizer, and Spell Checker |
| R-hunspell | 3.0-1.31 | High-Performance Stemmer, Tokenizer, and Spell Checker |
| R-hunspell | 3.0-1.33 | High-Performance Stemmer, Tokenizer, and Spell Checker |
| R-hunspell | 3.0-lp154.1.10 | High-Performance Stemmer, Tokenizer, and Spell Checker |
| R-hunspell | 3.0-lp155.1.5 | High-Performance Stemmer, Tokenizer, and Spell Checker |
| R-HURDAT | 0.2.3.2-lp153.7.12 | Hurricane Re-Analysis Project |
| R-hurdlr | 0.1-lp153.2.13 | Zero-Inflated and Hurdle Modelling Using Bayesian Inference |
| R-HurreconR | 1.1-lp153.2.4 | Models Hurricane Wind Speed, Wind Direction, and Wind Damage |
| R-hurricaneexposure | 0.1.1-lp153.20.2 | Explore and Map County-Level Hurricane Exposure in the Unite |
| R-hutils | 1.8.1-lp153.1.10 | Miscellaneous R Functions and Aliases |
| R-HVT | 23.11.1-lp153.3.3 | Constructing Hierarchical Voronoi Tessellations and Overlay |
| R-HW.pval | 1.0-lp153.2.13 | Testing Hardy-Weinberg Equilibrium for Multiallelic Genes |
| R-hwde | 0.67.3-lp153.1.5 | Models and Tests for Departure from Hardy-Weinberg Equilibri |
| R-HWEBayes | 1.4-lp153.4.11 | Bayesian investigation of Hardy-Weinberg Equilibrium via est |
| R-HWEintrinsic | 1.2.3-lp153.1.5 | Objective Bayesian Testing for the Hardy-Weinberg Equilibriu |
| R-hwordcloud | 0.1.0-lp153.23.2 | Rendering Word Clouds |
| R-hwriter | 1.3.2.1-lp153.1.10 | HTML Writer - Outputs R objects in HTML format |
| R-hwsdr | 1.1-lp153.2.4 | Interface to the \'HWSD\' Web Services |
| R-hwwntest | 1.3.2-lp153.1.5 | Tests of White Noise using Wavelets |
| R-HybridDesign | 1.0-lp153.2.7 | Hybrid Design for Phase I Dose-Finding Studies |
| R-hybridEnsemble | 1.7.9-lp153.1.5 | Build, Deploy and Evaluate Hybrid Ensembles |
| R-HybridMC | 0.2-lp153.2.13 | Implementation of the Hybrid Monte Carlo and Multipoint Hybr |
| R-hybridModels | 0.3.7-lp153.15.2 | An R Package for the Stochastic Simulation of Disease Spread |
| R-hybridogram | 0.3.2-lp153.4.5 | Function that Creates a Heat Map from Hybridization Data |
| R-hydflood | 0.5.7-lp153.1.4 | Flood Extents and Durations along the Rivers Elbe and Rhine |
| R-hydra | 0.1.0-lp153.2.13 | Hyperbolic Embedding |
| R-hydraulics | 0.7.0-lp153.2.2 | Basic Pipe and Open Channel Hydraulics |
| R-hydroApps | 0.1.1-lp153.2.13 | Tools and models for hydrological applications |
| R-HYDROCAL | 1.0.0-lp153.1.7 | Hydraulic Roughness Calculator |
| R-HydroCode | 1.0.3-lp153.1.5 | Hydrological Codes |
| R-hydroDCindex | 1.0.0-lp153.2.2 | Duration Curve Hydrological Model Indexes |
| R-hydroEvents | 0.11-lp153.2.7 | Extract Event Statistics in Hydrologic Time Series |
| R-hydrogeo | 0.6.1-lp153.2.13 | Groundwater Data Presentation and Interpretation |
| R-hydroGOF | 0.6.0-lp153.2.2 | Goodness-of-Fit Functions for Comparison of Simulated and Ob |
| R-hydrolinks | 0.10.0-lp153.5.13 | Hydrologic Network Linking Data and Tools |
| R-HydroMe | 2.1.1-lp153.2.2 | Estimating Water Retention and Infiltration Model Parameters |
| R-hydropeak | 0.1.2-lp153.1.7 | Detect and Characterize Sub-Daily Flow Fluctuations |
| R-hydroPSO | 0.5.1-lp153.19.7 | Particle Swarm Optimisation, with Focus on Environmental Mod |
| R-hydroroute | 0.1.2-lp153.4.2 | Trace Longitudinal Hydropeaking Waves |
| R-hydroscoper | 1.4.1-lp153.5.8 | Interface to the Greek National Data Bank for Hydrometeorolo |
| R-hydrostats | 0.2.9-lp153.1.9 | Hydrologic Indices for Daily Time Series Data |
| R-hydroToolkit | 0.1.0-lp153.31.2 | Hydrological Tools for Handling Hydro-Meteorological Data fr |
| R-hydroTSM | 0.7.0-lp153.1.4 | Time Series Management and Analysis for Hydrological Modelli |
| R-hyfo | 1.4.6-lp153.2.2 | Hydrology and Climate Forecasting |
| R-hyper.fit | 1.1.1-lp153.18.5 | Generic N-Dimensional Hyperplane Fitting with Heteroscedasti |
| R-HyperbolicDist | 0.6.5-lp153.1.4 | The hyperbolic distribution |
| R-hypercube | 0.2.1-lp153.29.2 | Organizing Data in Hypercubes |
| R-HyperG | 1.0.0-lp153.6.4 | Hypergraphs in R |
| R-hypergate | 0.8.5-lp153.1.4 | Machine Learning of Hyperrectangular Gating Strategies for H |
| R-hypergea | 1.3.6-lp153.1.13 | Hypergeometric Tests |
| R-hypergeo | 1.2_13-3.24 | The hypergeometric function |
| R-hypergeo | 1.2_13-3.29 | The hypergeometric function |
| R-hypergeo | 1.2_13-lp153.3.23 | The hypergeometric function |
| R-hypergeo | 1.2.13-lp153.2.13 | The Gauss Hypergeometric Function |
| R-hyperoverlap | 1.1.1-lp153.17.5 | Overlap Detection in n-Dimensional Space |
| R-hypersampleplan | 0.1.1-lp153.2.13 | Attribute Sampling Plan with Exact Hypergeometric Probabilit |
| R-hyperSMURF | 2.0-lp153.8.11 | Hyper-Ensemble Smote Undersampled Random Forests |
| R-HyPhy | 1.0-lp153.2.13 | Macroevolutionary phylogentic analysis of species trees and |
| R-hypoRF | 1.0.0-lp153.2.7 | Random Forest Two-Sample Tests |
| R-hypothesestest | 1.0-lp153.2.13 | Confidence Intervals and Tests of Statistical Hypotheses |
| R-hypothesis | 1.1.0-lp153.6.2 | Wrapper for \'hypothes.is\' |
| R-hypothesisr | 0.1.1-lp153.14.7 | Wrapper for the \'Hypothes.is\' Web Annotation Service |
| R-hypr | 0.2.8-lp153.1.4 | Hypothesis Matrix Translation |
| R-hypsoLoop | 0.2.0-lp153.12.2 | A Tool Used to Conduct Hypsometric Analysis of a Watershed |
| R-HyRiM | 2.0.2-lp153.3.7 | Multicriteria Risk Management using Zero-Sum Games with Vect |
| R-HYRISK | 1.2-lp153.2.12 | Hybrid Methods for Addressing Uncertainty in RISK Assessment |
| R-hySAINT | 1.2.1-lp153.2.2 | Hybrid Genetic and Simulated Annealing Algorithm for High Di |
| R-hystReet | 0.0.3-lp153.3.7 | Get Pedestrian Frequency Data from the \'Hystreet\' Project |
| R-hzar | 0.2.5-lp153.4.11 | Hybrid Zone Analysis using R |
| R-i18n | 0.2.0-lp153.1.8 | Internationalization Data from the \'Unicode CLDR\' in Tabul |
| R-i2dash | 0.2.4-lp153.1.5 | Iterative and Interactive Dashboards |
| R-IAbin | 1.0-lp153.2.13 | Plotting N-T Plane for Decision on Performing an Interim Ana |
| R-IAcsSPCR | 1.2.1-lp153.12.4 | Data and Functions for \"An Intro. to Accept. Samp. & SPC/R\ |
| R-iAdapt | 2.0.1-lp153.10.2 | Two-Stage Adaptive Dose-Finding Clinical Trial Design |
| R-iadf | 0.1.2-lp153.10.2 | Analysis of Intra Annual Density Fluctuations |
| R-ialiquor | 0.1.0-lp153.2.13 | Monthly Iowa Liquor Sales Summary |
| R-IALS | 0.1.3-lp153.1.4 | Iterative Alternating Least Square Estimation for Large-Dime |
| R-IalsaSynthesis | 0.1.6-lp153.2.13 | Synthesizing Information Across Collaborating Research |
| R-iapws | 1.1-lp153.1.7 | Formulations of the International Association for the Proper |
| R-IAPWS95 | 1.2.4-lp153.1.5 | Thermophysical Properties of Water and Steam |
| R-IASD | 1.1.1-lp153.1.5 | Model Selection for Index of Asymmetry Distribution |
| R-IAT | 0.3-lp153.16.7 | Cleaning and Visualizing Implicit Association Test (IAT) Dat |
| R-ibb | 0.0.2-lp153.12.7 | R Wrapper for Istanbul Municipality Open Data Portal |
| R-IBCF.MTME | 1.6.0-lp153.15.2 | Item Based Collaborative Filtering for Multi-Trait and Multi |
| R-IBDhaploRtools | 1.8-lp153.2.13 | Functions for the Analysis of IBD Haplo Output |
| R-IBDLabels | 1.1-lp153.2.13 | Convert Between Different IBD-State Labelling Schemes |
| R-IBDsim | 0.9.8-lp153.6.5 | Simulation of Chromosomal Regions Shared by Family Members |
| R-ibelief | 1.3-lp153.2.13 | Belief Function Implementation |
| R-IBFS | 1.0.0-lp153.1.7 | Initial Basic Feasible Solution for Transportation Problem |
| R-ibmAcousticR | 0.2.1-lp153.2.12 | Connect to Your \'IBM Acoustic\' Data |
| R-ibmdbR | 1.51.0-lp153.1.4 | IBM in-Database Analytics for R |
| R-ibmsunburst | 0.1.4-lp153.3.2 | Generate Personality Insights Sunburst Diagrams |
| R-Iboot | 0.1.1-lp153.2.13 | Iboot: iterated bootstrap tests and confidence sets. |
| R-ibr | 2.0.4-lp153.1.5 | Iterative Bias Reduction |
| R-iBreakDown | 2.1.2-lp153.1.4 | Model Agnostic Instance Level Variable Attributions |
| R-IBrokers | 0.10.2-lp153.1.7 | R API to Interactive Brokers Trader Workstation |
| R-IBRtools | 0.1.3-lp153.2.2 | Integrating Biomarker-Based Assessments and Radarchart Creat |
| R-ic.infer | 1.1.7-lp153.1.5 | Inequality Constrained Inference in Linear Normal Situations |
| R-IC2 | 1.0.1-lp153.2.13 | Inequality and Concentration Indices and Curves |
| R-ic50 | 1.4.2-lp153.2.13 | Standardized high-throughput evaluation of cell-based compou |
| R-ica | 1.0.3-lp153.1.8 | Independent Component Analysis |
| R-ICAFF | 1.0.1-lp153.2.13 | Imperialist Competitive Algorithm |
| R-iCAMP | 1.5.12-lp153.11.2 | Infer Community Assembly Mechanisms by Phylogenetic-Bin-Base |
| R-icapca | 1.1-lp153.2.13 | Mixed ICA/PCA |
| R-icarus | 0.3.2-lp153.1.5 | Calibrates and Reweights Units in Samples |
| R-ICBayes | 1.2-lp153.2.13 | Bayesian Semiparametric Models for Interval-Censored Data |
| R-ICBioMark | 0.1.4-lp153.10.2 | Data-Driven Design of Targeted Gene Panels for Estimating Im |
| R-ICC | 2.4.0-lp153.1.9 | Facilitating Estimation of the Intraclass Correlation Coeffi |
| R-ICC.Sample.Size | 1.0-lp153.2.13 | Calculation of Sample Size and Power for ICC |
| R-ICCbin | 1.1.1-lp153.2.13 | Facilitates Clustered Binary Data Generation, and Estimation |
| R-iccde | 0.3.6-lp153.1.2 | Computation of the Double-Entry Intraclass Correlation |
| R-ICcforest | 0.5.1-lp153.10.2 | An Ensemble Method for Interval-Censored Survival Data |
| R-iccTraj | 1.0.4-lp153.1.4 | Estimates the Intraclass Correlation Coefficient for Traject |
| R-icd.data | 1.0-lp153.2.13 | International Classifcation of Diseases (ICD) Data |
| R-ICD10gm | 1.2.5-lp153.2.2 | Metadata Processing for the German Modification of the ICD-1 |
| R-icdGLM | 1.0.0-lp153.2.13 | EM by the Method of Weights for Incomplete Categorical Data |
| R-icdpicr | 1.0.1-lp153.4.2 | \'ICD\' Programs for Injury Categorization in R |
| R-ICE | 0.69-lp153.2.13 | Iterated Conditional Expectation |
| R-ICEbox | 1.1.5-lp153.1.8 | Individual Conditional Expectation Plot Toolbox |
| R-icecream | 0.2.2-lp153.1.4 | Print Debugging Made Sweeter |
| R-ICED | 0.0.1-lp153.6.2 | IntraClass Effect Decomposition |
| R-ICEinfer | 1.3-lp153.2.13 | Incremental Cost-Effectiveness Inference using Two Unbiased |
| R-icemelt | 1.0-lp153.2.13 | Parameter Estimation in Linear Transformation Model with Int |
| R-icesAdvice | 2.1.1-lp153.1.11 | Functions Related to ICES Advice |
| R-IceSat2R | 1.0.4-lp153.12.3 | ICESat-2 Altimeter Data using R |
| R-icesDatras | 1.4.1-lp153.1.5 | DATRAS Trawl Survey Database Web Services |
| R-icesSAG | 1.4.1-lp153.2.4 | Stock Assessment Graphs Database Web Services |
| R-icesVocab | 1.2.0-lp153.2.4 | ICES Vocabularies Database Web Services |
| R-ICGE | 0.4.2-lp153.1.8 | Estimation of Number of Clusters and Identification of Atypi |
| R-ICglm | 0.1.0-lp153.1.11 | Information Criteria for Generalized Linear Regression |
| R-ICGOR | 2.0-lp153.3.12 | Fit Generalized Odds Rate Hazards Model with Interval Censor |
| R-iCiteR | 0.2.1-lp153.2.12 | A Minimal Wrapper Around NIH\'s \'iCite\' API |
| R-iCluster | 2.1.0-lp153.3.12 | Integrative clustering of multiple genomic data types |
| R-icmm | 1.2-lp153.1.12 | Empirical Bayes Variable Selection via ICM/M Algorithm |
| R-ICODS | 1.1-lp153.1.9 | Data Analysis for ODS and Case-Cohort Designs with Interval- |
| R-ICON | 0.4.0-lp153.7.12 | Provides Easy Access to Complex Systems Datasets |
| R-iconr | 0.1.0-lp153.6.5 | Graphical and Spatial Analysis for Prehistoric Iconography |
| R-icpsrdata | 0.6.1-lp153.2.4 | Reproducible Data Retrieval from the ICPSR Archive |
| R-icrf | 2.0.2-lp153.1.7 | Interval Censored Recursive Forests |
| R-ICS | 1.2.5-lp155.1.5 | Tools for Exploring Multivariate Data via ICS/ICA |
| R-ICS | 1.2.5-1.39 | Tools for Exploring Multivariate Data via ICS/ICA |
| R-ICS | 1.2.5-lp154.1.10 | Tools for Exploring Multivariate Data via ICS/ICA |
| R-ICS | 1.2.5-lp153.1.24 | Tools for Exploring Multivariate Data via ICS/ICA |
| R-ICS | 1.4.1-lp153.3.2 | Tools for Exploring Multivariate Data via ICS/ICA |
| R-ICS | 1.2.5-1.27 | Tools for Exploring Multivariate Data via ICS/ICA |
| R-ICSNP | 1.1.0-lp153.1.23 | Tools for Multivariate Nonparametrics |
| R-ICSNP | 1.1.2-lp153.3.2 | Tools for Multivariate Nonparametrics |
| R-ICSNP | 1.1.0-lp155.1.5 | Tools for Multivariate Nonparametrics |
| R-ICSNP | 1.1.0-lp154.1.10 | Tools for Multivariate Nonparametrics |
| R-ICSNP | 1.1.0-1.28 | Tools for Multivariate Nonparametrics |
| R-ICSNP | 1.1.0-1.39 | Tools for Multivariate Nonparametrics |
| R-ICSOutlier | 0.4.0-lp153.3.2 | Outlier Detection Using Invariant Coordinate Selection |
| R-ICSS | 1.1-lp153.1.13 | ICSS Algorithm by Inclan/Tiao (1994) |
| R-ICSShiny | 0.5-lp153.17.2 | ICS via a Shiny Application |
| R-ICSsmoothing | 1.2.8-lp153.1.4 | Data Smoothing by Interpolating Cubic Splines |
| R-ICsurv | 1.0.1-lp153.1.9 | Semiparametric Regression Analysis of Interval-Censored Data |
| R-icsw | 1.0.0-lp153.2.13 | Inverse Compliance Score Weighting |
| R-ICV | 1.0-lp153.2.13 | Indirect Cross-Validation (ICV) for Kernel Density Estimatio |
| R-idarps | 0.0.4-lp153.2.2 | Datasets and Functions for the Class \"Modelling and Data An |
| R-idbg | 1.0-lp153.2.13 | R debugger |
| R-IDCard | 0.3.0-lp153.7.2 | Update Chinese ID Card Number to Eighteen Digits |
| R-idcnrba | 1.1.0-lp153.4.2 | Interactive Application for Analyzing Representativeness and |
| R-IDConverter | 0.3.4-lp153.1.5 | Convert Identifiers in Biological Databases |
| R-IDEAFilter | 0.2.0-lp153.2.2 | Agnostic, Idiomatic Data Filter Module for Shiny |
| R-ideamdb | 0.0.9-lp153.17.2 | Easy Manipulation of IDEAM\'s Climatological Data |
| R-identity | 0.2.1-lp153.2.13 | Jacquard Condensed Coefficients of Identity |
| R-ider | 0.1.1-lp153.1.7 | Various Methods for Estimating Intrinsic Dimension |
| R-IDetect | 0.1.0-lp153.2.13 | Isolate-Detect Methodology for Multiple Change-Point Detecti |
| R-IDF | 2.1.2-lp153.2.7 | Estimation and Plotting of IDF Curves |
| R-iDINGO | 1.0.4-lp153.21.2 | Integrative Differential Network Analysis in Genomics |
| R-idiogramFISH | 2.0.13-lp153.2.2 | Shiny App. Idiograms with Marks and Karyotype Indices |
| R-idm | 1.8.3-lp153.6.7 | Incremental Decomposition Methods |
| R-idmact | 1.0.1-lp153.1.5 | Interpreting Differences Between Mean ACT Scores |
| R-idmc | 0.3.0-lp153.2.2 | Load and Wrangle IDMC Displacement Data |
| R-IDmining | 1.0.7-lp153.1.13 | Intrinsic Dimension for Data Mining |
| R-idmodelr | 0.4.0-lp153.7.2 | Infectious Disease Model Library and Utilities |
| R-idmTPreg | 1.1-lp153.2.13 | Regression Model for Progressive Illness Death Data |
| R-iDOS | 1.0.1-lp153.2.2 | Integrated Discovery of Oncogenic Signatures |
| R-IDPmisc | 1.1.21-lp153.1.4 | \'Utilities of Institute of Data Analyses and Process Design |
| R-IDPSurvival | 1.2-lp153.2.13 | Imprecise Dirichlet Process for Survival Analysis |
| R-idr | 1.3-lp153.1.9 | Irreproducible Discovery Rate |
| R-ids | 1.0.1-lp153.2.13 | Generate Random Identifiers |
| R-IDSA | 2.1-lp153.23.2 | An Interactive Detector for Spatial Associations |
| R-IDSL.CSA | 1.2-lp153.2.4 | Composite Spectra Analysis (CSA) for High-Resolution Mass Sp |
| R-IDSL.FSA | 1.2-lp153.1.5 | Fragmentation Spectra Analysis (FSA) |
| R-IDSL.IPA | 2.9-lp153.2.4 | Intrinsic Peak Analysis (IPA) for HRMS Data |
| R-IDSL.MXP | 2.0-lp153.1.4 | Parser for mzML, mzXML, and netCDF Files (Mass Spectrometry |
| R-IDSL.NPA | 1.2-lp153.2.4 | Nominal Peak Analysis (NPA) |
| R-IDSL.SUFA | 1.3-lp153.1.5 | Simplified UFA |
| R-IDSL.UFA | 2.0-lp153.2.4 | United Formula Annotation (UFA) for HRMS Data Processing |
| R-IDSL.UFAx | 1.9.1-lp153.2.4 | Exhaustive Chemical Enumeration for United Formula Annotatio |
| R-idx2r | 1.0.0-lp153.2.13 | Convert Files to and from IDX Format to Vectors, Matrices an |
| R-iDynoR | 1.0-lp153.3.12 | R Analysis package for iDynoMiCS Simulation Results |
| R-ie2misc | 0.9.1-lp153.3.2 | Irucka Embry\'s Miscellaneous USGS Functions |
| R-ie2miscdata | 1.0.4-lp153.1.5 | Irucka Embry\'s Miscellaneous USGS Data Collection |
| R-iemisctext | 1.0.1-lp153.2.2 | Irucka Embry\'s Miscellaneous Text Collection |
| R-IETD | 1.0.0-lp153.21.7 | Inter-Event Time Definition |
| R-ifa | 7.0-lp153.2.13 | Independent Factor Analysis |
| R-IFAA | 1.0.6-lp153.1.10 | Robust Inference for Absolute Abundance in Microbiome Analys |
| R-iFad | 3.0-lp153.3.12 | An integrative factor analysis model for drug-pathway associ |
| R-ifaTools | 0.23-lp153.8.2 | Toolkit for Item Factor Analysis with \'OpenMx\' |
| R-ifCNVR | 0.1.0-lp153.14.2 | Isolation-Forest Based \'CNV\' Detection from \'NGS\' Data |
| R-ifctools | 0.3.6-lp153.1.5 | Italian Fiscal Code (\'Codice Fiscale\') Utilities |
| R-IFMCDM | 0.1.17-lp153.1.5 | Intuitionistic Fuzzy Multi-Criteria Decision Making Methods |
| R-ifo | 0.1.0-lp153.1.2 | Client for the Ifo Institute Time Series |
| R-IFP | 0.2.4-lp153.30.2 | Identifying Functional Polymorphisms |
| R-ifpd | 0.1.0-lp153.1.4 | Indonesia Food Prices Data |
| R-ifs | 0.1.10-lp153.2.7 | Iterated Function Systems |
| R-ifultools | 2.0.26-lp153.2.7 | Insightful Research Tools |
| R-ifultools-devel | 2.0.26-lp153.2.7 | Development files for ifultools |
| R-ig.vancouver.2014.topcolour | 0.1.2.0-lp153.2.13 | Instagram 2014 Vancouver Top Colour Dataset |
| R-IgAScores | 0.1.2-lp153.2.13 | Score Taxon-Level IgA Binding in IgA-Seq Experiments |
| R-igate | 0.3.3-lp153.32.2 | Guided Analytics for Testing Manufacturing Parameters |
| R-IGCities | 0.2.0-lp153.1.7 | Simulate Impact of Different Urban Policies Through a Genera |
| R-IGG | 1.0-lp153.3.11 | Inverse Gamma-Gamma |
| R-igoR | 0.2.0-lp153.1.4 | Intergovernmental Organizations Database |
| R-IGP | 0.2.1-lp153.1.7 | Interchangeable Gaussian Process Models |
| R-igraph | 1.2.2-lp155.1.5 | Network analysis and visualization |
| R-igraph | 1.2.2-1.35 | Network analysis and visualization |
| R-igraph | 1.2.2-1.41 | Network analysis and visualization |
| R-igraph | 1.2.2-lp154.1.10 | Network analysis and visualization |
| R-igraph | 1.2.2-lp153.1.25 | Network analysis and visualization |
| R-igraphdata | 1.0.1-lp153.2.13 | A Collection of Network Data Sets for the \'igraph\' Package |
| R-igraphinshiny | 0.1-lp153.17.2 | Use \'shiny\' to Demo \'igraph\' |
| R-igraphtosonia | 1.0-lp153.7.4 | Convert iGraph graps to SoNIA .son files |
| R-igraphwalshdata | 0.1.0-lp153.1.2 | \'igraph\' Datasets from Melanie Walsh |
| R-igrf | 1.0-lp153.1.11 | International Geomagnetic Reference Field |
| R-iGSEA | 1.2-lp153.2.13 | Integrative Gene Set Enrichment Analysis Approaches |
| R-IGST | 0.1.0-lp153.3.13 | Informative Gene Selection Tool |
| R-iheatmapr | 0.7.1-lp153.4.2 | Interactive, Complex Heatmaps |
| R-iheiddown | 0.8.2-lp153.5.12 | For Writing Graduate Institute Geneva Documents |
| R-ihpdr | 1.2.1-lp153.21.4 | Download Data from the International House Price Database |
| R-iIneq | 1.0.2-lp153.1.12 | Computing Individual Components of the Gini and the Theil In |
| R-IIProductionUnknown | 0.0.3-lp153.1.7 | Analyzing Data Through of Percentage of Importance Indice (P |
| R-IIVpredictor | 0.1.0-lp153.5.2 | Modeling Within Individual Variability as Predictor |
| R-ilc | 1.0-lp153.16.11 | Lee-Carter Mortality Models using Iterative Fitting Algorith |
| R-ILS | 0.3-lp153.3.4 | Interlaboratory Study |
| R-IM | 1.0-lp153.2.13 | Orthogonal Moment Analysis |
| R-imabc | 1.0.0-lp153.2.7 | Incremental Mixture Approximate Bayesian Computation (IMABC) |
| R-imagefx | 0.4.1-lp153.2.13 | Extract Features from Images |
| R-imager | 0.41.1-1.25 | Image Processing Library Based on \'CImg\' |
| R-imager | 0.41.1-lp153.1.23 | Image Processing Library Based on \'CImg\' |
| R-imageseg | 0.5.0-lp153.5.7 | Deep Learning Models for Image Segmentation |
| R-imageviewer | 0.1.0-lp153.15.2 | Simple \'htmlwidgets\' Image Viewer with WebGL Brightness/Co |
| R-IMak | 2.1.0-lp153.1.9 | Item Maker |
| R-Imap | 1.32-lp153.2.13 | Interactive Mapping |
| R-ImCluster | 0.1.0-lp153.1.4 | Efficiency of Cluster Sampling for Crop Surveys |
| R-IMD | 1.2.2-lp153.8.2 | Index of Multiple Deprivation Data for the UK |
| R-imdbapi | 0.1.0-lp153.17.2 | Get Movie, Television Data from the \'imdb\' Database |
| R-IMFData | 0.2.0-lp153.3.12 | R Interface for International Monetary Fund(IMF) Data API |
| R-imfr | 0.1.9.1-lp153.9.11 | Download Data from the International Monetary Fund\'s Data A |
| R-imguR | 1.0.3-lp153.3.12 | An Imgur.com API Client Package |
| R-ImHD | 0.1.0-lp153.2.2 | Artificial Intelligence Based Machine Learning Algorithms fo |
| R-IMIS | 0.1-lp153.2.13 | Increamental Mixture Importance Sampling |
| R-IMIX | 1.1.5-lp153.14.2 | Gaussian Mixture Model for Multi-Omics Data Integration |
| R-iml | 0.11.3-lp153.2.2 | Interpretable Machine Learning |
| R-IMmailgun | 0.1.2-lp153.2.12 | Send Emails using \'Mailgun\' |
| R-ImNN | 0.1.0-lp153.1.5 | Neural Networks for Predicting Volume of Forest Trees |
| R-imola | 0.5.0-lp153.9.2 | CSS Layouts (Grid and Flexbox) Implementation for R/Shiny |
| R-IMP | 1.1-lp153.22.2 | Interactive Model Performance Evaluation |
| R-IMPACT | 0.1.1-lp153.2.13 | The Impact of Items |
| R-ImpactIV | 1.0-lp153.2.13 | Identifying Causal Effect for Multi-Component Intervention U |
| R-impimp | 0.3.1-lp153.2.13 | Imprecise Imputation for Statistical Matching |
| R-implicitExpansion | 0.1.0-lp153.1.8 | Array Operations for Arrays of Mismatching Sizes |
| R-implicitMeasures | 0.2.1-lp153.9.2 | Compute Scores for Different Implicit Measures |
| R-implied | 0.5-lp153.1.5 | Convert Between Bookmaker Odds and Probabilities |
| R-implyr | 0.5.0-lp153.1.4 | R Interface for Apache Impala |
| R-import | 1.3.2-lp153.1.4 | An Import Mechanism for R |
| R-ImportanceIndice | 0.0.2-lp153.1.8 | Analyzing Data Through of Percentage of Importance Indice an |
| R-importar | 0.1.1-lp153.2.13 | Enables Importing/Loading of Packages or Functions While Cre |
| R-ImportExport | 1.3-lp153.6.2 | Import and Export Data |
| R-imprecise101 | 0.2.2.4-lp153.3.2 | Introduction to Imprecise Probabilities |
| R-impressionist.colors | 1.0-lp153.2.13 | Impressionism\'s Color Palettes |
| R-imprinting | 0.1.1-lp153.5.2 | Calculate Birth Year-Specific Probabilities of Immune Imprin |
| R-ImpShrinkage | 1.0.0-lp153.1.5 | Improved Shrinkage Estimations for Multiple Linear Regressio |
| R-imputeFin | 0.1.2-lp153.1.13 | Imputation of Financial Time Series with Missing Values and/ |
| R-imputeGeneric | 0.1.0-lp153.9.2 | Ease the Implementation of Imputation Methods |
| R-ImputeLongiCovs | 0.1.0-lp153.1.5 | Longitudinal Imputation of Categorical Variables via a Joint |
| R-imputeMDR | 1.1.2-lp153.2.13 | The Multifactor Dimensionality Reduction (MDR) Analysis for |
| R-imputePSF | 0.1.0-lp153.10.11 | Impute Missing Data in Time Series Data with PSF Based Metho |
| R-imputeR | 2.2-lp153.7.2 | A General Multivariate Imputation Framework |
| R-imputeREE | 0.0.5-lp153.3.2 | Impute Missing Rare Earth Element Data in Zircon |
| R-imputeYn | 1.3-lp153.4.11 | Imputing the Last Largest Censored Observation(s) Under Weig |
| R-imsig | 1.1.3-lp153.9.4 | Immune Cell Gene Signatures for Profiling the Microenvironme |
| R-in2extRemes | 1.0.3-lp153.3.7 | Into the extRemes Package |
| R-inaparc | 1.2.0-lp153.2.7 | Initialization Algorithms for Partitioning Cluster Analysis |
| R-inbreedR | 0.3.3-lp153.1.11 | Analysing Inbreeding Based on Genetic Markers |
| R-incadata | 0.9.1-lp153.6.13 | Recognize and Handle Data in Formats Used by Swedish Cancer |
| R-incase | 0.3.2-lp153.1.5 | Pipe-Friendly Vector Replacement with Case Statements |
| R-incidence | 1.7.5-lp153.2.2 | Compute, Handle, Plot and Model Incidence of Dated Events |
| R-incidental | 0.1-lp153.14.5 | Implements Empirical Bayes Incidence Curves |
| R-incidentally | 1.0.2-lp153.5.4 | Generates Incidence Matrices and Bipartite Graphs |
| R-IncomPair | 0.1.0-lp153.2.13 | Comparison of Means for the Incomplete Paired Data |
| R-incR | 2.1.0-lp153.1.5 | Analysis of Incubation Data |
| R-inctools | 1.0.15-lp153.17.7 | Incidence Estimation Tools |
| R-IndependenceTests | 0.5-lp153.2.13 | Non-Parametric Tests of Independence Between Random Vectors |
| R-independenceWeights | 0.0.1-lp153.2.7 | Estimates Weights for Confounding Control for Continuous-Val |
| R-IndepTest | 0.2.0-lp153.4.13 | Nonparametric Independence Tests Based on Entropy Estimation |
| R-index0 | 0.0.1-lp153.1.11 | Zero-Based Indexing in R |
| R-IndexConstruction | 0.1.3-lp153.8.7 | Index Construction for Time Series Data |
| R-IndexNumber | 1.3.2-lp153.1.13 | Index Numbers in Social Sciences |
| R-IndexNumR | 0.6.0-lp153.1.4 | Index Number Calculation |
| R-IndexWizard | 0.2.1.0-lp153.1.5 | Constructing and Analyzing Complex Selection Indices |
| R-IndGenErrors | 0.1.4-lp153.1.5 | Tests of Independence Between Innovations of Generalized Err |
| R-india | 0.1-lp153.1.4 | Influence Diagnostics in Statistical Models |
| R-IndianTaxCalc | 1.0.2-lp153.2.13 | Indian Income Tax Calculator |
| R-indiedown | 0.1.1-lp153.14.2 | Individual R Markdown Templates |
| R-indirect | 0.2.1-lp153.1.11 | Elicitation of Independent Conditional Means Priors for Gene |
| R-IndTestPP | 3.0-lp153.2.13 | Tests of Independence and Analysis of Dependence Between Poi |
| R-inegiR | 3.0.0-lp153.18.5 | Integrate INEGI’s (Mexican Stats Office) API with R |
| R-ineptR | 0.2.1-lp153.1.5 | Wrapper for Statistics Portugal API |
| R-ineq | 0.2.13-lp153.2.13 | Measuring Inequality, Concentration, and Poverty |
| R-ineq.2d | 0.1.0-lp153.1.5 | Two-Dimensional Decomposition of the Theil Index and the Squ |
| R-ineqJD | 1.0-lp153.2.13 | Inequality Joint Decomposition |
| R-inet | 0.1.0-lp153.2.7 | Performing Inference on Networks with Regularization |
| R-InfDim | 1.0-lp153.2.13 | Infine-dimensional model (IDM) to analyse phenotypic variati |
| R-inference | 0.1.0-lp153.2.13 | Functions to extract inferential values of a fitted model ob |
| R-InferenceSMR | 1.0.2-lp153.1.4 | Inference About the Standardized Mortality Ratio when Evalua |
| R-InfiniumPurify | 1.3.1-lp153.2.13 | Estimate and Account for Tumor Purity in Cancer Methylation |
| R-infix | 0.1.0-lp153.2.13 | Basic Infix Binary Operators |
| R-Inflation | 0.1.0-lp153.2.13 | Core Inflation |
| R-Inflect | 1.1.0-lp153.1.5 | Melt Curve Fitting and Melt Shift Analysis |
| R-inflection | 1.3.6-lp153.1.9 | Finds the Inflection Point of a Curve |
| R-influence.SEM | 2.3-lp153.3.7 | Case Influence in Structural Equation Models |
| R-influenceAUC | 0.1.2-lp153.18.7 | Identify Influential Observations in Binary Classification |
| R-influenceR | 0.1.5-lp153.4.4 | Software Tools to Quantify Structural Importance of Nodes in |
| R-influential | 2.2.9-lp153.2.4 | Identification and Classification of the Most Influential No |
| R-influxdbclient | 0.1.2-lp153.2.7 | \'InfluxDB\' 2.x Client |
| R-influxdbr | 0.14.2-lp153.18.2 | R Interface to InfluxDB |
| R-infoDecompuTE | 0.6.2-lp153.2.13 | Information Decomposition of Two-Phase Experiments |
| R-infoelectoral | 1.0.2-lp153.1.2 | Download Spanish Election Results |
| R-Information | 0.0.9-lp153.14.7 | Data Exploration with Information Theory (Weight-of-Evidence |
| R-InformationValue | 1.2.3-lp153.13.7 | Performance Analysis and Companion Functions for Binary Clas |
| R-InformativeCensoring | 0.3.6-lp153.1.5 | Multiple Imputation for Informative Censoring |
| R-informedSen | 1.0.7-lp153.1.12 | Sensitivity Analysis Informed by a Test for Bias |
| R-informR | 1.0.5-lp153.7.11 | Sequence Statistics for Relational Event Models |
| R-infotheo | 1.2.0.1-lp153.1.10 | Information-Theoretic Measures |
| R-infra | 0.1.2-lp153.2.13 | An Infrastructure Proxy Function |
| R-infraFDTD.assist | 0.6-lp153.11.5 | IO Help for infraFDTD Model |
| R-infutil | 1.0-lp153.4.11 | Information Utility |
| R-ingredients | 2.3.0-lp153.1.7 | Effects and Importances of Model Ingredients |
| R-ini | 0.3.1-lp154.2.10 | Read and Write \'.ini\' Files |
| R-ini | 0.3.1-lp153.2.13 | Read and Write \'.ini\' Files |
| R-ini | 0.3.1-2.28 | Read and Write \'.ini\' Files |
| R-ini | 0.3.1-lp153.2.25 | Read and Write \'.ini\' Files |
| R-ini | 0.3.1-2.28 | Read and Write \'.ini\' Files |
| R-ini | 0.3.1-lp155.2.5 | Read and Write \'.ini\' Files |
| R-injectoR | 0.2.4-lp153.2.13 | R Dependency Injection |
| R-InjurySeverityScore | 0.0.0.2-lp153.15.2 | Translate ICD-9 into Injury Severity Score |
| R-injurytools | 1.0.3-lp153.1.2 | A Toolkit for Sports Injury Data Analysis |
| R-INLAMSM | 0.2.3-lp153.1.12 | Multivariate Spatial Models with \'INLA\' |
| R-INLAspacetime | 0.1.8-lp153.2.2 | Spatial and Spatio-Temporal Models using \'INLA\' |
| R-inlcolor | 1.0.6-lp153.1.4 | Color Schemes for the USGS Idaho National Laboratory Project |
| R-inldata | 1.2.3-lp153.2.2 | Collection of Datasets for the USGS-INL Monitoring Networks |
| R-inline | 0.3.19-lp153.1.12 | Functions to Inline C, C++, Fortran Function Calls from R |
| R-inline | 0.3.15-lp153.1.26 | Functions to Inline C, C++, Fortran Function Calls from R |
| R-inline | 0.3.15-lp155.1.5 | Functions to Inline C, C++, Fortran Function Calls from R |
| R-inline | 0.3.15-1.28 | Functions to Inline C, C++, Fortran Function Calls from R |
| R-inline | 0.3.15-lp154.1.10 | Functions to Inline C, C++, Fortran Function Calls from R |
| R-inline | 0.3.15-1.28 | Functions to Inline C, C++, Fortran Function Calls from R |
| R-inlinedocs | 2023.9.4-lp153.1.5 | Convert Inline Comments to Documentation |
| R-inlmisc | 0.5.5-lp153.6.7 | Miscellaneous Functions for the USGS INL Project Office |
| R-innsight | 0.3.0-lp153.1.4 | Get the Insights of Your Neural Network |
| R-ino | 1.0.2-lp153.1.5 | Initialization of Numerical Optimization |
| R-inops | 0.0.1-lp153.2.13 | Infix Operators for Detection, Subsetting and Replacement |
| R-InPosition | 0.12.7.1-lp153.2.13 | Inference Tests for ExPosition |
| R-INQC | 2.0.5-lp153.5.7 | Quality Control of Climatological Daily Time Series |
| R-Inquilab | 0.1.0-lp153.2.2 | Dissipation Kinetics Analysis, Half Life Period, Rate Consta |
| R-insect | 1.4.2-lp153.5.4 | Informatic Sequence Classification Trees |
| R-insectDisease | 1.2.2-lp153.11.3 | Ecological Database of the World\'s Insect Pathogens |
| R-insideRODE | 2.0-lp153.2.13 | insideRODE includes buildin functions with deSolve solver an |
| R-insideRODE-devel | 2.0-lp153.2.13 | Development files for insideRODE |
| R-insiderTrades | 0.0.1-lp153.2.10 | Tools to Download Insider Transactions and Holdings |
| R-insol | 1.2.2-lp153.4.7 | Solar Radiation |
| R-InspectChangepoint | 1.2-lp153.1.9 | High-Dimensional Changepoint Estimation via Sparse Projectio |
| R-inspector | 1.0.3-lp153.1.12 | Validation of Arguments and Objects in User-Defined Function |
| R-instagramadsR | 0.1.0-lp153.1.8 | Access to Instagram Ads via the \'Windsor.ai\' API |
| R-install.load | 1.2.5-lp153.1.5 | Check, Install and Load CRAN Packages |
| R-installr | 0.23.4-lp153.4.2 | Using R to Install Stuff on Windows OS (Such As: R, \'Rtools |
| R-instaR | 0.2.4-lp153.2.12 | Access to Instagram API via R |
| R-insuranceData | 1.0-lp153.2.13 | A Collection of Insurance Datasets Useful in Risk Classifica |
| R-InsuSensCalc | 0.0.1-lp153.2.2 | Insulin Sensitivity Indices Calculator |
| R-intamapInteractive | 1.1.13-lp153.2.13 | Interactive Add-on Functionality for \'intamap\' |
| R-IntCal | 0.3.1-lp153.1.8 | Radiocarbon Calibration Curves |
| R-intccr | 3.0.4-lp153.1.7 | Semiparametric Competing Risks Regression under Interval Cen |
| R-IntegrateBs | 0.1.0-lp153.2.13 | Integration for B-Spline |
| R-intendo | 0.1.1-lp153.2.2 | A Group of Fun Datasets of Various Sizes and Differing Level |
| R-intensegRid | 0.1.2-lp153.6.2 | R Wrapper for the Carbon Intensity API |
| R-intensity.analysis | 0.1.6-lp153.14.7 | Intensity of Change for Comparing Categorical Maps from Sequ |
| R-interacCircos | 1.0.0-lp153.2.12 | The Visualization of Interactive Circos Plot |
| R-Interact | 1.1-lp153.2.13 | Tests for marginal interactions in a 2 class response model |
| R-interactionTest | 1.2-lp153.2.13 | Calculates Critical Test Statistics to Control False Discove |
| R-InteractiveIGraph | 1.0.6.1-lp153.2.13 | interactive network analysis and visualization. |
| R-Interatrix | 1.1.4-lp153.1.4 | Compute Chi-Square Measures with Corrections |
| R-interferenceCI | 1.1-lp153.2.13 | Exact Confidence Intervals in the Presence of Interference |
| R-interfr | 0.1.0-lp153.3.9 | Interference Color Charts for Polarized Light Microscopy |
| R-intergraph | 2.0.4-lp153.2.4 | Coercion Routines for Network Data Objects |
| R-interim | 0.8.0-lp153.2.13 | Scheduling Interim Analyses in Clinical Trials |
| R-interimApp | 0.0.1-lp153.13.2 | App for Scheduling Interim Analyses in Clinical Trials |
| R-interlineaR | 1.0-lp153.7.2 | Importing Interlinearized Corpora and Dictionaries as Produc |
| R-interplex | 0.1.2-lp153.1.4 | Coercion Methods for Simplicial Complex Data Structures |
| R-Interpol | 1.3.1-lp153.2.13 | Interpolation of amino acid sequences |
| R-Interpol.T | 2.1.1-lp153.2.13 | Hourly interpolation of multiple temperature daily series |
| R-interpret | 0.1.33-lp153.1.7 | Fit Interpretable Machine Learning Models |
| R-InterpretMSSpectrum | 1.4.5-lp153.1.4 | Interpreting High Resolution Mass Spectra |
| R-interpretR | 0.2.5-lp153.1.5 | Binary Classifier and Regression Model Interpretation Functi |
| R-inters | 0.2.0-lp153.4.2 | Flexible Tools for Estimating Interactions |
| R-InterVA4 | 1.7.6-lp153.2.13 | Replicate and Analyse \'InterVA4\' |
| R-InterVA5 | 1.1.3-lp153.8.4 | Replicate and Analyse \'InterVA5\' |
| R-IntervalQuestionStat | 0.2.0-lp153.1.7 | Tools to Deal with Interval-Valued Responses in Questionnair |
| R-intervcomp | 0.1.2-lp153.2.13 | Hypothesis Testing Using the Overlapping Interval Estimates |
| R-interventionalDBN | 1.2.2-lp153.2.13 | Interventional Inference for Dynamic Bayesian Networks |
| R-IntLik | 1.0-lp153.3.12 | Numerical Integration for Integrated Likelihood |
| R-intoo | 0.4.0-lp153.2.13 | Minimal Language-Like Extensions |
| R-inTrees | 1.4-lp153.2.2 | Interpret Tree Ensembles |
| R-intRegGOF | 0.85.5-lp153.2.13 | Integrated Regression Goodness of Fit |
| R-INTRIGUE | 0.1.0-lp153.12.7 | Quantify and Control Reproducibility in High-Throughput Expe |
| R-intrinsicDimension | 1.2.0-lp153.2.13 | Intrinsic Dimension Estimation |
| R-introgress | 1.2.3-lp153.2.13 | methods for analyzing introgression between divergent lineag |
| R-intrval | 0.1.2-lp153.2.13 | Relational Operators for Intervals |
| R-intSDM | 2.0.2-lp153.2.3 | Reproducible Integrated Species Distribution Models Across N |
| R-intsurvbin | 0.0.4-lp153.2.13 | Survival and Binary Data Integration |
| R-intsvy | 2.9-lp153.4.2 | International Assessment Data Manager |
| R-intubate | 1.0.0-lp153.2.13 | Interface to Popular R Functions for Data Science Pipelines |
| R-inum | 1.0.5-lp153.1.5 | Interval and Enum-Type Representation of Vectors |
| R-invacost | 1.1.6-lp153.2.3 | Analyse Biological Invasion Costs with the \'InvaCost\' Data |
| R-InvariantCausalPrediction | 0.8-lp153.4.7 | Invariant Causal Prediction |
| R-InvasionCorrection | 0.1-lp153.2.13 | Invasion Correction |
| R-invctr | 0.2.0-lp153.2.7 | Infix Functions For Vector Operations |
| R-inventorize | 1.1.1-lp153.14.2 | Inventory Analytics, Pricing and Markdowns |
| R-Inventorymodel | 1.1.0.1-lp153.1.5 | Inventory Models |
| R-inverseRegex | 0.1.1-lp153.1.7 | Reverse Engineers Regular Expression Patterns for R Objects |
| R-invertiforms | 0.1.1-lp153.2.7 | Invertible Transforms for Matrices |
| R-investr | 1.4.2-lp153.1.10 | Inverse Estimation/Calibration Functions |
| R-invgamma | 1.1-lp153.1.23 | The Inverse Gamma Distribution |
| R-invgamma | 1.1-1.24 | The Inverse Gamma Distribution |
| R-invgamma | 1.1-lp155.1.5 | The Inverse Gamma Distribution |
| R-invgamma | 1.1-lp154.1.10 | The Inverse Gamma Distribution |
| R-invgamma | 1.1-1.25 | The Inverse Gamma Distribution |
| R-invgamma | 1.1-lp153.2.13 | The Inverse Gamma Distribution |
| R-invLT | 0.2.1-lp153.2.13 | Inversion of Laplace-Transformed Functions |
| R-InvStablePrior | 0.1.1-lp153.2.4 | Inverse Stable Prior for Widely-Used Exponential Models |
| R-iNZightMR | 2.3.0-lp153.1.4 | Tools for Exploring Multiple Response Data |
| R-iNZightPlots | 2.15.3-lp153.6.3 | Graphical Tools for Exploring Data with \'iNZight\' |
| R-iNZightRegression | 1.3.4-lp153.2.2 | Tools for Exploring Regression Models with \'iNZight\' |
| R-iNZightTools | 2.0.1-lp153.3.2 | Tools for \'iNZight\' |
| R-io | 0.3.2-lp153.7.2 | A Unified Framework for Input-Output Operations in R |
| R-ioanalysis | 0.3.4-lp153.10.5 | Input Output Analysis |
| R-ioncopy | 2.2.2-lp153.13.2 | Calling Copy Number Alterations in Amplicon Sequencing Data |
| R-iopspackage | 2.1.0-lp153.3.2 | IO-PS Framework Package |
| R-iopsych | 0.90.1-lp153.2.13 | Methods for Industrial/Organizational Psychology |
| R-iosmooth | 0.94-lp153.2.13 | Functions for Smoothing with Infinite Order Flat-Top Kernels |
| R-iotables | 0.9.3-lp153.4.3 | Reproducible Input-Output Economics Analysis, Economic and E |
| R-iotools | 0.3.5-lp153.1.4 | I/O Tools for Streaming |
| R-IP | 0.1.3-lp153.2.2 | Classes and Methods for \'IP\' Addresses |
| R-ip2location | 8.1.3-lp153.1.5 | Lookup for IP Address Information |
| R-ip2proxy | 1.2.0-lp153.1.7 | Lookup for IP Address Proxy Information |
| R-ipa | 0.1.0-lp153.6.2 | Convert Between Phonetic Alphabets |
| R-ipADMIXTURE | 0.1.0-lp153.18.2 | Iterative Pruning Population Admixture Inference Framework |
| R-ipbase | 0.1.1-lp153.1.5 | Client for the \'ipbase.com\' IP Geolocation API |
| R-ipc | 0.1.4-lp153.4.2 | Tools for Message Passing Between Processes |
| R-IPCAPS | 1.1.8-lp153.2.7 | Iterative Pruning to Capture Population Structure |
| R-IPCWK | 1.0-lp153.2.13 | Kendall\'s Tau Partial Corr. for Survival Trait and Biomarke |
| R-ipcwswitch | 1.0.4-lp153.1.13 | Inverse Probability of Censoring Weights to Deal with Treatm |
| R-IPDFileCheck | 0.7.5-lp153.8.7 | Basic Functions to Check Readability, Consistency, and Conte |
| R-ipdmeta | 2.4-lp153.2.13 | Tools for subgroup analyses with multiple trial data using a |
| R-ipdw | 2.0.0-lp153.7.4 | Spatial Interpolation by Inverse Path Distance Weighting |
| R-ipeadatar | 0.1.6-lp153.12.2 | API Wrapper for \'Ipeadata\' |
| R-IPEC | 1.1.0-lp153.1.4 | Root Mean Square Curvature Calculation |
| R-IPEDS | 0.1.0-lp153.6.2 | Data from the Integrated Post-Secondary Education Data Syste |
| R-iperform | 0.0.3-lp153.1.4 | Time Series Performance |
| R-ipflasso | 1.1-lp153.4.7 | Integrative Lasso with Penalty Factors |
| R-ipfp | 1.0.2-lp153.1.9 | Fast Implementation of the Iterative Proportional Fitting Pr |
| R-ipfr | 1.0.2-lp153.17.2 | List Balancing for Reweighting and Population Synthesis |
| R-ipify | 0.2.0-lp153.1.13 | Query the Ipify Service |
| R-ipkg | 1.1.1-lp153.1.4 | Install R Packages or Download File from GitHub via the Prox |
| R-iplookupapi | 0.1.0-lp153.1.5 | Client for the \'iplookupapi.com\' IP Lookup API |
| R-IPMbook | 0.1.5-lp153.1.5 | Functions and Data for the Book \'Integrated Population Mode |
| R-ipmisc | 6.0.2-lp153.1.12 | Miscellaneous Functions for Data Cleaning and Analysis |
| R-IPMRF | 1.2-lp153.2.12 | Intervention in Prediction Measure (IPM) for Random Forests |
| R-IPPP | 1.1-lp153.2.13 | Inhomogeneous Poisson Point Processes |
| R-ipptoolbox | 1.2-lp153.2.12 | IPP Toolbox |
| R-ipr | 0.1.0-lp153.2.13 | Iterative Proportional Repartition Algorithm |
| R-ipred | 0.9_3-3.32 | Improved Predictors |
| R-ipred | 0.9_3-lp155.3.5 | Improved Predictors |
| R-ipred | 0.9_3-3.38 | Improved Predictors |
| R-ipred | 0.9_3-lp153.3.25 | Improved Predictors |
| R-ipred | 0.9_3-lp154.3.10 | Improved Predictors |
| R-ips | 0.0.12-lp153.2.2 | Interfaces to Phylogenetic Software in R |
| R-ipsfs | 1.0.0-lp153.1.9 | Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity |
| R-ipsRdbs | 1.0.0-lp153.2.2 | Introduction to Probability, Statistics and R for Data-Based |
| R-iptmnetr | 0.1.8-lp153.1.13 | Interface to the \'iPTMnet\' API |
| R-IPV | 1.0.0-lp153.7.2 | Item Pool Visualization |
| R-IPWboxplot | 0.1.2-lp153.1.5 | Adapted Boxplot to Missing Observations |
| R-ipwCoxCSV | 1.0-lp153.2.13 | Inverse Probability Weighted Cox Model with Corrected Sandwi |
| R-ipwErrorY | 2.1-lp153.2.13 | Inverse Probability Weighted Estimation of Average Treatment |
| R-IPWpn | 0.1.0-lp153.8.8 | Inverse-Propensity-Weighting for Partially Nested Designs |
| R-IQCC | 0.7-lp153.2.13 | Improved Quality Control Charts |
| R-iqLearn | 1.5-lp153.2.13 | Interactive Q-Learning |
| R-irace | 3.5-lp153.1.8 | Iterated Racing for Automatic Algorithm Configuration |
| R-iraceplot | 1.3-lp153.2.2 | Plots for Visualizing the Data Produced by the \'irace\' Pac |
| R-iRafNet | 1.1.1-lp153.3.12 | Integrative Random Forest for Gene Regulatory Network Infere |
| R-IRATER | 0.0.1-lp153.2.13 | A R Interface for the Instantaneous RATEs (IRATE) Model |
| R-ircor | 1.0-lp153.2.13 | Correlation Coefficients for Information Retrieval |
| R-IRdisplay | 1.1-lp153.8.2 | \'Jupyter\' Display Machinery |
| R-iRegression | 1.2.1-lp153.2.13 | Regression Methods for Interval-Valued Variables |
| R-iRepro | 1.2-lp153.1.5 | Reproducibility for Interval-Censored Data |
| R-irg | 0.1.6-lp153.3.7 | Instantaneous Rate of Green Up |
| R-IRISMustangMetrics | 2.4.6-lp153.2.2 | Statistics and Metrics for Seismic Data |
| R-IRISSeismic | 1.6.6-lp153.4.2 | Classes and Methods for Seismic Data Analysis |
| R-IRkernel | 1.3.2-lp153.4.2 | Native R Kernel for the \'Jupyter Notebook\' |
| R-irlba | 1.0.3-lp153.1.23 | Fast partial SVD by implicitly-restarted Lanczos bidiagonali |
| R-irlba | 1.0.3-lp154.1.10 | Fast partial SVD by implicitly-restarted Lanczos bidiagonali |
| R-irlba | 1.0.3-1.38 | Fast partial SVD by implicitly-restarted Lanczos bidiagonali |
| R-irlba | 1.0.3-1.25 | Fast partial SVD by implicitly-restarted Lanczos bidiagonali |
| R-irlba | 1.0.3-lp155.1.5 | Fast partial SVD by implicitly-restarted Lanczos bidiagonali |
| R-irlba | 2.3.5.1-lp153.1.12 | Fast Truncated Singular Value Decomposition and Principal Co |
| R-iRoCoDe | 1.0.1-lp153.1.11 | Incomplete Row-Column Designs |
| R-irr | 0.84.1-lp153.2.13 | Various Coefficients of Interrater Reliability and Agreement |
| R-IRR2FPR | 0.1.1-lp153.2.2 | Computing False Positive Rate from Inter-Rater Reliability |
| R-irrCAC | 1.0-lp153.2.13 | Computing Chance-Corrected Agreement Coefficients (CAC) |
| R-irrICC | 1.0-lp153.2.13 | Intraclass Correlations for Quantifying Inter-Rater Reliabil |
| R-irrNA | 0.2.3-lp153.1.10 | Coefficients of Interrater Reliability – Generalized for R |
| R-IRSF | 1.0.3-lp153.5.11 | Interaction Random Survival Forest |
| R-IRTBEMM | 1.0.8-lp153.1.5 | Family of Bayesian EMM Algorithm for Item Response Models |
| R-irtDemo | 0.1.4-lp153.14.2 | Item Response Theory Demo Collection |
| R-irtplay | 1.6.5-lp153.1.8 | Unidimensional Item Response Theory Modeling |
| R-irtProb | 1.2-lp153.2.13 | Utilities and Probability Distributions Related to Multidime |
| R-irtrees | 1.0.0-lp153.16.2 | Estimation of Tree-Based Item Response Models |
| R-isa2 | 0.3.6-lp153.1.7 | The Iterative Signature Algorithm |
| R-isaeditor | 0.1.1-lp153.4.8 | Tools to Manipulate ISA-Tab Files |
| R-ISAR | 0.1.12-lp153.1.5 | Introduction to Sports Analytics using R (ISAR) Data |
| R-ISAT | 1.0.5-lp153.7.2 | Extract Cell Density and Nearest Distance Based on \'PerkinE |
| R-isatabr | 1.0.1-lp153.1.8 | Implementation for the ISA Abstract Model |
| R-ISBF | 0.2.1-lp153.2.13 | Iterative Selection of Blocks of Features - ISBF |
| R-ISCO08ConveRsions | 0.2.0-lp153.1.5 | Converts ISCO-08 to Job Prestige Scores, ISCO-88 and Job Nam |
| R-iscoCrosswalks | 1.0.0-lp153.2.7 | Crosswalks Between Classifications of Occupations |
| R-Iscores | 1.1.0-lp153.2.7 | Proper Scoring Rules for Missing Value Imputation |
| R-isdals | 3.0.1-lp153.1.5 | Datasets for Introduction to Statistical Data Analysis for t |
| R-iSDM | 1.0-lp153.24.5 | Invasive Species Distribution Modelling |
| R-isdparser | 0.4.0-lp153.14.7 | Parse \'NOAA\' Integrated Surface Data Files |
| R-ISEtools | 3.2.0-lp153.1.8 | Ion Selective Electrodes Analysis Methods |
| R-isingLenzMC | 0.2.5-lp153.2.13 | Monte Carlo for Classical Ising Model |
| R-islasso | 1.5.2-lp153.1.4 | The Induced Smoothed Lasso |
| R-ISLR | 1.4-lp153.1.12 | Data for an Introduction to Statistical Learning with Applic |
| R-ISLR2 | 1.3.2-lp153.1.7 | Introduction to Statistical Learning, Second Edition |
| R-ismev | 1.42-lp153.2.13 | An Introduction to Statistical Modeling of Extreme Values |
| R-ismtchile | 2.1.5-lp153.2.2 | Calculating Socio Material Territorial Index |
| R-Iso | 0.0.18-lp153.1.23 | Functions to Perform Isotonic Regression |
| R-Iso | 0.0.18-1.30 | Functions to Perform Isotonic Regression |
| R-Iso | 0.0.18-lp154.1.10 | Functions to Perform Isotonic Regression |
| R-Iso | 0.0.18-lp155.1.5 | Functions to Perform Isotonic Regression |
| R-Iso | 0.0.21-lp153.1.5 | Functions to Perform Isotonic Regression |
| R-Iso | 0.0.18-1.32 | Functions to Perform Isotonic Regression |
| R-ISO11784Tools | 1.1.4-lp153.2.2 | ISO11784 PIT Tag ID Format Converters |
| R-isoband | 0.2.0-1.42 | Generate Isolines and Isobands from Regularly Spaced Elevati |
| R-isoband | 0.2.0-lp153.1.25 | Generate Isolines and Isobands from Regularly Spaced Elevati |
| R-isoband | 0.2.0-1.34 | Generate Isolines and Isobands from Regularly Spaced Elevati |
| R-isoband | 0.2.7-lp153.2.7 | Generate Isolines and Isobands from Regularly Spaced Elevati |
| R-isocalcR | 0.1.1-lp153.1.5 | Isotope Calculations in R |
| R-isocat | 0.3.0-lp153.1.4 | Isotope Origin Clustering and Assignment Tools |
| R-IsoCheck | 0.1.0-lp153.14.7 | Isomorphism Check for Multi-Stage Factorial Designs with Ran |
| R-IsoCI | 1.1-lp153.2.13 | Confidence intervals for current status data based on transf |
| R-isocir | 2.0.7.1-lp153.1.5 | Isotonic Inference for Circular Data |
| R-ISOcodes | 2019.12.22-lp155.1.5 | Selected ISO Codes |
| R-ISOcodes | 2019.12.22-lp154.1.10 | Selected ISO Codes |
| R-ISOcodes | 2019.12.22-lp153.1.25 | Selected ISO Codes |
| R-ISOcodes | 2019.12.22-1.28 | Selected ISO Codes |
| R-ISOcodes | 2019.12.22-1.26 | Selected ISO Codes |
| R-ISOcodes | 2024.02.12-lp153.1.4 | Selected ISO Codes |
| R-IsoCorr | 1.0-lp153.2.20 | Correcting Drift and Carry-over in Continuous Isotopic Measu |
| R-isocountry | 0.2.0-lp153.2.2 | ISO 3166-1 Country Codes |
| R-isogeochem | 1.1.1-lp153.1.5 | Tools for Stable Isotope Geochemistry |
| R-isokernel | 0.1.0-lp153.1.12 | Isolation Kernel |
| R-IsoMemo | 23.10.1-lp153.1.4 | Retrieve Data using the \'IsoMemo\' API |
| R-isopam | 2.0-lp153.1.4 | Clustering of Sites with Species Data |
| R-isopat | 1.0-lp153.2.13 | Calculation of isotopic pattern for a given molecular formul |
| R-isopleuros | 1.2.0-lp153.1.4 | Ternary Plots |
| R-isoreader | 1.3.2-lp153.3.11 | Read Stable Isotope Data Files |
| R-isotone | 1.1.1-lp153.1.7 | Active Set and Generalized PAVA for Isotone Optimization |
| R-isotonic.pen | 1.0-lp153.3.7 | Penalized Isotonic Regression in one and two dimensions |
| R-IsotopeR | 0.5.4-lp153.2.12 | Stable Isotope Mixing Model |
| R-ISOweek | 0.6.2-lp153.7.2 | Week of the year and weekday according to ISO 8601 |
| R-ispdata | 1.1.2-lp153.2.2 | Access Data from the Public Security Institute of the State |
| R-ISR | 2022.4.22-lp153.1.9 | The Iterated Score Regression-Based Estimation Algorithm |
| R-ISRaD | 2.5.5-lp153.4.2 | Tools and Data for the International Soil Radiocarbon Databa |
| R-ISS | 1.0.0-lp153.1.5 | Isotonic Subgroup Selection |
| R-istacr | 0.2.2-lp153.2.7 | Obtaining Open Data from Instituto Canario De Estadistica (I |
| R-italy | 0.1.0-lp153.2.13 | The Italian Survey on Household and Wealth, 2008 and 2010 |
| R-itan | 3.1.1-lp153.6.7 | Item Analysis for Multiple Choice Tests |
| R-itcSegment | 1.0-lp153.2.4 | Individual Tree Crowns Segmentation |
| R-itdr | 2.0.1-lp153.2.2 | Integral Transformation Methods for SDR in Regression |
| R-iTensor | 0.99.0-lp153.1.9 | ICA-Based Matrix/Tensor Decomposition |
| R-iteRates | 3.1-lp153.10.9 | Parametric rate comparison |
| R-IterativeHardThresholding | 1.0.2-lp153.8.2 | Iterative Hard Thresholding Extensions to Cyclops |
| R-iteratoR | 0.1.1-lp153.1.8 | Print Loop Iterations at Exponentially Disparate Intervals |
| R-iterators | 1.0.12-1.24 | Provides Iterator Construct |
| R-iterators | 1.0.12-lp155.1.5 | Provides Iterator Construct |
| R-iterators | 1.0.12-lp154.1.10 | Provides Iterator Construct |
| R-iterators | 1.0.12-1.30 | Provides Iterator Construct |
| R-iterators | 1.0.14-lp153.1.11 | Provides Iterator Construct |
| R-iterators | 1.0.12-lp153.1.27 | Provides Iterator Construct |
| R-iterLap | 1.1.4-lp153.1.5 | Approximate Probability Densities by Iterated Laplace Approx |
| R-iterors | 1.0-lp153.1.5 | Fast, Compact Iterators and Tools |
| R-iterpc | 0.4.2-lp153.3.12 | Efficient Iterator for Permutations and Combinations |
| R-iterpc | 0.4.2-lp155.1.5 | Efficient Iterator for Permutations and Combinations |
| R-iterpc | 0.4.2-lp153.1.23 | Efficient Iterator for Permutations and Combinations |
| R-iterpc | 0.4.2-lp154.1.10 | Efficient Iterator for Permutations and Combinations |
| R-iterpc | 0.4.2-1.24 | Efficient Iterator for Permutations and Combinations |
| R-iterpc | 0.4.2-1.32 | Efficient Iterator for Permutations and Combinations |
| R-itertools | 0.1.3-lp153.2.13 | Iterator Tools |
| R-itertools2 | 0.1.1-lp153.2.13 | itertools2: Functions creating iterators for efficient loopi |
| R-ITGM | 0.41-lp153.4.13 | Individual Tree Growth Modeling |
| R-itol.toolkit | 1.1.7-lp153.5.2 | Helper Functions for \'Interactive Tree Of Life\' |
| R-iTOP | 1.0.2-lp153.2.17 | Inferring the Topology of Omics Data |
| R-ITRLearn | 1.0.1-lp153.2.13 | Statistical Learning for Individualized Treatment Regime |
| R-ITRSelect | 1.0.1-lp153.2.13 | Variable Selection for Optimal Individualized Dynamic Treatm |
| R-its | 1.1.8-1.24 | Irregular Time Series |
| R-its | 1.1.8-1.39 | Irregular Time Series |
| R-its | 1.1.8-lp153.1.23 | Irregular Time Series |
| R-itsadug | 2.4.1-lp153.1.9 | Interpreting Time Series and Autocorrelated Data Using GAMMs |
| R-itsdm | 0.2.1-lp153.4.2 | Isolation Forest-Based Presence-Only Species Distribution Mo |
| R-itsmr | 1.10-lp153.1.8 | Time Series Analysis Using the Innovations Algorithm |
| R-IUPS | 1.0-lp153.2.12 | Incorporating Uncertainties in Propensity Scores |
| R-iva | 0.1.0-lp153.2.13 | Instrumental Variable Analysis in Case-Control Association S |
| R-ivaBSS | 1.0.0-lp153.2.7 | Tools for Independent Vector Analysis |
| R-ivdesc | 1.1.1-lp153.6.2 | Profiling Compliers and Non-Compliers for Instrumental Varia |
| R-ivdesign | 0.1.0-lp153.2.13 | Hypothesis Testing in Cluster-Randomized Encouragement Desig |
| R-ivfixed | 1.0-lp153.2.13 | Instrumental fixed effect panel data model |
| R-ivitr | 0.1.0-lp153.13.7 | Estimate IV-Optimal Individualized Treatment Rules |
| R-ivmodel | 1.9.1-lp153.2.2 | Statistical Inference and Sensitivity Analysis for Instrumen |
| R-ivmte | 1.4.0-lp153.1.12 | Instrumental Variables: Extrapolation by Marginal Treatment |
| R-ivpack | 1.2-lp153.16.11 | Instrumental Variable Estimation. |
| R-ivpanel | 1.0-lp153.2.13 | Instrumental Panel Data Models |
| R-ivprobit | 1.1-lp153.2.13 | Instrumental Variables Probit Model |
| R-ivregEX | 1.0-lp153.24.5 | Create Independent Evidence in IV Analyses and Do Sensitivit |
| R-ivs | 0.2.0-lp153.1.5 | Interval Vectors |
| R-IVYplot | 0.1.0-lp153.2.7 | Produces an IVY Plot (Similar to Dot Plot) with/without Freq |
| R-iwaqr | 1.8.4-lp153.2.2 | Irrigation Water Quality Assessment and Visualizations |
| R-iWeigReg | 1.1-lp153.1.9 | Improved Methods for Causal Inference and Missing Data Probl |
| R-iWISA | 1.0.2-lp153.19.5 | Wavelet-Based Index of Storm Activity |
| R-IxPopDyMod | 0.3.0-lp153.1.5 | Framework for Tick Population and Infection Modeling |
| R-iZID | 0.0.1-lp153.3.7 | Identify Zero-Inflated Distributions |
| R-izmir | 0.1.0-lp153.3.4 | R Wrapper for Izmir Municipality Open Data Portal |
| R-jaatha | 3.2.5-lp153.1.4 | Simulation-Based Maximum Likelihood Parameter Estimation |
| R-jab.adverse.reactions | 1.0.3-lp153.1.5 | Possible Adverse Events/Reactions from the Vaccinations/Expe |
| R-jabr | 0.1.2-lp153.3.13 | Easy Access for West Java Data |
| R-jack | 3.0.0-lp153.5.7 | Jack, Zonal, and Schur Polynomials |
| R-jackknifeKME | 1.2-lp153.4.11 | Jackknife Estimates of Kaplan-Meier Estimators or Integrals |
| R-jackknifeR | 1.2.0-lp153.1.5 | Delete-d Jackknife for Point and Interval Estimation |
| R-jackstrap | 0.1.0-lp153.18.2 | Correcting Nonparametric Frontier Measurements for Outliers |
| R-jacpop | 0.6-lp153.2.13 | Jaccard Index for Population Structure Identification |
| R-JADE | 2.0.4-lp153.1.5 | Blind Source Separation Methods Based on Joint Diagonalizati |
| R-jadeLizardOptions | 1.0.1-lp153.2.7 | Trading Jade Lizard Option Strategies |
| R-jage | 0.1.0-lp153.1.4 | Estimation of Developmental Age |
| R-jaggR | 0.1.1-lp153.2.13 | Supporting Files and Functions for the Book Bayesian Modelli |
| R-jagsUI | 1.6.2-lp153.1.4 | A Wrapper Around \'rjags\' to Streamline \'JAGS\' Analyses |
| R-jalcal | 0.1.0-lp153.1.12 | Conversion Between Jalali (Persian or Solar Hijri) and Grego |
| R-JamendoR | 0.1.1-lp153.8.7 | Access to \'Jamendo\' API |
| R-james.analysis | 1.0.1-lp153.2.13 | Analysis Tools for the \'JAMES\' Framework |
| R-janeaustenr | 1.0.0-lp153.1.8 | Jane Austen\'s Complete Novels |
| R-janitor | 2.2.0-lp153.3.2 | Simple Tools for Examining and Cleaning Dirty Data |
| R-jaod | 0.3.0-lp153.10.7 | Directory of Open Access Journals Client |
| R-japanmesh | 0.1.1-lp153.12.7 | Functions for the Japanese Regional Mesh Codes (\'JIS X 0410 |
| R-japanstat | 0.1.0-lp153.12.2 | Tools for Easy Use of \'e-Stat\' API |
| R-JASPAR | 0.0.1-lp153.2.13 | R modules for JASPAR databases: a collection of transcriptio |
| R-Jaya | 0.1.9-lp153.6.7 | Jaya, a Gradient-Free Optimization Algorithm |
| R-JBrowseR | 0.10.2-lp153.4.2 | An R Interface to the JBrowse 2 Genome Browser |
| R-jcext | 0.1.1-lp153.18.4 | Extended Classification of Weather Types |
| R-jcolors | 0.0.5-lp153.2.2 | Colors Palettes for R and \'ggplot2\', Additional Themes for |
| R-jcp | 1.2-lp153.1.11 | Joint Change Point Detection |
| R-JCRImpactFactor | 1.0.0-lp153.5.2 | Journal Citation Reports (\'JCR\') Impact Factor by \'Clariv |
| R-jdenticon | 0.1.1-lp153.1.5 | A Wrapper for the Node.js \'Jdenticon\' Library |
| R-Jdmbs | 1.4-lp153.14.4 | Monte Carlo Option Pricing Algorithms for Jump Diffusion Mod |
| R-jds.rmd | 0.3.3-lp153.6.2 | R Markdown Templates for Journal of Data Science |
| R-jeek | 1.1.1-lp153.7.4 | A Fast and Scalable Joint Estimator for Integrating Addition |
| R-jenga | 1.1.0-lp153.1.9 | Fast Extrapolation of Time Features using K-Nearest Neighbor |
| R-jetpack | 0.5.5-lp153.2.4 | A Friendly Package Manager |
| R-jewel | 2.0.2-lp153.2.2 | Graphical Models Estimation from Multiple Sources |
| R-JFE | 2.5.7-lp153.1.2 | Tools for Analyzing Time Series Data of Just Finance and Eco |
| R-jgcricolors | 1.0.0-lp153.10.5 | Manage \'JGCRI\' Color Palettes |
| R-JGEE | 1.1-lp153.2.13 | Joint Generalized Estimating Equation Solver |
| R-JGL | 2.3.2-lp153.2.4 | Performs the Joint Graphical Lasso for Sparse Inverse Covari |
| R-JICO | 0.0-lp153.1.5 | Joint and Individual Regression |
| R-jiebaRD | 0.1-lp153.2.13 | Chinese Text Segmentation Data for jiebaR Package |
| R-jipApprox | 0.1.5-lp153.1.5 | Approximate Inclusion Probabilities for Survey Sampling |
| R-JirAgileR | 0.0.2.1-lp153.1.12 | JIRA REST API Wrapper for R |
| R-jjAnno | 0.0.3-lp153.2.13 | An Annotation Package for \'ggplot2\' Output |
| R-jjb | 0.1.1-lp153.2.13 | Balamuta Miscellaneous |
| R-JLPM | 1.0.2-lp153.3.2 | Joint Latent Process Models |
| R-jlsm | 0.1.0-lp153.19.5 | Joint Latent Space Model for Social Networks with Multivaria |
| R-JM | 1.5.2-lp153.1.8 | Joint Modeling of Longitudinal and Survival Data |
| R-jmBIG | 0.1.1-lp153.4.4 | Joint Longitudinal and Survival Model for Big Data |
| R-jmdem | 1.0.1-lp153.2.13 | Fitting Joint Mean and Dispersion Effects Models |
| R-JMdesign | 1.5-lp153.1.4 | Joint Modeling of Longitudinal and Survival Data - Power Cal |
| R-jmdl | 0.3.0-lp153.2.13 | Joint Mean-Correlation Regression Approach for Discrete Long |
| R-jmetrik | 1.1-lp153.2.13 | Tools for Interacting with \'jMetrik\' |
| R-Jmisc | 0.3.1.1-lp153.1.9 | Julian Miscellaneous Function |
| R-jmuOutlier | 2.2-lp153.2.13 | Permutation Tests for Nonparametric Statistics |
| R-JNplots | 0.1.1-lp153.2.4 | Visualize Outputs from the \'Johnson-Neyman\' Technique |
| R-job | 0.3.1-lp153.2.2 | Run Code as an RStudio Job - Free Your Console |
| R-jocre | 0.3.3-lp153.3.7 | Joint Confidence Regions |
| R-JoF | 0.1.0-lp153.2.13 | Modelling and Simulating Judgments of Frequency |
| R-Johnson | 1.4-lp153.2.13 | Johnson Transformation |
| R-joineR | 1.2.8-lp153.1.7 | Joint Modelling of Repeated Measurements and Time-to-Event D |
| R-joint.Cox | 3.16-lp153.1.11 | Joint Frailty-Copula Models for Tumour Progression and Death |
| R-jointCalib | 0.1.0-lp153.3.2 | A Joint Calibration of Totals and Quantiles |
| R-jointDiag | 0.4-lp153.2.13 | Joint Approximate Diagonalization of a Set of Square Matrice |
| R-jointMeanCov | 0.1.0-lp153.2.13 | Joint Mean and Covariance Estimation for Matrix-Variate Data |
| R-JointModel | 1.0-lp153.8.7 | Semiparametric Joint Models for Longitudinal and Counting Pr |
| R-JointNets | 2.0.1-lp153.18.7 | End-to-End Sparse Gaussian Graphical Model Simulation, Estim |
| R-jointNmix | 1.0-lp153.2.13 | Joint N-Mixture Models for Site-Associated Species |
| R-jointPm | 2.3.2-lp153.1.5 | Risk Estimation Using the Joint Probability Method |
| R-jointVIP | 0.1.2-lp153.1.5 | Prioritize Variables with Joint Variable Importance Plot in |
| R-JOPS | 0.1.19-lp153.2.4 | Practical Smoothing with P-Splines |
| R-JoSAE | 0.3.0-lp153.2.13 | Unit-Level and Area-Level Small Area Estimation |
| R-josaplay | 0.1.3-lp153.2.13 | Add Josa Based on Previous Letter in Korean |
| R-jot | 0.0.4-lp153.2.8 | Jot Down Values for Later |
| R-journalabbr | 0.4.3-lp153.3.2 | Journal Abbreviations for BibTeX Documents |
| R-jpeg | 0.1_8.1-lp155.1.5 | Read and write JPEG images |
| R-jpeg | 0.1_8.1-lp154.1.10 | Read and write JPEG images |
| R-jpeg | 0.1_8.1-1.26 | Read and write JPEG images |
| R-jpeg | 0.1.10-lp153.2.7 | Read and write JPEG images |
| R-jpeg | 0.1_8.1-lp153.1.26 | Read and write JPEG images |
| R-jpeg | 0.1_8.1-1.36 | Read and write JPEG images |
| R-JPEN | 1.0-lp153.2.13 | Covariance and Inverse Covariance Matrix Estimation Using Jo |
| R-jpmesh | 2.1.0-lp153.12.2 | Utilities for Japanese Mesh Code |
| R-jpndistrict | 0.3.9-lp153.1.13 | Create Japanese Administration Area and Office Maps |
| R-jpstat | 0.4.0-lp153.2.2 | Tools for Easy Use of \'e-Stat\', \'RESAS\' API, Etc |
| R-jqbr | 1.0.3-lp153.4.2 | \'jQuery QueryBuilder\' Input for \'Shiny\' |
| R-jquerylib | 0.1.4-lp153.7.2 | Obtain \'jQuery\' as an HTML Dependency Object |
| R-jrc | 0.6.0-lp153.3.2 | Exchange Commands Between R and \'JavaScript\' |
| R-JRF | 0.1.4-lp153.2.13 | Joint Random Forest (JRF) for the Simultaneous Estimation of |
| R-jrich | 0.60.35-lp153.4.7 | Jack-Knife Support for Evolutionary Distinctiveness Indices |
| R-jrvFinance | 1.4.3-lp153.1.11 | Basic Finance; NPV/IRR/Annuities/Bond-Pricing; Black Scholes |
| R-jScore | 0.1.0-lp153.1.12 | Calculates the j-Score Between Two Clustering Assignments |
| R-jshintr | 0.1.0-lp153.13.2 | Lint \'JavaScript\' Files |
| R-JSmediation | 0.2.2-lp153.3.2 | Mediation Analysis Using Joint Significance |
| R-json2aRgs | 0.3.0-lp153.1.7 | Parse Parameters Inside a Docker Container |
| R-json64 | 0.1.3-lp153.2.13 | A \'Base64\' Encode/Decode Package with Support for JSON Out |
| R-jSonarR | 1.1.1-lp153.3.12 | jSonar Analytics Platform API for R |
| R-jsonlite | 1.6.1-lp153.1.28 | A Robust, High Performance JSON Parser and Generator for R |
| R-jsonlite | 1.6.1-1.36 | A Robust, High Performance JSON Parser and Generator for R |
| R-jsonlite | 1.6.1-lp154.1.10 | A Robust, High Performance JSON Parser and Generator for R |
| R-jsonlite | 1.6.1-1.26 | A Robust, High Performance JSON Parser and Generator for R |
| R-jsonlite | 1.6.1-lp155.1.5 | A Robust, High Performance JSON Parser and Generator for R |
| R-jsonstat | 0.0.2-lp153.14.7 | Interface to \'JSON-stat\' |
| R-jsontools | 0.1.0-lp153.7.7 | Working with JSON Vectors |
| R-JSparO | 1.5.0-lp153.1.8 | Joint Sparse Optimization via Proximal Gradient Method for C |
| R-jstor | 0.3.11-lp153.2.2 | Read Data from JSTOR/DfR |
| R-jsTree | 1.2-lp153.14.2 | Create Interactive Trees with the \'jQuery\' \'jsTree\' Plug |
| R-jsTreeR | 2.6.0-lp153.2.2 | A Wrapper of the JavaScript Library \'jsTree\' |
| R-JSUparameters | 1.0.0-lp153.1.11 | Estimate Parameters of the Best-Fitting JohnsonSU Distributi |
| R-jtrans | 0.2.1-lp153.2.13 | Johnson Transformation for Normality |
| R-jubilee | 0.3.3-lp153.17.4 | Forecasting Long-Term Growth of the U.S. Stock Market and Bu |
| R-juicr | 0.1-lp153.2.8 | Automated and Manual Extraction of Numerical Data from Scien |
| R-Julia | 1.3.5-lp153.1.5 | Fractal Image Data Generator |
| R-JuliaCall | 0.11.1-lp154.1.10 | Seamless Integration Between R and \'Julia\' |
| R-JuliaCall | 0.11.1-lp155.1.5 | Seamless Integration Between R and \'Julia\' |
| R-JuliaCall | 0.11.1-1.60 | Seamless Integration Between R and \'Julia\' |
| R-JuliaCall | 0.11.1-lp153.1.23 | Seamless Integration Between R and \'Julia\' |
| R-JuliaCall | 0.11.1-1.24 | Seamless Integration Between R and \'Julia\' |
| R-just.install | 1.0.2-lp153.6.7 | Very Simple Function to Install Packages without Attaching |
| R-justifier | 0.1.0-lp153.2.13 | Human and Machine-Readable Justifications and Justified Deci |
| R-jvcoords | 1.0.3-lp153.1.12 | Principal Component Analysis (PCA) and Whitening |
| R-jvnVaR | 1.0-lp153.2.13 | Value at Risk |
| R-k5 | 0.2.1-lp153.2.2 | Kiernan Nicholls Miscellaneous |
| R-kableExtra | 1.4.0-lp153.4.2 | Construct Complex Table with \'kable\' and Pipe Syntax |
| R-kader | 0.0.8-lp153.2.13 | Kernel Adaptive Density Estimation and Regression |
| R-kaigiroku | 0.5-lp153.7.2 | Programmatic Access to the API for Japanese Diet Proceedings |
| R-kangar00 | 1.4.2-lp153.2.2 | Kernel Approaches for Nonlinear Genetic Association Regressi |
| R-kaos | 0.1.2-lp153.15.2 | Encoding of Sequences Based on Frequency Matrix Chaos Game R |
| R-kaphom | 0.3-lp153.2.13 | Test the Homogeneity of Kappa Statistics |
| R-KappaGUI | 2.0.2-lp153.13.2 | An R-Shiny Application for Calculating Cohen\'s and Fleiss\' |
| R-kappalab | 0.4.12-lp153.1.4 | Non-Additive Measure and Integral Manipulation Functions |
| R-kappaSize | 1.2-lp153.2.13 | Sample Size Estimation Functions for Studies of Interobserve |
| R-KappaV | 0.3-lp153.2.13 | Calculates \"vectorial Kappa\", an index of congruence betwe |
| R-kaps | 1.0.2-lp153.2.12 | K-Adaptive Partitioning for Survival data |
| R-KaradaColor | 0.1.5-lp153.1.5 | Color Palettes Inspired by Japanese Landscape and Culture |
| R-karaoke | 2.0-lp153.1.4 | Remove Vocals from a Song |
| R-Karen | 1.0-lp153.9.4 | Kalman Reaction Networks |
| R-karlen | 0.0.2-lp153.2.2 | Real-Time PCR Data Sets by Karlen et al. (2007) |
| R-KarsTS | 2.4.1-lp153.17.7 | An Interface for Microclimate Time Series Analysis |
| R-KbMvtSkew | 1.0.2-lp153.2.12 | Khattree-Bahuguna\'s Univariate and Multivariate Skewness |
| R-kcirt | 0.6.0-lp153.2.13 | k-Cube Thurstonian IRT Models |
| R-kcmeans | 0.1.0-lp153.1.4 | Conditional Expectation Function Estimation with K-Condition |
| R-Kcop | 1.0.0-lp153.2.7 | Smooth Test for Equality of Copulas and Clustering Multivari |
| R-kcopula | 0.1.0-lp153.2.12 | The Bivariate K-Copula |
| R-kdensity | 1.1.0-lp153.12.7 | Kernel Density Estimation with Parametric Starts and Asymmet |
| R-kdetrees | 0.1.5-lp153.9.11 | Nonparametric method for identifying discordant phylogenetic |
| R-kdist | 0.2-lp153.2.13 | K-Distribution and Weibull Paper |
| R-kdpee | 1.0.0-lp153.1.12 | Fast Multidimensional Entropy Estimation by k-d Partitioning |
| R-kdry | 0.0.2-lp153.3.2 | K\'s \"Don\'t Repeat Yourself\"-Collection |
| R-KDViz | 1.3.1-lp153.5.13 | Knowledge Domain Visualization |
| R-kedd | 1.0.4-lp153.1.4 | Kernel Estimator and Bandwidth Selection for Density and Its |
| R-keep | 1.0-lp153.2.13 | Arrays with Better Control over Dimension Dropping |
| R-kehra | 0.1-lp153.31.2 | Collect, Assemble and Model Air Pollution, Weather and Healt |
| R-Kendall | 2.2.1-lp153.1.10 | Kendall rank correlation and Mann-Kendall trend test |
| R-kendallRandomWalks | 0.9.4-lp153.17.7 | Simulate and Visualize Kendall Random Walks and Related Dist |
| R-KENDL | 1.1-lp153.2.13 | Kernel-Smoothed Nonparametric Methods for Environmental Expo |
| R-KEPTED | 0.2.0-lp153.2.2 | Kernel-Embedding-of-Probability Test for Elliptical Distribu |
| R-keras | 2.15.0-lp153.2.2 | R Interface to \'Keras\' |
| R-kerasR | 0.8.1-lp153.2.7 | R Interface to the Keras Deep Learning Library |
| R-kerastuneR | 0.1.0.7-lp153.2.2 | Interface to \'Keras Tuner\' |
| R-kerDAA | 0.1.1-lp153.1.5 | New Kernel-Based Test for Differential Association Analysis |
| R-kerdiest | 1.2-lp153.2.13 | Nonparametric kernel estimation of the distribution function |
| R-KERE | 1.0.0-lp153.2.13 | Expectile Regression in Reproducing Kernel Hilbert Space |
| R-kerndwd | 2.0.3-lp153.2.13 | Distance Weighted Discrimination (DWD) and Kernel Methods |
| R-kernelFactory | 0.3.0-lp153.2.13 | Kernel Factory: An Ensemble of Kernel Machines |
| R-kernelPhil | 0.1-lp153.23.5 | Kernel Smoothing Tools for Philology and Historical Dialecto |
| R-kernhaz | 0.1.0-lp153.19.5 | Kernel Estimation of Hazard Function in Survival Analysis |
| R-kernplus | 0.1.2-lp153.17.2 | A Kernel Regression-Based Multidimensional Wind Turbine Powe |
| R-kernscr | 1.0.6-lp153.1.5 | Kernel Machine Score Test for Semi-Competing Risks |
| R-KernSmooth | 2.23.24-50.1 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-50.0.2.1.sr20240605 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-56.163 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-56.163 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-50.1 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-194.138 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-192.1 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-194.138 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-lp155.192.1 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-lp153.192.1 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-lp153.2.2 | Functions for Kernel Smoothing Supporting Wand & Jones (1995 |
| R-KernSmooth | 2.23.24-50.1 | Package provides recommended R-KernSmooth |
| R-KernSmooth | 2.23.24-lp154.192.1 | Package provides recommended R-KernSmooth |
| R-kerTests | 0.1.4-lp153.1.5 | Generalized Kernel Two-Sample Tests |
| R-Keyboard | 0.1.3-lp153.1.4 | Bayesian Designs for Early Phase Clinical Trials |
| R-keyholder | 0.1.7-lp153.1.5 | Store Data About Rows |
| R-keyplayer | 1.0.4-lp153.2.4 | Locating Key Players in Social Networks |
| R-keypress | 1.3.1-lp153.1.4 | Wait for a Key Press in a Terminal |
| R-keyringr | 0.4.0-lp153.7.2 | Decrypt Passwords from Gnome Keyring, Windows Data Protectio |
| R-keys | 0.1.1-lp153.12.2 | Keyboard Shortcuts for \'shiny\' |
| R-keyToEnglish | 0.2.1-lp153.5.2 | Convert Data to Memorable Phrases |
| R-KFAS | 1.5.1-lp153.1.5 | Kalman Filter and Smoother for Exponential Family State Spac |
| R-kfda | 1.0.0-lp153.2.13 | Kernel Fisher Discriminant Analysis |
| R-kfigr | 1.2.1-lp153.7.5 | Integrated Code Chunk Anchoring and Referencing for R Markdo |
| R-kfino | 1.0.0-lp153.2.7 | Kalman Filter for Impulse Noised Outliers |
| R-KFPCA | 2.0-lp153.18.2 | Kendall Functional Principal Component Analysis |
| R-KFPLS | 1.0-lp153.3.4 | Kernel Functional Partial Least Squares |
| R-kgc | 1.0.0.2-lp153.11.2 | Koeppen-Geiger Climatic Zones |
| R-kgen | 0.3.1-lp153.1.4 | A Tool for Calculating Stoichiometric Equilibrium Constants |
| R-KGode | 1.0.4-lp153.1.8 | Kernel Based Gradient Matching for Parameter Inference in Or |
| R-kgschart | 1.3.5-lp153.19.2 | KGS Rank Graph Parser |
| R-KHQ | 0.2.0-lp153.5.2 | Methods for Calculating \'KHQ\' Scores and \'KHQ5D\' Utility |
| R-kidney.epi | 1.2.0-lp153.2.13 | Kidney Functions: Clinical and Epidemiological |
| R-kidsides | 0.5.0-lp153.2.4 | Download, Cache, and Connect to KidSIDES |
| R-kimisc | 0.4-lp153.8.2 | Kirill\'s Miscellaneous Functions |
| R-kin.cohort | 0.7-lp153.2.13 | Analysis of Kin-Cohort Studies |
| R-kinematics | 1.0.0-lp153.1.12 | Studying Sampled Trajectories |
| R-kineticF | 1.0-lp153.2.13 | Framework for the Analysis of Kinetic Visual Field Data |
| R-KingCountyHouses | 0.1.0-lp153.1.12 | Data on House Sales in King County WA |
| R-kinship2 | 1.6.4-lp153.1.24 | Pedigree functions |
| R-kinship2 | 1.6.4-1.28 | Pedigree functions |
| R-kinship2 | 1.9.6.1-lp153.1.2 | Pedigree functions |
| R-kinship2 | 1.6.4-lp154.1.10 | Pedigree functions |
| R-kinship2 | 1.6.4-lp155.1.5 | Pedigree functions |
| R-kinship2 | 1.6.4-1.38 | Pedigree functions |
| R-KINSIMU | 0.1.2.2-lp153.1.2 | Panel Evaluation in Forensic Kinship Analysis |
| R-KINSIMU | 0.1.2.2-lp155.1.1 | Panel Evaluation in Forensic Kinship Analysis |
| R-KINSIMU | 0.1.2.2-lp154.1.1 | Panel Evaluation in Forensic Kinship Analysis |
| R-kirby21.base | 1.7.3-lp153.3.11 | Example Data from the Multi-Modal MRI \'Reproducibility\' Re |
| R-kirby21.fmri | 1.7.0-lp153.3.11 | Example Functional Imaging Data from the Multi-Modal MRI \'R |
| R-kirby21.t1 | 1.7.0-lp153.3.11 | Example T1 Structural Data from the Multi-Modal MRI \'Reprod |
| R-kisopenapi | 0.0.2-lp153.1.4 | Korea Investment & Securities (KIS) Open Trading API |
| R-kissmig | 1.0.4-lp153.3.4 | a Keep It Simple Species Migration Model |
| R-kknn | 1.3.1-lp153.7.4 | Weighted k-Nearest Neighbors |
| R-klaR | 1.7.3-lp153.4.2 | Classification and visualization |
| R-kldest | 1.0.0-lp153.2.2 | Sample-Based Estimation of Kullback-Leibler Divergence |
| R-kldtools | 1.2-lp153.1.11 | Kullback-Leibler Divergence and Other Tools to Analyze Frequ |
| R-KLexp | 1.0.0-lp153.3.7 | Kernel_lasso Expansion |
| R-klsh | 0.1.0-lp153.6.2 | Blocking for Record Linkage |
| R-klustR | 0.1.0-lp153.15.2 | D3 Dynamic Cluster Visualizations |
| R-km.ci | 0.5.6-lp153.1.10 | Confidence Intervals for the Kaplan-Meier Estimator |
| R-KMD | 0.1.0-lp153.7.4 | Kernel Measure of Multi-Sample Dissimilarity |
| R-KMDA | 1.0-lp153.2.13 | Kernel-Based Metabolite Differential Analysis |
| R-kmed | 0.4.2-lp153.4.5 | Distance-Based k-Medoids |
| R-Kmedians | 2.2.0-lp153.2.2 | K-Medians |
| R-kmi | 0.5.5-lp153.2.13 | Kaplan-Meier Multiple Imputation for the Analysis of Cumulat |
| R-kml | 2.4.6-lp153.2.5 | K-Means for Longitudinal Data |
| R-kml3d | 2.4.6-lp153.2.5 | K-Means for Joint Longitudinal Data |
| R-kmlcov | 1.0.1-lp153.2.13 | Clustering longitudinal data using the likelihood as a metri |
| R-kmlShape | 0.9.5-lp153.14.7 | K-Means for Longitudinal Data using Shape-Respecting Distanc |
| R-KMLtoSHAPE | 0.1.0-lp153.2.2 | Preserving Attribute Values: Converting KML to Shapefile |
| R-kmodR | 0.2.0-lp153.1.9 | K-Means with Simultaneous Outlier Detection |
| R-kmscv | 0.1.0-lp153.7.7 | K-Means Based Stratified Resampling |
| R-KMsurv | 0.1.5-lp153.2.13 | Data sets from Klein and Moeschberger (1997), Survival Analy |
| R-KMunicate | 0.2.5-lp153.1.2 | KMunicate-Style Kaplan–Meier Plots |
| R-KnapsackSampling | 0.1.1-lp153.1.4 | Generate Feasible Samples of a Knapsack Problem |
| R-KneeArrower | 1.0.0-lp153.2.13 | Finds Cutoff Points on Knee Curves |
| R-knitcitations | 1.0.12-lp153.10.2 | Citations for \'Knitr\' Markdown Files |
| R-knitLatex | 0.9.0-lp153.11.5 | \'Knitr\' Helpers - Mostly Tables |
| R-knitr | 1.27-1.29 | A general-purpose package for dynamic report generation in R |
| R-knitr | 1.27-1.34 | A general-purpose package for dynamic report generation in R |
| R-knitr | 1.27-lp153.1.26 | A general-purpose package for dynamic report generation in R |
| R-knitrBootstrap | 1.0.3-lp153.4.2 | \'knitr\' Bootstrap Framework |
| R-knitrdata | 0.6.1-lp153.8.7 | Data Language Engine for \'knitr\' / \'rmarkdown\' |
| R-knnIndep | 2.0-lp153.2.13 | Independence tests and benchmarks |
| R-knnmi | 1.0-lp153.2.2 | k-Nearest Neighbor Mutual Information Estimator |
| R-kNNvs | 0.1.0-lp153.1.12 | k Nearest Neighbors with Grid Search Variable Selection |
| R-knnwtsim | 1.0.0-lp153.1.11 | K Nearest Neighbor Forecasting with a Tailored Similarity Me |
| R-knockoff | 0.3.6-lp153.2.7 | The Knockoff Filter for Controlled Variable Selection |
| R-KnockoffHybrid | 1.0.1-lp153.1.2 | Hybrid Analysis of Population and Trio Data with Knockoff St |
| R-KnockoffScreen | 0.3.0-lp153.2.9 | Whole-Genome Sequencing Data Analysis via Knockoff Statistic |
| R-KnockoffTrio | 1.0.2-lp153.1.4 | Trio Data Analysis with Knockoff Statistics for FDR Control |
| R-Knoema | 0.1.19-lp153.1.11 | Interface to the Knoema API |
| R-knotR | 1.0.4-lp153.1.4 | Knot Diagrams using Bezier Curves |
| R-KnowBR | 2.2-lp153.1.5 | Discriminating Well Surveyed Spatial Units from Exhaustive B |
| R-KnowGRRF | 1.0-lp153.3.13 | Knowledge-Based Guided Regularized Random Forest |
| R-kntnr | 0.4.4-lp153.20.2 | R Client for \'kintone\' API |
| R-KOBT | 0.1.0-lp153.8.11 | Knockoff Boosted Tree |
| R-kofdata | 0.2.1-lp153.1.4 | Get Data from the \'KOF Datenservice\' API |
| R-kofnGA | 1.3-lp153.3.9 | A Genetic Algorithm for Fixed-Size Subset Selection |
| R-KOGMWU | 1.2-lp153.6.5 | Functional Summary and Meta-Analysis of Gene Expression Data |
| R-kolmim | 1.0-lp153.2.13 | An Improved Evaluation of Kolmogorov\'s Distribution |
| R-komaletter | 0.5.0-lp153.8.2 | Simply Beautiful PDF Letters from Markdown |
| R-konya | 0.1.0-lp153.2.4 | R Wrapper for Konya Municipality Open Data Portal |
| R-KOR.addrlink | 1.0.1-lp153.2.2 | Matching Address Data to Reference Index |
| R-koRpus | 0.13.8-lp153.1.12 | Text Analysis with Emphasis on POS Tagging, Readability, and |
| R-koRpus.lang.en | 0.1.4-lp153.2.13 | Language Support for \'koRpus\' Package: English |
| R-kosel | 0.0.1-lp153.4.7 | Variable Selection by Revisited Knockoffs Procedures |
| R-kosis | 0.0.1-lp153.1.5 | Korean Statistical Information Service (KOSIS) |
| R-Kpart | 1.2.2-lp153.2.13 | Cubic Spline Fitting with Knot Selection |
| R-KPC | 0.1.2-lp153.3.7 | Kernel Partial Correlation Coefficient |
| R-kpeaks | 1.1.0-lp153.2.13 | Determination of K Using Peak Counts of Features for Cluster |
| R-kpmt | 0.1.0-lp153.2.13 | Known Population Median Test |
| R-kpodclustr | 1.1-lp153.2.13 | Method for Clustering Partially Observed Data |
| R-KraljicMatrix | 0.2.1-lp153.16.7 | A Quantified Implementation of the Kraljic Matrix |
| R-kriens | 0.1-lp153.2.13 | Continuation Passing Style Development |
| R-kriging | 1.2-lp153.1.8 | Ordinary Kriging |
| R-KrigInv | 1.4.2-lp153.2.7 | Kriging-Based Inversion for Deterministic and Noisy Computer |
| R-krippendorffsalpha | 2.0-lp153.1.7 | Measuring Agreement Using Krippendorff\'s Alpha Coefficient |
| R-KRIS | 1.1.6-lp153.2.7 | Keen and Reliable Interface Subroutines for Bioinformatic An |
| R-KRLS | 1.0.0-lp153.2.13 | Kernel-Based Regularized Least Squares |
| R-krm | 2022.10.17-lp153.1.8 | Kernel Based Regression Models |
| R-KRMM | 1.0-lp153.2.13 | Kernel Ridge Mixed Model |
| R-kronos | 1.0.0-lp153.1.5 | Microbiome Oriented Circadian Rhythm Analysis Toolkit |
| R-KSA | 0.1.0-lp153.1.8 | Retained Component Criterion for Principal Component Analysi |
| R-kSamples | 1.2.10-lp153.1.5 | K-Sample Rank Tests and their Combinations |
| R-KScorrect | 1.4.0-lp153.2.12 | Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Test |
| R-KSD | 1.0.1-lp153.8.2 | Goodness-of-Fit Tests using Kernelized Stein Discrepancy |
| R-KSEAapp | 0.99.0-lp153.3.12 | Kinase-Substrate Enrichment Analysis |
| R-kselection | 0.2.1-lp153.1.9 | Selection of K in K-Means Clustering |
| R-ksharp | 0.1.0.1-lp153.2.13 | Cluster Sharpening |
| R-KSPM | 0.2.1-lp153.4.7 | Kernel Semi-Parametric Models |
| R-ksrlive | 1.0-lp153.4.13 | Identify Kinase Substrate Relationships Using Dynamic Data |
| R-kst | 0.5.4-lp153.1.7 | Knowledge Space Theory |
| R-kStatistics | 2.1.1-lp153.1.9 | Unbiased Estimators for Cumulant Products and Faa Di Bruno\' |
| R-kstIO | 0.4.0-lp153.3.4 | Knowledge Space Theory Input/Output |
| R-KTensorGraphs | 1.1-lp153.2.13 | Co-Tucker3 Analysis of Two Sequences of Matrices |
| R-ktsolve | 1.3.1-lp153.1.5 | Configurable Function for Solving Families of Nonlinear Equa |
| R-ktweedie | 1.0.3-lp153.1.5 | \'Tweedie\' Compound Poisson Model in the Reproducing Kernel |
| R-kubik | 0.3.0-lp153.1.13 | Cubic Hermite Splines and Related Root Finding Methods |
| R-kuiper.2samp | 1.0-lp153.2.13 | Two-Sample Kuiper Test |
| R-kulife | 0.1.14-lp153.2.13 | Datasets and functions from the (now non-existing) Faculty o |
| R-kuniezu | 0.1.3-lp153.2.18 | Assistance on the National Geography of Japan |
| R-Kurt | 1.1-lp153.1.12 | Performs Kurtosis-Based Statistical Analyses |
| R-kutils | 1.73-lp153.2.2 | Project Management Tools |
| R-kwb.hantush | 0.3.0-lp153.9.7 | Calculation of Groundwater Mounding Beneath an Infiltration |
| R-kza | 4.1.0.1-lp153.2.13 | Kolmogorov-Zurbenko Adaptive Filters |
| R-kzfs | 1.5.0.2-lp153.2.13 | Multi-Scale Motions Separation with Kolmogorov-Zurbenko Peri |
| R-kzft | 0.17-lp153.2.13 | Kolmogorov-Zurbenko Fourier Transform and Applications |
| R-kzs | 1.4-lp153.2.13 | Kolmogorov-Zurbenko Spatial Smoothing and Applications |
| R-l1ball | 0.1.0-lp153.2.13 | L1-Ball Prior for Sparse Regression |
| R-l1kdeconv | 1.2.0-lp153.26.2 | Deconvolution for LINCS L1000 Data |
| R-l2boost | 1.0.3-lp153.1.11 | Exploring Friedman\'s Boosting Algorithm for Regularized Lin |
| R-L2DensityGoFtest | 0.6.0-lp153.1.7 | Density Goodness-of-Fit Test |
| R-L2E | 2.0-lp153.2.7 | Robust Structured Regression via the L2 Criterion |
| R-L2hdchange | 1.0-lp153.1.5 | L2 Inference for Change Points in High-Dimensional Time Seri |
| R-LabApplStat | 1.4.4-lp153.10.2 | Miscellaneous Scripts from the Data Science Laboratory (UCPH |
| R-labdsv | 2.1.0-lp153.1.5 | Ordination and Multivariate Analysis for Ecology |
| R-label.switching | 1.8-lp153.2.13 | Relabelling MCMC Outputs of Mixture Models |
| R-labeledLoop | 0.1-lp153.2.19 | Labeled Loop |
| R-labeleR | 0.1.2-lp153.4.2 | Automate the Production of Custom Labels, Badges, Certificat |
| R-labeling | 0.3-1.30 | Axis Labeling |
| R-labeling | 0.3-1.38 | Axis Labeling |
| R-labeling | 0.3-lp155.1.5 | Axis Labeling |
| R-labeling | 0.3-lp153.1.28 | Axis Labeling |
| R-labeling | 0.3-lp154.1.10 | Axis Labeling |
| R-labeling | 0.4.3-lp153.1.5 | Axis Labeling |
| R-labelled | 2.13.0-lp153.2.2 | Manipulating Labelled Data |
| R-labelmachine | 1.0.0-lp153.2.13 | Make Labeling of R Data Sets Easy |
| R-labelrank | 0.1-lp153.2.13 | Predicting Rankings of Labels |
| R-labelVector | 0.1.2-lp153.1.12 | Label Attributes for Atomic Vectors |
| R-labNorm | 1.0.1-lp153.2.7 | Normalize Laboratory Measurements by Age and Sex |
| R-LabourMarketAreas | 3.3.1-lp153.9.7 | Identification, Tuning, Visualisation and Analysis of Labour |
| R-labourR | 1.0.0-lp153.8.7 | Classify Multilingual Labour Market Free-Text to Standardize |
| R-LabRS | 0.1.0-lp153.11.5 | Laboratorio di \"Ricerca Sociale con R\" |
| R-labsimplex | 0.1.2-lp153.14.5 | Simplex Optimization Algorithms for Laboratory and Manufactu |
| R-labstatR | 1.0.13-lp153.1.8 | Libreria Del Laboratorio Di Statistica Con R |
| R-labstats | 1.0.1-lp153.2.13 | Data Sets for the Book \"Experimental Design for Laboratory |
| R-lacm | 0.1.1-lp153.2.13 | Latent Autoregressive Count Models |
| R-lacrmr | 1.0.5-lp153.13.2 | Connect to the \'Less Annoying CRM\' API |
| R-lactcurves | 1.1.0-lp153.1.13 | Lactation Curve Parameter Estimation |
| R-LAD | 0.1.0-lp153.2.2 | Derive Leaf Angle Distribution (LAD) from Measured Leaf Incl |
| R-LadR | 1.0.6-lp153.2.13 | Routines for Fit, Inference and Diagnostics in LAD Models |
| R-laeken | 0.5.3-lp153.1.4 | Estimation of Indicators on Social Exclusion and Poverty |
| R-laercio | 1.0.1-lp153.2.13 | Duncan test, Tukey test and Scott-Knott test. |
| R-lagged | 0.3.2-lp153.1.8 | Classes and Methods for Lagged Objects |
| R-LAGOSNE | 2.0.3-lp153.3.2 | Interface to the Lake Multi-Scaled Geospatial and Temporal D |
| R-laGP | 1.5.9-lp153.1.5 | Local Approximate Gaussian Process Regression |
| R-LagSequential | 0.1.1-lp153.2.13 | Lag-Sequential Categorical Data Analysis |
| R-Lahman | 3.0_1-lp154.1.10 | Sean Lahman\'s Baseball Database |
| R-Lahman | 3.0_1-1.25 | Sean Lahman\'s Baseball Database |
| R-Lahman | 3.0_1-lp153.1.23 | Sean Lahman\'s Baseball Database |
| R-Lahman | 3.0_1-1.38 | Sean Lahman\'s Baseball Database |
| R-Lahman | 3.0_1-lp155.1.5 | Sean Lahman\'s Baseball Database |
| R-LAIr | 0.3.0-lp153.1.4 | Converting NDVI to LAI of Field, Proximal and Satellite Data |
| R-LakeMetabolizer | 1.5.5-lp153.2.7 | Tools for the Analysis of Ecosystem Metabolism |
| R-lakemorpho | 1.3.2-lp153.2.4 | Lake Morphometry Metrics |
| R-laketemps | 0.5.1-lp153.15.2 | Lake Temperatures Collected by Situ and Satellite Methods fr |
| R-lakhesis | 0.0.1-lp153.1.2 | Consensus Seriation for Binary Data |
| R-lambda.r | 1.2.4-lp153.2.13 | Modeling data with functional programming |
| R-Lambda4 | 3.0-lp153.2.13 | Collection of Internal Consistency Reliability Coefficients. |
| R-lambdr | 1.2.5-lp153.1.4 | Create a Runtime for Serving Containerised R Functions on \' |
| R-lamme | 0.0.1-lp153.2.13 | Log-Analytic Methods for Multiplicative Effects |
| R-lancor | 0.1.2-lp153.2.2 | Statistical Inference via Lancaster Correlation |
| R-landest | 1.2-lp153.1.5 | Landmark Estimation of Survival and Treatment Effect |
| R-landform | 0.2-lp153.1.4 | Topographic Position Index-Based Landform Classification |
| R-Landmarking | 1.0.0-lp153.23.3 | Analysis using Landmark Models |
| R-landmix | 1.0-lp153.1.8 | Landmark Prediction for Mixture Data |
| R-landpred | 1.2-lp153.1.5 | Landmark Prediction of a Survival Outcome |
| R-landsat | 1.1.2-lp153.1.5 | Radiometric and Topographic Correction of Satellite Imagery |
| R-landsat8 | 0.1.10-lp153.2.13 | Landsat 8 Imagery Rescaled to Reflectance, Radiance and/or T |
| R-landscapetools | 0.5.0-lp153.15.4 | Landscape Utility Toolbox |
| R-langevitour | 0.7-lp153.3.2 | Langevin Tour |
| R-languagelayeR | 1.2.4-lp153.4.5 | Access the \'languagelayer\' API |
| R-languageR | 1.5.0-lp153.2.13 | Analyzing Linguistic Data: A Practical Introduction to Stati |
| R-languageserversetup | 0.1.2-lp153.2.13 | Automated Setup and Auto Run for R Language Server |
| R-lans2r | 1.2.0-lp153.2.2 | Work with Look at NanoSIMS Data in R |
| R-LaplaceDeconv | 1.0.4-lp153.2.13 | Laplace Deconvolution with Noisy Discrete Non-Equally Spaced |
| R-LaplacesDemon | 16.1.6-lp153.1.12 | Complete Environment for Bayesian Inference |
| R-lareshiny | 0.0.3-lp153.7.2 | Lares \'shiny\' Modules |
| R-LARF | 1.4-lp153.2.13 | Local Average Response Functions for Instrumental Variable E |
| R-LARisk | 1.0.0-lp153.7.7 | Estimation of Lifetime Attributable Risk of Cancer from Radi |
| R-lars | 1.2-lp153.2.24 | Least Angle Regression, Lasso and Forward Stagewise |
| R-lars | 1.2-lp154.2.10 | Least Angle Regression, Lasso and Forward Stagewise |
| R-lars | 1.2-lp155.2.5 | Least Angle Regression, Lasso and Forward Stagewise |
| R-lars | 1.2-2.30 | Least Angle Regression, Lasso and Forward Stagewise |
| R-lars | 1.2-2.38 | Least Angle Regression, Lasso and Forward Stagewise |
| R-lars | 1.3-lp153.1.10 | Least Angle Regression, Lasso and Forward Stagewise |
| R-lass0 | 1.1.0-lp153.2.13 | Lasso-Zero for (High-Dimensional) Linear Regression |
| R-lassopv | 0.2.0-lp153.2.13 | Nonparametric P-Value Estimation for Predictors in Lasso |
| R-lassoscore | 0.6-lp153.3.11 | High-Dimensional Inference with the Penalized Score Test |
| R-lassoshooting | 0.1.5.1.1-lp153.1.10 | L1 Regularized Regression (Lasso) Solver using the Cyclic Co |
| R-LassoSIR | 0.1.1-lp153.4.7 | Sparsed Sliced Inverse Regression via Lasso |
| R-latdiag | 0.3-lp153.4.13 | Draws Diagrams Useful for Checking Latent Scales |
| R-latenetwork | 1.0.1-lp153.3.4 | Inference on LATEs under Network Interference of Unknown For |
| R-latentcor | 2.0.1-lp153.10.3 | Fast Computation of Latent Correlations for Mixed Data |
| R-latentFactoR | 0.0.4-lp153.15.5 | Data Simulation Based on Latent Factors |
| R-latentnet | 2.11.0-lp153.1.4 | Latent position and cluster models for statistical networks |
| R-later | 1.0.0-11.34 | Utilities for Delaying Function Execution |
| R-later | 1.0.0-lp154.11.10 | Utilities for Delaying Function Execution |
| R-later | 1.0.0-lp153.11.24 | Utilities for Delaying Function Execution |
| R-later | 1.0.0-11.31 | Utilities for Delaying Function Execution |
| R-later | 1.0.0-lp155.11.5 | Utilities for Delaying Function Execution |
| R-later-devel | 1.0.0-11.31 | Development files for R-later |
| R-later-devel | 1.0.0-lp155.11.5 | Development files for R-later |
| R-later-devel | 1.0.0-lp154.11.10 | Development files for R-later |
| R-later-devel | 1.0.0-lp153.11.24 | Development files for R-later |
| R-later-devel | 1.0.0-11.34 | Development files for R-later |
| R-LATERmodel | 0.2.0-lp153.2.2 | Linear Approach to Threshold with Ergodic Rate for Reaction |
| R-latex2exp | 0.9.6-lp153.4.2 | Use LaTeX Expressions in Plots |
| R-latexdiffr | 0.2.0-lp153.1.4 | Diff TeX, \'rmarkdown\' or \'quarto\' Files Using the \'late |
| R-latexpdf | 0.1.8-lp153.1.4 | Convert Tables to PDF or PNG |
| R-latrend | 1.6.1-lp153.2.2 | A Framework for Clustering Longitudinal Data |
| R-latte | 0.2.1-lp153.23.2 | Interface to \'LattE\' and \'4ti2\' |
| R-lattice | 0.22.6-194.138 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-194.138 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-lp153.2.2 | Trellis Graphics for R |
| R-lattice | 0.22.6-50.1 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-56.163 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-50.1 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-lp153.192.1 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-50.0.2.1.sr20240605 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-56.163 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-50.1 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-192.1 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-lp154.192.1 | Package provides recommended R-lattice |
| R-lattice | 0.22.6-lp155.192.1 | Package provides recommended R-lattice |
| R-latticeDensity | 1.2.6-lp153.9.7 | Density Estimation and Nonparametric Regression on Irregular |
| R-LatticeDesign | 2.0.5-lp153.1.7 | Lattice-Based Space-Filling Designs |
| R-latticeExtra | 0.6_28-lp154.1.10 | Extra graphical utilities based on lattice |
| R-latticeExtra | 0.6_28-1.38 | Extra graphical utilities based on lattice |
| R-latticeExtra | 0.6_28-1.29 | Extra graphical utilities based on lattice |
| R-latticeExtra | 0.6_28-lp155.1.5 | Extra graphical utilities based on lattice |
| R-latticeExtra | 0.6_28-lp153.1.25 | Extra graphical utilities based on lattice |
| R-latticeExtra | 0.6.30-lp153.2.7 | Extra graphical utilities based on lattice |
| R-latticist | 0.9_44-lp154.1.10 | A graphical user interface for exploratory visualisation |
| R-latticist | 0.9_44-1.24 | A graphical user interface for exploratory visualisation |
| R-latticist | 0.9_44-1.51 | A graphical user interface for exploratory visualisation |
| R-latticist | 0.9_44-lp155.1.5 | A graphical user interface for exploratory visualisation |
| R-latticist | 0.9_44-lp153.1.23 | A graphical user interface for exploratory visualisation |
| R-lava | 1.8.0-lp153.2.2 | Latent Variable Models |
| R-lava | 1.2.6-lp154.1.10 | Linear Latent Variable Models |
| R-lava | 1.2.6-1.38 | Linear Latent Variable Models |
| R-lava | 1.2.6-1.28 | Linear Latent Variable Models |
| R-lava | 1.2.6-lp153.1.25 | Linear Latent Variable Models |
| R-lava | 1.2.6-lp155.1.5 | Linear Latent Variable Models |
| R-lavaan | 0.5_20-1.27 | Latent Variable Analysis |
| R-lavaan | 0.5_20-1.38 | Latent Variable Analysis |
| R-lavaan | 0.5_20-lp155.1.5 | Latent Variable Analysis |
| R-lavaan | 0.5_20-lp153.1.24 | Latent Variable Analysis |
| R-lavaan | 0.5_20-lp154.1.10 | Latent Variable Analysis |
| R-lavaan.survey | 1.1.3.1-lp153.6.7 | Complex Survey Structural Equation Modeling (SEM) |
| R-lavaanPlot | 0.8.1-lp153.5.2 | Path Diagrams for \'Lavaan\' Models via \'DiagrammeR\' |
| R-Lavash | 1.0-lp153.4.7 | Lava Estimation for the Sum of Sparse and Dense Signals |
| R-LAWBL | 1.5.0-lp153.1.9 | Latent (Variable) Analysis with Bayesian Learning |
| R-lawstat | 3.6-lp153.1.5 | Tools for Biostatistics, Public Policy, and Law |
| R-lax | 1.2.3-lp153.2.2 | Loglikelihood Adjustment for Extreme Value Models |
| R-lay | 0.1.3-lp153.1.4 | Simple but Efficient Rowwise Jobs |
| R-layer | 0.0.1-lp153.5.7 | Tilts your Maps and Turns Them into Ggplot Objects |
| R-lazy | 1.2.18-lp153.1.8 | Lazy Learning for Local Regression |
| R-lazybar | 0.1.0-lp153.3.12 | Progress Bar with Remaining Time Forecast Method |
| R-lazyData | 1.1.0-lp153.2.13 | A LazyData Facility |
| R-lazyeval | 0.2.1-lp155.1.5 | Lazy (Non-Standard) Evaluation |
| R-lazyeval | 0.2.1-lp153.1.27 | Lazy (Non-Standard) Evaluation |
| R-lazyeval | 0.2.1-1.38 | Lazy (Non-Standard) Evaluation |
| R-lazyeval | 0.2.2-lp153.2.13 | Lazy (Non-Standard) Evaluation |
| R-lazyeval | 0.2.1-lp154.1.10 | Lazy (Non-Standard) Evaluation |
| R-lazyeval | 0.2.1-1.36 | Lazy (Non-Standard) Evaluation |
| R-lazyeval-doc | 0.2.1-1.38 | Documentation for R-lazyeval |
| R-lazyeval-doc | 0.2.1-lp155.1.5 | Documentation for R-lazyeval |
| R-lazyeval-doc | 0.2.1-1.36 | Documentation for R-lazyeval |
| R-lazyeval-doc | 0.2.1-lp153.1.27 | Documentation for R-lazyeval |
| R-lazyeval-doc | 0.2.1-lp154.1.10 | Documentation for R-lazyeval |
| R-lazysql | 0.1.3-lp153.3.7 | Lazy SQL Programming |
| R-lazyWeave | 3.0.2-lp153.28.2 | LaTeX Wrappers for R Users |
| R-lba | 2.4.5-lp153.8.5 | Latent Budget Analysis for Compositional Data |
| R-LBC | 1.0-lp153.1.11 | Logistic Box Cox |
| R-lbiassurv | 1.1-lp153.3.11 | Length-biased correction to survival curve estimation. |
| R-lbm | 0.9.0.2-lp153.1.11 | Log Binomial Regression Model in Exact Method |
| R-lboxcox | 1.2-lp153.3.2 | Implementation of Logistic Box-Cox Regression |
| R-LBPG | 0.1.2-lp153.1.10 | The Length-Biased Power Garima Distribution |
| R-lbreg | 1.3-lp153.2.13 | Log-Binomial Regression with Constrained Optimization |
| R-LCA | 0.1.1-lp153.2.13 | Localised Co-Dependency Analysis |
| R-LCAextend | 1.3-lp153.32.2 | Latent Class Analysis (LCA) with Familial Dependence in Exte |
| R-LCAvarsel | 1.1-lp153.7.5 | Variable Selection for Latent Class Analysis |
| R-lcc | 1.1.4-lp153.4.5 | Longitudinal Concordance Correlation |
| R-LCCR | 1.3-lp153.1.11 | Latent Class Capture-Recapture Models |
| R-lcda | 0.3.2-lp153.1.4 | Latent Class Discriminant Analysis |
| R-LCF | 1.7.0-lp153.2.13 | Linear Combination Fitting |
| R-LCFdata | 2.0-lp153.2.13 | Data sets for package ``LMERConvenienceFunctions\'\' |
| R-lchemix | 0.1.0-lp153.4.11 | A Bayesian Multi-Dimensional Couple-Based Latent Risk Model |
| R-LCMCR | 0.4.14-lp153.1.4 | Bayesian Non-Parametric Latent-Class Capture-Recapture |
| R-lcmm | 2.1.0-lp153.1.5 | Extended Mixed Models Using Latent Classes and Latent Proces |
| R-LCox | 0.1.0-lp153.13.8 | A Tool for Selecting Genes Related to Survival Outcomes usin |
| R-lcpm | 0.1.1-lp153.3.7 | Ordinal Outcomes: Generalized Linear Models with the Log Lin |
| R-lcra | 1.1.5-lp153.2.2 | Bayesian Joint Latent Class and Regression Models |
| R-lcyanalysis | 1.0.4-lp153.3.5 | Stock Data Analysis Functions |
| R-lda | 1.4.2-1.28 | Collapsed Gibbs Sampling Methods for Topic Models |
| R-lda | 1.4.2-lp154.1.10 | Collapsed Gibbs Sampling Methods for Topic Models |
| R-lda | 1.4.2-lp155.1.5 | Collapsed Gibbs Sampling Methods for Topic Models |
| R-lda | 1.4.2-1.31 | Collapsed Gibbs Sampling Methods for Topic Models |
| R-lda | 1.4.2-lp153.1.23 | Collapsed Gibbs Sampling Methods for Topic Models |
| R-lda | 1.5.2-lp153.2.2 | Collapsed Gibbs Sampling Methods for Topic Models |
| R-ldaPrototype | 0.3.1-lp153.8.2 | Prototype of Multiple Latent Dirichlet Allocation Runs |
| R-LDATree | 0.1.2-lp153.6.2 | Classification Trees with Linear Discriminant Analysis at Te |
| R-LDAvis | 0.3.2-lp153.3.12 | Interactive Visualization of Topic Models |
| R-ldbod | 0.1.2-lp153.3.9 | Local Density-Based Outlier Detection |
| R-ldbounds | 2.0.2-lp153.1.4 | Lan-DeMets Method for Group Sequential Boundaries |
| R-LDcorSV | 1.3.3-lp153.2.13 | Linkage Disequilibrium Corrected by the Structure and the Re |
| R-LDlinkR | 1.4.0-lp153.2.2 | Calculating Linkage Disequilibrium (LD) in Human Population |
| R-LDPD | 1.1.2-lp153.2.13 | Probability of Default Calibration |
| R-ldr | 1.3.3-lp153.2.13 | Methods for likelihood-based dimension reduction in regressi |
| R-LDRTools | 0.2.2-lp153.1.5 | Tools for Linear Dimension Reduction |
| R-LDtests | 1.0-lp153.2.13 | Exact tests for Linkage Disequilibrium and Hardy-Weinberg Eq |
| R-leabRa | 0.1.0-lp153.4.7 | The Artificial Neural Networks Algorithm Leabra |
| R-leaderCluster | 1.5-lp153.1.5 | Leader Clustering Algorithm |
| R-LeafArea | 0.1.8-lp153.2.13 | Rapid Digital Image Analysis of Leaf Area |
| R-leafdown | 1.2.0-lp153.13.2 | Provides Drill Down Functionality for \'leaflet\' Choropleth |
| R-leafem | 0.2.3-lp153.5.2 | \'leaflet\' Extensions for \'mapview\' |
| R-leafgl | 0.1.1-lp153.27.2 | High-Performance \'WebGl\' Rendering for Package \'leaflet\' |
| R-leaflegend | 1.2.1-lp153.2.2 | Add Custom Legends to \'leaflet\' Maps |
| R-leaflet | 2.2.2-lp153.2.2 | Create Interactive Web Maps with the JavaScript \'Leaflet\' |
| R-leaflet.esri | 1.0.0-lp153.31.2 | \'ESRI\' Bindings for the \'leaflet\' Package |
| R-leaflet.extras | 2.0.0-lp153.1.2 | Extra Functionality for \'leaflet\' Package |
| R-leaflet.extras2 | 1.2.2-lp153.8.2 | Extra Functionality for \'leaflet\' Package |
| R-leaflet.minicharts | 0.6.2-lp153.23.2 | Mini Charts for Interactive Maps |
| R-leaflet.multiopacity | 0.1.1-lp153.9.5 | Leaflet Multiple Opacity Controls for R |
| R-leaflet.opacity | 0.1.0-lp153.9.5 | Opacity Controls for Leaflet Maps |
| R-leaflet.providers | 2.0.0-lp153.4.2 | Leaflet Providers |
| R-leafletCN | 0.2.1-lp153.22.5 | An R Gallery for China and Other Geojson Choropleth Map in L |
| R-leafletR | 0.4.0-lp153.3.13 | Interactive Web-Maps Based on the Leaflet JavaScript Library |
| R-leafpm | 0.1.0-lp153.30.2 | Leaflet Map Plugin for Drawing and Editing |
| R-leafR | 0.3.5-lp153.11.7 | Calculates the Leaf Area Index (LAD) and Other Related Funct |
| R-leafSTAR | 1.0-lp153.2.13 | Silhouette to Area Ratio of Tilted Surfaces |
| R-leafsync | 0.1.0-lp153.31.2 | Small Multiples for Leaflet Web Maps |
| R-leaftime | 0.2.0-lp153.31.2 | \'Leaflet-timeline\' Plugin for Leaflet |
| R-leakyIV | 0.0.1-lp153.2.2 | Leaky Instrumental Variables |
| R-leanpubr | 0.3.1-lp153.4.4 | \'Leanpub\' API Interface |
| R-LEANR | 1.4.9-lp153.7.4 | Finds \"Local Subnetworks\" Within an Interaction Network wh |
| R-LEAP | 0.2-lp153.2.13 | Constructing Gene Co-Expression Networks for Single-Cell RNA |
| R-LEAPFrOG | 1.0.7-lp153.2.13 | Likelihood Estimation of Admixture in Parents From Offspring |
| R-leaps | 2.9-2.30 | regression subset selection |
| R-leaps | 2.9-lp155.2.5 | regression subset selection |
| R-leaps | 3.2-lp153.1.2 | regression subset selection |
| R-leaps | 2.9-lp153.2.25 | regression subset selection |
| R-leaps | 2.9-lp154.2.10 | regression subset selection |
| R-leaps | 2.9-2.38 | regression subset selection |
| R-LearnBayes | 2.15.1-lp154.1.10 | Functions for Learning Bayesian Inference |
| R-LearnBayes | 2.15.1-1.24 | Functions for Learning Bayesian Inference |
| R-LearnBayes | 2.15.1-1.26 | Functions for Learning Bayesian Inference |
| R-LearnBayes | 2.15.1-lp153.1.25 | Functions for Learning Bayesian Inference |
| R-LearnBayes | 2.15.1-lp155.1.5 | Functions for Learning Bayesian Inference |
| R-LearnBayes | 2.15.1-lp153.2.13 | Functions for Learning Bayesian Inference |
| R-LearnClust | 1.1-lp153.2.7 | Learning Hierarchical Clustering Algorithms |
| R-LearnGeom | 1.5-lp153.2.13 | Learning Plane Geometry |
| R-learningr | 0.29.1-lp153.3.7 | Data and Functions to Accompany the Book \"Learning R\" |
| R-LearningRlab | 2.4-lp153.1.5 | Statistical Learning Functions |
| R-LearningStats | 0.1.0-lp153.15.2 | Elemental Descriptive and Inferential Statistics |
| R-learningtower | 1.0.1-lp153.1.7 | OECD PISA Datasets from 2000-2018 in an Easy-to-Use Format |
| R-learNN | 0.2.0-lp153.2.13 | Examples of Neural Networks |
| R-LearnPCA | 0.3.4-lp153.2.2 | Functions, Data Sets and Vignettes to Aid in Learning Princi |
| R-learnPopGen | 1.0.4-lp153.16.2 | Population Genetic Simulations & Numerical Analysis |
| R-learnPopGen | 1.0.4-lp154.16.1 | Population Genetic Simulations & Numerical Analysis |
| R-learnPopGen | 1.0.4-lp155.16.1 | Population Genetic Simulations & Numerical Analysis |
| R-learnr | 0.11.5-lp153.3.2 | Interactive Tutorials for R |
| R-learnrbook | 2.0.1-lp153.2.2 | Datasets and Code Examples from P. J. Aphalo\'s \"Learn R\" |
| R-LearnSL | 1.0.0-lp153.1.5 | Learn Supervised Classification Methods Through Examples and |
| R-learnstats | 0.1.1-lp153.17.9 | An Interactive Environment for Learning Statistics |
| R-leastcostpath | 1.8.7-lp153.4.5 | Modelling Pathways and Movement Potential Within a Landscape |
| R-ledger | 2.0.11-lp153.2.2 | Utilities for Importing Data from Plain Text Accounting File |
| R-leerSIECyL | 1.0.2-lp153.4.8 | Read Data from the SIE |
| R-legco | 0.1.4-lp153.7.8 | R Bindings for the Hong Kong Legislative Council API |
| R-legislatoR | 1.1.0-lp153.1.5 | Interface to the Comparative Legislators Database |
| R-lehdr | 1.1.3-lp153.2.2 | Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Fi |
| R-leiden | 0.4.3.1-lp153.2.4 | R Implementation of Leiden Clustering Algorithm |
| R-leiv | 2.0.7-lp153.3.13 | Bivariate Linear Errors-In-Variables Estimation |
| R-lemna | 1.0.1-lp153.1.4 | Lemna Ecotox Effect Model |
| R-lemon | 0.4.9-lp153.1.4 | Freshing Up your \'ggplot2\' Plots |
| R-lenght | 0.1.0-lp153.1.5 | Allow Misspellings of Length Function |
| R-lenses | 0.0.3-lp153.5.5 | Elegant Data Manipulation with Lenses |
| R-leontief | 0.3-lp153.1.2 | Input-Output Analysis |
| R-leptokurticMixture | 1.1-lp153.1.5 | Implements Parsimonious Finite Mixtures of Multivariate Elli |
| R-leri | 0.0.1-lp153.5.4 | Access Landscape Evaporative Response Index Raster Data |
| R-lero.lero | 0.2-lp153.2.13 | Generate \'Lero Lero\' Quotes |
| R-lest | 1.1.0-lp153.2.13 | Vectorised Nested if-else Statements Similar to CASE WHEN in |
| R-lestat | 1.9-lp153.2.13 | A Package for Learning Statistics |
| R-letsR | 5.0-lp153.1.4 | Data Handling and Analysis in Macroecology |
| R-lettervalue | 0.2.1-lp153.1.5 | Computing Letter Values |
| R-levitate | 0.2.0-lp153.1.5 | Fuzzy String Comparison |
| R-lexicon | 1.2.1-lp153.16.2 | Lexicons for Text Analysis |
| R-lexiconPT | 0.1.0-lp153.2.13 | Lexicons for Portuguese Text Analysis |
| R-LexisPlotR | 0.4.0-lp153.17.2 | Plot Lexis Diagrams for Demographic Purposes |
| R-lfactors | 1.0.4-lp153.2.13 | Factors with Levels |
| R-lfc | 0.2.3-lp153.1.5 | Log Fold Change Distribution Tools for Working with Ratios o |
| R-lfda | 1.1.3-lp153.3.7 | Local Fisher Discriminant Analysis |
| R-LFDR.MLE | 1.0.1-lp153.2.13 | Estimation of the Local False Discovery Rates by Type II Max |
| R-LFDR.MME | 1.0-lp153.2.13 | Estimating Local False Discovery Rates Using the Method of M |
| R-LFDREmpiricalBayes | 1.0-lp153.3.12 | Estimating Local False Discovery Rates Using Empirical Bayes |
| R-lfe | 3.0.0-lp153.2.2 | Linear Group Fixed Effects |
| R-lfstat | 0.9.12-lp153.13.2 | Calculation of Low Flow Statistics for Daily Stream Flow Dat |
| R-lg | 0.4.1-lp153.20.4 | Locally Gaussian Distributions: Estimation and Methods |
| R-lgarch | 0.6.2-lp153.2.13 | Simulation and Estimation of Log-GARCH Models |
| R-lgcp | 2.0-lp153.1.4 | Log-Gaussian Cox Process |
| R-LGDtoolkit | 0.2.0-lp153.6.2 | Collection of Tools for LGD Rating Model Development |
| R-LGEWIS | 1.1-lp153.4.7 | Tests for Genetic Association/Gene-Environment Interaction i |
| R-lglasso | 0.1.0-lp153.1.11 | Longitudinal Graphical Lasso |
| R-lgr | 0.4.4-lp153.1.8 | A Fully Featured Logging Framework |
| R-lgrdata | 0.1.1-lp153.2.13 | Example Datasets for a Learning Guide to R |
| R-lgtdl | 1.1.5-lp153.2.13 | A Set of Methods for Longitudinal Data Objects |
| R-lhmixr | 0.1.0-lp153.2.13 | Fit Sex-Specific Life History Models with Missing Classifica |
| R-lhs | 0.10-1.32 | Latin Hypercube Samples |
| R-lhs | 0.10-lp153.1.25 | Latin Hypercube Samples |
| R-lhs | 0.10-lp154.1.10 | Latin Hypercube Samples |
| R-lhs | 0.10-1.38 | Latin Hypercube Samples |
| R-lhs | 0.10-lp155.1.5 | Latin Hypercube Samples |
| R-libbib | 1.6.4-lp153.4.2 | Various Utilities for Library Science/Assessment and Catalog |
| R-libgeos | 3.11.1.2-lp153.1.4 | Open Source Geometry Engine (\'GEOS\') C API |
| R-LiblineaR.ACF | 1.94.2-lp153.2.13 | Linear Classification with Online Adaptation of Coordinate F |
| R-LibOPF | 2.6.2-lp153.1.7 | Design of Optimum-Path Forest Classifiers |
| R-libproj | 8.1.0.1-lp153.1.13 | Generic Coordinate Transformation Library (\'PROJ\') C API |
| R-librarian | 1.8.1-lp153.1.12 | Install, Update, Load Packages from CRAN, \'GitHub\', and \' |
| R-librarysnapshot | 0.1.2-lp153.2.13 | Library Snapshot for Packages and Dependencies in Use by Cur |
| R-libsoc | 0.7.3-lp153.1.11 | Read, Create and Write \'PharmML\' Standard Output (so) XML |
| R-LIC | 0.0.2-lp153.1.10 | The LIC Criterion for Optimal Subset Selection |
| R-LICORS | 0.2.0-lp153.4.11 | Light Cone Reconstruction of States - Predictive State Estim |
| R-lievens | 0.0.1-lp153.2.2 | Real-Time PCR Data Sets by Lievens et al. (2012) |
| R-lifecourse | 2.0-lp153.17.8 | Quantification of Lifecourse Fluidity |
| R-lifecycle | 1.0.1-1.12 | Manage the Life Cycle of your Package Functions |
| R-lifecycle | 1.0.1-1.11 | Manage the Life Cycle of your Package Functions |
| R-lifecycle | 1.0.1-lp153.1.11 | Manage the Life Cycle of your Package Functions |
| R-lifecycle | 1.0.1-lp155.1.5 | Manage the Life Cycle of your Package Functions |
| R-lifecycle | 1.0.1-lp154.1.10 | Manage the Life Cycle of your Package Functions |
| R-lifecycle | 1.0.4-lp153.1.4 | Manage the Life Cycle of your Package Functions |
| R-LifeInsuranceContracts | 0.0.6-lp153.5.2 | Framework for Traditional Life Insurance Contracts |
| R-LifeInsureR | 1.0.0-lp153.5.2 | Modelling Traditional Life Insurance Contracts |
| R-lifelogr | 0.1.0-lp153.21.2 | Life Logging |
| R-LifemapR | 1.1.1-lp153.2.2 | Data Visualisation on \'Lifemap\' Tree |
| R-lifeR | 1.0.2-lp153.2.2 | Identify Sites for Your Bird List |
| R-Lifertable | 0.0.1-lp153.2.2 | Life and Fertility Tables Specially for Insects |
| R-LifeTables | 1.0-lp153.2.13 | Two-Parameter HMD Model Life Table System |
| R-lift | 0.0.2-lp153.2.13 | Compute the Top Decile Lift and Plot the Lift Curve |
| R-liftLRD | 1.0.9-lp153.1.5 | Wavelet Lifting Estimators of the Hurst Exponent for Regular |
| R-liftr | 0.9.2-lp153.20.2 | Containerize R Markdown Documents for Continuous Reproducibi |
| R-LiftTest | 0.2.0-lp153.1.4 | A Bootstrap Proportion Test for Brand Lift Testing |
| R-lifx | 0.2.0-lp153.3.12 | Control \'LIFX\' Smart Light Bulbs |
| R-LightningR | 1.0.2-lp153.4.8 | Tools for Communication with Lightning-Viz Server |
| R-lightparser | 0.1.0-lp153.1.4 | From \'Rmarkdown\' and \'Quarto\' Files to Tibble and Back |
| R-lightr | 1.7.1-lp153.2.2 | Read Spectrometric Data and Metadata |
| R-lightsout | 0.3.2-lp153.3.2 | Implementation of the \'Lights Out\' Puzzle Game |
| R-liGP | 1.0.1-lp153.2.7 | Locally Induced Gaussian Process Regression |
| R-LIHKGr | 0.1.0-lp153.11.8 | Scrape Text Data from LIHKG |
| R-likelihood | 1.9-lp153.1.5 | Methods for Maximum Likelihood Estimation |
| R-likelihoodAsy | 0.51-lp153.2.13 | Functions for Likelihood Asymptotics |
| R-likelihoodExplore | 0.1.0-lp153.3.7 | Likelihood Exploration |
| R-lillies | 0.2.12-lp153.3.2 | Estimation of Life Years Lost |
| R-LIM | 1.4.7.1-lp153.1.4 | Linear Inverse Model Examples and Solution Methods |
| R-limexhub | 0.1.5-lp153.2.2 | Quantitative Trade Signals |
| R-liminal | 0.1.2-lp153.15.2 | Multivariate Data Visualization with Tours and Embeddings |
| R-limitplot | 1.2-lp153.2.13 | Jitter/CI Plot with Ordered Points Below the Limit of Detect |
| R-limma | 3.34.4-2.38 | Linear Models for Microarray Data |
| R-limma | 3.34.4-2.32 | Linear Models for Microarray Data |
| R-limma | 3.34.4-lp155.2.5 | Linear Models for Microarray Data |
| R-limma | 3.34.4-lp153.2.24 | Linear Models for Microarray Data |
| R-limma | 3.34.4-lp154.2.10 | Linear Models for Microarray Data |
| R-LimnoPalettes | 0.1.0-lp153.2.13 | A Limnology Themed Palette Generator |
| R-limonaid | 0.1.5-lp153.1.9 | Working with \'LimeSurvey\' Surveys and Responses |
| R-limorhyde | 1.0.1-lp153.1.11 | Differential Analysis of Rhythmic Transcriptome Data |
| R-limSolve | 1.5.7.1-lp153.1.4 | Solving Linear Inverse Models |
| R-lin.eval | 0.1.2-lp153.16.2 | Perform Polynomial Evaluation of Linearity |
| R-linbin | 0.1.3-lp153.1.13 | Binning and Plotting of Linearly Referenced Data |
| R-LinCal | 1.0.1-lp153.1.9 | Static Univariate Frequentist and Bayesian Linear Calibratio |
| R-LindenmayeR | 0.1.13-lp153.7.2 | Functions to Explore L-Systems (Lindenmayer Systems) |
| R-lindia | 0.10-lp153.1.5 | Automated Linear Regression Diagnostic |
| R-LindleyPowerSeries | 1.0.1-lp153.3.7 | Lindley Power Series Distribution |
| R-LindleyR | 1.1.0-lp153.3.10 | The Lindley Distribution and Its Modifications |
| R-linear.tools | 1.3.0-lp153.10.11 | Manipulate Formulas and Evaluate Marginal Effects |
| R-linearModel | 1.0.2-lp153.1.11 | Linear Model Functions |
| R-linearOrdering | 1.0.1-lp153.1.12 | Methods of Linear Ordering of Data |
| R-LinearRegressionMDE | 1.0-lp153.2.13 | Minimum Distance Estimation in Linear Regression Model |
| R-linemap | 0.3.0-lp153.2.4 | Line Maps |
| R-lineqGPR | 0.1.1-lp153.5.12 | Gaussian Process Regression Models with Linear Inequality Co |
| R-linERR | 1.0-lp153.2.13 | Linear Excess Relative Risk Model |
| R-lineupjs | 4.6.0-lp153.13.2 | \'HTMLWidget\' Wrapper of \'LineUp\' for Visual Analysis of |
| R-lingtypology | 1.1.17-lp153.3.2 | Linguistic Typology and Mapping |
| R-linguisticsdown | 1.2.0-lp153.19.2 | Easy Linguistics Document Writing with R Markdown |
| R-link | 2024.4.0-lp153.3.2 | Hyperlink Automatic Detection |
| R-Linkage | 0.9-lp153.5.5 | Clustering Communication Networks Using the Stochastic Topic |
| R-LinkageMapView | 2.1.2-lp153.2.13 | Plot Linkage Group Maps with Quantitative Trait Loci |
| R-linkcomm | 1.0.14-lp153.6.4 | Tools for Generating, Visualizing, and Analysing Link Commun |
| R-linkedInadsR | 0.1.0-lp153.1.8 | Access to \'LinkedIn\' Ads via the \'Windsor.ai\' API |
| R-LinkedMatrix | 1.4.0-lp153.2.13 | Column-Linked and Row-Linked Matrices |
| R-linkim | 0.1-lp153.2.13 | Linkage information based genotype imputation method |
| R-linkprediction | 1.0.0-lp153.16.4 | Link Prediction Methods |
| R-linkspotter | 1.3.0-lp153.17.2 | Bivariate Correlations Calculation and Visualization |
| R-linl | 0.0.5-lp153.10.2 | \'linl\' is not \'Letter\' |
| R-linLIR | 1.1-lp153.2.13 | linear Likelihood-based Imprecise Regression |
| R-linne | 0.0.2-lp153.15.2 | Convenient \'CSS\' |
| R-linpk | 1.1.2-lp153.2.7 | Generate Concentration-Time Profiles from Linear PK Systems |
| R-linprog | 0.9.4-lp153.1.11 | Linear Programming / Optimization |
| R-linprog | 0.9.2-lp154.1.11 | Linear Programming / Optimization |
| R-linprog | 0.9.2-lp153.1.56 | Linear Programming / Optimization |
| R-linprog | 0.9.2-1.28 | Linear Programming / Optimization |
| R-linprog | 0.9.2-lp155.1.5 | Linear Programming / Optimization |
| R-LinRegInteractive | 0.3.3-lp153.1.12 | Interactive Interpretation of Linear Regression Models |
| R-LINselect | 1.1.5-lp153.1.4 | Selection of Linear Estimators |
| R-lintools | 0.1.7-lp153.1.7 | Manipulation of Linear Systems of (in)Equalities |
| R-lintr | 2.0.0-lp153.1.23 | A Linter for R Code |
| R-lintr | 2.0.0-1.52 | A Linter for R Code |
| R-lintr | 2.0.0-1.24 | A Linter for R Code |
| R-lintr | 3.1.2-lp153.1.2 | A \'Linter\' for R Code |
| R-lipidmapsR | 1.0.4-lp153.1.8 | Lipid Maps Rest Service |
| R-LipidMS | 3.0.5-lp153.2.2 | Lipid Annotation for LC-MS/MS DDA or DIA Data |
| R-LipidMSdata | 1.0.0-lp153.2.13 | \'LipidMS\' Data |
| R-liqueueR | 0.0.1-lp153.2.13 | Implements Queue, PriorityQueue and Stack Classes |
| R-liquidSVM | 1.2.4-lp153.2.13 | A Fast and Versatile SVM Package |
| R-lira | 2.0.1-lp153.2.12 | LInear Regression in Astronomy |
| R-lisa | 0.1.2-lp153.11.5 | Color Palettes from Color Lisa |
| R-lisp | 0.1-lp153.2.13 | List-processing à la SRFI-1 |
| R-lisrelToR | 0.3-lp153.1.4 | Import Output from LISREL into R |
| R-listArray | 0.1.1-lp153.2.13 | Incomplete Array with Arbitrary R Objects as Indices |
| R-listarrays | 0.4.0-lp153.2.2 | A Toolbox for Working with R Arrays in a Functional Programm |
| R-listcomp | 0.4.1-lp153.2.5 | List Comprehensions |
| R-listcompr | 0.4.0-lp153.1.11 | List Comprehension for R |
| R-listdown | 0.5.7-lp153.6.2 | Create R Markdown from Lists |
| R-listenv | 0.9.1-lp153.1.4 | Environments Behaving (Almost) as Lists |
| R-listenv | 0.8.0-1.14 | Environments Behaving (Almost) as Lists |
| R-listenv | 0.8.0-1.16 | Environments Behaving (Almost) as Lists |
| R-listenv | 0.8.0-lp154.1.10 | Environments Behaving (Almost) as Lists |
| R-listenv | 0.8.0-lp153.1.14 | Environments Behaving (Almost) as Lists |
| R-listenv | 0.8.0-lp155.1.5 | Environments Behaving (Almost) as Lists |
| R-LIStest | 2.1-lp153.2.13 | Tests of independence based on the Longest Increasing Subseq |
| R-listr | 0.1.0-lp153.3.5 | Tools for Lists |
| R-listviewer | 4.0.0-lp153.6.2 | \'htmlwidget\' for Interactive Views of R Lists |
| R-listWithDefaults | 1.2.0-lp153.2.13 | List with Defaults |
| R-liteq | 1.1.0-lp153.9.4 | Lightweight Portable Message Queue Using \'SQLite\' |
| R-litRiddle | 1.0.0-lp153.1.5 | Dataset and Tools to Research the Riddle of Literary Quality |
| R-litteR | 1.0.0-lp153.13.2 | Litter Analysis |
| R-litterfitter | 0.1.3-lp153.1.5 | Fit a Collection of Curves to Single Cohort Decomposition Da |
| R-littler | 0.3.10-1.25 | R at the Command-Line via \'r\' |
| R-littler | 0.3.10-lp153.1.23 | R at the Command-Line via \'r\' |
| R-littler | 0.3.10-lp154.1.10 | R at the Command-Line via \'r\' |
| R-littler | 0.3.10-lp155.1.5 | R at the Command-Line via \'r\' |
| R-liureg | 1.1.2-lp153.2.13 | Liu Regression with Liu Biasing Parameters and Statistics |
| R-live | 1.5.13-lp153.23.2 | Local Interpretable (Model-Agnostic) Visual Explanations |
| R-livechatR | 0.1.0-lp153.13.7 | R Wrapper for LiveChat REST API |
| R-ljr | 1.4.0-lp153.2.13 | Logistic Joinpoint Regression |
| R-lle | 1.1-lp153.2.13 | Locally linear embedding |
| R-lllcrc | 1.2-lp153.2.13 | Local Log-linear Models for Capture-Recapture |
| R-llogistic | 1.0.3-lp153.2.13 | The L-Logistic Distribution |
| R-LLSR | 0.0.3.1-lp153.15.2 | Data Analysis of Liquid-Liquid Systems using R |
| R-lm.beta | 1.7.2-lp153.1.5 | Add Standardized Regression Coefficients to Linear-Model-Obj |
| R-lmboot | 0.0.1-lp153.2.12 | Bootstrap in Linear Models |
| R-lmDiallel | 1.0.1-lp153.2.2 | Linear Fixed/Mixed Effects Models for Diallel Crosses |
| R-lmds | 0.1.0-lp153.17.2 | Landmark Multi-Dimensional Scaling |
| R-lme4 | 1.1.23-lp154.1.10 | Linear Mixed-Effects Models using \'Eigen\' and S4 |
| R-lme4 | 1.1.23-lp153.1.32 | Linear Mixed-Effects Models using \'Eigen\' and S4 |
| R-lmec | 1.0-lp153.2.13 | Linear Mixed-Effects Models with Censored Responses |
| R-lmeInfo | 0.3.2-lp153.1.5 | Information Matrices for \'lmeStruct\' and \'glsStruct\' Obj |
| R-lmem.qtler | 0.1.1-lp153.5.11 | Linear Mixed Effects Models for QTL Mapping for Multienviron |
| R-lmeNB | 1.3-lp153.2.13 | Compute the Personalized Activity Index Based on a Negative |
| R-lmeNBBayes | 1.3.1-lp153.2.13 | Compute the Personalized Activity Index Based on a Flexible |
| R-lmeresampler | 0.2.4-lp153.7.2 | Bootstrap Methods for Nested Linear Mixed-Effects Models |
| R-lmerTest | 3.0.1-lp153.1.30 | Tests in Linear Mixed Effects Models |
| R-lmeSplines | 1.1.12-lp153.1.9 | Add Smoothing Spline Modelling Capability to `nlme` |
| R-lmf | 1.2.1-lp153.1.8 | Functions for Estimation and Inference of Selection in Age-S |
| R-LMfilteR | 0.1.3.1-lp153.1.7 | Filter Methods for Parameter Estimation in Linear and Non Li |
| R-lmhelprs | 0.3.0-lp153.1.4 | Helper Functions for Linear Model Analysis |
| R-lmkCHK | 1.0.0-lp153.6.13 | Tools to Visualize and Screen 2D/3D Landmark Data |
| R-lmls | 0.1.0-lp153.1.11 | Gaussian Location-Scale Regression |
| R-lmm | 1.4-lp153.1.5 | Linear mixed models |
| R-lmmot | 0.1.4-lp153.3.12 | Multiple Ordinal Tobit (MOT) Model |
| R-lmmpar | 0.1.0-lp153.5.9 | Parallel Linear Mixed Model |
| R-LMMstar | 1.1.0-lp153.2.2 | Repeated Measurement Models for Discrete Times |
| R-lmodel2 | 1.7.3-lp153.2.13 | Model II Regression |
| R-lmomco | 2.5.1-lp153.2.2 | L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoment |
| R-lmomPi | 0.6.6-lp153.2.2 | (Precipitation) Frequency Analysis and Variability with L-Mo |
| R-lmPerm | 2.1.0-lp153.2.13 | Permutation Tests for Linear Models |
| R-lmreg | 1.2-lp153.2.13 | Data and Functions Used in Linear Models and Regression with |
| R-lmridge | 1.2.2-lp153.1.7 | Linear Ridge Regression with Ridge Penalty and Ridge Statist |
| R-lmSubsets | 0.5.2-lp153.1.13 | Exact Variable-Subset Selection in Linear Regression |
| R-lmSupport | 2.9.13-lp153.18.11 | Support for Linear Models |
| R-lmtest | 0.9.36-lp154.1.10 | Testing Linear Regression Models |
| R-lmtest | 0.9.40-lp153.1.10 | Testing Linear Regression Models |
| R-lmtest | 0.9.36-lp153.1.25 | Testing Linear Regression Models |
| R-lmtest | 0.9.36-1.38 | Testing Linear Regression Models |
| R-lmtest | 0.9.36-1.34 | Testing Linear Regression Models |
| R-lmtest | 0.9.36-lp155.1.5 | Testing Linear Regression Models |
| R-lmtestrob | 0.1-lp153.1.5 | Outlier Robust Specification Testing |
| R-lmvar | 1.5.2-lp153.3.12 | Linear Regression with Non-Constant Variances |
| R-lmviz | 0.2.0-lp153.25.7 | A Package to Visualize Linear Models Features and Play with |
| R-lmw | 0.0.2-lp153.1.4 | Linear Model Weights |
| R-LN0SCIs | 0.1.5-lp153.2.13 | Simultaneous CIs for Ratios of Means of Log-Normal Populatio |
| R-lncDIFF | 1.0.0-lp153.2.13 | Long Non-Coding RNA Differential Expression Analysis |
| R-LncMod | 1.1-lp153.2.13 | Predicting Modulator and Functional/Survival Analysis |
| R-LncPath | 1.1-lp153.7.4 | Identifying the Pathways Regulated by LncRNA Sets of Interes |
| R-LNIRT | 0.5.1-lp153.1.13 | LogNormal Response Time Item Response Theory Models |
| R-LNPar | 0.1.0-lp153.1.5 | Estimation and Testing for a Lognormal-Pareto Mixture |
| R-loa | 0.2.45.4-lp153.2.13 | Lattice Options and Add-Ins |
| R-loadflux | 0.0.2-lp153.10.5 | Explore Intra-Event Suspended Sediment Dynamics |
| R-loadings | 0.5.1-lp153.2.2 | Loadings for Principal Component Analysis and Partial Least |
| R-loadr | 0.1.3-lp153.1.13 | Cleaner Workspaces with Shared Variable Environments |
| R-loadshaper | 1.1.1-lp153.1.9 | Producing Load Shape with Target Peak and Load Factor |
| R-LobsterCatch | 0.1.0-lp153.1.5 | Models the Capture Processes in American Lobster Trap Fisher |
| R-lobstr | 1.1.1-1.27 | Visualize R Data Structures with Trees |
| R-lobstr | 1.1.1-lp154.1.10 | Visualize R Data Structures with Trees |
| R-lobstr | 1.1.1-lp153.1.23 | Visualize R Data Structures with Trees |
| R-lobstr | 1.1.1-1.31 | Visualize R Data Structures with Trees |
| R-lobstr | 1.1.1-lp155.1.5 | Visualize R Data Structures with Trees |
| R-LocalControlStrategy | 1.4-lp153.1.7 | Local Control Strategy for Robust Analysis of Cross-Sectiona |
| R-localFDA | 1.0.0-lp153.2.13 | Localization Processes for Functional Data Analysis |
| R-localgauss | 0.41-lp153.7.5 | Estimating Local Gaussian Parameters |
| R-localICE | 0.1.1-lp153.13.5 | Local Individual Conditional Expectation |
| R-localModel | 0.5-lp153.8.7 | LIME-Based Explanations with Interpretable Inputs Based on C |
| R-localsolver | 2.3-lp153.2.19 | R API to LocalSolver |
| R-locaR | 0.1.2-lp153.2.5 | A Set of Tools for Sound Localization |
| R-locateip | 0.1.2-lp153.3.2 | Locate IP Addresses with \'ip-api\' |
| R-locatexec | 0.1.1-lp153.1.12 | Detection and Localization of Executable Files |
| R-locationgamer | 0.1.0-lp153.2.13 | Identification of Location Game Equilibria in Networks |
| R-locfdr | 1.1.8-lp153.2.13 | Computes Local False Discovery Rates |
| R-LocFDRPois | 1.0.0-lp153.11.11 | Functions for Performing Local FDR Estimation when Null and |
| R-locits | 1.7.7-lp153.2.4 | Test of Stationarity and Localized Autocovariance |
| R-Lock5Data | 3.0.0-lp153.1.12 | Datasets for \"Statistics: UnLocking the Power of Data\" |
| R-Lock5withR | 1.2.2-lp153.2.13 | Datasets for \'Statistics: Unlocking the Power of Data\' |
| R-locpol | 0.8.0-lp153.2.7 | Kernel Local Polynomial Regression |
| R-LOCUS | 1.0-lp153.1.8 | Low-Rank Decomposition of Brain Connectivity Matrices with U |
| R-loder | 0.2.1-lp153.2.7 | Dependency-Free Access to PNG Image Files |
| R-lodGWAS | 1.0.7-lp153.31.2 | Genome-Wide Association Analysis of a Biomarker Accounting f |
| R-lodi | 0.9.2-lp153.3.5 | Limit of Detection Imputation for Single-Pollutant Models |
| R-loe | 1.1-lp153.2.13 | Local Ordinal Embedding |
| R-loedata | 1.0.1-lp153.1.7 | Data Sets from \"Lectures on Econometrics\" by Chirok Han |
| R-loewesadditivity | 0.1.0-lp153.21.2 | Loewe\'s Additivity |
| R-log | 1.1.1-lp153.2.8 | Record Events and Issues |
| R-logbin | 2.0.5-lp153.3.11 | Relative Risk Regression Using the Log-Binomial Model |
| R-logcondens | 2.1.8-lp153.2.4 | Estimate a Log-Concave Probability Density from iid Observat |
| R-logcondens.mode | 1.0.1-lp153.5.12 | Compute MLE of Log-Concave Density on R with Fixed Mode, and |
| R-logcondiscr | 1.0.6-lp153.4.11 | Estimate a Log-Concave Probability Mass Function from Discre |
| R-logger | 0.3.0-lp153.2.2 | A Lightweight, Modern and Flexible Logging Utility |
| R-logging | 0.10.108-lp153.2.13 | R Logging Package |
| R-loggit | 2.1.1-lp153.1.13 | Modern Logging for the R Ecosystem |
| R-logib | 0.1.2-lp153.10.4 | Salary Analysis by the Swiss Federal Office for Gender Equal |
| R-logiBin | 0.3-lp153.2.13 | Binning Variables to Use in Logistic Regression |
| R-logicDT | 1.0.4-lp153.1.4 | Identifying Interactions Between Binary Predictors |
| R-LogicForest | 2.1.1-lp153.2.2 | Logic Forest |
| R-LOGICOIL | 0.99.0-lp153.2.13 | LOGICOIL: multi-state prediction of coiled-coil oligomeric s |
| R-LogicReg | 1.6.6-lp153.1.5 | Logic Regression |
| R-logihist | 1.0-lp153.14.5 | Combined Graphs for Logistic Regression |
| R-login | 0.9.3-lp153.2.2 | \'shiny\' Login Module |
| R-logistf | 1.21-3.29 | Firth\'s bias reduced logistic regression |
| R-logistf | 1.21-lp155.3.5 | Firth\'s bias reduced logistic regression |
| R-logistf | 1.21-lp153.3.23 | Firth\'s bias reduced logistic regression |
| R-logistf | 1.21-lp154.3.10 | Firth\'s bias reduced logistic regression |
| R-logistf | 1.21-3.52 | Firth\'s bias reduced logistic regression |
| R-logistic4p | 1.6-lp153.1.5 | Logistic Regression with Misclassification in Dependent Vari |
| R-LogisticCurveFitting | 0.1.0-lp153.1.9 | Logistic Curve Fitting by Rhodes Method |
| R-LogisticDx | 0.3-lp153.5.8 | Diagnostic Tests for Logistic Regression Models |
| R-logisticPCA | 0.2-lp153.14.5 | Binary Dimensionality Reduction |
| R-LogisticRCI | 1.1-lp153.1.11 | Linear and Logistic Regression-Based Reliable Change Index |
| R-logisticRR | 0.3.0-lp153.2.13 | Adjusted Relative Risk from Logistic Regression |
| R-logitFD | 1.0-lp153.8.4 | Functional Principal Components Logistic Regression |
| R-LogitNet | 0.1.1-lp153.2.13 | Infer network based on binary arrays using regularized logis |
| R-logitnorm | 0.8.39-lp153.1.4 | Functions for the Logitnormal Distribution |
| R-loglognorm | 1.0.2-lp153.1.9 | Double Log Normal Distribution Functions |
| R-logmult | 0.7.4-lp153.1.11 | Log-Multiplicative Models, Including Association Models |
| R-lognorm | 0.1.10-lp153.1.11 | Functions for the Lognormal Distribution |
| R-logNormReg | 0.5.0-lp153.1.11 | log Normal Linear Regression |
| R-logOfGamma | 0.0.1-lp153.2.13 | Natural Logarithms of the Gamma Function for Large Values |
| R-logr | 1.3.8-lp153.2.2 | Creates Log Files |
| R-LogrankA | 1.0-lp153.2.13 | Logrank Test for Aggregated Survival Data |
| R-LogrankPower | 1.0.0-lp153.4.12 | Log-Rank Test Power Calculation |
| R-LogRegEquiv | 0.1.5-lp153.1.11 | Logistic Regression Equivalence |
| R-logrx | 0.3.1-lp153.2.2 | A Logging Utility Focus on Clinical Trial Programming Workfl |
| R-logspline | 2.1.9-2.38 | Logspline density estimation routines |
| R-logspline | 2.1.22-lp153.2.2 | Routines for Logspline Density Estimation |
| R-logspline | 2.1.9-lp155.2.5 | Logspline density estimation routines |
| R-logspline | 2.1.9-2.31 | Logspline density estimation routines |
| R-logspline | 2.1.9-lp154.2.10 | Logspline density estimation routines |
| R-logspline | 2.1.9-lp153.2.23 | Logspline density estimation routines |
| R-lolR | 2.1-lp153.14.5 | Linear Optimal Low-Rank Projection |
| R-lomb | 2.5.0-lp153.2.2 | Lomb-Scargle Periodogram |
| R-long2lstmarray | 0.2.0-lp153.3.7 | Longitudinal Dataframes into Arrays for Machine Learning Tra |
| R-longCatEDA | 0.31-lp153.2.13 | Package for Plotting Categorical Longitudinal and Time-Serie |
| R-longclust | 1.5-lp153.1.4 | Model-Based Clustering and Classification for Longitudinal D |
| R-longitudinal | 1.1.13-lp153.1.11 | Analysis of Multiple Time Course Data |
| R-longitudinalANAL | 0.2-lp153.1.5 | Longitudinal Data Analysis |
| R-longitudinalcascade | 0.3.2.6-lp153.2.2 | Longitudinal Cascade |
| R-longitudinalData | 2.4.5-lp153.2.5 | Longitudinal Data |
| R-LongituRF | 0.9-lp153.7.2 | Random Forests for Longitudinal Data |
| R-longke | 0.1.0-lp153.5.2 | Nonparametric Predictive Model for Sparse and Irregular Long |
| R-longROC | 1.0-lp153.2.13 | Time-Dependent Prognostic Accuracy with Multiply Evaluated B |
| R-longurl | 0.3.3-lp153.2.12 | Expand Short \'URLs\' |
| R-loo | 2.2.0-1.36 | Efficient Leave-One-Out Cross-Validation and WAIC for Bayesi |
| R-loo | 2.2.0-lp153.1.23 | Efficient Leave-One-Out Cross-Validation and WAIC for Bayesi |
| R-loo | 2.2.0-1.24 | Efficient Leave-One-Out Cross-Validation and WAIC for Bayesi |
| R-lookout | 0.1.4-lp153.6.2 | Leave One Out Kernel Density Estimates for Outlier Detection |
| R-lookup | 1.0-lp153.1.13 | Functions Similar to VLOOKUP in Excel |
| R-lookupTable | 0.1-lp153.13.7 | Look-Up Tables using S4 |
| R-loon.data | 0.1.3-lp153.1.12 | Data Used to Illustrate \'Loon\' Functionality |
| R-loop | 1.1-lp153.2.13 | loop decomposition of weighted directed graphs for life cycl |
| R-LoopAnalyst | 1.2.7-lp153.2.2 | A Collection of Tools to Conduct Levins\' Loop Analysis |
| R-loopr | 1.0.1-lp153.1.13 | Uses an Archive to Amend Previous Stages of a Pipe using Cur |
| R-loose.rock | 1.2.0-lp153.4.11 | Tools for Survival Analysis and Data Science |
| R-lorad | 0.0.1.0-lp153.1.4 | Lowest Radial Distance Method of Marginal Likelihood Estimat |
| R-lorec | 0.6.1-lp153.2.13 | LOw Rand and sparsE Covariance matrix estimation |
| R-lorem | 1.0.0-lp153.4.2 | Generate Lorem Ipsum Text |
| R-lorentz | 1.1.1-lp153.2.2 | The Lorentz Transform in Relativistic Physics |
| R-lorenz | 0.1.0-lp153.28.2 | Tools for Deriving Income Inequality Estimates from Grouped |
| R-lori | 2.2.2-lp153.3.7 | Imputation of High-Dimensional Count Data using Side Informa |
| R-LotkasLaw | 0.0.1.0-lp153.2.13 | Runs Lotka\'s Law which is One of the Special Applications o |
| R-lotterybr | 0.2.0-lp153.1.2 | Lottery Datasets from Caixa Economica Federal |
| R-LowRankQP | 1.0.6-lp153.1.5 | Low Rank Quadratic Programming |
| R-lpacf | 1.0.1-lp153.4.4 | Local Partial Autocorrelation Function Estimation for Locall |
| R-LPBkg | 1.2-lp153.28.2 | Detecting New Signals under Background Mismodelling |
| R-lpbrim | 1.0.0-lp153.2.13 | LP-BRIM Bipartite Modularity |
| R-lpc | 1.0.2.1-lp153.2.13 | Lassoed Principal Components for Testing Significance of Fea |
| R-lpda | 1.0.1-lp153.1.5 | Linear Programming Discriminant Analysis |
| R-LPDynR | 1.0.4-lp153.1.4 | Land Productivity Dynamics Indicator |
| R-lphom | 0.3.5.5-lp153.2.2 | Ecological Inference by Linear Programming under Homogeneity |
| R-lpint | 2.1-lp153.1.10 | Local Polynomial Estimators of the Intensity Function and It |
| R-lpjmlkit | 1.0.11-lp153.1.5 | Toolkit for Basic LPJmL Handling |
| R-lpl | 0.11-lp153.1.12 | Local Partial Likelihood Estimation and Simultaneous Confide |
| R-lplyr | 0.1.12-lp153.2.13 | \'dplyr\' Verbs for Lists and Other Verbs for Data Frames |
| R-LPmerge | 1.7-lp153.2.13 | Merging Linkage Maps by Linear Programming |
| R-lpmodeler | 0.2.1-lp153.2.13 | Modeler for linear programs (LP) and mixed integer linear pr |
| R-LPower | 0.1.1-lp153.2.13 | Calculates Power, Sample Size, or Detectable Effect for Long |
| R-lpridge | 1.1.0-lp153.1.4 | Local Polynomial (Ridge) Regression |
| R-LPS | 1.0.16-lp153.1.12 | Linear Predictor Score, for Binary Inference from Multiple C |
| R-lpSolve | 5.6.10-2.36 | Interface to Lp_solve v. 5.5 to solve linear/integer program |
| R-lpSolve | 5.6.10-lp154.2.10 | Interface to Lp_solve v. 5.5 to solve linear/integer program |
| R-lpSolve | 5.6.10-2.38 | Interface to Lp_solve v. 5.5 to solve linear/integer program |
| R-lpSolve | 5.6.10-lp155.2.5 | Interface to Lp_solve v. 5.5 to solve linear/integer program |
| R-lpSolve | 5.6.10-lp153.2.26 | Interface to Lp_solve v. 5.5 to solve linear/integer program |
| R-LPStimeSeries | 1.0.5-lp153.2.13 | Learned Pattern Similarity and Representation for Time Serie |
| R-LPTime | 1.0.2-lp153.2.13 | LP Nonparametric Approach to Non-Gaussian Non-Linear Time Se |
| R-LPWC | 1.0.0-lp153.2.13 | Lag Penalized Weighted Correlation for Time Series Clusterin |
| R-LqG | 0.1.0-lp153.1.9 | Robust Group Variable Screening Based on Maximum Lq-Likeliho |
| R-lqmix | 1.0-lp153.1.4 | Linear Quantile Mixture Models |
| R-lqmm | 1.5.8-lp153.1.10 | Linear Quantile Mixed Models |
| R-LRcontrast | 1.0-lp153.4.7 | Dose Response Signal Detection under Model Uncertainty |
| R-lrd | 0.1.0-lp153.6.5 | A Package for Processing Lexical Response Data |
| R-LREP | 0.1.1-lp153.1.12 | Estimate and Test Exponential vs. Pareto Distributions |
| R-lrequire | 0.1.3-lp153.2.13 | Sources an R \"Module\" with Caching & Encapsulation, Return |
| R-lrgs | 0.5.4-lp153.2.13 | Linear Regression by Gibbs Sampling |
| R-LRMF3 | 0.1.0-lp153.1.11 | Low Rank Matrix Factorization S3 Objects |
| R-LRTH | 1.3-lp153.2.13 | A Likelihood Ratio Test Accounting for Genetic Heterogeneity |
| R-LS2W | 1.3.6-lp153.1.7 | Locally Stationary Two-Dimensional Wavelet Process Estimatio |
| R-lsa | 0.73.3-lp153.1.9 | Latent Semantic Analysis |
| R-LSAfun | 0.6.3-lp153.7.5 | Applied Latent Semantic Analysis (LSA) Functions |
| R-lsasim | 2.1.5-lp153.2.2 | Functions to Facilitate the Simulation of Large Scale Assess |
| R-lsbs | 0.1-lp153.5.4 | Bandwidth Selection for Level Sets and HDR Estimation |
| R-LSC | 0.1.5-lp153.4.11 | Local Statistical Complexity - Automatic Pattern Discovery i |
| R-LSD | 4.1.0-lp153.2.13 | Lots of Superior Depictions |
| R-lsdbc | 0.1.0-lp153.2.13 | Locally Scaled Density Based Clustering |
| R-LSDinterface | 1.2.1-lp153.10.5 | Interface Tools for LSD Simulation Results Files |
| R-LSDirf | 0.1.3-lp153.2.2 | Impulse-Response Function Analysis for Agent-Based Models |
| R-LSDsensitivity | 1.2.3-lp153.11.5 | Sensitivity Analysis Tools for LSD Simulations |
| R-lsdv | 1.1-lp153.2.19 | Least square dummy variable regression |
| R-LSE | 1.0.0-lp153.1.11 | Constrained Least Squares and Generalized QR Factorization |
| R-lsei | 1.3.0-lp153.2.13 | Solving Least Squares or Quadratic Programming Problems unde |
| R-lshorth | 0.1.6-lp153.2.13 | The Length of the Shorth |
| R-lsl | 0.5.6-lp153.17.2 | Latent Structure Learning |
| R-lsm | 0.2.1.4-lp153.1.2 | Estimation of the log Likelihood of the Saturated Model |
| R-lsmeans | 2.23-1.25 | Least-Squares Means |
| R-lsmeans | 2.23-1.55 | Least-Squares Means |
| R-lsmeans | 2.23-lp155.1.5 | Least-Squares Means |
| R-lsmeans | 2.30.0-lp153.7.7 | Least-Squares Means |
| R-lsmeans | 2.23-lp153.1.23 | Least-Squares Means |
| R-lsmeans | 2.23-lp154.1.10 | Least-Squares Means |
| R-LSMonteCarlo | 1.0-lp153.2.13 | American options pricing with Least Squares Monte Carlo meth |
| R-LSMRealOptions | 0.2.1-lp153.1.12 | Value American and Real Options Through LSM Simulation |
| R-lspartition | 0.4-lp153.16.7 | Nonparametric Estimation and Inference Procedures using Part |
| R-LSPFP | 1.0.3-lp153.8.7 | Lysate and Secretome Peptide Feature Plotter |
| R-lspline | 1.0.0-lp153.2.13 | Linear Splines with Convenient Parametrisations |
| R-lspls | 0.2.2-lp153.2.13 | LS-PLS Models |
| R-lsplsGlm | 1.0-lp153.2.13 | Classification using LS-PLS for Logistic Regression |
| R-lsr | 0.5.2-lp153.1.11 | Companion to \"Learning Statistics with R\" |
| R-LSRS | 0.2.0-lp153.2.13 | Land Surface Remote Sensing |
| R-lss2 | 1.1-lp153.4.11 | The Accelerated Failure Time Model to Right Censored Data Ba |
| R-LST | 1.1.0-lp153.5.4 | Land Surface Temperature Retrieval for Landsat 8 |
| R-LSTbook | 0.5.0-lp153.3.2 | Data and Software for \"Lessons in Statistical Thinking\" |
| R-LSVAR | 1.2-lp153.6.4 | Estimation of Low Rank Plus Sparse Structured Vector Auto-Re |
| R-LSWPlib | 0.1.0-lp153.2.2 | Simulation and Spectral Estimation of Locally Stationary Wav |
| R-LTAR | 0.1.0-lp153.3.2 | Tensor Forecasting Functions |
| R-ltbayes | 0.4-lp153.2.13 | Simulation-Based Bayesian Inference for Latent Traits of Ite |
| R-lterdatasampler | 0.1.1-lp153.1.5 | Educational Dataset Examples from the Long Term Ecological R |
| R-ltmix | 0.2.2-lp153.1.3 | Left-Truncated Mixtures of Gamma, Weibull, and Lognormal Dis |
| R-ltmle | 1.3.0-lp153.1.5 | Longitudinal Targeted Maximum Likelihood Estimation |
| R-LTPDvar | 1.2.1-lp153.1.9 | LTPD and AOQL Plans for Acceptance Sampling Inspection by Va |
| R-LTRCforests | 0.7.0-lp153.3.2 | Ensemble Methods for Survival Data with Time-Varying Covaria |
| R-ltsbase | 1.0.1-lp153.2.13 | Ridge and Liu Estimates based on LTS (Least Trimmed Squares) |
| R-ltxsparklines | 1.1.3-lp153.1.10 | Lightweight Sparklines for a LaTeX Document |
| R-lubridate | 1.7.8-lp153.1.25 | Make dealing with dates a little easier |
| R-lubridate | 1.7.8-1.40 | Make dealing with dates a little easier |
| R-lubridate | 1.7.8-1.34 | Make dealing with dates a little easier |
| R-lubridate | 1.9.3-lp153.1.5 | Make dealing with dates a little easier |
| R-luca | 1.0.6-lp153.1.11 | Likelihood Inference from Case-Control Data under Covariate |
| R-lucid | 1.8-lp153.1.13 | Printing Floating Point Numbers in a Human-Friendly Format |
| R-lue | 0.2.1-lp153.5.4 | Light Use Efficiency Model to Estimate Biomass and YIELD wit |
| R-lulcc | 1.0.4-lp153.6.2 | Land Use Change Modelling in R |
| R-lumberjack | 1.3.1-lp153.1.5 | Track Changes in Data |
| R-lunar | 0.2.1-lp153.1.9 | Calculate Lunar Phase & Distance, Seasons and Related Enviro |
| R-luz | 0.4.0-lp153.4.4 | Higher Level \'API\' for \'torch\' |
| R-luzlogr | 0.2.1-lp153.1.3 | Lightweight Logging for R Scripts |
| R-LVGP | 2.1.5-lp153.3.7 | Latent Variable Gaussian Process Modeling with Qualitative a |
| R-lvm4net | 0.3-lp153.21.5 | Latent Variable Models for Networks |
| R-lvmisc | 0.1.2-lp153.1.4 | Veras Miscellaneous |
| R-lvplot | 0.2.1-lp153.3.5 | Letter Value \'Boxplots\' |
| R-LW1949 | 1.1.0-lp153.2.13 | An Automated Approach to Evaluating Dose-Effect Experiments |
| R-lxb | 1.5-lp153.2.13 | Fast LXB File Reader |
| R-lymphclon | 1.3.0-lp153.2.13 | Accurate Estimation of Clonal Coincidences and Abundances fr |
| R-LZeroSpikeInference | 1.0.3-lp153.2.13 | Exact Spike Train Inference via L0 Optimization |
| R-M2SMF | 2.0-lp153.12.7 | Multi-Modal Similarity Matrix Factorization for Integrative |
| R-M2SMJF | 1.0-lp153.13.7 | Multi-Modal Similarity Matrix Joint Factorization |
| R-m5 | 0.1.1-lp153.5.2 | \'M5 Forecasting\' Challenges Data |
| R-m61r | 0.0.3-lp153.1.9 | Package About Data Manipulation in Pure Base R |
| R-maat | 1.1.0-lp153.5.5 | Multiple Administrations Adaptive Testing |
| R-maboost | 1.0.0-lp153.4.10 | Binary and Multiclass Boosting Algorithms |
| R-MAc | 1.1-1.26 | Meta-Analysis with Correlations |
| R-MAc | 1.1-lp153.1.25 | Meta-Analysis with Correlations |
| R-MAc | 1.1-lp154.1.10 | Meta-Analysis with Correlations |
| R-MAc | 1.1.1-lp153.2.13 | Meta-Analysis with Correlations |
| R-MAc | 1.1-lp155.1.5 | Meta-Analysis with Correlations |
| R-MAc | 1.1-1.38 | Meta-Analysis with Correlations |
| R-MACER | 0.2.1-lp153.3.7 | Molecular Acquisition, Cleaning, and Evaluation in R \'MACER |
| R-machina | 0.1.6-lp153.3.12 | Machina Time Series Generation and Backtesting |
| R-machQA | 0.1.4-lp153.3.12 | QA Machina Indicators |
| R-macleish | 0.3.9-lp153.11.3 | Retrieve Data from MacLeish Field Station |
| R-MAclinical | 1.0.5-lp153.5.11 | Class prediction based on microarray data and clinical param |
| R-maclogp | 0.1.1-lp153.1.12 | Measures of Uncertainty for Model Selection |
| R-macrocol | 0.1.0-lp153.8.2 | Colombian Macro-Financial Time Series Generator |
| R-macrosyntR | 0.3.3-lp153.2.4 | Draw Ordered Oxford Grids and Chord Diagrams |
| R-MacroZooBenthosWaterA | 0.1.0-lp153.1.5 | Fresh Water Quality Analysis Based on Macrozoobenthos |
| R-mactivate | 0.6.6-lp153.1.12 | Multiplicative Activation |
| R-MAd | 0.8_1-lp155.1.5 | Meta-Analysis with Mean Differences |
| R-MAd | 0.8.3-lp153.1.8 | Meta-Analysis with Mean Differences |
| R-MAd | 0.8_1-1.26 | Meta-Analysis with Mean Differences |
| R-MAd | 0.8_1-lp153.1.25 | Meta-Analysis with Mean Differences |
| R-MAd | 0.8_1-1.38 | Meta-Analysis with Mean Differences |
| R-MAd | 0.8_1-lp154.1.10 | Meta-Analysis with Mean Differences |
| R-mada | 0.5.11-lp153.2.5 | Meta-Analysis of Diagnostic Accuracy |
| R-maddison | 0.2-lp153.1.9 | The Maddison Project Database |
| R-madgrad | 0.1.0-lp153.6.4 | \'MADGRAD\' Method for Stochastic Optimization |
| R-maditr | 0.8.4-lp153.1.4 | Fast Data Aggregation, Modification, and Filtering with Pipe |
| R-madness | 0.2.8-lp153.1.5 | Automatic Differentiation of Multivariate Operations |
| R-madr | 1.0.0-lp153.2.13 | Model Averaged Double Robust Estimation |
| R-mads | 0.1.6-lp153.4.5 | Multi-Analysis Distance Sampling |
| R-madshapR | 1.1.0-lp153.2.2 | Support Technical Processes Following \'Maelstrom Research\' |
| R-madsim | 1.2.1-lp153.2.13 | A Flexible Microarray Data Simulation Model |
| R-Maeswrap | 1.7-lp153.16.5 | Wrapper Functions for MAESTRA/MAESPA |
| R-magclass | 6.13.2-lp153.1.4 | Data Class and Tools for Handling Spatial-Temporal Data |
| R-magic | 1.5.9-lp155.1.5 | Create and Investigate Magic Squares |
| R-magic | 1.6.1-lp153.1.7 | Create and Investigate Magic Squares |
| R-magic | 1.5.9-1.28 | Create and Investigate Magic Squares |
| R-magic | 1.5.9-lp153.1.57 | Create and Investigate Magic Squares |
| R-magic | 1.5.9-lp154.1.11 | Create and Investigate Magic Squares |
| R-magicaxis | 2.4.5-lp153.1.4 | Pretty Scientific Plotting with Minor-Tick and Log Minor-Tic |
| R-magicfor | 0.1.0-lp153.2.13 | Magic Functions to Obtain Results from for Loops |
| R-magickGUI | 1.3.1-lp153.1.5 | GUI Tools for Interactive Image Processing with \'magick\' |
| R-magicLamp | 0.1.0-lp153.11.5 | \'WeMo Switch\' Smart Plug Utilities |
| R-magmaR | 1.0.3-lp153.1.4 | R-Client for Interacting with the \'UCSF Data Library\' |
| R-magree | 1.2-lp153.1.4 | Implements the O\'Connell-Dobson-Schouten Estimators of Agre |
| R-magrittr | 2.0.1-lp154.1.10 | A Forward-Pipe Operator for R |
| R-magrittr | 2.0.1-lp153.1.28 | A Forward-Pipe Operator for R |
| R-magrittr | 2.0.1-1.23 | A Forward-Pipe Operator for R |
| R-magrittr | 2.0.1-1.36 | A Forward-Pipe Operator for R |
| R-magrittr | 2.0.1-lp155.1.5 | A Forward-Pipe Operator for R |
| R-magrittr | 2.0.3-lp153.1.10 | A Forward-Pipe Operator for R |
| R-maicChecks | 0.1.2-lp153.9.2 | Assessing the Numerical Feasibility for Conducting a Matchin |
| R-mail | 1.0-lp153.2.13 | Sending Email Notifications from R |
| R-mailchimpR | 0.1.0-lp153.1.7 | Get Mailchimp Data via the \'Windsor.ai\' API |
| R-mailmerge | 0.2.5-lp153.9.2 | Mail Merge Using R Markdown Documents and \'gmailr\' |
| R-mailtoR | 0.1.0-lp153.8.2 | Creates a Friendly User Interface for Emails Sending in \'sh |
| R-MainExistingDatasets | 1.0.1-lp153.7.7 | Main Existing Human Datasets |
| R-majesticR | 0.1.1-lp153.2.13 | R Interface to Access the \'Majestic\' API |
| R-MajKMeans | 0.1.0-lp153.2.13 | k-Means Algorithm with a Majorization-Minimization Method |
| R-MajMinKmeans | 0.1.0-lp153.2.2 | k-Means Algorithm with a Majorization-Minimization Method |
| R-makedummies | 1.2.1-lp153.11.5 | Create Dummy Variables from Categorical Data |
| R-MakefileR | 1.0-lp153.2.13 | Create \'Makefiles\' Using R |
| R-makeFlow | 1.0.2-lp153.13.7 | Visualizing Sequential Classifications |
| R-makeit | 1.0.1-lp153.1.4 | Run R Scripts if Needed |
| R-makePalette | 0.1.2-lp153.1.4 | Make Palette |
| R-makeProject | 1.0-lp153.2.13 | Creates an empty package framework for the LCFD format |
| R-makeunique | 1.0.0-lp153.1.8 | Make Character Strings Unique |
| R-MakeYourPalette | 0.1.3-lp153.2.7 | Make Your Palette |
| R-MAKL | 1.0.1-lp153.1.8 | Multiple Approximate Kernel Learning (MAKL) |
| R-malani | 1.0-lp153.3.13 | Machine Learning Assisted Network Inference |
| R-malariaAtlas | 1.0.1-lp153.15.7 | An R Interface to Open-Access Malaria Data, Hosted by the \' |
| R-malaytextr | 0.1.3-lp153.3.2 | Text Mining for Bahasa Malaysia |
| R-MALDIquant | 1.17-lp153.3.25 | Quantitative Analysis of Mass Spectrometry Data |
| R-MALDIquant | 1.17-3.38 | Quantitative Analysis of Mass Spectrometry Data |
| R-MALDIquant | 1.17-lp155.3.5 | Quantitative Analysis of Mass Spectrometry Data |
| R-MALDIquant | 1.17-lp154.3.10 | Quantitative Analysis of Mass Spectrometry Data |
| R-MALDIquant | 1.17-3.32 | Quantitative Analysis of Mass Spectrometry Data |
| R-MALDIquantForeign | 0.14.1-lp153.1.4 | Import/Export Routines for \'MALDIquant\' |
| R-MALDIquantForeign | 0.11.1-2.24 | Import/Export Routines for \'MALDIquant\' |
| R-MALDIquantForeign | 0.11.1-2.43 | Import/Export Routines for \'MALDIquant\' |
| R-MALDIquantForeign | 0.11.1-lp153.2.23 | Import/Export Routines for \'MALDIquant\' |
| R-MALDIrppa | 1.1.0.2-lp153.2.2 | MALDI Mass Spectrometry Data Robust Pre-Processing and Analy |
| R-malvinas | 0.1.0-lp153.1.10 | Islas Malvinas, Georgias Del Sur y Sándwich Del Sur |
| R-MAMSE | 0.2.1-lp153.2.13 | Calculation of Minimum Averaged Mean Squared Error (MAMSE) W |
| R-ManagedCloudProvider | 1.0.0-lp153.1.12 | Providing the Kubernetes-Like Functions for the Non-Kubernet |
| R-managelocalrepo | 0.1.5-lp153.7.2 | Manage a CRAN-Style Local Repository |
| R-MANCIE | 1.4-lp153.2.13 | Matrix Analysis and Normalization by Concordant Information |
| R-MandalaR | 0.1.0-lp153.2.5 | Building Mandalas from Parametric Equations of Classical Cur |
| R-mandelbrot | 0.2.0-lp153.7.2 | Generates Views on the Mandelbrot Set |
| R-manet | 2.0-lp153.9.4 | Multiple Allocation Model for Actor-Event Networks |
| R-mangoTraining | 1.1.1-lp153.6.5 | Mango Solutions Training Datasets |
| R-Mangrove | 1.21-lp153.2.13 | Risk Prediction on Trees |
| R-manhattanly | 0.3.0-lp153.22.2 | Interactive Q-Q and Manhattan Plots Using \'plotly.js\' |
| R-manhplot | 1.1-lp153.16.2 | The Manhattan++ Plot |
| R-manipulate | 1.0.1-lp153.2.13 | Interactive Plots for RStudio |
| R-manipulateWidget | 0.11.1-lp153.15.2 | Add Even More Interactivity to Interactive Charts |
| R-ManlyMix | 0.1.15-lp153.1.5 | Manly Mixture Modeling and Model-Based Clustering |
| R-MAnorm2 | 1.2.2-lp153.3.4 | Tools for Normalizing and Comparing ChIP-seq Samples |
| R-MANOVA.RM | 0.5.4-lp153.1.5 | Resampling-Based Analysis of Multivariate Data and Repeated |
| R-manta | 1.0.1-lp153.1.5 | Multivariate Asymptotic Non-Parametric Test of Association |
| R-manydata | 0.9.3-lp153.2.2 | A Portal for Global Governance Data |
| R-ManyTests | 1.2-lp153.2.13 | Multiple Testing Procedures of Cox (2011) and Wong and Cox ( |
| R-MaOEA | 0.6.2-lp153.12.2 | Many Objective Evolutionary Algorithm |
| R-MAP | 0.1.3-lp153.2.13 | Multimodal Automated Phenotyping |
| R-Map2NCBI | 1.4-lp153.3.12 | Mapping Markers to the Nearest Genomic Feature |
| R-mapaccuracy | 0.1.2-lp153.2.2 | Unbiased Thematic Map Accuracy and Area |
| R-mapboxer | 0.4.0-lp153.14.2 | An R Interface to \'Mapbox GL JS\' |
| R-mapcan | 0.0.1-lp153.16.7 | Tools for Plotting Canadian Choropleth Maps and Choropleth A |
| R-mapdata | 2.3.1-lp153.1.7 | Extra Map Databases |
| R-mapedit | 0.6.0-lp153.23.3 | Interactive Editing of Spatial Data in R |
| R-maple | 0.99.5-lp153.8.7 | Bayesian Analysis of Multi-Sample Spatial Transcriptomics Ex |
| R-maplegend | 0.1.0-lp153.1.5 | Legends for Maps |
| R-MAPLES | 1.0-lp153.2.13 | Smoothed age profile estimation |
| R-mapmisc | 2.1.0-lp153.2.2 | Utilities for Producing Maps |
| R-mappings | 0.1-lp153.1.12 | Functions for Transforming Categorical Variables |
| R-mapplots | 1.5.2-lp153.1.5 | Data Visualisation on Maps |
| R-mappp | 1.0.0-lp153.7.4 | Map in Parallel with Progress |
| R-mapproj | 1.2.11-lp153.1.7 | Map Projections |
| R-mapr | 0.5.2-lp153.23.5 | Visualize Species Occurrence Data |
| R-mapReasy | 1.0-lp153.23.5 | Producing Administrative Boundary Map with Additional Featur |
| R-maps | 3.4.2-lp153.1.4 | Draw Geographical Maps |
| R-mapsFinland | 0.2.2-lp153.1.5 | Maps of Finland |
| R-mapsPERU | 2.0.0-lp153.1.5 | Maps of Peru |
| R-mapsRinteractive | 2.0.1-lp153.1.5 | Local Adaptation and Evaluation of Raster Maps |
| R-mapStats | 3.1-lp153.3.2 | Geographic Display of Survey Data Statistics |
| R-maptiles | 0.7.0-lp153.1.4 | Download and Display Map Tiles |
| R-maptools | 0.9.9-1.31 | Tools for reading and handling spatial objects |
| R-maptools | 0.9.9-1.28 | Tools for reading and handling spatial objects |
| R-maptools | 0.9.9-lp153.1.23 | Tools for reading and handling spatial objects |
| R-maptools | 0.9.9-lp154.1.10 | Tools for reading and handling spatial objects |
| R-maptools | 1.1.8-lp153.1.5 | Tools for Handling Spatial Objects |
| R-maptpx | 1.9.7-lp153.2.13 | MAP Estimation of Topic Models |
| R-maptree | 1.4.8-lp153.1.10 | Mapping, pruning, and graphing tree models |
| R-mapview | 2.11.2-lp153.3.2 | Interactive Viewing of Spatial Data in R |
| R-mAr | 1.2.0-lp153.1.9 | Multivariate AutoRegressive Analysis |
| R-mar1s | 2.1.1-lp153.17.4 | Multiplicative AR(1) with Seasonal Processes |
| R-march | 3.3.2-lp153.3.13 | Markov Chains |
| R-marcher | 0.0.2-lp153.7.4 | Migration and Range Change Estimation in R |
| R-marelac | 2.1.11-lp153.1.5 | Tools for Aquatic Sciences |
| R-MareyMap | 1.3.7-lp153.1.4 | Estimation of Meiotic Recombination Rates Using Marey Maps |
| R-marg | 1.2.2.1-lp153.2.13 | Approximate Marginal Inference for Regression-Scale Models |
| R-marginalizedRisk | 2024.5.17-lp153.2.2 | Estimating Marginalized Risk |
| R-MarginalMediation | 0.7.2-lp153.9.2 | Marginal Mediation |
| R-marginalRisk | 2021.1.7-lp153.1.12 | Estimating Marginal Risk |
| R-marima | 2.2-lp154.1.10 | Multivariate ARIMA and ARIMA-X Analysis |
| R-marima | 2.2-lp153.2.13 | Multivariate ARIMA and ARIMA-X Analysis |
| R-marima | 2.2-1.25 | Multivariate ARIMA and ARIMA-X Analysis |
| R-marima | 2.2-lp153.1.23 | Multivariate ARIMA and ARIMA-X Analysis |
| R-marima | 2.2-1.36 | Multivariate ARIMA and ARIMA-X Analysis |
| R-marima | 2.2-lp155.1.5 | Multivariate ARIMA and ARIMA-X Analysis |
| R-marindicators | 1.0.0-lp153.2.12 | Marine Ecosystem and Fishing Pressure Indicators |
| R-markdown | 1.1-2.35 | Render Markdown with the C Library Sundown |
| R-markdown | 1.1-lp155.2.5 | Render Markdown with the C Library Sundown |
| R-markdown | 1.1-2.30 | Render Markdown with the C Library Sundown |
| R-markdown | 1.13-lp153.1.2 | Render Markdown with \'commonmark\' |
| R-markdown | 1.1-lp153.2.26 | Render Markdown with the C Library Sundown |
| R-markdown | 1.1-lp154.2.10 | Render Markdown with the C Library Sundown |
| R-markdownInput | 0.1.2-lp153.15.2 | Shiny Module for a Markdown Input with Result Preview |
| R-marketr | 0.0.2-lp153.16.2 | Tidy Calculation of Marketing Metrics Plus Quick Analysis |
| R-Markovchart | 2.1.5-lp153.10.2 | Markov Chain-Based Cost-Optimal Control Charts |
| R-markovMSM | 0.1.3-lp153.1.7 | Methods for Checking the Markov Condition in Multi-State Sur |
| R-MarkowitzR | 1.0.3-lp153.1.5 | Statistical Significance of the Markowitz Portfolio |
| R-marl | 1.0-lp153.2.13 | Multivariate Analysis Based on Relative Likelihoods |
| R-marmap | 1.0.10-lp153.3.4 | Import, Plot and Analyze Bathymetric and Topographic Data |
| R-MARMoT | 0.0.4-lp153.2.4 | Matching on Poset-Based Average Rank for Multiple Treatments |
| R-marp | 0.1.0-lp153.1.8 | Model-Averaged Renewal Process |
| R-marqLevAlg | 2.0.8-lp153.1.5 | A Parallelized General-Purpose Optimization Based on Marquar |
| R-marradistrees | 1.0-lp153.1.4 | Plots a Tree-Like Representation of a Numerical Variable (Ma |
| R-marray | 1.56.0-1.24 | Exploratory analysis for two-color spotted microarray data |
| R-marray | 1.56.0-lp155.1.5 | Exploratory analysis for two-color spotted microarray data |
| R-marray | 1.56.0-lp154.1.10 | Exploratory analysis for two-color spotted microarray data |
| R-marray | 1.56.0-lp153.1.23 | Exploratory analysis for two-color spotted microarray data |
| R-marray | 1.56.0-1.38 | Exploratory analysis for two-color spotted microarray data |
| R-MARSANNhybrid | 0.1.0-lp153.2.3 | MARS Based ANN Hybrid Model |
| R-MARSS | 3.11.9-lp153.1.4 | Multivariate Autoregressive State-Space Modeling |
| R-MARSSVRhybrid | 0.1.0-lp153.3.3 | MARS SVR Hybrid |
| R-MARVEL | 1.4.0-lp153.3.7 | Revealing Splicing Dynamics at Single-Cell Resolution |
| R-MARX | 0.2-lp153.2.13 | Simulation, Estimation, Model Selection and Forecasting for |
| R-maSAE | 2.0.3-lp153.1.12 | Mandallaz\' Model-Assisted Small Area Estimators |
| R-MaskJointDensity | 1.0-lp153.6.11 | Masking, Unmasking and Restoring Confidential Data |
| R-maskRangeR | 1.1-lp153.8.4 | Mask Species Geographic Ranges |
| R-mason | 0.3.0-lp153.16.5 | Build Data Structures for Common Statistical Analysis |
| R-MASS | 7.3.61-lp153.1.2 | Support Functions and Datasets for Venables and Ripley\'s MA |
| R-MASS | 7.3.60.2-50.1 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-194.138 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-lp154.192.1 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-194.138 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-50.0.2.1.sr20240605 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-56.163 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-56.163 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-lp155.192.1 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-192.1 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-lp153.192.1 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-50.1 | Package provides recommended R-MASS |
| R-MASS | 7.3.60.2-50.1 | Package provides recommended R-MASS |
| R-masscor | 0.0.7.1-lp153.1.12 | Mass Measurement Corrections |
| R-MASSExtra | 1.2.2-lp153.1.7 | Some \'MASS\' Enhancements |
| R-Massign | 1.1.0-lp153.2.13 | Simple Matrix Construction |
| R-massiveGST | 1.2.3-lp153.10.2 | Competitive Gene Sets Test with the Mann-Whitney-Wilcoxon Te |
| R-MASSTIMATE | 2.0.1-lp153.2.13 | Body Mass Estimation Equations for Vertebrates |
| R-MasterBayes | 2.53.1-lp153.1.23 | ML and MCMC Methods for Pedigree Reconstruction and Analysis |
| R-MasterBayes | 2.53.1-lp154.1.10 | ML and MCMC Methods for Pedigree Reconstruction and Analysis |
| R-MasterBayes | 2.53.1-1.30 | ML and MCMC Methods for Pedigree Reconstruction and Analysis |
| R-MasterBayes | 2.53.1-1.40 | ML and MCMC Methods for Pedigree Reconstruction and Analysis |
| R-MasterBayes | 2.58-lp153.4.7 | ML and MCMC Methods for Pedigree Reconstruction and Analysis |
| R-MasterBayes | 2.53.1-lp155.1.5 | ML and MCMC Methods for Pedigree Reconstruction and Analysis |
| R-MATA | 0.7.1-lp153.1.13 | Model-Averaged Tail Area (MATA) Confidence Interval and Dist |
| R-matahari | 0.1.3-lp153.13.5 | Spy on Your R Session |
| R-matchbook | 1.0.7-lp153.2.13 | Wrapper for the \'Matchbook\' API |
| R-matchFeat | 1.0-lp153.2.7 | One-to-One Feature Matching |
| R-MatchGATE | 0.0.10-lp153.2.2 | Estimate Group Average Treatment Effects with Matching |
| R-MatchLinReg | 0.8.1-lp153.16.2 | Combining Matching and Linear Regression for Causal Inferenc |
| R-matchmaker | 0.1.1-lp153.11.7 | Flexible Dictionary-Based Cleaning |
| R-matchr | 0.1.0-lp153.2.5 | Pattern Matching and Enumerated Types in R |
| R-matconv | 0.4.2-lp153.1.12 | A Code Converter from the Matlab/Octave Language to R |
| R-mathjaxr | 1.6.0-lp153.1.11 | Using \'Mathjax\' in Rd Files |
| R-mathpix | 0.6.0-lp153.1.4 | Support for the \'Mathpix\' API (Image to \'LaTeX\') |
| R-matie | 1.2-lp153.6.12 | Measuring Association and Testing Independence Efficiently |
| R-matlab2r | 1.5.0-lp153.1.7 | Translation Layer from MATLAB to R |
| R-matlabr | 1.5.2-lp153.7.2 | An Interface for MATLAB using System Calls |
| R-matlib | 0.9.6-lp153.6.5 | Matrix Functions for Teaching and Learning Linear Algebra an |
| R-MatManlyMix | 1.1.1-lp153.2.13 | Matrix Clustering with Gaussian and Manly Mixture Models |
| R-matpow | 0.1.2-lp153.1.10 | Matrix Powers |
| R-matR | 0.9.1-lp153.2.13 | Metagenomics Analysis Tools |
| R-matRiks | 0.1.3-lp153.1.4 | Generates Raven-Like Matrices According to Rules |
| R-matrisk | 0.1.0-lp153.1.5 | Macroeconomic-at-Risk |
| R-Matrix | 1.7.0-50.1 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-192.1 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-lp153.1.2 | Sparse and Dense Matrix Classes and Methods |
| R-Matrix | 1.7.0-lp155.192.1 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-lp153.192.1 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-50.1 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-194.138 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-194.138 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-50.1 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-56.163 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-56.163 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-lp154.192.1 | Package provides recommended R-Matrix |
| R-Matrix | 1.7.0-50.0.2.1.sr20240605 | Package provides recommended R-Matrix |
| R-Matrix.utils | 0.9.8-lp153.2.13 | Data.frame-Like Operations on Sparse and Dense Matrix Object |
| R-matrixcalc | 1.0_3-lp154.1.10 | Collection of functions for matrix calculations |
| R-matrixcalc | 1.0_3-1.38 | Collection of functions for matrix calculations |
| R-matrixcalc | 1.0_3-lp153.1.26 | Collection of functions for matrix calculations |
| R-matrixcalc | 1.0.6-lp153.1.8 | Collection of functions for matrix calculations |
| R-matrixcalc | 1.0_3-lp155.1.5 | Collection of functions for matrix calculations |
| R-matrixcalc | 1.0_3-1.28 | Collection of functions for matrix calculations |
| R-matrixcut | 0.0.1-lp153.5.4 | Determines Clustering Threshold Based on Similarity Values |
| R-MatrixEQTL | 2.3-lp153.2.13 | Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix Opera |
| R-matrixLaplacian | 1.0-lp153.2.13 | Normalized Laplacian Matrix and Laplacian Map |
| R-MatrixMixtures | 1.0.0-lp153.1.12 | Model-Based Clustering via Matrix-Variate Mixture Models |
| R-MatrixModels | 0.5.3-lp153.1.4 | Modelling with Sparse And Dense Matrices |
| R-matrixNormal | 0.1.1-lp153.1.8 | The Matrix Normal Distribution |
| R-matrixpls | 1.0.13-lp153.2.12 | Matrix-Based Partial Least Squares Estimation |
| R-matrixProfile | 0.5.0-lp153.1.11 | Matrix Profile |
| R-matrixsampling | 2.0.0-lp153.2.13 | Simulations of Matrix Variate Distributions |
| R-matrixStrucTest | 1.0.0-lp153.2.13 | Tests of Matrix Structure for Construct Validation |
| R-matrixTests | 0.2.3-lp153.1.5 | Fast Statistical Hypothesis Tests on Rows and Columns of Mat |
| R-matsbyname | 0.6.10-lp153.4.2 | An Implementation of Matrix Mathematics that Respects Row an |
| R-matsindf | 0.4.8-lp153.4.2 | Matrices in Data Frames |
| R-MatSkew | 0.1.5-lp153.2.13 | Matrix Skew-T Parameter Estimation |
| R-MATTOOLS | 1.1-lp153.2.13 | Modern Calibration Functions for the Modern Analog Technique |
| R-MatTransMix | 0.1.16-lp153.1.5 | Clustering with Matrix Gaussian and Matrix Transformation Mi |
| R-matuR | 0.0.1.0-lp153.18.2 | Athlete Maturation and Biobanding |
| R-mau | 0.1.2-lp153.16.4 | Decision Models with Multi Attribute Utility Theory |
| R-MAVIS | 1.1.3-lp153.10.12 | Meta Analysis via Shiny |
| R-MAVTgsa | 1.3-lp153.2.13 | Three methods to identify differentially expressed gene sets |
| R-MaXact | 0.2.1-lp153.3.9 | Exact max-type Cochran-Armitage trend test(CATT) |
| R-maxadjAUC | 0.1.0-lp153.10.11 | Maximizing the Adjusted AUC |
| R-maxcombo | 1.0-lp153.18.7 | The Group Sequential Max-Combo Test for Comparing Survival C |
| R-MaxentVariableSelection | 1.0.3-lp153.16.4 | Selecting the Best Set of Relevant Environmental Variables a |
| R-maximin | 1.0.5-lp153.2.2 | Space-Filling Design under Maximin Distance |
| R-maxLik | 1.5.2.1-lp153.2.2 | Maximum Likelihood Estimation and Related Tools |
| R-maxlike | 0.1.11-lp153.2.2 | Model Species Distributions by Estimating the Probability of |
| R-maxmatching | 0.1.0-lp153.7.4 | Maximum Matching for General Weighted Graph |
| R-maxnet | 0.1.4-lp153.3.7 | Fitting \'Maxent\' Species Distribution Models with \'glmnet |
| R-MaxSkew | 1.1-lp153.2.13 | Orthogonal Data Projections with Maximal Skewness |
| R-maxstat | 0.7.25-lp153.2.13 | Maximally Selected Rank Statistics |
| R-maxTPR | 0.1.0-lp153.2.13 | Maximizing the TPR for a Specified FPR |
| R-maybe | 1.1.0-lp153.1.5 | The Maybe Monad |
| R-mazealls | 0.2.0-lp153.2.13 | Generate Recursive Mazes |
| R-mazeGen | 0.1.3-lp153.7.4 | Elithorn Maze Generator |
| R-mazeinda | 0.0.2-lp153.1.9 | Monotonic Association on Zero-Inflated Data |
| R-mazing | 1.0.5-lp153.1.12 | Utilities for Making and Plotting Mazes |
| R-MB | 0.1.1-lp153.1.7 | The Use of Marginal Distributions in Conditional Forecasting |
| R-MBAnalysis | 2.0.2-lp153.1.5 | Multiblock Exploratory and Predictive Data Analysis |
| R-mbbe | 0.1.0-lp153.1.4 | Model Based Bio-Equivalence |
| R-MBC | 0.10.6-lp153.1.5 | Multivariate Bias Correction of Climate Model Outputs |
| R-MBCbook | 0.1.2-lp153.2.2 | Companion Package for the Book \"Model-Based Clustering and |
| R-MBCluster.Seq | 1.0-lp153.2.13 | Model-Based Clustering for RNA-seq Data |
| R-mbclusterwise | 1.0-lp153.10.5 | Clusterwise Multiblock Analyses |
| R-mbend | 1.3.1-lp153.2.13 | Matrix Bending |
| R-MBHdesign | 2.3.15-lp153.2.4 | Spatial Designs for Ecological and Environmental Surveys |
| R-MBI | 1.0-lp153.2.13 | (M)ultiple-site (B)iodiversity (I)ndices Calculator |
| R-mblm | 0.12.1-lp153.2.13 | Median-Based Linear Models |
| R-MBmca | 1.0.1.3-lp153.12.2 | Nucleic Acid Melting Curve Analysis |
| R-MBMethPred | 0.1.0-lp153.9.5 | Medulloblastoma Subgroups Prediction |
| R-mbmixture | 0.4-lp153.1.5 | Microbiome Mixture Analysis |
| R-MBNMAdose | 0.4.3-lp153.3.2 | Dose-Response MBNMA Models |
| R-MBNMAtime | 0.2.4-lp153.3.2 | Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Mo |
| R-mboxr | 0.2.0-lp153.17.7 | Reading, Extracting, and Converting an Mbox File into a Tibb |
| R-mbrdr | 1.1.1-lp153.1.11 | Model-Based Response Dimension Reduction |
| R-mbreaks | 1.0.0-lp153.1.7 | Estimation and Inference for Structural Breaks in Linear Reg |
| R-mbRes | 0.1.7-lp153.2.2 | Exploration of Multiple Biomarker Responses using Effect Siz |
| R-mbrglm | 0.0.1-lp153.2.13 | Median Bias Reduction in Binomial-Response GLMs |
| R-MBSGS | 1.1.0-lp153.5.9 | Multivariate Bayesian Sparse Group Selection with Spike and |
| R-MBSP | 4.0-lp153.1.5 | Multivariate Bayesian Model with Shrinkage Priors |
| R-mbsts | 3.0-lp153.2.2 | Multivariate Bayesian Structural Time Series |
| R-mc.heterogeneity | 0.1.2-lp153.25.2 | A Monte Carlo Based Heterogeneity Test for Meta-Analysis |
| R-MC2toPath | 0.0.16-lp153.1.12 | Translates information from netcdf files with MC2 output int |
| R-MCARtest | 1.0-lp153.6.7 | Optimal Nonparametric Testing of Missing Completely at Rando |
| R-mcauchyd | 1.0.2-lp153.2.5 | Multivariate Cauchy Distribution; Kullback-Leibler Divergenc |
| R-MCAvariants | 2.6.1-lp153.6.2 | Multiple Correspondence Analysis Variants |
| R-mcb | 0.1.15-lp153.17.2 | Model Confidence Bounds |
| R-MCBackscattering | 0.1.1-lp153.2.20 | Monte Carlo Simulation for Surface Backscattering |
| R-mcBFtest | 0.1.0-lp153.2.13 | Monte Carlo Based Tests for the Behrens Fisher Problem as an |
| R-mcbiopi | 1.1.6-lp153.2.13 | Matrix Computation Based Identification of Prime Implicants |
| R-mcc | 1.0-lp153.2.13 | Moment Corrected Correlation |
| R-mcca | 0.7.0-lp153.30.5 | Multi-Category Classification Accuracy |
| R-mccf1 | 1.1-lp153.14.5 | Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric an |
| R-mcclust | 1.0.1-lp153.1.9 | Process an MCMC Sample of Clusterings |
| R-MCCM | 0.1.0-lp153.2.2 | Mixed Correlation Coefficient Matrix |
| R-mccmeiv | 2.1-lp153.2.13 | Analysis of Matched Case Control Data with a Mismeasured Exp |
| R-mccr | 0.4.4-lp153.2.13 | The Matthews Correlation Coefficient |
| R-MCDM | 1.2-lp153.2.13 | Multi-Criteria Decision Making Methods for Crisp Data |
| R-mcgibbsit | 1.2.2-lp153.1.5 | Warnes and Raftery\'s \'MCGibbsit\' MCMC Run Length and Conv |
| R-mcGlobaloptim | 0.1-lp153.2.13 | Global optimization using Monte Carlo and Quasi Monte Carlo |
| R-mcheatmaps | 1.0.0-lp153.2.13 | Multiple matrices heatmap visualization |
| R-MChtest | 1.0.3-lp153.2.13 | Monte Carlo hypothesis tests with Sequential Stopping |
| R-MCI | 1.3.3-lp153.2.13 | Multiplicative Competitive Interaction (MCI) Model |
| R-MCID | 0.1.0-lp153.1.12 | Estimating the Minimal Clinically Important Difference |
| R-MCL | 1.0-lp153.2.13 | Markov Cluster Algorithm |
| R-mcll | 1.2-lp153.2.13 | Monte Carlo Local Likelihood Estimation |
| R-mclogit | 0.9.6-lp153.1.7 | Multinomial Logit Models, with or without Random Effects or |
| R-mclust | 4.4-lp154.2.10 | Normal Mixture Modeling for Model-Based Clustering, Classifi |
| R-mclust | 6.1.1-lp153.2.2 | Gaussian Mixture Modelling for Model-Based Clustering, Class |
| R-mclust | 4.4-2.33 | Normal Mixture Modeling for Model-Based Clustering, Classifi |
| R-mclust | 4.4-2.38 | Normal Mixture Modeling for Model-Based Clustering, Classifi |
| R-mclust | 4.4-lp155.2.5 | Normal Mixture Modeling for Model-Based Clustering, Classifi |
| R-mclust | 4.4-lp153.2.26 | Normal Mixture Modeling for Model-Based Clustering, Classifi |
| R-mcmc | 0.9.8-lp153.1.4 | Markov Chain Monte Carlo |
| R-MCMC.OTU | 1.0.10-lp153.15.7 | Bayesian Analysis of Multivariate Counts Data in DNA Metabar |
| R-MCMC.qpcr | 1.2.4-lp153.15.7 | Bayesian Analysis of qRT-PCR Data |
| R-MCMC4Extremes | 1.1-lp153.2.13 | Posterior Distribution of Extreme Value Models in R |
| R-mcmcderive | 0.1.2-lp153.7.7 | Derive MCMC Parameters |
| R-mcmcensemble | 3.1.0-lp153.2.2 | Ensemble Sampler for Affine-Invariant MCMC |
| R-MCMCglmm | 2.36-lp153.2.2 | MCMC Generalised Linear Mixed Models |
| R-MCMCglmm | 2.28-1.54 | MCMC Generalised Linear Mixed Models |
| R-MCMCglmm | 2.28-1.30 | MCMC Generalised Linear Mixed Models |
| R-MCMCglmm | 2.28-lp154.1.10 | MCMC Generalised Linear Mixed Models |
| R-MCMCglmm | 2.28-lp153.1.23 | MCMC Generalised Linear Mixed Models |
| R-MCMChybridGP | 5.4-lp153.2.13 | Hybrid Markov Chain Monte Carlo using Gaussian Processes |
| R-mcmcOutput | 0.1.3-lp153.1.7 | Functions to Store, Manipulate and Display Markov Chain Mont |
| R-mcmcplots | 0.4.3-lp153.4.13 | Create Plots from MCMC Output |
| R-mcmcr | 0.6.1-lp153.6.7 | Manipulate MCMC Samples |
| R-MCMCtreeR | 1.1-lp153.7.7 | Prepare MCMCtree Analyses and Plot Bayesian Divergence Time |
| R-mcMST | 1.1.1-lp153.4.5 | A Toolbox for the Multi-Criteria Minimum Spanning Tree Probl |
| R-mcompanion | 0.6-lp153.1.4 | Objects and Methods for Multi-Companion Matrices |
| R-MConjoint | 0.1-lp153.2.13 | Conjoint Analysis through Averaging of Multiple Analyses |
| R-mcount | 1.0.0-lp153.1.10 | Marginalized Count Regression Models |
| R-MCPAN | 1.1.21-lp153.5.7 | Multiple Comparisons Using Normal Approximation |
| R-mcparallelDo | 1.1.0-lp153.3.12 | A Simplified Interface for Running Commands on Parallel Proc |
| R-MCPMod | 1.0.10.1-lp153.2.13 | Design and Analysis of Dose-Finding Studies |
| R-MCPModBC | 1.1-lp153.1.5 | Improved Inference in Multiple Comparison Procedure – Mode |
| R-mcprofile | 1.0.1-lp153.7.5 | Testing Generalized Linear Hypotheses for Generalized Linear |
| R-MCPtests | 1.0.1-lp153.2.5 | Multiples Comparisons Procedures |
| R-mcr | 1.3.3-lp153.1.5 | Method Comparison Regression |
| R-mcreplicate | 0.1.2-lp153.1.12 | Multi-Core Replicate |
| R-MCS | 0.1.3-lp153.2.13 | Model Confidence Set Procedure |
| R-MCSim | 1.0-lp153.2.13 | Determine the Optimal Number of Clusters |
| R-mcsm | 1.0-lp153.2.13 | Functions for Monte Carlo Methods with R |
| R-McSpatial | 2.0-lp153.2.13 | Nonparametric spatial data analysis |
| R-mcStats | 0.1.2-lp153.17.2 | Visualize Results of Statistical Hypothesis Tests |
| R-mctest | 1.3.1-lp153.2.13 | Multicollinearity Diagnostic Measures |
| R-MCTM | 1.0-lp153.2.13 | Markov Chains Transition Matrices |
| R-mctq | 0.3.2-lp153.2.5 | Tools to Process the Munich ChronoType Questionnaire (MCTQ) |
| R-MCTrend | 1.0.1-lp153.2.2 | Monte Carlo Trend Analysis |
| R-mcwr | 1.0.0-lp153.1.12 | Markov Chains with Rewards |
| R-md | 1.0.4-lp153.2.13 | Selecting Bandwidth for Kernel Density Estimator with Minimu |
| R-md.log | 0.2.0-lp153.1.8 | Produces Markdown Log File with a Built-in Function Call |
| R-mda | 0.5.4-lp153.1.5 | Mixture and Flexible Discriminant Analysis |
| R-mdbr | 0.2.1-lp153.2.2 | Work with Microsoft Access Files |
| R-mddmaps | 1.3.0-lp153.2.2 | Download World Mammal Maps |
| R-mde | 0.3.2-lp153.7.2 | Missing Data Explorer |
| R-mded | 0.1.2-lp153.2.13 | Measuring the Difference Between Two Empirical Distributions |
| R-MDFS | 1.5.3-lp153.1.5 | MultiDimensional Feature Selection |
| R-mdftracks | 0.2.2-lp153.1.4 | Read and Write \'MTrackJ Data Files\' |
| R-mdhglm | 1.8-lp153.2.13 | Multivariate Double Hierarchical Generalized Linear Models |
| R-MDimNormn | 0.8.0-lp153.2.13 | Multi-Dimensional MA Normalization for Plate Effect |
| R-mdir.logrank | 0.0.4-lp153.2.13 | Multiple-Direction Logrank Test |
| R-MDOLS | 1.0-lp153.1.13 | Inference of Quadratic Functional for Moderate-Dimensional O |
| R-MDplot | 1.0.1-lp153.3.12 | Visualising Molecular Dynamics Analyses |
| R-MDPtoolbox | 4.0.3-lp153.2.13 | Markov Decision Processes Toolbox |
| R-mds | 0.3.2-lp153.12.7 | Medical Devices Surveillance |
| R-mdscore | 0.1.3-lp153.2.13 | Improved Score Tests for Generalized Linear Models |
| R-mdsdt | 1.2-lp153.4.9 | Functions for Analysis of Data with General Recognition Theo |
| R-MDSMap | 1.1-lp153.32.5 | High Density Genetic Linkage Mapping using Multidimensional |
| R-MDSS | 1.0.1-lp153.1.8 | Modeling Human Dentin Serial Sectioning |
| R-mdthemes | 0.1.0-lp153.11.3 | Markdown Themes for \'ggplot2\' |
| R-meanr | 0.1.6-lp153.1.4 | Sentiment Analysis Scorer |
| R-meanShiftR | 0.56-lp153.1.12 | A Computationally Efficient Mean Shift Implementation |
| R-meantables | 0.1.2-lp153.8.2 | Make Quick Descriptive Tables for Continuous Variables |
| R-measurementProtocol | 0.1.1-lp153.1.5 | Send Data from R to the Measurement Protocol |
| R-measurements | 1.5.1-lp153.1.5 | Tools for Units of Measurement |
| R-measures | 0.3-lp153.1.13 | Performance Measures for Statistical Learning |
| R-MEclustnet | 1.2.2-lp153.20.2 | Fit the Mixture of Experts Latent Position Cluster Model to |
| R-MED | 0.1.0-lp153.2.13 | Mediation by Tilted Balancing |
| R-MedDietCalc | 0.1.1-lp153.2.13 | Multi Calculator to Compute Scores of Adherence to Mediterra |
| R-mederrRank | 0.1.0-lp153.1.5 | Bayesian Methods for Identifying the Most Harmful Medication |
| R-medExtractR | 0.4.1-lp153.4.2 | Extraction of Medication Information from Clinical Text |
| R-mediacloudr | 0.1.0-lp153.12.4 | Wrapper for the \'mediacloud.org\' API |
| R-Mediana | 1.0.8-lp153.2.13 | Clinical Trial Simulations |
| R-mediateP | 0.2.0-lp153.1.11 | Mediation Analysis Based on the Product Method |
| R-medicaldata | 0.2.0-lp153.1.12 | Data Package for Medical Datasets |
| R-medicalrisk | 1.3-lp153.6.2 | Medical Risk and Comorbidity Tools for ICD-9-CM Data |
| R-medicare | 0.2.1-lp153.2.13 | Tools for Obtaining and Cleaning Medicare Public Use Files |
| R-meditate | 0.1.3-lp153.2.13 | Meditation Timer |
| R-meditations | 1.0.1-lp153.2.13 | Prints a Random Quote from Marcus Aurelius\' Book Meditation |
| R-MEDITS | 0.1.7-lp153.13.5 | Analysis of MEDITS-Like Survey Data |
| R-MedLEA | 1.0.2-lp153.1.5 | Morphological and Structural Features of Medicinal Leaves |
| R-medmod | 1.0.0-lp153.9.11 | Simple Mediation and Moderation Analysis |
| R-MedOr | 0.1-lp153.2.13 | Median Ordering Statistical R package |
| R-medparser | 0.1.0-lp153.2.2 | MedPC Text Parser |
| R-MedSurvey | 1.1.1.3.0-lp153.6.7 | Linear Mediation Analysis for Complex Surveys Using Balanced |
| R-meedr | 0.0.2-lp153.1.12 | Macroeconomic Expectations Data in R using the Central Bank |
| R-meerva | 0.2.2-lp153.9.2 | Analysis of Data with Measurement Error Using a Validation S |
| R-meetupapi | 0.1.0-lp153.15.7 | Access \'Meetup\' API |
| R-mefa | 3.2.9-lp153.2.2 | Multivariate Data Handling in Ecology and Biogeography |
| R-mefa4 | 0.3.11-lp153.2.2 | Multivariate Data Handling with S4 Classes and Sparse Matric |
| R-mefdind | 0.1-lp153.2.2 | Imports Data from MoE Spain |
| R-MEFM | 0.1.1-lp153.1.2 | Perform MEFM Estimation on Matrix Time Series |
| R-meifly | 0.3.1-lp153.2.7 | Interactive Model Exploration using \'GGobi\' |
| R-mekko | 0.1.0-lp153.14.5 | Variable Width Bar Charts: Bar Mekko |
| R-mem | 2.18-lp153.2.2 | The Moving Epidemic Method |
| R-memgene | 1.0.2-lp153.9.4 | Spatial Pattern Detection in Genetic Distance Data Using Mor |
| R-memify | 0.1.1-lp153.1.12 | Constructing Functions That Keep State |
| R-memo | 1.1.1-lp153.1.4 | In-Memory Caching of Repeated Computations (Memoization) |
| R-memofunc | 1.0.2-lp153.1.13 | Function Memoization |
| R-memoise | 1.1.0-1.29 | Memoisation of functions |
| R-memoise | 1.1.0-lp154.1.10 | Memoisation of functions |
| R-memoise | 1.1.0-1.28 | Memoisation of functions |
| R-memoise | 1.1.0-lp155.1.5 | Memoisation of functions |
| R-memoise | 1.1.0-lp153.1.25 | Memoisation of functions |
| R-memoise | 2.0.1-lp153.2.5 | \'Memoisation\' of Functions |
| R-memor | 0.2.3-lp153.19.2 | A \'rmarkdown\' Template that Can be Highly Customized |
| R-memuse | 4.2.3-lp153.1.7 | Memory Estimation Utilities |
| R-MEPDF | 3.0-lp153.3.7 | Creation of Empirical Density Functions Based on Multivariat |
| R-mergedblocks | 1.1.0-lp153.7.7 | Merged Block Randomization |
| R-mergingTools | 1.0.1-lp153.2.2 | Tools to Merge Hardware Event Monitors (HEMs) Coming from Se |
| R-merlin | 0.1.0-lp153.2.13 | Mixed Effects Regression for Linear, Non-Linear and User-Def |
| R-merror | 3.0-lp153.1.5 | Accuracy and Precision of Measurements |
| R-messaging | 0.1.0-lp153.16.2 | Conveniently Issue Messages, Warnings, and Errors |
| R-messydates | 0.4.1-lp153.2.2 | A Flexible Class for Messy Dates |
| R-Mestim | 0.2.1-lp153.2.7 | Computes the Variance-Covariance Matrix of Multidimensional |
| R-met | 0.1.0-lp153.2.12 | Evaluating and Improving Matched Samples in Observational St |
| R-meta.shrinkage | 0.1.4-lp153.1.5 | Meta-Analyses for Simultaneously Estimating Individual Means |
| R-meta4diag | 2.1.1-lp153.8.2 | Meta-Analysis for Diagnostic Test Studies |
| R-MetaAnalyser | 0.2.1-lp153.23.2 | An Interactive Visualisation of Meta-Analysis as a Physical |
| R-MetABEL | 0.2.0-lp153.2.13 | Meta-analysis of genome-wide SNP association results |
| R-metabias | 0.1.1-lp153.1.5 | Meta-Analysis for Within-Study and/or Across-Study Biases |
| R-metaBLUE | 1.0.0-lp153.2.13 | BLUE for Combining Location and Scale Information in a Meta- |
| R-metaboData | 0.6.3-lp153.11.2 | Example Metabolomics Data Sets |
| R-MetabolAnalyze | 1.3.1-lp153.3.12 | Probabilistic Latent Variable Models for Metabolomic Data |
| R-MetabolicSyndrome | 0.1.3-lp153.1.5 | Diagnosis of Metabolic Syndrome |
| R-metabolighteR | 0.1.3-lp153.5.8 | Interface to the \'Metabolights\' REST API |
| R-MetaboList | 2.0-lp153.13.11 | Annotation of Metabolites from Liquid Chromatography-Mass Sp |
| R-metabolomicsR | 1.0.0-lp153.7.5 | Tools for Metabolomics Data |
| R-MetaboLouise | 1.0.0-lp153.2.13 | METABOlomics LOngitudinal SimUlation Engine |
| R-MetaboQC | 1.1-lp153.2.7 | Normalize Metabolomic Data using QC Signal |
| R-metabup | 0.1.3-lp153.3.5 | Bayesian Meta-Analysis Using Basic Uncertain Pooling |
| R-metacom | 1.5.3-lp153.2.13 | Analysis of the \'Elements of Metacommunity Structure\' |
| R-MetaComp | 1.1.2-lp153.2.2 | EDGE Taxonomy Assignments Visualization |
| R-metaconfoundr | 0.1.2-lp153.5.2 | Visualize \'Confounder\' Control in Meta-Analyses |
| R-metacor | 1.0.2.1-lp153.2.13 | Meta-Analysis of Correlation Coefficients |
| R-metacore | 0.1.3-lp153.2.2 | A Centralized Metadata Object Focus on Clinical Trial Data P |
| R-MetaCycle | 1.2.0-lp153.2.13 | Evaluate Periodicity in Large Scale Data |
| R-metadat | 1.2.0-lp153.1.10 | Meta-Analysis Datasets |
| R-metaDigitise | 1.0.1-lp153.3.7 | Extract and Summarise Data from Published Figures |
| R-metafor | 1.9_4-1.24 | Meta-Analysis Package for R |
| R-metafor | 4.6.0-lp153.2.2 | Meta-Analysis Package for R |
| R-metafor | 1.9_4-1.38 | Meta-Analysis Package for R |
| R-metafor | 1.9_4-lp153.1.23 | Meta-Analysis Package for R |
| R-metafor | 1.9_4-lp154.1.10 | Meta-Analysis Package for R |
| R-metafor | 1.9_4-lp155.1.5 | Meta-Analysis Package for R |
| R-metaforest | 0.1.4-lp153.1.4 | Exploring Heterogeneity in Meta-Analysis using Random Forest |
| R-metafuse | 2.0.1-lp153.4.7 | Fused Lasso Approach in Regression Coefficient Clustering |
| R-metagam | 0.4.0-lp153.1.5 | Meta-Analysis of Generalized Additive Models |
| R-metagear | 0.7-lp153.8.2 | Comprehensive Research Synthesis Tools for Systematic Review |
| R-metaggR | 0.3.0-lp153.1.9 | Calculate the Knowledge-Weighted Estimate |
| R-metaheuristicOpt | 2.0.0-lp153.2.13 | Metaheuristic for Optimization |
| R-MetaIntegration | 0.1.2-lp153.7.5 | Ensemble Meta-Prediction Framework |
| R-MetaLandSim | 2.0.0-lp153.7.4 | Landscape and Range Expansion Simulation |
| R-metaLik | 0.43.0-lp153.2.13 | Likelihood Inference in Meta-Analysis and Meta-Regression Mo |
| R-metalite.ae | 0.1.2-lp153.2.2 | Adverse Events Analysis Using \'metalite\' |
| R-MetAlyzer | 0.1.0-lp153.11.5 | Read and Analyze \'MetIDQ™\' Software Output Files |
| R-metamedian | 1.1.1-lp153.4.2 | Meta-Analysis of Medians |
| R-metamer | 0.3.0-lp153.4.4 | Create Data with Identical Statistics |
| R-MetaNet | 0.1.2-lp153.2.2 | Network Analysis for Omics Data |
| R-MetaPCA | 0.1.4-lp153.1.13 | MetaPCA: Meta-analysis in the Dimension Reduction of Genomic |
| R-metaplot | 0.8.4-lp153.1.4 | Data-Driven Plot Design |
| R-metaplotr | 0.0.3-lp153.9.11 | Creates CrossHairs Plots for Meta-Analyses |
| R-metaplus | 0.7.11-lp153.3.12 | Robust Meta-Analysis and Meta-Regression |
| R-metapost | 1.0.6-lp153.2.13 | Interface to \'MetaPost\' |
| R-metaRMST | 1.0.0-lp153.5.9 | Meta-Analysis of RMSTD |
| R-metaRNASeq | 1.0.7-lp153.1.12 | Meta-Analysis of RNA-Seq Data |
| R-metaSDTreg | 0.2.2-lp153.1.5 | Regression Models for Meta Signal Detection Theory |
| R-metaSEM | 1.4.0-lp153.2.2 | Meta-Analysis using Structural Equation Modeling |
| R-MetaSubtract | 1.60-lp153.2.13 | Subtracting Summary Statistics of One or more Cohorts from M |
| R-metaSurvival | 0.1.0-lp153.2.13 | Meta-Analysis of a Single Survival Curve |
| R-metatest | 1.0.5-lp153.2.13 | Fit and Test Metaregression Models |
| R-metathis | 1.1.4-lp153.3.2 | HTML Metadata Tags for \'R Markdown\' and \'Shiny\' |
| R-Metatron | 0.1.1-lp153.4.11 | Meta-analysis for Classification Data and Correction to Impe |
| R-MetaUtility | 2.1.2-lp153.11.2 | Utility Functions for Conducting and Interpreting Meta-Analy |
| R-metavcov | 2.1.5-lp153.1.5 | Computing Variances and Covariances, Visualization and Missi |
| R-metawho | 0.2.0-lp153.20.2 | Meta-Analytical Implementation to Identify Who Benefits Most |
| R-MetBrewer | 0.2.0-lp153.6.5 | Color Palettes Inspired by Works at the Metropolitan Museum |
| R-meteo | 0.1.5-lp153.4.8 | Spatio-Temporal Analysis and Mapping of Meteorological Obser |
| R-meteoEVT | 0.1.0-lp153.3.7 | Computation and Visualization of Energetic and Vortical Atmo |
| R-meteoForecast | 0.56-lp153.2.4 | Numerical Weather Predictions |
| R-meteogRam | 1.0-lp153.9.11 | Tools for plotting meteograms |
| R-meteR | 1.2-lp153.3.13 | Fitting and Plotting Tools for the Maximum Entropy Theory of |
| R-MEtest | 1.1-lp153.2.13 | A Homogeneity Test under the Presence of Measurement Errors |
| R-MetFns | 3.2.2-lp153.3.12 | Analysis of Visual Meteor Data |
| R-MetGen | 0.5-lp153.4.7 | Stochastic Weather Generator |
| R-Meth27QC | 1.1-lp153.3.12 | Meth27QC: sample quality analysis, and sample control analys |
| R-MethComp | 1.30.0-lp153.2.12 | Analysis of Agreement in Method Comparison Studies |
| R-methcon5 | 0.1.0-lp153.14.7 | Identify and Rank CpG DNA Methylation Conservation Along the |
| R-methods | 4.4.1-194.138 | Package providing R-methods |
| R-methods | 4.4.1-50.1 | Package providing R-methods |
| R-methods | 4.4.1-56.163 | Package providing R-methods |
| R-methods | 4.4.1-lp155.192.1 | Package providing R-methods |
| R-methods | 4.4.1-192.1 | Package providing R-methods |
| R-methods | 4.4.1-lp154.192.1 | Package providing R-methods |
| R-methods | 4.4.1-56.163 | Package providing R-methods |
| R-methods | 4.4.1-194.138 | Package providing R-methods |
| R-methods | 4.4.1-50.1 | Package providing R-methods |
| R-methods | 4.4.1-lp153.192.1 | Package providing R-methods |
| R-methods | 4.4.1-50.1 | Package providing R-methods |
| R-methods | 4.4.1-50.0.2.1.sr20240605 | Package providing R-methods |
| R-Methplot | 1.0-lp153.9.11 | Visualize the methylation patterns |
| R-MetNorm | 0.1-lp153.2.13 | Statistical Methods for Normalizing Metabolomics Data |
| R-MeTo | 0.1.1-lp153.4.7 | Meteorological Tools |
| R-metools | 1.0.0-lp153.18.2 | Macroeconomics Tools |
| R-MetProc | 1.0.1-lp153.3.12 | Separate Metabolites into Likely Measurement Artifacts and T |
| R-metricminer | 0.5.1-lp153.3.2 | Mine Metrics from Common Places on the Web |
| R-Metrics | 0.1.4-lp153.2.13 | Evaluation Metrics for Machine Learning |
| R-metricsgraphics | 0.9.0-lp153.13.3 | Create Interactive Charts with the JavaScript \'MetricsGraph |
| R-MetricsWeighted | 1.0.3-lp153.1.4 | Weighted Metrics and Performance Measures for Machine Learni |
| R-metrix | 1.1.0-lp153.4.2 | Water Quality Metrics Calculator |
| R-metro | 0.9.3-lp153.2.2 | Washington Metropolitan Area Transit Authority API |
| R-metRology | 0.9.28.1-lp153.2.13 | Support for Metrological Applications |
| R-metropolis | 0.1.8-lp153.2.13 | The Metropolis algorithm |
| R-metScanR | 1.2.3-lp153.11.11 | Find, Map, and Gather Environmental Data and Metadata |
| R-metsyn | 0.1.2-lp153.14.2 | Interface with the Meteo France Synop Data API |
| R-mewAvg | 0.3.1-lp153.1.9 | A Fixed Memeory Moving Expanding Window Average |
| R-MexBrewer | 0.0.2-lp153.1.7 | Color Palettes Inspired by Works of Mexican Painters and Mur |
| R-mexicolors | 0.2.0-lp153.1.12 | Mexican Politics-Inspired Color Palette Generator |
| R-MF | 4.3.2-lp153.2.13 | Mitigated Fraction |
| R-mfaces | 0.1.4-lp153.1.8 | Fast Covariance Estimation for Multivariate Sparse Functiona |
| R-MFDFA | 1.1-lp153.2.13 | MultiFractal Detrended Fluctuation Analysis |
| R-mFDP | 0.1.0-lp153.1.8 | Flexible Control of the mFDP |
| R-mfe | 0.1.5-lp153.4.8 | Meta-Feature Extractor |
| R-MFHD | 0.0.1-lp153.15.11 | Multivariate Functional Halfspace Depth |
| R-mFilter | 0.1.5-lp153.2.13 | Miscellaneous time series filters |
| R-mFLICA | 0.1.6-lp153.1.2 | Leadership-Inference Framework for Multivariate Time Series |
| R-MFO | 0.1.0-lp153.11.2 | Maximal Fat Oxidation and Kinetics Calculation |
| R-mfp | 1.5.4.1-lp153.2.2 | Multivariable Fractional Polynomials |
| R-mfp2 | 1.0.0-lp153.1.4 | Multivariable Fractional Polynomial Models with Extensions |
| R-MFPCA | 1.3.10-lp153.5.5 | Multivariate Functional Principal Component Analysis for Dat |
| R-MFSIS | 0.2.1-lp153.2.2 | Model-Free Sure Independent Screening Procedures |
| R-MFT | 2.0-lp153.2.13 | The Multiple Filter Test for Change Point Detection |
| R-MfUSampler | 1.1.0-lp153.2.7 | Multivariate-from-Univariate (MfU) MCMC Sampler |
| R-mfx | 1.2.2-lp153.2.13 | Marginal Effects, Odds Ratios and Incidence Rate Ratios for |
| R-MG1StationaryProbability | 0.1.2-lp153.1.5 | Computes Stationary Distribution for M/G/1 Queuing System |
| R-mgarchBEKK | 0.0.5-lp153.4.5 | Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR) |
| R-MGBT | 1.0.7-lp153.1.12 | Multiple Grubbs-Beck Low-Outlier Test |
| R-mgc | 2.0.2-lp153.7.4 | Multiscale Graph Correlation |
| R-mgcv | 1.9.1-lp153.192.1 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-194.138 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-lp153.1.8 | Mixed GAM Computation Vehicle with Automatic Smoothness Esti |
| R-mgcv | 1.9.1-56.163 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-50.1 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-lp154.192.1 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-194.138 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-56.163 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-50.1 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-50.0.2.1.sr20240605 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-192.1 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-lp155.192.1 | Package provides recommended R-mgcv |
| R-mgcv | 1.9.1-50.1 | Package provides recommended R-mgcv |
| R-MGDrivE2 | 2.1.0-lp153.1.5 | Mosquito Gene Drive Explorer 2 |
| R-mgee2 | 0.5-lp153.1.4 | Marginal Analysis of Misclassified Longitudinal Ordinal Data |
| R-mggd | 1.1.0-lp153.2.5 | Multivariate Generalised Gaussian Distribution; Kullback-Lei |
| R-MGL | 1.1-lp153.2.13 | Module Graphical Lasso |
| R-mglasso | 0.1.2-lp153.5.7 | Multiscale Graphical Lasso |
| R-MGLM | 0.2.1-lp153.1.10 | Multivariate Response Generalized Linear Models |
| R-MGMS2 | 1.0.2-lp153.3.12 | \'MGMS2\' for Polymicrobial Samples |
| R-mgpd | 1.99-lp153.4.11 | mgpd: Functions for multivariate generalized Pareto distribu |
| R-MGPSDK | 1.0.0-lp153.1.5 | Interact with the Maxar \'MGP\' Application Programming Inte |
| R-mgpStreamingSDK | 0.2.0-lp153.1.5 | Interact with the Maxar MGP Streaming API |
| R-MGRASTer | 0.9-lp153.2.13 | API Client for the MG-RAST Server of the US DOE KBase |
| R-MGSDA | 1.6.1-lp153.1.5 | Multi-Group Sparse Discriminant Analysis |
| R-mgsub | 1.7.3-lp153.1.12 | Safe, Multiple, Simultaneous String Substitution |
| R-mgwnbr | 0.2.0-lp153.2.2 | Multiscale Geographically Weighted Negative Binomial Regress |
| R-MHadaptive | 1.1.8-lp153.2.13 | General Markov Chain Monte Carlo for Bayesian Inference usin |
| R-mhcnuggetsr | 1.1-lp153.16.2 | Call MHCnuggets |
| R-MHCtools | 1.5.3-lp153.2.2 | Analysis of MHC Data in Non-Model Species |
| R-mHG | 1.1-lp153.2.13 | Minimum-Hypergeometric Test |
| R-mhsmm | 0.4.21-lp153.1.5 | Inference for Hidden Markov and Semi-Markov Models |
| R-mhtboot | 1.3.3-lp153.16.2 | Multiple Hypothesis Test Based on Distribution of p Values |
| R-MHTcop | 0.1.1-lp153.2.12 | Tests Controlling the FDR / FWER under Certain Copula Models |
| R-MHTdiscrete | 1.0.1-lp153.2.13 | Multiple Hypotheses Testing for Discrete Data |
| R-MHTmult | 0.1.0-lp153.2.13 | Multiple Hypotheses Testing for Multiple Families/Groups Str |
| R-MHTrajectoryR | 1.0.1-lp153.2.13 | Bayesian Model Selection in Logistic Regression for the Dete |
| R-MIAmaxent | 1.2.0-lp153.17.4 | A Modular, Integrated Approach to Maximum Entropy Distributi |
| R-micar | 1.1.2-lp153.1.13 | \'Mica\' Data Web Portal Client |
| R-mice | 2.25-lp153.2.23 | Multivariate Imputation by Chained Equations |
| R-mice | 2.25-2.31 | Multivariate Imputation by Chained Equations |
| R-mice | 2.25-2.58 | Multivariate Imputation by Chained Equations |
| R-mice | 2.25-lp154.2.10 | Multivariate Imputation by Chained Equations |
| R-mice | 2.25-lp155.2.5 | Multivariate Imputation by Chained Equations |
| R-micEcon | 0.6.16-lp153.4.11 | Microeconomic Analysis and Modelling |
| R-micEconAids | 0.6.20-lp153.1.9 | Demand Analysis with the Almost Ideal Demand System (AIDS) |
| R-micEconCES | 1.0.0-lp153.15.11 | Analysis with the Constant Elasticity of Substitution (CES) |
| R-micEconIndex | 0.1.8-lp153.1.9 | Price and Quantity Indices |
| R-micemd | 1.8.0-lp153.14.5 | Multiple Imputation by Chained Equations with Multilevel Dat |
| R-michelRodange | 1.0.0-lp153.2.13 | The Works (in Luxembourguish) of Michel Rodange |
| R-micompr | 1.1.4-lp153.1.5 | Multivariate Independent Comparison of Observations |
| R-miCoPTCM | 1.1-lp153.2.13 | Promotion Time Cure Model with Mis-Measured Covariates |
| R-microbats | 0.1.1-lp153.2.13 | An implementation of Bat Algorithm in R |
| R-microbenchmark | 1.4_2.1-3.87 | Sub microsecond accurate timing functions |
| R-microbenchmark | 1.4_2.1-lp153.3.23 | Sub microsecond accurate timing functions |
| R-microbenchmark | 1.4_2.1-3.29 | Sub microsecond accurate timing functions |
| R-microcontax | 1.2-lp153.16.2 | The ConTax Data Package |
| R-MicroDatosEs | 0.8.15-lp153.1.4 | Utilities for Official Spanish Microdata |
| R-microdemic | 0.6.0-lp153.9.8 | \'Microsoft Academic\' API Client |
| R-MicroMacroMultilevel | 0.4.0-lp153.2.13 | Micro-Macro Multilevel Modeling |
| R-micromapST | 1.1.3-lp153.1.9 | Linked Micromap Plots for U. S. and Other Geographic Areas |
| R-MicroMoB | 0.1.2-lp153.1.7 | Discrete Time Simulation of Mosquito-Borne Pathogen Transmis |
| R-micromodal | 1.0.0-lp153.4.2 | Create Simple and Elegant Modal Dialogs in \'shiny\' |
| R-MicroNiche | 1.0.0-lp153.15.2 | Microbial Niche Measurements |
| R-micronutr | 0.1.1-lp153.2.2 | Determining Vitamin and Mineral Status of Populations |
| R-micropan | 2.1-lp153.16.4 | Microbial Pan-Genome Analysis |
| R-microservices | 0.2.0-lp153.4.7 | Breakdown a Monolithic Application to a Suite of Services |
| R-Microsoft365R | 2.4.0-lp153.1.5 | Interface to the \'Microsoft 365\' Suite of Cloud Services |
| R-microSTASIS | 0.1.0-lp153.6.7 | Microbiota STability ASsessment via Iterative cluStering |
| R-microsynth | 2.0.44-lp153.3.2 | Synthetic Control Methods with Micro- And Meso-Level Data |
| R-MicSim | 2.0.1-lp153.1.4 | Performing Continuous-Time Microsimulation |
| R-MICsplines | 1.0-lp153.1.12 | The Computing of Monotonic Spline Bases and Constrained Leas |
| R-micsr | 0.1.1-lp153.1.4 | Microeconometrics with R |
| R-midas | 1.0.1-lp153.14.2 | Turn HTML \'Shiny\' |
| R-midas2 | 1.1.0-lp153.3.2 | Bayesian Platform Design with Subgroup Efficacy Exploration( |
| R-midasml | 0.1.10-lp153.4.7 | Estimation and Prediction Methods for High-Dimensional Mixed |
| R-midastouch | 1.3-lp153.2.13 | Multiple Imputation by Distance Aided Donor Selection |
| R-midfieldr | 1.0.2-lp153.2.2 | Tools and Methods for Working with MIDFIELD Data in \'R\' |
| R-midi | 0.1.0-lp153.2.2 | Microstructure Information from Diffusion Imaging |
| R-MIDN | 1.0-lp153.2.13 | Nearly Exact Sample Size Calculation for Exact Powerful Nonr |
| R-midrangeMCP | 3.1.1-lp153.2.5 | Multiples Comparisons Procedures Based on Studentized Midran |
| R-MigConnectivity | 0.4.7-lp153.3.2 | Estimate Migratory Connectivity for Migratory Animals |
| R-migest | 2.0.4-lp153.2.2 | Methods for the Indirect Estimation of Bilateral Migration |
| R-migration.indices | 0.3.1-lp153.1.9 | Migration Indices |
| R-MigrationDetectR | 0.1.1-lp153.2.2 | Segment-Based Migration Detection Algorithm |
| R-MIICD | 2.4-lp153.8.11 | Multiple Imputation for Interval Censored Data |
| R-MILC | 1.0-lp153.2.13 | MIcrosimulation Lung Cancer (MILC) model |
| R-mildsvm | 0.4.0-lp153.8.2 | Multiple-Instance Learning with Support Vector Machines |
| R-mime | 0.8-lp155.1.5 | Map filenames to MIME types |
| R-mime | 0.8-1.35 | Map filenames to MIME types |
| R-mime | 0.8-lp153.1.28 | Map filenames to MIME types |
| R-mime | 0.12-lp153.1.12 | Map filenames to MIME types |
| R-mime | 0.8-lp154.1.10 | Map filenames to MIME types |
| R-mime | 0.8-1.28 | Map filenames to MIME types |
| R-MiMIR | 1.5-lp153.3.2 | Metabolomics-Based Models for Imputing Risk |
| R-mimiSBM | 0.0.1.3-lp153.1.4 | Mixture of Multilayer Integrator Stochastic Block Models |
| R-MImix | 1.0-lp153.2.13 | Mixture summary method for multiple imputation |
| R-MIMSunit | 0.11.2-lp153.12.2 | Algorithm to Compute Monitor Independent Movement Summary Un |
| R-minb | 0.1.0-lp153.1.5 | Multiple-Inflated Negative Binomial Model |
| R-MinBAR | 1.1.3-lp153.24.5 | Determining the Minimal Background Area for Species Distribu |
| R-mindicador | 0.1.5-lp153.1.13 | Indicadores Economicos de Chile (Economic Outlook for Chile) |
| R-MindOnStats | 0.11-lp153.2.13 | Data sets included in Utts and Heckard\'s Mind on Statistics |
| R-mindr | 1.3.2-lp153.8.5 | Generate Mind Maps with R |
| R-mineCitrus | 1.0.0-lp153.14.5 | Extract and Analyze Median Molecule Intensity from \'citrus\ |
| R-MinEDfind | 0.1.3-lp153.1.4 | A Bayesian Design for Minimum Effective Dosing-Finding Trial |
| R-Miney | 0.1-lp153.2.13 | Implementation of the Well-Known Game to Clear Bombs from a |
| R-miniCRAN | 0.3.0-lp153.2.2 | Create a Mini Version of CRAN Containing Only Selected Packa |
| R-minidown | 0.3.0-lp153.1.12 | Create Simple Yet Powerful HTML Documents with Light Weight |
| R-miniGUI | 0.8.1-lp153.2.13 | Tcl/Tk Quick and Simple Function GUI |
| R-minimalRSD | 1.0.0-lp153.2.13 | Minimally Changed CCD and BBD |
| R-minimap | 0.1.0-lp153.2.13 | Create Tile Grid Maps |
| R-minimax | 1.1.1-lp153.1.5 | The Minimax Distribution Family |
| R-minioclient | 0.0.6-lp153.1.4 | Interface to the \'MinIO\' Client |
| R-Minirand | 0.1.3-lp153.2.13 | Minimization Randomization |
| R-miniUI | 0.1.1-1.14 | Shiny UI Widgets for Small Screens |
| R-miniUI | 0.1.1.1-lp153.15.2 | Shiny UI Widgets for Small Screens |
| R-miniUI | 0.1.1-lp153.1.14 | Shiny UI Widgets for Small Screens |
| R-miniUI | 0.1.1-1.90 | Shiny UI Widgets for Small Screens |
| R-minpack.lm | 1.2.4-lp153.1.5 | R Interface to the Levenberg-Marquardt Nonlinear Least-Squar |
| R-minqa | 1.2.4-lp153.2.26 | Derivative-free optimization algorithms by quadratic approxi |
| R-minqa | 1.2.4-lp155.2.5 | Derivative-free optimization algorithms by quadratic approxi |
| R-minqa | 1.2.4-lp154.2.10 | Derivative-free optimization algorithms by quadratic approxi |
| R-minqa | 1.2.4-2.47 | Derivative-free optimization algorithms by quadratic approxi |
| R-minqa | 1.2.4-2.31 | Derivative-free optimization algorithms by quadratic approxi |
| R-minque | 2.0.0-lp153.2.13 | Various Linear Mixed Model Analyses |
| R-minsample1 | 0.1.0-lp153.1.7 | The Minimum Sample Size |
| R-minsample2 | 0.1.0-lp153.1.7 | The Minimum Sample Size |
| R-MInt | 1.0.1-lp153.8.11 | Learn Direct Interaction Networks |
| R-MINTplates | 1.0.1-lp153.1.12 | Encode \"License-Plates\" from Sequences and Decode Them Bac |
| R-minval | 0.8.2-lp153.1.9 | MINimal VALidation for Stoichiometric Reactions |
| R-minxent | 0.01-lp153.2.13 | Entropy Optimization Distributions |
| R-mipfp | 3.2.1-lp153.2.13 | Multidimensional Iterative Proportional Fitting and Alternat |
| R-MIPHENO | 1.2-lp153.13.11 | Mutant Identification through Probabilistic High throughput |
| R-mipred | 0.0.1-lp153.9.12 | Prediction using Multiple Imputation |
| R-miRada | 1.13.8.8-lp153.2.13 | MicroRNA Microarray Data Analysis |
| R-mirai.promises | 0.5.0-lp153.2.2 | Make \'Mirai\' \'Promises\' |
| R-MiRAnorm | 1.0.0-lp153.7.13 | Adaptive Normalization for miRNA Data |
| R-miRecSurv | 1.0.2-lp153.5.2 | Left-Censored Recurrent Events Survival Models |
| R-MiRNAQCD | 1.1.2-lp153.7.7 | Micro-RNA Quality Control and Diagnosis |
| R-MiRSEA | 1.1.1-lp153.1.4 | \'MicroRNA\' Set Enrichment Analysis |
| R-mirtsvd | 1.0-lp153.3.7 | SVD-Based Estimation for Exploratory Item Factor Analysis |
| R-misaem | 1.0.1-lp153.1.13 | Linear Regression and Logistic Regression with Missing Covar |
| R-misc3d | 0.8.4-lp154.1.10 | Miscellaneous 3D Plots |
| R-misc3d | 0.8.4-lp155.1.5 | Miscellaneous 3D Plots |
| R-misc3d | 0.8.4-1.25 | Miscellaneous 3D Plots |
| R-misc3d | 0.9.1-lp153.1.12 | Miscellaneous 3D Plots |
| R-misc3d | 0.8.4-1.38 | Miscellaneous 3D Plots |
| R-misc3d | 0.8.4-lp153.1.23 | Miscellaneous 3D Plots |
| R-miscF | 0.1.5-lp153.6.2 | Miscellaneous Functions |
| R-miscIC | 0.1.0-lp153.2.13 | Misclassified Interval Censored Time-to-Event Data |
| R-miscor | 0.1.1-lp153.2.13 | Miscellaneous Functions for the Correlation Coefficient |
| R-miscTools | 0.6.28-lp153.1.5 | Miscellaneous Tools and Utilities |
| R-mise | 0.1.0-lp153.2.13 | Clears the Workspace (Mise en Place) |
| R-miselect | 0.9.2-lp153.2.2 | Variable Selection for Multiply Imputed Data |
| R-misha | 4.2.9-lp153.1.4 | Toolkit for Analysis of Genomic Data |
| R-mispr | 1.0.0-lp153.4.7 | Multiple Imputation with Sequential Penalized Regression |
| R-misPRIME | 0.1.0-lp153.1.9 | Partial Replacement Imputation Estimation for Missing Covari |
| R-MisRepARMA | 0.0.2-lp153.17.2 | Misreported Time Series Analysis |
| R-misreport | 0.1.1-lp153.2.13 | Statistical Analysis of Misreporting on Sensitive Survey Que |
| R-missCforest | 0.0.8-lp153.1.7 | Ensemble Conditional Trees for Missing Data Imputation |
| R-missDiag | 1.0.1-lp153.7.5 | Comparing Observed and Imputed Values under MAR and MCAR |
| R-missForest | 1.5-lp153.1.10 | Nonparametric Missing Value Imputation using Random Forest |
| R-missForestPredict | 1.0-lp153.1.4 | Missing Value Imputation using Random Forest for Prediction |
| R-MissingPlotLSD | 0.1.0-lp153.1.9 | Missing Plot in LSD |
| R-MissingPlotRBD | 1.1.0-lp153.1.9 | Missing Plot in RBD |
| R-MissMech | 1.0.4-lp153.2.2 | Testing Homoscedasticity, Multivariate Normality, and Missin |
| R-missMethods | 0.4.0-lp153.1.8 | Methods for Missing Data |
| R-misspi | 0.1.0-lp153.6.2 | Missing Value Imputation in Parallel |
| R-Missplot | 0.1.0-lp153.1.8 | Missing Plot Technique in Design of Experiment |
| R-MiST | 1.0-lp153.2.13 | Mixed effects Score Test for continuous outcomes |
| R-mistat | 2.0.4-lp153.1.7 | Data Sets, Functions and Examples from the Book: \"Modern In |
| R-mistr | 0.0.5-lp153.1.11 | Mixture and Composite Distributions |
| R-MitISEM | 1.2-lp153.2.13 | Mixture of Student t Distributions using Importance Sampling |
| R-mitools | 2.4-lp154.1.10 | Tools for multiple imputation of missing data |
| R-mitools | 2.4-lp155.1.5 | Tools for multiple imputation of missing data |
| R-mitools | 2.4-lp153.2.13 | Tools for multiple imputation of missing data |
| R-mitools | 2.4-lp153.1.23 | Tools for multiple imputation of missing data |
| R-mitools | 2.4-1.33 | Tools for multiple imputation of missing data |
| R-mitools | 2.4-1.25 | Tools for multiple imputation of missing data |
| R-mitre | 1.0.0-lp153.11.4 | Cybersecurity MITRE Standards Data and Digraphs |
| R-MittagLeffleR | 0.4.1-lp153.1.12 | Mittag-Leffler Family of Distributions |
| R-MIWilson | 1.0.0-lp153.5.8 | Implementing the MI-Wilson Confidence Interval |
| R-miWQS | 0.4.4-lp153.25.2 | Multiple Imputation Using Weighted Quantile Sum Regression |
| R-mix | 1.0.12-lp153.2.2 | Estimation/multiple Imputation for Mixed Categorical and Con |
| R-mixAR | 0.22.8-lp153.1.4 | Mixture Autoregressive Models |
| R-mixbox | 1.2.3-lp153.1.3 | Observed Fisher Information Matrix for Finite Mixture Model |
| R-mixComp | 0.1.2-lp153.9.7 | Estimation of Order of Mixture Distributions |
| R-mixcure | 2.0-lp153.11.10 | Mixture Cure Models |
| R-mixdist | 0.5.5-lp153.2.13 | Finite Mixture Distribution Models |
| R-MixedIndTests | 1.2.0-lp153.3.2 | Tests of Randomness and Tests of Independence |
| R-MixedLevelRSDs | 1.0.0-lp153.1.5 | Mixed Level Response Surface Designs |
| R-mixedLSR | 0.1.0-lp153.2.7 | Mixed, Low-Rank, and Sparse Multivariate Regression on High- |
| R-mixedsde | 5.0-lp153.13.4 | Estimation Methods for Stochastic Differential Mixed Effects |
| R-MixedTS | 1.0.4-lp153.2.13 | Mixed Tempered Stable Distribution |
| R-mixEMM | 1.0-lp153.2.13 | A Mixed-Effects Model for Analyzing Cluster-Level Non-Ignora |
| R-mixexp | 1.2.7-lp153.6.2 | Design and Analysis of Mixture Experiments |
| R-mixIndependR | 1.0.0-lp153.1.12 | Genetics and Independence Testing of Mixed Genetic Panels |
| R-mixl | 1.3.4-lp153.1.4 | Simulated Maximum Likelihood Estimation of Mixed Logit Model |
| R-MixMAP | 1.3.4-lp153.7.8 | Implements the MixMAP Algorithm |
| R-mixmeta | 1.2.0-lp153.1.12 | An Extended Mixed-Effects Framework for Meta-Analysis |
| R-mixPHM | 0.7.2-lp153.2.13 | Mixtures of Proportional Hazard Models |
| R-mixRasch | 1.1-lp153.2.13 | Mixture Rasch Models with JMLE |
| R-mixRaschTools | 1.1.1-lp153.2.13 | Plotting and Average Theta Functions for Multiple Class Mixe |
| R-mixreg | 2.0.10-lp153.1.12 | Functions to Fit Mixtures of Regressions |
| R-MixSAL | 1.0-lp153.2.13 | Mixtures of Multivariate Shifted Asymmetric Laplace (SAL) Di |
| R-MixSemiRob | 1.1.0-lp153.7.2 | Mixture Models: Parametric, Semiparametric, and Robust |
| R-mixsep | 0.2.1.2-lp153.1.12 | Forensic Genetics DNA Mixture Separation |
| R-mixsmsn | 1.1.10-lp153.1.12 | Fitting Finite Mixture of Scale Mixture of Skew-Normal Distr |
| R-mixSPE | 0.9.2-lp153.1.5 | Mixtures of Power Exponential and Skew Power Exponential Dis |
| R-mixSSG | 2.1.1-lp153.1.8 | Clustering Using Mixtures of Sub Gaussian Stable Distributio |
| R-mixtNB | 1.0-lp153.2.13 | DE Analysis of RNA-Seq Data by Mixtures of NB |
| R-mixtools | 2.0.0-lp153.15.2 | Tools for Analyzing Finite Mixture Models |
| R-mixtox | 1.4.0-lp153.1.9 | Dose Response Curve Fitting and Mixture Toxicity Assessment |
| R-mixtur | 1.2.1-lp153.2.2 | Modelling Continuous Report Visual Short-Term Memory Studies |
| R-MixtureInf | 1.1-lp153.2.13 | Inference for Finite Mixture Models |
| R-MixtureMissing | 1.0.2-lp153.2.7 | Robust Model-Based Clustering for Data Sets with Missing Val |
| R-MixtureRegLTIC | 1.0.0-lp153.2.13 | Mixture Regression Models for Left-Truncated and Interval-Ce |
| R-MixTwice | 1.1-lp153.1.13 | MixTwice--a Package for Large-Scale Hypothesis Testing |
| R-mize | 0.2.4-lp153.2.13 | Unconstrained Numerical Optimization Algorithms |
| R-MKclass | 0.5-lp153.1.5 | Statistical Classification |
| R-MKdescr | 0.8-lp153.2.5 | Descriptive statistics |
| R-MKendall | 1.5.4-lp153.2.2 | Matrix Kendall\'s Tau and Matrix Elliptical Factor Model |
| R-mkin | 1.2.6-lp153.2.4 | Kinetic Evaluation of Chemical Degradation Data |
| R-MKLE | 1.0.1-lp153.1.5 | Maximum Kernel Likelihood Estimation |
| R-mknapsack | 0.1.0-lp153.2.13 | Multiple Knapsack Problem Solver |
| R-mkssd | 1.2-lp153.1.11 | Efficient Multi-Level k-Circulant Supersaturated Designs |
| R-ML.MSBD | 1.2.1-lp153.3.7 | Maximum Likelihood Inference on Multi-State Trees |
| R-ML2Pvae | 1.0.0.1-lp153.6.5 | Variational Autoencoder Models for IRT Parameter Estimation |
| R-mlapi | 0.1.1-lp153.1.9 | Abstract Classes for Building \'scikit-learn\' Like API |
| R-mlbench | 2.1.1-lp154.1.10 | Machine Learning Benchmark Problems |
| R-mlbench | 2.1.1-lp155.1.5 | Machine Learning Benchmark Problems |
| R-mlbench | 2.1.1-1.32 | Machine Learning Benchmark Problems |
| R-mlbench | 2.1.5-lp153.2.2 | Machine Learning Benchmark Problems |
| R-mlbench | 2.1.1-lp153.1.25 | Machine Learning Benchmark Problems |
| R-mlbench | 2.1.1-1.31 | Machine Learning Benchmark Problems |
| R-mlbstats | 0.1.0-lp153.2.13 | Major League Baseball Player Statistics Calculator |
| R-mlbstatsR | 0.1.0.3-lp153.1.12 | Stats, Photos, Logos, and Colors of M.L.B. (Major League Bas |
| R-MLCIRTwithin | 2.1.1-lp153.2.13 | Latent Class Item Response Theory (LC-IRT) Models under With |
| R-MLCM | 0.4.3-lp153.1.11 | Maximum Likelihood Conjoint Measurement |
| R-MLCOPULA | 1.0.0-lp153.1.2 | Classification Models with Copula Functions |
| R-MLDAShiny | 0.1.0-lp153.7.10 | Interactive Document for Working with Discriminant Analysis |
| R-MLDAShiny2 | 0.1.0-lp153.7.10 | Interactive Document for Working with Discriminant Analysis |
| R-mldr | 0.4.3-lp153.13.2 | Exploratory Data Analysis and Manipulation of Multi-Label Da |
| R-mldr.datasets | 0.4.2-lp153.2.13 | R Ultimate Multilabel Dataset Repository |
| R-mldr.resampling | 0.2.3-lp153.3.2 | Resampling Algorithms for Multi-Label Datasets |
| R-MLDS | 0.5.1-lp153.1.5 | Maximum Likelihood Difference Scaling |
| R-mle.tools | 1.0.0-lp153.2.13 | Expected/Observed Fisher Information and Bias-Corrected Maxi |
| R-mlearning | 1.2.1-lp153.3.2 | Machine Learning Algorithms with Unified Interface and Confu |
| R-MLEce | 2.1.0-lp153.1.5 | Asymptotic Efficient Closed-Form Estimators for Multivariate |
| R-mlegp | 3.1.9-lp153.1.11 | Maximum Likelihood Estimates of Gaussian Processes |
| R-mlelod | 1.0.0.1-lp153.2.2 | MLE for Normally Distributed Data Censored by Limit of Detec |
| R-mleur | 1.0.6-lp153.2.12 | Maximum likelihood unit root test |
| R-MLeval | 0.3-lp153.14.5 | Machine Learning Model Evaluation |
| R-mlf | 1.2.1-lp153.2.13 | Machine Learning Foundations |
| R-mlfit | 0.5.3-lp153.9.2 | Iterative Proportional Fitting Algorithms for Nested Structu |
| R-mlflow | 2.11.1-lp153.1.3 | Interface to \'MLflow\' |
| R-MLFS | 0.4.2-lp153.7.2 | Machine Learning Forest Simulator |
| R-MLGdata | 0.1.0-lp153.2.13 | Datasets for Use with Salvan, Sartori and Pace (2020) |
| R-mlgt | 0.16-lp153.6.12 | Multi-Locus Geno-Typing |
| R-mlica2 | 2.1-lp153.2.13 | Independent Component Analysis using Maximum Likelihood |
| R-MLmetrics | 1.1.3-lp153.2.2 | Machine Learning Evaluation Metrics |
| R-mlmi | 1.1.2-lp153.1.5 | Maximum Likelihood Multiple Imputation |
| R-MLML2R | 0.3.3-lp153.2.13 | Maximum Likelihood Estimation of DNA Methylation and Hydroxy |
| R-mlmm.gwas | 1.0.6-lp153.3.13 | Pipeline for GWAS Using MLMM |
| R-mlmmm | 0.3.1.2-lp153.2.13 | ML estimation under multivariate linear mixed models with mi |
| R-mlogitBMA | 0.1.7-lp153.1.10 | Bayesian Model Averaging for Multinomial Logit Models |
| R-MLPA | 1.10.0-lp153.2.13 | Multiplex Ligation-Dependent Probe Amplification Data Analys |
| R-mlPhaser | 0.01-lp153.3.13 | Multi-Locus Haplotype Phasing |
| R-MLpreemption | 1.0.1-lp153.1.13 | Maximum Likelihood Estimation of the Niche Preemption Model |
| R-MLPUGS | 0.2.0-lp153.2.13 | Multi-Label Prediction Using Gibbs Sampling (and Classifier |
| R-mlr | 2.19.2-lp153.1.2 | Machine Learning in R |
| R-mlr3benchmark | 0.1.6-lp153.1.7 | Analysis and Visualisation of Benchmark Experiments |
| R-mlr3data | 0.7.0-lp153.1.5 | Collection of Machine Learning Data Sets for \'mlr3\' |
| R-mlr3spatial | 0.5.0-lp153.2.2 | Support for Spatial Objects Within the \'mlr3\' Ecosystem |
| R-mlrCPO | 0.3.7.7-lp153.1.4 | Composable Preprocessing Operators and Pipelines for Machine |
| R-mlrMBO | 1.1.5.1-lp153.11.2 | Bayesian Optimization and Model-Based Optimization of Expens |
| R-MLRShiny | 0.1.0-lp153.14.11 | Interactive Application for Working with Multiple Linear Reg |
| R-MLRShiny2 | 0.1.0-lp153.14.11 | Interactive Application for Working with Multiple Linear Reg |
| R-mlsjunkgen | 0.1.2-lp153.1.13 | Use the MLS Junk Generator Algorithm to Generate a Stream of |
| R-mlstrOpalr | 1.0.3-lp153.2.2 | Support Compatibility Between \'Maelstrom\' R Packages and \ |
| R-mlt.docreg | 1.1.4-lp153.1.9 | Most Likely Transformations: Documentation and Regression Te |
| R-mltest | 1.0.1-lp153.2.13 | Classification Evaluation Metrics |
| R-mltools | 0.3.5-lp153.2.13 | Machine Learning Tools |
| R-MLVSBM | 0.2.4-lp153.2.7 | A Stochastic Block Model for Multilevel Networks |
| R-mlxR | 4.2.0-lp153.11.5 | Simulation of Longitudinal Data |
| R-MM | 1.6.8-lp153.2.2 | The Multiplicative Multinomial Distribution |
| R-MMAC | 0.1.2-lp153.2.13 | Data for Mathematical Modeling and Applied Calculus |
| R-MMAD | 1.0.0-lp153.1.5 | MM Algorithm Based on the Assembly-Decomposition Technology |
| R-mmap | 0.6.22-lp153.1.4 | Map Pages of Memory |
| R-mmaqshiny | 1.0.0-lp153.6.3 | Explore Air-Quality Mobile-Monitoring Data |
| R-mmb | 0.13.3-lp153.4.13 | Arbitrary Dependency Mixed Multivariate Bayesian Models |
| R-mmc | 0.0.3-lp153.2.13 | Multivariate Measurement Error Correction |
| R-mmcards | 0.1.1-lp153.1.5 | Playing Cards Utility Functions |
| R-mmcm | 1.2.8-lp153.2.13 | Modified Maximum Contrast Method |
| R-Mmcsd | 1.0.0-lp153.3.2 | Modeling Complex Longitudinal Data in a Quick and Easy Way |
| R-MMD | 1.0.0-lp153.3.9 | Minimal Multilocus Distance (MMD) for Source Attribution and |
| R-MMDai | 2.0.0-lp153.2.13 | Multivariate Multinomial Distribution Approximation and Impu |
| R-MMDCopula | 0.2.1-lp153.2.7 | Robust Estimation of Copulas by Maximum Mean Discrepancy |
| R-mme | 0.1.6-lp153.2.13 | Multinomial Mixed Effects Models |
| R-mmeln | 1.5-lp153.1.5 | Estimation of Multinormal Mixture Distribution |
| R-mmeta | 3.0.0-lp153.1.7 | Multivariate Meta-Analysis |
| R-MMINP | 0.1.0-lp153.6.7 | Microbe-Metabolite Interactions-Based Metabolic Profiles Pre |
| R-mmirestriktor | 0.2.1-lp153.5.2 | Informative Hypothesis Testing Web Applications |
| R-MMLR | 0.2.0-lp153.2.13 | Fitting Markov-Modulated Linear Regression Models |
| R-mmm | 1.4-lp153.1.13 | an R package for analyzing multivariate longitudinal data wi |
| R-mmm2 | 1.2-lp153.2.13 | Multivariate marginal models with shared regression paramete |
| R-mmmgee | 1.20-lp153.2.13 | Simultaneous Inference for Multiple Linear Contrasts in GEE |
| R-MMMS | 0.1-lp153.2.12 | Multi-Marker Molecular Signature for Treatment-specific Subg |
| R-mmod | 1.3.3-lp153.25.2 | Modern Measures of Population Differentiation |
| R-mmodely | 0.2.5-lp153.1.5 | Modeling Multivariate Origins Determinants - Evolutionary Li |
| R-mMPA | 1.2.0-lp153.2.13 | Implementation of Marker-Assisted Mini-Pooling with Algorith |
| R-mmpf | 0.0.5-lp153.2.13 | Monte-Carlo Methods for Prediction Functions |
| R-mmpp | 0.6-lp153.2.13 | Various Similarity and Distance Metrics for Marked Point Pro |
| R-mmr | 0.1.0-lp153.2.13 | Matrix Multiplication on Data.frames |
| R-MMRcaseselection | 0.1.0-lp153.14.5 | Case Classification and Selection Based on Regression Result |
| R-mmtsne | 0.1.0-lp153.2.13 | Multiple Maps t-SNE |
| R-MMWRweek | 0.1.3-lp153.2.13 | Convert Dates to MMWR Day, Week, and Year |
| R-MNB | 1.1.0-lp153.1.9 | Diagnostic Tools for a Multivariate Negative Binomial Model |
| R-mnda | 1.0.9-lp153.6.3 | Multiplex Network Differential Analysis (MNDA) |
| R-mnj | 1.0-lp153.2.13 | Machine Learning and Judgement |
| R-MNLpred | 0.0.8-lp153.1.12 | Simulated Predicted Probabilities for Multinomial Logit Mode |
| R-MNM | 1.0.4-lp153.3.2 | Multivariate Nonparametric Methods. An Approach Based on Spa |
| R-mnonr | 1.0.0-lp153.2.13 | A Generator of Multivariate Non-Normal Random Numbers |
| R-mnormpow | 0.1.1-lp153.2.13 | Multivariate Normal Distributions with Power Integrand |
| R-mnormt | 1.5_4-lp154.2.10 | The multivariate normal and t distributions |
| R-mnormt | 1.5_4-lp153.2.26 | The multivariate normal and t distributions |
| R-mnormt | 1.5_4-lp155.2.5 | The multivariate normal and t distributions |
| R-mnormt | 2.1.1-lp153.1.8 | The Multivariate Normal and t Distributions, and Their Trunc |
| R-mnormt | 1.5_4-2.34 | The multivariate normal and t distributions |
| R-mnormt | 1.5_4-2.38 | The multivariate normal and t distributions |
| R-mnreadR | 2.1.7-lp153.1.4 | MNREAD Parameters Estimation and Curve Plotting |
| R-MNS | 1.0-lp153.9.4 | Mixed Neighbourhood Selection |
| R-mnt | 1.3-lp153.2.13 | Affine Invariant Tests of Multivariate Normality |
| R-mob | 0.4.2-lp153.4.5 | Monotonic Optimal Binning |
| R-mobForest | 1.3.1-lp153.1.12 | Model Based Random Forest Analysis |
| R-mobilityIndexR | 0.2.1-lp153.1.13 | Calculates Transition Matrices and Mobility Indices |
| R-mobirep | 0.2.3-lp153.8.4 | Models Bivariate Dependence and Produces Bivariate Return Pe |
| R-MoBPS | 1.6.64-lp153.1.11 | Modular Breeding Program Simulator |
| R-moc | 2.0-lp153.2.13 | General Nonlinear Multivariate Finite Mixtures |
| R-MOCCA | 1.4-lp153.2.13 | Multi-Objective Optimization for Collecting Cluster Alternat |
| R-mockcpp | 0.0.1-lp153.3.16 | Mocking in C++ with \'testthat\' |
| R-mockery | 0.4.1-lp153.2.23 | Mocking Library for R |
| R-mockery | 0.4.1-2.117 | Mocking Library for R |
| R-mockery | 0.4.1-2.24 | Mocking Library for R |
| R-mockr | 0.2.1-lp153.1.7 | Mocking in R |
| R-mockthat | 0.2.8-lp153.2.5 | Function Mocking for Unit Testing |
| R-mod | 0.1.3-lp153.2.13 | Lightweight and Self-Contained Modules for Code Organization |
| R-mod09nrt | 0.14-lp153.2.13 | Extraction of Bands from MODIS Surface Reflectance Product M |
| R-mod2rm | 0.2.1-lp153.6.5 | Moderation Analysis for Two-Instance Repeated Measures Desig |
| R-modACDC | 2.0.1-lp153.1.4 | Association of Covariance for Detecting Differential Co-Expr |
| R-Modalclust | 0.7-lp153.2.13 | Hierarchical Modal Clustering |
| R-modchart | 0.5-lp153.16.5 | A \'shiny\' Module for Creating Charts of Various Types |
| R-modcmfitr | 0.1.0-lp153.2.12 | Fit a Modified Connor-Mosimann Distribution to Elicited Quan |
| R-modeest | 2.4.0-lp153.3.11 | Mode Estimation |
| R-modehunt | 1.0.7-lp153.2.13 | Multiscale Analysis for Density Functions |
| R-model4you | 0.9.7-lp153.11.5 | Stratified and Personalised Models Based on Model-Based Tree |
| R-modelbased | 0.8.8-lp153.1.2 | Estimation of Model-Based Predictions, Contrasts and Means |
| R-modelc | 1.0.0.0-lp153.2.13 | A Linear Model to \'SQL\' Compiler |
| R-Modelcharts | 0.1.0-lp153.29.2 | Classification Model Charts |
| R-modeldb | 0.3.0-lp153.3.2 | Fits Models Inside the Database |
| R-modelfactory | 1.0.0-lp153.1.4 | Combine Statistical Models into a Tibble for Comparison |
| R-modelfree | 1.2-lp153.1.5 | Model-Free Estimation of a Psychometric Function |
| R-ModelGood | 1.0.9-lp153.4.12 | Validation of risk prediction models |
| R-modelimpact | 1.0.0-lp153.7.7 | Functions to Assess the Business Impact of Churn Prediction |
| R-modello | 0.1.1-lp153.1.12 | Homemade Deep Learning Library |
| R-ModelMap | 3.4.0.4-lp153.3.4 | Modeling and Map Production using Random Forest and Related |
| R-ModelMatrixModel | 0.1.0-lp153.1.12 | Create Model Matrix and Save the Transforming Parameters |
| R-ModelMetrics | 1.2.2.2-1.31 | Rapid Calculation of Model Metrics |
| R-ModelMetrics | 1.2.2.2-lp155.1.5 | Rapid Calculation of Model Metrics |
| R-ModelMetrics | 1.2.2.2-lp153.1.24 | Rapid Calculation of Model Metrics |
| R-ModelMetrics | 1.2.2.2-1.27 | Rapid Calculation of Model Metrics |
| R-ModelMetrics | 1.2.2.2-lp154.1.10 | Rapid Calculation of Model Metrics |
| R-modelObj | 4.2-lp153.1.9 | A Model Object Framework for Regression Analysis |
| R-modelplotr | 1.1.0-lp153.18.5 | Plots to Evaluate the Business Performance of Predictive Mod |
| R-modelr | 0.1.6-1.43 | Modelling Functions that Work with the Pipe |
| R-modelr | 0.1.6-1.25 | Modelling Functions that Work with the Pipe |
| R-modelr | 0.1.6-lp153.1.23 | Modelling Functions that Work with the Pipe |
| R-modelr | 0.1.11-lp153.3.2 | Modelling Functions that Work with the Pipe |
| R-modelROC | 1.0-lp153.7.7 | Model Based ROC Analysis |
| R-modelSSE | 0.1.3-lp153.1.5 | Modelling Infectious Disease Superspreading from Contact Tra |
| R-modelStudio | 3.1.2-lp153.10.2 | Interactive Studio for Explanatory Model Analysis |
| R-modeltools | 0.2_21-1.30 | Tools and Classes for Statistical Models |
| R-modeltools | 0.2_21-1.38 | Tools and Classes for Statistical Models |
| R-modeltools | 0.2_21-lp154.1.10 | Tools and Classes for Statistical Models |
| R-modeltools | 0.2_21-lp153.1.26 | Tools and Classes for Statistical Models |
| R-modeltools | 0.2.23-lp153.2.13 | Tools and Classes for Statistical Models |
| R-modeltools | 0.2_21-lp155.1.5 | Tools and Classes for Statistical Models |
| R-modelwordcloud | 0.1-lp153.2.19 | Model Word Clouds |
| R-moder | 0.2.1-lp153.1.5 | Mode Estimation |
| R-moderate.mediation | 0.0.10-lp153.1.2 | Causal Moderated Mediation Analysis |
| R-modernVA | 0.1.3-lp153.1.4 | An Implementation of Two Modern Education-Based Value-Added |
| R-modest | 0.3.1-lp153.16.2 | Model-Based Dose-Escalation Trials |
| R-ModEstM | 0.0.1-lp153.5.7 | Mode Estimation, Even in the Multimodal Case |
| R-modEvA | 3.17-lp153.1.2 | Model Evaluation and Analysis |
| R-modgetxl | 0.4-lp153.21.2 | A \'shiny\' Module for Reading Excel Sheets |
| R-modi | 0.1.2-lp153.1.5 | Multivariate Outlier Detection and Imputation for Incomplete |
| R-modifiedmk | 1.6-lp153.1.12 | Modified Versions of Mann Kendall and Spearman\'s Rho Trend |
| R-modiscloud | 0.14-lp153.4.12 | R tools for processing Level 2 Cloud Mask products from MODI |
| R-MODISSnow | 0.1.0.0-lp153.4.12 | Provides a Function to Download MODIS Snow Cover |
| R-MODISTools | 1.1.5-lp153.2.4 | Interface to the \'MODIS Land Products Subsets\' Web Service |
| R-modmarg | 0.9.6-lp153.2.13 | Calculating Marginal Effects and Levels with Errors |
| R-modMax | 1.1-lp153.7.4 | Community Structure Detection via Modularity Maximization |
| R-modopt.matlab | 1.0.2-lp153.4.5 | \'MatLab\'-Style Modeling of Optimization Problems |
| R-modQR | 0.1.3-lp153.2.7 | Multiple-Output Directional Quantile Regression |
| R-ModStatR | 1.3.2-lp153.2.7 | Statistical Modelling in Action with R |
| R-modTurPoint | 0.1.0-lp153.2.13 | Estimate ED50 Based on Modified Turning Point Method |
| R-modules | 0.13.0-lp153.1.4 | Self Contained Units of Source Code |
| R-modygliani | 1.0-lp153.2.13 | MOlecular DYnamics GLobal ANalysis |
| R-MOEADr | 1.1.3-lp153.1.7 | Component-Wise MOEA/D Implementation |
| R-MoEClust | 1.5.2-lp153.1.4 | Gaussian Parsimonious Clustering Models with Covariates and |
| R-moexer | 0.3.0-lp153.2.2 | Interact with Moscow Exchange Informational and Statistical |
| R-moezipfR | 1.0.2-lp153.10.11 | Marshall-Olkin Extended Zipf |
| R-MOFAT | 1.0-lp153.1.7 | Maximum One-Factor-at-a-Time Designs |
| R-mogavs | 1.1.0-lp153.2.13 | Multiobjective Genetic Algorithm for Variable Selection in R |
| R-mojson | 0.1-lp153.26.2 | A Serialization-Style Flattening and Description for JSON |
| R-moko | 1.0.3-lp153.10.5 | Multi-Objective Kriging Optimization |
| R-molaR | 5.3-lp153.2.5 | Dental Surface Complexity Measurement Tools |
| R-MoLE | 1.0.1-lp153.2.13 | Modeling Language Evolution |
| R-MolgenisAuth | 0.0.25-lp153.1.7 | \'OpenID Connect\' Discovery and Authentication |
| R-MOLHD | 0.2-lp153.11.5 | Multiple Objective Latin Hypercube Design |
| R-momentchi2 | 0.1.5-lp153.2.13 | Moment-Matching Methods for Weighted Sums of Chi-Squared Ran |
| R-momentfit | 0.5-lp153.1.5 | Methods of Moments |
| R-moments | 0.14.1-lp153.1.9 | Moments, Cumulants, Skewness, Kurtosis and Related Tests |
| R-Momocs | 1.4.0-lp153.13.5 | Morphometrics using R |
| R-momr | 1.1-lp153.24.5 | Mining Metaomics Data (MetaOMineR) |
| R-monaco | 0.2.2-lp153.13.2 | The \'Monaco\' Editor as a HTML Widget |
| R-monashtipr | 0.1.0-lp153.7.4 | An R API Wrapper for the Monash University Probabilistic Foo |
| R-mondate | 0.10.01.02-lp154.1.10 | Keep track of dates in terms of months |
| R-mondate | 1.0-lp153.1.4 | Keep track of dates in terms of months |
| R-mondate | 0.10.01.02-lp153.1.23 | Keep track of dates in terms of months |
| R-mondate | 0.10.01.02-1.25 | Keep track of dates in terms of months |
| R-mondate | 0.10.01.02-1.38 | Keep track of dates in terms of months |
| R-mondate | 0.10.01.02-lp155.1.5 | Keep track of dates in terms of months |
| R-Mondrian | 1.1.1-lp153.1.4 | A Simple Graphical Representation of the Relative Occurrence |
| R-mongopipe | 0.1.1-lp153.2.5 | Query MongoDB Documents with R |
| R-monitoR | 1.0.7-lp153.2.13 | Acoustic Template Detection in R |
| R-monitOS | 0.1.5-lp153.3.2 | Monitoring Overall Survival in Pivotal Trials in Indolent Ca |
| R-monkeylearn | 0.2.0-lp153.2.13 | Accesses the Monkeylearn API for Text Classifiers and Extrac |
| R-monobin | 0.2.4-lp153.17.2 | Monotonic Binning for Credit Rating Models |
| R-monobinShiny | 0.1.0-lp153.17.2 | Shiny User Interface for \'monobin\' Package |
| R-monochromeR | 0.2.0-lp153.1.5 | Easily Create, View and Use Monochrome Colour Palettes |
| R-monoClust | 1.2.1-lp153.14.2 | Perform Monothetic Clustering with Extensions to Circular Da |
| R-monographaR | 1.3.1-lp153.4.2 | Taxonomic Monographs Tools |
| R-MonoInc | 1.1-lp153.19.2 | Monotonic Increasing |
| R-monomvn | 1.9.20-lp153.1.4 | Estimation for MVN and Student-t Data with Monotone Missingn |
| R-MonoPhy | 1.3.1-lp153.1.2 | Explore Monophyly of Taxonomic Groups in a Phylogeny |
| R-MonoPoly | 0.3.10-lp153.2.13 | Functions to Fit Monotone Polynomials |
| R-monoreg | 2.1-lp153.1.5 | Bayesian Monotonic Regression Using a Marked Point Process C |
| R-monotone | 0.1.2-lp153.1.9 | Performs Monotone Regression |
| R-MonotoneHazardRatio | 0.1.1-lp153.1.4 | Nonparametric Estimation and Inference of a Monotone Hazard |
| R-monotonicity | 1.3.1-lp153.2.13 | Test for Monotonicity in Expected Asset Returns, Sorted by P |
| R-monreg | 0.1.4.1-lp153.1.4 | Nonparametric Monotone Regression |
| R-Monte.Carlo.se | 0.1.1-lp153.1.5 | Monte Carlo Standard Errors |
| R-MonteCarlo | 1.0.6-lp153.3.7 | Automatic Parallelized Monte Carlo Simulations |
| R-MonteCarloSEM | 0.0.8-lp153.2.2 | Monte Carlo Data Simulation Package |
| R-moodef | 1.0.0-lp153.1.4 | Defining \'Moodle\' Elements from R |
| R-moodlequizR | 2.1.1-lp153.2.2 | Easily Create Fully Randomized \'Moodle\' Test Questions |
| R-moonBook | 0.3.1-lp153.9.2 | Functions and Datasets for the Book by Keon-Woong Moon |
| R-moose | 0.0.1-lp153.1.8 | Mean Squared Out-of-Sample Error Projection |
| R-mopac | 0.1.0-lp153.1.13 | Collection of Datasets Pertaining to Loop 1 \"Mopac\" |
| R-mopsocd | 0.5.1-lp153.2.13 | MOPSOCD: Multi-objective Particle Swarm Optimization with Cr |
| R-MOrder | 0.1-lp153.2.13 | Check Time Homogeneity and Markov Chain Order |
| R-morepls | 0.1-lp153.2.2 | Interpretation Tools for Partial Least Squares Regression |
| R-morestopwords | 0.2.0-lp153.1.5 | All Stop Words in One Place |
| R-morgenstemning | 1.0-lp153.2.13 | Color schemes compatible with red-green color perception dif |
| R-morph | 1.1.0-lp153.3.5 | 3D Segmentation of Voxels into Morphologic Classes |
| R-morphemepiece | 1.2.3-lp153.7.2 | Morpheme Tokenization |
| R-morphemepiece.data | 1.2.0-lp153.1.10 | Data for Morpheme Tokenization |
| R-morpheus | 1.0.4-lp153.1.7 | Estimate Parameters of Mixtures of Logistic Regressions |
| R-morphomap | 1.4-lp153.2.5 | Morphometric Maps, Bone Landmarking and Cross Sectional Geom |
| R-MorphoTools2 | 1.0.1.1-lp153.2.5 | Multivariate Morphometric Analysis |
| R-morrowplots | 0.1.0-lp153.2.2 | Historical Agricultural Data from the University of Illinois |
| R-MorseGen | 1.2-lp153.2.13 | Simple raw data generator based on user-specified summary st |
| R-mort | 0.0.1-lp153.1.5 | Identifying Potential Mortalities and Expelled Tags in Aquat |
| R-mortAAR | 1.1.6-lp153.2.2 | Analysis of Archaeological Mortality Data |
| R-MortalityLaws | 2.1.0-lp153.2.4 | Parametric Mortality Models, Life Tables and HMD |
| R-MortalitySmooth | 2.3.4-lp153.1.13 | Smoothing and Forecasting Poisson Counts with P-Splines |
| R-MortalityTables | 2.0.5-lp153.1.4 | A Framework for Various Types of Mortality / Life Tables |
| R-MortCast | 2.7.0-lp153.1.10 | Estimation and Projection of Age-Specific Mortality Rates |
| R-mortyr | 0.0.2-lp153.10.5 | Wrapper to \'The Rick and Morty\' API |
| R-mosaic | 1.9.1-lp153.2.2 | Project MOSAIC Statistics and Mathematics Teaching Utilities |
| R-mosaic.find | 0.1.2-lp153.2.13 | Finding Rhythmic and Non-Rhythmic Trends in Multi-Omics Data |
| R-mosaicCore | 0.6.0-1.25 | Common Utilities for Other MOSAIC-Family Packages |
| R-mosaicCore | 0.6.0-lp153.1.24 | Common Utilities for Other MOSAIC-Family Packages |
| R-mosaicCore | 0.6.0-1.42 | Common Utilities for Other MOSAIC-Family Packages |
| R-mosaicCore | 0.9.4.0-lp153.2.2 | Common Utilities for Other MOSAIC-Family Packages |
| R-mosaicData | 0.20.4-lp153.1.4 | Project MOSAIC Data Sets |
| R-mosmafs | 0.1.2.1-lp153.8.5 | Multi-Objective Simultaneous Model and Feature Selection |
| R-MOST | 0.1.2-lp153.1.8 | Multiphase Optimization Strategy |
| R-motifcluster | 0.2.3-lp153.6.4 | Motif-Based Spectral Clustering of Weighted Directed Network |
| R-motifr | 1.0.0-lp153.25.2 | Motif Analysis in Multi-Level Networks |
| R-motmot | 2.1.3-lp153.7.4 | Models of Trait Macroevolution on Trees |
| R-motoRneuron | 1.0.0-lp153.25.2 | Analyzing Paired Neuron Discharge Times for Time-Domain Sync |
| R-moult | 2.3.1-lp153.1.8 | Models for Analysing Moult in Birds |
| R-mountainplot | 1.4-lp153.1.9 | Mountain Plots, Folded Empirical Cumulative Distribution Plo |
| R-mousetrack | 1.0.0-lp153.2.13 | Mouse-Tracking Measures from Trajectory Data |
| R-mousetRajectory | 0.2.1-lp153.1.5 | Mouse Trajectory Analyses for Behavioural Scientists |
| R-move | 4.2.4-lp153.3.4 | Visualizing and Analyzing Animal Track Data |
| R-movecost | 2.1-lp153.1.4 | Calculation of Slope-Dependant Accumulated Cost Surface, Lea |
| R-movegroup | 2024.03.05-lp153.2.2 | Visualizing and Quantifying Space Use Data for Groups of Ani |
| R-movementsync | 0.1.4-lp153.2.4 | Analysis and Visualisation of Musical Audio and Video Moveme |
| R-movMF | 0.2.8-lp153.1.4 | Mixtures of von Mises-Fisher Distributions |
| R-mozzie | 0.1.0-lp153.2.13 | Weekly Notified Dengue Cases in Sri Lanka |
| R-mpa | 0.7.3-lp153.8.11 | CoWords Method |
| R-mpathsenser | 1.2.3-lp153.2.2 | Process and Analyse Data from m-Path Sense |
| R-MPCI | 1.0.7-lp153.2.13 | Multivariate Process Capability Indices (MPCI) |
| R-mpcv | 1.1-lp153.2.13 | Multivariate Process Capability Vector |
| R-MPDiR | 0.2-lp153.1.5 | Data Sets and Scripts for Modeling Psychophysical Data in R |
| R-mpe | 1.0-lp153.2.13 | Multiple Primary Endpoints |
| R-MPI | 0.1.0-lp153.8.2 | Computation of Multidimensional Poverty Index (MPI) |
| R-mpindex | 0.2.1-lp153.1.4 | Multidimensional Poverty Index (MPI) |
| R-MPINet | 1.0-lp153.2.13 | The package can implement the network-based metabolite pathw |
| R-mpitbR | 1.0.0-lp153.2.2 | Calculate Alkire-Foster Multidimensional Poverty Measures |
| R-MPkn | 0.1.0-lp153.2.13 | Calculations of One Discrete Model in Several Time Steps |
| R-MPLikelihoodWB | 1.1-lp153.2.13 | Modified Profile Likelihood Estimation for Weibull Shape and |
| R-mplot | 1.0.6-lp153.13.2 | Graphical Model Stability and Variable Selection Procedures |
| R-MplusAutomation | 1.1.1-lp153.1.4 | An R Package for Facilitating Large-Scale Latent Variable An |
| R-mplusParallel.automation | 0.0.1.1-lp153.2.4 | Parallel Processing Automation for \'Mplus\' |
| R-MplusTrees | 0.2.2-lp153.4.4 | Decision Trees with Structural Equation Models Fit in \'Mplu |
| R-mpm | 1.0.23-lp153.1.10 | Multivariate Projection Methods |
| R-mpmcorrelogram | 0.1.4-lp153.2.13 | Multivariate Partial Mantel Correlogram |
| R-mpmi | 0.43.2.1-lp153.1.5 | Mixed-Pair Mutual Information Estimators |
| R-MPN | 0.3.0-lp153.2.13 | Most Probable Number and Other Microbial Enumeration Techniq |
| R-mpoly | 1.1.1-lp153.19.2 | Symbolic Computation and More with Multivariate Polynomials |
| R-mpower | 0.1.0-lp153.6.2 | Power Analysis via Monte Carlo Simulation for Correlated Dat |
| R-mppa | 1.0-lp153.2.13 | Statistics for analysing multiple simultaneous point process |
| R-mppR | 1.5.0-lp153.1.4 | Multi-Parent Population QTL Analysis |
| R-mpr | 1.0.6-lp153.1.11 | Multi-Parameter Regression (MPR) |
| R-MPR.genotyping | 0.8-lp153.2.13 | Maximum Parsimony of Recombination to Infer Parental Genotyp |
| R-MPS | 2.3.1-lp153.2.13 | Estimating Through the Maximum Product Spacing Approach |
| R-mpspline2 | 0.1.6-lp153.1.10 | Mass-Preserving Spline Functions for Soil Data |
| R-MPsychoR | 0.10.8-lp153.2.13 | Modern Psychometrics with R |
| R-MPTmultiverse | 0.4.2-lp153.17.2 | Multiverse Analysis of Multinomial Processing Tree Models |
| R-mptools | 1.0.1-lp153.3.8 | RAMAS Metapop Tools |
| R-mpwR | 0.1.5-lp153.5.2 | Standardized Comparison of Workflows in Mass Spectrometry-Ba |
| R-MQMF | 0.1.5-lp153.1.5 | Modelling and Quantitative Methods in Fisheries |
| R-Mqrcm | 1.3-lp153.4.2 | M-Quantile Regression Coefficients Modeling |
| R-mQTL | 1.0-lp153.2.13 | Metabolomic Quantitative Trait Locus Mapping |
| R-mr.pivw | 0.1.1-lp153.1.8 | Penalized Inverse-Variance Weighted Estimator for Mendelian |
| R-mr.raps | 0.2-lp153.2.13 | Two Sample Mendelian Randomization using Robust Adjusted Pro |
| R-mra | 2.16.11-lp153.2.13 | Mark-Recapture Analysis |
| R-mratios | 1.4.2-lp153.3.13 | Ratios of Coefficients in the General Linear Model |
| R-mrbin | 1.7.5-lp153.1.2 | Metabolomics Data Analysis Functions |
| R-mRc | 0.1.0-lp153.1.5 | Multi-Visit Closed Population Mark-Recapture Estimates |
| R-MRCE | 2.4-lp153.1.11 | Multivariate Regression with Covariance Estimation |
| R-mrct | 0.0.1.0-lp153.5.2 | Outlier Detection of Functional Data Based on the Minimum Re |
| R-MRCV | 0.3.3-lp153.6.10 | Methods for Analyzing Multiple Response Categorical Variable |
| R-mreg | 1.2.1-lp153.1.4 | Fits Regression Models When the Outcome is Partially Missing |
| R-MRFA | 0.6-lp153.1.4 | Fitting and Predicting Large-Scale Nonlinear Regression Prob |
| R-mrfse | 0.2-lp153.2.13 | Markov Random Field Structure Estimator |
| R-mrgsim.parallel | 0.2.1-lp153.6.7 | Simulate with \'mrgsolve\' in Parallel |
| R-MRH | 2.2-lp153.2.13 | Multi-Resolution Estimation of the Hazard Rate |
| R-MRHawkes | 1.0-lp153.4.7 | Multivariate Renewal Hawkes Process |
| R-mri | 1.0.1-lp153.2.13 | Modified Rand and Wallace Indices |
| R-mritc | 0.5.3-lp153.1.7 | MRI Tissue Classification |
| R-MRMCaov | 0.3.0-lp153.3.4 | Multi-Reader Multi-Case Analysis of Variance |
| R-MRMCsamplesize | 1.0.0-lp153.1.5 | Sample Size Estimations for Planning Multi-Reader Multi-Case |
| R-MRmediation | 1.0.1-lp153.16.4 | A Causal Mediation Method with Methylated Region (MR) as the |
| R-MRMR | 0.1.4-lp153.8.13 | Multivariate Regression Models for Reserving |
| R-mRMRe | 2.1.2.1-lp153.4.4 | Parallelized Minimum Redundancy, Maximum Relevance (mRMR) |
| R-mro | 0.1.1-lp153.3.12 | Multiple Correlation |
| R-MRQoL | 1.0-lp153.2.13 | Minimal Clinically Important Difference and Response Shift E |
| R-mrregression | 1.0.0-lp153.3.7 | Regression Analysis for Very Large Data Sets via Merge and R |
| R-MRsurv | 0.2-lp153.2.13 | A multiplicative-regression model for relative survival. |
| R-MRTSampleSize | 0.3.0-lp153.2.13 | A Sample Size Calculator for Micro-Randomized Trials |
| R-MRTSampleSizeBinary | 0.1.2-lp153.1.4 | Sample Size Calculator for MRT with Binary Outcomes |
| R-MRZero | 0.2.0-lp153.2.2 | Diet Mendelian Randomization |
| R-ms.sev | 1.0.4-lp153.2.13 | Package for Calculation of ARMSS, Local MSSS and Global MSSS |
| R-msae | 0.1.5-lp153.1.9 | Multivariate Fay Herriot Models for Small Area Estimation |
| R-msaeDB | 0.2.1-lp153.1.13 | Difference Benchmarking for Multivariate Small Area Estimati |
| R-msaeHB | 0.1.0-lp153.1.10 | Multivariate Small Area Estimation using Hierarchical Bayesi |
| R-msaenet | 3.1.2-lp153.2.2 | Multi-Step Adaptive Estimation Methods for Sparse Regression |
| R-msaeOB | 0.1.0-lp153.1.10 | Optimum Benchmarking for Multivariate Small Area Estimation |
| R-msaeRB | 0.2.1-lp153.1.12 | Ratio Benchmarking for Multivariate Small Area Estimation |
| R-msaFACE | 0.1.0-lp153.2.13 | Moving Subset Analysis FACE |
| R-msamp | 1.0.0-lp153.1.8 | Estimate Sample Size to Detect Bacterial Contamination in a |
| R-msap | 1.1.8-lp153.6.12 | Statistical analysis for Methylation-sensitive Amplification |
| R-msaR | 0.6.0-lp153.14.2 | Multiple Sequence Alignment for R Shiny |
| R-MSbox | 1.4.8-lp153.3.2 | Mass Spectrometry Tools |
| R-msBP | 1.4.1-lp153.1.5 | Multiscale Bernstein Polynomials for Densities |
| R-MSBStatsData | 0.0.2-lp153.2.2 | Data Sets for Courses at the Münster School of Business |
| R-MSCMT | 1.4.0-lp153.2.2 | Multivariate Synthetic Control Method Using Time Series |
| R-MScombine | 1.4-lp153.3.7 | Combine Data from Positive and Negative Ionization Mode Find |
| R-mscp | 1.0-lp153.1.13 | Multiscale Change Point Detection via Gradual Bandwidth Adju |
| R-MSCsimtester | 1.0.0-lp153.3.7 | Tests of Multispecies Coalescent Gene Tree Simulator Output |
| R-mscstexta4r | 0.1.2-lp153.15.2 | R Client for the Microsoft Cognitive Services Text Analytics |
| R-mscstts | 0.6.3-lp153.1.9 | R Client for the Microsoft Cognitive Services \'Text-to-Spee |
| R-mscsweblm4r | 0.1.2-lp153.4.7 | R Client for the Microsoft Cognitive Services Web Language M |
| R-msd | 0.3.1-lp153.1.13 | Method of Successive Dichotomizations |
| R-msda | 1.0.3-lp153.1.8 | Multi-Class Sparse Discriminant Analysis |
| R-MsdeParEst | 1.7-lp153.11.11 | Parametric Estimation in Mixed-Effects Stochastic Differenti |
| R-msdrought | 0.1.0-lp153.2.2 | Seasonal Mid-Summer Drought Characteristics |
| R-mseapca | 2.0.3-lp153.1.4 | Metabolite Set Enrichment Analysis for Loadings |
| R-MSG | 0.8-lp153.1.12 | Data and Functions for the Book Modern Statistical Graphics |
| R-MSGLasso | 2.1-lp153.2.13 | Multivariate Sparse Group Lasso for the Multivariate Multipl |
| R-msgpackR | 1.1-lp153.2.13 | A library to serialize or unserialize data in MessagePack fo |
| R-msgps | 1.3.5-lp153.1.8 | Degrees of Freedom of Elastic Net, Adaptive Lasso and Genera |
| R-msgr | 1.1.2-lp153.4.7 | Extends Messages, Warnings and Errors by Adding Levels and L |
| R-mshap | 0.1.0-lp153.9.2 | Multiplicative SHAP Values for Two-Part Models |
| R-msig | 1.0-lp153.18.3 | An R Package for Exploring Molecular Signatures Database |
| R-msigdbr | 7.5.1-lp153.5.7 | MSigDB Gene Sets for Multiple Organisms in a Tidy Data Forma |
| R-mSigTools | 1.0.7-lp153.1.7 | Mutational Signature Analysis Tools |
| R-mSimCC | 0.0.3-lp153.1.5 | Micro Simulation Model for Cervical Cancer Prevention |
| R-msir | 1.3.3-lp153.2.13 | Model-Based Sliced Inverse Regression |
| R-mskcc.oncotree | 0.1.1-lp153.6.2 | Interface to the \'OncoTree\' API |
| R-msma | 3.1-lp153.1.4 | Multiblock Sparse Multivariable Analysis |
| R-msme | 0.5.3-lp153.2.13 | Functions and Datasets for \"Methods of Statistical Model Es |
| R-MSML | 1.0.0.1-lp153.2.2 | Model Selection Based on Machine Learning (ML) |
| R-MSMwRA | 1.5-lp153.1.12 | Multivariate Statistical Methods with R Applications |
| R-msos | 1.2.0-lp153.3.12 | Data Sets and Functions Used in Multivariate Statistics: Old |
| R-MSoutcomes | 0.2.0-lp153.2.2 | CORe Multiple Sclerosis Outcomes Toolkit |
| R-MSQC | 1.1.0-lp153.8.5 | Multivariate Statistical Quality Control |
| R-MSRDT | 0.1.0-lp153.14.2 | Multi-State Reliability Demonstration Tests (MSRDT) |
| R-msSPChelpR | 0.9.1-lp153.1.4 | Helper Functions for Second Primary Cancer Analyses |
| R-MSSQL | 1.0.0-lp153.1.12 | Tools to Work with Microsoft SQL Server Databases via \'RODB |
| R-mssqlR | 1.0.0-lp153.1.12 | MSSQL Querying using R |
| R-MST | 2.2-lp153.2.13 | Multivariate Survival Trees |
| R-mstate | 0.2.6-2.29 | Data preparation, estimation and prediction in multi-state m |
| R-mstate | 0.2.6-2.38 | Data preparation, estimation and prediction in multi-state m |
| R-mstate | 0.2.6-lp153.2.23 | Data preparation, estimation and prediction in multi-state m |
| R-mstate | 0.2.6-lp155.2.5 | Data preparation, estimation and prediction in multi-state m |
| R-mstate | 0.2.6-lp154.2.10 | Data preparation, estimation and prediction in multi-state m |
| R-mStats | 3.4.0-lp153.2.12 | Epidemiological Data Analysis |
| R-mstclustering | 1.0.0.0-lp153.4.2 | \"MST-Based Clustering\" |
| R-mSTEM | 1.0.1-lp153.6.2 | Multiple Testing of Local Extrema for Detection of Change Po |
| R-mstherm | 0.4.7-lp153.2.13 | Analyze MS/MS Protein Melting Data |
| R-mstknnclust | 0.3.2-lp153.5.4 | MST-kNN Clustering Algorithm |
| R-mstR | 1.2-lp153.2.13 | Procedures to Generate Patterns under Multistage Testing |
| R-mstrio | 11.3.5.101-lp153.7.2 | Interface for \'MicroStrategy\' REST API |
| R-msu | 0.0.1-lp153.2.13 | Multivariate Symmetric Uncertainty and Other Measurements |
| R-MSwM | 1.5-lp153.1.12 | Fitting Markov Switching Models |
| R-mt | 2.0.1.20-lp153.1.4 | Metabolomics Data Analysis Toolbox |
| R-MTAFT | 0.1.0-lp153.1.4 | Data-Driven Estimation for Multi-Threshold Accelerate Failur |
| R-mtanan | 0.0.1-lp153.2.2 | Single Valued Neutrosophic Kruskal-Wallis and Mann Whitney T |
| R-MTAR | 0.1.1-lp153.2.13 | Multi-Trait Analysis of Rare-Variant Association Study |
| R-mtb | 0.1.8-lp153.7.2 | My Toolbox for Assisting Document Editing and Data Presentin |
| R-mtconnectR | 1.2.1-lp153.13.14 | Read Data from Delimited \'MTConnect\' Data Files and Perfor |
| R-MTDrh | 0.1.0-lp153.2.13 | Mass Transportation Distance Rank Histogram |
| R-MTE | 1.2-lp153.3.2 | Maximum Tangent Likelihood Estimation for Robust Linear Regr |
| R-mthapower | 0.1.1-lp153.2.13 | Sample Size and Power for Association Studies Involving Mito |
| R-mtk | 1.0-lp153.13.9 | Mexico ToolKit library (MTK) |
| R-MTPS | 1.0.2-lp153.1.5 | Multi-Task Prediction using Stacking Algorithms |
| R-mtsdi | 0.3.5-lp153.2.13 | Multivariate Time Series Data Imputation |
| R-mtsta | 0.0.0.1-lp153.1.5 | Accessing the Red List of Montane Tree Species of the Tropic |
| R-MTSYS | 1.2.0-lp153.2.13 | Methods in Mahalanobis-Taguchi (MT) System |
| R-mtvc | 1.1.0-lp153.1.4 | Multiple Counting Process Structure for Survival Analysis |
| R-MUACz | 2.1.0-lp153.16.7 | Generate MUAC and BMI z-Scores and Percentiles for Children |
| R-muckrock | 0.1.0-lp153.2.13 | Data on Freedom of Information Act Requests |
| R-mudata2 | 1.1.3-lp153.4.5 | Interchange Tools for Multi-Parameter Spatiotemporal Data |
| R-mudens | 1.3.2-lp153.2.13 | Density Estimate |
| R-mudfold | 1.1.21-lp153.6.2 | Multiple UniDimensional unFOLDing |
| R-mueRelativeRisk | 0.1.1-lp153.2.13 | Relative Risk Based on the Ratio of Median Unbiased Estimate |
| R-MuFiCokriging | 1.2-lp153.2.13 | Multi-Fidelity Cokriging models |
| R-muhaz | 1.2.6.4-lp153.1.13 | Hazard Function Estimation in Survival Analysis |
| R-muHVT | 3.0.0-lp153.6.5 | Constructing Hierarchical Voronoi Tessellations and Overlay |
| R-muir | 0.1.0-lp153.21.2 | Exploring Data with Tree Data Structures |
| R-mulgar | 1.0.2-lp153.2.2 | Functions for Pre-Processing Data for Multivariate Data Visu |
| R-MullerPlot | 0.1.3-lp153.1.9 | Generates Muller Plot from Population/Abundance/Frequency Dy |
| R-mulSEM | 1.0-lp153.1.4 | Some Multivariate Analyses using Structural Equation Modelin |
| R-mulset | 1.0.0-lp153.3.13 | Multiset Intersection Generator |
| R-MultAlloc | 1.2-lp153.2.13 | Optimal Allocation in Stratified Sampling |
| R-multcomp | 1.3_7-1.27 | Simultaneous Inference in General Parametric Models |
| R-multcomp | 1.3_7-1.39 | Simultaneous Inference in General Parametric Models |
| R-multcomp | 1.3_7-lp153.1.23 | Simultaneous Inference in General Parametric Models |
| R-multcomp | 1.3_7-lp155.1.5 | Simultaneous Inference in General Parametric Models |
| R-multcomp | 1.3_7-lp154.1.10 | Simultaneous Inference in General Parametric Models |
| R-multcompView | 0.1_5-1.38 | Visualizations of Paired Comparisons |
| R-multcompView | 0.1_5-lp153.1.23 | Visualizations of Paired Comparisons |
| R-multcompView | 0.1_5-lp154.1.10 | Visualizations of Paired Comparisons |
| R-multcompView | 0.1_5-1.25 | Visualizations of Paired Comparisons |
| R-multcompView | 0.1_5-lp155.1.5 | Visualizations of Paired Comparisons |
| R-multcompView | 0.1.10-lp153.2.2 | Visualizations of Paired Comparisons |
| R-multDM | 1.1.4-lp153.2.7 | Multivariate Version of the Diebold-Mariano Test |
| R-MultEq | 2.4-lp153.1.11 | Multiple Equivalence Tests and Simultaneous Confidence Inter |
| R-multfisher | 1.1-lp153.2.13 | Optimal Exact Tests for Multiple Binary Endpoints |
| R-multiActionButton | 1.0.0-lp153.9.2 | Multi Action Button for \'Shiny\' Applications |
| R-multiApply | 2.1.4-lp153.1.5 | Apply Functions to Multiple Multidimensional Arrays or Vecto |
| R-multiAssetOptions | 0.1.2-lp153.1.13 | Finite Difference Method for Multi-Asset Option Valuation |
| R-multiband | 0.1.0-lp153.2.13 | Period Estimation for Multiple Bands |
| R-multibiasmeta | 0.2.2-lp153.2.2 | Sensitivity Analysis for Multiple Biases in Meta-Analyses |
| R-multibreakeR | 0.1.0-lp153.2.2 | Tests for a Structural Change in Multivariate Time Series |
| R-multiCA | 1.1-lp153.2.13 | Multinomial Cochran-Armitage Trend Test |
| R-multicastR | 2.0.0-lp153.1.13 | A Companion to the Multi-CAST Collection |
| R-MultiClassROC | 0.1.0-lp153.1.5 | ROC Curves for Multi-Class Analysis |
| R-multicmp | 1.1-lp153.2.13 | Flexible Modeling of Multivariate Count Data via the Multiva |
| R-MultiCNVDetect | 0.1.1-lp153.2.13 | Multiple Copy Number Variation Detection |
| R-multiColl | 2.0-lp153.1.8 | Collinearity Detection in a Multiple Linear Regression Model |
| R-multicolor | 0.1.7-lp153.1.5 | Add Multiple Colors to your Console & RMarkdown Output |
| R-multicon | 1.6-lp153.3.9 | Multivariate Constructs |
| R-multicross | 2.1.0-lp153.10.11 | A Graph-Based Test for Comparing Multivariate Distributions |
| R-multidplyr | 0.1.3-lp153.3.2 | A Multi-Process \'dplyr\' Backend |
| R-multiFANOVA | 0.1.0-lp153.2.4 | Multiple Contrast Tests for Functional Data |
| R-multifunc | 0.9.4-lp153.9.2 | Analysis of Ecological Drivers on Ecosystem Multifunctionali |
| R-multifwf | 0.2.2-lp153.2.13 | Read Fixed Width Format Files Containing Lines of Different |
| R-MultiGHQuad | 1.2.0-lp153.2.13 | Multidimensional Gauss-Hermite Quadrature |
| R-MultiGlarmaVarSel | 1.0-lp153.4.7 | Variable Selection in Sparse Multivariate GLARMA Models |
| R-multigraph | 0.99.3-lp153.2.2 | Plot and Manipulate Multigraphs |
| R-multigraphr | 0.2.0-lp153.1.4 | Probability Models and Statistical Analysis of Random Multig |
| R-multigroup | 0.4.5-lp153.2.13 | Multigroup Data Analysis |
| R-MultiGroupSequential | 1.1.0-lp153.1.5 | Group-Sequential Procedures with Multiple Hypotheses |
| R-MultiHorizonSPA | 1.0.0-lp153.1.13 | Multi Horizon Superior Predictive Ability |
| R-MultiJoin | 0.1.1-lp153.2.13 | Enables Efficient Joining of Data File on Common Fields usin |
| R-MultiKink | 0.2.0-lp153.1.4 | Estimation and Inference for Multi-Kink Quantile Regression |
| R-multilateral | 1.0.0-lp153.4.7 | Generalised Function to Calculate a Variety of Multilateral |
| R-multilaterals | 1.0-lp153.9.4 | Transitive Index Numbers for Cross-Sections and Panel Data |
| R-MultiLCIRT | 2.11-lp153.2.13 | Multidimensional Latent Class Item Response Theory Models |
| R-multilevel | 2.7-lp153.1.11 | Multilevel Functions |
| R-multilinguer | 0.2.4-lp153.6.2 | Gentle Language Installer for R User |
| R-multimark | 2.1.6-lp153.5.2 | Capture-Mark-Recapture Analysis using Multiple Non-Invasive |
| R-multiMarker | 1.0.1-lp153.2.13 | Latent Variable Model to Infer Food Intake from Multiple Bio |
| R-multimix | 1.0.10-lp153.1.7 | Fit Mixture Models Using the Expectation Maximisation (EM) A |
| R-multimode | 1.5-lp153.4.4 | Mode Testing and Exploring |
| R-multimorbidity | 0.5.1-lp153.3.2 | Harmonizing Various Comorbidity, Multimorbidity, and Frailty |
| R-multinbmod | 1.0-lp153.2.13 | Regression analysis of overdispersed correlated count data |
| R-multiness | 1.0.2-lp153.2.7 | MULTIplex NEtworks with Shared Structure |
| R-MultinomialCI | 1.2-lp153.1.12 | Simultaneous Confidence Intervals for Multinomial Proportion |
| R-multinomRob | 1.8.6.1-lp153.2.13 | Robust Estimation of Overdispersed Multinomial Regression Mo |
| R-multiocc | 0.2.0-lp153.1.5 | Fits Multivariate Spatio-Temporal Occupancy Model |
| R-multipanelfigure | 2.1.6-lp153.2.2 | Infrastructure to Assemble Multi-Panel Figures (from Grobs) |
| R-multiPIM | 1.4.3-lp153.2.13 | Variable Importance Analysis with Population Intervention Mo |
| R-MultipleBreakpoints | 0.1.0-lp153.1.11 | Estimating Multiple Breakpoints for a Sequence of Realizatio |
| R-MultipleBubbles | 0.2.0-lp153.2.13 | Test and Detection of Explosive Behaviors for Time Series |
| R-multipleNCC | 1.2.4-lp153.1.4 | Weighted Cox-Regression for Nested Case-Control Data |
| R-multipleOutcomes | 0.4-lp153.1.2 | Asymptotic Covariance Matrix of Regression Models for Multip |
| R-MultipleRegression | 0.1.0-lp153.1.11 | Multiple Regression Analysis |
| R-MultiplierDEA | 0.1.19-lp153.5.5 | Multiplier Data Envelopment Analysis and Cross Efficiency |
| R-multipol | 1.0.9-lp153.1.5 | Multivariate Polynomials |
| R-multiRDPG | 1.0.1-lp153.2.13 | Multiple Random Dot Product Graphs |
| R-multirich | 2.1.3-lp153.1.12 | Calculate Multivariate Richness via UTC and sUTC |
| R-multiridge | 1.11-lp153.2.7 | Fast Cross-Validation for Multi-Penalty Ridge Regression |
| R-MultiRNG | 1.2.4-lp153.1.13 | Multivariate Pseudo-Random Number Generation |
| R-MultiRobust | 1.0.5-lp153.2.13 | Multiply Robust Methods for Missing Data Problems |
| R-multiROC | 1.1.1-lp153.2.13 | Calculating and Visualizing ROC and PR Curves Across Multi-C |
| R-MultIS | 0.6.2-lp153.11.4 | Reconstruction of Clones from Integration Site Readouts and |
| R-multiselect | 0.1.0-lp153.28.2 | Selecting Combinations of Predictors by Leveraging Multiple |
| R-MultiSkew | 1.1.1-lp153.2.13 | Measures, Tests and Removes Multivariate Skewness |
| R-multisom | 1.3-lp153.3.7 | Clustering a Data Set using Multi-SOM Algorithm |
| R-multispatialCCM | 1.3-lp153.1.5 | Multispatial Convergent Cross Mapping |
| R-MultiSV | 0.0.67-lp153.2.13 | MultiSV: an R package for identification of structural varia |
| R-multitaper | 1.0.17-lp153.1.5 | Spectral Analysis Tools using the Multitaper Method |
| R-multiUS | 1.2.3-lp153.1.7 | Functions for the Courses Multivariate Analysis and Computer |
| R-MultivariateAnalysis | 0.4.4-lp153.12.5 | Pacote Para Analise Multivariada |
| R-multivarious | 0.2.0-lp153.2.2 | Extensible Data Structures for Multivariate Analysis |
| R-MultiVarSel | 1.1.3-lp153.4.7 | Variable Selection in a Multivariate Linear Model |
| R-multivator | 1.1.11-lp153.1.5 | A Multivariate Emulator |
| R-multiversion | 0.3.6-lp153.1.10 | Version Controlled Package Manager |
| R-multiviewtest | 2.0.1-lp153.1.12 | Hypothesis Tests for Association Between Subgroups in Two Da |
| R-multiwave | 1.4-lp153.2.13 | Estimation of Multivariate Long-Memory Models Parameters |
| R-multiway | 1.0.6-lp153.2.13 | Component Models for Multi-Way Data |
| R-MultiwayRegression | 1.2-lp153.2.13 | Perform Tensor-on-Tensor Regression |
| R-multiwayvcov | 1.2.3-lp153.2.13 | Multi-Way Standard Error Clustering |
| R-MultNonParam | 1.3.9-lp153.3.2 | Multivariate Nonparametric Methods |
| R-multxpert | 0.1.1-lp153.2.13 | Common Multiple Testing Procedures and Gatekeeping Procedure |
| R-MulvariateRandomForestVarImp | 0.0.2-lp153.2.7 | Variable Importance Measures for Multivariate Random Forests |
| R-muma | 1.4-lp153.16.11 | Metabolomics Univariate and Multivariate Analysis |
| R-MuMIn | 1.15.6-lp153.1.23 | Multi-Model Inference |
| R-MuMIn | 1.15.6-lp155.1.5 | Multi-Model Inference |
| R-MuMIn | 1.15.6-1.25 | Multi-Model Inference |
| R-MuMIn | 1.15.6-1.38 | Multi-Model Inference |
| R-MuMIn | 1.15.6-lp154.1.10 | Multi-Model Inference |
| R-munfold | 0.3.5-lp153.8.8 | Metric Unfolding |
| R-munsell | 0.5.0-1.29 | Utilities for Using Munsell Colours |
| R-munsell | 0.5.0-lp153.1.26 | Utilities for Using Munsell Colours |
| R-munsell | 0.5.0-lp154.1.10 | Utilities for Using Munsell Colours |
| R-munsell | 0.5.1-lp153.2.2 | Utilities for Using Munsell Colours |
| R-munsell | 0.5.0-1.80 | Utilities for Using Munsell Colours |
| R-munsell | 0.5.0-lp155.1.5 | Utilities for Using Munsell Colours |
| R-munsellinterpol | 3.0.0-lp153.1.10 | Interpolate Munsell Renotation Data from Hue/Chroma to CIE/R |
| R-muRL | 0.1.13-lp153.2.2 | Mailmerge using R, LaTeX, and the Web |
| R-murphydiagram | 0.12.2-lp153.2.13 | Murphy Diagrams for Forecast Comparisons |
| R-muRty | 0.3.1-lp153.2.13 | Murty\'s Algorithm for k-Best Assignments |
| R-MUS | 0.1.6-lp153.2.13 | Monetary Unit Sampling and Estimation Methods, Widely Used i |
| R-musclesyneRgies | 1.2.5-lp153.7.2 | Extract Muscle Synergies from Electromyography |
| R-music | 0.1.2-lp153.1.8 | Learn and Experiment with Music Theory |
| R-musicNMR | 1.0-lp153.1.4 | Conversion of Nuclear Magnetic Resonance Spectra in Audio Fi |
| R-mustashe | 0.1.4-lp153.6.7 | Stash and Load Objects |
| R-muStat | 1.7.0-lp153.2.13 | Prentice Rank Sum Test and McNemar Test |
| R-mut | 1.1-lp153.2.12 | Pairwise Likelihood Ratios |
| R-mutationtypes | 0.0.1-lp153.1.4 | Validate and Convert Mutational Impacts Using Standard Genom |
| R-mutSignatures | 2.1.1-lp153.13.5 | Decipher Mutational Signatures from Somatic Mutational Catal |
| R-mutualinf | 1.2.2-lp153.1.4 | Computation and Decomposition of the Mutual Information Inde |
| R-MuViCP | 1.3.2-lp153.2.13 | MultiClass Visualizable Classification using Combination of |
| R-MVA | 1.0.8-lp153.1.10 | An Introduction to Applied Multivariate Analysis with R |
| R-MvBinary | 1.1-lp153.2.13 | Modelling Multivariate Binary Data with Blocks of Specific O |
| R-mvbutils | 2.8.232-lp153.2.13 | Workspace Organization, Code and Documentation Editing, Pack |
| R-mvc | 1.3-lp153.11.10 | Multi-View Clustering |
| R-mvctm | 1.2-lp153.7.2 | Multivariate Variance Components Tests for Multilevel Data |
| R-MVET | 0.1.0-lp153.1.2 | Multivariate Estimates and Tests |
| R-mvglmmRank | 1.2.4-lp153.1.7 | Multivariate Generalized Linear Mixed Models for Ranking Spo |
| R-mvinfluence | 0.9.0-lp153.9.5 | Influence Measures and Diagnostic Plots for Multivariate Lin |
| R-MVisAGe | 0.2.1-lp153.2.13 | Compute and Visualize Bivariate Associations |
| R-MVLM | 0.1.4-lp153.2.13 | Multivariate Linear Model with Analytic p-Values |
| R-mvLSW | 1.2.5-lp153.8.5 | Multivariate, Locally Stationary Wavelet Process Estimation |
| R-mvmesh | 1.6-lp153.17.5 | Multivariate Meshes and Histograms in Arbitrary Dimensions |
| R-mvmeta | 1.0.3-lp153.2.13 | Multivariate and Univariate Meta-Analysis and Meta-Regressio |
| R-mvMonitoring | 0.2.4-lp153.1.4 | Multi-State Adaptive Dynamic Principal Component Analysis fo |
| R-mvna | 2.0.1-lp153.2.13 | Nelson-Aalen Estimator of the Cumulative Hazard in Multistat |
| R-MVNBayesian | 0.0.8.11-lp153.3.7 | Bayesian Analysis Framework for MVN (Mixture) Distribution |
| R-mvngGrAd | 0.1.6-lp153.1.5 | Moving Grid Adjustment in Plant Breeding Field Trials |
| R-mvnmle | 0.1.11.2-lp153.1.5 | ML Estimation for Multivariate Normal Data with Missing Valu |
| R-mvnormalTest | 1.0.0-lp153.2.12 | Powerful Tests for Multivariate Normality |
| R-mvnormtest | 0.1.9.3-lp153.2.2 | Normality test for multivariate variables |
| R-mvnpermute | 1.0.1-lp153.1.9 | Generate New Multivariate Normal Samples from Permutations |
| R-mvnTest | 1.1.0-lp153.2.13 | Goodness of Fit Tests for Multivariate Normality |
| R-MVNtestchar | 1.1.3-lp153.29.2 | Test for Multivariate Normal Distribution Based on a Charact |
| R-mvoutlier | 2.1.1-lp153.1.12 | Multivariate outlier detection based on robust methods |
| R-MVPBT | 1.2.1-lp153.1.4 | Publication Bias Tests for Meta-Analysis of Diagnostic Accur |
| R-mvpd | 0.0.4-lp153.1.5 | Multivariate Product Distributions for Elliptically Contoure |
| R-mvPot | 0.1.6-lp153.1.5 | Multivariate Peaks-over-Threshold Modelling for Spatial Extr |
| R-mvProbit | 0.1.10-lp153.3.7 | Multivariate Probit Models |
| R-mvprpb | 1.0.4-lp153.2.13 | Orthant Probability of the Multivariate Normal Distribution |
| R-mvQuad | 1.0.8-lp153.1.5 | Methods for Multivariate Quadrature |
| R-MVQuickGraphs | 0.1.2-lp153.2.13 | Quick Multivariate Graphs |
| R-MVR | 1.33.0-lp153.2.13 | Mean-Variance Regularization |
| R-mvrtn | 1.0-lp153.2.13 | Mean and Variance of Truncated Normal Distribution |
| R-mvsf | 1.0-lp153.2.13 | Shapiro-Francia Multivariate Normality Test |
| R-mvShapiroTest | 1.0-lp153.2.13 | Generalized Shapiro-Wilk test for multivariate normality |
| R-mvSLOUCH | 2.7.6-lp153.3.2 | Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for |
| R-mvSUSY | 0.1.0-lp153.1.4 | Multivariate Surrogate Synchrony |
| R-MVTests | 2.2.2-lp153.1.4 | Multivariate Hypothesis Tests |
| R-mvtmeta | 1.1-lp153.2.13 | Multivariate Meta-Analysis |
| R-mvtnorm | 1.0.11-lp153.1.28 | Multivariate Normal and t Distributions |
| R-mvtnorm | 1.0.11-lp155.1.5 | Multivariate Normal and t Distributions |
| R-mvtnorm | 1.0.11-lp154.1.10 | Multivariate Normal and t Distributions |
| R-mvtnorm | 1.0.11-1.33 | Multivariate Normal and t Distributions |
| R-mvtnorm | 1.0.11-1.36 | Multivariate Normal and t Distributions |
| R-mvtnorm-devel | 1.0.11-lp155.1.5 | Development files for R-mvtnorm |
| R-mvtnorm-devel | 1.0.11-lp154.1.10 | Development files for R-mvtnorm |
| R-mvtnorm-devel | 1.0.11-1.33 | Development files for R-mvtnorm |
| R-mvtnorm-devel | 1.0.11-lp153.1.28 | Development files for R-mvtnorm |
| R-mvtnorm-devel | 1.0.11-1.36 | Development files for R-mvtnorm |
| R-MWLasso | 1.3.1-lp153.2.13 | Penalized Moving-Window Lasso Method for Genome-Wide Associa |
| R-mwlaxeref | 0.0.1-lp153.1.4 | Cross-References Lake Identifiers Between Different Data Set |
| R-MWRidge | 1.0.0-lp153.4.7 | Two Stage Moving-Window Ridge Method for Prediction and Esti |
| R-MWright | 0.3.2-lp153.3.7 | Mainardi-Wright Family of Distributions |
| R-mwshiny | 2.1.0-lp153.15.2 | \'Shiny\' for Multiple Windows |
| R-mwTensor | 1.0.1-lp153.2.5 | Multi-Way Component Analysis |
| R-mxkssd | 1.2-lp153.1.11 | Efficient Mixed-Level k-Circulant Supersaturated Designs |
| R-mxmmod | 1.1.0-lp153.5.7 | Measurement Model of Derivatives in \'OpenMx\' |
| R-Mychisq | 0.1.3-lp153.1.10 | Chi-Squared Test for Goodness of Fit and Independence Test |
| R-mycobacrvR | 1.1-lp153.1.9 | Integrative Immunoinformatics for Mycobacterial Diseases in |
| R-mycor | 0.1.1-lp153.2.13 | Automatic Correlation and Regression Test in a \'data.frame\ |
| R-myCRAN | 1.1-lp153.1.4 | Graph of Daily and Cumulative Downloads of your Packages |
| R-myepisodes | 1.1.1-lp153.3.12 | MyEpisodes RSS/API functions |
| R-mzID | 1.16.0-2.24 | An mzIdentML parser for R |
| R-mzID | 1.16.0-2.96 | An mzIdentML parser for R |
| R-mzID | 1.16.0-lp153.2.23 | An mzIdentML parser for R |
| R-mzipmed | 1.4.0-lp153.1.5 | Mediation using MZIP Model |
| R-mztwinreg | 1.0.1-lp153.11.11 | Regression Models for Monozygotic Twin Data |
| R-N2H4 | 0.8.4-lp153.2.2 | Handling Methods for Naver News Text Crawling |
| R-na.tools | 0.3.1-lp153.2.13 | Comprehensive Library for Working with Missing (NA) Values i |
| R-NAC | 0.1.0-lp153.1.4 | Network-Adjusted Covariates for Community Detection |
| R-NACHO | 2.0.6-lp153.4.2 | NanoString Quality Control Dashboard |
| R-NADA | 1.6.1.1-lp153.2.13 | Nondetects and Data Analysis for Environmental Data |
| R-nadiv | 2.16.2.0-1.31 | (Non)Additive Genetic Relatedness Matrices |
| R-nadiv | 2.16.2.0-lp155.1.5 | (Non)Additive Genetic Relatedness Matrices |
| R-nadiv | 2.16.2.0-1.25 | (Non)Additive Genetic Relatedness Matrices |
| R-nadiv | 2.16.2.0-lp154.1.10 | (Non)Additive Genetic Relatedness Matrices |
| R-nadiv | 2.18.0-lp153.2.2 | (Non)Additive Genetic Relatedness Matrices |
| R-NAEPirtparams | 1.0.0-lp153.1.13 | IRT Parameters for the National Assessment of Education Prog |
| R-NAEPprimer | 1.0.1-lp153.2.13 | The NAEP Primer |
| R-naflex | 0.1.0-lp153.1.11 | Flexible Options for Handling Missing Values |
| R-naivebayes | 1.0.0-lp153.2.2 | High Performance Implementation of the Naive Bayes Algorithm |
| R-naivereg | 1.0.5-lp153.4.7 | Nonparametric Additive Instrumental Variable Estimator and R |
| R-nakagami | 1.1.0-lp153.1.12 | Functions for the Nakagami Distribution |
| R-name | 0.0.1-lp153.6.2 | Tools for Working with Names |
| R-namedCapture | 2020.4.1-lp153.2.13 | Named Capture Regular Expressions |
| R-namedropR | 2.4.1-lp153.11.2 | Create Visual Citations for Presentations and Posters |
| R-NameNeedle | 1.2.7-lp153.1.5 | Using Needleman-Wunsch to Match Sample Names |
| R-namer | 0.1.8-lp153.2.2 | Names Your \'R Markdown\' Chunks |
| R-namespace | 0.9.1-lp153.2.13 | Provide namespace managment functions not (yet) present in b |
| R-naniar | 1.1.0-lp153.2.2 | Data Structures, Summaries, and Visualisations for Missing D |
| R-nanny | 0.1.8-lp153.6.12 | High-Level Data Analysis and Manipulation in \'tidyverse\' S |
| R-nanop | 2.0.6-lp153.11.9 | Tools for Nanoparticle Simulation and Calculation of PDF and |
| R-nanostringr | 0.4.2-lp153.1.2 | Performs Quality Control, Data Normalization, and Batch Effe |
| R-NAP | 1.1-lp153.1.11 | Non-Local Alternative Priors in Psychology |
| R-naptanr | 1.0.1-lp153.1.8 | Call the \'NaPTAN\' API Through R |
| R-naptime | 1.3.0-lp153.6.7 | A Flexible and Robust Sys.sleep() Replacement |
| R-nasadata | 0.9.0-lp153.14.7 | Interface to Various NASA API\'s |
| R-nasapower | 4.2.1-lp153.2.2 | NASA POWER API Client |
| R-nasaweather | 0.1-lp153.2.13 | Collection of datasets from the ASA 2006 data expo |
| R-NasdaqDataLink | 1.0.0-lp153.1.9 | API Wrapper for Nasdaq Data Link |
| R-nat | 1.8.21-lp153.3.5 | NeuroAnatomy Toolbox for Analysis of 3D Image Data |
| R-nat.nblast | 1.6.5-lp153.17.5 | NeuroAnatomy Toolbox (\'nat\') Extension for Assessing Neuro |
| R-nat.templatebrains | 1.0-lp153.17.5 | NeuroAnatomy Toolbox (\'nat\') Extension for Handling Templa |
| R-nat.utils | 0.6.1-lp153.1.5 | File System Utility Functions for \'NeuroAnatomy Toolbox\' |
| R-nationwider | 1.1.1-lp153.7.12 | Download House Price Data from Nationwide |
| R-natmanager | 0.5.1-lp153.3.2 | Install the \'Natverse\' Packages from Scratch |
| R-NatParksPalettes | 0.2.0-lp153.3.5 | Color Palettes Inspired by National Parks |
| R-natserv | 1.0.0-lp153.10.7 | \'NatureServe\' Interface |
| R-natural | 0.9.0-lp153.4.7 | Estimating the Error Variance in a High-Dimensional Linear M |
| R-naturaList | 0.5.2-lp153.3.3 | Classify Occurrences by Confidence Levels in the Species ID |
| R-naturalsort | 0.1.3-lp153.2.13 | Natural Ordering |
| R-NatureSounds | 1.0.4-lp153.7.5 | Animal Sounds for Bioacustic Analysis |
| R-navigatr | 0.2.1-lp153.1.5 | Navigation Menu for Pipe-Friendly Data Processing |
| R-nawtilus | 0.1.4-lp153.2.13 | Navigated Weighting for the Inverse Probability Weighting |
| R-NB | 0.9-lp153.2.13 | Maximum Likelihood method in estimating effective population |
| R-NB.MClust | 1.1.1-lp153.2.13 | Negative Binomial Model-Based Clustering |
| R-NBAloveR | 0.1.3.3-lp153.15.2 | Help Basketball Data Analysis |
| R-nbapalettes | 0.1.0-lp153.12.7 | An NBA Jersey Palette Generator |
| R-NBBDesigns | 1.1.0-lp153.1.4 | Neighbour Balanced Block Designs (NBBDesigns) |
| R-NBBttest | 1.0.1-lp153.1.9 | Negative Binomial Beta t-Test |
| R-nbc4va | 1.2-lp153.7.2 | Bayes Classifier for Verbal Autopsy Data |
| R-NbClust | 3.0.1-lp153.1.9 | Determining the Best Number of Clusters in a Data Set |
| R-nbconv | 1.0.1-lp153.1.5 | Evaluate Arbitrary Negative Binomial Convolutions |
| R-nbconvertR | 1.3.2-lp153.2.13 | Vignette Engine Wrapping Jupyter Notebooks |
| R-NBDdirichlet | 1.4-lp153.1.9 | NBD-Dirichlet Model of Consumer Buying Behavior for Marketin |
| R-NBDesign | 2.0.0-lp153.2.13 | Design and Monitoring of Clinical Trials with Negative Binom |
| R-nberwp | 1.2.0-lp153.1.10 | NBER Working Papers |
| R-NBLDA | 1.0.1-lp153.6.5 | Negative Binomial Linear Discriminant Analysis |
| R-nblR | 0.0.4-lp153.1.7 | Data Extraction of Australian NBL Basketball Statistics |
| R-NBR | 0.1.5-lp153.1.8 | Network-Based R-Statistics using Mixed Effects Models |
| R-NCA | 4.0.1-lp153.3.2 | Necessary Condition Analysis |
| R-ncappc | 0.3.0-lp153.5.2 | NCA Calculations and Population Model Diagnosis |
| R-ncar | 0.5.0-lp153.1.4 | Noncompartmental Analysis for Pharmacokinetic Report |
| R-ncbit | 2013.03.29.1-lp153.1.8 | Retrieve and Build NBCI Taxonomic Data |
| R-ncdf4 | 1.16.1-lp155.1.5 | Interface to Unidata netCDF4 Format Data Files |
| R-ncdf4 | 1.16.1-1.31 | Interface to Unidata netCDF4 Format Data Files |
| R-ncdf4 | 1.16.1-lp153.1.23 | Interface to Unidata netCDF4 Format Data Files |
| R-ncdf4 | 1.16.1-lp154.1.10 | Interface to Unidata netCDF4 Format Data Files |
| R-ncdf4.helpers | 0.3.6-lp153.1.12 | Helper Functions for Use with the \'ncdf4\' Package |
| R-ncdump | 0.0.3-lp153.7.7 | Extract Metadata from \'NetCDF\' Files as Data Frames |
| R-nCDunnett | 1.1.0-lp153.2.13 | Noncentral Dunnett\'s Test Distribution |
| R-ncf | 1.3.2-lp153.1.9 | Spatial Covariance Functions |
| R-ncg | 0.1.1-lp153.2.13 | Computes the noncentral gamma function |
| R-ncmeta | 0.4.0-lp153.2.2 | Straightforward \'NetCDF\' Metadata |
| R-NCmisc | 1.2.0-lp153.1.8 | Miscellaneous Functions for Creating Adaptive Functions and |
| R-ncodeR | 0.2.0.1-lp153.6.7 | Techniques for Automated Classifiers |
| R-nCopula | 0.1.1-lp153.5.7 | Hierarchical Archimedean Copulas Constructed with Multivaria |
| R-nCov2019 | 0.4.6-lp153.1.5 | Exploring \'COVID\'-19 Statistics |
| R-NCSampling | 1.0-lp153.2.13 | Nearest Centroid (NC) Sampling |
| R-NCSCopula | 1.0.1-lp153.2.12 | Non-Central Squared Copula Models Estimation |
| R-NDP | 0.1.0-lp153.19.2 | Interactive Presentation for Working with Normal Distributio |
| R-ndvtest | 1.0.0-lp153.2.9 | Shi\'s Non Degenerate Vuong Test |
| R-neariso | 1.0.1-lp153.2.13 | Near-Isotonic Regression |
| R-neat | 1.2.4-lp153.2.4 | Efficient Network Enrichment Analysis Test |
| R-neatR | 0.2.0-lp153.1.5 | Neat Data for Presentation |
| R-Necklaces | 1.0-lp153.1.8 | Necklaces and Bracelets |
| R-needmining | 0.1.1-lp153.15.2 | A Simple Needmining Implementation |
| R-needs | 0.0.3-lp153.2.13 | Attaches and Installs Packages |
| R-needy | 0.2-lp153.2.13 | needy |
| R-NEff | 1.1-lp153.3.13 | Calculating Effective Sizes Based on Known Demographic Param |
| R-NegativeControlOutcomeAdjustment | 0.0.6-lp153.1.5 | Estimation of Vaccine Efficacy using Negative Control Outcom |
| R-NegBinBetaBinreg | 1.0-lp153.2.13 | Negative Binomial and Beta Binomial Bayesian Regression Mode |
| R-negenes | 1.0.12-lp153.2.13 | Estimating the number of essential genes in a genome |
| R-negligible | 0.1.0-lp153.3.9 | A Collection of Functions for Negligible Effect/Equivalence |
| R-Neighboot | 1.0.1-lp153.22.2 | Neighborhood Bootstrap Method for RDS |
| R-neighbours | 0.1.3-lp153.1.5 | Neighbourhood Functions for Local-Search Algorithms |
| R-neighbr | 1.0.3-lp153.2.13 | Classification, Regression, Clustering with K Nearest Neighb |
| R-neldermead | 1.0.12-lp153.1.11 | R Port of the \'Scilab\' Neldermead Module |
| R-nemBM | 1.00.01-lp153.6.2 | Using Network Evolution Models to Generate Networks with Sel |
| R-nemtr | 0.0.1.0-lp153.4.2 | Nonparametric Extended Median Test - Cumulative Summation Me |
| R-neo2R | 2.4.2-lp153.1.4 | Neo4j to R |
| R-neo4r | 0.1.1-lp153.21.2 | A \'Neo4J\' Driver |
| R-neonSoilFlux | 1.0.0-lp153.2.2 | Compute Soil Carbon Fluxes for the National Ecological Obser |
| R-neonstore | 0.5.1-lp153.2.2 | NEON Data Store |
| R-neonUtilities | 2.4.2-lp153.2.2 | Utilities for Working with NEON Data |
| R-neotoma | 1.7.4-lp153.16.8 | Access to the Neotoma Paleoecological Database Through R |
| R-neotoma2 | 1.0.3-lp153.2.3 | Working with the Neotoma Paleoecology Database |
| R-nephro | 1.4-lp153.1.5 | Utilities for Nephrology |
| R-NEpiC | 1.0.1-lp153.18.4 | Network Assisted Algorithm for Epigenetic Studies Using Mean |
| R-neptune | 0.2.3-lp153.17.2 | MLOps Metadata Store - Experiment Tracking and Model Registr |
| R-nestcolor | 0.1.2-lp153.1.5 | Colors for NEST Graphs |
| R-NestedCohort | 1.1.3-lp153.1.13 | Survival Analysis for Cohorts with Missing Covariate Informa |
| R-NestedMenu | 0.2.0-lp153.12.2 | A Nested Menu Widget for \'Shiny\' Applications |
| R-nestedpp | 0.2.0-lp153.2.2 | Performance Profiles and Nested Performance Profiles |
| R-nestfs | 1.0.3-lp153.2.7 | Cross-Validated (Nested) Forward Selection |
| R-nestr | 0.1.2-lp153.4.5 | Build Nesting or Hierarchical Structures |
| R-netassoc | 0.7.0-lp153.6.4 | Inference of Species Associations from Co-Occurrence Data |
| R-NetCluster | 0.2-lp153.12.5 | Clustering for networks |
| R-netCoin | 2.0.48-lp153.2.4 | Interactive Analytic Networks |
| R-NetComp | 1.6-lp153.2.13 | Network Generation and Comparison |
| R-NetDA | 0.2.0-lp153.1.9 | Network-Based Discriminant Analysis Subject to Multi-Label C |
| R-NetData | 0.3-lp153.2.13 | Network Data for McFarland\'s SNA R labs |
| R-netdep | 0.1.0-lp153.2.13 | Testing for Network Dependence |
| R-NetExplorer | 0.0.2-lp153.1.11 | Network Explorer |
| R-netgen | 1.3.2-lp153.14.5 | Network Generator for Combinatorial Graph Problems |
| R-netgwas | 1.14.3-lp153.2.2 | Network-Based Genome Wide Association Studies |
| R-netie | 1.0-lp153.1.12 | Antigen T Cell Interaction Estimation |
| R-NetIndices | 1.4.4.1-lp153.1.9 | Estimating Network Indices, Including Trophic Structure of F |
| R-NetInt | 1.0.0-lp153.1.8 | Methods for Unweighted and Weighted Network Integration |
| R-netjack | 1.2.0-lp153.10.5 | Tools for Working with Samples of Networks |
| R-NetLogoR | 1.0.5-lp153.1.4 | Build and Run Spatially Explicit Agent-Based Models |
| R-NetOrigin | 1.1.6-lp153.6.2 | Origin Estimation for Propagation Processes on Complex Netwo |
| R-netregR | 1.0.1-lp153.2.13 | Regression of Network Responses |
| R-nets | 0.9.1-lp153.7.4 | Network Estimation for Time Series |
| R-netseer | 0.1.0-lp153.2.2 | Graph Prediction from a Graph Time Series |
| R-netseg | 1.0.2-lp153.3.4 | Measures of Network Segregation and Homophily |
| R-NetSimR | 0.1.2-lp153.3.5 | Actuarial Functions for Non-Life Insurance Modelling |
| R-netstat | 0.1.2-lp153.1.8 | Retrieve Network Statistics Including Available TCP Ports |
| R-NetSwan | 0.1-lp153.7.4 | Network Strengths and Weaknesses Analysis |
| R-nettskjemar | 0.1.4-lp153.11.2 | Connect to the \'nettskjema.no\' API of the University of Os |
| R-NetWeaver | 0.0.6-lp153.2.13 | Graphic Presentation of Complex Genomic and Network Data Ana |
| R-network | 1.10.2-lp155.2.5 | Classes for Relational Data |
| R-network | 1.10.2-lp153.2.23 | Classes for Relational Data |
| R-network | 1.10.2-2.38 | Classes for Relational Data |
| R-network | 1.18.2-lp153.1.4 | Classes for Relational Data |
| R-network | 1.10.2-lp154.2.10 | Classes for Relational Data |
| R-network | 1.10.2-2.31 | Classes for Relational Data |
| R-networkABC | 0.8.1-lp153.2.5 | Network Reverse Engineering with Approximate Bayesian Comput |
| R-NetworkComparisonTest | 2.2.1-lp153.28.5 | Statistical Comparison of Two Networks Based on Three Invari |
| R-networkD3 | 0.4-lp153.19.2 | D3 JavaScript Network Graphs from R |
| R-networkDynamic | 0.11.4-lp153.1.4 | Dynamic Extensions for Network Objects |
| R-networkDynamicData | 0.2.1-lp153.12.7 | Dynamic (Longitudinal) Network Datasets |
| R-NetworkExtinction | 1.0.3-lp153.5.2 | Extinction Simulation in Ecological Networks |
| R-networkGen | 0.1.1-lp153.7.4 | Network Maze Generator |
| R-networkLite | 1.0.5-lp153.1.5 | An Simplified Implementation of the \'network\' Package Func |
| R-networkreporting | 0.1.1-lp153.13.8 | Tools for using Network Reporting Estimators |
| R-NetworkRiskMeasures | 0.1.4-lp153.16.7 | Risk Measures for (Financial) Networks |
| R-NetworkSim | 0.1.0-lp153.4.13 | Network Comparison Based on Structural Equivalence and Graph |
| R-networksis | 2.1.3-lp153.8.11 | Simulate bipartite graphs with fixed marginals through seque |
| R-networktools | 1.5.0-lp153.19.5 | Tools for Identifying Important Nodes in Networks |
| R-neural | 1.4.2.2-lp153.2.13 | Neural Networks |
| R-neuralGAM | 1.1.1-lp153.2.2 | Interpretable Neural Network Based on Generalized Additive M |
| R-neuralnet | 1.44.2-lp153.2.13 | Training of Neural Networks |
| R-NeuralNetTools | 1.5.3-lp153.7.2 | Visualization and Analysis Tools for Neural Networks |
| R-neurobase | 1.32.4-lp153.2.2 | \'Neuroconductor\' Base Package with Helper Functions for \' |
| R-neuroblastoma | 2023.9.3-lp153.1.5 | Neuroblastoma Copy Number Profiles |
| R-NeuroDecodeR | 0.2.0-lp153.2.2 | Decode Information from Neural Activity |
| R-neurohcp | 0.9.0-lp153.4.4 | Human \'Connectome\' Project Interface |
| R-neuromplex | 1.0.1-lp153.10.2 | Neural Multiplexing Analysis |
| R-neuronorm | 1.0.2-lp153.5.5 | Preprocessing of Structural MRI for Multiple Neurodegenerati |
| R-neuRosim | 0.2.14-lp153.1.5 | Simulate fMRI Data |
| R-neutralitytestr | 0.0.3-lp153.24.2 | Test for a Neutral Evolutionary Model in Cancer Sequencing D |
| R-neverhpfilter | 0.4.0-lp153.1.12 | An Alternative to the Hodrick-Prescott Filter |
| R-new.dist | 0.1.1-lp153.1.4 | Alternative Continuous and Discrete Distributions |
| R-Newdistns | 2.1-lp153.2.13 | Computes Pdf, Cdf, Quantile and Random Numbers, Measures of |
| R-newFocus | 1.1-lp153.2.7 | True Discovery Guarantee by Combining Partial Closed Testing |
| R-NewmanOmics | 1.0.11-lp153.2.2 | Extending the Newman Studentized Range Statistic to Transcri |
| R-newscatcheR | 0.1.2-lp153.1.5 | Programmatically Collect Normalized News from (Almost) Any W |
| R-newsmd | 0.5.1-lp153.1.5 | Creation of NEWS.md File |
| R-newTestSurvRec | 1.0.2-lp153.2.13 | Statistical Tests to Compare Curves with Recurrent Events |
| R-nFCA | 0.3-lp153.2.13 | Numerical Formal Concept Analysis for Systematic Clustering |
| R-NFCP | 1.2.1-lp153.1.12 | N-Factor Commodity Pricing Through Term Structure Estimation |
| R-nfer | 1.1.3-lp153.1.5 | Event Stream Abstraction using Interval Logic |
| R-nfl4th | 1.0.4-lp153.2.2 | Functions to Calculate Optimal Fourth Down Decisions in the |
| R-nflfastR | 4.6.1-lp153.1.4 | Functions to Efficiently Access NFL Play by Play Data |
| R-nflplotR | 1.2.0-lp153.1.5 | NFL Logo Plots in \'ggplot2\' |
| R-nflseedR | 1.2.0-lp153.4.2 | Functions to Efficiently Simulate and Evaluate NFL Seasons |
| R-NFLSimulatoR | 0.4.0-lp153.8.2 | Simulating Plays and Drives in the NFL |
| R-nflverse | 1.0.3-lp153.2.5 | Easily Install and Load the \'nflverse\' |
| R-nFunNN | 1.0-lp153.2.2 | Nonlinear Functional Principal Component Analysis using Neur |
| R-NFWdist | 0.1.0-lp153.2.13 | The Standard Distribution Functions for the 3D NFW Profile |
| R-NGLVieweR | 1.3.1-lp153.12.2 | Interactive 3D Visualization of Molecular Structures |
| R-ngram | 3.2.3-lp153.1.4 | Fast n-Gram \'Tokenization\' |
| R-ngramr | 1.9.3-lp153.4.2 | Retrieve and Plot Google n-Gram Data |
| R-ngramrr | 0.2.0-lp153.4.4 | A Simple General Purpose N-Gram Tokenizer |
| R-NGSSEML | 2.2-lp153.8.8 | Non-Gaussian State-Space with Exact Marginal Likelihood |
| R-NHANES | 2.1.0-lp153.2.13 | Data from the US National Health and Nutrition Examination S |
| R-nhanesA | 1.1-lp153.2.2 | NHANES Data Retrieval |
| R-nhdplusTools | 1.2.1-lp153.1.2 | NHDPlus Tools |
| R-nhds | 1.0.3-lp153.2.13 | National Hospital Discharge Survey 2010 Data |
| R-nhlapi | 0.1.4-lp153.1.13 | A Minimum-Dependency \'R\' Interface to the \'NHL\' API |
| R-NHLData | 1.0.0-lp153.2.13 | Scores for Every Season Since the Founding of the NHL in 191 |
| R-nhlscrape | 0.1.3-lp153.11.7 | Scrapes the \'NHL\' API for Statistical Analysis |
| R-nhm | 0.1.1-lp153.1.4 | Non-Homogeneous Markov and Hidden Markov Multistate Models |
| R-NHMSAR | 1.19-lp153.1.11 | Non-Homogeneous Markov Switching Autoregressive Models |
| R-nhs.predict | 1.4.0-lp153.2.13 | Breast Cancer Survival and Therapy Benefits |
| R-NHSDataDictionaRy | 1.2.5-lp153.10.4 | NHS Data Dictionary Toolset for NHS Lookups |
| R-nhsnumber | 0.1.2-lp153.1.11 | Tools for Working with NHS Number Checksums |
| R-NHSRdatasets | 0.3.0-lp153.8.5 | NHS and Healthcare-Related Data for Education and Training |
| R-NHSRplotthedots | 0.1.0-lp153.9.7 | Draw XmR Charts for NHSE/I \'Making Data Count\' Programme |
| R-nhstplot | 1.3.0-lp153.2.2 | Plot Null Hypothesis Significance Tests |
| R-niarules | 0.1.0-lp153.2.2 | Numerical Association Rule Mining using Population-Based Nat |
| R-nic | 0.0.2-lp153.1.5 | Nature Inspired Colours |
| R-nice | 0.4.2-lp153.1.4 | Get or Set UNIX Niceness |
| R-nicheROVER | 1.1.2-lp153.1.5 | Niche Region and Niche Overlap Metrics for Multidimensional |
| R-nichevol | 0.1.20-lp154.7.1 | Tools for Ecological Niche Evolution Assessment Considering |
| R-nichevol | 0.1.20-lp155.7.1 | Tools for Ecological Niche Evolution Assessment Considering |
| R-nichevol | 0.1.20-lp153.7.1 | Tools for Ecological Niche Evolution Assessment Considering |
| R-nieve | 0.1.3-lp153.1.5 | Miscellaneous Utilities for Extreme Value Analysis |
| R-nifti.io | 1.0.0-lp153.1.12 | Read and Write NIfTI Files |
| R-NightDay | 1.0.1.1-lp153.2.13 | Night and Day Boundary Plot Function |
| R-nightmares | 0.0.2-lp153.5.7 | Common Analysis with Remote Sensing Data |
| R-nilde | 1.1.7-lp153.1.8 | Nonnegative Integer Solutions of Linear Diophantine Equation |
| R-NiLeDAM | 0.3-lp153.4.2 | Monazite Dating for the NiLeDAM Team |
| R-nima | 0.6.2-lp153.18.2 | Nima Hejazi\'s R Toolbox |
| R-nimbleAPT | 1.0.6-lp153.2.2 | Adaptive Parallel Tempering for \'NIMBLE\' |
| R-nimbleNoBounds | 1.0.3-lp153.1.2 | Transformed Distributions for Improved MCMC Efficiency |
| R-nimbleSCR | 0.2.1-lp153.7.4 | Spatial Capture-Recapture (SCR) Methods Using \'nimble\' |
| R-nipals | 0.8-lp153.1.12 | Principal Components Analysis using NIPALS or Weighted EMPCA |
| R-nipnTK | 0.2.0-lp153.2.2 | National Information Platforms for Nutrition Anthropometric |
| R-NIRStat | 1.1-lp153.14.5 | Novel Statistical Methods for Studying Near-Infrared Spectro |
| R-NISTnls | 0.9.13-lp153.2.13 | Nonlinear least squares examples from NIST |
| R-NISTunits | 1.0.1-lp153.2.13 | Fundamental Physical Constants and Unit Conversions from NIS |
| R-NITPicker | 1.0.1-lp153.21.8 | Finds the Best Subset of Points to Sample |
| R-nitrcbot | 1.2-lp153.9.11 | Download Image Files from the \'NeuroImaging Tools and Resou |
| R-nivm | 0.5-lp153.1.4 | Noninferiority Tests with Variable Margins |
| R-nixmass | 1.0.2-lp153.5.7 | Snow Water Equivalent Modeling with the \'Delta.snow\' Model |
| R-nJira | 0.1.1-lp153.4.7 | SQL Like Query Interface for \'Jira\' |
| R-njtr1 | 0.3.2-lp153.7.2 | Download, Analyze & Clean New Jersey Car Crash Data |
| R-nlaR | 0.4.1-lp153.1.5 | Interface to the National Lakes Assessment |
| R-NlcOptim | 0.6-lp153.2.13 | Solve Nonlinear Optimization with Nonlinear Constraints |
| R-nleqslv | 3.3.2-1.38 | Solve Systems of Nonlinear Equations |
| R-nleqslv | 3.3.2-lp153.1.24 | Solve Systems of Nonlinear Equations |
| R-nleqslv | 3.3.2-1.32 | Solve Systems of Nonlinear Equations |
| R-nleqslv | 3.3.5-lp153.1.4 | Solve Systems of Nonlinear Equations |
| R-nleqslv | 3.3.2-lp154.1.10 | Solve Systems of Nonlinear Equations |
| R-nleqslv | 3.3.2-lp155.1.5 | Solve Systems of Nonlinear Equations |
| R-nlgeocoder | 0.1.3-lp153.2.13 | Geocoding for the Netherlands |
| R-nlirms | 3.4.4-lp153.2.13 | Non-Life Insurance Rate-Making System |
| R-nlist | 0.3.3-lp153.6.7 | Lists of Numeric Atomic Objects |
| R-nlive | 0.6.0-lp153.2.2 | Automated Estimation of Sigmoidal and Piecewise Linear Mixed |
| R-nlme | 3.1.164-56.163 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-lp155.192.1 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-50.0.2.1.sr20240605 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-192.1 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-56.163 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-50.1 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-50.1 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-lp154.192.1 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-50.1 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-194.138 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-lp153.192.1 | Package provides recommended R-nlme |
| R-nlme | 3.1.164-194.138 | Package provides recommended R-nlme |
| R-nlmeODE | 1.1-lp153.2.13 | Non-linear mixed-effects modelling in nlme using differentia |
| R-nlmeU | 0.70.9-lp153.1.9 | Datasets and Utility Functions Enhancing Functionality of \' |
| R-nlmixr2data | 2.0.9-lp153.1.4 | Nonlinear Mixed Effects Models in Population PK/PD, Data |
| R-nlmrt | 2016.3.2-lp153.2.13 | Functions for Nonlinear Least Squares Solutions |
| R-nlMS | 1.1-lp153.2.13 | Non-Linear Model Selection |
| R-nlnet | 1.4-lp153.8.3 | Nonlinear Network, Clustering, and Variable Selection Based |
| R-nlopt | 0.1.1-lp153.2.2 | Call Optimization Solvers with .nl Files |
| R-nloptr | 1.0.4-lp153.3.32 | R interface to NLopt |
| R-nloptr | 1.0.4-lp154.3.10 | R interface to NLopt |
| R-nloptr | 1.0.4-lp155.3.5 | R interface to NLopt |
| R-NLP | 0.1_5-lp155.1.5 | Natural Language Processing Infrastructure |
| R-NLP | 0.1_5-lp153.1.25 | Natural Language Processing Infrastructure |
| R-NLP | 0.1_5-1.26 | Natural Language Processing Infrastructure |
| R-NLP | 0.1_5-1.38 | Natural Language Processing Infrastructure |
| R-NLP | 0.1_5-lp154.1.10 | Natural Language Processing Infrastructure |
| R-NLPclient | 1.0-lp153.3.4 | Stanford \'CoreNLP\' Annotation Client |
| R-nlpred | 1.0.1-lp153.16.2 | Estimators of Non-Linear Cross-Validated Risks Optimized for |
| R-nlpsem | 0.3-lp153.2.2 | Linear and Nonlinear Longitudinal Process in Structural Equa |
| R-nlreg | 1.2.2.2-lp153.2.13 | Higher Order Inference for Nonlinear Heteroscedastic Models |
| R-NLRoot | 1.0-lp153.2.13 | searching for the root of equation |
| R-nlrr | 0.1-lp153.31.2 | Non-Linear Relative Risk Estimation and Plotting |
| R-nlrx | 0.4.5-lp153.3.2 | Setup, Run and Analyze \'NetLogo\' Model Simulations from \' |
| R-nls.multstart | 1.3.0-lp153.2.2 | Robust Non-Linear Regression using AIC Scores |
| R-nlsem | 0.8.1-lp153.1.5 | Fitting Structural Equation Mixture Models |
| R-nlshelper | 0.2-lp153.17.5 | Convenient Functions for Non-Linear Regression |
| R-nlsic | 1.0.4-lp153.1.5 | Non Linear Least Squares with Inequality Constraints |
| R-nlsMicrobio | 1.0.0-lp153.1.4 | Nonlinear Regression in Predictive Microbiology |
| R-nlsmsn | 0.0.6-lp153.1.13 | Fitting Nonlinear Models with Scale Mixture of Skew-Normal D |
| R-nlsr | 2023.8.31-lp153.1.5 | Functions for Nonlinear Least Squares Solutions - Updated 20 |
| R-nlsrk | 1.1-lp153.2.13 | Runge-Kutta Solver for Function nls() |
| R-nlstac | 0.2.0-lp153.2.2 | An R Package for Fitting Separable Nonlinear Models |
| R-nlstimedist | 2.0.0-lp153.8.13 | Non-Linear Model Fitting of Time Distribution of Biological |
| R-nlstools | 2.1.0-lp153.1.4 | Tools for Nonlinear Regression Analysis |
| R-nlt | 2.2.1-lp153.2.13 | A nondecimated lifting transform for signal denoising |
| R-nltm | 1.4.5-lp153.1.4 | Non-Linear Transformation Models |
| R-nlts | 1.0.2-lp153.2.13 | Nonlinear Time Series Analysis |
| R-nLTT | 1.4.9-lp153.1.5 | Calculate the NLTT Statistic |
| R-nlWaldTest | 1.1.3-lp153.2.13 | Wald Test of Nonlinear Restrictions and Nonlinear CI |
| R-NMA | 1.4.3-lp153.2.2 | Network Meta-Analysis Based on Multivariate Meta-Analysis Mo |
| R-NMADiagT | 0.1.2-lp153.17.4 | Network Meta-Analysis of Multiple Diagnostic Tests |
| R-nmaINLA | 1.1.0-lp153.1.12 | Network Meta-Analysis using Integrated Nested Laplace Approx |
| R-nmaplateplot | 1.0.2-lp153.2.2 | The Plate Plot for Network Meta-Analysis Results |
| R-nmathresh | 0.1.6-lp153.14.5 | Thresholds and Invariant Intervals for Network Meta-Analysis |
| R-nmfbin | 0.2.1-lp153.1.5 | Non-Negative Matrix Factorization for Binary Data |
| R-NMFN | 2.0.1-lp153.1.8 | Non-Negative Matrix Factorization |
| R-NMI | 2.0-lp153.2.13 | Normalized Mutual Information of Community Structure in Netw |
| R-Nmisc | 0.3.7-lp153.11.2 | Miscellaneous Functions Used at \'Numeract LLC\' |
| R-Nmix | 2.0.5-lp153.1.5 | Bayesian Inference on Univariate Normal Mixtures |
| R-nmm | 0.9-lp153.16.8 | Nonlinear Multivariate Models |
| R-NMOF | 2.8.0-lp153.1.5 | Numerical Methods and Optimization in Finance |
| R-NMproject | 0.6.9-lp153.5.7 | Script Based \'NONMEM\' Model Development |
| R-nmrrr | 1.0.0-lp153.5.2 | Binning and Visualizing NMR Spectra in Environmental Samples |
| R-NMTox | 0.1.0-lp153.2.2 | Dose-Response Relationship Analysis of Nanomaterial Toxicity |
| R-NMVANOVA | 1.1.0-lp153.2.13 | Novice Model Variation ANOVA |
| R-nmw | 0.1.5-lp153.1.5 | Understanding Nonlinear Mixed Effects Modeling for Populatio |
| R-nna | 0.0.2.1-lp153.2.13 | Nearest-Neighbor Analysis |
| R-nncc | 2.0.0-lp153.1.5 | Nearest Neighbors Matching of Case-Control Data |
| R-nndiagram | 1.0.0-lp153.1.5 | Generator of \'LaTeX\' Code for Drawing Neural Network Diagr |
| R-nnet | 7.3.19-194.138 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-50.1 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-lp154.192.1 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-lp153.192.1 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-56.163 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-56.163 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-lp153.1.26 | Feed-Forward Neural Networks and Multinomial Log-Linear Mode |
| R-nnet | 7.3.19-lp155.192.1 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-50.1 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-192.1 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-50.1 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-50.0.2.1.sr20240605 | Package provides recommended R-nnet |
| R-nnet | 7.3.19-194.138 | Package provides recommended R-nnet |
| R-nnetpredint | 1.2-lp153.2.13 | Prediction Intervals of Multi-Layer Neural Networks |
| R-nnGarrote | 1.0.4-lp153.3.7 | Non-Negative Garrote Estimation with Penalized Initial Estim |
| R-nngeo | 0.4.8-lp153.2.2 | k-Nearest Neighbor Join for Spatial Data |
| R-nnlasso | 0.3-lp153.2.13 | Non-Negative Lasso and Elastic Net Penalized Generalized Lin |
| R-nnls | 1.5-lp153.1.5 | The Lawson-Hanson algorithm for non-negative least squares ( |
| R-NNMIS | 1.0.1-lp153.2.13 | Nearest Neighbor Based Multiple Imputation for Survival Data |
| R-nnR | 0.1.0-lp153.1.4 | Neural Networks Made Algebraic |
| R-nnspat | 0.1.1-lp153.1.8 | Nearest Neighbor Methods for Spatial Patterns |
| R-nnt | 0.1.4-lp153.2.13 | The Number Needed to Treat (NNT) for Survival Endpoint |
| R-NNTbiomarker | 0.29.11-lp153.14.2 | Calculate Design Parameters for Biomarker Validation Studies |
| R-nnTensor | 1.3.0-lp153.2.2 | Non-Negative Tensor Decomposition |
| R-nntrf | 0.1.4-lp153.7.8 | Supervised Data Transformation by Means of Neural Network Hi |
| R-NO.PING.PONG | 0.1.8.7-lp153.2.2 | Incorporating Previous Findings When Evaluating New Data |
| R-noaaoceans | 0.3.0-lp153.7.4 | Collect Ocean Data from NOAA |
| R-noaastormevents | 0.2.0-lp153.32.2 | Explore NOAA Storm Events Database |
| R-noah | 0.1.0-lp153.13.2 | Create Unique Pseudonymous Animal Names |
| R-NobBS | 1.0.0-lp153.1.4 | Nowcasting by Bayesian Smoothing |
| R-noctua | 2.6.2-lp153.3.4 | Connect to \'AWS Athena\' using R \'AWS SDK\' \'paws\' (\'DB |
| R-nodbi | 0.4.3-lp153.1.12 | \'NoSQL\' Database Connector |
| R-node2vec | 0.1.0-lp153.15.4 | Algorithmic Framework for Representational Learning on Graph |
| R-nodeHarvest | 0.7.3-lp153.2.13 | Node Harvest for Regression and Classification |
| R-nodiv | 1.4.2-lp153.2.4 | Compares the Distribution of Sister Clades Through a Phyloge |
| R-nofrills | 0.3.2-lp153.2.5 | Low-Cost Anonymous Functions |
| R-noia | 0.97.3-lp153.1.5 | Implementation of the Natural and Orthogonal InterAction (NO |
| R-noisyCE2 | 1.1.0-lp153.2.13 | Cross-Entropy Optimisation of Noisy Functions |
| R-noisySBM | 0.1.4-lp153.12.5 | Noisy Stochastic Block Mode: Graph Inference by Multiple Tes |
| R-nolock | 1.1.0-lp153.2.2 | Append \'WITH (NOLOCK)\' to \'SQL\' Queries, Get Packages in |
| R-nombre | 0.4.1-lp153.2.7 | Number Names |
| R-NominalLogisticBiplot | 0.2-lp153.4.10 | Biplot representations of categorical data |
| R-nomisr | 0.4.7-lp153.8.2 | Access \'Nomis\' UK Labour Market Data |
| R-nomnoml | 0.3.0-lp153.5.2 | Sassy \'UML\' Diagrams |
| R-nomogramEx | 3.0-lp153.31.2 | Extract Equations from a Nomogram |
| R-nomogramFormula | 1.2.0.0-lp153.35.2 | Calculate Total Points and Probabilities for Nomogram |
| R-nomordR | 0.1-lp153.1.12 | Randomization Test for Sequences of Nominal Values |
| R-NonCompart | 0.7.0-lp153.1.4 | Noncompartmental Analysis for Pharmacokinetic Data |
| R-noncomplyR | 1.0-lp153.4.11 | Bayesian Analysis of Randomized Experiments with Non-Complia |
| R-nonLinearDotPlot | 0.5.0-lp153.1.5 | Non Linear Dot Plots |
| R-nonlinearICP | 0.1.2.1-lp153.8.2 | Invariant Causal Prediction for Nonlinear Models |
| R-nonmem2R | 0.2.5-lp153.2.2 | Loading NONMEM Output Files with Functions for Visual Predic |
| R-nonmemica | 1.0.8-lp153.2.2 | Create and Evaluate NONMEM Models in a Project Context |
| R-NonNorMvtDist | 1.0.2-lp153.3.7 | Multivariate Lomax (Pareto Type II) and Its Related Distribu |
| R-nonpar | 1.0.2-lp153.2.13 | A Collection of Nonparametric Hypothesis Tests |
| R-nonparaeff | 0.5.13-lp153.19.2 | Nonparametric Methods for Measuring Efficiency and Productiv |
| R-nonparametric.bayes | 0.0.1-lp153.5.4 | Project Code - Nonparametric Bayes |
| R-NonParRolCor | 0.8.0-lp153.3.4 | a Non-Parametric Statistical Significance Test for Rolling W |
| R-nontarget | 1.9-lp153.2.13 | Detecting Isotope, Adduct and Homologue Relations in LC-MS D |
| R-nontargetData | 1.1-lp153.2.13 | Quantized simulation data of isotope pattern centroids |
| R-nor1mix | 1.3.3-lp153.2.2 | Normal aka Gaussian 1-d Mixture Models |
| R-nord | 1.0.0-lp153.14.5 | Arctic Ice Studio\'s Nord and Group of Seven Inspired Colour |
| R-nordklimdata1 | 1.2-lp153.2.13 | Dataset for Climate Analysis with Data from the Nordic Regio |
| R-norgeo | 2.3.1-lp153.2.4 | Tracking Geo Code Change of Regional Granularity in Norway |
| R-norm | 1.0.11.1-lp153.1.5 | Analysis of multivariate normal datasets with missing values |
| R-norm2 | 2.0.4-lp153.1.13 | Analysis of Incomplete Multivariate Data under a Normal Mode |
| R-NORMA | 0.1-lp153.2.13 | Builds General Noise SVRs |
| R-NormalBetaPrime | 2.2-lp153.3.11 | Normal Beta Prime Prior |
| R-NormalGamma | 1.1-lp153.2.13 | Normal-gamma convolution model |
| R-normaliseR | 0.1.2-lp153.2.2 | Re-Scale Vectors and Time-Series Features |
| R-normalize | 0.1.0-lp153.1.4 | Centering and Scaling of Numeric Data |
| R-normalizeH | 1.0.0-lp153.1.8 | Normalize Hadamard Matrix |
| R-NormalLaplace | 0.3.1-lp153.1.4 | The Normal Laplace Distribution |
| R-normalp | 0.7.2.1-lp153.1.4 | Routines for Exponential Power Distribution |
| R-normalr | 1.0.0-lp153.13.2 | Normalisation of Multiple Variables in Large-Scale Datasets |
| R-NormExpression | 0.1.1-lp153.2.2 | Normalize Gene Expression Data using Evaluated Methods |
| R-normfluodbf | 1.4.3-lp153.1.5 | Cleans and Normalizes \'FLUOstar\' \'DBF\' Files |
| R-NormPsy | 1.0.8-lp153.6.5 | Normalisation of Psychometric Tests |
| R-NORMT3 | 1.0.4-lp153.1.9 | Evaluates Complex Erf, Erfc, Faddeeva, and Density of Sum of |
| R-normtest | 1.1-lp153.2.13 | Tests for Normality |
| R-normwhn.test | 1.0-lp153.2.13 | Normality and White Noise Testing |
| R-nortest | 1.0.4-lp153.2.13 | Tests for Normality |
| R-nortestARMA | 1.0.2-lp153.2.13 | Neyman Smooth Tests of Normality for the Errors of ARMA Mode |
| R-nos | 2.0.0-lp153.2.2 | Compute Node Overlap and Segregation in Ecological Networks |
| R-nose | 1.0-lp153.2.13 | nose Package for R |
| R-nosoi | 1.1.2-lp153.1.4 | A Forward Agent-Based Transmission Chain Simulator |
| R-NostalgiR | 1.0.2-lp153.2.13 | Advanced Text-Based Plots |
| R-not | 1.5-lp153.1.7 | Narrowest-Over-Threshold Change-Point Detection |
| R-notebookutils | 1.5.3-lp153.2.2 | Dummy R APIs Used in \'Azure Synapse Analytics\' for Local D |
| R-notifyme | 0.3.0-lp153.14.7 | Send Alerts to your Cellphone and Phillips Hue Lights |
| R-notifyR | 1.02-lp153.3.12 | Send push notifications to your smartphone via pushover.net |
| R-NovelDistns | 0.1.0-lp153.1.9 | Computes PDF, CDF, Quantile, Random Numbers and Measures of |
| R-novelforestSG | 2.1.0-lp153.1.4 | Dataset from the Novel Forests of Singapore |
| R-nowcastDFM | 1.0.0-lp153.3.11 | DFMs for Nowcasting |
| R-noweb | 1.1.4-lp153.1.4 | The \'noweb\' System for R |
| R-Nozzle.R1 | 1.1.1.1-lp153.1.8 | Nozzle Reports |
| R-np | 0.60.17-lp153.1.5 | Nonparametric kernel smoothing methods for mixed data types |
| R-nparACT | 0.8-lp153.15.2 | Non-Parametric Measures of Actigraphy Data |
| R-nparcomp | 3.0-lp153.2.13 | Multiple Comparisons and Simultaneous Confidence Intervals |
| R-nparLD | 2.2-lp153.1.8 | Nonparametric Analysis of Longitudinal Data in Factorial Exp |
| R-nparMD | 0.2.1-lp153.1.11 | Nonparametric Analysis of Multivariate Data in Factorial Des |
| R-nparsurv | 0.1.0-lp153.2.13 | Nonparametric Tests for Main Effects, Simple Effects and Int |
| R-npbr | 1.8-lp153.1.5 | Nonparametric Boundary Regression |
| R-NPC | 1.1.0-lp153.8.11 | Nonparametric Combination of Hypothesis Tests |
| R-NPCD | 1.0.11-lp153.2.13 | Nonparametric Methods for Cognitive Diagnosis |
| R-npclust | 0.1.0-lp153.1.5 | Nonparametric Tests for Incomplete Clustered Data |
| R-npcopTest | 1.03-lp153.2.13 | Non Parametric Test for Detecting Changes in the Copula |
| R-npcp | 0.2.5-lp153.1.7 | Some Nonparametric CUSUM Tests for Change-Point Detection in |
| R-npcure | 0.1.5-lp153.2.13 | Nonparametric Estimation in Mixture Cure Models |
| R-npcurePK | 1.0.2-lp153.4.4 | Mixture Cure Model Estimation with Cure Status Partially Kno |
| R-npde | 3.5-lp153.1.4 | Normalised Prediction Distribution Errors for Nonlinear Mixe |
| R-npDoseResponse | 0.1-lp153.2.2 | Nonparametric Estimation and Inference on Dose-Response Curv |
| R-npExact | 0.2-lp153.2.13 | Exact Nonparametric Hypothesis Tests for the Mean, Variance |
| R-nph | 2.1-lp153.6.5 | Planning and Analysing Survival Studies under Non-Proportion |
| R-NPHazardRate | 0.1-lp153.2.13 | Nonparametric Hazard Rate Estimation |
| R-NPHMC | 2.3-lp153.1.9 | Sample Size Calculation for the Proportional Hazards Mixture |
| R-nphPower | 1.1.0-lp153.2.2 | Sample Size Calculation under Non-Proportional Hazards |
| R-npi | 0.2.0-lp153.6.2 | Access the U.S. National Provider Identifier Registry API |
| R-NPIstats | 0.1.0-lp153.11.7 | Nonparametric Predictive Inference |
| R-nplplot | 4.7-lp153.1.4 | Plotting Linkage and Association Results |
| R-nplr | 0.1.7-lp153.2.13 | N-Parameter Logistic Regression |
| R-nplyr | 0.2.0-lp153.2.2 | A Grammar of Nested Data Manipulation |
| R-npm | 1.0.0-lp153.2.8 | Interact with \'NPM\' |
| R-npmlda | 1.0.0-lp153.2.13 | Nonparametric Models for Longitudinal Data |
| R-NPMLEcmprsk | 3.0-lp153.2.20 | Type-Specific Failure Rate and Hazard Rate on Competing Risk |
| R-NPMLEmix | 1.2-lp153.17.10 | Two-Groups Mixture Model with Covariates |
| R-NPMLENCC | 1.0-lp153.2.13 | Non-Parametric Maximum Likelihood Estimate for Cohort Sampli |
| R-npmlreg | 0.46.5-lp153.2.13 | Nonparametric Maximum Likelihood Estimation for Random Effec |
| R-npmr | 1.3.1-lp153.1.4 | Nuclear Penalized Multinomial Regression |
| R-npmv | 2.4.0-lp153.2.13 | Nonparametric Comparison of Multivariate Samples |
| R-NPMVCP | 1.1-lp153.2.13 | Nonparametric Multivariate Change Point Model |
| R-npordtests | 1.2-lp153.2.13 | Nonparametric Tests for Equality of Location Against Ordered |
| R-NPP | 0.6.0-lp153.1.4 | Normalized Power Prior Bayesian Analysis |
| R-nppbib | 1.2.0-lp153.2.13 | Nonparametric Partially-Balanced Incomplete Block Design Ana |
| R-npphen | 2.0.0-lp153.2.4 | Vegetation Phenological Cycle and Anomaly Detection using Re |
| R-nprcgenekeepr | 1.0.5-lp153.7.8 | Genetic Tools for Colony Management |
| R-npreg | 1.1.0-lp153.2.2 | Nonparametric Regression via Smoothing Splines |
| R-npregderiv | 1.0-lp153.2.13 | Nonparametric Estimation of the Derivatives of a Regression |
| R-npregfast | 1.5.2-lp153.7.2 | Nonparametric Estimation of Regression Models with Factor-by |
| R-nproc | 2.1.5-lp153.5.7 | Neyman-Pearson (NP) Classification Algorithms and NP Receive |
| R-npROCRegression | 1.0.7-lp153.1.5 | Kernel-Based Nonparametric ROC Regression Modelling |
| R-nprotreg | 1.1.1-lp153.1.5 | Nonparametric Rotations for Sphere-Sphere Regression |
| R-NPS | 1.1-lp153.2.13 | Convenience Functions and Tests for Working With the Net Pro |
| R-npsf | 0.8.0-lp153.3.8 | Nonparametric and Stochastic Efficiency and Productivity Ana |
| R-NPsimex | 0.2.1-lp153.2.13 | Nonparametric Smoothing for contaminated data using Simulati |
| R-npsm | 2.0.0-lp153.2.2 | Nonparametric Statistical Methods |
| R-npsp | 0.7.13-lp153.1.4 | Nonparametric Spatial Statistics |
| R-npsr | 0.1.1-lp153.2.13 | Validate Instrumental Variables using NPS |
| R-npst | 2.0-lp153.2.13 | Generalization of Hewitt\'s Seasonality Test |
| R-npsurv | 0.5.0-lp153.2.13 | Nonparametric Survival Analysis |
| R-npsurvSS | 1.1.0-lp153.2.2 | Sample Size and Power Calculation for Common Non-Parametric |
| R-nptest | 1.1-lp153.1.5 | Nonparametric Bootstrap and Permutation Tests |
| R-npwbs | 0.2.0-lp153.1.12 | Nonparametric Multiple Change Point Detection Using WBS |
| R-nrba | 0.3.1-lp153.4.2 | Methods for Conducting Nonresponse Bias Analysis (NRBA) |
| R-nRegression | 0.5.1-lp153.1.5 | Simulation-Based Calculations of Sample Size for Linear and |
| R-NRejections | 1.2.0-lp153.3.7 | Metrics for Multiple Testing with Correlated Outcomes |
| R-nricens | 1.6-lp153.2.13 | NRI for Risk Prediction Models with Time to Event and Binary |
| R-NSAE | 0.4.0-lp153.2.8 | Nonstationary Small Area Estimation |
| R-nsapi | 0.1.1-lp153.3.7 | Connect to the NS (Dutch Railways) API |
| R-nsarfima | 0.2.0.0-lp153.2.12 | Methods for Fitting and Simulating Non-Stationary ARFIMA Mod |
| R-nscancor | 0.7.0.6-lp153.1.5 | Non-Negative and Sparse CCA |
| R-NScluster | 1.3.6.1-lp153.1.5 | Simulation and Estimation of the Neyman-Scott Type Spatial C |
| R-nsdr | 0.1.1-lp153.1.12 | Nonlinear Sufficient Dimension Reduction |
| R-nse2r | 0.1.6-lp153.6.7 | Fetch Data from \'National Stock Exchange (India)\' |
| R-nseq | 0.1.1-lp153.2.2 | Count of Sequential Events |
| R-nseval | 0.5.1-lp153.1.4 | Tools for Lazy and Non-Standard Evaluation |
| R-nsga2R | 1.1-lp153.1.9 | Elitist Non-Dominated Sorting Genetic Algorithm |
| R-nsga3 | 0.0.3-lp153.18.4 | An Implementation of Non-Dominated Sorting Genetic Algorithm |
| R-nsgp | 1.0.5-lp153.2.13 | Non-Stationary Gaussian Process Regression |
| R-NSM3 | 1.18-lp153.7.2 | Functions and Datasets to Accompany Hollander, Wolfe, and Ch |
| R-nsm3data | 0.1-lp153.1.11 | Datasets to Accompany Hollander, Wolfe, and Chicken NSM3 |
| R-NSO1212 | 1.4.0-lp153.1.12 | National Statistical Office of Mongolia\'s Open Data API Han |
| R-nsp | 1.0.0-lp153.1.11 | Inference for Multiple Change-Points in Linear Models |
| R-nspmix | 1.5.0-lp153.2.13 | Nonparametric and Semiparametric Mixture Estimation |
| R-nsprcomp | 0.5.1.2-lp153.2.13 | Non-Negative and Sparse PCA |
| R-nsRFA | 0.7.17-lp153.2.2 | Non-Supervised Regional Frequency Analysis |
| R-nsROC | 1.1-lp153.17.4 | Non-Standard ROC Curve Analysis |
| R-nsrr | 0.2.0-lp153.3.12 | Interface to National Sleep Research Resource |
| R-NST | 3.1.10-lp153.11.2 | Normalized Stochasticity Ratio |
| R-NSUM | 1.0-lp153.4.11 | Network Scale Up Method |
| R-nsyllable | 1.0.1-lp153.1.11 | Count Syllables in Character Vectors |
| R-ntdr | 0.3.4-lp153.2.2 | Retrieve Data from the National Transit Database |
| R-NTLKwIEx | 0.1.0-lp153.1.4 | Computation of NTLKwIEx Distribution Properties |
| R-ntranova | 0.0.1-lp153.2.2 | Two Way Neutrosophic ANOVA |
| R-NTS | 1.1.3-lp153.1.5 | Nonlinear Time Series Analysis |
| R-ntsDists | 2.1.1-lp153.2.2 | Neutrosophic Distributions |
| R-NTSS | 0.1.3-lp153.1.2 | Nonparametric Tests in Spatial Statistics |
| R-NU.Learning | 1.5-lp153.1.5 | Nonparametric and Unsupervised Learning from Cross-Sectional |
| R-NUCOMBog | 1.0.4.2-lp153.2.13 | NUtrient Cycling and COMpetition Model Undisturbed Open Bog |
| R-NUETON | 0.1.0-lp153.1.4 | Nitrogen Use Efficiency Toolkit on Numerics |
| R-numberize | 1.0.0-lp153.1.2 | Convert Words to Numbers in Multiple Languages |
| R-numbers | 0.7.5-1.25 | Number-Theoretic Functions |
| R-numbers | 0.7.5-lp153.1.23 | Number-Theoretic Functions |
| R-numbers | 0.7.5-lp155.1.5 | Number-Theoretic Functions |
| R-numbers | 0.7.5-lp154.1.10 | Number-Theoretic Functions |
| R-numbers | 0.7.5-1.28 | Number-Theoretic Functions |
| R-numbers | 0.8.5-lp153.1.7 | Number-Theoretic Functions |
| R-numbersBR | 0.0.2-lp153.7.2 | Validate, Compare and Format Identification Numbers from Bra |
| R-numDeriv | 2016.8.1-2.30 | Accurate Numerical Derivatives |
| R-numDeriv | 2016.8.1-lp154.2.10 | Accurate Numerical Derivatives |
| R-numDeriv | 2016.8.1-2.38 | Accurate Numerical Derivatives |
| R-numDeriv | 2016.8.1-lp155.2.5 | Accurate Numerical Derivatives |
| R-numDeriv | 2016.8.1-lp153.2.27 | Accurate Numerical Derivatives |
| R-numDeriv | 2016.8.1.1-lp153.2.13 | Accurate Numerical Derivatives |
| R-numform | 0.7.0-lp153.1.12 | Tools to Format Numbers for Publication |
| R-numGen | 0.1.1-lp153.2.13 | Number Series Generator |
| R-numKM | 0.2.0-lp153.2.13 | Create a Kaplan-Meier Plot with Numbers at Risk |
| R-numOSL | 2.8-lp153.1.4 | Numeric Routines for Optically Stimulated Luminescence Datin |
| R-NutrienTrackeR | 1.3.0-lp153.3.2 | Food Composition Information and Dietary Assessment |
| R-nutriNetwork | 0.1.2-lp153.3.4 | Structure Learning with Copula Graphical Model |
| R-nutrition | 1.1.0-lp153.1.5 | Useful Functions for People on a Diet |
| R-NVAR | 0.1.0-lp153.1.4 | Nonlinear Vector Autoregression Models |
| R-nvctr | 0.1.4-lp153.2.13 | The n-vector Approach to Geographical Position Calculations |
| R-nvmix | 0.1.1-lp153.2.2 | Multivariate Normal Variance Mixtures |
| R-nws | 1.7.0.1-lp153.2.13 | R functions for NetWorkSpaces and Sleigh |
| R-nycflights13 | 1.0.2-lp153.6.5 | Flights that Departed NYC in 2013 |
| R-nycflights23 | 0.1.0-lp153.2.2 | Flights and Other Useful Metadata for NYC Outbound Flights i |
| R-nzelect | 0.4.0-lp153.2.13 | New Zealand Election Data |
| R-nzffdr | 2.1.0-lp153.4.2 | Import, Clean and Update Data from the New Zealand Freshwate |
| R-nzilbb.labbcat | 1.3.0-lp153.2.2 | Accessing Data Stored in \'LaBB-CAT\' Instances |
| R-nzpullover | 0.3.0-lp153.2.13 | Driving Offences in New Zealand Between 2009 and 2016 |
| R-oaColors | 0.0.4-lp153.2.13 | OpenAnalytics Colors Package |
| R-oai | 0.4.0-lp153.4.2 | General Purpose \'Oai-PMH\' Services Client |
| R-OAIHarvester | 0.3.4-lp153.2.4 | Harvest Metadata Using OAI-PMH Version 2.0 |
| R-oaii | 0.5.0-lp153.2.2 | \'OpenAI\' API R Interface |
| R-oaPlots | 0.0.25-lp153.14.5 | OpenAnalytics Plots Package |
| R-Oarray | 1.4.9-lp153.2.13 | Arrays with arbitrary offsets |
| R-OasisR | 3.1.0-lp153.1.5 | Outright Tool for the Analysis of Spatial Inequalities and S |
| R-oaxaca | 0.1.5-lp153.7.2 | Blinder-Oaxaca Decomposition |
| R-obAnalytics | 0.1.1-lp153.15.2 | Limit Order Book Analytics |
| R-OBASpatial | 1.9-lp153.2.7 | Objective Bayesian Analysis for Spatial Regression Models |
| R-obcost | 0.1.0-lp153.4.2 | Obesity Cost Database |
| R-objectProperties | 0.6.8-lp153.1.9 | A Factory of Self-Describing Properties |
| R-objectremover | 0.8.1-lp153.10.2 | \'RStudio\' Addin for Removing Objects from the Global Envir |
| R-objectSignals | 0.10.3-lp153.1.10 | Observer Pattern for S4 |
| R-oblicubes | 0.1.2-lp153.1.8 | 3D Rendering Using Obliquely Projected Cubes and Cuboids |
| R-obliqueRF | 0.3-lp153.2.12 | Oblique Random Forests from Recursive Linear Model Splits |
| R-OBMbpkg | 1.0.0-lp153.2.13 | Estimate the Population Size for the Mb Capture-Recapture Mo |
| R-OBRE | 0.2.0-lp153.1.5 | Optimal B-Robust Estimator Tools |
| R-obs.agree | 1.0-lp153.2.13 | An R package to assess agreement between observers. |
| R-Observation | 0.3.0-lp153.1.8 | Collect and Process Physical Activity Direct Observation Dat |
| R-observer | 0.1.2-lp153.15.2 | Observe and Check your Data |
| R-obsSens | 1.4-lp153.1.9 | Sensitivity Analysis for Observational Studies |
| R-oc | 1.2.1-lp153.1.7 | Optimal Classification Roll Call Analysis Software |
| R-OCA | 0.5-lp153.1.7 | Optimal Capital Allocations |
| R-occumb | 1.1.0-lp153.1.2 | Site Occupancy Modeling for Environmental DNA Metabarcoding |
| R-occUncertain | 0.1.0-lp153.1.5 | Addressing Occurrence Point Uncertainty When Calculating Spa |
| R-occupancy | 1.2-lp153.1.12 | Probability Functions for Occupancy Distributions |
| R-ocd | 1.1-lp153.2.13 | High-Dimensional Multiscale Online Changepoint Detection |
| R-oceanis | 1.8.5-lp153.13.3 | Cartography for Statistical Analysis |
| R-oceanmap | 0.1.6-lp153.4.2 | A Plotting Toolbox for 2D Oceanographic Data |
| R-OceanView | 1.0.6-lp153.12.5 | Visualisation of Oceanographic Data and Model Output |
| R-oceanwaves | 0.2.0-lp153.7.5 | Ocean Wave Statistics |
| R-oceCens | 0.1.2-lp153.1.5 | Ordered Composite Endpoints with Censoring |
| R-ocedata | 0.2.2-lp153.1.8 | Oceanographic Data Sets for \'oce\' Package |
| R-ockc | 1.1-lp153.2.7 | Order Constrained Solutions in k-Means Clustering |
| R-oclust | 0.2.0-lp153.1.7 | Gaussian Model-Based Clustering with Outliers |
| R-ocomposition | 1.1-lp153.3.7 | Regression for Rank-Indexed Compositional Data |
| R-ocp | 0.1.1-lp153.2.13 | Bayesian Online Changepoint Detection |
| R-ocs4R | 0.1-lp153.2.12 | Interface to Open Collaboration Services (OCS) REST API |
| R-OCSdata | 1.0.2-lp153.7.2 | Download Data from the \'Open Case Studies\' Repository |
| R-octopusR | 1.0.1-lp153.2.4 | Interact with the \'Octopus Energy\' API |
| R-OData | 0.6-lp153.3.12 | R Helper for OData Web Services |
| R-ODataQuery | 0.5.3-lp153.2.5 | Querying on \'OData\' |
| R-odbr | 0.1.0-lp153.2.2 | Download Data from Brazil\'s Origin Destination Surveys |
| R-oddnet | 0.1.1-lp153.2.2 | Anomaly Detection in Temporal Networks |
| R-odds.converter | 1.4.8-lp153.2.13 | Betting Odds Conversion |
| R-odds.n.ends | 0.1.4-lp153.1.12 | Odds Ratios, Contingency Table, and Model Significance from |
| R-oddsapiR | 0.0.3-lp153.2.4 | Access Live Sports Odds from the Odds API |
| R-oddsratio | 2.0.1-lp153.14.5 | Odds Ratio Calculation for GAM(M)s & GLM(M)s |
| R-oddstream | 0.5.0-lp153.20.4 | Outlier Detection in Data Streams |
| R-ODEnetwork | 1.3.2-lp153.2.13 | Network of Differential Equations |
| R-odetector | 1.0.1-lp153.2.7 | Outlier Detection Using Partitioning Clustering Algorithms |
| R-odfWeave | 0.8.4-1.24 | Sweave processing of Open Document Format (ODF) files |
| R-odfWeave | 0.8.4-1.39 | Sweave processing of Open Document Format (ODF) files |
| R-odfWeave | 0.8.4-lp153.1.23 | Sweave processing of Open Document Format (ODF) files |
| R-odin | 1.2.5-lp153.1.5 | ODE Generation and Integration |
| R-odk | 1.5-lp153.8.2 | Convert \'ODK\' or \'XLSForm\' to \'SPSS\' Data Frame |
| R-ODMeans | 0.2.1-lp153.2.2 | OD-Means: k-Means for Origin-Destination |
| R-odns | 1.0.2-lp153.1.7 | Access Scottish Health and Social Care Open Data |
| R-odr | 1.4.4-lp153.1.5 | Optimal Design and Statistical Power for Experimental Studie |
| R-ODS | 0.2.0-lp153.3.7 | Statistical Methods for Outcome-Dependent Sampling Designs |
| R-OECD | 0.2.5-lp153.3.4 | Search and Extract Data from the OECD |
| R-OEFPIL | 0.1.1-lp153.7.7 | Optimal Estimation of Function Parameters by Iterated Linear |
| R-oenb | 0.0.2-lp153.10.7 | Tools for the OeNB Data Web Service |
| R-oesr | 0.1.0-lp153.4.2 | Methods for the Office of Evaluation Sciences |
| R-oews2020 | 1.0.0-lp153.1.8 | May 2020 Occupational Employment and Wage Statistics |
| R-oews2021 | 1.0.0-lp153.1.8 | May 2021 Occupational Employment and Wage Statistics |
| R-offsetreg | 1.1.0-lp153.2.2 | An Extension of \'Tidymodels\' Supporting Offset Terms |
| R-ofGEM | 1.0-lp153.3.8 | A Meta-Analysis Approach with Filtering for Identifying Gene |
| R-OGI | 1.0.0-lp153.2.13 | Objective General Index |
| R-oglmx | 3.0.0.0-lp153.3.12 | Estimation of Ordered Generalized Linear Models |
| R-OHCSpackage | 0.1.5-lp153.2.2 | Prepare Housing Data for Analysis |
| R-Ohit | 1.0.0-lp153.2.13 | OGA+HDIC+Trim and High-Dimensional Linear Regression Models |
| R-ohtadstats | 2.1.1-lp153.2.13 | Tomoka Ohta D Statistics |
| R-OIdata | 1.0-lp153.2.13 | Data sets and supplements (OpenIntro) |
| R-OjaNP | 1.0.0-lp153.2.14 | Multivariate Methods Based on the Oja Median and Related Con |
| R-ojsr | 0.1.2-lp153.15.4 | Crawler and Data Scraper for Open Journal System (\'OJS\') |
| R-okcupiddata | 0.1.0-lp153.2.13 | OkCupid Profile Data for Introductory Statistics and Data Sc |
| R-okmesonet | 0.1.5-lp153.2.13 | Retrieve Oklahoma Mesonet climatological data |
| R-OkNNE | 1.0.1-lp153.2.7 | A k-Nearest Neighbours Ensemble via Optimal Model Selection |
| R-okxAPI | 0.1.1-lp153.1.5 | An Unofficial Wrapper for \'okx exchange v5\' API |
| R-OLCPM | 0.1.2-lp153.2.2 | Online Change Point Detection for Matrix-Valued Time Series |
| R-oldbailey | 1.1.0-lp153.1.5 | For Accessing the Old Bailey Open Data |
| R-ollg | 1.0.0-lp153.1.10 | Computes some Measures of OLL-G Family of Distributions |
| R-ollggamma | 1.0.2-lp153.2.13 | Odd Log-Logistic Generalized Gamma Probability Distribution |
| R-olr | 1.1-lp153.3.7 | Optimal Linear Regression |
| R-OLScurve | 0.2.0-lp153.2.13 | OLS growth curve trajectories |
| R-OLStrajr | 0.1.0-lp153.3.2 | Ordinary Least Squares Trajectory Analysis |
| R-OlympicRshiny | 1.0.1-lp153.2.3 | \'Shiny\' Application for Olympic Data |
| R-omd | 1.0-lp153.2.13 | filter the molecular descriptors for QSAR |
| R-OmegaG | 1.0.1-lp153.1.13 | Omega-Generic: Composite Reliability of Multidimensional Mea |
| R-OmicKriging | 1.4.0-lp153.3.12 | Poly-Omic Prediction of Complex TRaits |
| R-OmicNavigator | 1.13.13-lp153.1.5 | Open-Source Software for \'Omic\' Data Analysis and Visualiz |
| R-OmicSense | 0.2.0-lp153.1.5 | Biosensor Development using Omics Data |
| R-OmicsPLS | 2.0.2-lp153.8.7 | Data Integration with Two-Way Orthogonal Partial Least Squar |
| R-omicsTools | 1.0.5-lp153.4.2 | Omics Data Process Toolbox |
| R-omicwas | 0.8.0-lp153.19.2 | Cell-Type-Specific Association Testing in Bulk Omics Experim |
| R-OmnibusFisher | 1.0-lp153.8.2 | A Modified Fisher’s Method to Test Overall Gene-Level Effe |
| R-omopr | 0.2-lp153.15.5 | OMOP CDM Databases using the Tidyverse |
| R-ompr | 1.0.4-lp153.1.5 | Model and Solve Mixed Integer Linear Programs |
| R-ompr.roi | 1.0.2-lp153.1.5 | A Solver for \'ompr\' that Uses the R Optimization Infrastru |
| R-omsvg | 0.1.0-lp153.14.8 | Build and Transform \'SVG\' Objects |
| R-onadata | 0.1-lp153.1.11 | Data Sets for Keith McNulty\'s Handbook of Graphs and Networ |
| R-OnAge | 1.0.1-lp153.2.13 | Test of Between-Group Differences in the Onset of Senescence |
| R-onbabynames | 0.0.1-lp153.6.5 | Names Given to Babies in Ontario Between 1917 and 2018 |
| R-OnboardClient | 1.0.0-lp153.7.2 | Bindings for Onboard Data\'s Building Data API |
| R-once | 0.4.1-lp153.1.8 | Execute Expensive Operations Only Once |
| R-oncomodel | 1.0-lp153.6.12 | Maximum likelihood tree models for oncogenesis |
| R-Oncotree | 0.3.5-lp153.1.5 | Estimating Oncogenetic Trees |
| R-OneArmTTE | 1.0-lp153.6.2 | One-Arm Clinical Trial Designs for Time-to-Event Endpoint |
| R-onehot | 0.1.1-lp153.2.13 | Fast Onehot Encoding for Data.frames |
| R-onemapsgapi | 1.1.0-lp153.5.7 | R Wrapper for the \'OneMap.Sg API\' |
| R-onepass | 0.1.2-lp153.1.12 | 1password Credential Retrieval |
| R-OneR | 2.2-lp153.2.13 | One Rule Machine Learning Classification Algorithm with Enha |
| R-ONEST | 0.1.0-lp153.1.12 | Observers Needed to Evaluate Subjective Tests |
| R-onetime | 0.2.0-lp153.1.5 | Run Code Only Once |
| R-ONETr | 1.0.3-lp153.5.7 | Efficient Authenticated Interaction with the O*NET API |
| R-OneTwoSamples | 1.1.0-lp153.1.5 | Deal with One and Two (Normal) Samples |
| R-onion | 1.5.3-lp153.2.2 | octonions and quaternions |
| R-onlineCOV | 1.3-lp153.2.13 | Online Change Point Detection in High-Dimensional Covariance |
| R-onlineretail | 0.1.2-lp153.1.12 | Online Retail Dataset |
| R-onls | 0.1.2-lp153.1.7 | Orthogonal Nonlinear Least-Squares Regression |
| R-onnx | 0.0.3-lp153.6.5 | R Interface to \'ONNX\' |
| R-OnomasticDiversity | 0.1-lp153.1.4 | Onomastic Diversity Measures |
| R-onsr | 1.0.2-lp153.1.4 | Client for the \'ONS\' API |
| R-onsvplot | 0.3.2-lp153.1.5 | National Road Safety Observatory (ONSV) Style for \'ggplot2\ |
| R-ontoFAST | 1.0.0-lp153.13.2 | Interactive Annotation of Characters with Biological Ontolog |
| R-ontologics | 0.1.0-lp153.1.9 | Code-Logics to Handle Ontologies |
| R-ontologyIndex | 2.12-lp153.1.3 | Reading Ontologies into R |
| R-ontophylo | 1.1.3-lp154.2.1 | Ontology-Informed Phylogenetic Comparative Analyses |
| R-ontophylo | 1.1.3-lp153.2.1 | Ontology-Informed Phylogenetic Comparative Analyses |
| R-ontophylo | 1.1.3-lp155.2.1 | Ontology-Informed Phylogenetic Comparative Analyses |
| R-OOBCurve | 0.3-lp153.14.2 | Out of Bag Learning Curve |
| R-OOI | 0.1.0-lp153.2.13 | Outside Option Index |
| R-OOmisc | 1.2-lp153.2.13 | Ozgur-Ozlem Miscellaneous |
| R-oompaBase | 3.2.9-lp153.2.13 | Class Unions, Matrix Operations, and Color Schemes for OOMPA |
| R-oompaData | 3.1.4-lp153.2.2 | Data to Illustrate OOMPA Algorithms |
| R-ooplah | 0.2.0-lp153.1.11 | Helper Functions for Class Object-Oriented Programming |
| R-oops | 0.2.0-lp153.1.11 | S3 Style Object Oriented Programming |
| R-OOR | 0.1.4-lp153.1.5 | Optimistic Optimization in R |
| R-oottest | 0.9.1-lp153.1.9 | Out-of-Treatment Testing |
| R-OpasnetUtils | 1.3-lp153.7.10 | Opasnet Modelling Environment Utility Functions |
| R-OPC | 0.0.2-lp153.1.5 | The Online Principal Component Estimation Method |
| R-opdisDownsampling | 1.0.1-lp153.2.2 | Optimal Distribution Preserving Down-Sampling of Bio-Medical |
| R-OPDOE | 1.0.10-lp153.2.13 | Optimal Design of Experiments |
| R-openadds | 0.2.0-lp153.13.5 | Client to Access \'Openaddresses\' Data |
| R-openai | 0.4.1-lp153.1.5 | R Wrapper for OpenAI API |
| R-openairmaps | 0.9.0-lp153.1.2 | Create Maps of Air Pollution Data |
| R-openaistream | 0.3.0-lp153.1.2 | Streaming Capabilities for \'OpenAI API\' Interactions |
| R-openbankeR | 0.1.1-lp153.8.2 | R Client for Querying the UK \'Open Banking\' (\'Open Data\' |
| R-openblender | 0.5.81-lp153.2.12 | Request API Services |
| R-opencage | 0.2.2-lp153.14.2 | Geocode with the OpenCage API |
| R-opencastR | 0.1.3-lp153.1.13 | \'Opencast\' External API Package |
| R-OpenCL | 0.2.4-1.12 | Interface allowing R to use OpenCL |
| R-OpenCL | 0.2.10-lp153.1.4 | Interface allowing R to use OpenCL |
| R-OpenCL | 0.2.4-lp155.1.5 | Interface allowing R to use OpenCL |
| R-OpenCL | 0.2.4-lp153.1.11 | Interface allowing R to use OpenCL |
| R-OpenCL | 0.2.4-lp154.1.10 | Interface allowing R to use OpenCL |
| R-OpenCL | 0.2.4-1.14 | Interface allowing R to use OpenCL |
| R-opendotaR | 0.1.4-lp153.16.7 | Interface for OpenDota API |
| R-openEBGM | 0.9.1-lp153.1.5 | EBGM Disproportionality Scores for Adverse Event Data Mining |
| R-openintro | 2.5.0-lp153.2.2 | Datasets and Supplemental Functions from \'OpenIntro\' Textb |
| R-OpenLand | 1.0.3-lp153.2.2 | Quantitative Analysis and Visualization of LUCC |
| R-openmetrics | 0.3.0-lp153.3.12 | A \'Prometheus\' Client for R Using the \'OpenMetrics\' Form |
| R-OpenMindat | 1.0.0-lp153.3.2 | Quickly Retrieve Datasets from the \'mindat.org\' API |
| R-OpenML | 1.12-lp153.3.2 | Open Machine Learning and Open Data Platform |
| R-OpenMPController | 0.2.5-lp153.2.13 | Control Number of OpenMP Threads Dynamically |
| R-opensensmapr | 0.6.0-lp153.2.5 | Client for the Data API of \'openSenseMap.org\' |
| R-openSkies | 0.99.8-lp153.2.13 | An R Client-Side Interface to the \'OpenSky\' API |
| R-openssl | 1.1-lp154.4.10 | Toolkit for Encryption, Signatures and Certificates Based on |
| R-openssl | 1.1-lp155.4.5 | Toolkit for Encryption, Signatures and Certificates Based on |
| R-openssl | 1.1-lp153.4.28 | Toolkit for Encryption, Signatures and Certificates Based on |
| R-openssl | 1.1-4.37 | Toolkit for Encryption, Signatures and Certificates Based on |
| R-openssl | 1.1-4.31 | Toolkit for Encryption, Signatures and Certificates Based on |
| R-openssl-doc | 1.1-lp153.4.28 | Documentation for R-openssl |
| R-openssl-doc | 1.1-lp155.4.5 | Documentation for R-openssl |
| R-openssl-doc | 1.1-4.31 | Documentation for R-openssl |
| R-openssl-doc | 1.1-4.37 | Documentation for R-openssl |
| R-openssl-doc | 1.1-lp154.4.10 | Documentation for R-openssl |
| R-openSTARS | 1.2.3-lp153.7.5 | An Open Source Implementation of the \'ArcGIS\' Toolbox \'ST |
| R-opentraj | 1.0-lp153.9.10 | Tools for Creating and Analysing Air Trajectory Data |
| R-OpenTreeChronograms | 2022.1.28-lp153.16.3 | Open Tree of Life Chronograms |
| R-opentripplanner | 0.5.2-lp153.2.2 | Setup and connect to \'OpenTripPlanner\' |
| R-openxlsx | 4.0.17-2.32 | Read, Write and Edit XLSX Files |
| R-openxlsx | 4.0.17-lp155.2.5 | Read, Write and Edit XLSX Files |
| R-openxlsx | 4.0.17-lp153.2.25 | Read, Write and Edit XLSX Files |
| R-openxlsx | 4.0.17-lp154.2.10 | Read, Write and Edit XLSX Files |
| R-openxlsx | 4.0.17-2.60 | Read, Write and Edit XLSX Files |
| R-operator.tools | 1.6.3-lp153.2.13 | Utilities for Working with R\'s Operators |
| R-operators | 0.1.8-lp153.2.13 | Additional Binary Operators |
| R-OPI | 2.10.1-lp153.1.11 | Open Perimetry Interface |
| R-Opportunistic | 1.2-lp153.2.13 | Routing Distribution, Broadcasts, Transmissions and Receptio |
| R-ops | 1.0-lp153.2.13 | Optimal Power Space Transformation |
| R-optAUC | 1.0-lp153.2.13 | Optimal Combinations of Diagnostic Tests Based on AUC |
| R-optband | 0.2.2-lp153.2.2 | \'surv\' Object Confidence Bands Optimized by Area |
| R-optbin | 1.3-lp153.1.4 | Optimal Binning of Data |
| R-optBiomarker | 1.0.28-lp153.12.5 | Estimation of Optimal Number of Biomarkers for Two-Group Mic |
| R-optCluster | 1.3.2-lp153.1.10 | Determine Optimal Clustering Algorithm and Number of Cluster |
| R-optDesignSlopeInt | 1.1.1-lp153.1.5 | Optimal Designs for Estimating the Slope Divided by the Inte |
| R-optedr | 2.0.0-lp153.7.2 | Calculating Optimal and D-Augmented Designs |
| R-optextras | 2019.12.4-lp153.2.13 | Tools to Support Optimization Possibly with Bounds and Masks |
| R-OptGS | 1.2-lp153.2.2 | Near-Optimal Group-Sequential Designs for Continuous Outcome |
| R-OptHedging | 1.0-lp153.2.13 | Estimation of value and hedging strategy of call and put opt |
| R-OptHoldoutSize | 0.1.0.0-lp153.3.7 | Estimation of Optimal Size for a Holdout Set for Updating a |
| R-optical | 1.7.1-lp153.1.5 | Optimal Item Calibration |
| R-opticskxi | 0.1-lp153.14.5 | OPTICS K-Xi Density-Based Clustering |
| R-opticut | 0.1.3-lp153.2.2 | Likelihood Based Optimal Partitioning and Indicator Species |
| R-optifunset | 1.0-lp153.2.13 | Set Options if Unset |
| R-optigrab | 0.9.2.1-lp153.6.2 | Command-Line Parsing for an R World |
| R-optim.functions | 0.1-lp153.6.2 | Standard Benchmark Optimization Functions |
| R-OptimalCutpoints | 1.1.5-lp153.1.12 | Computing Optimal Cutpoints in Diagnostic Tests |
| R-OptimalDesign | 1.0.1-lp153.17.5 | A Toolbox for Computing Efficient Designs of Experiments |
| R-optimall | 1.1.1-lp153.2.2 | Allocate Samples Among Strata |
| R-OptimalSurrogate | 1.0-lp153.1.8 | Model Free Approach to Quantifying Surrogacy |
| R-optimalThreshold | 1.0-lp153.2.12 | Bayesian Methods for Optimal Threshold Estimation |
| R-OptimalTiming | 0.1.0-lp153.9.5 | Optimal Timing Identification |
| R-optimbase | 1.0.10-lp153.1.11 | R Port of the \'Scilab\' Optimbase Module |
| R-OptimClassifier | 0.1.5-lp153.3.12 | Create the Best Train for Classification Models |
| R-optimg | 0.1.2-lp153.1.12 | General-Purpose Gradient-Based Optimization |
| R-optimizeR | 0.3.3-lp153.1.5 | Unified Framework for Numerical Optimizers |
| R-optimLanduse | 1.2.1-lp153.1.4 | Robust Land-Use Optimization |
| R-OptimModel | 2.0.1-lp153.2.2 | Perform Nonlinear Regression Using \'optim\' as the Optimiza |
| R-optimParallel | 1.0.2-lp153.1.13 | Parallel Version of the L-BFGS-B Optimization Method |
| R-optimr | 2019.12.16-lp153.3.9 | A Replacement and Extension of the \'optim\' Function |
| R-optimsimplex | 1.0.8-lp153.1.11 | R Port of the \'Scilab\' Optimsimplex Module |
| R-optimStrat | 2.4-lp153.3.2 | Choosing the Sample Strategy |
| R-OptInterim | 3.0.1-lp153.2.13 | Optimal Two and Three Stage Designs for Single-Arm and Two-A |
| R-optinterv | 0.1.0-lp153.31.4 | Optimal Intervention |
| R-optional | 2.0.1-lp153.1.9 | Optional Types and Pattern Matching |
| R-OptionPricing | 0.1.2-lp153.1.5 | Option Pricing with Efficient Simulation Algorithms |
| R-options | 0.2.0-lp153.2.2 | Simple, Consistent Package Options |
| R-optionstrat | 1.4.1-lp153.2.13 | Utilizes the Black-Scholes Option Pricing Model to Perform S |
| R-optiRum | 0.40.1-lp153.10.11 | Financial Functions & More |
| R-optiscale | 1.2.3-lp153.2.2 | Optimal Scaling |
| R-optiSolve | 1.0-lp153.10.5 | Linear, Quadratic, and Rational Optimization |
| R-optistock | 0.0.2-lp153.1.5 | Determine Optimum Stocking Times Used in Fishery Enhancement |
| R-optpart | 3.0.3-lp153.3.7 | Optimal Partitioning of Similarity Relations |
| R-optR | 1.2.5-lp153.2.13 | Optimization Toolbox for Solving Linear Systems |
| R-optrees | 1.0-lp153.2.13 | Optimal Trees in Weighted Graphs |
| R-optrefine | 1.1.0-lp153.1.5 | Optimally Refine Strata |
| R-OPTS | 0.1-lp153.1.9 | Optimization via Subsampling (OPTS) |
| R-OptSig | 2.2-lp153.1.8 | Optimal Level of Significance for Regression and Other Stati |
| R-OPTtesting | 1.0.0-lp153.2.7 | Optimal Testing |
| R-optweight | 0.2.5-lp153.14.7 | Targeted Stable Balancing Weights Using Optimization |
| R-OpVaR | 1.2-lp153.3.7 | Statistical Methods for Modelling Operational Risk |
| R-OralOpioids | 2.0.3-lp153.2.4 | Retrieving Oral Opioid Information |
| R-ORCI | 1.1-lp153.2.13 | Several confidence intervals for the odds ratio |
| R-orclus | 0.2.6-lp153.2.13 | Subspace Clustering Based on Arbitrarily Oriented Projected |
| R-orcutt | 2.3-lp153.2.13 | Estimate Procedure in Case of First Order Autocorrelation |
| R-OrdCD | 1.1.2-lp153.2.2 | Ordinal Causal Discovery |
| R-ordcrm | 1.0.0-lp153.31.2 | Likelihood-Based Continual Reassessment Method (CRM) Dose Fi |
| R-ordDisp | 2.1.1-lp153.2.13 | Separating Location and Dispersion in Ordinal Regression Mod |
| R-orddom | 3.1-lp153.2.13 | Ordinal Dominance Statistics |
| R-ORDER2PARENT | 1.0-lp153.2.13 | Estimate parent distributions with data of several order sta |
| R-orderbook | 1.03-lp153.2.13 | Orderbook visualization/Charting software |
| R-ordering | 0.7.0-lp153.2.13 | Test, Check, Verify, Investigate the Monotonic Properties of |
| R-orderly | 1.4.3-lp153.8.3 | Lightweight Reproducible Reporting |
| R-orders | 0.1.8-lp153.1.4 | Sampling from k-th Order Statistics of New Families of Distr |
| R-orderstats | 0.1.0-lp153.2.13 | Efficiently Generates Random Order Statistic Variables |
| R-OrdFacReg | 1.0.6-lp153.2.13 | Least Squares, Logistic, and Cox-Regression with Ordered Pre |
| R-ordgam | 0.9.1-lp153.1.5 | Additive Model for Ordinal Data using Laplace P-Splines |
| R-ordiBreadth | 1.0-lp153.2.13 | Ordinated Diet Breadth |
| R-ordinal | 2018.4.19-lp154.1.10 | Regression Models for Ordinal Data |
| R-ordinal | 2018.4.19-1.30 | Regression Models for Ordinal Data |
| R-ordinal | 2018.4.19-lp153.1.23 | Regression Models for Ordinal Data |
| R-ordinal | 2018.4.19-lp155.1.5 | Regression Models for Ordinal Data |
| R-ordinal | 2018.4.19-1.38 | Regression Models for Ordinal Data |
| R-ordinalCont | 2.0.2-lp153.2.13 | Ordinal Regression Analysis for Continuous Scales |
| R-ordinalgmifs | 1.0.8-lp153.1.5 | Ordinal Regression for High-Dimensional Data |
| R-ordinalLBM | 1.0-lp153.6.2 | Co-Clustering of Ordinal Data via Latent Continuous Random V |
| R-OrdinalLogisticBiplot | 0.4-lp153.4.10 | Biplot representations of ordinal variables |
| R-ordinalNet | 2.12-lp153.1.10 | Penalized Ordinal Regression |
| R-ordinalRR | 1.1-lp153.2.12 | Analysis of Repeatability and Reproducibility Studies with O |
| R-OrdMonReg | 1.0.3-lp153.2.13 | Compute least squares estimates of one bounded or two ordere |
| R-OrdNor | 2.2.3-lp153.1.13 | Concurrent Generation of Ordinal and Normal Data with Given |
| R-ordr | 0.1.1-lp153.6.2 | A \'tidyverse\' Extension for Ordinations and Biplots |
| R-ore | 1.7.4.1-lp153.1.4 | An R Interface to the Onigmo Regular Expression Library |
| R-oreo | 1.0-lp153.7.2 | Large Amplitude Oscillatory Shear (LAOS) |
| R-ores | 0.3.2-lp153.2.12 | Connector to the Objective Revision Evaluation Service (ORES |
| R-ORFID | 1.0.2-lp153.6.2 | Manage and Summarize Data from Oregon RFID ORMR and ORSR Ant |
| R-org | 2024.6.5-lp153.1.2 | Organising Projects |
| R-organizr | 0.1.0-lp153.6.2 | Shortcuts for File Creation with Informative Prefixes |
| R-OrgMassSpecR | 0.5.3-lp153.2.13 | Organic Mass Spectrometry |
| R-orgR | 0.9.0-lp153.18.2 | Analyse Text Files Created by Emacs\' Org mode |
| R-orgutils | 0.5.0-lp153.1.4 | Helper Functions for Org Files |
| R-ORIClust | 1.0.2-lp153.1.8 | Order-Restricted Information Criterion-Based Clustering Algo |
| R-orientlib | 0.10.3-lp155.1.5 | Support for orientation data |
| R-orientlib | 0.10.3-1.25 | Support for orientation data |
| R-orientlib | 0.10.3-lp154.1.10 | Support for orientation data |
| R-orientlib | 0.10.3-1.38 | Support for orientation data |
| R-orientlib | 0.10.3-lp153.1.23 | Support for orientation data |
| R-orientlib | 0.10.5-lp153.1.7 | Support for orientation data |
| R-origami | 1.0.7-lp153.1.8 | Generalized Framework for Cross-Validation |
| R-OriGen | 1.4.3-lp153.8.13 | Fast Spatial Ancestry via Flexible Allele Frequency Surfaces |
| R-origin | 1.1.2-lp153.2.2 | Explicitly Qualifying Namespaces by Automatically Adding \'p |
| R-originr | 0.4.0-lp153.1.12 | Fetch Species Origin Data from the Web |
| R-ORION | 1.0.3-lp153.20.2 | Ordinal Relations |
| R-ORKM | 0.8.0.0-lp153.2.2 | The Online Regularized K-Means Clustering Algorithm |
| R-orloca | 5.6-lp153.4.2 | Operations Research LOCational Analysis Models |
| R-orloca | 4.2-1.38 | The package deals with Operations Research LOCational Analys |
| R-orloca | 4.2-1.28 | The package deals with Operations Research LOCational Analys |
| R-orloca | 4.2-lp154.1.10 | The package deals with Operations Research LOCational Analys |
| R-orloca | 4.2-lp155.1.5 | The package deals with Operations Research LOCational Analys |
| R-orloca | 4.2-lp153.1.26 | The package deals with Operations Research LOCational Analys |
| R-orloca.es | 4.1-2.24 | Spanish version of orloca package |
| R-orloca.es | 4.1-lp154.2.10 | Spanish version of orloca package |
| R-orloca.es | 4.1-2.38 | Spanish version of orloca package |
| R-orloca.es | 4.1-lp153.2.23 | Spanish version of orloca package |
| R-orloca.es | 4.1-lp155.2.5 | Spanish version of orloca package |
| R-orloca.es | 4.9-lp153.21.2 | Spanish version of orloca package. Modelos de localizacion e |
| R-ormBigData | 0.0.1-lp153.28.2 | Fitting Semiparametric Cumulative Probability Models for Big |
| R-ORMDR | 1.3.2-lp153.2.13 | ORMDR |
| R-ormPlot | 0.3.6-lp153.5.2 | Advanced Plotting of Ordinal Regression Models |
| R-oro.dicom | 0.5.3-lp153.3.7 | Rigorous - DICOM Input / Output |
| R-oro.nifti | 0.11.4-lp153.2.7 | Rigorous - \'NIfTI\' + \'ANALYZE\' + \'AFNI\' : Input / Outp |
| R-orsifronts | 0.2.0-lp153.1.12 | Southern Ocean Frontal Distributions (Orsi) |
| R-orsk | 1.0.8-lp153.1.5 | Converting Odds Ratio to Relative Risk in Cohort Studies wit |
| R-orthogonalsplinebasis | 0.1.7-lp153.1.9 | Orthogonal B-Spline Basis Functions |
| R-OrthoPanels | 1.2.4-lp153.1.9 | Dynamic Panel Models with Orthogonal Reparameterization of F |
| R-orthopolynom | 1.0.6.1-lp153.1.8 | Collection of Functions for Orthogonal and Orthonormal Polyn |
| R-ORTSC | 1.0.0-lp153.7.5 | Connects to Google Cloud API for Label Detection |
| R-OryzaProbe | 0.1.0-lp153.1.8 | Rice Microarray Probe ID Conversion, from Probe ID to RAP-DB |
| R-osc | 1.0.5-lp153.6.4 | Orthodromic Spatial Clustering |
| R-oscar | 1.2.1-lp153.1.12 | Optimal Subset Cardinality Regression (OSCAR) Models Using t |
| R-OscillatorGenerator | 0.1.0-lp153.2.13 | Generation of Customizable, Discretized Time Series of Oscil |
| R-osd | 0.1-lp153.2.13 | Orthogonal Signal Deconvolution for Spectra Deconvolution in |
| R-osdatahub | 0.2.0-lp153.1.5 | Easier Interaction with the Ordnance Survey Data Hub |
| R-osDesign | 1.8-lp153.2.13 | Design, Planning and Analysis of Observational Studies |
| R-OSDR | 1.1.4-lp153.1.11 | Finds an Optimal System of Distinct Representatives |
| R-osfr | 0.2.9-lp153.5.2 | Interface to the \'Open Science Framework\' (\'OSF\') |
| R-oshka | 0.1.2-lp153.2.13 | Recursive Quoted Language Expansion |
| R-oskeyring | 0.1.6-lp153.1.5 | Raw System Credential Store Access from R |
| R-osmar | 1.1.7-lp153.3.12 | OpenStreetMap and R |
| R-osmclass | 0.1.3-lp153.2.2 | Classify Open Street Map Features |
| R-osmose | 3.3.4-lp153.7.8 | Object Oriented Simulator of Marine Ecosystems |
| R-OSNMTF | 0.1.0-lp153.13.7 | Orthogonal Sparse Non-Negative Matrix Tri-Factorization |
| R-ospsuite.utils | 1.2.0-lp153.1.11 | Utility Functions for Open Systems Pharmacology R Packages |
| R-osrm | 4.2.0-lp153.2.2 | Interface Between R and the OpenStreetMap-Based Routing Serv |
| R-osrmr | 0.1.36-lp153.5.2 | Wrapper for the \'OSRM\' API |
| R-OssaNMA | 0.1.2-lp153.1.5 | Optimal Sample Size and Allocation with a Network Meta-Analy |
| R-OSsurvival | 1.0-lp153.1.8 | Assessing Surrogacy with a Censored Outcome |
| R-OSTE | 1.0-lp153.23.3 | Optimal Survival Trees Ensemble |
| R-OSTSC | 0.0.1-lp153.1.13 | Over Sampling for Time Series Classification |
| R-ot | 0.2.0-lp153.2.13 | \'Open Tracing\' |
| R-OTE | 1.0.1-lp153.2.13 | Optimal Trees Ensembles for Regression, Classification and C |
| R-otinference | 0.1.0-lp153.3.7 | Inference for Optimal Transport |
| R-otp | 0.1.1-lp153.1.4 | One Time Password Generation and Verification |
| R-otpr | 0.5.1-lp153.12.2 | An R Wrapper for the \'OpenTripPlanner\' REST API |
| R-otrimle | 2.0-lp153.1.12 | Robust Model-Based Clustering |
| R-otrKM | 0.2.1-lp153.1.5 | Optimal Treatment Regimes in Survival Contexts with Kaplan-M |
| R-OTRselect | 1.2-lp153.1.4 | Variable Selection for Optimal Treatment Decision |
| R-otsad | 0.2.0-lp153.31.2 | Online Time Series Anomaly Detectors |
| R-otsfeatures | 1.0.0-lp153.2.2 | Ordinal Time Series Analysis |
| R-ottrpal | 1.2.1-lp153.5.2 | Companion Tools for Open-Source Tools for Training Resources |
| R-otuSummary | 0.1.2-lp153.2.2 | Summarizing OTU Table Regarding the Composition, Abundance a |
| R-OTUtable | 1.1.2-lp153.2.13 | North Temperate Lakes - Microbial Observatory 16S Time Serie |
| R-otvPlots | 0.2.1-lp153.11.11 | Over Time Variable Plots |
| R-outbreaks | 1.9.0-lp153.2.13 | A Collection of Disease Outbreak Data |
| R-outcomerate | 1.0.1-lp153.4.13 | AAPOR Survey Outcome Rates |
| R-OutlierDC | 0.3.0-lp153.3.12 | Outlier Detection using quantile regression for Censored Dat |
| R-OutlierDM | 1.1.1-lp153.4.11 | Outlier Detection for Multi-replicated High-throughput Data |
| R-outliers | 0.15-lp153.1.10 | Tests for Outliers |
| R-OutliersLearn | 1.0.0-lp153.1.2 | Educational Outlier Package with Common Outlier Detection Al |
| R-OutrankingTools | 1.0-lp153.6.5 | Functions for Solving Multiple-criteria Decision-making Prob |
| R-outreg | 0.2.2-lp153.17.2 | Regression Table for Publication |
| R-ouxy | 2.1-lp153.5.11 | Model of Adaptive Trait Evolution |
| R-overdisp | 0.1.2-lp153.1.5 | Overdispersion in Count Data Multiple Regression Analysis |
| R-overlapping | 1.6-1.32 | Estimation of Overlapping in Empirical Distributions |
| R-overlapping | 1.6-lp153.1.23 | Estimation of Overlapping in Empirical Distributions |
| R-overlapping | 1.6-1.24 | Estimation of Overlapping in Empirical Distributions |
| R-overture | 0.4.0-lp153.3.9 | Tools for Writing MCMC |
| R-overviewR | 0.0.13-lp153.2.2 | Easily Extracting Information About Your Data |
| R-OVL.CI | 0.1.0-lp153.2.4 | Inference on the Overlap Coefficient: The Binormal Approach |
| R-owd | 1.0.6-lp153.2.13 | Open Working Directory |
| R-owdbr | 1.0.1.1-lp153.14.7 | Open Welfare Data Brazil |
| R-OWEA | 0.1.2-lp153.7.2 | Optimal Weight Exchange Algorithm for Optimal Designs for Th |
| R-owidR | 1.4.2-lp153.2.4 | Import Data from Our World in Data |
| R-owmr | 0.8.2-lp153.14.2 | OpenWeatherMap API Wrapper |
| R-ox | 0.1.0-lp153.1.11 | Shorthand if-Else |
| R-oxcAAR | 1.1.1-lp153.5.2 | Interface to \'OxCal\' Radiocarbon Calibration |
| R-oxcgrt | 0.1.0-lp153.8.12 | An Interface to the Oxford COVID-19 Government Response Trac |
| R-OxyBS | 1.5-lp153.2.13 | Processing of Oxy-Bisulfite Microarray Data |
| R-oysteR | 0.1.1-lp153.15.2 | Scans R Projects for Vulnerable Third Party Dependencies |
| R-oz | 1.0.20-1.38 | Plot the Australian coastline and states |
| R-oz | 1.0.20-lp155.1.5 | Plot the Australian coastline and states |
| R-oz | 1.0.20-lp153.1.25 | Plot the Australian coastline and states |
| R-oz | 1.0.22-lp153.1.7 | Plot the Australian coastline and states |
| R-oz | 1.0.20-1.26 | Plot the Australian coastline and states |
| R-oz | 1.0.20-lp154.1.10 | Plot the Australian coastline and states |
| R-p2distance | 1.0.1-lp153.2.13 | Welfare\'s Synthetic Indicator |
| R-p3state.msm | 1.3.2-lp153.1.7 | Analyzing Survival Data from an Illness-Death Model |
| R-pa | 1.2.4-lp153.1.5 | Performance Attribution for Equity Portfolios |
| R-PabonLasso | 1.0-lp153.2.13 | Pabon Lasso Graphs and Comparing Situations of a Unit in Two |
| R-pacbpred | 0.92.2-lp153.2.13 | PAC-Bayesian Estimation and Prediction in Sparse Additive Mo |
| R-pack | 0.1.1-lp153.2.13 | Convert values to/from raw vectors |
| R-packageDiff | 0.1-lp153.14.2 | Compare R Package Differences |
| R-packagepal | 0.1.0-lp153.3.2 | Guidelines and Checklists for Building CRAN-Worthy Packages |
| R-packagetrackr | 0.1.1-lp153.14.7 | Track R Package Downloads from RStudio\'s CRAN Mirror |
| R-packClassic | 0.5.2-lp153.2.13 | Toy example of Pack Classic |
| R-packDAMipd | 0.2.2-lp153.18.10 | Decision Analysis Modelling Package with Parameters Estimati |
| R-packHV | 2.2-lp153.2.13 | A few Useful Functions for Statisticians |
| R-packrat | 0.9.2-lp153.1.5 | A Dependency Management System for Projects and their R Pack |
| R-packrat | 0.5.0-4.26 | A Dependency Management System for Projects and their R Pack |
| R-packrat | 0.5.0-lp154.4.10 | A Dependency Management System for Projects and their R Pack |
| R-packrat | 0.5.0-lp153.4.24 | A Dependency Management System for Projects and their R Pack |
| R-packrat | 0.5.0-4.31 | A Dependency Management System for Projects and their R Pack |
| R-packrat | 0.5.0-lp155.4.5 | A Dependency Management System for Projects and their R Pack |
| R-packS4 | 0.9.3-lp153.2.13 | Toy Example of S4 Package |
| R-PACLasso | 1.0.0-lp153.3.7 | Penalized and Constrained Lasso Optimization |
| R-pacman | 0.5.1-lp153.2.13 | Package Management Tool |
| R-paco | 0.4.2-lp153.4.7 | Procrustes Application to Cophylogenetic Analysis |
| R-pact | 0.5.0-lp153.2.12 | Predictive Analysis of Clinical Trials |
| R-pacviz | 1.0.3-lp153.1.5 | Pac-Man Visualization Package |
| R-paf | 1.0-lp153.2.13 | Attributable Fraction Function for Censored Survival Data |
| R-pafdR | 1.0-lp153.16.2 | Book Companion for Processing and Analyzing Financial Data w |
| R-pafr | 0.0.2-lp153.16.2 | Read, Manipulate and Visualize \'Pairwise mApping Format\' D |
| R-PAFway | 0.1.3-lp153.9.12 | Pairwise Association of Functional Annotations |
| R-pagemap | 0.1.3-lp153.13.2 | Create Mini Map for Web Pages |
| R-pageviews | 0.6.0-lp153.2.2 | An API Client for Wikimedia Traffic Data |
| R-PAGI | 1.0-lp153.2.13 | The package can identify the dysregulated KEGG pathways base |
| R-PAGWAS | 2.0-lp153.3.9 | Pathway Analysis Methods for Genomewide Association Data |
| R-painbow | 1.0.1-lp153.7.5 | Use XKCD\'s \"Painbow\" Colormap in ggplot2 |
| R-painter | 0.1.0-lp153.2.13 | Creation and Manipulation of Color Palettes |
| R-paintingr | 0.1.0-lp153.1.8 | Painting Palettes Generator |
| R-paintmap | 1.0-lp153.2.13 | Plotting Paintmaps |
| R-pairedCI | 0.5.4-lp153.2.13 | Confidence intervals for the ratio of locations and for the |
| R-PairedData | 1.1.1-lp153.15.5 | Paired Data Analysis |
| R-pairheatmap | 1.0.1-lp153.3.13 | A tool for comparing heatmaps |
| R-pairsD3 | 0.1.3-lp153.11.2 | D3 Scatterplot Matrices |
| R-pairwise | 0.6.1.0-lp153.1.5 | Rasch Model Parameters by Pairwise Algorithm |
| R-pairwiseCI | 0.1.27-lp153.15.7 | Confidence Intervals for Two Sample Comparisons |
| R-PakPC2017 | 1.0.0-lp153.13.7 | Pakistan Population Census 2017 |
| R-PakPC2023 | 0.1.0-lp153.8.2 | Pakistan Population Census 2023 |
| R-PakPMICS2014Ch | 0.1.0-lp153.2.13 | Multiple Indicator Cluster Survey (MICS) 2014 Child Question |
| R-PakPMICS2014HH | 0.1.0-lp153.2.13 | Multiple Indicator Cluster Survey (MICS) 2014 Household Ques |
| R-PakPMICS2014HL | 0.1.1-lp153.1.13 | Multiple Indicator Cluster Survey (MICS) 2014 Household List |
| R-PakPMICS2014Wm | 0.1.1-lp153.1.13 | Multiple Indicator Cluster Survey (MICS) 2014 Women Question |
| R-PakPMICS2018bh | 0.1.0-lp153.11.5 | Multiple Indicator Cluster Survey (MICS) 2017-18 Birth Histo |
| R-PakPMICS2018fs | 0.1.0-lp153.11.5 | Multiple Indicator Cluster Survey (MICS) 2017-18 Children Ag |
| R-PakPMICS2018hh | 0.1.0-lp153.11.5 | Multiple Indicator Cluster Survey (MICS) 2017-18 Household Q |
| R-PakPMICS2018mm | 0.1.0-lp153.11.5 | Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal Mo |
| R-PakPMICS2018mn | 0.1.0-lp153.11.5 | Multiple Indicator Cluster Survey (MICS) 2017-18 Men Questio |
| R-palaeoSig | 2.1.3-lp153.2.2 | Significance Tests for Palaeoenvironmental Reconstructions |
| R-pald | 0.0.4-lp153.2.2 | Partitioned Local Depth for Community Structure in Data |
| R-paleobioDB | 1.0.0-lp153.2.2 | Download and Process Data from the Paleobiology Database |
| R-paleobuddy | 1.0.0-lp153.1.11 | Simulating Diversification Dynamics |
| R-paleoDiv | 0.3.0-lp153.2.2 | Extracting and Visualizing Paleobiodiversity |
| R-paleofire | 1.2.4-lp153.13.7 | Analysis of Charcoal Records from the Global Charcoal Databa |
| R-paleoMAS | 2.0.1-lp153.2.13 | Paleoecological Analysis |
| R-paleomorph | 0.1.4-lp153.2.13 | Geometric Morphometric Tools for Paleobiology |
| R-paleopop | 2.1.4-lp153.5.5 | Pattern-Oriented Modeling Framework for Coupled Niche-Popula |
| R-palette | 0.0.2-lp153.2.2 | Color Scheme Helpers |
| R-paletteer | 1.6.0-lp153.1.4 | Comprehensive Collection of Color Palettes |
| R-paletteknife | 0.4.2-lp153.1.9 | Create Colour Scales and Legend from Continuous or Categoric |
| R-palettesForR | 0.1.2-lp153.2.13 | GPL Palettes Copied from \'Gimp\' and \'Inkscape\' |
| R-palettetown | 0.1.1-lp153.2.13 | Use Pokemon Inspired Colour Palettes |
| R-palinsol | 1.0-lp153.1.5 | Insolation for Palaeoclimate Studies |
| R-PaLMr | 0.2.0-lp153.1.4 | Interface for \'Google Pathways Language Model 2 (PaLM 2)\' |
| R-palmtree | 0.9.1-lp153.2.13 | Partially Additive (Generalized) Linear Model Trees |
| R-palr | 0.4.0-lp153.1.4 | Colour Palettes for Data |
| R-PAMA | 1.2.0-lp153.1.13 | Rank Aggregation with Partition Mallows Model |
| R-PamBinaries | 1.9.0-lp153.2.2 | Read and Process \'Pamguard\' Binary Data |
| R-pamctdp | 0.3.2-lp153.18.7 | Principal Axes Methods for Contingency Tables with Partition |
| R-PAmeasures | 0.1.0-lp153.2.13 | Prediction and Accuracy Measures for Nonlinear Models and fo |
| R-PAMmisc | 1.12.1-lp153.1.2 | Miscellaneous Functions for Passive Acoustic Analysis |
| R-pammtools | 0.5.93-lp153.2.3 | Piece-Wise Exponential Additive Mixed Modeling Tools for Sur |
| R-pampe | 1.1.2-lp153.2.13 | Implementation of the Panel Data Approach Method for Program |
| R-pan | 1.9-lp153.1.5 | Multiple Imputation for Multivariate Panel or Clustered Data |
| R-pan | 1.6-lp154.1.10 | Multiple Imputation for Multivariate Panel or Clustered Data |
| R-pan | 1.6-lp153.1.30 | Multiple Imputation for Multivariate Panel or Clustered Data |
| R-pAnalysis | 2.0-lp153.14.5 | Benchmarking and Rescaling R2 using Noise Percentile Analysi |
| R-pander | 0.6.2-2.61 | An R \'Pandoc\' Writer |
| R-pander | 0.6.2-lp153.2.23 | An R \'Pandoc\' Writer |
| R-pander | 0.6.2-lp155.2.5 | An R \'Pandoc\' Writer |
| R-pander | 0.6.2-2.31 | An R \'Pandoc\' Writer |
| R-pander | 0.6.2-lp154.2.10 | An R \'Pandoc\' Writer |
| R-pandoc | 0.2.0-lp153.1.5 | Manage and Run Universal Converter \'Pandoc\' from \'R\' |
| R-pandocfilters | 0.1.6-lp153.1.8 | Pandoc Filters for R |
| R-Pandora | 24.2.0-lp153.2.2 | Retrieve Data using the API of the \'Pandora\' Data Platform |
| R-panelaggregation | 0.1.1-lp153.2.13 | Aggregate Longitudinal Survey Data |
| R-panelAR | 0.1-lp153.14.11 | Estimation of Linear AR(1) Panel Data Models with Cross-Sect |
| R-Paneldata | 1.0-lp153.2.20 | Linear Models for Panel Data |
| R-panelhetero | 1.0.1-lp153.1.5 | Panel Data Analysis with Heterogeneous Dynamics |
| R-panelsummary | 0.1.2.1-lp153.7.2 | Create Publication-Ready Regression Tables with Panels |
| R-PanelTM | 1.0-lp153.2.2 | Two- And Three-Way Dynamic Panel Threshold Regression Model |
| R-panelvar | 0.5.5-lp153.6.2 | Panel Vector Autoregression |
| R-pangaear | 1.1.0-lp153.8.2 | Client for the \'Pangaea\' Database |
| R-PanJen | 1.6-lp153.2.13 | A Semi-Parametric Test for Specifying Functional Form |
| R-panstarrs | 0.2.2-lp153.2.2 | Interface to the Pan-STARRS API |
| R-PantaRhei | 0.1.2-lp153.2.13 | Plots Sankey Diagrams |
| R-papaja | 0.1.2-lp153.5.2 | Prepare American Psychological Association Journal Articles |
| R-papayar | 1.0-lp153.4.12 | View Medical Research Images using the Papaya JavaScript Lib |
| R-paperplanes | 0.0.1.9-lp153.2.13 | Distance Recordings from a Paper Plane Folding/Flying Experi |
| R-parabar | 1.1.1-lp153.1.4 | Progress Bar for Parallel Tasks |
| R-parade | 0.1-lp153.2.13 | Pen\'s Income Parades |
| R-parallel | 4.4.1-194.138 | Package providing R-parallel |
| R-parallel | 4.4.1-192.1 | Package providing R-parallel |
| R-parallel | 4.4.1-50.0.2.1.sr20240605 | Package providing R-parallel |
| R-parallel | 4.4.1-lp155.192.1 | Package providing R-parallel |
| R-parallel | 4.4.1-56.163 | Package providing R-parallel |
| R-parallel | 4.4.1-lp153.192.1 | Package providing R-parallel |
| R-parallel | 4.4.1-56.163 | Package providing R-parallel |
| R-parallel | 4.4.1-lp154.192.1 | Package providing R-parallel |
| R-parallel | 4.4.1-50.1 | Package providing R-parallel |
| R-parallel | 4.4.1-50.1 | Package providing R-parallel |
| R-parallel | 4.4.1-50.1 | Package providing R-parallel |
| R-parallel | 4.4.1-194.138 | Package providing R-parallel |
| R-ParallelDSM | 0.3.7-lp153.2.7 | Parallel Digital Soil Mapping using Machine Learning |
| R-parallelMap | 1.5.1-lp153.2.11 | Unified Interface to Parallelization Back-Ends |
| R-parallelMCMCcombine | 2.0-lp153.1.12 | Combining Subset MCMC Samples to Estimate a Posterior Densit |
| R-parallelML | 1.2-lp153.2.13 | A Parallel-Voting Algorithm for many Classifiers |
| R-ParallelPC | 1.2-lp153.2.13 | Paralellised Versions of Constraint Based Causal Discovery A |
| R-parallelSVM | 0.1.9-lp153.3.13 | A Parallel-Voting Version of the Support-Vector-Machine Algo |
| R-ParallelTree | 0.1.3-lp153.9.11 | Visualizing Multilevel Data |
| R-param2moment | 0.1.2-lp153.1.2 | Raw, Central and Standardized Moments of Parametric Distribu |
| R-param6 | 0.2.4-lp153.1.11 | A Fast and Lightweight R6 Parameter Interface |
| R-paramGUI | 2.2.0-lp153.5.2 | A Shiny GUI for some Parameter Estimation Examples |
| R-ParamHelpers | 1.14.1-lp153.1.8 | Helpers for Parameters in Black-Box Optimization, Tuning and |
| R-paramhetero | 1.0.0-lp153.6.5 | Numeric and Visual Comparisons of Heterogeneity in Parametri |
| R-paramlink | 1.1.5-lp153.5.5 | Parametric Linkage and Other Pedigree Analysis in R |
| R-params | 0.7.3-lp153.9.5 | Simplify Parameters |
| R-paramtest | 0.1.0-lp153.2.13 | Run a Function Iteratively While Varying Parameters |
| R-paran | 1.5.3-lp153.2.2 | Horn\'s Test of Principal Components/Factors |
| R-parboost | 0.1.4-lp153.13.10 | Distributed Model-Based Boosting |
| R-parcoords | 1.0.0-lp153.3.12 | \'Htmlwidget\' for \'d3.js\' Parallel Coordinates Chart |
| R-parcr | 0.5.2-lp153.1.2 | Construct Parsers for Structured Text Files |
| R-Pareto | 2.4.5-lp153.1.5 | The Pareto, Piecewise Pareto and Generalized Pareto Distribu |
| R-ParetoPosStable | 1.1-lp153.2.13 | Computing, Fitting and Validating the PPS Distribution |
| R-parlitools | 0.4.1-lp153.17.5 | Tools for Analysing UK Politics |
| R-parmigene | 1.1.0-lp153.2.13 | Parallel Mutual Information Estimation for Gene Network Reco |
| R-parmsurvfit | 0.1.0-lp153.11.10 | Parametric Models for Survival Data |
| R-parquetize | 0.5.7-lp153.2.2 | Convert Files to Parquet Format |
| R-parsec | 1.2.7-lp153.2.4 | Partial Orders in Socio-Economics |
| R-parsedate | 1.3.1-lp153.1.7 | Recognize and Parse Dates in Various Formats, Including All |
| R-parsel | 0.3.0-lp153.1.4 | Parallel Dynamic Web-Scraping Using \'RSelenium\' |
| R-parsemsf | 0.1.1-lp153.2.13 | Parse ThermoFisher MSF Files and Estimate Protein Abundances |
| R-parseRPDR | 1.1.1-lp153.2.2 | Parse and Manipulate Research Patient Data Registry (\'RPDR\ |
| R-parsetools | 0.1.3-lp153.2.13 | Parse Tools |
| R-parSim | 0.1.5-lp153.1.5 | Parallel Simulation Studies |
| R-parsnip | 1.2.1-lp153.2.2 | A Common API to Modeling and Analysis Functions |
| R-partDSA | 0.9.14-lp153.2.13 | Partitioning Using Deletion, Substitution, and Addition Move |
| R-partialised | 0.1.1-lp153.2.7 | Partialised Functions |
| R-Partiallyoverlapping | 2.0-lp153.2.13 | Partially Overlapping Samples Tests |
| R-partialOR | 0.9-lp153.2.13 | Partial Odds Ratio |
| R-particle.swarm.optimisation | 1.0-lp153.13.5 | Optimisation with Particle Swarm Optimisation |
| R-partitionBEFsp | 1.0-lp153.2.13 | Methods for Calculating the Loreau & Hector 2001 BEF Partiti |
| R-partitionComparison | 0.2.6-lp153.1.5 | Implements Measures for the Comparison of Two Partitions |
| R-partitionMap | 0.5-lp153.2.13 | Partition Maps |
| R-partitionMetric | 1.1-lp153.2.13 | Compute a distance metric between two partitions of a set |
| R-partitions | 1.10.7-lp153.1.8 | Additive Partitions of Integers |
| R-partitions | 1.9.19-lp154.1.10 | Additive Partitions of Integers |
| R-partitions | 1.9.19-1.30 | Additive Partitions of Integers |
| R-partitions | 1.9.19-lp155.1.5 | Additive Partitions of Integers |
| R-partitions | 1.9.19-lp153.1.23 | Additive Partitions of Integers |
| R-partitions | 1.9.19-1.38 | Additive Partitions of Integers |
| R-partools | 1.1.6-lp153.8.7 | Tools for the \'Parallel\' Package |
| R-partsm | 1.1.3-lp153.4.13 | Periodic Autoregressive Time Series Models |
| R-parttime | 0.1.2-lp153.1.4 | Partial Datetime Handling |
| R-partykit | 0.8_2-lp155.2.5 | A Toolkit for Recursive Partytioning |
| R-partykit | 0.8_2-2.32 | A Toolkit for Recursive Partytioning |
| R-partykit | 0.8_2-2.38 | A Toolkit for Recursive Partytioning |
| R-partykit | 0.8_2-lp154.2.10 | A Toolkit for Recursive Partytioning |
| R-partykit | 0.8_2-lp153.2.25 | A Toolkit for Recursive Partytioning |
| R-parviol | 1.1-lp153.2.13 | Parviol |
| R-PAS | 1.2.5-lp153.4.7 | Polygenic Analysis System (PAS) |
| R-pasadr | 1.0-lp153.5.4 | An Implementation of Process-Aware Stealthy Attack Detection |
| R-PASenseWear | 1.0-lp153.14.5 | Summarize Daily Physical Activity from \'SenseWear\' Acceler |
| R-pass.lme | 0.9.0-lp153.2.13 | Power and Sample Size for Linear Mixed Effect Models |
| R-PASSED | 1.2.2-lp153.1.5 | Calculate Power and Sample Size for Two Sample Mean Tests |
| R-passport | 0.3.0-lp153.2.13 | Travel Smoothly Between Country Name and Code Formats |
| R-passt | 0.1.3-lp153.10.2 | Probability Associator Time (PASS-T) |
| R-password | 1.0.0-lp153.2.13 | Create Random Passwords |
| R-pasteAsComment | 0.2.1-lp153.1.5 | \'RStudio\' Addin to Paste the Clipboard as a Comment Block |
| R-pastecs | 1.4.2-lp153.1.4 | Package for Analysis of Space-Time Ecological Series |
| R-pastis | 0.1.2-lp153.2.13 | Phylogenetic Assembly with Soft Taxonomic Inferences |
| R-PASWR | 1.3-lp153.1.9 | Probability and Statistics with R |
| R-PASWR2 | 1.0.5-lp153.7.5 | Probability and Statistics with R, Second Edition |
| R-patchDVI | 1.11.0-lp153.9.2 | Package to Patch \'.dvi\' or \'.synctex\' Files |
| R-patchSynctex | 0.1.4-lp153.7.2 | Communication Between Editor and Viewer for Literate Program |
| R-patchwork | 1.0.0-lp153.1.23 | The Composer of Plots |
| R-patchwork | 1.0.0-1.24 | The Composer of Plots |
| R-patchwork | 1.0.0-1.52 | The Composer of Plots |
| R-patentsview | 0.3.0-lp153.1.12 | An R Client to the \'PatentsView\' API |
| R-pathdiagram | 0.1.9.1-lp153.2.13 | Basic Functions for Drawing Path Diagrams |
| R-pathfindR.data | 2.1.0-lp153.2.2 | Data Package for \'pathfindR\' |
| R-pathlibr | 0.1.0-lp153.3.12 | OO Path Manipulation in R |
| R-pathling | 7.0.0-lp153.2.2 | A Library for using \'Pathling\' |
| R-pathmapping | 1.0.2-lp153.2.13 | Compute Deviation and Correspondence Between Spatial Paths |
| R-pathmodelfit | 1.0.5-lp153.4.7 | Path Component Fit Indices for Latent Structural Equation Mo |
| R-paths | 0.1.1-lp153.15.2 | An Imputation Approach to Estimating Path-Specific Causal Ef |
| R-PathSelectMP | 1.1-lp153.5.11 | Backwards Variable Selection for Paths using M Plus |
| R-pathviewr | 1.1.7-lp153.2.2 | Wrangle, Analyze, and Visualize Animal Movement Data |
| R-patPRO | 1.1.0-lp153.12.8 | Visualizing Temporal Microbiome Data |
| R-patternator | 0.1.0-lp153.2.13 | Feature Extraction from Female Brown Anole Lizard Dorsal Pat |
| R-PatternClass | 2.0.1-lp153.9.12 | Class-Focused Pattern Metric Comparisons using Simulation |
| R-pauwels2014 | 1.0-lp153.9.11 | Bayesian Experimental Design for Systems Biology. |
| R-pawacc | 1.2.3-lp153.1.4 | Physical Activity with Accelerometers |
| R-PAWL | 0.5-lp153.5.13 | Implementation of the PAWL algorithm |
| R-pawscore | 1.0.3-lp153.1.5 | Pain Assessment at Withdrawal Speeds (PAWS) |
| R-pbANOVA | 0.1.0-lp153.10.4 | Parametric Bootstrap for ANOVA Models |
| R-pbapply | 1.2_1-1.26 | Adding Progress Bar to \'*apply\' Functions |
| R-pbapply | 1.7.2-lp153.1.5 | Adding Progress Bar to \'*apply\' Functions |
| R-pbapply | 1.2_1-1.38 | Adding Progress Bar to \'*apply\' Functions |
| R-pbapply | 1.2_1-lp154.1.10 | Adding Progress Bar to \'*apply\' Functions |
| R-pbapply | 1.2_1-lp153.1.25 | Adding Progress Bar to \'*apply\' Functions |
| R-pbapply | 1.2_1-lp155.1.5 | Adding Progress Bar to \'*apply\' Functions |
| R-pbatR | 2.2.17-lp153.1.4 | Pedigree/Family-Based Genetic Association Tests Analysis and |
| R-PBD | 1.4-lp153.22.4 | Protracted Birth-Death Model of Diversification |
| R-pbdRPC | 0.2.1-lp153.2.13 | Programming with Big Data -- Remote Procedure Call |
| R-pbdZMQ | 0.3.3-2.30 | Programming with Big Data -- Interface to ZeroMQ |
| R-pbdZMQ | 0.3.3-lp154.2.8 | Programming with Big Data -- Interface to ZeroMQ |
| R-pbdZMQ | 0.3.3-2.33 | Programming with Big Data -- Interface to ZeroMQ |
| R-pbdZMQ | 0.3.3-lp153.2.22 | Programming with Big Data -- Interface to ZeroMQ |
| R-pbdZMQ | 0.3.3-lp155.2.5 | Programming with Big Data -- Interface to ZeroMQ |
| R-PBIBD | 1.3-lp153.2.13 | Partially Balanced Incomplete Block Designs |
| R-PBIR | 0.1.0-lp153.2.13 | Estimating the Probability of Being in Response and Related |
| R-pbivnorm | 0.6.0-2.33 | Vectorized Bivariate Normal CDF |
| R-pbivnorm | 0.6.0-lp154.2.10 | Vectorized Bivariate Normal CDF |
| R-pbivnorm | 0.6.0-lp153.2.26 | Vectorized Bivariate Normal CDF |
| R-pbivnorm | 0.6.0-2.38 | Vectorized Bivariate Normal CDF |
| R-pbivnorm | 0.6.0-lp155.2.5 | Vectorized Bivariate Normal CDF |
| R-pbivnorm | 0.6.0-lp153.2.13 | Vectorized Bivariate Normal CDF |
| R-pbixr | 0.1.4-lp153.16.7 | Access Data and Metadata from \'Microsoft\' \'Power BI\' Doc |
| R-pbm | 1.2.1-lp153.1.13 | Protein Binding Models |
| R-pbmcapply | 1.5.1-lp153.1.9 | Tracking the Progress of Mc*pply with Progress Bar |
| R-PBNPA | 0.0.3-lp153.2.13 | Permutation Based Non-Parametric Analysis of CRISPR Screen D |
| R-pbo | 1.3.5-lp153.3.7 | Probability of Backtest Overfitting |
| R-pbox | 0.1.8-lp153.1.2 | Exploring Multivariate Spaces with Probability Boxes |
| R-pbr | 0.0.2-lp153.8.2 | Find a Cold One Near You |
| R-pBrackets | 1.0.1-lp153.1.12 | Plot Brackets |
| R-PBRF | 1.0.0-lp153.2.13 | The Probability of Being in Response Function and Its Varian |
| R-pbs | 1.1-lp153.2.13 | Periodic B Splines |
| R-PBSadmb | 1.1.6-lp153.1.4 | ADMB for R Using Scripts or GUI |
| R-PBSddesolve | 1.13.4-lp153.1.4 | Solver for Delay Differential Equations |
| R-PBSmapping | 2.73.4-lp153.1.4 | Mapping Fisheries Data and Spatial Analysis Tools |
| R-PBSmodelling | 2.69.3-lp153.1.4 | GUI Tools Made Easy: Interact with Models and Explore Data |
| R-PBtDesigns | 1.0.0-lp153.1.7 | Partially Balanced t-Designs (PBtDesigns) |
| R-pca3d | 0.10.2-lp153.16.7 | Three Dimensional PCA Plots |
| R-PCA4TS | 0.1-lp153.4.5 | Segmenting Multiple Time Series by Contemporaneous Linear Tr |
| R-pcaBootPlot | 0.2.0-lp153.17.11 | Create 2D Principal Component Plots with Bootstrapping |
| R-PCADSC | 0.8.0-lp153.15.2 | Tools for Principal Component Analysis-Based Data Structure |
| R-pcal | 1.0.0-lp153.4.13 | Calibration of P-Values for Point Null Hypothesis Testing |
| R-pcalls | 1.0-lp153.2.13 | Pricing of Different Types of Call |
| R-PCAmatchR | 0.3.3-lp153.2.7 | Match Cases to Controls Based on Genotype Principal Componen |
| R-PCAmixdata | 3.1-lp153.2.13 | Multivariate Analysis of Mixed Data |
| R-pcatsAPIclientR | 1.1.0-lp153.1.5 | \'PCATS\' API Client |
| R-pcdpca | 0.4-lp153.17.4 | Dynamic Principal Components for Periodically Correlated Fun |
| R-pcds | 0.1.4-lp153.1.11 | Proximity Catch Digraphs and Their Applications |
| R-PCDSpline | 1.0-lp153.2.13 | Semiparametric regression analysis of panel count data using |
| R-pcensmix | 1.2.1-lp153.2.13 | Model Fitting to Progressively Censored Mixture Data |
| R-pcev | 2.2.2-lp153.2.13 | Principal Component of Explained Variance |
| R-PCFAM | 1.0-lp153.2.13 | Computation of Ancestry Scores with Mixed Families and Unrel |
| R-pcg | 1.1-lp153.2.13 | Preconditioned Conjugate Gradient Algorithm for solving Ax=b |
| R-PCGII | 1.1.2-lp153.1.4 | Partial Correlation Graph with Information Incorporation |
| R-PCGSE | 0.5.0-lp153.1.5 | Principal Component Gene Set Enrichment |
| R-pch | 2.1-lp153.4.2 | Piecewise Constant Hazard Models for Censored and Truncated |
| R-PCICt | 0.5.4.4-lp153.1.7 | Implementation of POSIXct Work-Alike for 365 and 360 Day Cal |
| R-PCL | 1.0-lp153.1.12 | Proximal Causal Learning |
| R-pcLasso | 1.2-lp153.2.13 | Principal Components Lasso |
| R-PCLassoReg | 1.0.0-lp153.1.12 | Group Regression Models for Risk Protein Complex Identificat |
| R-pcmabc | 1.1.3-lp153.15.2 | Approximate Bayesian Computations for Phylogenetic Comparati |
| R-PCMBase | 1.2.14-lp153.2.2 | Simulation and Likelihood Calculation of Phylogenetic Compar |
| R-pcnetmeta | 2.8-lp153.1.8 | Patient-Centered Network Meta-Analysis |
| R-pco | 1.0.1-lp153.2.13 | Panel Cointegration Tests |
| R-pCODE | 0.9.4-lp153.5.4 | Estimation of an Ordinary Differential Equation Model by Par |
| R-PCovR | 2.7.2-lp153.1.5 | Principal Covariates Regression |
| R-PCPS | 1.0.7-lp153.18.2 | Principal Coordinates of Phylogenetic Structure |
| R-pcr | 1.2.2-lp153.14.5 | Analyzing Real-Time Quantitative PCR Data |
| R-PCRA | 1.2-lp153.1.5 | Companion to Portfolio Construction and Risk Analysis |
| R-PCRedux | 1.1.2-lp153.10.5 | Quantitative Polymerase Chain Reaction (qPCR) Data Mining an |
| R-pcse | 1.9.1.1-lp153.2.13 | Panel-Corrected Standard Error Estimation in R |
| R-PCSinR | 0.1.0-lp153.2.13 | Parallel Constraint Satisfaction Networks in R |
| R-pcsstools | 0.1.2-lp153.1.5 | Tools for Regression Using Pre-Computed Summary Statistics |
| R-pcSteiner | 1.0.0.1-lp153.6.4 | Convenient Tool for Solving the Prize-Collecting Steiner Tre |
| R-pcts | 0.15.7-lp153.1.4 | Periodically Correlated and Periodically Integrated Time Ser |
| R-pcv | 1.1.0-lp153.1.5 | Procrustes Cross-Validation |
| R-pdc | 1.0.3-lp153.2.13 | Permutation Distribution Clustering |
| R-PDE | 1.4.3-lp153.1.7 | Extract Tables and Sentences from PDFs with User Interface |
| R-pder | 1.0.2-lp153.2.11 | Panel Data Econometrics with R |
| R-pdfCluster | 1.0.4-lp153.2.7 | Cluster Analysis via Nonparametric Density Estimation |
| R-PDFEstimator | 4.5-lp153.1.5 | Multivariate Nonparametric Probability Density Estimator |
| R-pdfminer | 1.0-lp153.2.13 | Read Portable Document Format (PDF) Files |
| R-pdftables | 0.1-lp153.2.12 | Programmatic Conversion of PDF Tables |
| R-pdi | 0.4.2-lp153.19.2 | Phenotypic Index Measures for Oak Decline Severity |
| R-pdist | 1.2.1-lp153.1.9 | Partitioned Distance Function |
| R-PDM | 0.1-lp153.2.13 | Photogrammetric Distances Measurer |
| R-PDMIF | 0.1.0-lp153.1.11 | Fits Heterogeneous Panel Data Models |
| R-pdmod | 1.0.1-lp153.2.13 | Proximal/Distal Modeling Framework for Pavlovian Conditionin |
| R-PDN | 0.1.0-lp153.16.7 | Personalized Disease Network |
| R-pdp | 0.8.1-lp153.6.5 | Partial Dependence Plots |
| R-PdPDB | 2.0.1-lp153.15.5 | Pattern Discovery in PDB Structures of Metalloproteins |
| R-pdqr | 0.3.1-lp153.1.5 | Work with Custom Distribution Functions |
| R-PDQutils | 0.1.6-lp153.2.13 | PDQ Functions via Gram Charlier, Edgeworth, and Cornish Fish |
| R-pdR | 1.9.1-lp153.1.5 | Threshold Model and Unit Root Tests in Cross-Section and Tim |
| R-pds3 | 0.5.0-lp153.3.12 | Manipulate PDS3 ODL Files |
| R-PDSCE | 1.2.1-lp153.1.8 | Positive Definite Sparse Covariance Estimators |
| R-PDShiny | 0.1.0-lp153.13.2 | \'Probability Distribution Shiny\' |
| R-pdt | 0.0.2-lp153.1.7 | Permutation Distancing Test |
| R-PDtoolkit | 1.2.0-lp153.5.2 | Collection of Tools for PD Rating Model Development and Vali |
| R-pdxTrees | 0.4.0-lp153.13.7 | Data Package of Portland, Oregon Trees |
| R-Peacock.test | 1.0-lp153.2.13 | Two and Three Dimensional Kolmogorov-Smirnov Two-Sample Test |
| R-peacots | 1.3.2-lp153.2.2 | Periodogram Peaks in Correlated Time Series |
| R-PeakError | 2023.9.4-lp153.1.5 | Compute the Label Error of Peak Calls |
| R-peakPick | 0.11-lp153.2.13 | Peak Picking Methods Inspired by Biological Data |
| R-peakRAM | 1.0.2-lp153.2.13 | Monitor the Total and Peak RAM Used by an Expression or Func |
| R-PeakSegDP | 2024.1.24-lp153.1.4 | Dynamic Programming Algorithm for Peak Detection in ChIP-Seq |
| R-pear | 1.2-lp153.1.13 | Package for Periodic Autoregression Analysis |
| R-pearson7 | 1.0.3-lp153.2.13 | Maximum Likelihood Inference for the Pearson VII Distributio |
| R-PearsonDS | 1.3.1-lp153.1.4 | Pearson Distribution System |
| R-PearsonICA | 1.2.5-lp153.1.11 | Independent component analysis using score functions from th |
| R-pec | 2.3.7-2.40 | Prediction Error Curves for Survival Models |
| R-pec | 2023.04.12-lp153.7.3 | Prediction Error Curves for Risk Prediction Models in Surviv |
| R-pec | 2.3.7-2.28 | Prediction Error Curves for Survival Models |
| R-pec | 2.3.7-lp153.2.23 | Prediction Error Curves for Survival Models |
| R-pedantics | 1.5-1.29 | Functions to facilitate power and sensitivity analyses for g |
| R-pedantics | 1.5-1.54 | Functions to facilitate power and sensitivity analyses for g |
| R-pedantics | 1.5-lp153.1.23 | Functions to facilitate power and sensitivity analyses for g |
| R-pedantics | 1.5-lp154.1.10 | Functions to facilitate power and sensitivity analyses for g |
| R-pedbuildr | 0.2.1-lp153.6.7 | Pedigree Reconstruction |
| R-pedgene | 3.9-lp153.2.2 | Gene-Level Variant Association Tests for Pedigree Data |
| R-pedigree | 1.4.2-lp153.2.7 | Pedigree functions |
| R-pedigreemm | 0.3.3-lp153.2.30 | Pedigree-based mixed-effects models |
| R-pedigreemm | 0.3.3-lp154.2.10 | Pedigree-based mixed-effects models |
| R-pedMermaid | 1.0.2-lp153.2.2 | Pedigree Mermaid Syntax |
| R-pedmut | 0.7.1-lp153.1.4 | Mutation Models for Pedigree Likelihood Computations |
| R-pedprobr | 0.9.4-lp153.2.2 | Probability Computations on Pedigrees |
| R-pedquant | 0.2.4-lp153.4.2 | Public Economic Data and Quantitative Analysis |
| R-pedSimulate | 1.4.3-lp153.1.5 | Pedigree, Genetic Merit, Phenotype, and Genotype Simulation |
| R-pedsuite | 1.1.0-lp153.8.7 | Easy Installation of the \'ped suite\' Packages for Pedigree |
| R-peermodels | 0.10.3-lp153.5.2 | Client-Side R API Wrapper for Peer Models Network Model Repo |
| R-PeerPerformance | 2.2.5-lp153.1.12 | Luck-Corrected Peer Performance Analysis in R |
| R-pegas | 1.3-lp153.1.4 | Population and Evolutionary Genetics Analysis System |
| R-PEGroupTesting | 1.0-lp153.2.13 | Population Proportion Estimation using Group Testing |
| R-PEIP | 2.2.5-lp153.2.5 | Geophysical Inverse Theory and Optimization |
| R-PEkit | 1.0.0.1000-lp153.1.11 | Partition Exchangeability Toolkit |
| R-pell | 0.1.0-lp153.1.8 | Data About Historic Pell Grant Distribution in the US |
| R-PELVIS | 2.0.4-lp153.6.2 | Probabilistic Sex Estimate using Logistic Regression, Based |
| R-PEMM | 1.0-lp153.2.13 | A Penalized EM algorithm incorporating missing-data mechanis |
| R-pempi | 1.0.0-lp153.1.5 | Proportion Estimation with Marginal Proxy Information |
| R-penalizedcdf | 0.1.0-lp153.1.7 | Estimate a Penalized Linear Model using the CDF Penalty Func |
| R-penalizedclr | 2.0.0-lp153.1.5 | Integrative Penalized Conditional Logistic Regression |
| R-penalizedLDA | 1.1-lp153.2.13 | Penalized Classification using Fisher\'s Linear Discriminant |
| R-penalizedSVM | 1.1.4-lp153.1.5 | Feature Selection SVM using Penalty Functions |
| R-pencopulaCond | 0.2-lp153.22.4 | Estimating Non-Simplified Vine Copulas Using Penalized Splin |
| R-pendensity | 0.2.13-lp153.17.4 | Density Estimation with a Penalized Mixture Approach |
| R-penDvine | 0.2.4-lp153.17.5 | Flexible Pair-Copula Estimation in D-Vines using Bivariate P |
| R-PenIC | 1.0.0-lp153.2.13 | Semiparametric Regression Analysis of Interval-Censored Data |
| R-pensim | 1.3.6-lp153.2.7 | Simulation of High-Dimensional Data and Parallelized Repeate |
| R-peopleanalytics | 0.1.0-lp153.1.7 | Data Sets for Craig Starbuck\'s Book, \"The Fundamentals of |
| R-peopleanalyticsdata | 0.2.1-lp153.1.13 | Data Sets for Keith McNulty\'s Handbook of Regression Modeli |
| R-peperr | 1.5-lp153.1.5 | Parallelised Estimation of Prediction Error |
| R-pepr | 0.5.0-lp153.2.2 | Reading Portable Encapsulated Projects |
| R-PepSAVIms | 0.9.1-lp153.2.13 | PepSAVI-MS Data Analysis |
| R-peptider | 0.2.2-lp153.14.7 | Evaluation of Diversity in Nucleotide Libraries |
| R-pequod | 0.0.5-lp153.23.4 | Moderated Regression Package |
| R-perARMA | 1.7-lp153.1.4 | Periodic Time Series Analysis |
| R-Perc | 0.1.6-lp153.1.12 | Using Percolation and Conductance to Find Information Flow C |
| R-perccalc | 1.0.5-lp153.11.5 | Estimate Percentiles from an Ordered Categorical Variable |
| R-percentiles | 0.2.2-lp153.8.7 | Calculate (Stratified) Percentiles |
| R-PerformanceAnalytics | 2.0.4-lp153.2.13 | Econometric Tools for Performance and Risk Analysis |
| R-performanceEstimation | 1.1.0-lp153.17.2 | An Infra-Structure for Performance Estimation of Predictive |
| R-pergola | 1.0-lp153.10.5 | Toolbox for Polyploid Genetic Data |
| R-peRiodiCS | 0.5.0-lp153.31.2 | Functions for Generating Periodic Curves |
| R-PeriodicTable | 0.1.2-lp153.2.13 | Periodic Table of the Elements |
| R-perm | 1.0.0.4-lp153.1.5 | Exact or Asymptotic Permutation Tests |
| R-PermAlgo | 1.2-lp153.1.9 | Permutational Algorithm to Simulate Survival Data |
| R-PerMallows | 1.13-lp153.2.13 | Permutations and Mallows Distributions |
| R-PERMANOVA | 0.2.0-lp153.5.4 | Multivariate Analysis of Variance Based on Distances and Per |
| R-permGS | 0.2.5-lp153.2.12 | Permutational Group Sequential Test for Time-to-Event Data |
| R-permimp | 1.0.2-lp153.7.2 | Conditional Permutation Importance |
| R-permPATH | 1.3-lp153.1.5 | Permutation Based Gene Expression Pathway Analysis |
| R-permubiome | 1.3.2-lp153.2.2 | A Permutation Based Test for Biomarker Discovery in Microbio |
| R-PermutationR | 0.1.0-lp153.1.11 | Conduct Permutation Analysis of Variance in R |
| R-permute | 0.9.7-lp153.1.11 | Functions for Generating Restricted Permutations of Data |
| R-permute | 0.9.5-lp154.1.10 | Functions for Generating Restricted Permutations of Data |
| R-permute | 0.9.5-1.26 | Functions for Generating Restricted Permutations of Data |
| R-permute | 0.9.5-lp153.1.24 | Functions for Generating Restricted Permutations of Data |
| R-permute | 0.9.5-lp155.1.5 | Functions for Generating Restricted Permutations of Data |
| R-permute | 0.9.5-1.26 | Functions for Generating Restricted Permutations of Data |
| R-permutes | 2.8-lp153.1.5 | Permutation Tests for Time Series Data |
| R-perplexR | 0.0.3-lp153.2.2 | A Coding Assistant using Perplexity\'s Large Language Models |
| R-perry | 0.3.1-lp153.7.5 | Resampling-Based Prediction Error Estimation for Regression |
| R-perryExamples | 0.1.1-lp153.7.5 | Examples for Integrating Prediction Error Estimation into Re |
| R-persDx | 0.5.0-lp153.1.5 | Personalized Diagnostics Rules for Subgroup Identification a |
| R-persiandictionary | 1.0-lp153.2.13 | English to Persian dictionary |
| R-PersianStemmer | 1.0-lp153.2.13 | Persian Stemmer for Text Analysis |
| R-personalized | 0.2.7-lp153.16.2 | Estimation and Validation Methods for Subgroup Identificatio |
| R-personr | 1.0.0-lp153.25.2 | Test Your Personality |
| R-perspectev | 1.1-lp153.15.7 | Permutation of Species During Turnover Events |
| R-peRspective | 0.1.1-lp153.10.7 | Interface to the \'Perspective\' API |
| R-perturb | 2.10-lp153.1.13 | Tools for evaluating collinearity |
| R-perturbR | 0.1.3-lp153.14.4 | Random Perturbation of Count Matrices |
| R-peruflorads43 | 0.1.1-lp153.1.5 | Reviewed Official Classification of Endangered Wild Flora Sp |
| R-peruse | 0.3.1-lp153.2.5 | A Tidy API for Sequence Iteration and Set Comprehension |
| R-perutimber | 0.1.0-lp153.1.5 | Catalogue of the Timber Forest Species of the Peruvian Amazo |
| R-pesel | 0.7.5-lp153.1.5 | Automatic Estimation of Number of Principal Components in PC |
| R-PesticideLoadIndicator | 1.3.1-lp153.7.2 | Computes Danish Pesticide Load Indicator |
| R-pestr | 0.8.2-lp153.14.2 | Interface to Download Data on Pests and Hosts from \'EPPO\' |
| R-PEtests | 0.1.0-lp153.1.5 | Power-Enhanced (PE) Tests for High-Dimensional Data |
| R-PetfindeR | 2.1.0-lp153.3.12 | \'Petfinder\' API Wrapper |
| R-petitr | 1.0-lp153.2.13 | Relative Growth Rate |
| R-petrinetR | 0.3.0-lp153.10.2 | Building, Visualizing, Exporting and Replaying Petri Nets |
| R-pez | 1.2.4-lp153.12.1 | Phylogenetics for the Environmental Sciences |
| R-pez | 1.2.4-lp155.12.1 | Phylogenetics for the Environmental Sciences |
| R-pez | 1.2.4-lp154.12.1 | Phylogenetics for the Environmental Sciences |
| R-pfa | 1.1-lp153.4.11 | Estimates False Discovery Proportion Under Arbitrary Covaria |
| R-pfica | 0.1.3-lp153.3.4 | Independent Components Analysis Techniques for Functional Da |
| R-pflamelet | 0.1.1-lp153.3.13 | Persistence Flamelets: Computation and Inferential Tools |
| R-pfr | 1.0.1-lp153.1.4 | Interface to the \'C++\' Library \'Pf\' |
| R-pgam | 0.4.17-lp153.1.8 | Poisson-Gamma Additive Models |
| R-PGEE | 1.5-lp153.2.13 | Penalized Generalized Estimating Equations in High-Dimension |
| R-pglm | 0.2.3-lp153.3.11 | Panel Generalized Linear Models |
| R-pGLS | 0.0.1-lp153.2.13 | Generalized Least Square in comparative Phylogenetics |
| R-PGM2 | 1.0.1-lp153.2.13 | Nested Resolvable Designs and their Associated Uniform Desig |
| R-pGMGM | 1.0-lp153.6.5 | Estimating Multiple Gaussian Graphical Models (GGM) in Penal |
| R-pgmm | 1.2.7-lp153.1.5 | Parsimonious Gaussian Mixture Models |
| R-pgnorm | 2.0-lp153.2.13 | The p-Generalized Normal Distribution |
| R-pgraph | 1.6-lp153.4.7 | Build Dependency Graphs using Projection |
| R-PGRdup | 0.2.3.9-lp153.2.4 | Discover Probable Duplicates in Plant Genetic Resources Coll |
| R-pGRN | 0.3.5-lp153.4.2 | Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory |
| R-pgTools | 1.0.2-lp153.3.2 | Functions for Generating PostgreSQL Statements/Scripts |
| R-ph2mult | 0.1.1-lp153.2.13 | Phase II Clinical Trial Design for Multinomial Endpoints |
| R-phantSEM | 1.0.0.0-lp153.2.2 | Create Phantom Variables in Structural Equation Models for S |
| R-pharmaverse | 0.0.2-lp153.1.5 | Navigate \'Pharmaverse\' |
| R-pharmaversesdtm | 1.0.0-lp153.1.2 | SDTM Test Data for the \'Pharmaverse\' Family of Packages |
| R-PharmPow | 1.0-lp153.2.13 | Pharmacometric Power calculations for mixed study designs |
| R-phase1PRMD | 1.0.2-lp153.29.2 | Personalized Repeated Measurement Design for Phase I Clinica |
| R-phase1RMD | 1.0.9-lp153.12.5 | Repeated Measurement Design for Phase I Clinical Trial |
| R-phaseR | 2.2.1-lp153.1.8 | Phase Plane Analysis of One- And Two-Dimensional Autonomous |
| R-PhaseTypeR | 1.0.4-lp153.5.4 | General-Purpose Phase-Type Functions |
| R-phateR | 1.0.7-lp153.13.5 | PHATE - Potential of Heat-Diffusion for Affinity-Based Trans |
| R-PHclust | 0.1.0-lp153.1.11 | Poisson Hurdle Clustering for Sparse Microbiome Data |
| R-phd | 0.2-lp153.2.7 | Permutation Testing in High-Dimensional Linear Models |
| R-phdcocktail | 0.1.0-lp153.1.4 | Enhance the Ease of R Experience as an Emerging Researcher |
| R-pheatmap | 1.0.12-lp153.6.5 | Pretty Heatmaps |
| R-phecodemap | 0.1.0-lp153.14.2 | Visualization for PheCode Mapping with ICD-9 and ICD-10-CM C |
| R-PHEindicatormethods | 2.0.2-lp153.3.2 | Common Public Health Statistics and their Confidence Interva |
| R-phenability | 2.0-lp153.2.13 | Nonparametric Stability Analysis |
| R-phenex | 1.4.5-lp153.4.7 | Auxiliary Functions for Phenological Data Analysis |
| R-PHENIX | 1.3.1-lp153.2.13 | Phenotypic Integration Index |
| R-phenModel | 1.0-lp153.17.7 | Insect Phenology Model Evaluation Based on Daily Temperature |
| R-pheno | 1.7.0-lp153.1.9 | Auxiliary Functions for Phenological Data Analysis |
| R-phenocamapi | 0.1.5-lp153.1.13 | Interacting with the PhenoCam Data and API |
| R-phenocamr | 1.1.5-lp153.6.4 | Facilitates \'PhenoCam\' Data Access and Time Series Post-Pr |
| R-phenoCDM | 0.1.3-lp153.2.12 | Continuous Development Models for Incremental Time-Series An |
| R-phenolocrop | 0.0.2-lp153.1.5 | Time-Series Models to the Crop Phenology |
| R-phenomap | 2.0.1-lp153.1.4 | Projecting Satellite-Derived Phenology in Space |
| R-phenopix | 2.4.4-lp153.1.4 | Process Digital Images of a Vegetation Cover |
| R-PheNorm | 0.1.0-lp153.1.13 | Unsupervised Gold-Standard Label Free Phenotyping Algorithm |
| R-PHENTHAUproc | 1.1-lp153.1.2 | Phenology Modelling of Thaumetopoea Processionea |
| R-phers | 1.0.2-lp153.1.5 | Calculate Phenotype Risk Scores |
| R-phiDelta | 1.0.1-lp153.2.13 | Tool for Phi Delta Analysis of Features |
| R-phillydaodata | 1.0.1-lp153.5.12 | Download Data from the Philadelphia District Attorney\'s Off |
| R-PHInfiniteEstimates | 2.9.5-lp153.1.4 | Tools for Inference in the Presence of a Monotone Likelihood |
| R-phm | 1.1.0-lp153.10.5 | Phrase Mining |
| R-phonenumber | 0.2.3-lp153.1.13 | Convert Letters to Numbers and Back as on a Telephone Keypad |
| R-phonR | 1.0.7-lp153.2.13 | Tools for Phoneticians and Phonologists |
| R-phonTools | 0.2.2.2-lp153.1.4 | Tools for Phonetic and Acoustic Analyses |
| R-phosphoricons | 0.2.1-lp153.2.2 | \'Phosphor\' Icons for R |
| R-photobiologyFilters | 0.6.0-lp153.2.2 | Spectral Transmittance and Spectral Reflectance Data |
| R-photobiologyLamps | 0.5.2-lp153.2.2 | Spectral Irradiance Data for Lamps |
| R-photobiologyLEDs | 0.5.2-lp153.2.2 | Spectral Data for Light-Emitting-Diodes |
| R-photobiologyPlants | 0.5.0-lp153.2.2 | Plant Photobiology Related Functions and Data |
| R-photobiologySensors | 0.5.1-lp153.2.2 | Response Data for Light Sensors |
| R-photobiologySun | 0.5.0-lp153.2.2 | Data for Sunlight Spectra |
| R-photobiologyWavebands | 0.5.2-lp153.2.2 | Waveband Definitions for UV, VIS, and IR Radiation |
| R-PhotosynQ | 0.2.3-lp153.1.12 | Connect to PhotosynQ |
| R-photosynthesis | 2.1.4-lp153.2.2 | Tools for Plant Ecophysiology & Modeling |
| R-phreeqc | 3.4.10-lp155.1.5 | R Interface to Geochemical Modeling Software |
| R-phreeqc | 3.4.10-lp153.1.23 | R Interface to Geochemical Modeling Software |
| R-phreeqc | 3.4.10-1.31 | R Interface to Geochemical Modeling Software |
| R-phreeqc | 3.4.10-1.31 | R Interface to Geochemical Modeling Software |
| R-phreeqc | 3.4.10-lp154.1.10 | R Interface to Geochemical Modeling Software |
| R-phsmethods | 1.0.2-lp153.1.4 | Standard Methods for Use in Public Health Scotland |
| R-phuassess | 1.1-lp153.2.13 | Proportional Habitat Use Assessment |
| R-Phxnlme | 1.0.0-lp153.12.5 | Run Phoenix NLME and Perform Post-Processing |
| R-phyclust | 0.1.34-lp153.1.5 | Phylogenetic Clustering (Phyloclustering) |
| R-phyext2 | 0.0.4-lp153.16.2 | An Extension (for Package \'SigTree\') of Some of the Classe |
| R-phylepic | 0.2.0-lp153.1.2 | Combined Visualisation of Phylogenetic and Epidemiological D |
| R-phylin | 2.0.2-lp153.2.13 | Spatial Interpolation of Genetic Data |
| R-phylocanvas | 0.1.3-lp153.27.2 | Interactive Phylogenetic Trees Using the \'Phylocanvas\' Jav |
| R-phyloclim | 0.9.5-lp153.7.4 | Integrating Phylogenetics and Climatic Niche Modeling |
| R-phylocomr | 0.3.4-lp153.1.5 | Interface to \'Phylocom\' |
| R-PHYLOGR | 1.0.11-lp153.2.13 | Functions for Phylogenetically Based Statistical Analyses |
| R-phylogram | 2.1.0-lp153.4.7 | Dendrograms for Evolutionary Analysis |
| R-phyloland | 1.3-lp153.2.13 | Modelling Competitive Exclusion and Limited Dispersal in a S |
| R-phylolm | 2.5-lp154.2.10 | Phylogenetic Linear Regression |
| R-phylolm | 2.5-2.30 | Phylogenetic Linear Regression |
| R-phylolm | 2.5-2.50 | Phylogenetic Linear Regression |
| R-phylolm | 2.5-lp153.2.23 | Phylogenetic Linear Regression |
| R-PhyloMeasures | 2.1-lp153.2.13 | Fast and Exact Algorithms for Computing Phylogenetic Biodive |
| R-phylometrics | 0.0.1-lp153.2.13 | Estimating Statistical Errors of Phylogenetic Metrics |
| R-phyloraster | 2.1.0-lp153.2.2 | Evolutionary Diversity Metrics for Raster Data |
| R-phyloregion | 1.0.8-lp153.3.4 | Biogeographic Regionalization and Macroecology |
| R-phylosamp | 1.0.1-lp153.1.5 | Sample Size Calculations for Molecular and Phylogenetic Stud |
| R-phylotate | 1.3-lp153.2.13 | Phylogenies with Annotations |
| R-phylotools | 0.2.2-lp153.4.7 | Phylogenetic Tools for Eco-Phylogenetics |
| R-phyreg | 1.0.2-lp153.2.13 | The Phylogenetic Regression of Grafen (1989) |
| R-PhysActBedRest | 1.1-lp153.8.2 | Marks Periods of \'Bedrest\' in Actigraph Accelerometer Data |
| R-PhysicalActivity | 0.2.4-lp153.1.13 | Process Accelerometer Data for Physical Activity Measurement |
| R-PhySortR | 1.0.8-lp154.18.1 | A Fast, Flexible Tool for Sorting Phylogenetic Trees |
| R-PhySortR | 1.0.8-lp153.18.2 | A Fast, Flexible Tool for Sorting Phylogenetic Trees |
| R-PhySortR | 1.0.8-lp155.18.1 | A Fast, Flexible Tool for Sorting Phylogenetic Trees |
| R-phytools | 2.3.0-lp153.1.2 | Phylogenetic Tools for Comparative Biology (and Other Things |
| R-phytools | 2.3.0-lp154.1.1 | Phylogenetic Tools for Comparative Biology (and Other Things |
| R-phytools | 2.3.0-lp155.1.1 | Phylogenetic Tools for Comparative Biology (and Other Things |
| R-PhytosanitaryCalculator | 1.1.1-lp153.2.2 | Phytosanitary Calculator for Inspection Plans Based on Risks |
| R-phytotools | 1.0-lp153.3.12 | Phytoplankton Production Tools |
| R-picante | 1.8.2-lp153.4.7 | Integrating Phylogenies and Ecology |
| R-picasso | 1.3.1-lp153.2.13 | Pathwise Calibrated Sparse Shooting Algorithm |
| R-PICBayes | 1.0-lp153.3.11 | Bayesian Models for Partly Interval-Censored Data |
| R-picker | 0.2.6-lp153.13.2 | Pick Data Points from a Deck.gl Scatterplot |
| R-picR | 1.0.0-lp153.1.7 | Predictive Information Criteria for Model Selection |
| R-pid | 0.50-lp153.17.4 | Process Improvement using Data |
| R-piecemaker | 1.0.2-lp153.2.2 | Tools for Preparing Text for Tokenizers |
| R-piggyback | 0.1.5-lp153.4.2 | Managing Larger Data on a GitHub Repository |
| R-PIGShift | 1.0.1-lp153.4.7 | Polygenic Inverse Gamma Shifts |
| R-pillar | 1.9.0-lp153.1.5 | Coloured Formatting for Columns |
| R-pillar | 1.4.6-lp153.2.26 | Coloured Formatting for Columns |
| R-pillar | 1.4.6-2.31 | Coloured Formatting for Columns |
| R-pillar | 1.4.6-lp154.2.10 | Coloured Formatting for Columns |
| R-pillar | 1.4.6-lp155.2.5 | Coloured Formatting for Columns |
| R-pillar | 1.4.6-2.29 | Coloured Formatting for Columns |
| R-pim | 2.0.2-lp153.2.13 | Fit Probabilistic Index Models |
| R-pinfsc50 | 1.3.0-lp153.1.4 | Sequence (\'FASTA\'), Annotation (\'GFF\') and Variants (\'V |
| R-pingers | 0.1.1-lp153.30.2 | Identify, Ping, and Log Internet Provider Connection Data |
| R-pingr | 1.1.2-1.76 | Check if a Remote Computer is Up |
| R-pingr | 1.1.2-lp153.1.23 | Check if a Remote Computer is Up |
| R-pingr | 2.0.3-lp153.1.4 | Check if a Remote Computer is Up |
| R-pingr | 1.1.2-1.30 | Check if a Remote Computer is Up |
| R-PINMA | 1.1.2-lp153.1.5 | Improved Methods for Constructing Prediction Intervals for N |
| R-pinnacle.API | 2.3.3-lp153.5.7 | A Wrapper for the Pinnacle API |
| R-pinnacle.data | 0.1.4-lp153.11.5 | Market Odds Data from Pinnacle |
| R-pinochet | 0.1.0-lp153.2.13 | Data About the Victims of the Pinochet Regime, 1973-1990 |
| R-pinp | 0.0.10-lp153.23.2 | \'pinp\' is not \'PNAS\' |
| R-pinp | 0.0.4-1.24 | \'pinp\' is not \'PNAS\' |
| R-pinp | 0.0.4-lp153.1.23 | \'pinp\' is not \'PNAS\' |
| R-pinp | 0.0.4-1.93 | \'pinp\' is not \'PNAS\' |
| R-pinterestadsR | 0.1.0-lp153.1.8 | Access to Pinterest Ads via the \'Windsor.ai\' API |
| R-pinyin | 1.1.6-lp153.2.13 | Convert Chinese Characters into Pinyin, Sijiao, Wubi or Othe |
| R-pipe.design | 0.5.1-lp153.14.5 | Dual-Agent Dose Escalation for Phase I Trials using the PIPE |
| R-pipebind | 0.1.2-lp153.1.5 | Flexible Binding for Complex Function Evaluation with the Ba |
| R-pipefittr | 0.1.2-lp153.14.2 | Convert Nested Functions to Pipes |
| R-pipeGS | 0.4-lp153.2.13 | Permutation p-Value Estimation for Gene Set Tests |
| R-pipeliner | 0.1.1-lp153.2.13 | Machine Learning Pipelines for R |
| R-pipenostics | 0.2.0-lp153.2.2 | Diagnostics, Reliability and Predictive Maintenance of Pipel |
| R-pipeR | 0.6.1.3-lp153.2.13 | Multi-Paradigm Pipeline Implementation |
| R-PIPS | 1.0.1-lp153.2.13 | Predicted Interval Plots |
| R-piratings | 0.1.9-lp153.14.5 | Calculate Pi Ratings for Teams Competing in Sport Matches |
| R-piRF | 0.1.0-lp153.4.13 | Prediction Intervals for Random Forests |
| R-pisaRT | 2.0.2-lp153.1.5 | Small Example Response and Response Time Data from PISA 2018 |
| R-pitchRx | 1.8.2-lp153.14.7 | Tools for Harnessing \'MLBAM\' \'Gameday\' Data and Visualiz |
| R-PivotalR | 0.1.18.5-lp153.1.13 | A Fast, Easy-to-Use Tool for Manipulating Tables in Database |
| R-pivotaltrackR | 0.2.0-lp153.2.12 | A Client for the \'Pivotal Tracker\' API |
| R-pivottabler | 1.5.5-lp153.6.2 | Create Pivot Tables |
| R-piwikproR | 0.4.0-lp153.7.2 | Access \'Piwik Pro\' Website Statistics |
| R-pixarfilms | 0.2.1-lp153.6.5 | Pixar Films and Achievements |
| R-pixelpuzzle | 1.0.1-lp153.2.2 | Puzzle Game for the R Console |
| R-pixels | 0.1.1-lp153.16.2 | Tools for Working with Image Pixels |
| R-pixiedust | 0.9.4-lp153.5.2 | Tables so Beautifully Fine-Tuned You Will Believe It\'s Magi |
| R-pixmap | 0.4_11-lp154.1.11 | Bitmap Images (``Pixel Maps\'\') |
| R-pixmap | 0.4_11-lp155.1.5 | Bitmap Images (``Pixel Maps\'\') |
| R-pixmap | 0.4_11-1.38 | Bitmap Images (``Pixel Maps\'\') |
| R-pixmap | 0.4.13-lp153.2.2 | Bitmap Images / Pixel Maps |
| R-pixmap | 0.4_11-lp153.1.65 | Bitmap Images (``Pixel Maps\'\') |
| R-PK | 1.3.6-lp153.1.5 | Basic Non-Compartmental Pharmacokinetics |
| R-pk4adi | 0.1.3.2-lp153.1.5 | PK for Anesthetic Depth Indicators |
| R-PKconverter | 1.5-lp153.13.2 | The Parameter Converter of the Pharmacokinetic Models |
| R-pkdata | 0.1.0-lp153.6.7 | Creates Pharmacokinetic/Pharmacodynamic (PK/PD) Data |
| R-pkgbuild | 1.0.6-lp153.1.25 | Find Tools Needed to Build R Packages |
| R-pkgbuild | 1.0.6-1.43 | Find Tools Needed to Build R Packages |
| R-pkgbuild | 1.0.6-1.29 | Find Tools Needed to Build R Packages |
| R-pkgbuild | 1.4.4-lp153.2.2 | Find Tools Needed to Build R Packages |
| R-pkgcond | 0.1.1-lp153.1.13 | Classed Error and Warning Conditions |
| R-pkgconfig | 2.0.3-lp153.2.13 | Private Configuration for \'R\' Packages |
| R-pkgconfig | 2.0.3-lp153.1.28 | Private Configuration for \'R\' Packages |
| R-pkgconfig | 2.0.3-1.30 | Private Configuration for \'R\' Packages |
| R-pkgconfig | 2.0.3-lp154.1.10 | Private Configuration for \'R\' Packages |
| R-pkgconfig | 2.0.3-lp155.1.5 | Private Configuration for \'R\' Packages |
| R-pkgconfig | 2.0.3-1.25 | Private Configuration for \'R\' Packages |
| R-pkgdepR | 1.0.0-lp153.17.2 | Statically Determine Function Dependencies Between Packages |
| R-pkgfilecache | 0.1.5-lp153.1.4 | Download and Manage Optional Package Data |
| R-pkggraph | 0.2.3-lp153.31.2 | A Consistent and Intuitive Platform to Explore the Dependenc |
| R-pkgGraphR | 0.2.0-lp153.2.2 | Graph the Relationship Between Functions in an R Package |
| R-pkgKitten | 0.1.4-lp155.1.5 | Create Simple Packages Which Do not Upset R Package Checks |
| R-pkgKitten | 0.1.4-lp153.1.23 | Create Simple Packages Which Do not Upset R Package Checks |
| R-pkgKitten | 0.1.4-lp154.1.10 | Create Simple Packages Which Do not Upset R Package Checks |
| R-pkgKitten | 0.1.4-1.24 | Create Simple Packages Which Do not Upset R Package Checks |
| R-pkgKitten | 0.1.4-1.46 | Create Simple Packages Which Do not Upset R Package Checks |
| R-pkglite | 0.2.2-lp153.1.4 | Compact Package Representations |
| R-pkgload | 1.0.2-2.47 | Simulate Package Installation and Attach |
| R-pkgload | 1.0.2-lp153.2.25 | Simulate Package Installation and Attach |
| R-pkgload | 1.0.2-2.33 | Simulate Package Installation and Attach |
| R-pkgmaker | 0.32.10-lp153.2.2 | Development Utilities for R Packages |
| R-pkgnet | 0.5.0-lp153.2.2 | Get Network Representation of an R Package |
| R-pkgnews | 0.0.2-lp153.1.13 | Retrieve R Package News Files |
| R-pkgsearch | 3.1.3-lp153.1.4 | Search and Query CRAN R Packages |
| R-PKI | 0.1_5-lp153.9.23 | Public Key Infrastucture for R Based on the X.509 Standard |
| R-PKI | 0.1_5-9.32 | Public Key Infrastucture for R Based on the X.509 Standard |
| R-PKI | 0.1_5-lp154.9.10 | Public Key Infrastucture for R Based on the X.509 Standard |
| R-PKI | 0.1_5-lp155.9.5 | Public Key Infrastucture for R Based on the X.509 Standard |
| R-PKI | 0.1_5-9.30 | Public Key Infrastucture for R Based on the X.509 Standard |
| R-PKLMtest | 1.0.1-lp153.2.7 | Classification Based MCAR Test |
| R-pkmon | 1.1-lp153.1.5 | Least-Squares Estimator under k-Monotony Constraint for Disc |
| R-PKPDmodels | 0.3.2-lp153.2.13 | Pharmacokinetic/pharmacodynamic models |
| R-pkr | 0.1.3-lp153.2.8 | Pharmacokinetics in R |
| R-PKreport | 1.5-lp153.9.11 | A reporting pipeline for checking population pharmacokinetic |
| R-pKSEA | 0.0.1-lp153.2.13 | Prediction-Based Kinase-Substrate Enrichment Analysis |
| R-pksensi | 1.2.3-lp153.4.5 | Global Sensitivity Analysis in Physiologically Based Kinetic |
| R-placer | 0.1.3-lp153.2.13 | PLastic ACcumulation Estimate using R (PLACER) |
| R-PlackettLuce | 0.3.2-lp153.1.13 | Plackett-Luce Models for Rankings |
| R-plainview | 0.2.1-lp153.8.2 | Plot Raster Images Interactively on a Plain HTML Canvas |
| R-plan | 0.4.5-lp153.1.5 | Tools for Project Planning |
| R-PlaneGeometry | 1.3.1-lp153.3.7 | Plane Geometry |
| R-Planesmuestra | 0.1-lp153.2.13 | Functions for Calculating Dodge Romig, MIL STD 105E and MIL |
| R-PlanetNICFI | 1.0.5-lp153.1.4 | Processing of the \'Planet NICFI\' Satellite Imagery |
| R-planets | 0.1.0-lp153.2.13 | Simple and Accessible Data from all Known Planets |
| R-plantecophys | 1.4.6-lp153.1.13 | Modelling and Analysis of Leaf Gas Exchange Data |
| R-plantecowrap | 1.0.4-lp153.18.2 | Enhancing Capabilities of \'plantecophys\' |
| R-plantphysioR | 1.0.0-lp153.2.2 | Fundamental Formulas for Plant Physiology |
| R-plaqr | 2.0-lp153.4.11 | Partially Linear Additive Quantile Regression |
| R-Plasmidprofiler | 0.1.6-lp153.26.2 | Visualization of Plasmid Profile Results |
| R-Plasmode | 0.1.0-lp153.13.12 | \'Plasmode\' Simulation |
| R-plasso | 0.1.2-lp153.1.4 | Cross-Validated (Post-) Lasso |
| R-plater | 1.0.4-lp153.5.7 | Read, Tidy, and Display Data from Microtiter Plates |
| R-platetools | 0.1.7-lp153.2.2 | Tools and Plots for Multi-Well Plates |
| R-PlatformDesign | 2.1.4-lp153.2.7 | Optimal Two-Period Multiarm Platform Design with New Experim |
| R-platowork | 0.0.1-lp153.1.13 | Data from a Test of the PlatoWork tDCS Headset |
| R-plattice | 1.0-lp153.4.5 | Lattice Plot for Panel Data |
| R-play | 0.1.3-lp153.6.4 | Visualize Sports Data |
| R-PlayerChart | 1.0.0-lp153.1.2 | Generate Pizza Chart: Player Stats 0-100 |
| R-PlayerRatings | 1.1.0-lp153.2.13 | Dynamic Updating Methods for Player Ratings Estimation |
| R-playwith | 0.9_54-4.29 | A GUI for interactive plots using GTK+ |
| R-playwith | 0.9_54-lp153.4.23 | A GUI for interactive plots using GTK+ |
| R-playwith | 0.9_54-4.38 | A GUI for interactive plots using GTK+ |
| R-pldamixture | 0.1.1-lp153.1.2 | Post-Linkage Data Analysis Based on Mixture Modelling |
| R-plde | 0.1.2-lp153.2.13 | Penalized Log-Density Estimation Using Legendre Polynomials |
| R-pleiades | 0.3.0-lp153.2.13 | Interface to the \'Pleiades\' \'Archeological\' Database |
| R-pleio | 1.9-lp153.4.2 | Pleiotropy Test for Multiple Traits on a Genetic Marker |
| R-PLEXI | 1.0.0-lp153.4.2 | Multiplex Network Analysis |
| R-plfm | 2.2.6-lp153.1.4 | Probabilistic Latent Feature Analysis |
| R-plgp | 1.1.12-lp153.1.8 | Particle Learning of Gaussian Processes |
| R-PLindleyROC | 0.1.1-lp153.1.4 | Receiver Operating Characteristic Based on Power Lindley Dis |
| R-plink | 1.5.1-lp153.2.13 | IRT Separate Calibration Linking Methods |
| R-plinkFile | 0.2.1-lp153.1.4 | \'PLINK\' (and \'GCTA\') File Helpers |
| R-PLIS | 1.2-lp153.1.8 | Multiplicity Control using Pooled LIS Statistic |
| R-plm | 2.6.4-lp153.2.2 | Linear Models for Panel Data |
| R-plmm | 0.1.1-lp153.2.13 | Partially Linear Mixed Effects Model |
| R-pln | 0.2.2-lp153.2.13 | Polytomous Logit-Normit (Graded Logistic) Model Estimation |
| R-plnr | 2022.11.23-lp153.6.2 | A System for Planing Analyses |
| R-plogr | 0.2.0-1.38 | The \'plog\' C++ Logging Library |
| R-plogr | 0.2.0-lp154.1.10 | The \'plog\' C++ Logging Library |
| R-plogr | 0.2.0-lp153.2.13 | The \'plog\' C++ Logging Library |
| R-plogr | 0.2.0-1.28 | The \'plog\' C++ Logging Library |
| R-plogr | 0.2.0-lp153.1.26 | The \'plog\' C++ Logging Library |
| R-plogr | 0.2.0-lp155.1.5 | The \'plog\' C++ Logging Library |
| R-PLordprob | 1.1-lp153.3.9 | Multivariate Ordered Probit Model via Pairwise Likelihood |
| R-PLORN | 0.1.1-lp153.6.5 | Prediction with Less Overfitting and Robust to Noise |
| R-plot.matrix | 1.6.2-lp153.1.10 | Visualizes a Matrix as Heatmap |
| R-plot3D | 1.4.1-lp153.1.4 | Plotting Multi-Dimensional Data |
| R-plot3Drgl | 1.0.4-lp153.3.5 | Plotting Multi-Dimensional Data - Using \'rgl\' |
| R-plot3logit | 3.1.4-lp153.1.4 | Ternary Plots for Trinomial Regression Models |
| R-plot4fun | 0.1.0-lp153.1.4 | Just Plot for Fun |
| R-plotBart | 0.1.7-lp153.7.2 | Diagnostic and Plotting Functions to Supplement \'bartCause\ |
| R-plotbb | 0.0.6-lp153.5.4 | Grammar of Graphics for \'base\' Plot |
| R-PlotBivInvGaus | 0.1.0-lp153.9.2 | Density Contour Plot for Bivariate Inverse Gaussian Distribu |
| R-plotcli | 0.1.0-lp153.2.2 | Command Line Interface Plotting |
| R-PlotContour | 0.1.0-lp153.2.13 | Plot Contour Line |
| R-plotdap | 1.0.3-lp153.4.2 | Easily Visualize Data from \'ERDDAP\' Servers via the \'rerd |
| R-plotDK | 0.1.0-lp153.19.2 | Plot Summary Statistics as Choropleth Maps of Danish Adminis |
| R-plotfunctions | 1.4-lp153.3.13 | Various Functions to Facilitate Visualization of Data and An |
| R-plotGMM | 0.2.2-lp153.14.5 | Tools for Visualizing Gaussian Mixture Models |
| R-plothelper | 0.1.9-lp153.9.2 | New Plots Based on \'ggplot2\' and Functions to Create Regul |
| R-plotKML | 0.8.3-lp153.4.7 | Visualization of Spatial and Spatio-Temporal Objects in Goog |
| R-plotluck | 1.1.1-lp153.29.2 | \'ggplot2\' Version of \"I\'m Feeling Lucky!\" |
| R-plotly | 4.7.1-lp153.2.14 | Create Interactive Web Graphics via \'plotly.js\' |
| R-plotly | 4.7.1-2.102 | Create Interactive Web Graphics via \'plotly.js\' |
| R-plotly | 4.7.1-2.14 | Create Interactive Web Graphics via \'plotly.js\' |
| R-plotly | 4.10.4-lp153.4.2 | Create Interactive Web Graphics via \'plotly.js\' |
| R-plotlyGeoAssets | 0.0.2-lp153.2.13 | Render \'Plotly\' Maps without an Internet Connection |
| R-plotMCMC | 2.0.1-lp153.3.12 | MCMC Diagnostic Plots |
| R-plotMElm | 0.1.5-lp153.14.5 | Plot Marginal Effects from Linear Models |
| R-plotmm | 0.1.1-lp153.2.5 | Tidy Tools for Visualizing Mixture Models |
| R-plotmo | 1.3_3-lp153.1.24 | Plot a model\'s response while varying the values of the pre |
| R-plotmo | 1.3_3-lp154.1.10 | Plot a model\'s response while varying the values of the pre |
| R-plotmo | 1.3_3-1.38 | Plot a model\'s response while varying the values of the pre |
| R-plotmo | 1.3_3-1.26 | Plot a model\'s response while varying the values of the pre |
| R-plotmo | 1.3_3-lp155.1.5 | Plot a model\'s response while varying the values of the pre |
| R-plotpc | 1.0.4-lp153.2.13 | Plot Principal Component Histograms Around a Scatter Plot |
| R-PlotPrjNetworks | 1.0.0-lp153.15.2 | Useful Networking Tools for Project Management |
| R-plotprotein | 1.0-lp153.8.7 | Development of Visualization Tools for Protein Sequence |
| R-plotRCS | 0.1.4-lp153.5.4 | Plot Restricted Cubic Splines Curves |
| R-PlotRegionHighlighter | 1.0-lp153.2.13 | Creates an envelope that surrounds a set of points plotted i |
| R-plotrix | 3.8.4-lp153.1.4 | Various plotting functions |
| R-plotrix | 3.5_7-1.28 | Various plotting functions |
| R-plotrix | 3.5_7-lp154.1.10 | Various plotting functions |
| R-plotrix | 3.5_7-lp155.1.5 | Various plotting functions |
| R-plotrix | 3.5_7-1.38 | Various plotting functions |
| R-plotrix | 3.5_7-lp153.1.26 | Various plotting functions |
| R-plotROC | 2.3.1-lp153.3.2 | Generate Useful ROC Curve Charts for Print and Interactive U |
| R-plotrr | 1.0.0-lp153.16.7 | Making Visual Exploratory Data Analysis with Nested Data Eas |
| R-plotscale | 0.1.6-lp153.2.13 | Scale Graphics Devices Using Plot Dimensions |
| R-plotwidgets | 0.5.1-lp153.1.9 | Spider Plots, ROC Curves, Pie Charts and More for Use in Oth |
| R-plRasch | 1.0-lp153.2.13 | Log Linear by Linear Association models and Rasch family mod |
| R-PLreg | 0.4.1-lp153.1.7 | Power Logit Regression for Modeling Bounded Data |
| R-PLRModels | 1.4-lp153.1.5 | Statistical Inference in Partial Linear Regression Models |
| R-pls | 2.7.1-2.28 | Partial Least Squares and Principal Component Regression |
| R-pls | 2.7.1-lp155.2.5 | Partial Least Squares and Principal Component Regression |
| R-pls | 2.7.1-lp153.2.23 | Partial Least Squares and Principal Component Regression |
| R-pls | 2.7.1-lp154.2.10 | Partial Least Squares and Principal Component Regression |
| R-pls | 2.7.1-2.25 | Partial Least Squares and Principal Component Regression |
| R-PLSbiplot1 | 0.1-lp153.2.13 | The Partial Least Squares (PLS) Biplot |
| R-plsdepot | 0.2.0-lp153.1.5 | Partial Least Squares (PLS) Data Analysis Methods |
| R-plsdof | 0.3.2-lp153.2.7 | Degrees of Freedom and Statistical Inference for Partial Lea |
| R-plsgenomics | 1.5.3-lp153.2.2 | PLS Analyses for Genomics |
| R-plsmmLasso | 1.1.0-lp153.1.2 | Variable Selection and Inference for Partial Semiparametric |
| R-plsmselect | 0.2.0-lp153.14.7 | Linear and Smooth Predictor Modelling with Penalisation and |
| R-plspm | 0.5.1-lp153.1.4 | Partial Least Squares Path Modeling (PLS-PM) |
| R-plsr | 0.0.1-lp153.12.11 | Pleasure - Partial Least Squares Analysis with Permutation T |
| R-plsVarSel | 0.9.12-lp153.2.2 | Variable Selection in Partial Least Squares |
| R-pltesim | 1.0-lp153.17.7 | Simulate Probabilistic Long-Term Effects in Models with Temp |
| R-plu | 0.3.0-lp153.1.5 | Dynamically Pluralize Phrases |
| R-plugdensity | 0.8.5-lp153.1.4 | Plug-in Kernel Density Estimation |
| R-plumber | 0.4.6-4.55 | An API Generator for R |
| R-plumber | 0.4.6-4.14 | An API Generator for R |
| R-plumber | 0.4.6-lp153.4.14 | An API Generator for R |
| R-plumbr | 0.6.10-lp153.1.9 | Mutable and Dynamic Data Models |
| R-plus | 1.0-lp153.2.13 | Penalized Linear Unbiased Selection |
| R-pluscode | 0.1.0-lp153.2.12 | Encoder for Google \'Pluscodes\' |
| R-plusser | 0.4.0-lp153.8.7 | A Google+ Interface for R |
| R-plutor | 0.1.0-lp153.4.3 | Useful Functions for Visualization |
| R-plyr | 1.8.4-3.35 | Tools for splitting, applying and combining data |
| R-plyr | 1.8.4-lp153.3.26 | Tools for splitting, applying and combining data |
| R-plyr | 1.8.4-lp155.3.5 | Tools for splitting, applying and combining data |
| R-plyr | 1.8.4-3.62 | Tools for splitting, applying and combining data |
| R-plyr | 1.8.4-lp154.3.10 | Tools for splitting, applying and combining data |
| R-pm4py | 1.2.7-lp153.3.12 | Interface to the \'PM4py\' Process Mining Library |
| R-PMA2 | 2.1-lp153.1.9 | Penalized Multivariate Analysis |
| R-pmc | 1.0.6-lp153.4.1 | Phylogenetic Monte Carlo |
| R-pmc | 1.0.6-lp154.4.1 | Phylogenetic Monte Carlo |
| R-pmc | 1.0.6-lp155.4.1 | Phylogenetic Monte Carlo |
| R-pmcalibration | 0.1.0-lp153.5.2 | Calibration Curves for Clinical Prediction Models |
| R-pmcgd | 1.1-lp153.2.13 | pmcgd |
| R-PMCMR | 4.4-lp153.1.11 | Calculate Pairwise Multiple Comparisons of Mean Rank Sums |
| R-pmdplyr | 0.3.3-lp153.5.13 | \'dplyr\' Extension for Common Panel Data Maneuvers |
| R-pmetar | 0.5.0-lp153.2.2 | Processing METAR Weather Reports |
| R-PMEvapotranspiration | 0.1.0-lp153.2.2 | Calculation of the Penman-Monteith Evapotranspiration using |
| R-pmhtutorial | 1.5-lp153.3.12 | Minimal Working Examples for Particle Metropolis-Hastings |
| R-PML | 1.2-lp153.6.12 | Penalized Multi-Band Learning for Circadian Rhythm Analysis |
| R-pmlbr | 0.2.1-lp153.1.5 | Interface to the Penn Machine Learning Benchmarks Data Repos |
| R-pmledecon | 0.2.1-lp153.1.9 | Deconvolution Density Estimation using Penalized MLE |
| R-pmml | 1.4.2-lp153.1.23 | Generate PMML for various models |
| R-pmml | 2.5.2-lp153.4.2 | Generate PMML for various models |
| R-pmml | 1.4.2-1.24 | Generate PMML for various models |
| R-pmml | 1.4.2-1.39 | Generate PMML for various models |
| R-pmmlTransformations | 1.3.3-lp153.2.13 | Transforms Input Data from a PMML Perspective |
| R-pmparser | 1.0.20-lp153.1.4 | Create and Maintain a Relational Database of Data from PubMe |
| R-pmpp | 0.1.1-lp153.14.11 | Posterior Mean Panel Predictor |
| R-pmr | 1.2.5.1-lp153.1.8 | Probability Models for Ranking Data |
| R-pmsampsize | 1.1.3-lp153.1.4 | Sample Size for Development of a Prediction Model |
| R-pmultinom | 1.0.0-lp153.1.11 | One-Sided Multinomial Probabilities |
| R-pmvalsampsize | 0.1.0-lp153.1.4 | Sample Size for External Validation of a Prediction Model |
| R-pmwg | 0.2.7-lp153.1.4 | Particle Metropolis Within Gibbs |
| R-pmxcode | 0.1.3-lp154.1.1 | Create Pharmacometric Models |
| R-pmxcode | 0.1.3-lp153.1.1 | Create Pharmacometric Models |
| R-pmxcode | 0.1.3-lp155.1.1 | Create Pharmacometric Models |
| R-pmxcv | 0.0.1.0-lp153.2.2 | Integration-Based Coefficients of Variance |
| R-pmxpartab | 0.5.0-lp153.8.2 | Parameter Tables for PMx Analyses |
| R-PNADcIBGE | 0.7.5-lp153.3.2 | Downloading, Reading and Analyzing PNADC Microdata |
| R-PNDSIBGE | 0.1.1-lp153.3.2 | Downloading, Reading and Analyzing PNDS Microdata - Package |
| R-png | 0.1_7-2.38 | Read and write PNG images |
| R-png | 0.1_7-lp155.2.5 | Read and write PNG images |
| R-png | 0.1_7-lp154.2.10 | Read and write PNG images |
| R-png | 0.1_7-2.36 | Read and write PNG images |
| R-png | 0.1_7-lp153.2.27 | Read and write PNG images |
| R-png | 0.1.8-lp153.2.7 | Read and write PNG images |
| R-pnmtrem | 1.3-lp153.2.13 | Probit-Normal Marginalized Transition Random Effects Models |
| R-pnn | 1.0.1-lp153.2.13 | Probabilistic neural networks |
| R-PNSIBGE | 0.2.1-lp153.3.2 | Downloading, Reading and Analyzing PNS Microdata |
| R-PNWColors | 0.1.0-lp153.2.13 | Color Palettes Inspired by Nature in the US Pacific Northwes |
| R-pocketapi | 0.1-lp153.19.2 | Wrapper Around the \'Pocket\' API |
| R-POCRE | 0.6.0-lp153.6.5 | Penalized Orthogonal-Components Regression |
| R-pocrm | 0.13-lp153.1.12 | Dose Finding in Drug Combination Phase I Trials Using PO-CRM |
| R-POD | 1.2.0-lp153.2.13 | Probability of Detection for Qualitative PCR Methods |
| R-podcleaner | 0.1.2-lp153.11.2 | Legacy Scottish Post Office Directories Cleaner |
| R-poems | 1.0.4-lp153.5.5 | Pattern-Oriented Ensemble Modeling System |
| R-POET | 2.0-lp153.2.13 | Principal Orthogonal ComplEment Thresholding (POET) Method |
| R-POFIBGE | 0.1.6-lp153.2.10 | Downloading, Reading and Analyzing POF Microdata - Package i |
| R-PogromcyDanych | 1.7.1-lp153.4.2 | DataCrunchers (PogromcyDanych) is the Massive Online Open Co |
| R-PoiClaClu | 1.0.2.1-lp153.2.13 | Classification and Clustering of Sequencing Data Based on a |
| R-poilog | 0.4.2-lp153.1.8 | Poisson lognormal and bivariate Poisson lognormal distributi |
| R-POINT | 1.3-lp153.1.5 | Protein Structure Guided Local Test |
| R-pointblank | 0.11.2-lp153.1.8 | Data Validation and Organization of Metadata for Local and R |
| R-pointdensityP | 0.3.5-lp153.2.13 | Point Density for Geospatial Data |
| R-PointedSDMs | 1.3.2-lp153.1.4 | Fit Models Derived from Point Processes to Species Distribut |
| R-pointr | 0.2.0-lp153.6.2 | Working Comfortably with Pointers and Shortcuts to R Objects |
| R-pointRes | 2.0.2-lp153.5.2 | Analyzing Pointer Years and Components of Resilience |
| R-PoisBinNonNor | 1.3.3-lp153.1.13 | Data Generation with Poisson, Binary and Continuous Componen |
| R-PoisBinOrd | 1.4.3-lp153.1.13 | Data Generation with Poisson, Binary and Ordinal Components |
| R-PoisBinOrdNonNor | 1.5.3-lp153.1.13 | Generation of Up to Four Different Types of Variables |
| R-poisFErobust | 2.0.0-lp153.2.13 | Poisson Fixed Effects Robust |
| R-poismf | 0.4.0.4-lp153.1.5 | Factorization of Sparse Counts Matrices Through Poisson Like |
| R-PoisNonNor | 1.6.3-lp153.1.13 | Simultaneous Generation of Count and Continuous Data |
| R-PoisNor | 1.3.3-lp153.1.13 | Simultaneous Generation of Multivariate Data with Poisson an |
| R-poisson | 1.0-lp153.2.13 | Simulating Homogenous & Non-Homogenous Poisson Processes |
| R-poisson.glm.mix | 1.4-lp153.1.5 | Fit High Dimensional Mixtures of Poisson GLMs |
| R-poissonMT | 0.3.5-lp153.2.13 | Robust M-Estimators Based on Transformations for Poisson Mod |
| R-PoissonPCA | 1.0.3-lp153.1.12 | Poisson-Noise Corrected PCA |
| R-poissonreg | 1.0.1-lp153.6.2 | Model Wrappers for Poisson Regression |
| R-PoissonSeq | 1.1.2-lp153.2.13 | Significance analysis of sequencing data based on a Poisson |
| R-poistweedie | 1.0.2-lp153.1.4 | Poisson-Tweedie exponential family models |
| R-poistweedie | 1.0-1.38 | Poisson-Tweedie exponential family models |
| R-poistweedie | 1.0-1.25 | Poisson-Tweedie exponential family models |
| R-poistweedie | 1.0-lp154.1.10 | Poisson-Tweedie exponential family models |
| R-poistweedie | 1.0-lp153.1.23 | Poisson-Tweedie exponential family models |
| R-poistweedie | 1.0-lp155.1.5 | Poisson-Tweedie exponential family models |
| R-pokemon | 0.1.3-lp153.1.5 | Pokemon Data in English and Brazilian Portuguese |
| R-poker | 0.8.8-lp153.2.13 | Play Texas Hold Em Poker |
| R-polAr | 0.2.0.1-lp153.1.13 | Argentina Political Analysis |
| R-PolarCAP | 1.0.1-lp153.2.2 | Access the Polarization in Comparative Attitudes Project |
| R-polaroid | 0.1.0-lp153.3.2 | Create Hex Stickers with \'shiny\' |
| R-poLCA | 1.6.0.1-lp153.1.9 | Polytomous variable Latent Class Analysis |
| R-PolicyPortfolios | 0.3-lp153.8.2 | Tools for Managing, Measuring and Visualizing Policy Portfol |
| R-politicaldata | 0.1.3-lp153.2.13 | Tools for Acquiring and Analyzing Political Data |
| R-politicsR | 0.1.0-lp153.1.5 | Calculating Political System Metrics |
| R-pollen | 0.82.0-lp153.9.7 | Analysis of Aerobiological Data |
| R-pollster | 0.1.6-lp153.3.2 | Calculate Crosstab and Topline Tables of Weighted Survey Dat |
| R-pollstR | 2.0.1-lp153.3.13 | Client for the HuffPost Pollster API |
| R-polspline | 1.1.25-lp153.2.2 | Polynomial spline routines |
| R-polspline | 1.1.9-lp154.3.10 | Polynomial spline routines |
| R-polspline | 1.1.9-lp155.3.5 | Polynomial spline routines |
| R-polspline | 1.1.9-3.31 | Polynomial spline routines |
| R-polspline | 1.1.9-3.38 | Polynomial spline routines |
| R-polspline | 1.1.9-lp153.3.23 | Polynomial spline routines |
| R-polyaAeppli | 2.0.2-lp153.1.9 | Implementation of the Polya-Aeppli Distribution |
| R-polyapost | 1.7-lp153.1.12 | Simulating from the Polya posterior |
| R-Polychrome | 1.5.1-lp153.1.9 | Qualitative Palettes with Many Colors |
| R-polyclip | 1.10.0-lp153.1.26 | Polygon Clipping |
| R-polyclip | 1.10.0-lp154.1.10 | Polygon Clipping |
| R-polyclip | 1.10.0-1.36 | Polygon Clipping |
| R-polyclip | 1.10.0-1.34 | Polygon Clipping |
| R-polyclip | 1.10.0-lp155.1.5 | Polygon Clipping |
| R-polycor | 0.8.1-lp153.1.11 | Polychoric and Polyserial Correlations |
| R-PolycrossDesigns | 1.1.0-lp153.1.8 | Polycross Designs (\"PolycrossDesigns\") |
| R-polyCub | 0.9.1-lp153.2.2 | Cubature over Polygonal Domains |
| R-PolyHaplotyper | 1.0.1-lp153.1.12 | Assignment of Haplotypes Based on SNP Dosages in Diploids an |
| R-polymapR | 1.1.3-lp153.4.5 | Linkage Analysis in Outcrossing Polyploids |
| R-polyMatrix | 0.9.16-lp153.1.12 | Infrastructure for Manipulation Polynomial Matrices |
| R-polynom | 1.3.9-lp153.1.24 | A collection of functions to implement a class for univariat |
| R-polynom | 1.3.9-lp155.1.5 | A collection of functions to implement a class for univariat |
| R-polynom | 1.4.1-lp153.1.10 | A collection of functions to implement a class for univariat |
| R-polynom | 1.3.9-lp154.1.10 | A collection of functions to implement a class for univariat |
| R-polynom | 1.3.9-1.38 | A collection of functions to implement a class for univariat |
| R-polynom | 1.3.9-1.26 | A collection of functions to implement a class for univariat |
| R-PolyPatEx | 0.9.2-lp153.2.13 | Paternity Exclusion in Autopolyploid Species |
| R-polypharmacy | 1.0.0-lp153.8.2 | Calculate Several Polypharmacy Indicators |
| R-polypoly | 0.0.3-lp153.4.2 | Helper Functions for Orthogonal Polynomials |
| R-polyreg | 0.8.0-lp153.1.10 | Polynomial Regression |
| R-polySegratio | 0.2.5-lp153.2.13 | Simulate and Test Marker Dosage for Dominant Markers in Auto |
| R-polySegratioMM | 0.6.4-lp153.2.13 | Bayesian Mixture Models for Marker Dosage in Autopolyploids |
| R-PolyTree | 0.0.1-lp153.2.2 | Estimate Causal Polytree from Data |
| R-PolyTrend | 1.2-lp153.2.13 | Trend Classification Algorithm |
| R-pom | 1.1-lp153.3.12 | POM - Patch Occupancy Models |
| R-POMADE | 0.2.0-lp153.1.4 | Power for Meta-Analysis of Dependent Effects |
| R-pomcheckr | 0.1.1-lp153.9.2 | Graphical Check for Proportional Odds Assumption |
| R-pomdpSolve | 1.0.4-lp153.1.5 | Interface to \'pomdp-solve\' for Partially Observable Markov |
| R-Pomic | 1.0.4-lp153.2.13 | Pattern Oriented Modelling Information Criterion |
| R-POMS | 1.0.1-lp153.5.4 | Phylogenetic Organization of Metagenomic Signals |
| R-pooh | 0.3.2-lp153.2.13 | Partial Orders and Relations |
| R-poolABC | 1.0.0-lp153.1.5 | Approximate Bayesian Computation with Pooled Sequencing Data |
| R-PoolBal | 0.1.0-lp153.1.4 | Balancing Central and Marginal Rejection of Pooled p-Values |
| R-PoolDilutionR | 1.0.0-lp153.1.7 | Calculate Gross Biogeochemical Flux Rates from Isotope Pool |
| R-PooledCohort | 0.0.2-lp153.2.2 | Predicted Risk for CVD using Pooled Cohort Equations, PREVEN |
| R-PooledMeanGroup | 1.0-lp153.2.13 | Pooled Mean Group Estimation of Dynamic Heterogenous Panels |
| R-poolHelper | 1.1.0-lp153.1.5 | Simulates Pooled Sequencing Genetic Data |
| R-pooling | 1.1.2-lp153.33.2 | Fit Poolwise Regression Models |
| R-poolr | 1.1.1-lp153.1.12 | Methods for Pooling P-Values from (Dependent) Tests |
| R-poorman | 0.2.7-lp153.1.4 | A Poor Man\'s Dependency Free Recreation of \'dplyr\' |
| R-pop | 0.1-lp153.7.4 | A Flexible Syntax for Population Dynamic Modelling |
| R-pop.wolf | 1.0-lp153.1.10 | Models for Simulating Wolf Populations |
| R-popbayes | 1.2.0-lp153.4.2 | Bayesian Model to Estimate Population Trends from Counts Ser |
| R-popbio | 2.8-lp153.2.2 | Construction and analysis of matrix population models |
| R-popdemo | 1.3.1-lp153.2.11 | Demographic Modelling Using Projection Matrices |
| R-POPdemog | 1.0.3-lp153.2.13 | Plot Population Demographic History |
| R-popEpi | 0.4.12-lp153.2.2 | Functions for Epidemiological Analysis using Population Data |
| R-PopGenKit | 1.0-lp153.2.13 | Useful functions for (batch) file conversion and data resamp |
| R-PopGenome | 2.2.3-1.38 | An Efficient Swiss Army Knife for Population Genomic Analyse |
| R-PopGenome | 2.2.3-lp155.1.5 | An Efficient Swiss Army Knife for Population Genomic Analyse |
| R-PopGenome | 2.2.3-lp153.1.23 | An Efficient Swiss Army Knife for Population Genomic Analyse |
| R-PopGenome | 2.2.3-lp154.1.10 | An Efficient Swiss Army Knife for Population Genomic Analyse |
| R-PopGenome | 2.2.3-1.30 | An Efficient Swiss Army Knife for Population Genomic Analyse |
| R-PopGenome | 2.7.5-lp153.2.13 | An Efficient Swiss Army Knife for Population Genomic Analyse |
| R-popgenr | 0.2-lp153.1.13 | Accompaniment to Population Genetics with R: An Introduction |
| R-PopGenReport | 3.1-lp153.8.2 | A Simple Framework to Analyse Population and Landscape Genet |
| R-POPInf | 1.0.0-lp153.1.4 | Assumption-Lean and Data-Adaptive Post-Prediction Inference |
| R-popkin | 1.3.23-lp153.2.7 | Estimate Kinship and FST under Arbitrary Population Structur |
| R-popKorn | 0.3.0-lp153.2.13 | For interval estimation of mean of selected populations |
| R-popPCR | 0.1.1.1-lp153.1.13 | Classify Digital PCR Droplets by Fitting Fluorescence Popula |
| R-poppr | 2.9.6-lp153.3.2 | Genetic Analysis of Populations with Mixed Reproduction |
| R-popprxl | 0.1.4-lp153.1.12 | Read GenAlEx Files Directly from Excel |
| R-popPyramid | 0.1.1-lp153.8.7 | Population Pyramids |
| R-popReconstruct | 1.0.6-lp153.2.13 | Reconstruct Human Populations of the Recent Past |
| R-popRF | 1.0.0-lp153.2.12 | Random Forest-Informed Population Disaggregation |
| R-popsom | 6.0-lp153.8.5 | An Efficient Implementation of Kohonen\'s Self-Organizing Ma |
| R-poptrend | 0.2.0-lp153.1.4 | Estimate Smooth and Linear Trends from Population Count Surv |
| R-population | 0.3-lp153.1.10 | Models for Simulating Populations |
| R-PopulationGrowthR | 0.1.1-lp153.4.7 | Linear Population Growth Scenarios |
| R-populR | 0.1.6-lp153.3.7 | Population Downscaling |
| R-PopVar | 1.3.1-lp153.1.4 | Genomic Breeding Tools: Genetic Variance Prediction and Cros |
| R-port4me | 0.7.1-lp153.2.2 | Get the Same, Personal, Free \'TCP\' Port over and over |
| R-portfolio.optimization | 1.0.0-lp153.4.5 | Contemporary Portfolio Optimization |
| R-PortfolioAnalysis | 1.1.1-lp153.4.13 | Portfolio Optimization Methods |
| R-PortfolioAnalytics | 1.1.0-lp153.2.13 | Portfolio Analysis, Including Numerical Methods for Optimiza |
| R-portfolioBacktest | 0.4.1-lp153.7.5 | Automated Backtesting of Portfolios over Multiple Datasets |
| R-portion | 0.1.0-lp153.1.4 | Extracting a Data Portion |
| R-portn | 1.0.0-lp153.1.5 | Portfolio Analysis for Nature |
| R-PortRisk | 1.1.0-lp153.5.5 | Portfolio Risk Analysis |
| R-portsort | 0.1.0-lp153.2.13 | Factor-Based Portfolio Sorts |
| R-PoSI | 1.1-lp153.2.13 | Valid Post-Selection Inference for Linear LS Regression |
| R-PosRatioDist | 1.2.1-lp153.1.9 | Quotient of Random Variables Conditioned to the Positive Qua |
| R-POSSA | 0.6.4-lp153.1.5 | Power Simulation for Sequential Analyses and Multiple Hypoth |
| R-postcards | 0.2.3-lp153.14.2 | Create Beautiful, Simple Personal Websites |
| R-PostcodesioR | 0.3.1-lp153.1.11 | API Wrapper Around \'Postcodes.io\' |
| R-postDoubleR | 1.4.12-lp153.9.12 | Post Double Selection with Double Machine Learning |
| R-posterdown | 1.0-lp153.21.2 | Generate PDF Conference Posters Using R Markdown |
| R-PosteriorBootstrap | 0.1.2-lp153.1.5 | Non-Parametric Sampling with Parallel Monte Carlo |
| R-postHoc | 0.1.3-lp153.7.4 | Tools for Post-Hoc Analysis |
| R-postinfectious | 0.1.0-lp153.2.13 | Estimating the Incubation Period Distribution of Post-Infect |
| R-postlightmercury | 1.2-lp153.12.4 | Parses Web Pages using Postlight Mercury |
| R-postlogic | 0.1.0.1-lp153.2.13 | Infix and Postfix Logic Operators |
| R-POSTm | 1.4-lp153.2.2 | Phylogeny-Guided OTU-Specific Association Test for Microbiom |
| R-POT | 1.1.10-lp153.1.10 | Generalized Pareto Distribution and Peaks Over Threshold |
| R-potions | 0.2.0-lp153.2.2 | Easy Options Management |
| R-potools | 0.2.4-lp153.1.4 | Tools for Internationalization and Portability in R Packages |
| R-potts | 0.5.11-lp153.1.8 | Markov Chain Monte Carlo for Potts Models |
| R-PottsUtils | 0.3.3-lp153.6.2 | Utility Functions of the Potts Models |
| R-pould | 1.0.1-lp153.34.3 | Phased or Unphased Linkage Disequilibrium |
| R-POV | 0.1.4-lp153.17.2 | Partition of Variation Variance Component Analysis Method |
| R-pow.int | 1.3-lp153.1.8 | Binary Exponentiation |
| R-powdist | 0.1.4-lp153.2.13 | Power and Reversal Power Distributions |
| R-Power2Stage | 0.5.4-lp153.4.2 | Power and Sample-Size Distribution of 2-Stage Bioequivalence |
| R-powerAnalysis | 0.2.1-lp153.2.13 | Power Analysis in Experimental Design |
| R-powerbiR | 0.1.0-lp153.1.8 | An Interface to the \'Power BI REST APIs\' |
| R-powerCompRisk | 1.0.1-lp153.2.13 | Power Analysis Tool for Joint Testing Hazards with Competing |
| R-powerEQTL | 0.3.4-lp153.1.12 | Power and Sample Size Calculation for Bulk Tissue and Single |
| R-powerGWASinteraction | 1.1.3-lp153.2.13 | Power Calculations for GxE and GxG Interactions for GWAS |
| R-powerindexR | 1.6-lp153.2.2 | Measuring the Power in Voting Systems |
| R-powerjoin | 0.1.0-lp153.5.2 | Extensions of \'dplyr\' and \'fuzzyjoin\' Join Functions |
| R-powerLATE | 0.1.2-lp153.2.2 | Generalized Power Analysis for LATE |
| R-poweRlaw | 0.80.0-lp153.1.4 | Analysis of Heavy Tailed Distributions |
| R-powerlmm | 0.4.0-lp153.3.12 | Power Analysis for Longitudinal Multilevel Models |
| R-powerly | 1.8.6-lp153.15.5 | Sample Size Analysis for Psychological Networks and More |
| R-powerMediation | 0.3.4-lp153.1.13 | Power/Sample Size Calculation for Mediation Analysis |
| R-PowerNormal | 1.2.0-lp153.2.13 | Power Normal Distribution |
| R-powerpkg | 1.6-lp153.1.9 | Power analyses for the affected sib pair and the TDT design |
| R-powerplus | 3.1-lp153.2.13 | Exponentiation Operations |
| R-PowerSDI | 1.0.0-lp153.3.2 | Calculate Standardised Drought Indices Using NASA POWER Data |
| R-powerSurvEpi | 0.1.3-lp153.1.12 | Power and Sample Size Calculation for Survival Analysis of E |
| R-PowerTOST | 1.3_5-1.24 | Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies |
| R-PowerTOST | 1.3_5-lp154.1.10 | Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies |
| R-PowerTOST | 1.3_5-lp153.1.23 | Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies |
| R-PowerTOST | 1.3_5-1.39 | Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies |
| R-PowerTOST | 1.3_5-lp155.1.5 | Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies |
| R-PowerTOST | 1.5.6-lp153.2.2 | Power and Sample Size for (Bio)Equivalence Studies |
| R-PowerUpR | 1.1.0-lp153.1.12 | Power Analysis Tools for Multilevel Randomized Experiments |
| R-powRICLPM | 0.1.1-lp153.2.7 | Perform Power Analysis for the Random Intercept Cross-Lagged |
| R-PP3 | 1.2-lp153.2.13 | Three-Dimensional Exploratory Projection Pursuit |
| R-ppcc | 1.2-lp153.2.13 | Probability Plot Correlation Coefficient Test |
| R-PPCI | 0.1.5-lp153.3.7 | Projection Pursuit for Cluster Identification |
| R-ppclust | 1.1.0.1-lp153.1.4 | Probabilistic and Possibilistic Cluster Analysis |
| R-ppcong | 0.0.2-lp153.11.5 | Interfacing with ProPublica\'s \'Congress\' API |
| R-ppcor | 1.1-lp153.2.13 | Partial and Semi-Partial (Part) Correlation |
| R-ppcSpatial | 0.2.0-lp153.8.7 | Spatial Analysis of Pakistan Population Census |
| R-ppdiag | 0.1.1-lp153.1.12 | Diagnosis and Visualizations Tools for Temporal Point Proces |
| R-ppgm | 1.0.3-lp153.2.1 | PaleoPhyloGeographic Modeling of Climate Niches and Species |
| R-ppitables | 0.5.5-lp153.2.2 | Lookup Tables to Generate Poverty Likelihoods and Rates usin |
| R-ppmHR | 1.0-lp153.2.13 | Privacy-Protecting Hazard Ratio Estimation in Distributed Da |
| R-PPMiss | 0.1.1-lp153.1.5 | Copula-Based Estimator for Long-Range Dependent Processes un |
| R-ppmSuite | 0.3.4-lp153.1.5 | A Collection of Models that Employ Product Partition Distrib |
| R-PPQplan | 1.1.0-lp153.30.2 | Process Performance Qualification (PPQ) Plans in Chemistry, |
| R-ppRep | 0.42.3-lp153.1.5 | Analysis of Replication Studies using Power Priors |
| R-pps | 1.0-lp153.1.13 | PPS Sampling |
| R-ppsr | 0.0.5-lp153.1.4 | Predictive Power Score |
| R-PPTcirc | 0.2.3-lp153.4.4 | Projected Polya Tree for Circular Data |
| R-PPtree | 2.3.0-lp153.2.13 | Projection pursuit classification tree |
| R-pqantimalarials | 0.2-lp153.15.2 | web tool for estimating under-five deaths caused by poor-qua |
| R-pql | 0.1.0-lp153.2.2 | A Partitioned Quasi-Likelihood for Distributed Statistical I |
| R-prabclus | 2.3.3-lp153.1.5 | Functions for Clustering and Testing of Presence-Absence, Ab |
| R-prabclus | 2.2_4-2.38 | Functions for presence-absence, abundance and multilocus gen |
| R-prabclus | 2.2_4-lp153.2.23 | Functions for presence-absence, abundance and multilocus gen |
| R-prabclus | 2.2_4-lp155.2.5 | Functions for presence-absence, abundance and multilocus gen |
| R-prabclus | 2.2_4-2.24 | Functions for presence-absence, abundance and multilocus gen |
| R-prabclus | 2.2_4-lp154.2.10 | Functions for presence-absence, abundance and multilocus gen |
| R-pracma | 2.4.4-lp153.1.4 | Practical Numerical Math Functions |
| R-pracpac | 0.2.0-lp153.2.4 | Practical \'R\' Packaging in \'Docker\' |
| R-PracticalEquiDesign | 0.0.3-lp153.9.2 | Design of Practical Equivalence Trials |
| R-pragma | 0.1.3-lp153.2.13 | Provides a pragma / directive / keyword syntax for R. |
| R-prais | 1.1.2-lp153.1.11 | Prais-Winsten Estimator for AR(1) Serial Correlation |
| R-praise | 1.0.0-lp153.4.28 | Build friendly R packages |
| R-praise | 1.0.0-4.30 | Build friendly R packages |
| R-praise | 1.0.0-4.31 | Build friendly R packages |
| R-praise | 1.0.0-lp155.4.5 | Build friendly R packages |
| R-praise | 1.0.0-lp154.4.10 | Build friendly R packages |
| R-praise | 1.0.0-lp153.2.13 | Praise Users |
| R-praktikum | 0.1-lp153.2.13 | Kvantitatiivsete meetodite praktikumi asjad / Functions used |
| R-praznik | 11.0.0-lp153.1.9 | Tools for Information-Based Feature Selection and Scoring |
| R-prc | 2019.1.23-lp153.1.13 | Paired Response Curve |
| R-prcr | 0.2.1-lp153.18.2 | Person-Centered Analysis |
| R-pre | 1.0.7-lp153.2.3 | Prediction Rule Ensembles |
| R-precintcon | 2.3.0-lp153.14.5 | Precipitation Intensity, Concentration and Anomaly Analysis |
| R-precisely | 0.1.2-lp153.11.2 | Estimate Sample Size Based on Precision Rather than Power |
| R-precisePlacement | 0.1.0-lp153.1.12 | Suite of Functions to Help Get Plot Elements Exactly Where Y |
| R-precondition | 0.1.0-lp153.1.5 | Lightweight Precondition, Postcondition, and Sanity Checks |
| R-predfairness | 0.1.0-lp153.1.12 | Discrimination Mitigation for Machine Learning Models |
| R-predhy | 2.1.1-lp153.2.2 | Genomic Prediction of Hybrid Performance |
| R-predict3d | 0.1.4-lp153.1.5 | Draw Three Dimensional Predict Plot Using Package \'rgl\' |
| R-PredictABEL | 1.2.4-lp153.28.2 | Assessment of Risk Prediction Models |
| R-prediction | 0.3.18-lp153.1.2 | Tidy, Type-Safe \'prediction()\' Methods |
| R-PredictiveRegression | 0.1.4-lp153.2.13 | Prediction Intervals for Three Basic Statistical Models |
| R-predictMe | 0.1-lp153.7.2 | Visualize Individual Prediction Performance |
| R-predictNMB | 0.2.1-lp153.2.2 | Evaluate Clinical Prediction Models by Net Monetary Benefit |
| R-predictoR | 2.0.7-lp153.11.7 | Predictive Data Analysis System |
| R-PredictorSelect | 0.1.0-lp153.1.2 | Out-of-Sample Predictability in Predictive Regressions with |
| R-predictrace | 2.0.1-lp153.1.5 | Predict the Race and Gender of a Given Name Using Census and |
| R-predicts | 0.1.11-lp153.1.4 | Spatial Prediction Tools |
| R-predieval | 0.1.1-lp153.19.2 | Assessing Performance of Prediction Models for Predicting Pa |
| R-predmixcor | 1.1.1-lp153.2.13 | Classification rule based on Bayesian mixture models with fe |
| R-predReliability | 0.1.0-lp153.2.13 | Estimates Reliability of Individual Supervised Learning Pred |
| R-predtoolsTS | 0.1.1-lp153.10.3 | Time Series Prediction Tools |
| R-pref | 0.4.0-lp153.1.4 | Preference Voting with Explanatory Graphics |
| R-prefeR | 0.1.3-lp153.1.9 | R Package for Pairwise Preference Elicitation |
| R-preference | 1.1.6-lp153.18.2 | 2-Stage Preference Trial Design and Analysis |
| R-prefio | 0.1.1-lp153.2.2 | Structures for Preference Data |
| R-prefmod | 0.8.36-lp153.1.5 | Utilities to Fit Paired Comparison Models for Preferences |
| R-PreKnitPostHTMLRender | 0.1.0-lp153.23.2 | Pre-Knitting Processing and Post HTML-Rendering Processing |
| R-prenoms | 0.0.1-lp153.6.5 | Names Given to Babies in Quebec Between 1980 and 2020 |
| R-pRepDesigns | 1.2.0-lp153.2.2 | Partially Replicated (p-Rep) Designs |
| R-prepplot | 1.0.1-lp153.1.13 | Prepare Figure Region for Base Graphics |
| R-PreProcess | 3.1.7-lp153.2.13 | Basic Functions for Pre-Processing Microarrays |
| R-PreProcessing | 0.1.0-lp153.7.5 | Various Preprocessing Transformations of Numeric Data Matric |
| R-PreProcessRecordLinkage | 1.0.1-lp153.3.2 | Preprocessing Record Linkage |
| R-PREPShiny | 0.1.0-lp153.29.2 | Interactive Document for Preprocessing the Dataset |
| R-preputils | 1.0.3-lp153.2.13 | Utilities for Preparation of Data Analysis |
| R-prereg | 0.6.0-lp153.14.2 | R Markdown Templates to Preregister Scientific Studies |
| R-preregr | 0.2.9-lp153.1.5 | Specify (Pre)Registrations and Export Them Human- And Machin |
| R-PresenceAbsence | 1.1.11-lp153.1.7 | Presence-Absence Model Evaluation |
| R-presens | 2.1.0-lp153.13.7 | Interface for PreSens Fiber Optic Data |
| R-presentes | 0.1.0-lp153.2.13 | Registry of Victims of State Terrorism in Argentina |
| R-preseqR | 4.0.0-lp153.2.13 | Predicting Species Accumulation Curves |
| R-PResiduals | 1.0.1-lp153.25.2 | Probability-Scale Residuals and Residual Correlations |
| R-presize | 0.3.7-lp153.4.2 | Precision Based Sample Size Calculation |
| R-presmTP | 1.1.0-lp153.3.13 | Methods for Transition Probabilities |
| R-PressPurt | 1.0.2-lp153.17.5 | Indeterminacy of Networks via Press Perturbations |
| R-pressuRe | 0.2.4-lp153.2.2 | Imports, Processes, and Visualizes Biomechanical Pressure Da |
| R-pretest | 0.2-lp153.1.5 | A Novel Approach to Predictive Accuracy Testing in Nested En |
| R-prettifyAddins | 2.6.1-lp153.4.2 | \'RStudio\' Addins to Prettify \'JavaScript\', \'C++\', \'Py |
| R-prettyB | 0.2.2-lp153.1.13 | Pretty Base Graphics |
| R-prettycode | 1.1.0-lp153.2.13 | Pretty Print R Code in the Terminal |
| R-prettydoc | 0.3.0-1.82 | Creating Pretty Documents from R Markdown |
| R-prettydoc | 0.3.0-lp153.1.24 | Creating Pretty Documents from R Markdown |
| R-prettydoc | 0.3.0-1.28 | Creating Pretty Documents from R Markdown |
| R-prettydoc | 0.4.1-lp153.18.2 | Creating Pretty Documents from R Markdown |
| R-prettyGraphs | 2.1.6-lp153.2.13 | Publication-Quality Graphics |
| R-prettymapr | 0.2.5-lp153.1.3 | Scale Bar, North Arrow, and Pretty Margins in R |
| R-prettyR | 2.2.3-lp153.2.13 | Pretty Descriptive Stats |
| R-prettyunits | 1.2.0-lp153.1.5 | Pretty, Human Readable Formatting of Quantities |
| R-prettyunits | 1.0.2-1.29 | Pretty, Human Readable Formatting of Quantities |
| R-prettyunits | 1.0.2-lp155.1.5 | Pretty, Human Readable Formatting of Quantities |
| R-prettyunits | 1.0.2-lp153.1.26 | Pretty, Human Readable Formatting of Quantities |
| R-prettyunits | 1.0.2-lp154.1.10 | Pretty, Human Readable Formatting of Quantities |
| R-prettyunits | 1.0.2-1.41 | Pretty, Human Readable Formatting of Quantities |
| R-prevalence | 0.4.1-lp153.1.9 | Tools for Prevalence Assessment Studies |
| R-prevederer | 0.0.1-lp153.2.12 | Wrapper for the \'Prevedere\' API |
| R-previsionio | 11.7.0-lp153.18.2 | \'Prevision.io\' R SDK |
| R-prevtoinc | 0.12.0-lp153.15.7 | Prevalence to Incidence Calculations for Point-Prevalence St |
| R-pricelevels | 1.3.0-lp153.1.2 | Spatial Price Level Comparisons |
| R-pricesensitivitymeter | 1.3.0-lp153.2.2 | Van Westendorp Price Sensitivity Meter Analysis |
| R-prim | 1.0.21-lp153.2.4 | Patient Rule Induction Method (PRIM) |
| R-primate | 0.2.0-lp153.1.9 | Tools and Methods for Primatological Data Science |
| R-primefactr | 0.1.1-lp153.2.13 | Use Prime Factorization for Computations |
| R-primePCA | 1.2-lp153.1.12 | Projected Refinement for Imputation of Missing Entries in PC |
| R-primer | 1.2.0-lp153.16.2 | Functions and Data for the Book, a Primer of Ecology with R |
| R-primerTree | 1.0.6-lp153.9.2 | Visually Assessing the Specificity and Informativeness of Pr |
| R-PrInDT | 1.0.1-lp153.2.2 | Prediction and Interpretation in Decision Trees for Classifi |
| R-prinsimp | 0.8.8-lp153.2.13 | Finding and plotting simple basis vectors for multivariate d |
| R-printr | 0.3-lp153.2.5 | Automatically Print R Objects to Appropriate Formats Accordi |
| R-prinvars | 1.0.0-lp153.1.7 | Principal Variables |
| R-PriorCD | 0.1.0-lp153.4.11 | Prioritizing Cancer Drugs for Interested Cancer |
| R-PriorGen | 2.0-lp153.1.5 | Generates Prior Distributions for Proportions |
| R-prioritizrdata | 0.3.2-lp153.2.4 | Conservation Planning Datasets |
| R-prioritylasso | 0.3.1-lp153.1.5 | Analyzing Multiple Omics Data with an Offset Approach |
| R-prism | 0.2.1-lp153.2.4 | Access Data from the Oregon State Prism Climate Project |
| R-PRISM.forecast | 0.2.1-lp153.4.7 | Penalized Regression with Inferred Seasonality Module - Fore |
| R-PRISMA | 0.2.7-lp153.14.5 | Protocol Inspection and State Machine Analysis |
| R-prismadiagramR | 1.0.0-lp153.20.2 | Creates a Prisma Diagram using \'DiagrammeR\' |
| R-PRISMAstatement | 1.1.1-lp153.19.2 | Plot Flow Charts According to the \"PRISMA\" Statement |
| R-prismatic | 1.1.2-lp153.2.2 | Color Manipulation Tools |
| R-prisonbrief | 0.1.2-lp153.20.4 | Downloads and Parses World Prison Brief Data |
| R-prithulib | 1.0.2-lp153.2.13 | Perform Random Experiments |
| R-PrivateLR | 1.2.22-lp153.2.13 | Differentially Private Regularized Logistic Regression |
| R-prLogistic | 1.2-lp153.11.11 | Estimation of Prevalence Ratios using Logistic Models |
| R-prnsamplr | 0.3.0-lp153.1.5 | Permanent Random Number Sampling |
| R-pro | 0.1.1-lp153.2.13 | Point-Process Response Model for Optogenetics |
| R-prob | 1.0.1-lp153.2.12 | Elementary Probability on Finite Sample Spaces |
| R-ProbBayes | 1.1-lp153.20.2 | Probability and Bayesian Modeling |
| R-probemod | 0.2.1-lp153.2.13 | Statistical Tools for Probing Moderation Effects |
| R-probFDA | 1.0.1-lp153.2.13 | Probabilistic Fisher Discriminant Analysis |
| R-ProbForecastGOP | 1.3.2-lp153.2.13 | Probabilistic weather forecast using the GOP method |
| R-probhat | 0.4.1-lp153.1.12 | Multivariate Generalized Kernel Smoothing and Related Statis |
| R-ProbMarg | 1.0.1-lp153.2.13 | Computing Logit & Probit Predicted Probabilities & Marginal |
| R-probout | 1.1.2-lp153.1.11 | Unsupervised Multivariate Outlier Probabilities for Large Da |
| R-ProbSamplingI | 2.0-lp153.1.4 | Probabilistic Sampling Design and Strategies |
| R-PROBShiny | 0.1.0-lp153.17.2 | Interactive Document for Working with Basic Probability |
| R-ProbYX | 1.1.0.1-lp153.1.9 | Inference for the Stress-Strength Model R = P(Y |
| R-pROC | 1.7.3-lp153.2.24 | display and analyze ROC curves |
| R-pROC | 1.7.3-2.31 | display and analyze ROC curves |
| R-pROC | 1.7.3-lp154.2.10 | display and analyze ROC curves |
| R-pROC | 1.7.3-2.54 | display and analyze ROC curves |
| R-pROC | 1.7.3-lp155.2.5 | display and analyze ROC curves |
| R-proccalibrad | 0.14-lp153.2.13 | Extraction of Bands from MODIS Calibrated Radiances MOD02 NR |
| R-proceduralnames | 0.2.2-lp153.1.8 | Several Methods for Procedural Name Generation |
| R-processanimateR | 1.0.5-lp153.16.3 | Process Map Token Replay Animation |
| R-processcheckR | 0.1.4-lp153.10.2 | Rule-Based Conformance Checking of Business Process Event Da |
| R-processmonitR | 0.1.0-lp153.23.2 | Building Process Monitoring Dashboards |
| R-processpredictR | 0.1.0-lp153.9.2 | Process Prediction |
| R-processR | 0.2.7-lp153.3.7 | Implementation of the \'PROCESS\' Macro |
| R-processx | 3.4.1-lp155.2.5 | Execute and Control System Processes |
| R-processx | 3.4.1-2.29 | Execute and Control System Processes |
| R-processx | 3.8.4-lp153.2.2 | Execute and Control System Processes |
| R-processx | 3.4.1-lp154.2.10 | Execute and Control System Processes |
| R-processx | 3.4.1-2.35 | Execute and Control System Processes |
| R-processx | 3.4.1-lp153.2.26 | Execute and Control System Processes |
| R-procmaps | 0.0.5-lp153.1.7 | Portable Address Space Mapping |
| R-ProcMod | 1.0.8-lp153.1.12 | Informative Procrustean Matrix Correlation |
| R-procs | 1.0.6-lp153.2.2 | Recreates Some \'SAS®\' Procedures in \'R\' |
| R-ProDenICA | 1.1-lp153.1.11 | Product Density Estimation for ICA using Tilted Gaussian Den |
| R-prodigenr | 0.6.2-lp153.13.2 | Research Project Directory Generator |
| R-prodlim | 1.4.5-lp153.2.25 | Product-limit estimation |
| R-prodlim | 1.4.5-lp155.2.5 | Product-limit estimation |
| R-prodlim | 1.4.5-2.38 | Product-limit estimation |
| R-prodlim | 1.4.5-2.32 | Product-limit estimation |
| R-prodlim | 1.4.5-lp154.2.10 | Product-limit estimation |
| R-productivity | 1.1.0-lp153.3.7 | Indices of Productivity Using Data Envelopment Analysis (DEA |
| R-productplots | 0.1.1-lp153.14.7 | Product Plots for R |
| R-prof.tree | 0.1.0-lp153.4.10 | An Alternative Display Profiling Data as Tree Structure |
| R-ProfessR | 2.4.3-lp153.1.5 | Grades Setting and Exam Maker |
| R-profExtrema | 0.2.1-lp153.5.7 | Compute and Visualize Profile Extrema Functions |
| R-profile | 1.0.3-lp153.2.5 | Read, Manipulate, and Write Profiler Data |
| R-ProfileLikelihood | 1.3-lp153.1.5 | Profile Likelihood for a Parameter in Commonly Used Statisti |
| R-profileModel | 0.5_9-lp153.2.26 | Tools for profiling inference functions for various model cl |
| R-profileModel | 0.5_9-2.38 | Tools for profiling inference functions for various model cl |
| R-profileModel | 0.6.1-lp153.1.13 | Profiling Inference Functions for Various Model Classes |
| R-profileModel | 0.5_9-lp154.2.10 | Tools for profiling inference functions for various model cl |
| R-profileModel | 0.5_9-lp155.2.5 | Tools for profiling inference functions for various model cl |
| R-profileModel | 0.5_9-2.26 | Tools for profiling inference functions for various model cl |
| R-profileR | 0.3.5-lp153.16.7 | Profile Analysis of Multivariate Data in R |
| R-profiplots | 0.2.3-lp153.1.4 | Profinit Plotting Theme |
| R-ProFit | 1.3.3-lp153.3.11 | Fit Projected 2D Profiles to Galaxy Images |
| R-profmem | 0.5.0-lp153.1.24 | Simple Memory Profiling for R |
| R-profmem | 0.6.0-lp153.2.13 | Simple Memory Profiling for R |
| R-profmem | 0.5.0-1.26 | Simple Memory Profiling for R |
| R-profmem | 0.5.0-lp154.1.10 | Simple Memory Profiling for R |
| R-profmem | 0.5.0-1.29 | Simple Memory Profiling for R |
| R-profmem | 0.5.0-lp155.1.5 | Simple Memory Profiling for R |
| R-ProfoundData | 0.2.1-lp153.6.4 | Downloading and Exploring Data from the PROFOUND Database |
| R-profr | 0.3.3-lp153.7.2 | An Alternative Display for Profiling Information |
| R-profrep | 1.0.0-lp153.1.4 | Profile Repeatability |
| R-proftools | 0.99.3-lp153.2.13 | Profile Output Processing Tools for R |
| R-profvis | 0.3.5-1.30 | Interactive Visualizations for Profiling R Code |
| R-profvis | 0.3.5-1.70 | Interactive Visualizations for Profiling R Code |
| R-profvis | 0.3.5-lp153.1.23 | Interactive Visualizations for Profiling R Code |
| R-progenyClust | 1.2-lp153.28.2 | Finding the Optimal Cluster Number Using Progeny Clustering |
| R-prognosticROC | 0.7-lp153.2.13 | Prognostic ROC curves for evaluating the predictive capacity |
| R-progress | 1.2.3-lp153.1.4 | Terminal Progress Bars |
| R-progress | 1.2.2-1.45 | Terminal Progress Bars |
| R-progress | 1.2.2-lp154.1.10 | Terminal Progress Bars |
| R-progress | 1.2.2-1.28 | Terminal Progress Bars |
| R-progress | 1.2.2-lp155.1.5 | Terminal Progress Bars |
| R-progress | 1.2.2-lp153.1.25 | Terminal Progress Bars |
| R-progressr | 0.6.0-lp154.1.10 | A Inclusive, Unifying API for Progress Updates |
| R-progressr | 0.6.0-lp153.1.23 | A Inclusive, Unifying API for Progress Updates |
| R-progressr | 0.6.0-1.25 | A Inclusive, Unifying API for Progress Updates |
| R-progressr | 0.14.0-lp153.1.5 | An Inclusive, Unifying API for Progress Updates |
| R-progressr | 0.6.0-lp155.1.5 | A Inclusive, Unifying API for Progress Updates |
| R-progressr | 0.6.0-1.26 | A Inclusive, Unifying API for Progress Updates |
| R-PROJ | 0.5.0-lp153.1.2 | Generic Coordinate System Transformations Using \'PROJ\' |
| R-projections | 0.6.0-lp153.1.5 | Project Future Case Incidence |
| R-ProjectManagement | 1.5.2-lp153.7.2 | Management of Deterministic and Stochastic Projects |
| R-projects | 2.1.3-lp153.14.2 | A Project Infrastructure for Researchers |
| R-projmgr | 0.1.1-lp153.3.2 | Task Tracking and Project Management with GitHub |
| R-ProliferativeIndex | 1.0.1-lp153.2.13 | Calculates and Analyzes the Proliferative Index |
| R-prolific.api | 0.5.2-lp153.1.5 | A User-Friendly Interface for Accessing the Prolific API |
| R-prolsirm | 0.1.0-lp153.1.5 | Procrustes Matching for Latent Space Item Response Model |
| R-PROMETHEE | 1.1-lp153.2.13 | Preference Ranking Organization METHod for Enrichment of Eva |
| R-promethee123 | 0.1.0-lp153.12.5 | PROMETHEE I, II, and III Methods |
| R-PrometheeTools | 0.1.0-lp153.1.5 | PROMETHEE and GLNF for Ranking and Sorting Problems |
| R-promises | 1.1.0-10.20 | Abstractions for Promise-Based Asynchronous Programming |
| R-promises | 1.1.0-lp153.10.14 | Abstractions for Promise-Based Asynchronous Programming |
| R-promises | 1.1.0-10.42 | Abstractions for Promise-Based Asynchronous Programming |
| R-promote | 1.1.1-lp153.7.2 | Client for the \'Alteryx Promote\' API |
| R-prompt | 1.0.2-lp153.1.5 | Dynamic \'R\' Prompt |
| R-prompter | 1.2.0-lp153.2.2 | Add Tooltips in \'Shiny\' Apps with \'Hint.css\' |
| R-promr | 0.1.3-lp153.3.7 | Prometheus \'PromQL\' Query Client for \'R\' |
| R-prop.comb.RR | 1.2-lp153.2.13 | Analyzing Combination of Proportions and Relative Risk |
| R-PropCIs | 0.3.0-lp153.2.13 | Various Confidence Interval Methods for Proportions |
| R-PropClust | 1.4.7-lp153.1.5 | Propensity Clustering and Decomposition |
| R-PropensitySub | 0.2.0-lp153.5.11 | Treatment Effect Estimate in Strata with Missing Data |
| R-properties | 0.0.9-lp153.2.13 | Parse \'Java\' Properties Files for \'R Service Bus\' Applic |
| R-proportion | 2.0.0-lp153.9.11 | Inference on Single Binomial Proportion and Bayesian Computa |
| R-proporz | 1.5.0-lp153.2.2 | Proportional Apportionment |
| R-PropScrRand | 1.1.2-lp153.2.2 | Propensity Score Methods for Assigning Treatment in Randomiz |
| R-proPubBills | 0.1-lp153.17.2 | \'ProPublica\' U.S. Congress Bills API Wrapper |
| R-ProPublicaR | 1.1.4-lp153.2.2 | Access Functions for ProPublica\'s APIs |
| R-PROscorer | 0.0.4-lp153.1.5 | Functions to Score Commonly-Used Patient-Reported Outcome (P |
| R-PROscorerTools | 0.0.4-lp153.1.5 | Tools to Score Patient-Reported Outcome (PRO) and Other Psyc |
| R-ProSGPV | 1.0.0-lp153.4.7 | Penalized Regression with Second-Generation P-Values |
| R-PROSPER | 0.3.3-lp153.2.13 | Simulation of Weed Population Dynamics |
| R-protag | 1.0.0-lp153.16.7 | Search Tagged Peptides & Draw Highlighted Mass Spectra |
| R-protein8k | 0.0.1-lp153.13.2 | Perform Analysis and Create Visualizations of Proteins |
| R-ProteinDescriptors | 0.1.0-lp153.2.13 | Generates Various Protein Descriptors for Machine Learning A |
| R-ProteoBayes | 1.0.0-lp153.2.2 | Bayesian Statistical Tools for Quantitative Proteomics |
| R-proteomicdesign | 2.0-lp153.2.13 | Optimization of a multi-stage proteomic study |
| R-proteomics | 0.2-lp153.9.11 | Statistical Analysis of High Throughput Proteomics Data |
| R-ProtGenerics | 1.10.0-1.26 | S4 generic functions for Bioconductor proteomics infrastruct |
| R-ProtGenerics | 1.10.0-lp153.1.25 | S4 generic functions for Bioconductor proteomics infrastruct |
| R-ProtGenerics | 1.10.0-lp155.1.5 | S4 generic functions for Bioconductor proteomics infrastruct |
| R-ProtGenerics | 1.10.0-1.38 | S4 generic functions for Bioconductor proteomics infrastruct |
| R-ProtGenerics | 1.10.0-lp154.1.10 | S4 generic functions for Bioconductor proteomics infrastruct |
| R-protHMM | 0.1.1-lp153.1.5 | Protein Feature Extraction from Profile Hidden Markov Models |
| R-proto | 0.3_10-lp154.1.10 | Prototype object-based programming |
| R-proto | 0.3_10-1.38 | Prototype object-based programming |
| R-proto | 1.0.0-lp153.2.13 | Prototype object-based programming |
| R-proto | 0.3_10-lp155.1.5 | Prototype object-based programming |
| R-proto | 0.3_10-lp153.1.25 | Prototype object-based programming |
| R-proto | 0.3_10-1.28 | Prototype object-based programming |
| R-protoclass | 1.0-lp153.2.13 | Interpretable classification with prototypes |
| R-protoclust | 1.6.4-lp153.1.10 | Hierarchical Clustering with Prototypes |
| R-PROTOLIDAR | 0.1-lp153.2.13 | PRocess TOol LIdar DAta in R |
| R-proton | 1.0-lp153.2.13 | The Proton Game |
| R-protoshiny | 0.1.0-lp153.12.2 | Interactive Dendrograms for Visualizing Hierarchical Cluster |
| R-ProTrackR | 0.4.3-lp153.1.4 | Manipulate and Play \'ProTracker\' Modules |
| R-proustr | 0.4.0-lp153.17.2 | Tools for Natural Language Processing in French |
| R-provDebugR | 1.0.1-lp153.6.4 | A Time-Travelling Debugger |
| R-provenance | 4.3-lp153.2.2 | Statistical Toolbox for Sedimentary Provenance Analysis |
| R-proverbs | 0.4.0-lp153.2.4 | Print a Daily Bible Proverb to Console |
| R-provExplainR | 1.1.1-lp153.6.2 | Compare Provenance Collections to Explain Changed Script Out |
| R-provGraphR | 1.0.1-lp153.5.4 | Creates Adjacency Matrices for Lineage Searches |
| R-provParseR | 1.0-lp153.1.8 | Pulls Information from Prov.Json Files |
| R-provSummarizeR | 1.5.1-lp153.1.8 | Summarizes Provenance Related to Inputs and Outputs of a Scr |
| R-provTraceR | 1.0-lp153.2.13 | Uses Provenance to Trace File Lineage for One or more R Scri |
| R-provViz | 1.0.9-lp153.1.8 | Provenance Visualizer |
| R-proxirr | 0.4-lp153.1.4 | Alpha and Beta Proximity to Irreplaceability |
| R-proxy | 0.4.27-lp153.1.9 | Distance and Similarity Measures |
| R-prozor | 0.3.1-lp153.9.2 | Minimal Protein Set Explaining Peptide Spectrum Matches |
| R-PRP | 0.1.1-lp153.1.11 | Bayesian Prior and Posterior Predictive Replication Assessme |
| R-prrd | 0.0.6-lp153.2.2 | Parallel Runs of Reverse Depends |
| R-PRROC | 1.3.1-lp153.2.13 | Precision-Recall and ROC Curves for Weighted and Unweighted |
| R-PRSim | 1.5-lp153.2.2 | Stochastic Simulation of Streamflow Time Series using Phase |
| R-pRSR | 3.1.1-lp153.2.13 | Test of Periodicity using Response Surface Regression |
| R-prt | 0.2.0-lp153.1.5 | Tabular Data Backed by Partitioned \'fst\' Files |
| R-prWarp | 1.0.0-lp153.19.5 | Warping Landmark Configurations |
| R-ps | 1.2.0-5.36 | List, Query, Manipulate System Processes |
| R-ps | 1.2.0-lp154.5.10 | List, Query, Manipulate System Processes |
| R-ps | 1.2.0-lp155.5.5 | List, Query, Manipulate System Processes |
| R-ps | 1.2.0-lp153.5.28 | List, Query, Manipulate System Processes |
| R-ps | 1.2.0-5.27 | List, Query, Manipulate System Processes |
| R-PSAgraphics | 2.1.3-lp153.2.2 | Propensity Score Analysis Graphics |
| R-PSAWR | 0.1.0-lp153.1.5 | \'Pushshift\' API Wrapper for \'Reddit\' Submission and Comm |
| R-psborrow | 0.2.1-lp153.2.5 | Bayesian Dynamic Borrowing with Propensity Score |
| R-psborrow2 | 0.0.3.4-lp153.2.2 | Bayesian Dynamic Borrowing Analysis and Simulation |
| R-pscl | 1.5.9-lp153.1.4 | Political Science Computational Laboratory |
| R-PScr | 1.1-lp153.1.5 | Estimation for the Power Series Cure Rate Model |
| R-psda | 1.4.0-lp153.13.7 | Polygonal Symbolic Data Analysis |
| R-PSDistr | 0.0.1-lp153.1.5 | Distributions Derived from Normal Distribution |
| R-pse | 0.4.7-lp153.10.11 | Parameter Space Exploration with Latin Hypercubes |
| R-pseval | 1.3.1-lp153.2.13 | Methods for Evaluating Principal Surrogates of Treatment Res |
| R-PSF | 0.5-lp153.1.9 | Forecasting of Univariate Time Series Using the Pattern Sequ |
| R-PSGoft | 0.0.1-lp153.1.5 | Modified Lilliefors Goodness-of-Fit Normality Test |
| R-psica | 1.0.2-lp153.3.12 | Decision Tree Analysis for Probabilistic Subgroup Identifica |
| R-psidR | 2.2-lp153.1.2 | Build Panel Data Sets from PSID Raw Data |
| R-psidread | 1.0.3-lp153.3.2 | Streamline Building Panel Data from Panel Study of Income Dy |
| R-PSIMEX | 1.1-lp153.5.10 | SIMEX Algorithm on Pedigree Structures |
| R-PSIndependenceTest | 0.0.1-lp153.1.5 | Independence Tests for Two-Way, Three-Way and Four-Way Conti |
| R-PSLM2015 | 0.2.0-lp153.16.7 | Pakistan Social and Living Standards Measurement Survey 2014 |
| R-psmineR | 0.1.0-lp153.8.2 | Performance Spectrum Miner for Event Data |
| R-pso | 1.0.4-lp153.1.10 | Particle Swarm Optimization |
| R-psoptim | 1.0-lp153.2.13 | Particle Swarm Optimization |
| R-pspatreg | 1.1.2-lp153.1.2 | Spatial and Spatio-Temporal Semiparametric Regression Models |
| R-pspearman | 0.3.1-lp153.1.9 | Spearman\'s Rank Correlation Test |
| R-pspline | 1.0.20-lp153.2.2 | Penalized Smoothing Splines |
| R-pspline.inference | 1.0.4-lp153.12.7 | Estimation of Characteristics of Seasonal and Sporadic Infec |
| R-PSPManalysis | 0.3.9-lp153.3.4 | Analysis of Physiologically Structured Population Models |
| R-PSPManalysis-devel | 0.3.9-lp153.3.4 | Development files for PSPManalysis |
| R-psr | 0.1.0-lp153.9.7 | Functions for Analyzing Performance Science Data |
| R-PSSIM | 0.1.0-lp153.2.13 | Test of Independence & Image Structural Similarity Measure P |
| R-pssm | 1.1-lp153.2.13 | Piecewise Exponential Model for Time to Progression and Time |
| R-PSSMCOOL | 0.2.4-lp153.1.11 | Features Extracted from Position Specific Scoring Matrix (PS |
| R-PST | 0.94.1-lp153.1.4 | Probabilistic Suffix Trees and Variable Length Markov Chains |
| R-Pstat | 1.2-lp153.2.13 | Assessing Pst Statistics |
| R-pstest | 0.1.3.900-lp153.2.13 | Specification Tests for Parametric Propensity Score Models |
| R-PsumtSim | 0.4-lp153.2.13 | Simulations of grouped responses relative to baseline. |
| R-PSW | 1.1.3-lp153.28.2 | Propensity Score Weighting Methods for Dichotomous Treatment |
| R-psy | 1.2-lp153.1.9 | Various Procedures Used in Psychometrics |
| R-psycCleaning | 0.1.1-lp153.2.2 | Data Cleaning for Psychological Analyses |
| R-psych | 1.4.8.11-lp155.1.5 | Procedures for Psychological, Psychometric, and Personality |
| R-psych | 1.4.8.11-1.38 | Procedures for Psychological, Psychometric, and Personality |
| R-psych | 1.4.8.11-lp154.1.10 | Procedures for Psychological, Psychometric, and Personality |
| R-psych | 1.4.8.11-lp153.1.24 | Procedures for Psychological, Psychometric, and Personality |
| R-psych | 1.4.8.11-1.26 | Procedures for Psychological, Psychometric, and Personality |
| R-psychmetadata | 1.0.0-lp153.1.12 | Open Datasets from Meta-Analyses in Psychology Research |
| R-psycho | 0.6.1-lp153.18.2 | Efficient and Publishing-Oriented Workflow for Psychological |
| R-psychometric | 2.4-lp153.1.4 | Applied Psychometric Theory |
| R-psychotools | 0.7.4-lp153.2.2 | Psychometric Modeling Infrastructure |
| R-psychotree | 0.16.1-lp153.2.2 | Recursive Partitioning Based on Psychometric Models |
| R-PsychWordVec | 0.3.0-lp153.1.7 | Word Embedding Research Framework for Psychological Science |
| R-psymetadata | 1.0.1-lp153.1.10 | Open Datasets from Meta-Analyses in Psychology Research |
| R-psymonitor | 0.0.2-lp153.2.13 | Real Time Monitoring of Asset Markets: Bubbles and Crisis |
| R-psyosphere | 0.1.6-lp153.8.12 | Analyse GPS Data |
| R-psyphy | 0.3-lp153.1.5 | Functions for analyzing psychophysical data in R |
| R-psyverse | 0.2.6-lp153.1.5 | Decentralized Unequivocality in Psychological Science |
| R-PTAk | 2.0.0-lp153.1.5 | Principal Tensor Analysis on k modes |
| R-PTE | 1.7-lp153.2.13 | Personalized Treatment Evaluator |
| R-PTERP | 1.0-lp153.1.8 | PTE and RP for Optimally-Transformed Surrogate |
| R-pterrace | 1.0-lp153.3.13 | Persistence Terrace for Topological Data Analysis |
| R-ptest | 1.0.8-lp153.4.11 | Periodicity Tests in Short Time Series |
| R-ptinpoly | 2.8-lp153.2.13 | Point-in-Polyhedron Test (2D and 3D) |
| R-pTITAN2 | 1.0.2-lp153.1.11 | Permutations of Treatment Labels and TITAN2 Analysis |
| R-ptools | 2.0.0-lp153.6.4 | Tools for Poisson Data |
| R-PtProcess | 3.3.16-lp153.1.13 | Time Dependent Point Process Modelling |
| R-ptspotter | 1.0.2-lp153.2.2 | Helper Functions for Use with \"ProjectTemplate\" |
| R-PTSR | 0.1.2-lp153.2.7 | Positive Time Series Regression |
| R-pttstability | 1.4-lp153.1.4 | Particle-Takens Stability |
| R-ptvapi | 2.0.5-lp153.1.4 | Access the \'Public Transport Victoria\' Timetable API |
| R-ptw | 1.9.16-lp153.2.7 | Parametric Time Warping |
| R-ptwikiwords | 0.0.3-lp153.2.13 | Words Used in Portuguese Wikipedia |
| R-PTwins | 0.1.1-lp153.2.13 | Percentile Estimation of Fetal Weight for Twins by Chorionic |
| R-PTXQC | 1.0.14-lp153.6.7 | Quality Report Generation for MaxQuant and mzTab Results |
| R-ptycho | 1.1.4-lp153.6.2 | Bayesian Variable Selection with Hierarchical Priors |
| R-PubBias | 1.0-lp153.2.13 | Performs simulation study to look for publication bias, usin |
| R-pubchunks | 0.3.0-lp153.15.7 | Fetch Sections of XML Scholarly Articles |
| R-public.ctn0094data | 1.0.6-lp153.1.5 | De-Identified Data from CTN-0094 |
| R-public.ctn0094extra | 1.0.4-lp153.2.2 | Helper Files for the CTN-0094 Relational Database |
| R-PublicationBias | 2.4.0-lp153.1.5 | Sensitivity Analysis for Publication Bias in Meta-Analyses |
| R-PublicWorksFinanceIT | 0.2.0-lp153.3.2 | Soil Defense Investments in Italy: Data Retrieval, Analysis, |
| R-Publish | 2023.01.17-lp153.4.2 | Format Output of Various Routines in a Suitable Way for Repo |
| R-PubMedMining | 1.0.0-lp153.7.2 | Text-Mining of the \'PubMed\' Repository |
| R-pubmedR | 0.0.3-lp153.3.12 | Gathering Metadata About Publications, Grants, Clinical Tria |
| R-pubmedtk | 1.0.4-lp153.2.2 | \'Pubmed\' Toolkit |
| R-PubMedWordcloud | 0.3.6-lp153.7.2 | \'Pubmed\' Word Clouds |
| R-pubtatordb | 0.1.4-lp153.14.5 | Create and Query a Local \'PubTator\' Database |
| R-pullword | 0.3-lp153.2.8 | R Interface to Pullword Service |
| R-puls | 0.1.2-lp153.18.4 | Partitioning Using Local Subregions |
| R-pulsar | 0.3.11-lp153.1.5 | Parallel Utilities for Lambda Selection along a Regularizati |
| R-pumilioR | 1.3.1-lp153.4.8 | Pumilio in R |
| R-PUPAIM | 0.3.1-lp153.6.5 | A Collection of Physical and Chemical Adsorption Isotherm Mo |
| R-PUPAK | 0.1.1-lp153.6.5 | Parameter Estimation, and Plot Visualization of Adsorption K |
| R-PupillometryR | 0.0.5-lp153.2.4 | A Unified Pipeline for Pupillometry Data |
| R-PupilPre | 0.6.2-lp153.21.2 | Preprocessing Pupil Size Data |
| R-PUPMSI | 0.1.0-lp153.6.5 | Moisture Sorption Isotherm Modeling Program |
| R-PurBayes | 1.3-lp153.2.12 | Bayesian Estimation of Tumor Purity and Clonality |
| R-puremoe | 1.0.1-lp153.2.2 | Pubmed Unified REtrieval for Multi-Output Exploration |
| R-purge | 0.2.1-lp153.2.13 | Purge Training Data from Models |
| R-purging | 1.0.0-lp153.2.13 | Simple Method for Purging Mediation Effects among Independen |
| R-purrr | 0.3.4-lp153.1.26 | Functional Programming Tools |
| R-purrr | 0.3.4-1.35 | Functional Programming Tools |
| R-purrr | 1.0.2-lp153.1.5 | Functional Programming Tools |
| R-purrr | 0.3.4-lp154.1.10 | Functional Programming Tools |
| R-purrr | 0.3.4-lp155.1.5 | Functional Programming Tools |
| R-purrr | 0.3.4-1.29 | Functional Programming Tools |
| R-pushbar | 0.1.0-lp153.13.2 | Create Sliders for \'Shiny\' |
| R-pushoverr | 1.1.0-lp153.3.5 | Send Push Notifications using \'Pushover\' |
| R-pvaluefunctions | 1.6.2-lp153.7.5 | Creates and Plots P-Value Functions, S-Value Functions, Conf |
| R-pvclass | 1.4-lp153.2.13 | P-Values for Classification |
| R-pvclust | 2.2.0-lp153.2.13 | Hierarchical Clustering with P-Values via Multiscale Bootstr |
| R-pvcurveanalysis | 1.0.0-lp153.7.5 | Analysis of Pressure Volume Curves |
| R-pvda | 0.0.3-lp153.2.2 | Disproportionality Functions for Pharmacovigilance |
| R-pvldcurve | 1.2.6-lp153.14.5 | Simplifies the Analysis of Pressure Volume and Leaf Drying C |
| R-pvLRT | 0.5.1-lp153.5.2 | Likelihood Ratio Test-Based Approaches to Pharmacovigilance |
| R-PVR | 0.3-lp153.4.7 | Phylogenetic Eigenvectors Regression and Phylogentic Signal- |
| R-pvsR | 0.3-lp153.3.12 | An R package to interact with the Project Vote Smart API for |
| R-PWEALL | 1.3.0.1-lp153.1.5 | Design and Monitoring of Survival Trials Accounting for Comp |
| R-PWEXP | 0.5.0-lp153.2.2 | Piecewise Exponential Distribution Prediction Model |
| R-PWIR | 0.0.3-lp153.9.2 | Provides a Function to Calculate Prize Winner Indices Based |
| R-pwr | 1.3.0-lp153.2.13 | Basic Functions for Power Analysis |
| R-pwr | 1.3.0-lp154.1.10 | Basic Functions for Power Analysis |
| R-pwr | 1.3.0-1.25 | Basic Functions for Power Analysis |
| R-pwr | 1.3.0-lp153.1.23 | Basic Functions for Power Analysis |
| R-pwr | 1.3.0-lp155.1.5 | Basic Functions for Power Analysis |
| R-pwr | 1.3.0-1.24 | Basic Functions for Power Analysis |
| R-pwr2 | 1.0-lp153.2.13 | Power and Sample Size Analysis for One-way and Two-way ANOVA |
| R-pwrAB | 0.1.0-lp153.2.13 | Power Analysis for AB Testing |
| R-pwrFDR | 2.8.9-lp153.1.12 | FDR Power |
| R-pwrRasch | 0.1.2-lp153.2.13 | Statistical Power Simulation for Testing the Rasch Model |
| R-pwrss | 0.3.1-lp153.1.5 | Statistical Power and Sample Size Calculation Tools |
| R-pwt | 7.1.1-lp153.2.13 | Penn World Table (Versions 5.6, 6.x, 7.x) |
| R-pwt10 | 10.01.0-lp153.1.5 | Penn World Table (Version 10.x) |
| R-pwt8 | 8.1.1-lp153.2.13 | Penn World Table (Version 8.x) |
| R-pwt9 | 9.1.0-lp153.2.13 | Penn World Table (Version 9.x) |
| R-pxR | 0.42.7-lp153.4.2 | PC-Axis with R |
| R-pxweb | 0.17.0-lp153.1.4 | R Interface to PXWEB APIs |
| R-PxWebApiData | 0.9.0-lp153.1.4 | PX-Web Data by API |
| R-pyinit | 1.1.3-lp153.1.9 | Pena-Yohai Initial Estimator for Robust S-Regression |
| R-pylintR | 0.1.0-lp153.13.2 | Lint \'Python\' Files with a R Command or a \'RStudio\' Addi |
| R-pyMTurkR | 1.1.6-lp153.2.2 | A Client for the \'MTurk\' Requester API |
| R-pyramid | 1.5-lp153.2.13 | Draw Population Pyramid |
| R-pysd2r | 0.1.0-lp153.17.5 | API to \'Python\' Library \'pysd\' |
| R-pzfx | 0.3.0-lp153.3.4 | Read and Write \'GraphPad Prism\' Files |
| R-Q2q | 0.1.0-lp153.2.13 | Interpolating Age-Specific Mortality Rates at All Ages |
| R-Q7 | 0.1.0-lp153.4.13 | Types and Features for Object Oriented Programming |
| R-QAIG | 0.1.7-lp153.7.2 | Automatic Item Generator for Quantitative Multiple-Choice It |
| R-qap | 0.1.1-1.34 | Heuristics for the Quadratic Assignment Problem (QAP) |
| R-qap | 0.1.1-lp155.1.5 | Heuristics for the Quadratic Assignment Problem (QAP) |
| R-qap | 0.1.1-lp153.1.26 | Heuristics for the Quadratic Assignment Problem (QAP) |
| R-qap | 0.1.2-lp153.1.8 | Heuristics for the Quadratic Assignment Problem (QAP) |
| R-qap | 0.1.1-lp154.1.10 | Heuristics for the Quadratic Assignment Problem (QAP) |
| R-qap | 0.1.1-1.24 | Heuristics for the Quadratic Assignment Problem (QAP) |
| R-Qapprox | 0.2.0-lp153.1.12 | Approximation to the Survival Functions of Quadratic Forms o |
| R-Qardl | 0.1.1-lp153.2.7 | Quantile Autoregressive Distributed Lag Model |
| R-qat | 0.74-lp153.7.5 | Quality Assurance Toolkit |
| R-QBAsyDist | 0.1.2-lp153.4.11 | Asymmetric Distributions and Quantile Estimation |
| R-QBMS | 1.0.0-lp153.2.2 | Query the Breeding Management System(s) |
| R-qboxplot | 0.2-lp153.2.13 | Quantile-Based Boxplot |
| R-QCA | 3.22-lp153.3.2 | Qualitative Comparative Analysis |
| R-QCAcluster | 0.1.0-lp153.13.2 | Tools for the Analysis of Clustered Data in QCA |
| R-QCAfalsePositive | 1.1.1-lp153.2.13 | Tests for Type I Error in Qualitative Comparative Analysis ( |
| R-QCApro | 1.1.2-lp153.2.13 | Advanced Functionality for Performing and Evaluating Qualita |
| R-QCAtools | 0.2.3-lp153.21.2 | Helper Functions for QCA in R |
| R-qcauchyreg | 1.0-lp153.1.5 | Quantile Regression Quasi-Cauchy |
| R-qcc | 2.7-lp153.2.13 | Quality Control Charts |
| R-qcc | 2.6-1.26 | Quality Control Charts |
| R-qcc | 2.6-lp153.1.24 | Quality Control Charts |
| R-qcc | 2.6-lp154.1.10 | Quality Control Charts |
| R-qcc | 2.6-1.38 | Quality Control Charts |
| R-qcc | 2.6-lp155.1.5 | Quality Control Charts |
| R-qccrs | 0.1.0-lp153.15.7 | Quality Control Charts under Repetitive Sampling |
| R-QCEWAS | 1.2.3-lp153.1.7 | Fast and Easy Quality Control of EWAS Results Files |
| R-QCGWAS | 1.0.9-lp153.1.9 | Quality Control of Genome Wide Association Study Results |
| R-qch | 1.0.0-lp153.4.4 | Query Composed Hypotheses |
| R-qcQpcr | 1.5-lp153.14.5 | Histone ChIP-Seq qPCR Analyzer |
| R-qcr | 1.4-lp153.8.4 | Quality Control Review |
| R-QCSimulator | 0.0.1-lp153.14.5 | A 5-Qubit Quantum Computing Simulator |
| R-QCSIS | 0.1-lp153.2.13 | Sure Independence Screening via Quantile Correlation and Com |
| R-qcv | 1.0-lp153.2.12 | Quantifying Construct Validity |
| R-qdapDictionaries | 1.0.7-lp153.2.13 | Dictionaries and Word Lists for the \'qdap\' Package |
| R-qdapRegex | 0.7.8-lp153.2.2 | Regular Expression Removal, Extraction, and Replacement Tool |
| R-qdapTools | 1.3.7-lp153.1.5 | Tools for the \'qdap\' Package |
| R-QDComparison | 3.0-lp153.2.13 | Modern Nonparametric Tools for Two-Sample Quantile and Distr |
| R-QDiabetes | 1.0.2-lp153.1.13 | Type 2 Diabetes Risk Calculator |
| R-qdm | 0.1.0-lp153.2.13 | Fitting a Quadrilateral Dissimilarity Model to Same-Differen |
| R-Qest | 1.0.1-lp153.4.2 | Quantile-Based Estimator |
| R-qfa | 2.1-lp153.2.5 | Quantile-Frequency Analysis (QFA) of Time Series |
| R-QFASA | 1.0.3-lp153.2.13 | Quantitative Fatty Acid Signature Analysis |
| R-qfasar | 1.2.1-lp153.2.13 | Quantitative Fatty Acid Signature Analysis in R |
| R-QFRM | 1.0.1-lp153.2.13 | Pricing of Vanilla and Exotic Option Contracts |
| R-QGA | 1.0-lp153.2.2 | Quantum Genetic Algorithm |
| R-qgam | 1.3.4-lp153.8.2 | Smooth Additive Quantile Regression Models |
| R-QGameTheory | 0.1.2-lp153.12.7 | Quantum Game Theory Simulator |
| R-QGglmm | 0.7.3-1.24 | Estimate Quantitative Genetics Parameters from Generalised L |
| R-QGglmm | 0.7.3-1.37 | Estimate Quantitative Genetics Parameters from Generalised L |
| R-QGglmm | 0.7.3-lp153.1.23 | Estimate Quantitative Genetics Parameters from Generalised L |
| R-QGglmm | 0.7.3-lp155.1.5 | Estimate Quantitative Genetics Parameters from Generalised L |
| R-QGglmm | 0.7.3-lp154.1.10 | Estimate Quantitative Genetics Parameters from Generalised L |
| R-QGglmm | 0.7.4-lp153.3.7 | Estimate Quantitative Genetics Parameters from Generalised L |
| R-qgraph | 1.3.3-2.29 | Network representations of relationships in data |
| R-qgraph | 1.3.3-2.86 | Network representations of relationships in data |
| R-qgraph | 1.3.3-lp153.2.23 | Network representations of relationships in data |
| R-qgshiny | 0.1.0-lp153.19.2 | A \'shiny\' Application for Active Learning Instruction in I |
| R-qgtools | 2.0-lp153.2.13 | Generalized Quantitative Genetics Data Analyses |
| R-qha | 0.0.8-lp153.34.4 | Qualitative Harmonic Analysis |
| R-QHOT | 0.1.0-lp153.2.13 | QTL Hotspot Detection |
| R-QHScrnomo | 3.0.1-lp153.2.2 | Construct Nomograms for Competing Risks Regression Models |
| R-QI | 0.1.0-lp153.6.5 | Quantity-Intensity Relationship of Soil Potassium |
| R-qicharts | 0.5.8-lp153.7.7 | Quality Improvement Charts |
| R-qicharts2 | 0.7.5-lp153.2.2 | Quality Improvement Charts |
| R-qif | 1.5-lp153.2.13 | Quadratic Inference Function |
| R-qiitr | 0.1.1-lp153.5.7 | R Interface to Qiita API |
| R-Qindex.data | 0.1.1-lp153.2.2 | Data for Package \'Qindex\' |
| R-qkerntool | 1.19-lp153.2.13 | Q-Kernel-Based and Conditionally Negative Definite Kernel-Ba |
| R-QKPIs | 1.0-lp153.1.13 | Quantitative Key Performance Indicators |
| R-qlcData | 0.3-lp154.2.1 | Processing Data for Quantitative Language Comparison |
| R-qlcData | 0.3-lp153.2.1 | Processing Data for Quantitative Language Comparison |
| R-qlcData | 0.3-lp155.2.1 | Processing Data for Quantitative Language Comparison |
| R-qlcMatrix | 0.9.8-lp153.2.2 | Utility Sparse Matrix Functions for Quantitative Language Co |
| R-qlcVisualize | 0.2.1-lp153.1.2 | Visualization for Quantitative Language Comparison |
| R-qLearn | 1.0-lp153.2.13 | Estimation and inference for Q-learning |
| R-QLearning | 0.1.1-lp153.2.13 | Reinforcement Learning using the Q Learning Algorithm |
| R-qMRI | 1.2.7.6-lp153.2.2 | Methods for Quantitative Magnetic Resonance Imaging (\'qMRI\ |
| R-qmrparser | 0.1.6-lp153.1.9 | Parser Combinator in R |
| R-qmvs | 0.2.0-lp153.1.5 | Queueing Model of Visual Search |
| R-qoi | 0.1.0-lp153.2.2 | Read and Write QOI Images |
| R-QoLMiss | 0.1.0-lp153.7.7 | Scales Score Calculation from Quality of Life Data |
| R-qoma.smuggler | 0.0.1-lp153.6.13 | Transport Data and Commands Across the \'FAME\' / \'R\' Bord |
| R-qpcR | 1.4.1-lp153.17.5 | Modelling and Analysis of Real-Time PCR Data |
| R-QPmin | 0.5.1-lp153.1.13 | Linearly Constrained Indefinite Quadratic Program Solver |
| R-qpNCA | 1.1.6-lp153.12.2 | Noncompartmental Pharmacokinetic Analysis by qPharmetra |
| R-qqboxplot | 0.3.0-lp153.2.5 | Implementation of the Q-Q Boxplot |
| R-qqman | 0.1.9-lp153.1.5 | Q-Q and Manhattan Plots for GWAS Data |
| R-QQperm | 1.0.1-lp153.2.13 | Permutation Based QQ Plot and Inflation Factor Estimation |
| R-qqplotr | 0.0.6-lp153.4.2 | Quantile-Quantile Plot Extensions for \'ggplot2\' |
| R-qqr | 0.0.1-lp153.18.10 | Data from Brazilian Soccer Championship |
| R-qqtest | 1.2.0-lp153.2.13 | Self Calibrating Quantile-Quantile Plots for Visual Testing |
| R-qqvases | 1.0.0-lp153.13.2 | Animated Normal Quantile-Quantile Plots |
| R-QR | 0.1.3-lp153.1.8 | QR Factorization without Pivoting |
| R-QRAGadget | 0.3.0-lp153.8.2 | A \'Shiny\' Gadget for Interactive \'QRA\' Visualizations |
| R-qrage | 1.0-lp153.9.5 | Tools that Create D3 JavaScript Force Directed Graph from R |
| R-QRank | 1.0-lp153.4.11 | A Novel Quantile Regression Approach for eQTL Discovery |
| R-qrcm | 3.1-lp153.4.2 | Quantile Regression Coefficients Modeling |
| R-qrcmNP | 0.2.1-lp153.5.2 | Nonlinear and Penalized Quantile Regression Coefficients Mod |
| R-QregBB | 1.0.0-lp153.1.9 | Block Bootstrap Methods for Quantile Regression in Time Seri |
| R-QRegVCM | 1.2-lp153.5.11 | Quantile Regression in Varying-Coefficient Models |
| R-qreport | 1.0.1-lp153.2.2 | Statistical Reporting with \'Quarto\' |
| R-QRIpkg | 0.2.2-lp153.10.5 | Quantile Regression Index Score |
| R-QRISK3 | 0.6.0-lp153.1.5 | 10-Year Cardiovascular Disease Risk Calculator (QRISK3 2017) |
| R-qrjoint | 2.0.9-lp153.1.5 | Joint Estimation in Linear Quantile Regression |
| R-qrlabelr | 0.2.0-lp153.4.2 | Generate Machine- And Human-Readable Plot Labels for Experim |
| R-qrmdata | 2024.03.04.2-lp153.2.2 | Data Sets for Quantitative Risk Management Practice |
| R-qrmix | 0.9.0-lp153.4.11 | Quantile Regression Mixture Models |
| R-qrng | 0.0.10-lp153.2.2 | (Randomized) Quasi-Random Number Generators |
| R-qrnn | 2.0.3-1.26 | Quantile Regression Neural Network |
| R-qrnn | 2.0.3-lp155.1.5 | Quantile Regression Neural Network |
| R-qrnn | 2.1.1-lp153.2.2 | Quantile Regression Neural Network |
| R-qrnn | 2.0.3-lp154.1.10 | Quantile Regression Neural Network |
| R-qrnn | 2.0.3-1.38 | Quantile Regression Neural Network |
| R-qrnn | 2.0.3-lp153.1.25 | Quantile Regression Neural Network |
| R-QSARdata | 1.3-lp153.2.13 | Quantitative Structure Activity Relationship (QSAR) Data Set |
| R-qsimulatR | 1.1.1-lp153.1.5 | A Quantum Computer Simulator |
| R-qslice | 0.3.1-lp153.2.2 | Implementations of Various Slice Samplers |
| R-qsort | 0.2.3-lp153.14.7 | Scoring Q-Sort Data |
| R-qst | 0.1.2-lp153.16.2 | Store Tables in SQL Database |
| R-qte | 1.3.1-lp153.16.2 | Quantile Treatment Effects |
| R-qtl2pattern | 1.2.1-lp153.2.2 | Pattern Support for \'qtl2\' Package |
| R-qtlbook | 0.18.8-lp153.2.13 | Datasets for the R/qtl Book |
| R-qtlcharts | 0.16-lp153.13.2 | Interactive Graphics for QTL Experiments |
| R-qtlDesign | 0.953-lp153.2.2 | Design of QTL (Quantitative Trait Locus) Experiments |
| R-qtlhot | 1.0.4-lp153.3.9 | Inference for QTL Hotspots |
| R-qtlmt | 0.1.6-lp153.2.13 | Tools for Mapping Multiple Complex Traits |
| R-QTLRel | 1.14-lp153.1.5 | Tools for Mapping of Quantitative Traits of Genetically Rela |
| R-QTOCen | 0.1.1-lp153.6.11 | Quantile-Optimal Treatment Regimes with Censored Data |
| R-qtwAcademic | 2022.12.13-lp153.2.7 | \'Quarto\' Website Templates for Academics |
| R-quad | 1.0-lp153.2.13 | Exact permutation moments of quadratic form statistics |
| R-quadcleanR | 1.1.0-lp153.1.8 | Cleanup and Visualization of Quadrat Data |
| R-quadform | 0.0.2-lp153.2.2 | Efficient Evaluation of Quadratic Forms |
| R-quadmatrix | 0.1.0-lp153.3.12 | Solving Quadratic Matrix Equations |
| R-quadprog | 1.5_5-lp154.2.10 | Functions to solve Quadratic Programming Problems. |
| R-quadprog | 1.5_5-lp155.2.5 | Functions to solve Quadratic Programming Problems. |
| R-quadprog | 1.5_5-2.35 | Functions to solve Quadratic Programming Problems. |
| R-quadprog | 1.5.8-lp153.2.13 | Functions to solve Quadratic Programming Problems |
| R-quadprog | 1.5_5-2.38 | Functions to solve Quadratic Programming Problems. |
| R-quadprog | 1.5_5-lp153.2.27 | Functions to solve Quadratic Programming Problems. |
| R-quadprogXT | 0.0.5-lp153.2.13 | Quadratic Programming with Absolute Value Constraints |
| R-quadraticSD | 0.1.0-lp153.6.2 | Visualizing the SD using a Quadratic Curve |
| R-QuadRoot | 0.2.1-lp153.1.5 | Quadratic Root for any Quadratic Equation |
| R-qualCI | 0.1-lp153.2.13 | Causal Inference with Qualitative and Ordinal Information on |
| R-QualInt | 1.0.0-lp153.9.11 | Test for Qualitative Interactions |
| R-qualitycontrol | 0.1.0-lp153.9.2 | Unified Framework for Data Quality Control |
| R-qualityTools | 1.55-lp153.2.13 | Statistical Methods for Quality Science |
| R-qualmap | 0.2.2-lp153.4.2 | Opinionated Approach for Digitizing Semi-Structured Qualitat |
| R-qualtRics | 3.2.0-lp153.1.4 | Download \'Qualtrics\' Survey Data |
| R-qualV | 0.3.5-lp153.1.5 | Qualitative Validation Methods |
| R-qualvar | 0.2.0-lp153.2.13 | Implements Indices of Qualitative Variation Proposed by Wilc |
| R-qualypsoss | 1.0.0-lp153.2.13 | Uncertainties of Climate Projections using Smoothing Splines |
| R-Quandl | 2.11.0-lp153.1.12 | API Wrapper for Quandl.com |
| R-quantable | 0.3.6-lp153.14.10 | Streamline Descriptive Analysis of Quantitative Data Matrice |
| R-QuantBondCurves | 0.3.0-lp153.2.2 | Calculates Bond Values and Interest Rate Curves for Finance |
| R-quantCurves | 1.0.0-lp153.2.7 | Estimate Quantiles Curves |
| R-quantdr | 1.2.2-lp153.1.9 | Dimension Reduction Techniques for Conditional Quantiles |
| R-quantileDA | 1.2-lp153.2.2 | Quantile Classifier |
| R-QuantileGH | 0.1.2-lp153.1.9 | Quantile Least Mahalanobis Distance Estimator for Tukey g-&- |
| R-QuantileGradeR | 0.1.1-lp153.2.13 | Quantile-Adjusted Restaurant Grading |
| R-QuantileNPCI | 0.9.0-lp153.2.13 | Nonparametric Confidence Intervals for Quantiles |
| R-quantkriging | 0.1.0-lp153.15.2 | Quantile Kriging for Stochastic Simulations with Replication |
| R-quantmod | 0.4.17-lp155.1.5 | Quantitative Financial Modelling Framework |
| R-quantmod | 0.4.17-lp153.1.24 | Quantitative Financial Modelling Framework |
| R-quantmod | 0.4.26-lp153.1.4 | Quantitative Financial Modelling Framework |
| R-quantmod | 0.4.17-1.27 | Quantitative Financial Modelling Framework |
| R-quantmod | 0.4.17-1.25 | Quantitative Financial Modelling Framework |
| R-quantmod | 0.4.17-lp154.1.10 | Quantitative Financial Modelling Framework |
| R-QuantNorm | 1.0.5-lp153.2.13 | Mitigating the Adverse Impact of Batch Effects in Sample Pat |
| R-quantoptr | 0.1.3-lp153.9.2 | Algorithms for Quantile- And Mean-Optimal Treatment Regimes |
| R-QuantPsyc | 1.6-lp153.6.7 | Quantitative Psychology Tools |
| R-quantreg | 5.36-1.33 | Quantile Regression |
| R-quantreg | 5.98-lp153.2.2 | Quantile Regression |
| R-quantreg | 5.36-lp155.1.5 | Quantile Regression |
| R-quantreg | 5.36-lp154.1.10 | Quantile Regression |
| R-quantreg | 5.36-1.38 | Quantile Regression |
| R-quantreg | 5.36-lp153.1.25 | Quantile Regression |
| R-quantreg-doc | 5.36-lp154.1.10 | Documentation for R-quantreg |
| R-quantreg-doc | 5.36-1.38 | Documentation for R-quantreg |
| R-quantreg-doc | 5.36-1.33 | Documentation for R-quantreg |
| R-quantreg-doc | 5.36-lp153.1.25 | Documentation for R-quantreg |
| R-quantreg-doc | 5.36-lp155.1.5 | Documentation for R-quantreg |
| R-quantreg.nonpar | 1.0-lp153.19.4 | Nonparametric Series Quantile Regression |
| R-quantregGrowth | 1.7.1-lp153.2.2 | Non-Crossing Additive Regression Quantiles and Non-Parametri |
| R-QuantumClone | 1.0.0.6-lp153.4.12 | Clustering Mutations using High Throughput Sequencing (HTS) |
| R-QuantumOps | 3.0.1-lp153.2.13 | Performs Common Linear Algebra Operations Used in Quantum Co |
| R-quarrint | 1.0.0-lp153.2.13 | Interaction Prediction Between Groundwater and Quarry Extens |
| R-quartets | 0.1.1-lp153.1.5 | Datasets to Help Teach Statistics |
| R-quaxnat | 1.0.0-lp153.1.2 | Estimation of Natural Regeneration Potential |
| R-QuClu | 1.0.1-lp153.1.9 | Quantile-Based Clustering Algorithms |
| R-queryparser | 0.3.2-lp153.1.7 | Translate \'SQL\' Queries into \'R\' Expressions |
| R-queryup | 1.0.5-lp153.1.5 | Query the \'UniProtKB\' REST API |
| R-questionr | 0.7.8-lp153.6.2 | Functions to Make Surveys Processing Easier |
| R-QuESTr | 0.1.1-lp153.6.5 | Constructing Quantitative Environment Sensor using Transcrip |
| R-queueing | 0.2.12-lp153.2.13 | Analysis of Queueing Networks and Models |
| R-quhomology | 1.1.1-lp153.2.13 | Calculation of Homology of Quandles, Racks, Biquandles and B |
| R-quickerstats | 0.0.1-lp153.13.5 | An \'R\' Client for the \'USDA NASS Quick Stats API\' |
| R-quickmapr | 0.3.0-lp153.7.7 | Quickly Map and Explore Spatial Data |
| R-quickNmix | 1.1.1-lp153.1.10 | Asymptotic N-Mixture Model Fitting |
| R-quickPlot | 1.0.2-lp153.2.4 | A System of Plotting Optimized for Speed and Modularity |
| R-quickpsy | 0.1.5.1-lp153.18.7 | Fits Psychometric Functions for Multiple Groups |
| R-quid | 0.0.1-lp153.11.2 | Bayesian Mixed Models for Qualitative Individual Differences |
| R-quiddich | 1.0.0-lp153.4.7 | QUick IDentification of DIagnostic CHaracters |
| R-quietR | 0.1.0-lp153.2.13 | Simplify Output Verbosity |
| R-quiltr | 0.1.0-lp153.1.11 | Qualtrics for Labelling Text using R |
| R-quincunx | 0.1.7-lp153.3.4 | REST API Client for the \'PGS\' Catalog |
| R-quint | 2.2.2-lp153.1.8 | Qualitative Interaction Trees |
| R-quokar | 0.1.0-lp153.15.8 | Quantile Regression Outlier Diagnostics with K Left Out Anal |
| R-quollr | 0.1.1-lp153.3.2 | Visualising How Nonlinear Dimension Reduction Warps Your Dat |
| R-quoradsR | 0.1.0-lp153.1.7 | Get \'Quora\' Ads Data via the \'Windsor.ai\' API |
| R-quotedargs | 0.1.3-lp153.2.13 | A Way of Writing Functions that Quote their Arguments |
| R-quRan | 0.1.0-lp153.2.13 | Complete Text of the Qur\'an |
| R-qut | 2.2-lp153.8.4 | Quantile Universal Threshold |
| R-qvalue | 2.18.0-lp153.1.23 | Q-value estimation for false discovery rate control |
| R-qvalue | 2.18.0-1.24 | Q-value estimation for false discovery rate control |
| R-qvalue | 2.18.0-1.41 | Q-value estimation for false discovery rate control |
| R-qvcalc | 0.8_8-2.28 | Quasi variances for factor effects in statistical models |
| R-qvcalc | 0.8_8-lp155.2.5 | Quasi variances for factor effects in statistical models |
| R-qvcalc | 0.8_8-lp154.2.10 | Quasi variances for factor effects in statistical models |
| R-qvcalc | 0.8_8-lp153.2.26 | Quasi variances for factor effects in statistical models |
| R-qvcalc | 0.8_8-2.38 | Quasi variances for factor effects in statistical models |
| R-qvcalc | 1.0.3-lp153.1.5 | Quasi variances for factor effects in statistical models |
| R-qwalkr | 0.1.0-lp153.1.5 | Handle Continuous-Time Quantum Walks with R |
| R-QZ | 0.2.3-lp153.1.5 | Generalized Eigenvalues and QZ Decomposition |
| R-r.blip | 1.1-lp153.2.13 | Bayesian Network Learning Improved Project |
| R-R.cache | 0.13.0-lp154.1.10 | Fast and Light-Weight Caching to Speed Up Computations |
| R-R.cache | 0.13.0-1.28 | Fast and Light-Weight Caching to Speed Up Computations |
| R-R.cache | 0.13.0-1.35 | Fast and Light-Weight Caching to Speed Up Computations |
| R-R.cache | 0.13.0-lp155.1.5 | Fast and Light-Weight Caching to Speed Up Computations |
| R-R.cache | 0.16.0-lp153.1.8 | Fast and Light-Weight Caching (Memoization) of Objects and R |
| R-R.cache | 0.13.0-lp153.1.24 | Fast and Light-Weight Caching to Speed Up Computations |
| R-R.devices | 2.17.2-lp153.1.4 | Unified Handling of Graphics Devices |
| R-R.filesets | 2.15.1-lp153.1.4 | Easy Handling of and Access to Files Organized in Structured |
| R-R.huge | 0.10.1-lp153.1.4 | Methods for Accessing Huge Amounts of Data [deprecated] |
| R-r.jive | 2.4-lp153.3.12 | Perform JIVE Decomposition for Multi-Source Data |
| R-R.matlab | 3.7.0-lp153.1.8 | Read and Write MAT Files and Call MATLAB from Within R |
| R-R.methodsS3 | 1.7.1-lp154.1.10 | S3 Methods Simplified |
| R-R.methodsS3 | 1.7.1-lp155.1.5 | S3 Methods Simplified |
| R-R.methodsS3 | 1.7.1-lp153.1.26 | S3 Methods Simplified |
| R-R.methodsS3 | 1.8.2-lp153.1.9 | S3 Methods Simplified |
| R-R.methodsS3 | 1.7.1-1.32 | S3 Methods Simplified |
| R-R.methodsS3 | 1.7.1-1.30 | S3 Methods Simplified |
| R-R.oo | 1.23.0-lp155.1.5 | R Object-Oriented Programming with or without References |
| R-R.oo | 1.23.0-1.26 | R Object-Oriented Programming with or without References |
| R-R.oo | 1.23.0-1.28 | R Object-Oriented Programming with or without References |
| R-R.oo | 1.23.0-lp154.1.10 | R Object-Oriented Programming with or without References |
| R-R.oo | 1.26.0-lp153.1.4 | R Object-Oriented Programming with or without References |
| R-R.oo | 1.23.0-lp153.1.25 | R Object-Oriented Programming with or without References |
| R-r.proxy | 0.1.3-lp153.1.5 | Set Proxy in R Console |
| R-R.rsp | 0.46.0-lp153.1.4 | Dynamic Generation of Scientific Reports |
| R-R.utils | 2.9.2-lp155.1.5 | Various Programming Utilities |
| R-R.utils | 2.9.2-1.26 | Various Programming Utilities |
| R-R.utils | 2.9.2-1.28 | Various Programming Utilities |
| R-R.utils | 2.9.2-lp154.1.10 | Various Programming Utilities |
| R-R.utils | 2.12.3-lp153.1.4 | Various Programming Utilities |
| R-R.utils | 2.9.2-lp153.1.25 | Various Programming Utilities |
| R-R0 | 1.3.1-lp153.1.5 | Estimation of R0 and Real-Time Reproduction Number from Epid |
| R-r02pro | 0.2-lp153.5.2 | R Programming: Zero to Pro |
| R-R1magic | 0.3.4-lp153.1.5 | Compressive Sampling: Sparse Signal Recovery Utilities |
| R-R2019nCoV | 0.1.0-lp153.11.11 | Analysis of 2019-nCoV Virus |
| R-R2Addhaz | 0.1.0-lp153.3.12 | R2 Measure of Explained Variation under the Additive Hazards |
| R-R2admb | 0.7.15-lp153.1.24 | \'ADMB\' to R Interface Functions |
| R-R2admb | 0.7.15-1.25 | \'ADMB\' to R Interface Functions |
| R-R2admb | 0.7.15-lp154.1.10 | \'ADMB\' to R Interface Functions |
| R-R2admb | 0.7.16.3-lp153.1.7 | \'ADMB\' to R Interface Functions |
| R-R2admb | 0.7.15-1.38 | \'ADMB\' to R Interface Functions |
| R-R2admb | 0.7.15-lp155.1.5 | \'ADMB\' to R Interface Functions |
| R-R2BayesX | 1.1.5-lp153.1.5 | Estimate Structured Additive Regression Models with \'BayesX |
| R-R2BEAT | 1.0.5-lp153.1.5 | Multistage Sampling Allocation and Sample Selection |
| R-R2Cuba | 1.1.0-lp153.2.23 | Multidimensional Numerical Integration |
| R-R2Cuba | 1.1.0-2.31 | Multidimensional Numerical Integration |
| R-R2Cuba | 1.1.0-2.38 | Multidimensional Numerical Integration |
| R-R2Cuba | 1.1.0-lp155.2.5 | Multidimensional Numerical Integration |
| R-R2Cuba | 1.1.0-lp154.2.10 | Multidimensional Numerical Integration |
| R-r2d2 | 1.0.1-lp153.1.9 | Bivariate (Two-Dimensional) Confidence Region and Frequency |
| R-r2d3 | 0.2.6-lp153.13.2 | Interface to \'D3\' Visualizations |
| R-R2DGC | 1.0.3-lp153.2.13 | Multiple Peak Alignment for 2D Gas Chromatography Mass Spect |
| R-r2dictionary | 0.2-lp153.2.2 | A Mini-Dictionary for \'R\', \'Shiny\' and \'Rmarkdown\' Doc |
| R-r2dii.analysis | 0.4.0-lp153.2.2 | Measure Climate Scenario Alignment of Corporate Loans |
| R-r2dii.plot | 0.4.0-lp153.2.2 | Visualize the Climate Scenario Alignment of a Financial Port |
| R-r2dRue | 1.0.4-lp153.2.13 | 2d Rain Use Efficience model |
| R-R2DT | 0.2-lp153.6.2 | Translation of Base R-Like Functions for \'data.table\' Obje |
| R-r2fireworks | 0.1.0-lp153.3.2 | Enhance Your \'Rmarkdown\' and \'shiny\' Apps with Dazzling |
| R-R2HTML | 2.3.1-lp154.1.10 | HTML exportation for R objects |
| R-R2HTML | 2.3.1-1.38 | HTML exportation for R objects |
| R-R2HTML | 2.3.1-lp155.1.5 | HTML exportation for R objects |
| R-R2HTML | 2.3.1-lp153.1.25 | HTML exportation for R objects |
| R-R2HTML | 2.3.1-1.26 | HTML exportation for R objects |
| R-R2jags | 0.5.7-lp154.1.10 | Using R to Run \'JAGS\' |
| R-R2jags | 0.5.7-lp155.1.5 | Using R to Run \'JAGS\' |
| R-R2jags | 0.5.7-1.38 | Using R to Run \'JAGS\' |
| R-R2jags | 0.5.7-lp153.1.23 | Using R to Run \'JAGS\' |
| R-R2jags | 0.5.7-1.24 | Using R to Run \'JAGS\' |
| R-R2MLwiN | 0.8.9-lp153.3.2 | Running \'MLwiN\' from Within R |
| R-R2OpenBUGS | 3.2.3.2.1-lp153.2.13 | Running OpenBUGS from R |
| R-r2r | 0.1.1-lp153.2.5 | R-Object to R-Object Hash Maps |
| R-r2redux | 1.0.17-lp153.1.4 | R2 Statistic |
| R-R2ROC | 1.0.1-lp153.1.4 | AUC Statistics |
| R-r2rtf | 1.1.1-lp153.1.5 | Easily Create Production-Ready Rich Text Format (RTF) Table |
| R-r2shortcode | 0.2-lp153.2.2 | Shorten Function Names of Functions in Another Package and C |
| R-r2stl | 1.0.3-lp153.2.2 | Visualizing Data using a 3D Printer |
| R-r2symbols | 1.4-lp153.4.2 | Symbols for \'Markdown\' and \'Shiny\' Application |
| R-R2WinBUGS | 2.1.21-lp153.1.24 | Running \'WinBUGS\' and \'OpenBUGS\' from \'R\' / \'S-PLUS\' |
| R-R2WinBUGS | 2.1.21-1.25 | Running \'WinBUGS\' and \'OpenBUGS\' from \'R\' / \'S-PLUS\' |
| R-R2WinBUGS | 2.1.21-lp155.1.5 | Running \'WinBUGS\' and \'OpenBUGS\' from \'R\' / \'S-PLUS\' |
| R-R2WinBUGS | 2.1.21-1.38 | Running \'WinBUGS\' and \'OpenBUGS\' from \'R\' / \'S-PLUS\' |
| R-R2WinBUGS | 2.1.21-lp154.1.10 | Running \'WinBUGS\' and \'OpenBUGS\' from \'R\' / \'S-PLUS\' |
| R-R2WinBUGS | 2.1.22.1-lp153.1.4 | Running \'WinBUGS\' and \'OpenBUGS\' from \'R\' / \'S-PLUS\' |
| R-R330 | 1.0-lp153.11.9 | An R package for Stats 330 |
| R-r3dmol | 0.1.0-lp153.1.13 | Create Interactive 3D Visualizations of Molecular Data |
| R-r3js | 0.0.2-lp153.7.2 | \'WebGL\'-Based 3D Plotting using the \'three.js\' Library |
| R-r3PG | 0.1.6-lp153.1.5 | Simulating Forest Growth using the 3-PG Model |
| R-R3port | 0.2.5-lp153.2.2 | Report Functions to Create HTML and PDF Files |
| R-R4CouchDB | 0.7.5-lp153.4.8 | A R Convenience Layer for CouchDB 2.0 |
| R-r4googleads | 0.1.1-lp153.1.11 | \'Google Ads API\' Interface |
| R-r4ss | 1.44.0-lp153.16.2 | R Code for Stock Synthesis |
| R-r511 | 0.1.1-lp153.8.11 | Work with the Bay Area Transportation Commission Application |
| R-R6 | 2.4.1-1.28 | Classes with reference semantics |
| R-R6 | 2.5.1-lp153.1.12 | Encapsulated Classes with Reference Semantics |
| R-R6 | 2.4.1-1.29 | Classes with reference semantics |
| R-R6 | 2.4.1-lp154.1.10 | Classes with reference semantics |
| R-R6 | 2.4.1-lp153.1.26 | Classes with reference semantics |
| R-R6 | 2.4.1-lp155.1.5 | Classes with reference semantics |
| R-R62S3 | 1.4.1-lp153.2.13 | Automatic Method Generation from R6 |
| R-R6causal | 0.8.3-lp153.2.2 | R6 Class for Structural Causal Models |
| R-R6DS | 1.2.0-lp153.3.12 | R6 Reference Class Based Data Structures |
| R-r6extended | 0.1.2-lp153.3.12 | Extension for \'R6\' Base Class |
| R-r6methods | 0.1.0-lp153.16.2 | Make Methods for R6 Classes |
| R-R6P | 0.3.0-lp153.7.2 | Design Patterns in R |
| R-ra4bayesmeta | 1.0.8-lp153.1.5 | Reference Analysis for Bayesian Meta-Analysis |
| R-rabi | 1.0.2-lp153.13.2 | Generate Codes to Uniquely and Robustly Identify Individuals |
| R-RABR | 0.1.1-lp153.4.7 | Simulations for Response Adaptive Block Randomization Design |
| R-RAC | 1.5.5-lp153.2.4 | R Package for Aqua Culture |
| R-racir | 2.0.0-lp153.2.12 | Rapid A/Ci Response (RACiR) Data Analysis |
| R-ractivecampaign | 0.2.0-lp153.10.2 | Loading Data from \'ActiveCampaign API v3\' |
| R-RAD | 0.3-lp153.2.13 | Fit RAD models to biological data |
| R-RADanalysis | 0.5.5-lp153.7.5 | Normalization and Study of Rank Abundance Distributions |
| R-radar | 1.0.0-lp153.2.13 | Fundamental Formulas for Radar |
| R-radarBoxplot | 1.0.5-lp153.1.12 | Implementation of the Radar-Boxplot |
| R-radarchart | 0.3.1-lp153.15.2 | Radar Chart from \'Chart.js\' |
| R-RadData | 1.0.2-lp153.2.2 | Nuclear Decay Data for Dosimetric Calculations - ICRP 107 |
| R-RadioSonde | 4.2-lp153.8.5 | Tools for plotting skew-T diagrams and wind profiles |
| R-radir | 1.0.4-lp153.3.12 | Inverse-Regression Estimation of Radioactive Doses |
| R-radix | 0.6-lp153.8.12 | \'R Markdown\' Format for Scientific and Technical Writing |
| R-radlibs | 0.2.0-lp153.17.2 | Build Your Own Madlibs! |
| R-radmixture | 0.0.1-lp153.4.11 | Calculate Population Stratification |
| R-RadOnc | 1.1.8-lp153.2.7 | Analytical Tools for Radiation Oncology |
| R-radous | 0.1.3-lp153.7.5 | Query Random User Data from the Random User Generator API |
| R-radsafer | 2.3.0-lp153.2.2 | Radiation Safety |
| R-RadTran | 1.0-lp153.2.13 | Radon and Soil Gas Transport in 2D Porous Medium |
| R-RAdwords | 0.1.18-lp153.4.8 | Loading Google Adwords Data into R |
| R-RAEN | 0.2-lp153.3.7 | Random Approximate Elastic Net (RAEN) Variable Selection Met |
| R-rafalib | 1.0.0-lp153.2.13 | Convenience Functions for Routine Data Exploration |
| R-RAFS | 0.2.4-lp153.2.2 | Robust Aggregative Feature Selection |
| R-Rage | 1.6.0-lp153.7.2 | Life History Metrics from Matrix Population Models |
| R-RagGrid | 0.2.0-lp153.19.2 | A Wrapper of the \'JavaScript\' Library \'agGrid\' |
| R-ragtop | 1.1.1-lp153.2.13 | Pricing Equity Derivatives with Extensions of Black-Scholes |
| R-RAhrefs | 0.1.4-lp153.6.12 | \'Ahrefs\' API R Interface |
| R-rai | 1.0.0-lp153.16.5 | Revisiting-Alpha-Investing for Polynomial Regression |
| R-rainbow | 3.8-lp153.1.4 | Bagplots, Boxplots and Rainbow Plots for Functional Data |
| R-raincpc | 1.1.0-lp153.2.13 | Obtain and Analyze Daily Rainfall Data from the USA Climate |
| R-RainfallErosivityFactor | 1.0.0-lp153.2.2 | The Rainfall-Runoff Erosivity Factor |
| R-rainfarmr | 0.1-lp153.2.13 | Stochastic Precipitation Downscaling with the RainFARM Metho |
| R-rairtable | 0.1.2-lp153.1.5 | Efficient Wrapper for the \'Airtable\' API |
| R-RaJIVE | 1.0-lp153.10.5 | Robust Angle Based Joint and Individual Variation Explained |
| R-rakeR | 0.2.1-lp153.3.7 | Easy Spatial Microsimulation (Raking) in R |
| R-rAltmetric | 0.7.0-lp153.3.12 | Retrieves Altmerics Data for Any Published Paper from \'Altm |
| R-RAM | 1.2.1.7-lp153.12.11 | R for Amplicon-Sequencing-Based Microbial-Ecology |
| R-RamanMP | 1.0-lp153.15.2 | Analysis and Identification of Raman Spectra of Microplastic |
| R-Ramble | 0.1.1-lp153.2.13 | Parser Combinator for R |
| R-Rambo | 1.1.1-lp153.8.11 | The Random Subgraph Model |
| R-rAmCharts | 2.1.15-lp153.13.2 | JavaScript Charts Tool |
| R-rAmCharts4 | 1.6.0-lp153.14.2 | Interface to the JavaScript Library \'amCharts 4\' |
| R-ramchoice | 2.2-lp153.1.4 | Revealed Preference and Attention Analysis in Random Limited |
| R-rameritrade | 0.1.5-lp153.15.7 | \'TD Ameritrade\' API Interface for R |
| R-ramify | 0.3.3-lp153.2.13 | Additional Matrix Functionality |
| R-ramlegacy | 0.2.0-lp153.11.5 | Download and Read RAM Legacy Stock Assessment Database |
| R-RAMP | 2.0.2-lp153.2.13 | Regularized Generalized Linear Models with Interaction Effec |
| R-RAMpath | 0.5.1-lp153.1.5 | Structural Equation Modeling Using the Reticular Action Mode |
| R-ramps | 0.6.18-lp153.3.5 | Bayesian Geostatistical Modeling with RAMPS |
| R-ramsvm | 2.3-lp153.1.9 | Reinforced Angle-Based Multicategory Support Vector Machines |
| R-randaes | 0.3-lp153.2.13 | Random number generator based on AES cipher |
| R-randChecks | 0.2.1-lp153.1.13 | Covariate Balance Checks: Randomization Tests and Graphical |
| R-randcorr | 1.0-lp153.2.13 | Generate a Random p x p Correlation Matrix |
| R-randgeo | 0.3.0-lp153.2.13 | Generate Random \'WKT\' or \'GeoJSON\' |
| R-RandMeta | 0.1.0-lp153.2.13 | Efficient Numerical Algorithm for Exact Inference in Meta An |
| R-randNames | 0.2.3-lp153.9.8 | Package Provides Access to Fake User Data |
| R-rando | 0.2.0-lp153.11.7 | Context Aware Random Numbers |
| R-random | 0.2.6-lp153.2.13 | True Random Numbers using RANDOM.ORG |
| R-RandomCoefficients | 0.0.2-lp153.3.12 | Adaptive Estimation in the Linear Random Coefficients Models |
| R-RandomFields | 3.3.14-lp153.1.12 | Simulation and Analysis of Random Fields |
| R-RandomFieldsUtils | 1.2.5-lp153.1.10 | Utilities for the Simulation and Analysis of Random Fields a |
| R-RandomFieldsUtils-devel | 1.2.5-lp153.1.10 | Development files for RandomFieldsUtils |
| R-randomForest | 4.6_12-lp154.2.10 | Breiman and Cutler\'s random forests for classification and |
| R-randomForest | 4.6_12-lp153.2.26 | Breiman and Cutler\'s random forests for classification and |
| R-randomForest | 4.6_12-2.38 | Breiman and Cutler\'s random forests for classification and |
| R-randomForest | 4.6_12-lp155.2.5 | Breiman and Cutler\'s random forests for classification and |
| R-randomForest | 4.6_12-2.36 | Breiman and Cutler\'s random forests for classification and |
| R-randomGLM | 1.10.1-lp153.19.2 | Random General Linear Model Prediction |
| R-randomizationInference | 1.0.4-lp153.1.9 | Flexible Randomization-Based Inference |
| R-randomizeBE | 0.3.6-lp153.1.5 | Create a Random List for Crossover Studies |
| R-randomizeBE | 0.3.2-1.26 | Function to Create a Random List for Crossover Studies |
| R-randomizeBE | 0.3.2-lp154.1.10 | Function to Create a Random List for Crossover Studies |
| R-randomizeBE | 0.3.2-1.38 | Function to Create a Random List for Crossover Studies |
| R-randomizeBE | 0.3.2-lp155.1.5 | Function to Create a Random List for Crossover Studies |
| R-randomizeBE | 0.3.2-lp153.1.24 | Function to Create a Random List for Crossover Studies |
| R-randomizeR | 3.0.1-lp153.1.5 | Randomization for Clinical Trials |
| R-randomizr | 1.0.0-lp153.1.5 | Easy-to-Use Tools for Common Forms of Random Assignment and |
| R-randomMachines | 0.1.0-lp153.1.4 | An Ensemble Modeling using Random Machines |
| R-RandomProjectionTest | 0.1.4-lp153.1.2 | Two-Sample Test in High Dimensions using Random Projection |
| R-randomsearch | 0.2.0-lp153.7.12 | Random Search for Expensive Functions |
| R-Randomuseragent | 0.0.1-lp153.1.12 | Filtering and Randomly Sampling Real User-Agent Strings |
| R-randquotes | 0.1.1-lp153.4.4 | Get Random Quotes from Quotes on Design API |
| R-randtests | 1.0.2-lp153.2.2 | Testing Randomness in R |
| R-randtoolbox | 2.0.4-lp153.1.7 | Toolbox for Pseudo and Quasi Random Number Generation and Ra |
| R-rang | 0.3.0-lp153.2.4 | Reconstructing Reproducible R Computational Environments |
| R-rangeMapper | 2.0.3-lp153.5.4 | A Platform for the Study of Macro-Ecology of Life History Tr |
| R-rangeModelMetadata | 0.1.4-lp153.21.5 | Provides Templates for Metadata Files Associated with Specie |
| R-RankAggreg | 0.6.6-lp153.2.13 | Weighted Rank Aggregation |
| R-RankAggregator | 0.0.1-lp153.2.13 | Aggregation of (Partial) Ordinal Rankings |
| R-rankCorr | 1.0.1-lp153.4.2 | Total, Between-, and Within-Cluster Spearman Rank Correlatio |
| R-rankdifferencetest | 2021.11.25-lp153.1.11 | Kornbrot\'s Rank Difference Test |
| R-rankFD | 0.1.1-lp153.1.10 | Rank-Based Tests for General Factorial Designs |
| R-rankhazard | 1.1.0-lp153.2.13 | Rank-Hazard Plots |
| R-rankICC | 1.0.2-lp153.1.4 | Rank Intraclass Correlation for Clustered Data |
| R-RankingProject | 0.4.0-lp153.1.11 | The Ranking Project: Visualizations for Comparing Population |
| R-rankinPlot | 1.1.0-lp153.1.7 | Convenient Plotting for the Modified Rankin Scale and Other |
| R-rankrate | 1.2.0-lp153.1.5 | Joint Statistical Models for Preference Learning with Rankin |
| R-RankResponse | 4.0.0-lp153.1.9 | Ranking Responses in a Single Response Question or a Multipl |
| R-RANN | 2.6.1-2.31 | Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 M |
| R-RANN | 2.6.1-lp154.2.10 | Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 M |
| R-RANN | 2.6.1-lp153.2.23 | Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 M |
| R-RANN | 2.6.1-lp155.2.5 | Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 M |
| R-RANN | 2.6.1-2.28 | Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 M |
| R-RAP | 1.1-lp153.2.13 | Reversal Association Pattern |
| R-RApiDatetime | 0.0.9-lp153.1.4 | R API for \'Date\' and \'Datetime\' |
| R-rapidjsonr | 1.2.0-lp153.3.7 | \'Rapidjson\' C++ Header Files |
| R-rapidjsonr-devel | 1.2.0-lp153.3.7 | Development files for rapidjsonr |
| R-rapidoc | 9.3.4-lp153.1.4 | Generates \'RapiDoc\' Documentation from an \'OpenAPI\' Spec |
| R-rapidphylo | 0.1.2-lp153.4.4 | Rapidly Estimates Phylogeny from Large Allele Frequency Data |
| R-RapidPolygonLookup | 0.1.1-lp153.3.4 | POLYGON LOOKUP USING KD TREES |
| R-rapidxmlr | 0.1.0-lp153.2.13 | \'Rapidxml\' C++ Header Files |
| R-rappdirs | 0.3.3-lp153.1.13 | Application Directories: Determine Where to Save Data, Cache |
| R-rapport | 1.1-lp153.5.2 | A Report Templating System |
| R-rapportools | 1.1-lp153.4.2 | Miscellaneous (Stats) Helper Functions with Sane Defaults fo |
| R-rappsflyer | 0.2.0-lp153.15.2 | Work with AppsFlyer API |
| R-RaProR | 1.1.5-lp153.2.13 | Calculate Sketches using Random Projections to Reduce Large |
| R-rapsimng | 0.4.4-lp153.1.4 | APSIM Next Generation |
| R-RAPTOR | 1.0.1-lp153.2.13 | Row and Position Tracheid Organizer |
| R-raqs | 1.0.2-lp153.1.4 | Interface to the US EPA Air Quality System (AQS) API |
| R-RAQSAPI | 2.0.5-lp153.1.2 | A Simple Interface to the US EPA Air Quality System Data Mar |
| R-Raquifer | 0.1.0-lp153.14.7 | Estimate the Water Influx into Hydrocarbon Reservoirs |
| R-RareComb | 1.1-lp153.8.2 | Combinatorial and Statistical Analyses of Rare Events |
| R-Rarefy | 1.1-lp153.30.5 | Rarefaction Methods |
| R-rareGE | 0.1-lp153.3.13 | Testing Gene-Environment Interaction for Rare Genetic Varian |
| R-rareNMtests | 1.2-lp153.1.9 | Ecological and Biogeographical Null Model Tests for Comparin |
| R-Rarity | 1.3.8-lp153.1.5 | Calculation of Rarity Indices for Species and Assemblages of |
| R-rarms | 1.0.0-lp153.2.12 | Access Data from the USDA ARMS Data API |
| R-rARPACK | 0.11.0-lp153.3.7 | Solvers for Large Scale Eigenvalue and SVD Problems |
| R-RaschSampler | 0.8.10-lp153.1.5 | Rasch Sampler |
| R-rasciidoc | 4.1.1-lp153.2.3 | Create Reports Using R and \'asciidoc\' |
| R-rassta | 1.0.5-lp153.14.2 | Raster-Based Spatial Stratification Algorithms |
| R-raster | 3.1.5-lp154.1.10 | Geographic Data Analysis and Modeling |
| R-raster | 3.1.5-lp153.1.24 | Geographic Data Analysis and Modeling |
| R-rasterbc | 1.0.2-lp153.1.4 | Access Forest Ecology Layers for British Columbia in 2001-20 |
| R-rasterDT | 0.3.2-lp153.3.4 | Fast Raster Summary and Manipulation |
| R-rasterImage | 0.4.0-lp153.2.13 | An Improved Wrapper of image() |
| R-rasterize | 0.1-lp153.2.13 | Rasterize Graphical Output |
| R-rasterKernelEstimates | 1.0.2-lp153.5.4 | Kernel Based Estimates on in-Memory Raster Images |
| R-rasterList | 0.5.20-lp153.2.4 | A Raster Where Cells are Generic Objects |
| R-rasterpdf | 0.1.1-lp153.2.13 | Plot Raster Graphics in PDF Files |
| R-rasterpic | 0.2.5-lp153.2.2 | Convert Digital Images into \'SpatRaster\' Objects |
| R-rasterVis | 0.51.6-lp153.3.2 | Visualization Methods for Raster Data |
| R-RAT | 0.3.1-lp153.5.2 | Research Assessment Tools |
| R-ratdat | 1.1.0-lp153.1.4 | Portal Project Teaching Database |
| R-ratelimitr | 0.4.1-lp153.2.13 | Rate Limiting for R |
| R-rateratio.test | 1.1-lp153.1.9 | Exact rate ratio test |
| R-ratesci | 0.4.0-lp153.1.11 | Confidence Intervals for Comparisons of Binomial or Poisson |
| R-RATest | 0.1.10-lp153.4.5 | Randomization Tests |
| R-RAthena | 2.6.1-lp153.3.5 | Connect to \'AWS Athena\' using \'Boto3\' (\'DBI\' Interface |
| R-RatingScaleReduction | 1.4-lp153.11.7 | Rating Scale Reduction Procedure |
| R-RationalExp | 0.2.2-lp153.2.13 | Rationalizing Rational Expectations. Tests and Deviations |
| R-rationalfun | 0.1.1-lp153.1.11 | Manipulation of Rational Functions |
| R-ratios | 1.2.0-lp153.7.2 | Calculating Ratios Between Two Data Sets and Correction for |
| R-ratPASTA | 0.2.1-lp153.1.12 | Processing Acoustic Startle Experimental Data |
| R-rATTAINS | 1.0.0-lp153.2.2 | Access EPA \'ATTAINS\' Data |
| R-rattle | 3.3.0-1.38 | Graphical user interface for data mining in R |
| R-rattle | 5.5.1-lp153.8.2 | Graphical User Interface for Data Science in R |
| R-rattle | 3.3.0-1.25 | Graphical user interface for data mining in R |
| R-rattle | 3.3.0-lp155.1.5 | Graphical user interface for data mining in R |
| R-rattle | 3.3.0-lp154.1.10 | Graphical user interface for data mining in R |
| R-rattle | 3.3.0-lp153.1.23 | Graphical user interface for data mining in R |
| R-rattle.data | 1.0.2-lp153.2.13 | Rattle Datasets |
| R-raveio | 0.0.4-lp153.1.10 | Utility Toolbox for RAVE Project |
| R-ravelRy | 0.1.0-lp153.18.2 | An Interface to the \'Ravelry\' API |
| R-raven.rdf | 0.2.0-lp153.1.13 | An R Interface for Raven DataFrames (Beta0) |
| R-rAverage | 0.5.8-lp153.2.13 | Parameter Estimation for the Averaging Model of Information |
| R-rAvis | 0.1.4-lp153.4.12 | Interface to the Bird-Watching Dataset Proyecto AVIS |
| R-raw | 0.1.8-lp153.1.13 | R Actuarial Workshops |
| R-rawKS | 0.1.0-lp153.17.2 | Easily Get True-Positive Rate and False-Positive Rate and KS |
| R-rawr | 0.1.3-lp153.1.12 | Retrieve Raw R Code from Popular Tutorials and Websites |
| R-raws.profile | 0.1.0-lp153.12.2 | Managing Profiles on Amazon Web Service |
| R-rayimage | 0.10.0-lp153.1.6 | Image Processing for Simulated Cameras |
| R-raymolecule | 0.5.3-lp153.1.4 | Parse and Render Molecular Structures in 3D |
| R-rayvertex | 0.10.4-lp153.1.5 | 3D Software Rasterizer |
| R-RAZIAD | 0.0.1-lp153.1.2 | Regression Analysis of Zero-Inflated and Zero-Altered(Hurdle |
| R-rbace | 0.2.2-lp153.8.7 | \'Bielefeld\' Academic Search Engine (\'BASE\') Client |
| R-rBahadur | 1.0.0-lp153.1.5 | Assortative Mating Simulation and Multivariate Bernoulli Var |
| R-RBaseX | 1.1.2-lp153.3.2 | \'BaseX\' Client |
| R-rBayesianOptimization | 1.2.1-lp153.2.2 | Bayesian Optimization of Hyperparameters |
| R-rbbnp | 0.1.0-lp153.1.4 | A Bias Bound Approach to Non-Parametric Inference |
| R-rbcb | 0.1.14-lp153.1.4 | R Interface to Brazilian Central Bank Web Services |
| R-rbcc | 0.1.1-lp153.1.2 | Risk-Based Control Charts |
| R-rBDAT | 1.0.0-lp153.1.4 | Implementation of BDAT Tree Taper Fortran Functions |
| R-RBE3 | 1.1-lp153.1.4 | Estimation and Additional Tools for Quantile Generalized Bet |
| R-rbedrock | 0.3.2-lp153.2.2 | Analysis and Manipulation of Data from Minecraft Bedrock Edi |
| R-rbefdata | 0.3.5-lp153.3.12 | BEFdata R package |
| R-rbenchmark | 1.0.0-lp154.1.10 | Benchmarking routine for R |
| R-rbenchmark | 1.0.0-lp155.1.5 | Benchmarking routine for R |
| R-rbenchmark | 1.0.0-lp153.2.13 | Benchmarking routine for R |
| R-rbenchmark | 1.0.0-1.25 | Benchmarking routine for R |
| R-rbenchmark | 1.0.0-lp153.1.23 | Benchmarking routine for R |
| R-rbenchmark | 1.0.0-1.38 | Benchmarking routine for R |
| R-Rbent | 0.1.0-lp153.2.13 | Robust Bent Line Regression |
| R-rbenvo | 1.0.5-lp153.21.5 | Built Environment Objects |
| R-RBestMatch | 0.1.1-lp153.1.11 | Graded Matching for Large Observational Studies |
| R-rBeta2009 | 1.0-lp153.2.13 | The Beta Random Number and Dirichlet Random Vector Generatin |
| R-RBF | 2.1.1-lp153.1.5 | Robust Backfitting |
| R-rbhl | 0.9.2-lp153.6.7 | Interface to the \'Biodiversity\' \'Heritage\' Library |
| R-rbi | 1.0.0-lp153.2.2 | Interface to \'LibBi\' |
| R-rbi.helpers | 0.4.0-lp153.2.2 | \'rbi\' Helper Functions |
| R-rBiasCorrection | 0.3.4-lp153.6.5 | Correct Bias in DNA Methylation Analyses |
| R-rbin | 0.2.0-lp153.14.5 | Tools for Binning Data |
| R-rbioapi | 0.8.1-lp153.2.2 | User-Friendly R Interface to Biologic Web Services\' API |
| R-rbiorxiv | 0.2.1-lp153.1.13 | Client for the \'bioRxiv\' API |
| R-rbiouml | 1.11-lp153.2.8 | Interact with BioUML Server |
| R-rbison | 1.0.0-lp153.15.7 | Interface to the \'USGS\' \'BISON\' API |
| R-rbit | 1.0.0-lp153.3.12 | Binary Indexed Tree |
| R-Rbitcoin | 0.9.2-lp153.3.12 | R & bitcoin integration |
| R-rbitcoinchartsapi | 1.0.4-lp153.3.12 | R Package for the BitCoinCharts.com API |
| R-RBitmoji | 0.0.2-lp153.3.12 | An R Wrapper to the Overly Complicated \'Bitmoji\' API |
| R-rBMF | 1.1-lp153.2.7 | Boolean Matrix Factorization |
| R-rbmn | 0.9.6-lp153.1.5 | Handling Linear Gaussian Bayesian Networks |
| R-RBMRB | 2.1.7-lp153.11.7 | BMRB Data Access and Visualization |
| R-RBNZ | 1.1.0-lp153.18.4 | Download Data from the Reserve Bank of New Zealand Website |
| R-rbokeh | 0.5.2-lp153.18.5 | R Interface for Bokeh |
| R-rbooster | 1.1.0-lp153.19.3 | AdaBoost Framework for Any Classifier |
| R-rbounds | 2.2-lp153.1.9 | Perform Rosenbaum Bounds Sensitivity Tests for Matched and U |
| R-RBPcurve | 1.2-lp153.15.2 | The Residual-Based Predictiveness Curve |
| R-rbraries | 0.2.0-lp153.1.13 | Interface to the \'Libraries.io\' API |
| R-rbtc | 0.1.6-lp153.3.12 | Bitcoin API |
| R-rbtt | 0.1.0-lp153.2.13 | Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I E |
| R-rbvs | 1.0.2-lp153.2.13 | Ranking-Based Variable Selection |
| R-rbw | 0.3.2-lp153.5.7 | Residual Balancing Weights for Marginal Structural Models |
| R-RbyExample | 0.0.100-lp153.2.2 | Data for the Book \"R by Example\" |
| R-RCA | 2.0-lp153.8.4 | Relational Class Analysis |
| R-rcage | 1.2-lp153.6.7 | Regionalization of Multiscale Spatial Processes |
| R-rcaiman | 1.0.8-lp153.4.7 | CAnopy IMage ANalysis |
| R-RCAL | 2.0-lp153.2.13 | Regularized Calibrated Estimation |
| R-RCALI | 0.3.6-lp153.1.4 | Calculation of the Integrated Flow of Particles Between Poly |
| R-rcane | 1.0-lp153.2.13 | Different Numeric Optimizations to Estimate Parameter Coeffi |
| R-rcanvec | 0.2.1-lp153.2.13 | Access and Plot CanVec and CanVec+ Data for Rapid Basemap Cr |
| R-Rcapture | 1.4.4-lp153.1.9 | Loglinear Models for Capture-Recapture Experiments |
| R-RCarb | 0.1.6-lp153.2.7 | Dose Rate Modelling of Carbonate-Rich Samples |
| R-rcartocolor | 2.1.1-lp153.1.5 | \'CARTOColors\' Palettes |
| R-RCassandra | 0.1.3-lp153.2.13 | R/Cassandra interface |
| R-rCAT | 0.1.6-lp153.2.13 | Conservation Assessment Tools |
| R-RcausalEGM | 0.3.3-lp153.2.5 | A General Causal Inference Framework by Encoding Generative |
| R-rcbalance | 1.8.8-lp153.2.7 | Large, Sparse Optimal Matching with Refined Covariate Balanc |
| R-RCBR | 0.6.2-lp153.1.4 | Random Coefficient Binary Response Estimation |
| R-rcbsubset | 1.1.7-lp153.2.7 | Optimal Subset Matching with Refined Covariate Balance |
| R-rcc | 1.0.0-lp153.2.13 | Parametric Bootstrapping to Control Rank Conditional Coverag |
| R-RCCPCA | 0.1.0-lp153.1.12 | \"Retained Component Criterion for Principal Component Analy |
| R-rcdd | 1.6-lp153.1.4 | Computational Geometry |
| R-rcDEA | 1.0-lp153.3.7 | Robust and Conditional Data Envelopment Analysis (DEA) |
| R-RCEIM | 0.3-lp153.1.13 | R Cross Entropy Inspired Method for Optimization |
| R-RcellData | 1.3.2-lp153.2.13 | Example Dataset for \'Rcell\' Package |
| R-rcens | 0.1.1-lp153.2.2 | Generate Sample Censoring |
| R-RcextTools | 0.1.1-lp153.21.2 | Analytical Procedures in Support of Brazilian Public Sector |
| R-RCGLS | 1.0.3-lp153.5.4 | Download and Open Data Provided by the Copernicus Global Lan |
| R-Rcgmin | 2022.4.30-lp153.1.9 | Conjugate Gradient Minimization of Nonlinear Functions with |
| R-rchallenge | 1.3.4-lp153.19.2 | A Simple Data Science Challenge System |
| R-rCharts | 0.4.2-1.25 | Interactive Charts using Polycharts.js |
| R-rCharts | 0.4.2-lp153.1.24 | Interactive Charts using Polycharts.js |
| R-rCharts | 0.4.2-1.56 | Interactive Charts using Polycharts.js |
| R-RChest | 1.0.3-lp153.7.5 | Locating Distributional Changes in Highly Dependent Time Ser |
| R-RchivalTag | 0.1.9-lp153.3.2 | Analyzing and Interactive Visualization of Archival Tagging |
| R-RChronoModel | 0.4-lp153.17.4 | Post-Processing of the Markov Chain Simulated by ChronoModel |
| R-rcicr | 0.3.4.1-lp153.8.12 | Reverse-Correlation Image-Classification Toolbox |
| R-rciplot | 0.1.1-lp153.1.5 | Plot Jacobson-Truax Reliable Change Indices |
| R-RCircos | 1.2.2-lp153.1.11 | Circos 2D Track Plot |
| R-rcites | 1.3.0-lp153.1.7 | R Interface to the Species+ Database |
| R-rcitoid | 0.1.0-lp153.3.7 | Client for \'Citoid\' |
| R-RCLabels | 0.1.10-lp153.4.2 | Manipulate Matrix Row and Column Labels with Ease |
| R-RClimacell | 0.1.4-lp153.16.2 | R Wrapper for the \'Climacell\' API |
| R-rClinicalCodes | 1.0.1-lp153.4.10 | R tools for integrating with the www.clinicalcodes.org repos |
| R-rclipboard | 0.2.1-lp153.5.2 | Shiny/R Wrapper for \'clipboard.js\' |
| R-RClone | 1.0.3-lp153.1.12 | Partially Clonal Populations Analysis |
| R-rCMA | 1.1.1-lp153.1.8 | R-to-Java Interface for \'CMA-ES\' |
| R-rcmdcheck | 1.3.3-lp153.1.23 | Run \'R CMD check\' from \'R\' and Capture Results |
| R-rcmdcheck | 1.3.3-1.24 | Run \'R CMD check\' from \'R\' and Capture Results |
| R-rcmdcheck | 1.3.3-1.33 | Run \'R CMD check\' from \'R\' and Capture Results |
| R-rcmdcheck | 1.4.0-lp153.5.4 | Run \'R CMD check\' from \'R\' and Capture Results |
| R-Rcmdr | 2.8.0-lp153.11.5 | R Commander |
| R-Rcmdr | 2.1_3-lp153.3.14 | R Commander |
| R-RcmdrMisc | 1.0_2-lp153.1.30 | R Commander Miscellaneous Functions |
| R-RcmdrPlugin.aRnova | 0.0.5-lp153.28.5 | R Commander Plug-in for Repeated-Measures ANOVA |
| R-RcmdrPlugin.BWS1 | 0.1.5-lp153.18.5 | R Commander Plug-in for Case 1 (Object Case) Best-Worst Scal |
| R-RcmdrPlugin.BWS2 | 0.1.0-lp153.14.5 | R Commander Plug-in for Case 2 Best-Worst Scaling |
| R-RcmdrPlugin.coin | 1.0.23-lp153.13.5 | Rcmdr Coin Plug-In |
| R-RcmdrPlugin.coin | 1.0_22-lp153.1.14 | Rcmdr Coin Plug-In |
| R-RcmdrPlugin.cpd | 0.2.0-lp153.11.5 | R Commander Plug-in for Complex Pearson Distributions |
| R-RcmdrPlugin.DCE | 0.1.2-lp153.28.5 | R Commander Plug-in for Discrete Choice Experiments |
| R-RcmdrPlugin.depthTools | 1.3-lp153.2.14 | R commander Depth Tools Plug-In |
| R-RcmdrPlugin.depthTools | 1.4-lp153.28.5 | R commander Depth Tools Plug-In |
| R-RcmdrPlugin.doBy | 0.1_3-lp153.2.14 | Rcmdr doBy Plug-In |
| R-RcmdrPlugin.DoE | 0.12_3-lp153.1.14 | R Commander Plugin for (industrial) Design of Experiments |
| R-RcmdrPlugin.DoE | 0.12.4-lp153.15.5 | R Commander Plugin for (industrial) Design of Experiments |
| R-RcmdrPlugin.doex | 0.2.0-lp153.2.14 | Rcmdr plugin for Stat 4309 course |
| R-RcmdrPlugin.EACSPIR | 0.2.3-lp153.7.5 | Plugin de R-Commander para el Manual \'EACSPIR\' |
| R-RcmdrPlugin.EBM | 1.0_8-lp153.1.14 | Rcmdr Evidence Based Medicine Plug-In package |
| R-RcmdrPlugin.EcoVirtual | 1.0-lp153.28.5 | Rcmdr EcoVirtual Plugin |
| R-RcmdrPlugin.EHESsampling | 2.0-lp153.2.14 | Tools for sampling in European Health Examination Surveys (E |
| R-RcmdrPlugin.epack | 1.2.5-lp153.2.14 | Rcmdr plugin for time series |
| R-RcmdrPlugin.Export | 0.3.1-lp153.29.5 | Export R Output to LaTeX or HTML |
| R-RcmdrPlugin.EZR | 1.61-lp153.8.5 | R Commander Plug-in for the EZR (Easy R) Package |
| R-RcmdrPlugin.FactoMineR | 1.7-lp153.32.5 | Graphical User Interface for FactoMineR |
| R-RcmdrPlugin.FactoMineR | 1.5_0-lp153.1.14 | Graphical User Interface for FactoMineR |
| R-RcmdrPlugin.GWRM | 1.0.2-lp153.28.5 | R Commander Plug-in for Fitting Generalized Waring Regressio |
| R-RcmdrPlugin.IPSUR | 0.2_1-lp153.1.14 | An IPSUR Plugin for the R Commander |
| R-RcmdrPlugin.IPSUR | 0.2.1.1-lp153.18.8 | An IPSUR Plugin for the R Commander |
| R-RcmdrPlugin.KMggplot2 | 0.2.6-lp153.28.5 | R Commander Plug-in for Data Visualization with \'ggplot2\' |
| R-RcmdrPlugin.lfstat | 0.8.3-lp153.16.9 | \'Rcmdr\' Plug-in for Low Flow Analysis |
| R-RcmdrPlugin.MA | 0.0.2-lp153.31.5 | Graphical User Interface for Conducting Meta-Analyses in R |
| R-RcmdrPlugin.MAc | 1.0.9-lp153.2.14 | Meta-Analysis with Correlations (MAc) Rcmdr Plug-in |
| R-RcmdrPlugin.MAd | 0.6.2-lp153.2.14 | Meta-Analysis with Mean Differences (MAd) Rcmdr Plug-in |
| R-RcmdrPlugin.mosaic | 1.0_7-lp153.2.14 | Adds menu items to produce mosaic plots and assoc plots to R |
| R-RcmdrPlugin.MPAStats | 1.2.2-lp153.28.5 | R Commander Plug-in for MPA Statistics |
| R-RcmdrPlugin.NMBU | 1.8.13-lp153.16.5 | R Commander Plug-in for University Level Applied Statistics |
| R-RcmdrPlugin.orloca | 4.8.2-lp153.21.5 | A GUI for Planar Location Problems |
| R-RcmdrPlugin.orloca | 4.1-lp153.2.14 | orloca Rcmdr Plug-in |
| R-RcmdrPlugin.plotByGroup | 0.1.0-lp153.1.14 | Rcmdr plots by group using lattice |
| R-RcmdrPlugin.plotByGroup | 0.1.0-lp153.16.9 | Rcmdr plots by group using lattice |
| R-RcmdrPlugin.pointG | 0.6.6-lp153.2.14 | Graphical POINT of view for questionnaire data Rcmdr Plug-In |
| R-RcmdrPlugin.pointG | 0.6.6-lp153.16.9 | Graphical POINT of view for questionnaire data Rcmdr Plug-In |
| R-RcmdrPlugin.qcc | 1.0_6-lp153.1.14 | Rcmdr qcc Plug-In |
| R-RcmdrPlugin.qual | 2.2.6-lp153.2.14 | Rcmdr plugin for quality control course |
| R-RcmdrPlugin.RiskDemo | 3.0-lp153.28.5 | R Commander Plug-in for Risk Demonstration |
| R-RcmdrPlugin.RMTCJags | 1.0.2-lp153.30.5 | R MTC Jags \'Rcmdr\' Plugin |
| R-RcmdrPlugin.ROC | 1.0.19-lp153.13.5 | Rcmdr Receiver Operator Characteristic Plug-in Package |
| R-RcmdrPlugin.sampling | 1.1-lp153.16.9 | Tools for sampling in Official Statistical Surveys |
| R-RcmdrPlugin.SCDA | 1.2.0-lp153.30.5 | Rcmdr Plugin for Designing and Analyzing Single-Case Experim |
| R-RcmdrPlugin.SensoMineR | 1.11_01-lp153.1.14 | Graphical User Interface for SensoMineR |
| R-RcmdrPlugin.SLC | 0.2-lp153.16.9 | SLC Rcmdr Plug-in |
| R-RcmdrPlugin.SLC | 0.2-lp153.2.14 | SLC Rcmdr Plug-in |
| R-RcmdrPlugin.sos | 0.3_0-lp153.2.14 | Efficiently search the R help pages |
| R-RcmdrPlugin.sos | 0.3.0-lp153.28.5 | Efficiently search the R help pages |
| R-RcmdrPlugin.steepness | 0.3.2-lp153.16.9 | Steepness Rcmdr Plug-in |
| R-RcmdrPlugin.steepness | 0.2-lp153.2.14 | Steepness Rcmdr Plug-in |
| R-RcmdrPlugin.survival | 1.0_4-lp153.2.14 | R Commander Plug-in for the survival Package |
| R-RcmdrPlugin.survival | 1.3.0-lp153.10.5 | R Commander Plug-in for the \'survival\' Package |
| R-RcmdrPlugin.SurvivalT | 1.0_7-lp153.1.14 | Rcmdr Survival Plug-In |
| R-RcmdrPlugin.sutteForecastR | 1.0.0-lp153.25.7 | \'Rcmdr\' Plugin for Alpha-Sutte Indicator \'sutteForecastR\ |
| R-RcmdrPlugin.TeachingDemos | 1.2.0-lp153.28.5 | Rcmdr Teaching Demos Plug-In |
| R-RcmdrPlugin.TeachStat | 1.1.1-lp153.13.5 | R Commander Plugin for Teaching Statistical Methods |
| R-RcmdrPlugin.temis | 0.7.10-lp153.28.5 | Graphical Integrated Text Mining Solution |
| R-RcmdrPlugin.UCA | 1.0_2-lp153.2.14 | UCA Rcmdr Plug-in |
| R-RcmdrPlugin.UCA | 5.1.1-lp153.11.5 | UCA Rcmdr Plug-in |
| R-RcmdrPlugin.WorldFlora | 1.2-lp153.10.5 | R Commander Plug-in for the \'WorldFlora\' Package |
| R-RCMinification | 1.2-lp153.1.7 | Random Coefficient Minification Time Series Models |
| R-rco | 1.0.2-lp153.1.12 | The R Code Optimizer |
| R-rcoder | 0.3.0-lp153.1.5 | Lightweight Data Structure for Recoding Categorical Data wit |
| R-rcol | 0.2.0-lp153.2.11 | Catalogue of Life Client |
| R-RColetum | 0.2.2-lp153.2.7 | Access your Coletum\'s Data from API |
| R-Rcolombos | 2.0.2-lp153.2.12 | Interface to Colombos Compendia using the Exposed REST API |
| R-RColorBrewer | 1.1.3-lp153.1.10 | ColorBrewer palettes |
| R-RColorBrewer | 1.1.2-lp155.2.5 | ColorBrewer palettes |
| R-RColorBrewer | 1.1.2-lp153.2.28 | ColorBrewer palettes |
| R-RColorBrewer | 1.1.2-2.38 | ColorBrewer palettes |
| R-RColorBrewer | 1.1.2-2.30 | ColorBrewer palettes |
| R-RColorBrewer | 1.1.2-lp154.2.10 | ColorBrewer palettes |
| R-RColorConesa | 1.0.0-lp153.1.5 | Conesa Colors Palette |
| R-rcolors | 0.1.0-lp153.1.13 | 270 \'NCL\' Color Tables in R Language |
| R-Rcompadre | 1.3.0-lp153.1.5 | Utilities for using the \'COM(P)ADRE\' Matrix Model Database |
| R-rcompanion | 2.4.36-lp153.2.2 | Functions to Support Extension Education Program Evaluation |
| R-rconfig | 0.3.0-lp153.1.5 | Manage R Configuration at the Command Line |
| R-RConics | 1.1.1-lp153.1.10 | Computations on Conics |
| R-RCPmod | 2.192-lp153.2.7 | Regions of Common Profiles Modelling with Mixtures-of-Expert |
| R-Rcpp | 1.0.5-lp154.2.10 | Seamless R and C++ Integration |
| R-Rcpp | 1.0.5-2.37 | Seamless R and C++ Integration |
| R-Rcpp | 1.0.5-lp155.2.5 | Seamless R and C++ Integration |
| R-Rcpp | 1.0.5-2.24 | Seamless R and C++ Integration |
| R-Rcpp | 1.0.5-lp153.2.28 | Seamless R and C++ Integration |
| R-Rcpp-devel | 1.0.5-lp155.2.5 | Development files for R-Rcpp |
| R-Rcpp-devel | 1.0.5-lp153.2.28 | Development files for R-Rcpp |
| R-Rcpp-devel | 1.0.5-2.37 | Development files for R-Rcpp |
| R-Rcpp-devel | 1.0.5-lp154.2.10 | Development files for R-Rcpp |
| R-Rcpp-devel | 1.0.5-2.24 | Development files for R-Rcpp |
| R-Rcpp-doc | 1.0.5-2.37 | Documentation for R-Rcpp |
| R-Rcpp-doc | 1.0.5-lp155.2.5 | Documentation for R-Rcpp |
| R-Rcpp-doc | 1.0.5-lp154.2.10 | Documentation for R-Rcpp |
| R-Rcpp-doc | 1.0.5-2.24 | Documentation for R-Rcpp |
| R-Rcpp-doc | 1.0.5-lp153.2.28 | Documentation for R-Rcpp |
| R-Rcpp11 | 3.1.2.0.1-lp153.3.7 | R and C++11 |
| R-Rcpp11-devel | 3.1.2.0.1-lp153.3.7 | Development files for Rcpp11 |
| R-RcppArmadillo | 0.9.900.2.0-lp153.1.23 | Rcpp integration for Armadillo templated linear algebra libr |
| R-RcppArmadillo | 0.9.900.2.0-1.30 | Rcpp integration for Armadillo templated linear algebra libr |
| R-RcppArmadillo | 0.9.900.2.0-lp155.1.5 | Rcpp integration for Armadillo templated linear algebra libr |
| R-RcppArmadillo | 0.9.900.2.0-lp154.1.10 | Rcpp integration for Armadillo templated linear algebra libr |
| R-RcppArmadillo | 0.9.900.2.0-1.24 | Rcpp integration for Armadillo templated linear algebra libr |
| R-RcppArmadillo-devel | 0.9.900.2.0-1.24 | Development files for R-RcppArmadillo |
| R-RcppArmadillo-devel | 0.9.900.2.0-lp155.1.5 | Development files for R-RcppArmadillo |
| R-RcppArmadillo-devel | 0.9.900.2.0-lp154.1.10 | Development files for R-RcppArmadillo |
| R-RcppArmadillo-devel | 0.9.900.2.0-1.30 | Development files for R-RcppArmadillo |
| R-RcppArmadillo-devel | 0.9.900.2.0-lp153.1.23 | Development files for R-RcppArmadillo |
| R-RcppArmadillo-doc | 0.9.900.2.0-lp155.1.5 | Documentation for R-RcppArmadillo |
| R-RcppArmadillo-doc | 0.9.900.2.0-lp153.1.23 | Documentation for R-RcppArmadillo |
| R-RcppArmadillo-doc | 0.9.900.2.0-lp154.1.10 | Documentation for R-RcppArmadillo |
| R-RcppArmadillo-doc | 0.9.900.2.0-1.24 | Documentation for R-RcppArmadillo |
| R-RcppArmadillo-doc | 0.9.900.2.0-1.30 | Documentation for R-RcppArmadillo |
| R-RcppCCTZ | 0.2.6-lp155.1.5 | \'Rcpp\' Bindings for the \'CCTZ\' Library |
| R-RcppCCTZ | 0.2.6-1.33 | \'Rcpp\' Bindings for the \'CCTZ\' Library |
| R-RcppCCTZ | 0.2.6-lp153.1.23 | \'Rcpp\' Bindings for the \'CCTZ\' Library |
| R-RcppCCTZ | 0.2.6-1.51 | \'Rcpp\' Bindings for the \'CCTZ\' Library |
| R-RcppCCTZ | 0.2.6-lp154.1.10 | \'Rcpp\' Bindings for the \'CCTZ\' Library |
| R-RcppCCTZ-devel | 0.2.6-lp154.1.10 | Development files for R-RcppCCTZ |
| R-RcppCCTZ-devel | 0.2.6-1.51 | Development files for R-RcppCCTZ |
| R-RcppCCTZ-devel | 0.2.6-1.33 | Development files for R-RcppCCTZ |
| R-RcppCCTZ-devel | 0.2.6-lp155.1.5 | Development files for R-RcppCCTZ |
| R-RcppCCTZ-devel | 0.2.6-lp153.1.23 | Development files for R-RcppCCTZ |
| R-RcppParallel | 5.0.1-lp155.1.5 | Parallel Programming Tools for \'Rcpp\' |
| R-RcppParallel | 5.0.1-lp154.1.11 | Parallel Programming Tools for \'Rcpp\' |
| R-RcppParallel | 5.0.1-1.26 | Parallel Programming Tools for \'Rcpp\' |
| R-RcppParallel | 5.0.1-lp153.1.64 | Parallel Programming Tools for \'Rcpp\' |
| R-RcppParallel-devel | 5.0.1-lp154.1.11 | Development files for R-RcppParallel |
| R-RcppParallel-devel | 5.0.1-1.26 | Development files for R-RcppParallel |
| R-RcppParallel-devel | 5.0.1-lp153.1.64 | Development files for R-RcppParallel |
| R-RcppParallel-devel | 5.0.1-lp155.1.5 | Development files for R-RcppParallel |
| R-RcppProgress | 0.4.1-lp153.1.14 | An Interruptible Progress Bar with OpenMP Support for C++ in |
| R-RcppProgress | 0.4.2-lp153.2.13 | An Interruptible Progress Bar with OpenMP Support for C++ in |
| R-RcppProgress | 0.4.1-1.14 | An Interruptible Progress Bar with OpenMP Support for C++ in |
| R-RcppProgress | 0.4.1-1.56 | An Interruptible Progress Bar with OpenMP Support for C++ in |
| R-RcppRoll | 0.3.0-2.30 | Efficient Rolling / Windowed Operations |
| R-RcppRoll | 0.3.0-2.31 | Efficient Rolling / Windowed Operations |
| R-RcppRoll | 0.3.0-lp155.2.5 | Efficient Rolling / Windowed Operations |
| R-RcppRoll | 0.3.0-lp154.2.10 | Efficient Rolling / Windowed Operations |
| R-RcppRoll | 0.3.0-lp153.2.23 | Efficient Rolling / Windowed Operations |
| R-RcppThread | 2.1.7-lp153.1.4 | R-Friendly Threading in C++ |
| R-RcppXPtrUtils | 0.1.2-lp153.2.7 | XPtr Add-Ons for \'Rcpp\' |
| R-Rcrawler | 0.1.9.1-lp153.8.2 | Web Crawler and Scraper |
| R-RCreliability | 0.1.0-lp153.1.11 | Correct Bias in Estimated Regression Coefficients |
| R-RCriteo | 1.0.2-lp153.4.8 | Loading Criteo Data into R |
| R-Rcriticor | 2.0-lp153.2.13 | Pierre-Goldwin Correlogram |
| R-RCRnorm | 0.0.2-lp153.2.13 | An Integrated Regression Model for Normalizing \'NanoString |
| R-rcrossref | 1.2.0-lp153.11.2 | Client for Various \'CrossRef\' \'APIs\' |
| R-rcrtan | 0.1.1-lp153.1.13 | Criterion-Referenced Test Analysis |
| R-Rcsdp | 0.1.57.5-lp153.1.5 | R interface to the CSDP semidefinite programming library |
| R-Rcssplot | 1.0.0-lp153.2.13 | Styling of Graphics using Cascading Style Sheets |
| R-RCT | 1.2-lp153.3.2 | Assign Treatments, Power Calculations, Balances, Impact Eval |
| R-rct3 | 1.0.4-lp153.2.13 | Predict Fish Year-Class Strength from Survey Data |
| R-RCTS | 0.2.4-lp153.2.2 | Clustering Time Series While Resisting Outliers |
| R-rcube | 0.5-lp153.2.13 | Simulations and Visualizations of Rubik\'s Cube (with Mods) |
| R-Rcurvep | 1.2.1-lp153.5.7 | Concentration-Response Data Analysis using Curvep |
| R-rD3plot | 1.0.68-lp153.5.4 | Interactive Networks, Timelines, Barplots, Galleries with \' |
| R-rda | 1.2.1-lp153.1.7 | Shrunken Centroids Regularized Discriminant Analysis |
| R-rdaisi | 0.1.3-lp153.3.5 | R Client for the Daisi Microservice Platform |
| R-RDataCanvas | 0.1-lp153.2.13 | Basic Runtime Support for Datacanvas.io |
| R-rdatacite | 0.5.4-lp153.1.7 | Client for the \'DataCite\' API |
| R-rdbnomics | 0.6.4-lp153.2.13 | Download DBnomics Data |
| R-rdddr | 1.0.0-lp153.3.7 | Companion Datasets and Functions for Blair, Coppock, and Hum |
| R-rddi | 0.1.1-lp153.3.4 | R Interface to DDI Codebook 2.5 |
| R-rde | 0.1.0-lp153.2.13 | Reproducible Data Embedding |
| R-rdecision | 1.2.1-lp153.1.2 | Decision Analytic Modelling in Health Economics |
| R-rDecode | 0.1.0-lp153.2.13 | Descent-Based Calibrated Optimal Direct Estimation |
| R-rdefra | 0.3.8-lp153.5.13 | Interact with the UK AIR Pollution Database from DEFRA |
| R-rdeps | 0.2-lp153.1.4 | Identify External Packages Used in a Project |
| R-rdetools | 1.0-lp153.2.13 | Relevant Dimension Estimation (RDE) in Feature Spaces |
| R-rdfp | 0.1.4-lp153.15.5 | An Implementation of the \'DoubleClick for Publishers\' API |
| R-RDFTensor | 1.3-lp153.1.13 | Different Tensor Factorization (Decomposition) Techniques fo |
| R-RDHonest | 1.0.0-lp153.2.2 | Honest Inference in Regression Discontinuity Designs |
| R-rdi | 1.0.0-lp153.7.2 | Repertoire Dissimilarity Index |
| R-Rdiagnosislist | 1.2-lp153.1.5 | Manipulate SNOMED CT Diagnosis Lists |
| R-rdian | 0.1.1-lp153.2.12 | Client Library for The Guardian |
| R-Rdice | 1.0.0-lp153.2.13 | A Collection of Functions to Experiment Dice Rolls |
| R-RDIDQ | 1.0-lp153.2.13 | It perform Quality check on data |
| R-RDieHarder | 0.2.6-lp153.1.4 | R Interface to the \'DieHarder\' RNG Test Suite |
| R-Rdistance | 3.0.0-lp153.1.5 | Distance-Sampling Analyses for Density and Abundance Estimat |
| R-rdiversity | 2.2.0-lp153.4.2 | Measurement and Partitioning of Similarity-Sensitive Biodive |
| R-RDML | 1.0-lp153.17.2 | Importing Real-Time Thermo Cycler (qPCR) Data from RDML Form |
| R-rdmulti | 1.1-lp153.1.5 | Analysis of RD Designs with Multiple Cutoffs or Scores |
| R-rDNAse | 1.1.1-lp153.3.13 | Generating Various Numerical Representation Schemes of DNA S |
| R-rdnb | 0.1.5-lp153.4.2 | R Interface to the \'Deutsche Nationalbibliothek (German Nat |
| R-RDnp | 1.3-lp153.9.2 | Robust Test for Complete Independence in High-Dimensions |
| R-rdoc | 0.1.0-lp153.5.8 | Colourised R Documentation |
| R-RDocumentation | 0.8.2-lp153.3.12 | Integrate R with \'RDocumentation\' |
| R-RDota2 | 0.1.6-lp153.2.12 | An R Steam API Client for Valve\'s Dota2 |
| R-rdpower | 2.2-lp153.6.5 | Power Calculations for RD Designs |
| R-rdrobust | 2.2-lp153.1.4 | Robust Data-Driven Statistical Inference in Regression-Disco |
| R-rdrop2 | 0.8.2.1-lp153.18.5 | Programmatic Interface to the \'Dropbox\' API |
| R-Rdrw | 1.0.2-lp153.2.13 | Univariate and Multivariate Damped Random Walk Processes |
| R-rdryad | 1.0.0-lp153.8.7 | Access for Dryad Web Services |
| R-Rdsdp | 1.0.5.2.1-lp153.1.5 | R Interface to DSDP Semidefinite Programming Library |
| R-Rdsm | 2.1.1-lp153.3.9 | Threads Environment for R |
| R-RDSTK | 1.1-lp153.3.12 | An R wrapper for the Data Science Toolkit API |
| R-RDStreeboot | 1.0-lp153.2.13 | RDS Tree Bootstrap Method |
| R-Rdta | 1.0.1-lp153.1.4 | Data Transforming Augmentation for Linear Mixed Models |
| R-rdtLite | 1.4-lp153.15.2 | Provenance Collector |
| R-Rduino | 0.1-lp153.2.13 | A Microcontroller Interface |
| R-Rduinoiot | 0.1.0-lp153.3.7 | \'Arduino Iot Cloud API\' R Client |
| R-rdwd | 1.8.0-lp153.1.5 | Select and Download Climate Data from \'DWD\' (German Weathe |
| R-react | 2024.1.0-lp153.1.4 | Reactivity Helper for \'shiny\' |
| R-reactable | 0.4.4-lp153.9.2 | Interactive Data Tables for R |
| R-reactable.extras | 0.2.0-lp153.4.2 | Extra Features for \'reactable\' Package |
| R-reactablefmtr | 2.0.0-lp153.13.2 | Streamlined Table Styling and Formatting for Reactable |
| R-reactCheckbox | 1.0.0-lp153.4.2 | Checkbox Group Input for \'Shiny\' |
| R-reactlog | 1.1.1-lp153.1.8 | Reactivity Visualizer for \'shiny\' |
| R-ReacTran | 1.4.3.1-lp153.2.13 | Reactive Transport Modelling in 1d, 2d and 3d |
| R-read.dbc | 1.0.7-lp153.2.2 | Read Data Stored in DBC (Compressed DBF) Files |
| R-read.gb | 2.2-lp153.1.12 | Open GenBank Files |
| R-readABF | 1.0.2-lp153.2.13 | Loads Axon Binary Files |
| R-readabs | 0.4.16-lp153.1.2 | Download and Tidy Time Series Data from the Australian Burea |
| R-readbitmap | 0.1.5-lp153.1.23 | Simple Unified Interface to Read Bitmap Images (BMP,JPEG,PNG |
| R-readbitmap | 0.1.5-lp155.1.5 | Simple Unified Interface to Read Bitmap Images (BMP,JPEG,PNG |
| R-readbitmap | 0.1.5-1.24 | Simple Unified Interface to Read Bitmap Images (BMP,JPEG,PNG |
| R-readbitmap | 0.1.5-1.38 | Simple Unified Interface to Read Bitmap Images (BMP,JPEG,PNG |
| R-readbitmap | 0.1.5-lp154.1.10 | Simple Unified Interface to Read Bitmap Images (BMP,JPEG,PNG |
| R-readBrukerFlexData | 1.8.5-lp153.1.25 | Reads Mass Spectrometry Data in Bruker *flex Format |
| R-readBrukerFlexData | 1.8.5-lp154.1.10 | Reads Mass Spectrometry Data in Bruker *flex Format |
| R-readBrukerFlexData | 1.8.5-1.26 | Reads Mass Spectrometry Data in Bruker *flex Format |
| R-readBrukerFlexData | 1.8.5-lp155.1.5 | Reads Mass Spectrometry Data in Bruker *flex Format |
| R-readBrukerFlexData | 1.8.5-1.38 | Reads Mass Spectrometry Data in Bruker *flex Format |
| R-readbulk | 1.1.4-lp153.1.4 | Read and Combine Multiple Data Files |
| R-ReadDIM | 0.2.11-lp153.2.4 | Read ESA SNAP Processed Raster Format in R |
| R-reader | 1.0.6-lp153.3.8 | Suite of Functions to Flexibly Read Data from Files |
| R-readHAC | 1.0-lp153.2.13 | Read Acoustic HAC Format |
| R-readit | 1.0.0-lp153.17.5 | Effortlessly Read Any Rectangular Data |
| R-readJDX | 0.6.4-lp153.2.2 | Import Data in the JCAMP-DX Format |
| R-readmet | 1.7.1-lp153.2.2 | Read some less Popular Formats Used in Meteorology |
| R-readmission | 0.1.0-lp153.1.4 | Hospital Readmission Data for Patients with Diabetes |
| R-readMLData | 0.9.7-lp153.3.12 | Reading Machine Learning Benchmark Data Sets in Different Fo |
| R-readmnist | 1.0.6-lp153.2.13 | Read MNIST Dataset |
| R-readmoRe | 0.2.12-lp153.9.4 | Utilities for Importing and Manipulating Biomedical Data Fil |
| R-readMzXmlData | 2.8.1-1.25 | Reads Mass Spectrometry Data in mzXML Format |
| R-readMzXmlData | 2.8.1-lp153.1.24 | Reads Mass Spectrometry Data in mzXML Format |
| R-readMzXmlData | 2.8.3-lp153.1.5 | Reads Mass Spectrometry Data in mzXML Format |
| R-readMzXmlData | 2.8.1-1.43 | Reads Mass Spectrometry Data in mzXML Format |
| R-readODS | 2.3.0-lp153.1.2 | Read and Write ODS Files |
| R-readODS | 1.6.7-1.58 | Read and Write ODS Files |
| R-readODS | 1.6.7-1.24 | Read and Write ODS Files |
| R-readODS | 1.6.7-lp153.1.23 | Read and Write ODS Files |
| R-readODS-devel | 2.3.0-lp153.1.2 | Development files for readODS |
| R-readOffice | 0.2.2-lp153.13.4 | Read Text Out of Modern Office Files |
| R-readr | 1.4.0-1.27 | Read Rectangular Text Data |
| R-readr | 1.4.0-1.34 | Read Rectangular Text Data |
| R-readr | 1.4.0-lp155.1.5 | Read Rectangular Text Data |
| R-readr | 1.4.0-lp153.1.25 | Read Rectangular Text Data |
| R-readr | 1.4.0-lp154.1.10 | Read Rectangular Text Data |
| R-readroper | 0.9.3-lp153.13.5 | Simply Read ASCII Single and Multicard Polling Datasets |
| R-readsdr | 0.3.0-lp153.2.2 | Translate Models from System Dynamics Software into \'R\' |
| R-readSX | 0.8.3-lp153.3.7 | Read \'SurveyXact\' Data |
| R-readtextgrid | 0.1.2-lp153.2.2 | Read in a \'Praat\' \'TextGrid\' File |
| R-readxl | 1.3.1-lp155.1.5 | Read Excel Files |
| R-readxl | 1.3.1-lp153.1.25 | Read Excel Files |
| R-readxl | 1.3.1-1.73 | Read Excel Files |
| R-readxl | 1.3.1-1.32 | Read Excel Files |
| R-readxl | 1.3.1-lp154.1.10 | Read Excel Files |
| R-readysignal | 0.0.9-lp153.3.4 | \'Ready Signal\' API Wrapper |
| R-realtest | 0.2.3-lp153.1.5 | Where Expectations Meet Reality: Realistic Unit Testing |
| R-reams | 0.1-lp153.2.13 | Resampling-Based Adaptive Model Selection |
| R-Rearrangement | 2.1-lp153.4.11 | Monotonize Point and Interval Functional Estimates by Rearra |
| R-rearrr | 0.3.4-lp153.1.4 | Rearranging Data |
| R-reasonabletools | 0.1-lp153.2.12 | Clean Water Quality Data for NPDES Reasonable Potential Anal |
| R-REAT | 3.0.3-lp153.1.12 | Regional Economic Analysis Toolbox |
| R-rebib | 0.3.2-lp153.2.2 | Convert and Aggregate Bibliographies |
| R-rebird | 1.3.0-lp153.8.7 | R Client for the eBird Database of Bird Observations |
| R-rebus | 0.1.3-lp153.2.13 | Build Regular Expressions in a Human Readable Way |
| R-rebus.base | 0.0.3-lp153.2.13 | Core Functionality for the \'rebus\' Package |
| R-rebus.datetimes | 0.0.2-lp153.1.7 | Date and Time Extensions for the \'rebus\' Package |
| R-rebus.numbers | 0.0.1-lp153.2.13 | Numeric Extensions for the \'rebus\' Package |
| R-rebus.unicode | 0.0.2-lp153.2.13 | Unicode Extensions for the \'rebus\' Package |
| R-RECA | 1.7-lp153.2.13 | Relevant Component Analysis for Supervised Distance Metric L |
| R-recapr | 0.4.4-lp153.1.12 | Two Event Mark-Recapture Experiment |
| R-receptiviti | 0.1.8-lp153.2.2 | Text Analysis Through the \'Receptiviti\' API |
| R-rechaRge | 1.0.0-lp153.2.2 | HydroBudget – Groundwater Recharge Model |
| R-rechonest | 1.2-lp153.4.8 | R Interface to Echo Nest API |
| R-ReCiPa | 3.0-lp153.2.13 | Redundancy Control in Pathways databases |
| R-recipes | 0.1.10-1.25 | Preprocessing Tools to Create Design Matrices |
| R-recipes | 0.1.10-1.41 | Preprocessing Tools to Create Design Matrices |
| R-recluster | 2.9-lp153.16.2 | Ordination Methods for the Analysis of Beta-Diversity Indice |
| R-recluster | 2.9-lp155.16.1 | Ordination Methods for the Analysis of Beta-Diversity Indice |
| R-recluster | 2.9-lp154.16.1 | Ordination Methods for the Analysis of Beta-Diversity Indice |
| R-recmetrics | 0.1.0-lp153.1.3 | Psychometric Evaluation Using Relative Excess Correlations |
| R-recodeflow | 0.1.0-lp153.13.2 | Interface Functions for PMML Creation, and Data Recoding |
| R-recoder | 0.1-lp153.6.7 | A Simple and Flexible Recoder |
| R-recogito | 0.2.1-lp153.13.2 | Interactive Annotation of Text and Images |
| R-recombinator | 1.0.1-lp153.2.13 | Recombinate Nested Lists to Dataframes |
| R-recommenderlab | 0.1_5-lp154.1.10 | Lab for Developing and Testing Recommender Algorithms |
| R-recommenderlab | 0.1_5-1.38 | Lab for Developing and Testing Recommender Algorithms |
| R-recommenderlab | 0.1_5-lp153.1.23 | Lab for Developing and Testing Recommender Algorithms |
| R-recommenderlab | 0.1_5-1.24 | Lab for Developing and Testing Recommender Algorithms |
| R-recommenderlab | 1.0.6-lp153.1.5 | Lab for Developing and Testing Recommender Algorithms |
| R-recommenderlabBX | 0.2.0-lp153.1.9 | Book-Crossing Dataset (BX) for \'recommenderlab\' |
| R-recommenderlabJester | 0.2.0-lp153.1.9 | Jester Dataset for \'recommenderlab\' |
| R-Recon | 0.3.0.0-lp153.2.13 | Computational Tools for Economics |
| R-recorder | 0.8.2-lp153.2.13 | Toolkit to Validate New Data for a Predictive Model |
| R-RecordLinkage | 0.4.12.4-lp153.7.2 | Record Linkage Functions for Linking and Deduplicating Data |
| R-Records | 1.0-lp153.2.13 | Record Values and Record Times |
| R-RecordTest | 2.2.0-lp153.1.5 | Inference Tools in Time Series Based on Record Statistics |
| R-RecurRisk | 1.0.2-lp153.5.12 | Recurrence Risk Assessment Tool |
| R-REdaS | 0.9.4-lp153.1.9 | Companion Package to the Book \'R: Einführung durch angewan |
| R-redcapAPI | 2.5.0-lp153.1.5 | Interface to \'REDCap\' |
| R-REDCapCAST | 23.6.2-lp153.1.5 | REDCap Castellated Data Handling |
| R-REDCapDM | 0.9.9-lp153.2.2 | \'REDCap\' Data Management |
| R-REDCapTidieR | 1.1.1-lp153.2.2 | Extract \'REDCap\' Databases into Tidy \'Tibble\'s |
| R-redditadsR | 0.1.0-lp153.1.7 | Get Reddit Ads Data via the \'Windsor.ai\' API |
| R-RedditExtractoR | 3.0.9-lp153.1.5 | Reddit Data Extraction Toolkit |
| R-reddPrec | 2.0.3-lp153.2.2 | Reconstruction of Daily Data - Precipitation |
| R-REddyProcNCDF | 1.1.4-lp153.17.4 | Reading Data from NetCDF Files for \'REddyProc\' |
| R-REDI | 1.0.0-lp153.2.2 | Robust Exponential Decreasing Index |
| R-ReDirection | 1.0.1-lp153.1.12 | Predict Dominant Direction of Reactions of a Biochemical Net |
| R-RedisBaseContainer | 1.0.1-lp153.1.12 | The Container for the DockerParallel Package |
| R-redlistr | 1.0.4-lp153.1.4 | Tools for the IUCN Red List of Ecosystems and Species |
| R-Redmonder | 0.2.0-lp153.2.13 | Microsoft(r)-Inspired Color Palettes |
| R-redoc | 2.0.0.75-lp153.1.4 | Generates \'Redoc\' Documentation from an \'OpenAPI\' Specif |
| R-REEMtree | 0.90.5-lp153.1.5 | Regression Trees with Random Effects for Longitudinal (Panel |
| R-REFA | 0.1.0-lp153.1.4 | Robust Exponential Factor Analysis |
| R-refdb | 0.1.1-lp153.17.3 | A DNA Reference Library Manager |
| R-refer | 0.1.0-lp153.2.5 | Create Object References |
| R-REffectivePred | 1.0.0-lp153.1.4 | Pandemic Prediction Model in an SIRS Framework |
| R-RefFreeEWAS | 2.2-lp153.2.13 | EWAS using Reference-Free DNA Methylation Mixture Deconvolut |
| R-reflectR | 2.1.3-lp153.2.2 | Automatic Scoring of the Cognitive Reflection Test |
| R-reflimR | 1.0.6-lp153.1.4 | Reference Limit Estimation Using Routine Laboratory Data |
| R-RefManageR | 1.4.0-lp153.6.2 | Straightforward \'BibTeX\' and \'BibLaTeX\' Bibliography Man |
| R-refnr | 0.1.0-lp153.2.13 | Refining Data Table Using a Set of Formulas |
| R-reformulas | 0.3.0-lp153.1.2 | Machinery for Processing Random Effect Formulas |
| R-refreg | 0.1.1-lp153.10.5 | Conditional Multivariate Reference Regions |
| R-refreshr | 0.1.0-lp153.8.7 | Work with Refreshable Datasets that Update their Data Automa |
| R-refset | 0.1.1-lp153.2.13 | Subsets with Reference Semantics |
| R-refuge | 0.3.3-lp153.13.7 | Locate Trans and Intersex-Friendly Toilets |
| R-regclass | 1.6-lp153.3.11 | Tools for an Introductory Class in Regression and Modeling |
| R-RegClust | 1.0-lp153.2.20 | Cluster analysis via regression coefficients. |
| R-RegCombin | 0.4.1-lp153.6.2 | Partially Linear Regression under Data Combination |
| R-regDIF | 1.1.1-lp153.1.4 | Regularized Differential Item Functioning |
| R-REGENT | 1.0.6-lp153.2.13 | Risk Estimation for Genetic and Environmental Traits |
| R-regexPipes | 0.0.1-lp153.2.13 | Wrappers Around \'base::grep()\' for Use with Pipes |
| R-regexSelect | 1.0.0-lp153.12.2 | Regular Expressions in \'shiny\' Select Lists |
| R-regexTestR | 0.1.3-lp153.2.10 | A \'Shiny\' App to Test Regular Expressions in an R Environm |
| R-regfilter | 1.0.3-lp153.1.5 | Elimination of Noisy Samples in Regression Datasets using No |
| R-regional | 0.4.4-lp153.2.2 | Intra- and Inter-Regional Similarity |
| R-regioncode | 0.1.2-lp153.2.2 | Convert Region Names and Division Codes of China Over Years |
| R-regions | 0.1.8-lp153.15.2 | Processing Regional Statistics |
| R-registry | 0.2-lp154.1.10 | Registry infrastructure |
| R-registry | 0.2-lp153.1.26 | Registry infrastructure |
| R-registry | 0.2-1.29 | Registry infrastructure |
| R-registry | 0.5.1-lp153.3.13 | Infrastructure for R Package Registries |
| R-registry | 0.2-lp155.1.5 | Registry infrastructure |
| R-registry | 0.2-1.38 | Registry infrastructure |
| R-RegKink | 0.1.0-lp153.1.13 | Regression Kink with a Time-Varying Threshold |
| R-reglogit | 1.2.7-lp153.1.5 | Simulation-Based Regularized Logistic Regression |
| R-regmedint | 1.0.1-lp153.1.4 | Regression-Based Causal Mediation Analysis with Interaction |
| R-regpro | 0.1.1-lp153.2.13 | Nonparametric Regression |
| R-regr.easy | 1.0.2-lp153.3.5 | Easy Linear, Quadratic and Cubic Regression Models |
| R-regrap | 1.0.1-lp153.2.13 | Reverse Graphical Approaches |
| R-regress | 1.3.21-lp153.2.13 | Gaussian linear models with linear covariance structure |
| R-RegressionFactory | 0.7.4-lp153.2.13 | Expander Functions for Generating Full Gradient and Hessian |
| R-regressoR | 2.0.1-lp153.10.5 | Regression Data Analysis System |
| R-regrrr | 0.1.3-lp153.13.4 | Toolkit for Compiling, (Post-Hoc) Testing, and Plotting Regr |
| R-RegSDC | 0.7.0-lp153.4.2 | Information Preserving Regression-Based Tools for Statistica |
| R-regspec | 2.7-lp153.1.5 | Non-Parametric Bayesian Spectrum Estimation for Multirate Da |
| R-regsubseq | 0.12-lp153.2.13 | Detect and Test Regular Sequences and Subsequences |
| R-regtest | 0.05-lp153.2.13 | Regression testing |
| R-regtomean | 1.1-lp153.18.2 | Regression Toward the Mean |
| R-regtools | 1.7.0-lp153.6.7 | Regression and Classification Tools |
| R-RegularizedSCA | 0.5.4-lp153.16.5 | Regularized Simultaneous Component Based Data Integration |
| R-regweight | 1.0.2-lp153.4.7 | Convenience Functions for Implicit Regression Weights |
| R-rehh | 3.2.2-lp153.1.12 | Searching for Footprints of Selection using \'Extended Haplo |
| R-rehh.data | 1.0.0-lp153.2.13 | Data Only: Searching for Footprints of Selection using Haplo |
| R-rehydratoR | 0.5.2-lp153.17.4 | Downloads Tweets from a List of Tweet IDs |
| R-reinforcelearn | 0.2.1-lp153.2.13 | Reinforcement Learning |
| R-ReinforcementLearning | 1.0.5-lp153.14.5 | Model-Free Reinforcement Learning |
| R-reinstallr | 0.1.5-lp153.1.11 | Search and Install Missing Packages |
| R-reinsureR | 0.1.0-lp153.16.7 | Reinsurance Treaties Application |
| R-rel | 1.4.2-lp153.2.13 | Reliability Coefficients |
| R-rela | 4.1-lp153.2.19 | Item Analysis Package with Standard Errors |
| R-relabeLoadings | 1.0-lp153.2.13 | Relabel Loadings from MCMC Output for Confirmatory Factor An |
| R-relaimpo | 2.2.7-lp153.3.2 | Relative Importance of Regressors in Linear Models |
| R-relatable | 1.0.0-lp153.2.13 | Functions for Mapping Key-Value Pairs, Many-to-Many, One-to- |
| R-Relatedness | 2.0-lp153.2.13 | Maximum Likelihood Estimation of Relatedness using EM Algori |
| R-relations | 0.6.13-lp153.1.5 | Data Structures and Algorithms for Relations |
| R-relaxo | 0.1.2-lp153.2.13 | Relaxed Lasso |
| R-relcircle | 1.0-lp153.2.2 | Draw Regulatory Relationships Between Genes |
| R-RelDists | 1.0.0-lp153.4.2 | Estimation for some Reliability Distributions |
| R-relen | 1.0.1-lp153.2.13 | Compute Relative Entropy |
| R-relevance | 2.1-lp153.1.4 | Calculate Relevance and Significance Measures |
| R-relevent | 1.2.1-lp153.1.7 | Relational Event Models |
| R-Relexon | 0.2.1-lp153.6.13 | Explore the UK\'s National Power Grid Datasets |
| R-relgam | 1.0-lp153.4.7 | Reluctant Generalized Additive Models |
| R-Reliability | 0.0.2-lp153.2.13 | Functions for estimating parameters in software reliability |
| R-reliabilitydiag | 0.2.1-lp153.13.2 | Reliability Diagrams Using Isotonic Regression |
| R-ReliabilityTheory | 0.3.0-lp153.1.4 | Structural Reliability Analysis |
| R-reliaR | 0.01-lp153.2.13 | Package for some probability distributions. |
| R-relimp | 1.0.3-lp154.3.10 | Relative Contribution of Effects in a Regression Model |
| R-relimp | 1.0.3-lp153.3.26 | Relative Contribution of Effects in a Regression Model |
| R-relimp | 1.0.3-lp155.3.5 | Relative Contribution of Effects in a Regression Model |
| R-relimp | 1.0.5-lp153.2.13 | Relative Contribution of Effects in a Regression Model |
| R-relimp | 1.0.3-3.30 | Relative Contribution of Effects in a Regression Model |
| R-relimp | 1.0.3-3.38 | Relative Contribution of Effects in a Regression Model |
| R-relsurv | 2.2.9-lp153.14.3 | Relative Survival |
| R-RelValAnalysis | 1.0-lp153.2.13 | Relative Value Analysis |
| R-rematch | 1.0.1-1.30 | Match Regular Expressions with a Nicer \'API\' |
| R-rematch | 1.0.1-lp155.1.5 | Match Regular Expressions with a Nicer \'API\' |
| R-rematch | 1.0.1-lp154.1.10 | Match Regular Expressions with a Nicer \'API\' |
| R-rematch | 1.0.1-1.38 | Match Regular Expressions with a Nicer \'API\' |
| R-rematch | 1.0.1-lp153.1.27 | Match Regular Expressions with a Nicer \'API\' |
| R-rematch | 2.0.0-lp153.1.5 | Match Regular Expressions with a Nicer \'API\' |
| R-rematch2 | 2.1.1-lp153.1.24 | Tidy Output from Regular Expression Matching |
| R-rematch2 | 2.1.1-1.40 | Tidy Output from Regular Expression Matching |
| R-rematch2 | 2.1.2-lp153.11.5 | Tidy Output from Regular Expression Matching |
| R-rematch2 | 2.1.1-1.28 | Tidy Output from Regular Expression Matching |
| R-remedy | 0.1.0-lp153.13.5 | \'RStudio\' Addins to Simplify \'Markdown\' Writing |
| R-ReMFPCA | 1.0.0-lp153.2.4 | Regularized Multivariate Functional Principal Component Anal |
| R-remindR | 0.0.1-lp153.2.13 | Insert and Extract \"Reminders\" from Function Comments |
| R-remMap | 0.2.0-lp153.2.13 | Regularized Multivariate Regression for Identifying Master P |
| R-remmy | 0.1.0-lp153.2.4 | API Client for \'Lemmy\' |
| R-remoter | 0.4.0-lp153.2.13 | Remote R: Control a Remote R Session from a Local One |
| R-remotes | 2.1.1-1.26 | R Package Installation from Remote Repositories, Including \ |
| R-remotes | 2.1.1-lp155.1.5 | R Package Installation from Remote Repositories, Including \ |
| R-remotes | 2.1.1-lp153.1.26 | R Package Installation from Remote Repositories, Including \ |
| R-remotes | 2.1.1-lp154.1.10 | R Package Installation from Remote Repositories, Including \ |
| R-remotes | 2.1.1-1.30 | R Package Installation from Remote Repositories, Including \ |
| R-remotes | 2.5.0-lp153.2.2 | R Package Installation from Remote Repositories, Including \ |
| R-remss | 1.0.1-lp153.1.13 | Refining Evaluation Methodology on Stage System |
| R-renderthis | 0.2.0-lp153.5.5 | Render Slides to Different Formats |
| R-Renext | 3.1.4-lp153.1.5 | Renewal Method for Extreme Values Extrapolation |
| R-renpow | 0.1.1-lp153.2.13 | Renewable Power Systems and the Environment |
| R-rentrez | 1.2.3-lp153.3.12 | \'Entrez\' in R |
| R-rentrez | 0.3.1-lp153.1.24 | Entrez in R |
| R-rentrez | 0.3.1-1.25 | Entrez in R |
| R-rentrez | 0.3.1-1.48 | Entrez in R |
| R-Renvlp | 3.4.5-lp153.1.5 | Computing Envelope Estimators |
| R-RenvModule | 1.1-lp153.1.12 | Interface to Allow Full Use of the Environment Modules Syste |
| R-renz | 0.2.1-lp153.1.4 | R-Enzymology |
| R-repairData | 0.1.0-lp153.1.12 | Open Repair Alliance Datasets 2021 |
| R-repana | 2.2.0-lp153.2.2 | Repeatable Analysis in R |
| R-RepaymentPlan | 0.1.0-lp153.2.13 | Calculation of Mortgage Plan or Repayment Plan |
| R-RepeatedHighDim | 2.0.0-lp153.2.13 | Global tests for expression data of high-dimensional sets of |
| R-repec | 0.1.0-lp153.2.13 | Access RePEc Data Through API |
| R-repello | 1.0.1-lp153.16.2 | Reports from Trello in R |
| R-RepertoiR | 0.0.1-lp153.9.4 | Repertoire Graphical Visualization |
| R-replacer | 1.0.2-lp153.1.8 | A Value Replacement Utility |
| R-Replicate | 1.2.0-lp153.17.5 | Statistical Metrics for Multisite Replication Studies |
| R-Replication | 0.1.2-lp153.3.7 | Test Replications by Means of the Prior Predictive p-Value |
| R-replicationInterval | 2.0.1-lp153.20.7 | Replication Interval Functions |
| R-ReplicationSuccess | 1.3.2-lp153.1.4 | Design and Analysis of Replication Studies |
| R-Repliscope | 1.1.1-lp153.11.2 | Replication Timing Profiling using DNA Copy Number |
| R-repmis | 0.5-lp153.4.7 | Miscellaneous Tools for Reproducible Research |
| R-repo | 2.1.5-lp153.2.13 | A Data-Centered Data Flow Manager |
| R-RepoGenerator | 0.0.1-lp153.18.3 | Generates a Project and Repo for Easy Initialization of a Wo |
| R-reporter | 1.4.4-lp153.2.2 | Creates Statistical Reports |
| R-repoRter.nih | 0.1.4-lp153.6.2 | R Interface to the \'NIH RePORTER Project\' API |
| R-reportfactory | 0.4.0-lp153.18.2 | Lightweight Infrastructure for Handling Multiple R Markdown |
| R-reportr | 1.3.0-lp153.2.13 | A General Message and Error Reporting System |
| R-reportReg | 0.3.0-lp153.2.13 | An Easy Way to Report Regression Analysis |
| R-reportROC | 3.6-lp153.2.7 | An Easy Way to Report ROC Analysis |
| R-reporttools | 1.1.3-lp153.1.12 | Generate \"LaTeX\"\" Tables of Descriptive Statistics |
| R-repr | 1.1.0-lp155.1.5 | Serializable Representations |
| R-repr | 1.1.0-lp153.1.24 | Serializable Representations |
| R-repr | 1.1.0-1.25 | Serializable Representations |
| R-repr | 1.1.0-lp154.1.10 | Serializable Representations |
| R-repr | 1.1.7-lp153.3.2 | Serializable Representations |
| R-repr | 1.1.0-1.50 | Serializable Representations |
| R-represent | 1.0.1-lp153.1.4 | Determine How Representative Two Multidimensional Data Sets |
| R-represtools | 0.1.3-lp153.2.13 | Reproducible Research Tools |
| R-reprex | 0.3.0-1.37 | Prepare Reproducible Example Code via the Clipboard |
| R-reprex | 0.3.0-1.25 | Prepare Reproducible Example Code via the Clipboard |
| R-reprex | 0.3.0-lp153.1.23 | Prepare Reproducible Example Code via the Clipboard |
| R-reproducible | 2.1.0-lp153.2.2 | Enhance Reproducibility of R Code |
| R-repsd | 1.0.1-lp153.2.4 | Root Expected Proportion Squared Difference for Detecting DI |
| R-repurrrsive | 1.1.0-lp153.2.7 | Examples of Recursive Lists and Nested or Split Data Frames |
| R-reqres | 0.2.5-lp153.4.2 | Powerful Classes for HTTP Requests and Responses |
| R-REQS | 0.8.13-lp153.1.8 | R/EQS Interface |
| R-request | 0.1.0-lp153.3.12 | High Level \'HTTP\' Client |
| R-requiRements | 0.0.3-lp153.1.5 | Helper Package to Install Packages for R |
| R-requireR | 1.0.0.1-lp153.2.13 | R Source Code Modularizer |
| R-rerandPower | 0.0.1-lp153.1.11 | Power and Sample Size Calculations for Completely Randomized |
| R-rerddap | 1.1.0-lp153.1.4 | General Purpose Client for \'ERDDAP\' Servers |
| R-rerddapXtracto | 1.2.0-lp153.2.3 | Extracts Environmental Data from \'ERDDAP\' Web Services |
| R-REREFACT | 1.0-lp153.3.9 | Reordering and/or Reflecting Factors for Simulation Studies |
| R-resample | 0.6-lp153.1.9 | Resampling Functions |
| R-resampledata | 0.3.1-lp153.2.13 | Data Sets for Mathematical Statistics with Resampling in R |
| R-resampledata3 | 1.0-lp153.1.8 | Data Sets for \"Mathematical Statistics with Resampling and |
| R-rescue | 1.0.3-lp153.9.5 | Bootstrap Imputation for Single-Cell RNA-Seq Data |
| R-resde | 1.1-lp153.1.5 | Estimation in Reducible Stochastic Differential Equations |
| R-ResearchAssociate | 1.0.1-lp153.12.7 | Retrieving Publications from PubMed Database Based on User Q |
| R-reservoir | 1.1.5-lp153.2.13 | Tools for Analysis, Design, and Operation of Water Supply St |
| R-RESET | 1.0.0-lp153.2.2 | Reconstruction Set Test |
| R-resevol | 0.3.4.0-lp153.1.4 | Simulate Agricultural Production and Evolution of Pesticide |
| R-reshape | 0.8.9-lp153.2.7 | Flexibly reshape data |
| R-reshape | 0.8.5-1.55 | Flexibly reshape data. |
| R-reshape | 0.8.5-lp153.1.24 | Flexibly reshape data. |
| R-reshape | 0.8.5-lp155.1.5 | Flexibly reshape data. |
| R-reshape | 0.8.5-lp154.1.10 | Flexibly reshape data. |
| R-reshape | 0.8.5-1.28 | Flexibly reshape data. |
| R-reshape2 | 1.4.3-2.35 | Flexibly reshape data: a reboot of the reshape package |
| R-reshape2 | 1.4.3-lp153.2.25 | Flexibly reshape data: a reboot of the reshape package |
| R-reshape2 | 1.4.3-2.35 | Flexibly reshape data: a reboot of the reshape package |
| R-ResidentialEnergyConsumption | 1.1.0-lp153.1.13 | Residential Energy Consumption Data |
| R-ResistorArray | 1.0.32-lp153.2.13 | electrical properties of resistor networks |
| R-reslr | 0.1.1-lp153.5.2 | Modelling Relative Sea Level Data |
| R-resourcer | 1.4.0-lp153.1.5 | Resource Resolver |
| R-ResourceSelection | 0.3.6-lp153.1.5 | Resource Selection (Probability) Functions for Use-Availabil |
| R-ResPBIBD | 0.1.0-lp153.1.7 | \"Resolvable Partially Balanced Incomplete Block Designs (PB |
| R-responsePatterns | 0.1.1-lp153.1.5 | Screening for Careless Responding Patterns |
| R-respR | 2.3.3-lp153.2.2 | Import, Process, Analyse, and Calculate Rates from Respirome |
| R-RESS | 1.3-lp153.2.13 | Integrates R and Essentia |
| R-REST | 1.0.1-lp153.16.9 | RcmdrPlugin Easy Script Templates |
| R-restaurant | 0.1.0-lp153.2.13 | Restaurant Data for Entity Resolution |
| R-restez | 2.1.4-lp153.2.2 | Create and Query a Local Copy of \'GenBank\' in R |
| R-restimizeapi | 1.0.0-lp153.4.8 | Functions for Working with the \'www.estimize.com\' Web Serv |
| R-RESTK | 1.0.0-lp153.1.5 | An Implementation of the RESTK Algorithm |
| R-restorepoint | 0.2-lp153.2.13 | Debugging with Restore Points |
| R-restrictedMVN | 1.0-lp153.2.13 | Multivariate Normal Restricted by Affine Constraints |
| R-result | 0.1.0-lp153.1.4 | Result Type for Safely Handling Operations that can Succeed |
| R-resumer | 0.0.5-lp153.24.2 | Build Resumes with R |
| R-rethinker | 1.1.0-lp153.2.13 | RethinkDB Client |
| R-reticulate | 1.13-1.30 | R Interface to Python |
| R-reticulate | 1.13-lp155.1.5 | R Interface to Python |
| R-reticulate | 1.13-lp153.1.23 | R Interface to Python |
| R-reticulate | 1.13-1.48 | R Interface to Python |
| R-reticulate | 1.13-lp154.1.10 | R Interface to Python |
| R-retimes | 0.1.2-lp153.2.13 | Reaction Time Analysis |
| R-retistruct | 0.6.3-lp153.11.9 | Retinal Reconstruction Program |
| R-retrodesign | 0.2.2-lp153.2.2 | Tools for Type S (Sign) and Type M (Magnitude) Errors |
| R-retroharmonize | 0.2.0-lp153.13.2 | Ex Post Survey Data Harmonization |
| R-retrosheet | 1.1.6-lp153.2.2 | Import Professional Baseball Data from \'Retrosheet\' |
| R-retry | 0.1.1-lp153.1.4 | Repeated Evaluation |
| R-reutils | 0.2.3-lp153.10.5 | Talk to the NCBI EUtils |
| R-reval | 3.1.0-lp153.6.7 | Argument Table Generation for Sensitivity Analysis |
| R-revealjs | 0.9-lp153.21.2 | R Markdown Format for \'reveal.js\' Presentations |
| R-RevEcoR | 0.99.3-lp153.12.4 | Reverse Ecology Analysis on Microbiome |
| R-reveneraR | 0.1.2-lp153.8.2 | Connect to Your \'Revenera\' (Formerly \'Revulytics\') Data |
| R-revengc | 1.0.4-lp153.16.2 | Reverse Engineering Summarized Data |
| R-reverseR | 0.1-lp153.21.2 | Linear Regression Stability to Significance Reversal |
| R-revgeo | 0.15-lp153.4.8 | Reverse Geocoding with the Photon Geocoder for OpenStreetMap |
| R-revpref | 0.1.0-lp153.1.12 | Tools for Computational Revealed Preference Analysis |
| R-RevSD | 0.1.1-lp153.2.2 | Visualizing the Standard Deviation via Revolution |
| R-Revticulate | 1.0.0-lp153.8.2 | Interaction with \"RevBayes\" in R |
| R-revulyticsR | 0.0.3-lp153.18.2 | Connect to Your \'Revulytics\' Data |
| R-reweight | 1.2.1-lp153.2.13 | Adjustment of Survey Respondent Weights |
| R-rex | 1.2.1-lp153.1.11 | Friendly Regular Expressions |
| R-rex | 1.1.2-lp153.1.25 | Friendly Regular Expressions |
| R-rex | 1.1.2-lp155.1.5 | Friendly Regular Expressions |
| R-rex | 1.1.2-1.40 | Friendly Regular Expressions |
| R-rex | 1.1.2-lp154.1.10 | Friendly Regular Expressions |
| R-rex | 1.1.2-1.28 | Friendly Regular Expressions |
| R-Rexperigen | 0.2.1-lp153.4.8 | R Interface to Experigen |
| R-rextendr | 0.3.1-lp153.3.2 | Call Rust Code from R using the \'extendr\' Crate |
| R-Rfacebook | 0.6.15-lp153.6.5 | Access to Facebook API via R |
| R-rfacts | 0.2.1-lp153.3.5 | R Interface to \'FACTS\' on Unix-Like Systems |
| R-rfars | 1.2.0-lp153.2.2 | Download and Analyze Crash Data |
| R-RFCCA | 2.0.0-lp153.1.4 | Random Forest with Canonical Correlation Analysis |
| R-rFDSN | 0.0.0-lp153.3.12 | Get Seismic Data from the International Federation of Digita |
| R-rFerns | 5.0.0-lp153.1.12 | Random Ferns Classifier |
| R-RFGLS | 1.1-lp153.2.13 | Rapid Feasible Generalized Least Squares |
| R-rFIA | 1.0.0-lp153.8.5 | Estimation of Forest Variables using the FIA Database |
| R-rfieldclimate | 0.1.1-lp153.2.2 | Client for the \'FieldClimate\' API |
| R-rfigshare | 0.3.8-lp153.8.5 | An R Interface to \'figshare\' |
| R-rfinance | 0.1.0-lp153.3.11 | Set of Tools for Financial Analysis |
| R-RFinanceYJ | 0.3.1-lp153.2.12 | RFinanceYJ |
| R-rfinterval | 1.0.0-lp153.3.7 | Predictive Inference for Random Forests |
| R-rfishdraw | 0.1.0-lp153.7.5 | Automatically Generated Fish Drawings via JavaScript |
| R-rfisheries | 0.2-lp153.13.5 | \'Programmatic Interface to the \'openfisheries.org\' API\' |
| R-rfishnet2 | 0.2.0-lp153.19.4 | Exploratory Data Analysis for FishNet2 Data |
| R-Rfit | 0.27.0-lp153.2.2 | Rank-Based Estimation for Linear Models |
| R-rflights | 0.1.103-lp153.1.13 | Query Plane Tickets using the \'Kiwi\' API |
| R-RFlocalfdr.data | 0.0.3-lp153.1.4 | Data for the Vignette and Examples in \'RFlocalfdr\' |
| R-RFLPtools | 2.0-lp153.1.11 | Tools to Analyse RFLP Data |
| R-rfm | 0.3.0-lp153.3.2 | Recency, Frequency and Monetary Value Analysis |
| R-RFmerge | 0.1.10-lp153.7.7 | Merging of Satellite Datasets with Ground Observations using |
| R-rfml | 0.1.0-lp153.2.12 | MarkLogic NoSQL Database Server in-Database Analytics for R |
| R-rfoaas | 2.3.2-lp153.1.8 | R Interface to \'FOAAS\' |
| R-rfold | 0.2.0-lp153.3.2 | Working with many R Folders Within an R Package |
| R-Rfolding | 1.0-lp153.2.13 | The Folding Test of Unimodality |
| R-RForcecom | 1.1-lp153.2.12 | Data Integration Feature for Force.com and Salesforce.com |
| R-rfordummies | 0.1.6-lp153.1.11 | Code Examples to Accompany the Book \"R for Dummies\" |
| R-rForest | 0.1.4-lp153.9.7 | Forest Inventory and Analysis |
| R-RFormatter | 0.1.1-lp153.2.13 | R Source Code Formatter |
| R-RFPM | 1.1-lp153.2.2 | Floating Percentile Model |
| R-RFpredInterval | 1.0.8-lp153.6.2 | Prediction Intervals with Random Forests and Boosted Forests |
| R-Rfractran | 1.0.1-lp153.1.5 | A \'FRACTRAN\' Interpreter and Some Helper Functions |
| R-rFSA | 0.9.6-lp153.13.4 | Feasible Solution Algorithm for Finding Best Subsets and Int |
| R-rfUtilities | 2.1.5-lp153.2.13 | Random Forests Model Selection and Performance Evaluation |
| R-rfvimptest | 0.1.3-lp153.4.2 | Sequential Permutation Testing of Random Forest Variable Imp |
| R-RGA | 0.4.2-lp153.4.12 | A Google Analytics API Client |
| R-Rga4gh | 0.1.1-lp153.2.12 | An Interface to the GA4GH API |
| R-rgabriel | 0.9-lp153.1.9 | Gabriel Multiple Comparison Test and Plot the Confidence Int |
| R-rGammaGamma | 1.0.12-lp153.2.13 | Gamma convolutions for methylation array background correcti |
| R-RGAN | 0.1.1-lp153.7.4 | Generative Adversarial Nets (GAN) in R |
| R-RGAP | 0.1.1-lp153.2.2 | Production Function Output Gap Estimation |
| R-Rgb | 1.7.5-lp153.1.5 | The R Genome Browser |
| R-RGBM | 1.0.11-lp153.1.5 | LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network R |
| R-Rgbp | 1.1.4-lp153.5.9 | Hierarchical Modeling and Frequency Method Checking on Overd |
| R-RGCxGC | 1.2.0-lp153.2.7 | Preprocessing and Multivariate Analysis of Bidimensional Gas |
| R-rgdal | 1.6.6-lp153.1.10 | Bindings for the \'Geospatial\' Data Abstraction Library |
| R-rgdax | 1.2.1-lp153.2.8 | Wrapper for \'Coinbase Pro (erstwhile GDAX)\' Cryptocurrency |
| R-RGE | 1.0-lp153.1.12 | Response from Genotype to Environment |
| R-RGeckoboard | 0.1.5-lp153.2.12 | R API for Geckoboard |
| R-rgee | 1.1.7-lp153.5.2 | R Bindings for Calling the \'Earth Engine\' API |
| R-rgeedim | 0.2.7-lp153.1.4 | Search, Composite, and Download \'Google Earth Engine\' Imag |
| R-rgen | 0.0.1-lp153.2.13 | Random Sampling Distribution C++ Routines for Armadillo |
| R-RGenData | 1.0-lp153.2.13 | Generates Multivariate Nonnormal Data and Determines How Man |
| R-RGENERATE | 1.3.7-lp153.1.11 | Tools to Generate Vector Time Series |
| R-RGENERATEPREC | 1.2.9-lp153.3.7 | Tools to Generate Daily-Precipitation Time Series |
| R-RGenetics | 0.1-lp153.2.13 | R packages for genetics research |
| R-rgenius | 0.1.0-lp153.17.4 | Get \'Genius\' API Lyrics |
| R-rgeomstats | 0.0.1-lp153.4.5 | Interface to \'Geomstats\' |
| R-rgeoprofile | 0.2.2-lp153.22.4 | Geographic Profiling Methods for Serial Crime Analysis |
| R-rgeos | 0.6.4-lp153.1.10 | Interface to Geometry Engine - Open Source (\'GEOS\') |
| R-RGF | 1.1.1-lp153.3.5 | Regularized Greedy Forest |
| R-Rgff | 0.1.6-lp153.5.2 | R Utilities for GFF Files |
| R-rGhanaCensus | 0.1.0-lp153.1.11 | 2021 Ghana Population and Housing Census Results as Data Fra |
| R-rgho | 3.0.2-lp153.1.4 | Access WHO Global Health Observatory Data from R |
| R-RGIFT | 0.1.7-lp153.1.4 | Create Quizzes in GIFT Format |
| R-RGISTools | 1.0.2-lp153.7.7 | Handling Multiplatform Satellite Images |
| R-rgl | 1.1.3-lp153.1.5 | 3D Visualization Using OpenGL |
| R-rgl2gltf | 1.0.3-lp153.7.5 | Read and Write \'.gltf\' and \'.glb\' Files |
| R-rglobi | 0.3.4-lp153.1.5 | Interface to Global Biotic Interactions |
| R-Rglpk | 0.6.5.1-lp153.1.4 | R/GNU Linear Programming Kit Interface |
| R-rglplus | 1.1-lp153.3.5 | Extension of the \'rgl\' 3D Visualization Package |
| R-rglwidget | 0.2.1-lp153.17.5 | \'rgl\' in \'htmlwidgets\' Framework |
| R-RGN | 1.0.0-lp153.1.5 | Robust-Gauss Newton (RGN) Optimization of Sum-of-Squares Obj |
| R-rgnoisefilt | 1.1.2-lp153.3.2 | Elimination of Noisy Samples in Regression Datasets using No |
| R-rgnparser | 0.3.0-lp153.1.4 | Parse Scientific Names |
| R-rGoodData | 0.1.1-lp153.2.13 | GoodData API Client Package |
| R-rgoogleads | 0.11.0-lp153.2.2 | Loading Data from \'Google Ads API\' |
| R-RGoogleAnalytics | 0.1.6-lp153.4.12 | R Wrapper for the Google Analytics API |
| R-RGoogleAnalyticsPremium | 0.1.1-lp153.7.7 | Unsampled Data in R for Google Analytics Premium Accounts |
| R-rgoogleclassroom | 0.9.1-lp153.7.2 | API Wrapper for Google Classroom and Google Forms |
| R-RGoogleFit | 0.4.0-lp153.4.8 | R Interface to Google Fit API |
| R-RgoogleMaps | 1.4.3-lp155.1.5 | Overlays on Static Maps |
| R-RgoogleMaps | 1.4.3-lp154.1.10 | Overlays on Static Maps |
| R-RgoogleMaps | 1.4.3-1.35 | Overlays on Static Maps |
| R-RgoogleMaps | 1.4.3-1.25 | Overlays on Static Maps |
| R-RgoogleMaps | 1.5.1-lp153.1.4 | Overlays on Static Maps |
| R-RgoogleMaps | 1.4.3-lp153.1.24 | Overlays on Static Maps |
| R-rgoogleslides | 0.3.2-lp153.3.12 | R Interface to Google Slides |
| R-rgovcan | 1.0.3-lp153.2.11 | Easy Access to the Canadian Open Government Portal |
| R-rgr | 1.1.15-lp153.2.13 | Applied Geochemistry EDA |
| R-RGraphics | 3.0.2-lp153.14.5 | Data and Functions from the Book R Graphics, Third Edition |
| R-rgrass7 | 0.2.13-lp153.1.5 | Deprecated Interface Between GRASS Geographical Information |
| R-rgrassdoc | 1.0.0-lp153.3.8 | Consult \'Grass GIS\' Documentation in the RStudio Viewer or |
| R-RGremlinsConjoint | 0.9.1-lp153.1.5 | Estimate the \"Gremlins in the Data\" Model for Conjoint Stu |
| R-rgsp | 0.2.0-lp153.13.7 | Repetitive Group Sampling Plan Based on Cpk |
| R-rgTest | 0.1-lp153.1.5 | Robust Graph-Based Two-Sample Test |
| R-RGtk2Extras | 0.6.1-3.38 | Data frame editor and dialog making wrapper for RGtk2 |
| R-RGtk2Extras | 0.6.1-3.29 | Data frame editor and dialog making wrapper for RGtk2 |
| R-RGtk2Extras | 0.6.1-lp153.3.23 | Data frame editor and dialog making wrapper for RGtk2 |
| R-rgtmx | 0.1.4-lp153.1.11 | Manage GTmetrix Tests in R |
| R-rgudhi | 0.2.0-lp153.1.5 | An Interface to the GUDHI Library for Topological Data Analy |
| R-rGV | 0.0.4-lp153.1.7 | Analysis of Continuous Glucose Monitor Data |
| R-rgw | 0.3.0-lp153.2.13 | Goodman-Weare Affine-Invariant Sampling |
| R-rhandsontable | 0.3.8-lp153.14.2 | Interface to the \'Handsontable.js\' Library |
| R-RHawkes | 1.0-lp153.2.7 | Renewal Hawkes Process |
| R-RHclust | 2.0.0-lp153.1.5 | Vector in Partition |
| R-rhcoclust | 2.0.0-lp153.7.4 | Robust Hierarchical Co-Clustering to Identify Significant Co |
| R-rHealthDataGov | 1.0.1-lp154.1.10 | Retrieve data sets from the HealthData.gov data API |
| R-rHealthDataGov | 1.0.1-lp153.3.12 | Retrieve data sets from the HealthData.gov data API |
| R-rHealthDataGov | 1.0.1-lp155.1.5 | Retrieve data sets from the HealthData.gov data API |
| R-rHealthDataGov | 1.0.1-1.48 | Retrieve data sets from the HealthData.gov data API |
| R-rHealthDataGov | 1.0.1-lp153.1.23 | Retrieve data sets from the HealthData.gov data API |
| R-rHealthDataGov | 1.0.1-1.24 | Retrieve data sets from the HealthData.gov data API |
| R-rheroicons | 1.0.0-lp153.8.2 | A Zero Dependency \'SVG\' Icon Library for \'Shiny\' |
| R-rHL7 | 1.0.0-lp153.1.11 | Read and Write Health Level 7 Files |
| R-rhli | 0.0.2-lp153.2.13 | An R Implementation of the FIS MarketMap C-Toolkit |
| R-rhmc | 1.0.0-lp153.2.13 | Hamiltonian Monte Carlo |
| R-rhmmer | 0.1.0-lp153.6.12 | Utilities Parsing \'HMMER\' Results |
| R-rhnerm | 1.1-lp153.2.13 | Random Heteroscedastic Nested Error Regression |
| R-rhoneycomb | 2.3.4-lp153.1.5 | Analysis of Honeycomb Selection Designs |
| R-rhosa | 0.3.0-lp153.2.2 | Higher-Order Spectral Analysis |
| R-rhosp | 1.10-lp153.2.13 | Side effect risks in hospital : simulation and estimation |
| R-RHPCBenchmark | 0.1.0-lp153.2.13 | Benchmarks for High-Performance Computing Environments |
| R-RhpcBLASctl | 0.23.42-lp153.1.7 | Control the Number of Threads on \'BLAS\' |
| R-rHpcc | 1.0-lp153.3.12 | Interface between HPCC and R |
| R-RHRT | 1.0.1-lp153.1.12 | Heart Rate Turbulence Analysis |
| R-RHRV | 4.2.7-lp153.12.2 | Heart Rate Variability Analysis of ECG Data |
| R-RHSDB | 0.2.0-lp153.1.7 | Ryan-Holm Step-Down Bonferroni or Sidak Procedure |
| R-RHT | 1.0-lp153.2.13 | Regularized Hotelling\'s T-square Test for Pathway (Gene Set |
| R-rhub | 2.0.0-lp153.2.2 | Tools for R Package Developers |
| R-RHybridFinder | 0.2.0-lp153.2.7 | Identification of Hybrid Peptides in Immunopeptidomic Analys |
| R-rhymer | 1.2.0-lp153.1.7 | Wrapper for the \'Datamuse\' API to Find Rhyming and Associa |
| R-rhype | 0.3.0-lp153.2.7 | Work with Hypergraphs in R |
| R-ri | 0.9-lp153.2.13 | ri: R package for performing randomization-based inference f |
| R-ri2 | 0.4.0-lp153.6.7 | Randomization Inference for Randomized Experiments |
| R-RIA | 1.7.2-lp153.1.4 | Radiomics Image Analysis Toolbox for Medial Images |
| R-riAFTBART | 0.3.3-lp153.1.2 | A Flexible Approach for Causal Inference with Multiple Treat |
| R-rib | 0.20.0-lp153.2.2 | An Implementation of \'Interactive Brokers\' API |
| R-ribd | 1.7.0-lp153.1.2 | Pedigree-based Relatedness Coefficients |
| R-ricegeneann | 1.0.2-lp153.12.7 | Gene Annotation of Rice (Oryza Sativa L.spp.japonica) |
| R-riceidconverter | 1.1.1-lp153.13.7 | Convert Biological ID from RAP or MSU to SYMBOL for Oryza Sa |
| R-riceware | 0.4-lp153.2.13 | A Diceware Passphrase Implementation |
| R-rich | 1.0.1-lp153.2.13 | Computes and Compares Species Richnesses |
| R-ricu | 0.5.6-lp153.1.5 | Intensive Care Unit Data with R |
| R-RIdeogram | 0.2.2-lp153.14.2 | Drawing SVG Graphics to Visualize and Map Genome-Wide Data o |
| R-ridge | 3.3-lp153.1.10 | Ridge Regression with Automatic Selection of the Penalty Par |
| R-RidgeFusion | 1.0.3-lp153.2.13 | R Package for Ridge Fusion in Statistical Learning |
| R-ridgregextra | 0.1.1-lp153.4.2 | Ridge Regression Parameter Estimation |
| R-ridigbio | 0.3.8-lp153.1.4 | Interface to the iDigBio Data API |
| R-Ridit | 1.1-lp153.2.13 | Ridit Analysis (An extension of the Kruskal-Wallis Test.) |
| R-ridittools | 0.1-lp153.2.13 | Useful Functions for Ridit Analysis |
| R-Riex | 1.0.2-lp153.12.2 | IEX Stocks and Market Data |
| R-rif | 0.2.0-lp153.1.13 | Client for \'Neuroscience\' Information Framework \'APIs\' |
| R-rifle | 1.0-lp153.2.13 | Sparse Generalized Eigenvalue Problem |
| R-rifreg | 0.1.0-lp153.2.2 | Estimate Recentered Influence Function Regression |
| R-RIFS | 0.1.6-lp153.1.9 | Random Iterated Function System |
| R-Rigma | 0.2.1-lp153.10.2 | Access to the \'Figma\' API |
| R-rigr | 1.0.4-lp153.1.8 | Regression, Inference, and General Data Analysis Tools in R |
| R-riingo | 0.3.1-lp153.11.7 | An R Interface to the \'Tiingo\' Stock Price API |
| R-RImagePalette | 0.1.1-lp153.14.5 | Extract the Colors from Images |
| R-RImpact | 1.0-lp153.2.13 | Calculates Measures of Scholarly Impact |
| R-rimu | 0.6-lp153.4.7 | Responses in Multiplex |
| R-rinat | 0.1.9-lp153.6.7 | Access \'iNaturalist\' Data Through APIs |
| R-rineq | 0.2.3-lp153.1.5 | Concentration Index and Decomposition for Health Inequalitie |
| R-ringostat | 0.1.5-lp153.8.2 | Load Data from \'Ringostat API\' |
| R-RInside | 0.2.13-lp153.2.23 | C++ Classes to Embed R in C++ Applications |
| R-RInside | 0.2.13-2.57 | C++ Classes to Embed R in C++ Applications |
| R-RInside | 0.2.13-lp155.2.5 | C++ Classes to Embed R in C++ Applications |
| R-RInside | 0.2.13-2.32 | C++ Classes to Embed R in C++ Applications |
| R-RInside | 0.2.13-lp154.2.10 | C++ Classes to Embed R in C++ Applications |
| R-RInside-devel | 0.2.13-2.32 | Include files for developing with R-Inside |
| R-RInside-devel | 0.2.13-lp154.2.10 | Include files for developing with R-Inside |
| R-RInside-devel | 0.2.13-2.57 | Include files for developing with R-Inside |
| R-RInside-devel | 0.2.13-lp153.2.23 | Include files for developing with R-Inside |
| R-RInside-devel | 0.2.13-lp155.2.5 | Include files for developing with R-Inside |
| R-RInSp | 1.2.5-lp153.1.9 | R Individual Specialization |
| R-Rinstapkg | 0.1.0-lp153.4.13 | An Implementation of the \'Instagram\' API Using Tidy Princi |
| R-rintcal | 0.6.4-lp153.1.5 | Radiocarbon Calibration Curves |
| R-rIntervalTree | 0.1.0-lp153.2.13 | An Interval Tree Tool for Real Numbers |
| R-rintimg | 0.1.0-lp153.8.2 | View Images on Full Screen in \'RMarkdown\' Documents and \' |
| R-rintrojs | 0.3.4-lp153.3.2 | Wrapper for the \'Intro.js\' Library |
| R-rio | 0.5.16-lp153.1.25 | A Swiss-Army Knife for Data I/O |
| R-rio | 0.5.16-1.24 | A Swiss-Army Knife for Data I/O |
| R-rio | 0.5.16-1.51 | A Swiss-Army Knife for Data I/O |
| R-rio | 0.5.16-lp155.1.5 | A Swiss-Army Knife for Data I/O |
| R-rio | 0.5.16-lp154.1.10 | A Swiss-Army Knife for Data I/O |
| R-rIP | 1.2.0-lp153.16.7 | Detects Fraud in Online Surveys by Tracing, Scoring, and Vis |
| R-RISCA | 1.0.5-lp153.1.3 | Causal Inference and Prediction in Cohort-Based Analyses |
| R-rise | 1.0.4-lp153.16.7 | Conduct RISE Analysis |
| R-Risk | 1.0-lp153.2.13 | Computes 26 Financial Risk Measures for Any Continuous Distr |
| R-riskPredictClustData | 0.2.6-lp153.28.2 | Assessing Risk Predictions for Clustered Data |
| R-riskR | 1.1-lp153.2.13 | Risk Management |
| R-risks | 0.4.2-lp153.3.2 | Estimate Risk Ratios and Risk Differences using Regression |
| R-riskscores | 1.1.1-lp153.2.2 | Optimized Integer Risk Score Models |
| R-risksetROC | 1.0.4.1-lp153.1.9 | Riskset ROC Curve Estimation from Censored Survival Data |
| R-riskSimul | 0.1.2-lp153.1.5 | Risk Quantification for Stock Portfolios under the T-Copula |
| R-riskyr | 0.4.0-lp153.1.8 | Rendering Risk Literacy more Transparent |
| R-RISmed | 2.3.0-lp153.2.4 | Download Content from NCBI Databases |
| R-Rita | 1.2.0-lp153.1.10 | Automated Transformations, Normality Testing, and Reporting |
| R-Ritc | 1.0.2-lp153.2.13 | Isothermal Titration Calorimetry (ITC) Data Analysis |
| R-ritis | 1.0.0-lp153.9.7 | Integrated Taxonomic Information System Client |
| R-RItools | 0.3.4-lp153.1.2 | Randomization Inference Tools |
| R-riv | 2.0.5-lp153.4.11 | Robust Instrumental Variables Estimator |
| R-RiverBuilder | 0.1.1-lp153.2.13 | River Generation for Given Data Sets |
| R-RiverLoad | 1.0.3-lp153.7.7 | Load Estimation of River Compounds with Different Methods |
| R-rivernet | 1.2.3-lp153.1.5 | Read, Analyze and Plot River Networks |
| R-riverplot | 0.10-lp153.1.13 | Sankey or Ribbon Plots |
| R-rivervis | 0.46.0-lp153.2.13 | River Visualisation Tool |
| R-Rivivc | 0.9.1-lp153.1.9 | In Vitro in Vivo Correlation Linear Level \"A\" |
| R-rjags | 4.6-1.38 | Bayesian Graphical Models using MCMC |
| R-rjags | 4.6-lp153.1.23 | Bayesian Graphical Models using MCMC |
| R-rjags | 4.6-lp154.1.10 | Bayesian Graphical Models using MCMC |
| R-rjags | 4.6-1.31 | Bayesian Graphical Models using MCMC |
| R-rjags | 4.6-lp155.1.5 | Bayesian Graphical Models using MCMC |
| R-rjazz | 0.1.7-lp153.4.8 | Official Client for \'Jazz\' |
| R-RJDBC | 0.2_4-1.36 | Provides access to databases through the JDBC interface |
| R-RJDBC | 0.2_4-lp153.1.23 | Provides access to databases through the JDBC interface |
| R-RJDBC | 0.2_4-1.24 | Provides access to databases through the JDBC interface |
| R-rje | 1.12.1-lp153.1.7 | Miscellaneous Useful Functions for Statistics |
| R-rjmcmc | 0.4.5-lp153.3.12 | Reversible-Jump MCMC Using Post-Processing |
| R-rjqpd | 0.2.3-lp153.2.13 | The Johnson Quantile-Parameterised Distribution |
| R-rjson | 0.2.14-1.38 | JSON for R |
| R-rjson | 0.2.14-lp155.1.5 | JSON for R |
| R-rjson | 0.2.14-lp154.1.10 | JSON for R |
| R-rjson | 0.2.14-1.35 | JSON for R |
| R-rjson | 0.2.14-lp153.1.26 | JSON for R |
| R-RJSONIO | 1.3.1.9-lp153.1.4 | Serialize R objects to JSON, JavaScript Object Notation |
| R-RJSplot | 2.7-lp153.1.11 | Interactive Graphs with R |
| R-rjstat | 0.4.3-lp153.1.5 | Handle \'JSON-stat\' Format in R |
| R-rjtools | 1.0.13-lp153.2.2 | Preparing, Checking, and Submitting Articles to the \'R Jour |
| R-rjwsacruncher | 0.2.0-lp153.1.5 | Interface to the \'JWSACruncher\' of \'JDemetra+\' |
| R-RKEELdata | 1.0.5-lp153.2.13 | Datasets from \'KEEL\' for it Use in \'RKEEL\' |
| R-RKelly | 1.0-lp153.2.13 | Translate Odds and Probabilities |
| R-rKenyaForex | 0.1.0-lp153.1.8 | Historical Data for Kenya Foreign Exchange Prices |
| R-rkeops | 2.2.2-lp153.1.4 | Kernel Operations on GPU or CPU, with Autodiff, without Memo |
| R-rKIN | 0.3.0-lp153.1.7 | (Kernel) Isotope Niche Estimation |
| R-RkMetrics | 1.3-lp153.2.13 | Hybrid Mortality Estimation |
| R-rKolada | 0.2.3-lp153.2.2 | Access Data from the \'Kolada\' Database |
| R-rkt | 1.7-lp153.1.4 | Mann-Kendall Test, Seasonal and Regional Kendall Tests |
| R-RKUM | 0.1.1.1-lp153.1.9 | Robust Kernel Unsupervised Methods |
| R-Rlab | 4.0-lp153.1.9 | Functions and Datasets Required for ST370 Class |
| R-rLakeAnalyzer | 1.11.4.1-lp153.3.7 | Lake Physics Tools |
| R-rlang | 1.1.4-lp153.1.2 | Functions for Base Types and Core R and \'Tidyverse\' Featur |
| R-rlang | 1.0.2-lp154.1.10 | Functions for Base Types and Core R and \'Tidyverse\' Featur |
| R-rlang | 1.0.2-lp155.1.5 | Functions for Base Types and Core R and \'Tidyverse\' Featur |
| R-rlang | 1.0.2-1.12 | Functions for Base Types and Core R and \'Tidyverse\' Featur |
| R-rlang | 1.0.2-1.14 | Functions for Base Types and Core R and \'Tidyverse\' Featur |
| R-rlang | 1.0.2-lp153.1.11 | Functions for Base Types and Core R and \'Tidyverse\' Featur |
| R-rlc | 0.5.0-lp153.2.2 | Create Interactive Linked Charts with Minimal Code |
| R-rlcv | 1.0.0-lp153.1.11 | Robust Likelihood Cross Validation Bandwidth Selection |
| R-rld | 1.0-lp153.2.12 | Analyze and Design Repeated Low-Dose Challenge Experiments |
| R-rLDCP | 1.0.2-lp153.3.12 | Text Generation from Data |
| R-rle | 0.9.2-lp153.2.13 | Common Functions for Run-Length Encoded Vectors |
| R-RLeafAngle | 1.0-lp153.2.13 | Estimates, Plots and Evaluates Leaf Angle Distribution Funct |
| R-rleafmap | 0.2.1-lp153.2.4 | Interactive Maps with R and Leaflet |
| R-rlecuyer | 0.3.8-lp153.1.4 | R interface to RNG with multiple streams |
| R-rLiDAR | 0.1.5-lp153.10.5 | LiDAR Data Processing and Visualization |
| R-Rlinkedin | 0.2-lp153.6.5 | Access to the LinkedIn API via R |
| R-rlinkedinads | 0.2.0-lp153.1.4 | Load Data from \'Linkedin Advertising API\' |
| R-rlist | 0.4.6.2-lp153.1.12 | A Toolbox for Non-Tabular Data Manipulation |
| R-rlist | 0.4.6.1-lp153.1.23 | A Toolbox for Non-Tabular Data Manipulation |
| R-rlist | 0.4.6.1-1.24 | A Toolbox for Non-Tabular Data Manipulation |
| R-rlist | 0.4.6.1-1.24 | A Toolbox for Non-Tabular Data Manipulation |
| R-rllama | 0.4.4-lp153.1.4 | Access and Analyze Data from \'DeFiLlama\' |
| R-rlmDataDriven | 0.4.0-lp153.4.5 | Robust Regression with Data Driven Tuning Parameter |
| R-Rlof | 1.1.3-lp153.1.8 | R Parallel Implementation of Local Outlier Factor(LOF) |
| R-rlog | 0.1.0-lp153.1.13 | A Simple, Opinionated Logging Utility |
| R-RLogicalOps | 0.1-lp153.7.2 | Process Logical Operations |
| R-RLT | 3.2.6-lp153.1.5 | Reinforcement Learning Trees |
| R-rLTP | 0.1.4-lp153.4.8 | R Interface to the \'LTP\'-Cloud Service |
| R-RLumShiny | 0.2.3-lp153.2.10 | \'Shiny\' Applications for the R Package \'Luminescence\' |
| R-rly | 1.7.4-lp153.1.9 | Tools to Create Formal Language Parser |
| R-RM.weights | 2.0-lp153.28.2 | Weighted Rasch Modeling and Extensions using Conditional Max |
| R-RM2 | 0.0-lp153.3.13 | Revenue Management and Pricing Package |
| R-RM2006 | 0.1.1-lp153.2.13 | RiskMetrics 2006 Methodology |
| R-rma.exact | 0.1.0-lp153.5.5 | Exact Confidence Intervals for Random Effects Meta-Analyses |
| R-rmaf | 3.0.1-lp153.2.13 | Refined Moving Average Filter |
| R-Rmagic | 2.0.3-lp153.14.8 | MAGIC - Markov Affinity-Based Graph Imputation of Cells |
| R-rmake | 1.1.0-lp153.18.2 | Makefile Generator for R Analytical Projects |
| R-RMallow | 1.1-lp153.2.13 | Fit Multi-Modal Mallows\' Models to Ranking Data |
| R-rmangal | 2.1.3-lp153.5.4 | \'Mangal\' Client |
| R-rMaps | 0.1.1-1.52 | Interactive Maps from R |
| R-rMaps | 0.1.1-lp153.1.23 | Interactive Maps from R |
| R-rMaps | 0.1.1-1.24 | Interactive Maps from R |
| R-rmargint | 2.0.3-lp153.1.5 | Robust Marginal Integration Procedures |
| R-RmarineHeatWaves | 0.17.0-lp153.21.4 | Detect Marine Heat Waves and Marine Cold Spells |
| R-rmarkdown | 2.1-lp153.1.25 | Dynamic Documents for R |
| R-rmarkdown | 2.1-1.60 | Dynamic Documents for R |
| R-rmarkdown | 2.1-1.28 | Dynamic Documents for R |
| R-rmass2 | 0.0.0.2-lp153.1.5 | Repeated Measures with Attrition: Sample Sizes and Power Lev |
| R-RMAT | 0.2.0-lp153.9.7 | Random Matrix Analysis Toolkit |
| R-rmatio | 0.19.0-lp153.1.4 | Read and Write \'Matlab\' Files |
| R-RMAWGEN | 1.3.7-lp153.2.12 | Multi-Site Auto-Regressive Weather GENerator |
| R-Rmbal | 0.1.0-lp153.3.13 | Estimate Original Hydrocarbon in Place and Reservoir Perform |
| R-RMBC | 0.1.0-lp153.11.4 | Robust Model Based Clustering |
| R-RmdConcord | 0.3-lp153.4.2 | Concordances for \'R Markdown\' |
| R-rmdfiltr | 0.1.3-lp153.21.2 | \'Lua\'-Filters for R Markdown |
| R-rmdformats | 1.0.4-lp153.14.2 | HTML Output Formats and Templates for \'rmarkdown\' Document |
| R-rmdl | 0.1.0-lp153.3.2 | Language to Manage Many Models |
| R-rmdpartials | 0.5.8-lp153.10.5 | Partial \'rmarkdown\' Documents to Prettify your Reports |
| R-rmdplugr | 0.4.1-lp153.21.2 | Plugins for R Markdown Formats |
| R-rmdshower | 2.1.1-lp153.16.5 | \'R\' \'Markdown\' Format for \'shower\' Presentations |
| R-rmdwc | 0.3.0-lp153.4.5 | Count Words, Chars and Non-Whitespace Chars in R Markdown Do |
| R-rMEA | 1.2.2-lp153.1.11 | Synchrony in Motion Energy Analysis (MEA) Time-Series |
| R-RMediation | 1.2.2-lp153.3.2 | Mediation Analysis Confidence Intervals |
| R-rmerec | 0.1.1-lp153.1.4 | MEREC - Method Based on the Removal Effects of Criteria |
| R-rmeta | 3.0-lp153.2.13 | Meta-Analysis |
| R-rmetalog | 1.0.3-lp153.10.5 | The Metalog Distribution |
| R-rMIDAS | 1.0.0-lp153.1.5 | Multiple Imputation with Denoising Autoencoders |
| R-rminer | 1.4.6-lp153.27.5 | Data Mining Classification and Regression Methods |
| R-rmio | 0.4.0-lp153.1.11 | Provides \'mio\' C++11 Header Files |
| R-Rmisc | 1.5.1-lp153.2.7 | Ryan Miscellaneous |
| R-RmixmodCombi | 1.0-lp153.2.13 | Combining Mixture Components for Clustering |
| R-RMixpanel | 0.7.1-lp153.4.8 | API for Mixpanel |
| R-RMixtComp | 4.1.4-lp153.6.2 | Mixture Models with Heterogeneous and (Partially) Missing Da |
| R-RMixtCompUtilities | 4.1.6-lp153.6.2 | Utility Functions for \'MixtComp\' Outputs |
| R-RMKdiscrete | 0.2-lp153.1.9 | Sundry Discrete Probability Distributions |
| R-RMLPCA | 0.0.1-lp153.3.7 | Maximum Likelihood Principal Component Analysis |
| R-rModeling | 0.0.3-lp153.14.12 | A Framework of Cross-Validation |
| R-Rmolt | 1.0.0-lp153.1.8 | Graphic Visualization of the Birds\' Molt |
| R-rmonad | 0.7.0-lp153.12.4 | A Monadic Pipeline System |
| R-Rmonize | 1.1.0-lp153.2.2 | Support Retrospective Harmonization of Data |
| R-rmoo | 0.2.0-lp153.14.2 | Multi-Objective Optimization in R |
| R-RMOPI | 1.1-lp153.2.7 | Risk Management and Optimization for Portfolio Investment |
| R-rMorningStar | 1.0.7-lp153.4.13 | Mutual Funds Performance Metrics |
| R-Rmosek | 1.3.5-lp153.2.13 | The R to MOSEK Optimization Interface |
| R-rmp | 2.2-lp153.1.4 | Rounded Mixture Package |
| R-rmpw | 0.0.5-lp153.2.2 | Causal Mediation Analysis Using Weighting Approach |
| R-rMR | 1.1.0-lp153.2.13 | Importing Data from Loligo Systems Software, Calculating Met |
| R-rms | 4.2_0-lp153.3.24 | Regression Modeling Strategies |
| R-rms | 4.2_0-3.39 | Regression Modeling Strategies |
| R-rms | 4.2_0-3.33 | Regression Modeling Strategies |
| R-rms.gof | 1.0-lp153.2.13 | Root-mean-square goodness-of-fit test for simple null hypoth |
| R-RMSD | 0.1.0-lp153.1.4 | Refined Modified Stahel-Donoho Estimators for Outlier Detect |
| R-RMSDp | 0.1.1-lp153.1.2 | Refined Modified Stahel-Donoho (MSD) Estimators for Outlier |
| R-rmsfact | 0.0.3-lp153.2.13 | Amazing Random Facts About the World\'s Greatest Hacker |
| R-rmsfuns | 1.0.0.1-lp153.13.5 | Quickly View Data Frames in \'Excel\', Build Folder Paths an |
| R-rmstcompsens | 0.1.5-lp153.2.7 | Comparing Restricted Mean Survival Time as Sensitivity Analy |
| R-rmt | 1.0-lp153.1.12 | Restricted Mean Time in Favor of Treatment |
| R-RMT4DS | 0.0.1-lp153.5.2 | Computation of Random Matrix Models |
| R-RMThreshold | 1.1-lp153.2.13 | Signal-Noise Separation in Random Matrices by using Eigenval |
| R-RMTstat | 0.3.1-lp153.1.10 | Distributions, Statistics and Tests Derived from Random Matr |
| R-rmutil | 1.1.10-lp153.1.7 | Utilities for Nonlinear Regression and Repeated Measurements |
| R-rmweather | 0.2.6-lp153.1.2 | Tools to Conduct Meteorological Normalisation and Counterfac |
| R-rmytarget | 2.4.0-lp153.12.2 | Load Data from \'MyTarget API v2 and v3\' |
| R-rmzqc | 0.1.0-lp153.8.5 | Creation, Reading and Validation of \'mzqc\' Files |
| R-rnames | 1.0.1-lp153.2.2 | Recursive Display of Items in Nested Lists |
| R-RNAsmc | 0.8.0-lp153.1.7 | RNA Secondary Structure Module Mining, Comparison and Plotti |
| R-RNAstructureModuleMiner | 0.1.0-lp153.2.13 | RNA Secondary Structure Comparison and Module Mining |
| R-rnaturalearth | 1.0.1-lp153.1.4 | World Map Data from Natural Earth |
| R-rnaturalearthdata | 1.0.0-lp153.1.4 | World Vector Map Data from Natural Earth Used in \'rnaturale |
| R-RnavGraphImageData | 0.0.4-lp153.2.13 | Image Data Used in the Loon Package Demos |
| R-RNaviCell | 0.2-lp153.4.8 | Visualization of High-Throughput Data on Large-Scale Biologi |
| R-rnbp | 0.2.1-lp153.1.12 | Wrapper for the National Bank of Poland API |
| R-RNCEP | 1.0.10-lp153.11.5 | Obtain, Organize, and Visualize NCEP Weather Data |
| R-RND | 1.2-lp153.2.13 | Risk Neutral Density Extraction Package |
| R-RNentropy | 1.2.3-lp153.1.10 | Entropy Based Method for the Detection of Significant Variat |
| R-rneos | 0.4.0-lp153.4.8 | XML-RPC Interface to NEOS |
| R-rnetcarto | 0.2.6-lp153.1.7 | Fast Network Modularity and Roles Computation by Simulated A |
| R-RNetCDF | 1.9.1-lp155.2.5 | Interface to NetCDF Datasets |
| R-RNetCDF | 2.9.2-lp153.2.2 | Interface to \'NetCDF\' Datasets |
| R-RNetCDF | 1.9.1-lp154.2.10 | Interface to NetCDF Datasets |
| R-RNetCDF | 1.9.1-lp153.2.23 | Interface to NetCDF Datasets |
| R-RNetCDF | 1.9.1-2.32 | Interface to NetCDF Datasets |
| R-RNeXML | 2.4.11-lp153.2.2 | Semantically Rich I/O for the \'NeXML\' Format |
| R-RNGforGPD | 1.1.0-lp153.2.13 | Random Number Generation for Generalized Poisson Distributio |
| R-rngSetSeed | 0.3.3-lp153.1.5 | Seeding the Default RNG with a Numeric Vector |
| R-rngtools | 1.5.2-lp153.1.12 | Utility Functions for Working with Random Number Generators |
| R-rngWELL | 0.10.9-lp153.1.7 | Toolbox for WELL Random Number Generators |
| R-rngwell19937 | 0.6.0-lp153.2.13 | Random number generator WELL19937a with 53 or 32 bit output |
| R-RNHANES | 1.1.0-lp153.18.2 | Facilitates Analysis of CDC NHANES Data |
| R-Rnightly | 0.1.0-lp153.8.2 | A Wrapper of the \'JavaScript\' Library \'Nightly\' |
| R-rnmamod | 0.4.0-lp153.2.2 | Bayesian Network Meta-Analysis with Missing Participants |
| R-rNMF | 0.5.0-lp153.7.10 | Robust Nonnegative Matrix Factorization |
| R-rnn | 1.9.0-lp153.1.5 | Recurrent Neural Network |
| R-rnoaa | 1.4.0-lp153.1.5 | \'NOAA\' Weather Data from R |
| R-rnpn | 1.2.8.0-lp153.1.4 | Interface to the National \'Phenology\' Network \'API\' |
| R-rnr | 0.2.1-lp153.4.7 | Rosenbaum and Rubin Sensitivity |
| R-RNRCS | 0.2.5-lp153.9.13 | Download NRCS Data |
| R-Rnumerai | 3.0.1-lp153.4.7 | Interface to the Numerai Machine Learning Tournament API |
| R-Rnvd3 | 1.0.0-lp153.16.2 | An Incomplete Wrapper of the \'nvd3\' JavaScript Library |
| R-roahd | 1.4.3-lp153.20.2 | Robust Analysis of High Dimensional Data |
| R-ROAuth | 0.9.6-lp153.4.8 | R Interface For OAuth |
| R-RobAStRDA | 1.2.1-lp153.1.4 | Interpolation Grids for Packages of the \'RobASt\' - Family |
| R-robber | 0.2.4-lp153.3.3 | Using Block Model to Estimate the Robustness of Ecological N |
| R-robcbi | 1.1.4-lp153.1.5 | Conditionally Unbiased Bounded Influence Estimates |
| R-robcor | 0.1.6.1-lp153.1.8 | Robust Correlations |
| R-robeth | 2.7.8-lp153.1.5 | R Functions for Robust Statistics |
| R-robflreg | 1.2-lp153.1.4 | Robust Functional Linear Regression |
| R-robis | 2.11.3-lp153.13.3 | Ocean Biodiversity Information System (OBIS) Client |
| R-RoBMA | 3.1.0-lp153.2.2 | Robust Bayesian Meta-Analyses |
| R-robmed | 1.0.2-lp153.1.5 | (Robust) Mediation Analysis |
| R-RobMixReg | 1.1.0-lp153.16.7 | Robust Mixture Regression |
| R-robnptests | 1.1.0-lp153.1.7 | Robust Nonparametric Two-Sample Tests for Location/Scale |
| R-Robocoap | 0.1.1-lp153.3.10 | Generation of Dynamic Coappearance Matrices Within Texts |
| R-robomit | 1.0.6-lp153.5.2 | Robustness Checks for Omitted Variable Bias |
| R-robotoolbox | 1.3.2-lp153.5.2 | Client for the \'KoboToolbox\' API |
| R-RobPer | 1.2.3-lp153.1.9 | Robust Periodogram and Periodicity Detection Methods |
| R-robreg3S | 0.3-lp153.16.2 | Three-Step Regression and Inference for Cellwise and Casewis |
| R-RobRex | 1.2.0-lp153.3.13 | Optimally Robust Influence Curves for Regression and Scale |
| R-RobRSVD | 1.0-lp153.2.13 | Robust Regularized Singular Value Decomposition |
| R-RoBSA | 1.0.2-lp153.3.2 | Robust Bayesian Survival Analysis |
| R-robservable | 0.2.2-lp153.13.2 | Import an Observable Notebook as HTML Widget |
| R-RobStatTM | 1.0.8-lp153.1.4 | Robust Statistics: Theory and Methods |
| R-robumeta | 2.1-lp153.1.5 | Robust Variance Meta-Regression |
| R-RobustAFT | 1.4.7-lp153.1.5 | Truncated Maximum Likelihood Fit and Robust Accelerated Fail |
| R-RobustANOVA | 0.3.0-lp153.4.5 | Robust One-Way ANOVA Tests under Heteroscedasticity and Nonn |
| R-robustarima | 0.2.6-lp153.1.13 | Robust ARIMA Modeling |
| R-RobustBayesianCopas | 2.0-lp153.1.12 | Robust Bayesian Copas Selection Model |
| R-RobustBF | 0.2.0-lp153.1.11 | Robust Solution to the Behrens-Fisher Problem |
| R-robustDA | 1.2-lp153.2.13 | Robust Mixture Discriminant Analysis |
| R-robustETM | 1.0-lp153.2.13 | Robust Methods using Exponential Tilt Model |
| R-robustfa | 1.1.0-lp153.1.5 | Object Oriented Solution for Robust Factor Analysis |
| R-RobustLinearReg | 1.2.0-lp153.2.13 | Robust Linear Regressions |
| R-robustlm | 0.1.0-lp153.1.13 | Robust Variable Selection with Exponential Squared Loss |
| R-robustmeta | 1.2.1-lp153.1.4 | Robust Inference for Meta-Analysis with Influential Outlying |
| R-robustMVMR | 0.3.1-lp153.1.12 | Perform the Robust Multivariable Mendelian Randomization Ana |
| R-robustrank | 2024.1.28-lp153.1.4 | Robust Rank-Based Tests |
| R-RobustRankAggreg | 1.2.1-lp153.1.8 | Methods for Robust Rank Aggregation |
| R-robustrao | 1.0.5-lp153.8.4 | An Extended Rao-Stirling Diversity Index to Handle Missing D |
| R-robustsae | 0.1.0-lp153.4.11 | Robust Bayesian Small Area Estimation |
| R-robustsur | 0.0.7-lp153.9.2 | Robust Estimation for Seemingly Unrelated Regression Models |
| R-robustvarComp | 0.1.7-lp153.3.2 | Robust Estimation of Variance Component Models |
| R-robustX | 1.2.7-lp153.1.5 | \'eXtra\' / \'eXperimental\' Functionality for Robust Statis |
| R-robvis | 0.3.0-lp153.16.2 | Visualize the Results of Risk-of-Bias (ROB) Assessments |
| R-ROCaggregator | 1.0.1-lp153.1.12 | Aggregate Multiple ROC Curves into One Global ROC |
| R-rocbc | 3.1.0-lp153.2.2 | Statistical Inference for Box-Cox Based Receiver Operating C |
| R-rocc | 1.3-lp153.3.12 | ROC Based Classification |
| R-roccv | 1.2-lp153.4.7 | ROC for Cross Validation Results |
| R-ROCFTP.MMS | 1.0.0-lp153.4.5 | Perfect Sampling |
| R-ROCit | 2.1.2-lp153.2.2 | Performance Assessment of Binary Classifier with Visualizati |
| R-rock | 0.1.1-lp153.1.13 | Reproducible Open Coding Kit |
| R-ROCket | 1.0.1-lp153.1.13 | Simple and Fast ROC Curves |
| R-rockr | 1.0.0-lp153.6.4 | \'Rock\' R Server Client |
| R-rocNIT | 1.0-lp153.2.13 | Non-Inferiority Test for Paired ROC Curves |
| R-rocnp | 0.1.0-lp153.10.2 | Work with Romanian Personal Numeric Codes PNC / CNP |
| R-ROCnReg | 1.0.9-lp153.2.2 | ROC Curve Inference with and without Covariates |
| R-ROCpsych | 1.3-lp153.4.7 | Compute and Compare Diagnostic Test Statistics Across Groups |
| R-ROCR | 1.0_5-lp153.3.23 | Visualizing the performance of scoring classifiers. |
| R-ROCR | 1.0_5-3.40 | Visualizing the performance of scoring classifiers. |
| R-ROCR | 1.0.11-lp153.3.12 | Visualizing the performance of scoring classifiers |
| R-ROCR | 1.0_5-lp154.3.10 | Visualizing the performance of scoring classifiers. |
| R-ROCR | 1.0_5-lp155.3.5 | Visualizing the performance of scoring classifiers. |
| R-ROCR | 1.0_5-3.24 | Visualizing the performance of scoring classifiers. |
| R-ROCS | 1.3-lp153.17.5 | Receiver Operating Characteristics Surface |
| R-ROCSI | 0.1.0-lp153.2.7 | Receiver Operating Characteristic Based Signature Identifica |
| R-rocsvm.path | 0.1.0-lp153.2.13 | The Entire Solution Paths for ROC-SVM |
| R-ROCwoGS | 1.0-lp153.2.13 | Non-parametric estimation of ROC curves without Gold Standar |
| R-Rodam | 0.1.14-lp153.1.11 | Wrapper Functions for \'ODAM\' (Open Data for Access and Min |
| R-RODBC | 1.3.16-lp154.1.10 | ODBC Database Access |
| R-RODBC | 1.3.16-1.32 | ODBC Database Access |
| R-RODBC | 1.3.23-lp153.1.4 | ODBC Database Access |
| R-RODBC | 1.3.16-lp155.1.5 | ODBC Database Access |
| R-RODBC | 1.3.16-lp153.1.25 | ODBC Database Access |
| R-RODBC | 1.3.16-1.31 | ODBC Database Access |
| R-RODBC-doc | 1.3.16-lp155.1.5 | Documentation for R-RODBC |
| R-RODBC-doc | 1.3.16-1.32 | Documentation for R-RODBC |
| R-RODBC-doc | 1.3.16-lp153.1.25 | Documentation for R-RODBC |
| R-RODBC-doc | 1.3.16-lp154.1.10 | Documentation for R-RODBC |
| R-RODBC-doc | 1.3.16-1.31 | Documentation for R-RODBC |
| R-RODBCDBI | 0.1.1-lp153.1.12 | Provides Access to Databases Through the ODBC Interface |
| R-rodd | 0.2.1-lp153.3.12 | Optimal Discriminating Designs |
| R-rODE | 0.99.6-lp153.2.13 | Ordinary Differential Equation (ODE) Solvers Written in R Us |
| R-rodham | 0.1.1-lp153.3.13 | Fetch Hillary Rodham Clinton\'s Emails |
| R-RODM | 1.1-lp153.1.12 | R interface to Oracle Data Mining |
| R-roger | 1.5.1-lp153.1.5 | Automated Grading of R Scripts |
| R-Rogue | 1.0.0-lp153.1.12 | Identify Rogue Taxa in Sets of Phylogenetic Trees |
| R-ROI | 1.0.1-lp153.1.5 | R Optimization Infrastructure |
| R-ROI.models.globalOptTests | 1.1.1-lp153.4.5 | \'ROI\' Optimization Problems Based on \'globalOptTests\' |
| R-ROI.models.miplib | 1.0.0-lp153.4.5 | \'ROI\' Access to \'MIPLIB\' 2010 Benchmark Instances |
| R-ROI.models.netlib | 1.1.2-lp153.2.5 | \'ROI\' Optimization Problems Based on \'NETLIB-LP\' |
| R-ROI.plugin.alabama | 1.0.2-lp153.1.5 | \'alabama\' Plug-in for the \'R\' Optimization Infrastructur |
| R-ROI.plugin.deoptim | 1.0.2-lp153.1.5 | \'DEoptim\' and \'DEoptimR\' Plugin for the \'R\' Optimizati |
| R-ROI.plugin.ecos | 1.0.2-lp153.1.5 | \'ECOS\' Plugin for the \'R\' Optimization Infrastructure |
| R-ROI.plugin.glpk | 1.0.0-lp153.4.5 | \'ROI\' Plug-in \'GLPK\' |
| R-ROI.plugin.ipop | 1.0.0-lp153.4.5 | \'ipop\' Plug-in for the \'R\' Optimization Interface |
| R-ROI.plugin.lpsolve | 1.0.2-lp153.1.5 | \'lp_solve\' Plugin for the \'R\' Optimization Infrastructur |
| R-ROI.plugin.msbinlp | 1.0.1-lp153.1.5 | \'Multi-Solution\' Binary Linear Problem Plug-in for the \'R |
| R-ROI.plugin.neos | 1.0.2-lp153.2.4 | \'NEOS\' Plug-in for the \'R\' Optimization Interface |
| R-ROI.plugin.quadprog | 1.0.1-lp153.1.5 | \'quadprog\' Plug-in for the \'R\' Optimization Infrastructu |
| R-ROI.plugin.scs | 1.1.2-lp153.1.5 | \'SCS\' Plug-in for the \'R\' Optimization Infrastructure |
| R-roistats | 0.1.1-lp153.12.7 | Convenience Functions for Applying Basic Stats to Sub-Groups |
| R-rolap | 2.3.0-lp153.2.5 | Obtaining Star Databases from Flat Tables |
| R-rollama | 0.1.0-lp153.2.2 | Communicate with \'Ollama\' |
| R-rollbar | 0.1.0-lp153.2.12 | Error Tracking and Logging |
| R-rolldown | 0.1-lp153.22.2 | R Markdown Output Formats for Storytelling |
| R-rollmatch | 2.0.3-lp153.1.4 | Rolling Entry Matching |
| R-roloc | 0.1.2-lp153.1.4 | Convert Colour Specification to Colour Name |
| R-rolocISCCNBS | 0.1-lp153.2.13 | A Colour List and Colour Metric Based on the ISCC-NBS System |
| R-ROlogit | 0.1.2-lp153.2.13 | Fit Rank-Ordered Logit (RO-Logit) Model |
| R-rolr | 1.0.0-lp153.2.13 | Finding Optimal Three-Group Splits Based on a Survival Outco |
| R-RolWinMulCor | 1.2.0-lp153.5.4 | Subroutines to Estimate Rolling Window Multiple Correlation |
| R-RolWinWavCor | 0.4.0-lp153.2.2 | Estimate Rolling Window Wavelet Correlation Between Two Time |
| R-rolypoly | 0.1.0-lp153.9.12 | Identifying Trait-Relevant Functional Annotations |
| R-ROMDB | 0.1.0-lp153.11.2 | Get \'OMDB\' API Multiple Information |
| R-romic | 1.1.3-lp153.3.2 | R for High-Dimensional Omic Data |
| R-ROMIplot | 1.0-lp153.1.13 | Plots Surfaces of Rates of Mortality Improvement |
| R-RonFHIR | 0.4.0-lp153.7.2 | Read and Search Interface to the \'HL7 FHIR\' REST API |
| R-Rook | 1.2-lp153.1.7 | HTTP Web Server for R |
| R-ROOPSD | 0.3.9-lp153.1.5 | R Object Oriented Programming for Statistical Distribution |
| R-roots | 1.0-lp153.7.4 | Reconstructing Ordered Ontogenic Trajectories |
| R-RootsExtremaInflections | 1.2.1-lp153.2.13 | Finds Roots, Extrema and Inflection Points of a Curve |
| R-rootSolve | 1.8.2.4-lp153.1.5 | Nonlinear Root Finding, Equilibrium and Steady-State Analysi |
| R-ROP | 1.0-lp153.3.12 | Regression Optimized: Numerical Approach for Multivariate Cl |
| R-rope | 1.0-lp153.2.13 | Model Selection with FDR Control of Selected Variables |
| R-ropenaq | 0.2.11-lp153.1.13 | Accesses Air Quality Data from the Open Data Platform OpenAQ |
| R-ropenblas | 0.3.0-lp153.4.4 | Download, Compile and Link \'OpenBLAS\' Library with R |
| R-ropendata | 0.1.0-lp153.2.12 | Query and Download \'Rapid7\' \'Cybersecurity\' Data Sets |
| R-ROpenDota | 0.1.2-lp153.4.8 | Access OpenDota Services in R |
| R-ROpenFIGI | 0.2.8-lp153.2.12 | R Interface to OpenFIGI |
| R-ropensecretsapi | 1.0.1-lp153.4.8 | R Package for the OpenSecrets.org API |
| R-ROpenWeatherMap | 1.1-lp153.4.8 | R Interface to OpenWeatherMap API |
| R-roperators | 1.3.14-lp153.1.5 | Additional Operators to Help you Write Cleaner R Code |
| R-ROptEstOld | 1.2.0-lp153.3.13 | Optimally Robust Estimation - Old Version |
| R-ROptimus | 3.0.0-lp153.1.7 | A Parallel General-Purpose Adaptive Optimisation Engine |
| R-roptions | 1.0.3-lp153.30.2 | Option Strategies and Valuation |
| R-ROptRegTS | 1.2.0-lp153.3.13 | Optimally Robust Estimation for Regression-Type Models |
| R-rorcid | 0.7.0-lp153.8.5 | Interface to the \'Orcid.org\' API |
| R-rorqual.morpho | 0.1.1-lp153.13.7 | Morphological Allometry of Rorquals |
| R-rorutadis | 0.4.2-lp153.7.11 | Robust Ordinal Regression UTADIS |
| R-ROSE | 0.0.4-lp153.1.12 | Random Over-Sampling Examples |
| R-Rosenbrock | 0.1.0-lp153.2.13 | Extended Rosenbrock-Type Densities for Markov Chain Monte Ca |
| R-rosetteApi | 1.14.4-lp153.2.12 | \'Rosette\' API |
| R-rosm | 0.3.0-lp153.2.4 | Plot Raster Map Tiles from Open Street Map and Other Sources |
| R-rospca | 1.1.0-lp153.2.2 | Robust Sparse PCA using the ROSPCA Algorithm |
| R-rosv | 0.5.1-lp153.1.4 | Client to Access and Operate on the \'Open Source Vulnerabil |
| R-rotationForest | 0.1.3-lp153.2.13 | Fit and Deploy Rotation Forest Models |
| R-rotatogram | 0.1.3-lp153.1.5 | A Non-Axis-Dominant Association Plotting Tool |
| R-Rothermel | 1.2-lp153.14.11 | Rothermel fire spread model for R |
| R-rotl | 3.1.0-lp153.2.4 | Interface to the \'Open Tree of Life\' API |
| R-rotor | 0.3.7-lp153.1.8 | Log Rotation and Conditional Backups |
| R-roughnet | 1.0.1-lp153.16.2 | Visualize Networks using \'roughjs\' |
| R-RoughSetKnowledgeReduction | 0.1-lp153.2.13 | Simplification of Decision Tables using Rough Sets |
| R-round | 0.21.0.2-lp153.1.4 | Rounding to Decimal Digits |
| R-RoundAndRound | 0.0.1-lp153.17.5 | Plot Objects Moving in Orbits |
| R-roundhouse | 0.0.2-lp153.2.13 | Random Chuck Norris Facts |
| R-roundyh | 0.1.0-lp153.1.5 | Round Dataframe |
| R-Routliers | 0.0.0.3-lp153.14.5 | Robust Outliers Detection |
| R-routr | 0.4.1-lp153.4.2 | A Simple Router for HTTP and WebSocket Requests |
| R-rowr | 1.1.3-1.25 | Row-Based Functions for R Objects |
| R-rowr | 1.1.3-lp155.1.5 | Row-Based Functions for R Objects |
| R-rowr | 1.1.3-lp154.1.10 | Row-Based Functions for R Objects |
| R-rowr | 1.1.3-1.38 | Row-Based Functions for R Objects |
| R-rowr | 1.1.3-lp153.1.23 | Row-Based Functions for R Objects |
| R-roxygen2 | 7.1.0-1.31 | In-Line Documentation for R |
| R-roxygen2 | 7.1.0-lp153.1.23 | In-Line Documentation for R |
| R-roxygen2 | 7.1.0-1.37 | In-Line Documentation for R |
| R-royston | 1.2-lp153.2.13 | Royston\'s H Test: Multivariate Normality Test |
| R-rPackedBar | 0.2.2-lp153.25.2 | Packed Bar Charts with \'plotly\' |
| R-Rpadrino | 0.0.5-lp153.5.2 | Interact with the \'PADRINO\' IPM Database |
| R-rPAex | 1.0.5-lp153.2.4 | Automatic Detection of Experimental Unit in Precision Agricu |
| R-rpaleoclim | 1.0.1-lp153.2.4 | Download Paleoclimate Data from \'PaleoClim\' |
| R-rpanel | 1.1.5.2-lp153.1.7 | Simple Interactive Controls for R using the \'tcltk\' Packag |
| R-rpart | 4.1.23-50.1 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-lp154.192.1 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-56.163 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-lp155.192.1 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-lp153.192.1 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-194.138 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-lp153.1.9 | Recursive Partitioning and Regression Trees |
| R-rpart | 4.1.23-50.0.2.1.sr20240605 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-50.1 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-50.1 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-192.1 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-56.163 | Package provides recommended R-rpart |
| R-rpart | 4.1.23-194.138 | Package provides recommended R-rpart |
| R-rpart.plot | 1.4_4-lp154.2.10 | Plot rpart models. An enhanced version of plot.rpart. |
| R-rpart.plot | 1.4_4-lp153.2.23 | Plot rpart models. An enhanced version of plot.rpart. |
| R-rpart.plot | 1.4_4-2.38 | Plot rpart models. An enhanced version of plot.rpart. |
| R-rpart.plot | 1.4_4-2.25 | Plot rpart models. An enhanced version of plot.rpart. |
| R-rpart.plot | 1.4_4-lp155.2.5 | Plot rpart models. An enhanced version of plot.rpart. |
| R-rpart.plot | 3.1.2-lp153.1.3 | Plot \'rpart\' Models: An Enhanced Version of \'plot.rpart\' |
| R-rpart.utils | 0.5-lp153.2.13 | Tools for parsing and manipulating rpart objects, including |
| R-rpartitions | 0.1-lp153.2.13 | Code for integer partitioning |
| R-rpartScore | 1.0.2-lp153.1.9 | Classification trees for ordinal responses |
| R-rpatrec | 1.0.1-lp153.4.11 | Recognising Visual Charting Patterns in Time Series Data |
| R-rpca | 0.2.3-lp153.2.13 | RobustPCA: Decompose a Matrix into Low-Rank and Sparse Compo |
| R-RPCLR | 1.0-lp153.2.13 | RPCLR (Random-Penalized Conditional Logistic Regression) |
| R-Rpdb | 2.3-lp153.16.7 | Read, Write, Visualize and Manipulate PDB Files |
| R-rpdo | 0.3.2-lp153.1.5 | Pacific Decadal Oscillation Index Data |
| R-RPDTest | 0.0.2-lp153.2.2 | A New Type of Test Statistic and Method for Multinomial Good |
| R-RpeakChrom | 1.1.0-lp153.14.7 | Tools for Chromatographic Column Characterization and Modell |
| R-RPEClust | 0.1.0-lp153.2.12 | Random Projection Ensemble Clustering Algorithm |
| R-RPEIF | 1.2.4-lp153.1.11 | Computation and Plots of Influence Functions for Risk and Pe |
| R-RPEnsemble | 0.5-lp153.1.13 | Random Projection Ensemble Classification |
| R-RPESE | 1.2.5-lp153.1.8 | Estimates of Standard Errors for Risk and Performance Measur |
| R-RPEXE.RPEXT | 0.0.2-lp153.2.13 | Reduced Piecewise Exponential Estimate/Test Software |
| R-Rphylip | 0.1.23-lp153.2.13 | An R interface for PHYLIP |
| R-rpicosat | 1.0.1-lp153.2.13 | R Bindings for the \'PicoSAT\' SAT Solver |
| R-rpinterest | 0.3.1-lp153.3.12 | Access Pinterest API |
| R-rpivotTable | 0.3.0-lp153.14.2 | Build Powerful Pivot Tables and Dynamically Slice & Dice you |
| R-rplos | 1.0.0-lp153.13.7 | Interface to the Search API for \'PLoS\' Journals |
| R-rplotengine | 1.0.9-lp153.1.5 | R as a Plotting Engine |
| R-rpls | 0.6.0-lp153.2.13 | Robust Partial Least Squares |
| R-RPMG | 2.2.7-lp153.1.5 | Graphical User Interface (GUI) for interactive R analysis se |
| R-RPMM | 1.25-lp153.2.13 | Recursively Partitioned Mixture Model |
| R-rpnf | 1.0.5-lp153.2.13 | Point and Figure Package |
| R-Rpoet | 1.1.0-lp153.2.13 | \'PoetryDB\' API Wrapper |
| R-Rpolyhedra | 0.5.4-lp153.6.5 | Polyhedra Database |
| R-rportfolio | 0.0.3-lp153.2.13 | Portfolio Theory |
| R-rportfolios | 1.0.1-lp153.2.13 | Random Portfolio Generation |
| R-rPowerSampleSize | 1.0.2-lp153.2.13 | Sample Size Computations Controlling the Type-II Generalized |
| R-RPPairwiseDesign | 1.0-lp153.2.13 | Resolvable partially pairwise balanced design and Space-fill |
| R-rppo | 1.0.2-lp153.1.12 | Access the Global Plant Phenology Data Portal |
| R-rPraat | 1.3.2.1-lp153.19.2 | Interface to Praat |
| R-rpredictit | 0.1.0-lp153.13.2 | Interface to the \'PredictIt\' API |
| R-RPresto | 1.4.6-lp153.3.2 | DBI Connector to Presto |
| R-rprev | 1.0.5-lp153.12.2 | Estimating Disease Prevalence from Registry Data |
| R-rprime | 0.1.2-lp153.7.2 | Functions for Working with \'Eprime\' Text Files |
| R-rprintf | 0.2.1-lp153.6.2 | Adaptive Builder for Formatted Strings |
| R-RProbSup | 3.0-lp153.2.13 | Calculates Probability of Superiority |
| R-Rprofet | 3.1.1-lp153.3.2 | WOE Transformation and Scorecard Builder |
| R-rprofile | 0.4.0-lp153.1.4 | Load Both User-Global and Project-Specific R Profile Configu |
| R-rprojroot | 2.0.4-lp153.1.4 | Finding Files in Project Subdirectories |
| R-rprojroot | 1.2-1.99 | Finding Files in Project Subdirectories |
| R-rprojroot | 1.2-1.29 | Finding Files in Project Subdirectories |
| R-rprojroot | 1.2-lp153.1.26 | Finding Files in Project Subdirectories |
| R-rprojtree | 1.0.0-lp153.5.7 | Create Folders and Files Structure for Data Science Projects |
| R-RPS | 1.0.1-lp153.12.11 | Resistant Procrustes Superimposition |
| R-RPscoring | 0.1.0-lp153.2.13 | Relative Placement Algorithm |
| R-rpsftm | 1.2.9-lp153.2.2 | Rank Preserving Structural Failure Time Models |
| R-rpst | 1.0.0-lp153.2.13 | Recursive Partitioning Survival Trees |
| R-rpsychi | 0.8-lp153.2.13 | Statistics for psychiatric research |
| R-RPublica | 0.1.3-lp153.2.12 | ProPublica API Client |
| R-rpubmed | 0.1-1.47 | rpubmed |
| R-rpubmed | 0.1-1.24 | rpubmed |
| R-rpubmed | 0.1-lp153.1.23 | rpubmed |
| R-rpubs | 0.2.2-lp153.11.7 | Extract Code Block from Rpubs Article |
| R-RPushbullet | 0.3.4-lp153.1.13 | R Interface to the Pushbullet Messaging Service |
| R-rpyANTs | 0.0.3-lp153.3.2 | An Alternative Advanced Normalization Tools (\'ANTs\') |
| R-RPyGeo | 1.0.0-lp153.25.2 | ArcGIS Geoprocessing via Python |
| R-rpymat | 0.1.7-lp153.3.2 | Easy to Configure an Isolated \'Python\' Environment |
| R-rQCC | 2.22.12-lp153.2.7 | Robust Quality Control Chart |
| R-rqdatatable | 1.3.3-lp153.1.5 | \'rquery\' for \'data.table\' |
| R-RQEntangle | 0.1.3-lp153.2.13 | Quantum Entanglement of Bipartite System |
| R-rquery | 1.4.99-lp153.1.5 | Relational Query Generator for Data Manipulation at Scale |
| R-Rramas | 0.1.6-lp153.2.13 | Matrix Population Models |
| R-rRAP | 1.1-lp153.2.13 | Real-Time Adaptive Penalization for Streaming Lasso Models |
| R-rrat | 1.0.0-lp153.4.11 | Robust Regression with Asymmetric Heavy-Tail Noise Distribut |
| R-RRate | 1.0-lp153.2.13 | Estimating Replication Rate for Genome-Wide Association Stud |
| R-rrBLUP | 4.6.3-lp153.1.4 | Ridge Regression and Other Kernels for Genomic Selection |
| R-RRBoost | 0.1-lp153.11.11 | A Robust Boosting Algorithm |
| R-rrcov3way | 0.5.0-lp153.1.4 | Robust Methods for Multiway Data Analysis, Applicable also f |
| R-Rrdap | 1.0.7-lp153.2.2 | RDAP Server Querying |
| R-Rrdrand | 0.1.16-lp153.2.13 | \'DRNG\' on Intel CPUs with the \'RdRand\' Instruction for R |
| R-rredis | 1.7.0-lp153.2.13 | \"Redis\" Key/Value Database Client |
| R-rredlist | 0.4.0-1.24 | \'IUCN\' Red List Client |
| R-rredlist | 0.4.0-lp154.1.10 | \'IUCN\' Red List Client |
| R-rredlist | 0.4.0-lp153.1.23 | \'IUCN\' Red List Client |
| R-rredlist | 0.4.0-1.57 | \'IUCN\' Red List Client |
| R-rredlist | 0.7.1-lp153.2.7 | \'IUCN\' Red List Client |
| R-rredlist | 0.4.0-lp155.1.5 | \'IUCN\' Red List Client |
| R-rrefine | 2.1.0-lp153.3.5 | r Client for OpenRefine API |
| R-rreg | 0.2.1-lp153.14.5 | Visualization for Norwegian Health Quality Registries |
| R-RRF | 1.9.4-lp153.1.9 | Regularized Random Forest |
| R-rrlda | 1.1-lp153.2.12 | Robust Regularized Linear Discriminant Analysis |
| R-RRMLRfMC | 0.4.0-lp153.1.12 | Reduced-Rank Multinomial Logistic Regression for Markov Chai |
| R-rrnni | 0.1.1-lp153.1.5 | Manipulate with RNNI Tree Space |
| R-rroad | 0.0.5-lp153.2.13 | Road Condition Analysis |
| R-rRofex | 2.0.6-lp153.5.8 | Interface to \'Matba Rofex\' Trading API |
| R-rromeo | 0.1.1-lp153.3.12 | Access Publisher Copyright & Self-Archiving Policies via the |
| R-RRRR | 1.1.1-lp153.1.5 | Online Robust Reduced-Rank Regression Estimation |
| R-RRTCS | 0.0.4-lp153.1.13 | Randomized Response Techniques for Complex Surveys |
| R-RSA | 0.10.6-lp153.2.7 | Response Surface Analysis |
| R-RSADBE | 1.0-lp153.2.13 | Data related to the book \"R Statistical Application Develop |
| R-rsae | 0.3-lp153.1.4 | Robust Small Area Estimation |
| R-Rsagacmd | 0.4.2-lp153.2.4 | Linking R with the Open-Source \'SAGA-GIS\' Software |
| R-RSAlgaeR | 1.0.0-lp153.16.7 | Builds Empirical Remote Sensing Models of Water Quality Vari |
| R-rsample | 1.2.1-lp153.2.2 | General Resampling Infrastructure |
| R-Rsampling | 0.1.1-lp153.2.13 | Ports the Workflow of \"Resampling Stats\" Add-in to R |
| R-RSarules | 1.0-lp153.3.11 | Random Sampling Association Rules from a Transaction Dataset |
| R-RSauceLabs | 0.1.6-lp153.4.4 | R Wrapper for \'SauceLabs\' REST API |
| R-RSBJson | 1.1.2-lp153.2.13 | Handle R Requests from R Service Bus Applications with JSON |
| R-rsbp | 0.1.0-lp153.18.7 | Part Information from the Registry of Standard Biological Pa |
| R-RSC | 2.0.4-lp153.1.5 | Robust and Sparse Correlation Matrix |
| R-rSCA | 3.1-lp153.2.13 | An R Package for Stepwise Cluster Analysis |
| R-rscc | 0.2.1-lp153.6.4 | R Source Code Similarity Evaluation by Variable/Function Nam |
| R-rscimark | 1.0-lp153.2.13 | SciMark 2.0 Benchmark for Scientific and Numerical Computing |
| R-Rsconctdply | 0.1.3-lp153.16.2 | Deploys Multiple \'Shiny\' Apps using Configuration File |
| R-rsconnect | 0.8.12-4.25 | Deployment Interface for R Markdown Documents and Shiny Appl |
| R-rsconnect | 0.8.12-lp153.4.23 | Deployment Interface for R Markdown Documents and Shiny Appl |
| R-rsconnect | 0.8.12-4.33 | Deployment Interface for R Markdown Documents and Shiny Appl |
| R-rsconnect | 1.3.1-lp153.1.2 | Deploy Docs, Apps, and APIs to \'Posit Connect\', \'shinyapp |
| R-rscontract | 0.1.2-lp153.2.13 | Generic implementation of the \'RStudio\' connections contra |
| R-rscopus | 0.6.6-lp153.16.2 | Scopus Database \'API\' Interface |
| R-rsdepth | 0.1.22-lp153.1.9 | Ray Shooting Depth (i.e. RS Depth) Functions for Bivariate A |
| R-rSDI | 0.2.1-lp153.2.2 | Spatial Dispersion Index (SDI) Family of Metrics for Spatial |
| R-rsdmx | 0.6.3-lp153.1.5 | Tools for Reading SDMX Data and Metadata |
| R-rsdNE | 1.1.0-lp153.1.7 | Response Surface Designs with Neighbour Effects (rsdNE) |
| R-RSE | 1.3-lp153.2.13 | Number of Newly Discovered Rare Species Estimation |
| R-rSEA | 2.1.2-lp153.1.2 | Simultaneous Enrichment Analysis |
| R-rseedcalc | 1.3-lp153.2.13 | Estimating the Proportion of Genetically Modified Seeds in S |
| R-RSelenium | 1.7.9-lp153.2.4 | R Bindings for \'Selenium WebDriver\' |
| R-rsem | 0.5.1-lp153.1.5 | Robust Structural Equation Modeling with Missing Data and Au |
| R-Rserve | 1.8.13-lp153.1.4 | Binary R server |
| R-Rserve | 1.7_3-3.32 | Binary R server |
| R-Rserve | 1.7_3-lp154.3.10 | Binary R server |
| R-Rserve | 1.7_3-lp155.3.5 | Binary R server |
| R-Rserve | 1.7_3-lp153.3.23 | Binary R server |
| R-Rserve | 1.7_3-3.38 | Binary R server |
| R-rsetse | 0.5.0-lp153.11.4 | Strain Elevation Tension Spring Embedding |
| R-rsf | 0.3.0-lp153.12.2 | Report of Statistical Findings in \'bookdown\' |
| R-rSFA | 1.5-lp153.1.10 | Slow Feature Analysis |
| R-Rsfar | 0.0.1-lp153.10.4 | Seasonal Functional Autoregressive Models |
| R-Rsgf | 1.0.0-lp153.8.2 | SGF (Smart Game File) File Format Import |
| R-RSGHB | 1.2.2-lp153.4.11 | Functions for Hierarchical Bayesian Estimation: A Flexible A |
| R-rSHAPE | 0.3.2-lp153.12.4 | Simulated Haploid Asexual Population Evolution |
| R-rshift | 2.1.1-lp153.6.7 | Paleoecology Functions for Regime Shift Analysis |
| R-RSiena | 1.4.7-lp153.1.4 | Siena - Simulation Investigation for Empirical Network Analy |
| R-RsimMosaic | 1.0.3-lp153.10.5 | R Simple Image Mosaic Creation Library |
| R-rsimsum | 0.13.0-lp153.2.2 | Analysis of Simulation Studies Including Monte Carlo Error |
| R-RSIP | 1.0.0-lp153.3.8 | Remote Sensing and Image Processing |
| R-RSiteCatalyst | 1.4.16-lp153.6.7 | R Client for Adobe Analytics API V1.4 |
| R-RSizeBiased | 0.1.0-lp153.1.13 | Hypothesis Testing Based on R-Size Biased Samples |
| R-RSKC | 2.4.2-lp153.2.13 | Robust Sparse K-Means |
| R-rskey | 0.4.4-lp153.2.13 | Create Custom \'Rstudio\' Keyboard Shortcuts |
| R-rsleep | 1.0.12-lp153.1.3 | Analysis of Sleep Data |
| R-rslp | 0.2.0-lp153.6.2 | A Stemming Algorithm for the Portuguese Language |
| R-rslurm | 0.6.2-lp153.1.7 | Submit R Calculations to a \'Slurm\' Cluster |
| R-rsm | 2.07-lp155.1.5 | Response-surface analysis |
| R-rsm | 2.10.5-lp153.1.2 | Response-surface analysis |
| R-rsm | 2.07-lp154.1.10 | Response-surface analysis |
| R-rsm | 2.07-lp153.1.25 | Response-surface analysis |
| R-rsm | 2.07-1.26 | Response-surface analysis |
| R-rsm | 2.07-1.38 | Response-surface analysis |
| R-RSmallTelescopes | 1.0.4-lp153.1.13 | Empirical Small Telescopes Analysis |
| R-RSmartlyIO | 0.1.3-lp153.4.8 | Loading Facebook and Instagram Advertising Data from \'Smart |
| R-rsmatch | 0.2.1-lp153.1.4 | Matching Methods for Time-Varying Observational Studies |
| R-rsmatrix | 0.2.8-lp153.1.4 | Matrices for Repeat-Sales Price Indexes |
| R-Rsmlx | 2024.1.0-lp153.1.2 | R Speaks \'Monolix\' |
| R-rsnell | 0.1-lp153.2.2 | Snell Scoring |
| R-rsnps | 0.6.0-lp153.2.5 | Get \'SNP\' (\'Single-Nucleotide\' \'Polymorphism\') Data on |
| R-RSocrata | 1.7.15.1-lp153.1.5 | Download or Upload \'Socrata\' Data Sets |
| R-rsofun | 4.4-lp153.2.4 | The P-Model and BiomeE Modelling Framework |
| R-rsoi | 0.5.6-lp153.1.4 | Import Various Northern and Southern Hemisphere Climate Indi |
| R-Rsolnp | 1.16-lp153.2.13 | General Non-Linear Optimization |
| R-rspa | 0.2.8-lp153.2.7 | Adapt Numerical Records to Fit (in)Equality Restrictions |
| R-rSPARCS | 0.1.1-lp153.1.4 | Sites, Population, and Records Cleaning Skills |
| R-Rspc | 1.2.2-lp153.2.13 | Nelson Rules for Control Charts |
| R-rSPDE | 2.3.3-lp153.2.2 | Rational Approximations of Fractional Stochastic Partial Dif |
| R-RSpincalc | 1.0.2-lp153.2.13 | Conversion Between Attitude Representations of DCM, Euler An |
| R-Rspotify | 0.1.2-lp153.15.7 | Access to Spotify API |
| R-rsppfp | 1.0.4-lp153.17.4 | R\'s Shortest Path Problem with Forbidden Subpaths |
| R-rsprite2 | 0.2.1-lp153.1.5 | Identify Distributions that Match Reported Sample Parameters |
| R-RSPS | 1.0-lp153.2.13 | RNA-Seq Power Simulation |
| R-RSQL | 0.2.2-lp153.1.5 | Database Agnostic Package to Generate and Process \'SQL\' Qu |
| R-RSQLite | 2.0-lp155.3.5 | SQLite interface for R |
| R-RSQLite | 2.0-3.75 | SQLite interface for R |
| R-RSQLite | 2.0-lp154.3.10 | SQLite interface for R |
| R-RSQLite | 2.0-lp153.3.23 | SQLite interface for R |
| R-RSQLite | 2.0-3.30 | SQLite interface for R |
| R-RSqlParser | 1.5-lp153.7.2 | Parse \'SQL\' Statements |
| R-rSQM | 1.3.14-lp153.3.11 | Statistical Downscaling Toolkit for Climate Change Scenario |
| R-RSSampling | 1.0-lp153.2.13 | Ranked Set Sampling |
| R-RsSimulx | 2024.1-lp153.1.2 | Extension of \'lixoftConnectors\' for \'Simulx\' |
| R-RSSOP | 1.1-lp153.2.13 | Simulation of Supply Reservoir Systems using Standard Operat |
| R-rstack | 1.0.1-lp153.1.5 | Stack Data Type as an \'R6\' Class |
| R-rstackdeque | 1.1.1-lp153.2.13 | Persistent Fast Amortized Stack and Queue Data Structures |
| R-rstantools | 1.5.1-lp154.1.10 | Tools for Developing R Packages Interfacing with \'Stan\' |
| R-rstantools | 1.5.1-1.38 | Tools for Developing R Packages Interfacing with \'Stan\' |
| R-rstantools | 1.5.1-1.25 | Tools for Developing R Packages Interfacing with \'Stan\' |
| R-rstantools | 1.5.1-lp153.1.23 | Tools for Developing R Packages Interfacing with \'Stan\' |
| R-rstantools | 1.5.1-lp155.1.5 | Tools for Developing R Packages Interfacing with \'Stan\' |
| R-rstantools | 2.4.0-lp153.1.4 | Tools for Developing R Packages Interfacing with \'Stan\' |
| R-RStata | 1.1.1-lp153.2.13 | A Bit of Glue Between R and Stata |
| R-rstatscn | 1.1.3-lp153.2.12 | R Interface for China National Data |
| R-Rstg | 0.0.1-lp153.4.5 | STG : Feature Selection using STochastic Gates |
| R-rstiefel | 1.0.1-lp153.1.12 | Random Orthonormal Matrix Generation and Optimization on the |
| R-RStorm | 1.0-lp153.3.7 | Simulate and Develop Streaming Processing |
| R-rstream | 1.3.7-lp153.1.8 | Streams of Random Numbers |
| R-RStripe | 0.1-lp153.4.8 | A Convenience Interface for the Stripe Payment API |
| R-rstudio.prefs | 0.1.9-lp153.8.4 | Set \'RStudio\' Preferences |
| R-rstudioapi | 0.16.0-lp153.2.2 | Safely Access the RStudio API |
| R-rstudioapi | 0.11-lp153.1.28 | Safely Access the RStudio API |
| R-rstudioapi | 0.11-lp155.1.5 | Safely Access the RStudio API |
| R-rstudioapi | 0.11-1.26 | Safely Access the RStudio API |
| R-rstudioapi | 0.11-lp154.1.10 | Safely Access the RStudio API |
| R-rstudioapi | 0.11-1.30 | Safely Access the RStudio API |
| R-rstyles | 0.4.0-lp153.1.12 | Generating Simulated Data Mimicking Response Styles to Surve |
| R-rsurface | 1.1.0-lp153.30.2 | Design of Rotatable Central Composite Experiments and Respon |
| R-rsurfer | 0.2-lp153.4.10 | Manipulating \'Freesurfer\' Generated Data |
| R-Rsurrogate | 3.2-lp153.1.4 | Robust Estimation of the Proportion of Treatment Effect Expl |
| R-rsurv | 0.0.1-lp153.1.2 | Random Generation of Survival Data |
| R-RSurvey | 0.9.3-lp153.15.7 | Geographic Information System Application |
| R-rsvd | 1.0.2-lp154.1.10 | Randomized Singular Value Decomposition |
| R-rsvd | 1.0.2-1.25 | Randomized Singular Value Decomposition |
| R-rsvd | 1.0.2-lp155.1.5 | Randomized Singular Value Decomposition |
| R-rsvd | 1.0.5-lp153.1.12 | Randomized Singular Value Decomposition |
| R-rsvd | 1.0.2-1.27 | Randomized Singular Value Decomposition |
| R-RSvgDevice | 0.6.4.4-lp153.2.13 | An R SVG graphics device. |
| R-RSVGTipsDevice | 1.0.7-lp153.2.13 | An R SVG graphics device with dynamic tips and hyperlinks |
| R-RSwissMaps | 0.1.0.1-lp153.11.11 | Plot and Save Customised Swiss Maps |
| R-rsyntax | 0.1.4-lp153.7.4 | Extract Semantic Relations from Text by Querying and Reshapi |
| R-rsyslog | 1.0.3-lp153.1.5 | Interface to the \'syslog\' System Logger |
| R-rt | 1.1.0-lp153.5.2 | Interface to the \'Request Tracker\' API |
| R-rt.test | 1.18.7.9-lp153.2.13 | Robustified t-Test |
| R-rt3 | 0.1.2-lp153.2.13 | Tic-Tac-Toe Package for R |
| R-rTableICC | 1.0.9-lp153.1.5 | Random Generation of Contingency Tables |
| R-Rtapas | 1.2-lp155.2.1 | Random Tanglegram Partitions |
| R-Rtapas | 1.2-lp154.2.1 | Random Tanglegram Partitions |
| R-Rtapas | 1.2-lp153.2.1 | Random Tanglegram Partitions |
| R-rtape | 2.2-lp153.2.13 | Manage and manipulate large collections of R objects stored |
| R-Rtauchen | 1.0-lp153.2.13 | Discretization of AR(1) Processes |
| R-RTaxometrics | 3.2.1-lp153.1.5 | Taxometric Analysis |
| R-RTConnect | 0.1.4-lp153.2.13 | Tools for analyzing sales report files of iTunes Connect. |
| R-rTCRBCRr | 0.1.1-lp153.6.2 | Repertoire Analysis of the Detected Clonotype |
| R-RTD | 0.4.1-lp153.14.5 | Simple TD API Client |
| R-RtD3 | 0.0.1-lp153.11.5 | Rt Visualization in D3 |
| R-RTDE | 0.2.1-lp153.2.13 | Robust Tail Dependence Estimation |
| R-rtematres | 0.2-lp153.5.7 | The rtematres API package |
| R-rtemps | 0.8.0-lp153.28.2 | R Templates for Reproducible Data Analyses |
| R-rTensor | 1.4.8-lp153.1.12 | Tools for Tensor Analysis and Decomposition |
| R-rTensor2 | 2.0.0-lp153.2.2 | MultiLinear Algebra |
| R-rTephra | 0.1-lp153.2.13 | Tephra Transport Modeling |
| R-rtern | 0.1.2-lp153.2.5 | A Ternary Conditional Operator for R |
| R-RTextTools | 1.4.3-lp153.12.2 | Automatic Text Classification via Supervised Learning |
| R-RTextureMetrics | 1.1-lp153.2.13 | Functions for calculation of texture metrics for Grey Level |
| R-rtf | 0.4.14.1-lp153.2.13 | Rich Text Format (RTF) Output |
| R-RTFA | 0.1.0-lp153.1.5 | Robust Factor Analysis for Tensor Time Series |
| R-rtgstat | 0.3.2-lp153.6.2 | Client for \'TGStat API\' |
| R-Rthingsboard | 0.2.7-lp153.7.7 | \'ThingsBoard\' API |
| R-rticles | 0.27-lp153.2.2 | Article Formats for R Markdown |
| R-rticulate | 1.7.3-lp153.7.2 | Ultrasound Tongue Imaging |
| R-rtiddlywiki | 0.1.0-lp153.12.2 | R Interface for \'TiddlyWiki\' |
| R-rtiff | 1.4.5-lp155.2.5 | A tiff reader for R |
| R-rtiff | 1.4.5-lp154.2.10 | A tiff reader for R |
| R-rtiff | 1.4.5-lp153.2.23 | A tiff reader for R |
| R-rtiff | 1.4.5-2.31 | A tiff reader for R |
| R-rtiff | 1.4.5-2.38 | A tiff reader for R |
| R-rtika | 2.7.0-lp153.1.5 | R Interface to \'Apache Tika\' |
| R-rtimicropem | 1.4.0-lp153.7.12 | Supports the Analysis of RTI MicroPEM Output Files |
| R-rtip | 1.1.1-lp153.14.7 | Inequality, Welfare and Poverty Indices and Curves using the |
| R-rtist | 1.0.0-lp153.2.13 | A Color Palette Generator |
| R-rtlr | 0.1.0-lp153.2.2 | Print Right-to-Left Languages Correctly |
| R-rtmpt | 2.0.1-lp153.2.2 | Fitting (Exponential/Diffusion) RT-MPT Models |
| R-rtms | 0.2.0-lp153.1.5 | R Toolkit for Mass Spectrometry |
| R-Rtnmin | 2016.7.7-lp153.2.13 | Truncated Newton Function Minimization with Bounds Constrain |
| R-RTOMO | 1.1.6-lp153.8.7 | Visualization for Seismic Tomography |
| R-rtoot | 0.3.4-lp153.1.4 | Collecting and Analyzing Mastodon Data |
| R-rTorch | 0.4.2-lp153.7.5 | R Bindings to \'PyTorch\' |
| R-rTPC | 1.0.4-lp153.1.5 | Fitting and Analysing Thermal Performance Curves |
| R-Rtrack | 2.0.3-lp153.5.2 | Spatial Navigation Strategy Analysis |
| R-rtrends | 0.1.0-lp153.17.2 | Analyze Download Logs from the CRAN RStudio Mirror |
| R-rTRIPLEXCWFlux | 0.2.0-lp153.1.7 | Carbon-Water Coupled Model |
| R-rtry | 1.1.0-lp153.2.2 | Preprocessing Plant Trait Data |
| R-rts | 1.1.14-lp153.1.4 | Raster Time Series Analysis |
| R-rtson | 1.3-lp153.3.12 | Typed JSON |
| R-rtsplot | 0.1.5-lp153.1.5 | Time Series Plot |
| R-Rttf2pt1 | 1.3.12-lp153.1.7 | \'ttf2pt1\' Program |
| R-Rttf2pt1 | 1.3.8-lp154.1.10 | \'ttf2pt1\' Program |
| R-Rttf2pt1 | 1.3.8-1.30 | \'ttf2pt1\' Program |
| R-Rttf2pt1 | 1.3.8-lp153.1.24 | \'ttf2pt1\' Program |
| R-Rttf2pt1 | 1.3.8-1.28 | \'ttf2pt1\' Program |
| R-Rttf2pt1 | 1.3.8-lp155.1.5 | \'ttf2pt1\' Program |
| R-RTTWebClient | 0.1.3-lp153.1.11 | Web Client to \'TickTrader\' |
| R-Rtumblr | 0.1.0-lp153.1.5 | Collecting and Analyzing \'Tumblr\' Data |
| R-Rtwalk | 1.8.0-lp153.2.13 | The R Implementation of the \'t-walk\' MCMC Algorithm |
| R-rtweet | 2.0.0-lp153.1.3 | Collecting Twitter Data |
| R-rtype | 0.1.1-lp153.2.13 | A strong type system for R |
| R-rtypeform | 2.1.0-lp153.19.2 | Interface to \'typeform\' Results |
| R-rucm | 0.6-lp153.2.13 | Implementation of Unobserved Components Model (UCM) |
| R-ruijter | 0.1.3-lp153.2.2 | Technical Data Sets by Ruijter et al. (2013) |
| R-ruin | 0.1.1-lp153.14.5 | Simulation of Various Risk Processes |
| R-ruler | 0.3.0-lp153.2.2 | Tidy Data Validation Reports |
| R-rumidas | 0.1.2-lp153.1.4 | Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and ME |
| R-runcharter | 0.2.0-lp153.7.5 | Automatically Plot, Analyse and Revises Limits of Multiple R |
| R-runDRT | 0.1.0-lp153.2.2 | Run Doubly Ranked Tests |
| R-runes | 0.1.0-lp153.2.13 | Convert Strings to Elder Futhark Runes |
| R-runexp | 0.2.1-lp153.1.12 | Softball Run Expectancy using Markov Chains and Simulation |
| R-RUnit | 0.4.32-lp155.1.5 | R Unit test framework |
| R-RUnit | 0.4.32-1.27 | R Unit test framework |
| R-RUnit | 0.4.32-lp154.1.11 | R Unit test framework |
| R-RUnit | 0.4.32-lp153.1.67 | R Unit test framework |
| R-Runiversal | 1.0.2-lp153.2.13 | Runiversal - Package for converting R objects to Java variab |
| R-runjags | 2.2.2.4-lp153.2.2 | Interface Utilities, Model Templates, Parallel Computing Met |
| R-runonce | 0.2.3-lp153.2.7 | Run Once and Save Result |
| R-runstats | 1.1.0-lp153.1.11 | Fast Computation of Running Statistics for Time Series |
| R-rusda | 1.0.8-lp153.22.3 | Interface to USDA Databases |
| R-rusk | 0.1.1-lp153.21.2 | Beautiful Graphical Representation of Multiplication Tables |
| R-ruta | 1.2.0-lp153.2.5 | Implementation of Unsupervised Neural Architectures |
| R-rutifier | 1.0.4-lp153.2.13 | Chilean Rol Unico Tributario |
| R-rutledge | 0.1.1-lp153.2.2 | Real-Time PCR Data Sets by Rutledge et al. (2004) |
| R-ruv | 0.9.7.1-lp153.14.5 | Detect and Remove Unwanted Variation using Negative Controls |
| R-rv | 2.3.5-lp153.1.11 | Simulation-Based Random Variable Objects |
| R-rvalues | 0.7.1-lp153.1.13 | R-Values for Ranking in High-Dimensional Settings |
| R-RVenn | 1.1.0-lp153.18.2 | Set Operations for Many Sets |
| R-RVerbalExpressions | 0.1.1-lp153.2.2 | Create Regular Expressions Easily |
| R-rversions | 2.0.2-2.24 | Query \'R\' Versions, Including \'r-release\' and \'r-oldrel |
| R-rversions | 2.0.2-lp153.2.23 | Query \'R\' Versions, Including \'r-release\' and \'r-oldrel |
| R-rversions | 2.1.2-lp153.2.4 | Query \'R\' Versions, Including \'r-release\' and \'r-oldrel |
| R-rversions | 2.0.2-2.27 | Query \'R\' Versions, Including \'r-release\' and \'r-oldrel |
| R-rversions | 2.0.2-lp155.2.5 | Query \'R\' Versions, Including \'r-release\' and \'r-oldrel |
| R-rversions | 2.0.2-lp154.2.10 | Query \'R\' Versions, Including \'r-release\' and \'r-oldrel |
| R-rvertnet | 0.8.4-lp153.1.4 | Search \'Vertnet\', a \'Database\' of Vertebrate Specimen Re |
| R-rvest | 0.3.5-1.31 | Easily Harvest (Scrape) Web Pages |
| R-rvest | 1.0.4-lp153.1.4 | Easily Harvest (Scrape) Web Pages |
| R-rvest | 0.3.5-lp153.1.23 | Easily Harvest (Scrape) Web Pages |
| R-rvest | 0.3.5-1.24 | Easily Harvest (Scrape) Web Pages |
| R-RVFam | 1.1-lp153.4.11 | Rare Variants Association Analyses with Family Data |
| R-rvgtest | 0.7.4-lp153.1.13 | Tools for Analyzing Non-Uniform Pseudo-Random Variate Genera |
| R-rvHPDT | 4.0-lp153.1.9 | Calling Haplotype-Based and Variant-Based Pedigree Disequili |
| R-RViennaCL | 1.7.1.8-lp153.3.7 | \'ViennaCL\' C++ Header Files |
| R-RViennaCL-devel | 1.7.1.8-lp153.3.7 | Development files for RViennaCL |
| R-rvif | 1.0-lp153.2.7 | Collinearity Detection using Redefined Variance Inflation Fa |
| R-RVIpkg | 0.3.2-lp153.1.5 | Regional Vulnerability Index |
| R-rvisidata | 1.0.0-lp153.2.2 | Wrapper for \'Visidata\', an Interactive Multitool for Tabul |
| R-rvkstat | 3.2.0-lp153.11.2 | R Interface to API \'vk.com\' |
| R-rvmethod | 0.1.2-lp153.2.13 | Radial Velocity Method for Detecting Exoplanets |
| R-Rvmmin | 2018.4.17.1-lp153.1.13 | Variable Metric Nonlinear Function Minimization |
| R-rvTDT | 1.0-lp153.2.13 | population control weighted rare-variants TDT |
| R-RVtests | 1.2-lp153.3.11 | Rare Variant Tests |
| R-rwa | 0.0.3-lp153.15.2 | Perform a Relative Weights Analysis |
| R-rwalkr | 0.5.7-lp153.7.2 | API to Melbourne Pedestrian Data |
| R-rwarrior | 0.4.1-lp153.5.2 | R Warrior - An AI Programming Game |
| R-Rwave | 2.6.5-lp153.1.8 | Time-Frequency analysis of 1-D signals |
| R-rwavelet | 0.4.1-lp153.2.13 | Wavelet Analysis |
| R-rWBclimate | 0.1.3-lp153.7.10 | A package for accessing World Bank climate data |
| R-RWBP | 1.0-lp153.2.13 | Detects spatial outliers using a Random Walk on Bipartite Gr |
| R-rwc | 1.11-lp153.6.4 | Random Walk Covariance Models |
| R-Rwclust | 0.1.0-lp153.1.8 | Random Walk Clustering on Weighted Graphs |
| R-RweaveExtra | 1.1.0-lp153.1.4 | Sweave Drivers with Extra Tricks Up their Sleeve |
| R-RWebLogo | 1.0.3-lp153.2.13 | plotting custom sequence logos |
| R-rwebstat | 1.1.1-lp153.2.2 | Download Data from the Webstat API |
| R-RWeka | 0.4.39-1.35 | R/Weka interface |
| R-RWeka | 0.4.39-1.25 | R/Weka interface |
| R-RWeka | 0.4.39-lp153.1.24 | R/Weka interface |
| R-RWekajars | 3.9.3.1-1.29 | R/Weka interface jars |
| R-RWekajars | 3.9.3.1-lp153.1.26 | R/Weka interface jars |
| R-RWekajars | 3.9.3.1-1.35 | R/Weka interface jars |
| R-RWgraph | 1.0.0-lp153.2.4 | Random Walks on Graphs Representing a Transactional Network |
| R-rwhatsapp | 0.2.4-lp153.6.2 | Import and Handling for \'WhatsApp\' Chat Logs |
| R-Rwhois | 1.0.16-lp153.2.2 | WHOIS Server Querying |
| R-RWiener | 1.3.3-lp153.2.13 | Wiener Process Distribution Functions |
| R-rWind | 1.1.7-lp153.9.4 | Download, Edit and Include Wind and Sea Currents Data in Eco |
| R-Rwinsteps | 1.0.1.1-lp153.2.13 | Running Winsteps in R |
| R-rWishart | 0.1.2-lp153.2.13 | Random Wishart Matrix Generation |
| R-rwisp | 1.0.5-lp153.1.5 | WISP Multiple Criteria Sorting Method |
| R-RWmisc | 0.1.2-lp153.2.4 | Miscellaneous Spatial Functions |
| R-Rwordseg | 0.3.2-lp153.2.13 | Chinese Word Segmentation |
| R-rworldmap | 1.3.8-lp153.2.4 | Mapping Global Data |
| R-rworldxtra | 1.01-lp153.2.13 | Country boundaries at high resolution. |
| R-rwstats | 0.1-lp153.2.13 | Chinese Character Frequency in Real World |
| R-rwt | 1.0.2-lp153.1.9 | \'Rice Wavelet Toolbox\' Wrapper |
| R-Rwtss | 0.9.2-lp153.10.2 | Client for Web Time-Series Service |
| R-rwunderground | 0.1.8-lp153.17.7 | R Interface to Weather Underground API |
| R-RxCEcolInf | 0.1.5-lp153.2.11 | \'R x C Ecological Inference With Optional Incorporation of |
| R-rxivistr | 0.1.1-lp153.1.13 | Tool for the \'Rxivist\' API |
| R-RXKCD | 1.9.2-lp153.4.7 | Get XKCD Comic from R |
| R-RXMCDA | 1.5.5-lp153.3.12 | Functions to Parse and Create XMCDA Files |
| R-Rxnat | 1.0.14-lp153.7.12 | Queries and Extracts Images from Extensible Neuroimaging Arc |
| R-rxSeq | 0.99.3-lp153.2.13 | Combined Total and Allele Specific Reads Sequencing Study |
| R-RXshrink | 2.3-lp153.1.5 | Maximum Likelihood Shrinkage using Generalized Ridge or Leas |
| R-Ryacas | 0.4.1-lp154.1.10 | R interface to the yacas computer algebra system |
| R-Ryacas | 0.4.1-1.30 | R interface to the yacas computer algebra system |
| R-Ryacas | 0.4.1-1.58 | R interface to the yacas computer algebra system |
| R-Ryacas | 0.4.1-lp155.1.5 | R interface to the yacas computer algebra system |
| R-Ryacas | 0.4.1-lp153.1.23 | R interface to the yacas computer algebra system |
| R-ryandexdirect | 3.6.2-lp153.3.2 | Load Data From \'Yandex Direct\' |
| R-RYandexTranslate | 1.0-lp153.4.8 | R Interface to Yandex Translate API |
| R-rym | 1.0.6-lp153.2.2 | R Interface to Yandex Metrica API |
| R-RYoudaoTranslate | 1.0-lp153.3.12 | R package provide functions to translate English words into |
| R-ryouready | 0.4-lp153.21.7 | Companion to the Forthcoming Book - R you Ready? |
| R-rYoutheria | 1.0.3-lp153.7.2 | Access to the YouTheria Mammal Trait Database |
| R-rysgran | 2.1.0-lp153.2.13 | Grain size analysis, textural classifications and distributi |
| R-rytstat | 0.3.2-lp153.1.2 | Work with \'YouTube API\' |
| R-RZabbix | 0.1.0-lp153.2.12 | R Module for Working with the \'Zabbix API\' |
| R-rzentra | 0.1.0-lp153.17.7 | Client for the \'ZENTRA Cloud\' API |
| R-RZooRoH | 0.3.2.1-lp153.1.4 | Partitioning of Individual Autozygosity into Multiple Homozy |
| R-s20x | 3.1.40-lp153.1.5 | Functions for University of Auckland Course STATS 201/208 Da |
| R-s2dverification | 2.10.3-lp153.6.7 | Set of Common Tools for Forecast Verification |
| R-S2sls | 0.1-lp153.2.13 | Spatial Two Stage Least Squares Estimation |
| R-s3.resourcer | 1.1.1-lp153.6.2 | S3 Resource Resolver |
| R-s4vd | 1.1.1-lp153.17.2 | Biclustering via Sparse Singular Value Decomposition Incorpo |
| R-S7 | 0.1.1-lp153.1.5 | An Object Oriented System Meant to Become a Successor to S3 |
| R-sabarsi | 0.1.0-lp153.2.13 | Background Removal and Spectrum Identification for SERS Data |
| R-sabre | 0.4.3-lp153.6.4 | Spatial Association Between Regionalizations |
| R-sac | 1.0.2-lp153.1.13 | Semiparametric Analysis of Change-Point |
| R-saccades | 0.1.1-lp153.2.13 | Detection of Fixations in Eye-Tracking Data |
| R-SACCR | 3.2-lp153.4.4 | SA Counterparty Credit Risk under CRR2 |
| R-SACOBRA | 1.2-lp153.3.12 | Self-Adjusting COBRA |
| R-sad | 0.1.3-lp153.2.13 | Verify the Scale, Anisotropy and Direction of Weather Foreca |
| R-SADEG | 1.0.0-lp153.2.13 | Stability Analysis in Differentially Expressed Genes |
| R-SADISA | 1.2-lp153.19.4 | Species Abundance Distributions with Independent-Species Ass |
| R-sadists | 0.2.5-lp153.1.5 | Some Additional Distributions |
| R-sads | 0.4.2-lp153.4.10 | Maximum Likelihood Models for Species Abundance Distribution |
| R-sae.prop | 0.1.2-lp153.2.4 | Small Area Estimation using Fay-Herriot Models with Additive |
| R-sae2 | 1.2.1-lp153.3.2 | Small Area Estimation: Time-Series Models |
| R-saebnocov | 0.1.0-lp153.3.7 | Small Area Estimation using Empirical Bayes without Auxiliar |
| R-saeeb | 0.1.0-lp153.2.13 | Small Area Estimation for Count Data |
| R-SAEforest | 1.0.0-lp153.9.5 | Mixed Effect Random Forests for Small Area Estimation |
| R-saeHB.gpois | 0.1.1-lp153.3.7 | SAE using HB Method under Generalized Poisson Distribution |
| R-saeHB.hnb | 0.1.2-lp153.3.7 | Small Area Estimation under Hurdle Negative Binomial Distrib |
| R-saeHB.ME | 1.0.1-lp153.2.2 | Small Area Estimation with Measurement Error using Hierarchi |
| R-saeHB.ME.beta | 1.1.0-lp153.2.2 | SAE with Measurement Error using HB under Beta Distribution |
| R-saeHB.panel | 0.1.1-lp153.4.2 | Small Area Estimation using Hierarchical Bayesian Method for |
| R-saeHB.spatial | 0.1.0-lp153.3.7 | Small Area Estimation under Spatial SAR Model using Hierarch |
| R-saeHB.twofold | 0.1.1-lp153.3.7 | Hierarchical Bayes Twofold Subarea Level Model SAE |
| R-saeHB.unit | 0.1.0-lp153.1.5 | Basic Unit Level Model using Hierarchical Bayesian Approach |
| R-saeHB.ZIB | 0.1.1-lp153.4.2 | Small Area Estimation using Hierarchical Bayesian under Zero |
| R-saeHB.zinb | 0.1.1-lp153.3.7 | Small Area Estimation using Hierarchical Bayesian under Zero |
| R-saekernel | 0.1.1-lp153.1.12 | Small Area Estimation Non-Parametric Based Nadaraya-Watson K |
| R-saeME | 1.3.1-lp153.1.5 | Small Area Estimation with Measurement Error |
| R-saemix | 3.3-lp153.2.2 | Stochastic Approximation Expectation Maximization (SAEM) Alg |
| R-saens | 0.1.0-lp153.1.4 | Small Area Estimation with Cluster Information for Estimatio |
| R-saery | 1.0-lp153.2.13 | Small Area Estimation for Rao and Yu Model |
| R-SAFD | 2.1-lp153.2.13 | Statistical Analysis of Fuzzy Data |
| R-safeBinaryRegression | 0.1.3-lp153.2.13 | Safe Binary Regression |
| R-safedata | 1.1.3-lp153.4.4 | Interface to Data from the SAFE Project |
| R-safejoin | 0.2.0-lp153.2.2 | Perform \"Safe\" Table Joins |
| R-safestats | 0.8.7-lp153.3.7 | Safe Anytime-Valid Inference |
| R-safetensors | 0.1.2-lp153.1.5 | Safetensors File Format |
| R-safetyData | 1.0.0-lp153.1.13 | Clinical Trial Data |
| R-sageR | 0.6.1-lp153.1.5 | Applied Statistics for Economics and Management with R |
| R-SAGM | 1.0.0-lp153.1.4 | Spatial Autoregressive Graphical Model |
| R-sahpm | 1.0.1-lp153.1.11 | Variable Selection using Simulated Annealing |
| R-sAIC | 1.0.1-lp153.1.8 | Akaike Information Criterion for Sparse Estimation |
| R-sail | 0.1.0-lp153.3.11 | Sparse Additive Interaction Learning |
| R-SailoR | 1.2-lp153.2.13 | An Extension of the Taylor Diagram to Two-Dimensional Vector |
| R-salbm | 1.0-lp153.3.11 | Sensitivity Analysis for Binary Missing Data |
| R-salem | 0.2.0-lp153.2.13 | Provides Access to Salem Witchcraft Data |
| R-SALES | 1.0.2-lp153.1.8 | The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymme |
| R-salesforcer | 1.0.1-lp153.8.5 | An Implementation of \'Salesforce\' APIs Using Tidy Principl |
| R-SALTSampler | 1.1.0-lp153.2.13 | Efficient Sampling on the Simplex |
| R-sambia | 0.1.0-lp153.16.4 | A Collection of Techniques Correcting for Sample Selection B |
| R-SAME | 0.1.0-lp153.1.7 | Seamless Adaptive Multi-Arm Multi-Stage Enrichment |
| R-samon | 4.0.2-lp153.1.5 | Sensitivity Analysis for Missing Data |
| R-sampbias | 2.0.0-lp153.1.4 | Evaluating Geographic Sampling Bias in Biological Collection |
| R-Sample.Size | 1.0-lp153.2.13 | Sample size calculation |
| R-sampler | 0.2.4-lp153.16.2 | Sample Design, Drawing & Data Analysis Using Data Frames |
| R-SamplerCompare | 1.3.4-lp153.1.5 | A Framework for Comparing the Performance of MCMC Samplers |
| R-samplesize | 0.2.4-lp153.2.13 | Sample Size Calculation for Various t-Tests and Wilcoxon-Tes |
| R-SampleSize4ClinicalTrials | 0.2.3-lp153.1.13 | Sample Size Calculation for the Comparison of Means or Propo |
| R-samplesize4surveys | 4.1.1-lp153.12.7 | Sample Size Calculations for Complex Surveys |
| R-samplesizeCMH | 0.0.3-lp153.1.4 | Power and Sample Size Calculation for the Cochran-Mantel-Hae |
| R-samplesizeestimator | 1.0.0-lp153.2.2 | Calculate Sample Size for Various Scenarios |
| R-samplesizelogisticcasecontrol | 2.0.2-lp153.1.5 | Sample Size and Power Calculations for Case-Control Studies |
| R-SampleSizeMeans | 1.2.3-lp153.1.5 | Sample Size Calculations for Normal Means |
| R-SampleSizeProportions | 1.1.3-lp153.1.5 | Calculating Sample Size Requirements when Estimating the Dif |
| R-sampleVADIR | 1.0.0-lp153.4.7 | Draw Stratified Samples from the VADIR Database |
| R-sampling | 2.6-lp155.3.5 | Survey Sampling |
| R-sampling | 2.6-lp154.3.10 | Survey Sampling |
| R-sampling | 2.10-lp153.1.4 | Survey Sampling |
| R-sampling | 2.6-3.29 | Survey Sampling |
| R-sampling | 2.6-3.38 | Survey Sampling |
| R-sampling | 2.6-lp153.3.23 | Survey Sampling |
| R-SamplingBigData | 1.0.0-lp153.2.13 | Sampling Methods for Big Data |
| R-samplingbook | 1.2.4-lp153.4.2 | Survey Sampling Procedures |
| R-samplingDataCRT | 1.0-lp153.2.13 | Sampling Data Within Different Study Designs for Cluster Ran |
| R-samplingEstimates | 0.1.3-lp153.2.13 | Sampling Estimates |
| R-samplingR | 1.0.1-lp153.1.5 | Sampling and Estimation Methods |
| R-SamplingStrata | 1.5.4-lp153.2.5 | Optimal Stratification of Sampling Frames for Multipurpose S |
| R-samplingVarEst | 1.5-lp153.1.7 | Sampling Variance Estimation |
| R-samplrData | 1.0.0-lp153.1.2 | Datasets from the SAMPLING Project |
| R-samplrData | 1.0.0-lp155.1.1 | Datasets from the SAMPLING Project |
| R-samplrData | 1.0.0-lp154.1.1 | Datasets from the SAMPLING Project |
| R-sampsizeval | 1.0.0.0-lp153.10.7 | Sample Size for Validation of Risk Models with Binary Outcom |
| R-sampSurf | 0.7.6-lp153.1.12 | Sampling Surface Simulation for Areal Sampling Methods |
| R-sams | 0.4.3-lp153.1.10 | Merge-Split Samplers for Conjugate Bayesian Nonparametric Mo |
| R-SAMTx | 0.3.0-lp153.2.7 | Sensitivity Assessment to Unmeasured Confounding with Multip |
| R-SAMUR | 1.1-lp153.1.8 | Stochastic Augmentation of Matched Data Using Restriction Me |
| R-SAMURAI | 1.2.1-lp153.4.9 | Sensitivity Analysis of a Meta-analysis with Unpublished but |
| R-sand | 2.0.0-lp153.7.4 | Statistical Analysis of Network Data with R, 2nd Edition |
| R-sandbox | 0.2.1-lp153.2.10 | Probabilistic Numerical Modelling of Sediment Properties |
| R-sandwich | 2.3_2-lp153.1.25 | Robust Covariance Matrix Estimators |
| R-sandwich | 2.3_2-lp155.1.5 | Robust Covariance Matrix Estimators |
| R-sandwich | 2.3_2-lp154.1.10 | Robust Covariance Matrix Estimators |
| R-sandwich | 2.3_2-1.38 | Robust Covariance Matrix Estimators |
| R-sandwich | 2.3_2-1.29 | Robust Covariance Matrix Estimators |
| R-sandwichr | 1.0.4-lp153.1.5 | Spatial Prediction Based on Spatial Stratified Heterogeneity |
| R-SanFranBeachWater | 0.1.0-lp153.18.4 | Downloads and Tidies the San Francisco Public Utilities Comm |
| R-SangerTools | 1.0.2-lp153.10.4 | Tools for Population Health Management Analytics |
| R-sanitizers | 0.1.1-lp153.1.5 | C/C++ Source Code to Trigger Address and Undefined Behaviour |
| R-sanityTracker | 0.1.0-lp153.2.13 | Keeps Track of all Performed Sanity Checks |
| R-sanketphonetictranslator | 0.1.0-lp153.2.2 | Phonetic Transliteration Between Hindi and English |
| R-sankey | 1.0.2-lp153.2.13 | Illustrate the Flow of Information or Material |
| R-sankeywheel | 0.1.0-lp153.15.2 | Create Dependency Wheels and Sankey Diagrams |
| R-sanon | 1.6-lp153.2.13 | Stratified Analysis with Nonparametric Covariable Adjustment |
| R-sansa | 0.0.1-lp153.4.5 | Synthetic Data Generation for Imbalanced Learning in \'R\' |
| R-sanzo | 0.1.0-lp153.2.13 | Color Palettes Based on the Works of Sanzo Wada |
| R-SAP | 1.0-lp153.1.7 | Statistical Analysis and Programming |
| R-sapevom | 0.2.0-lp153.1.13 | Group Ordinal Method for Multiple Criteria Decision-Making |
| R-sapfluxnetr | 0.1.4-lp153.3.2 | Working with \'Sapfluxnet\' Project Data |
| R-SAPP | 1.0.8-lp153.2.13 | Statistical Analysis of Point Processes |
| R-saqgetr | 0.2.21-lp153.16.2 | Import Air Quality Monitoring Data in a Fast and Easy Way |
| R-sara4r | 0.0.9-lp153.2.7 | An R-GUI for Spatial Analysis of Surface Runoff using the NR |
| R-SARP.moodle | 1.0.4-lp153.1.5 | XML Output Functions for Easy Creation of Moodle Questions |
| R-sarp.snowprofile | 1.3.2-lp153.2.4 | Snow Profile Analysis for Snowpack and Avalanche Research |
| R-sarp.snowprofile.pyface | 0.1.3-lp153.4.4 | \'python\' Modules from Snowpack and Avalanche Research |
| R-SAScii | 1.0.2-lp153.1.5 | Import ASCII Files Directly into R using Only a \'SAS\' Inpu |
| R-SASdates | 0.1.0-lp153.1.7 | Convert the Dates to \'SAS\' Formats |
| R-sasMap | 1.0.0-lp153.13.5 | Static \'SAS\' Code Analysis |
| R-SASmarkdown | 0.8.2-lp153.1.5 | \'SAS\' Markdown |
| R-SASmixed | 1.0.4-lp153.2.13 | Data sets from \"SAS System for Mixed Models\" |
| R-SASPECT | 0.1.1-lp153.2.13 | Significant AnalysiS of PEptide CounTs. |
| R-sasr | 0.1.2-lp153.2.5 | \'SAS\' Interface |
| R-sass | 0.4.9-lp153.3.2 | Syntactically Awesome Style Sheets (\'Sass\') |
| R-sassy | 1.2.5-lp153.1.2 | Makes \'R\' Easier for Everyone |
| R-SASxport | 1.7.0-lp153.10.11 | Read and Write \'SAS\' \'XPORT\' Files |
| R-satin | 1.1.0-lp153.3.7 | Visualisation and Analysis of Ocean Data Derived from Satell |
| R-satres | 1.1.1-lp153.1.4 | Grouping Satellite Bands by Spectral and Spatial Resolution |
| R-satscanMapper | 1.0.2-lp153.3.7 | \'SaTScan\' (TM) Results Mapper |
| R-SAutomata | 0.1.0-lp153.2.13 | Inference and Learning in Stochastic Automata |
| R-SAVER | 1.1.2-lp153.4.7 | Single-Cell RNA-Seq Gene Expression Recovery |
| R-saves | 0.5-lp153.2.13 | Fast load variables |
| R-savonliquide | 0.2.0-lp153.7.2 | Accessibility Toolbox for \'R\' Users |
| R-savvyr | 0.1.1-lp153.1.2 | Survival Analysis for AdVerse Events with VarYing Follow-Up |
| R-sawnuti | 0.1.1-lp153.1.11 | Comparing Sequences with Non-Uniform Time Intervals |
| R-saws | 0.9.7.0-lp153.1.8 | Small-Sample Adjustments for Wald Tests Using Sandwich Estim |
| R-sazedR | 2.0.2-lp153.6.7 | Parameter-Free Domain-Agnostic Season Length Detection in Ti |
| R-sbde | 1.0.1-lp153.1.4 | Semiparametric Bayesian Density Estimation |
| R-SBdecomp | 1.2-lp153.10.2 | Estimation of the Proportion of SB Explained by Confounders |
| R-sBF | 1.1.1-lp153.2.13 | Smooth Backfitting |
| R-sbgcop | 0.980-lp153.2.13 | Semiparametric Bayesian Gaussian Copula Estimation and Imput |
| R-SBICgraph | 1.0.0-lp153.10.7 | Structural Bayesian Information Criterion for Graphical Mode |
| R-sbioPN | 1.1.0-lp153.2.13 | sbioPN: Simulation of deterministic and stochastic spatial b |
| R-sbl | 0.1.0-lp153.2.13 | Sparse Bayesian Learning for QTL Mapping and Genome-Wide Ass |
| R-SBMSplitMerge | 1.1.1-lp153.15.2 | Inference for a Generalised SBM with a Split Merge Sampler |
| R-SBN | 1.0.0-lp153.6.4 | Generate Stochastic Branching Networks |
| R-SBSDiff | 0.1.0-lp153.2.13 | Satorra-Bentler Scaled Chi-Squared Difference Test |
| R-sbtools | 1.1.20-lp153.1.7 | USGS ScienceBase Tools |
| R-SC2API | 1.0.0-lp153.3.12 | Blizzard SC2 API Wrapper |
| R-sc2sc | 0.0.1.12-lp153.1.3 | Spatial Transfer of Statistics among Spanish Census Sections |
| R-sca | 0.9.2-lp153.1.4 | Simple Component Analysis |
| R-scaffolder | 0.0.1-lp153.7.5 | Scaffolding Interfaces to Packages in Other Programming Lang |
| R-scaleAlign | 1.0.0.0-lp153.2.13 | Scale Alignment for Between-Items Multidimensional Rasch Fam |
| R-scaleboot | 1.0.1-lp153.2.13 | Approximately Unbiased P-Values via Multiscale Bootstrap |
| R-scales | 1.3.0-lp153.1.4 | Scale Functions for Visualization |
| R-scales | 1.1.0-lp155.2.5 | Scale Functions for Visualization |
| R-scales | 1.1.0-lp154.2.10 | Scale Functions for Visualization |
| R-scales | 1.1.0-2.29 | Scale Functions for Visualization |
| R-scales | 1.1.0-lp153.2.26 | Scale Functions for Visualization |
| R-scales | 1.1.0-2.39 | Scale Functions for Visualization |
| R-scalpel | 1.0.3-lp153.6.4 | Processes Calcium Imaging Data |
| R-scalreg | 1.0.1-lp153.2.13 | Scaled Sparse Linear Regression |
| R-scape | 2.3.3-lp153.27.2 | Statistical Catch-at-Age Plotting Environment |
| R-scapesClassification | 1.0.0-lp153.3.4 | User-Defined Classification of Raster Surfaces |
| R-scapGNN | 0.1.4-lp153.7.3 | Graph Neural Network-Based Framework for Single Cell Active |
| R-scar | 0.2.2-lp153.1.9 | Shape-Constrained Additive Regression: a Maximum Likelihood |
| R-scaRabee | 1.1.4-lp153.1.11 | Optimization Toolkit for Pharmacokinetic-Pharmacodynamic Mod |
| R-SCAT | 0.5.0-lp153.2.13 | Summary Based Conditional Association Test |
| R-scatterD3 | 1.0.1-lp153.13.2 | D3 JavaScript Scatterplot from R |
| R-scattermore | 1.2-lp153.1.5 | Scatterplots with More Points |
| R-scatterplot3d | 0.3_35-1.38 | 3D Scatter Plot |
| R-scatterplot3d | 0.3_35-lp153.1.26 | 3D Scatter Plot |
| R-scatterplot3d | 0.3_35-1.30 | 3D Scatter Plot |
| R-scatterplot3d | 0.3.44-lp153.1.5 | 3D Scatter Plot |
| R-scatterplot3d | 0.3_35-lp154.1.10 | 3D Scatter Plot |
| R-scatterplot3d | 0.3_35-lp155.1.5 | 3D Scatter Plot |
| R-SCBiclust | 1.0.1-lp153.1.9 | Identifies Mean, Variance, and Hierarchically Clustered Bicl |
| R-SCBmeanfd | 1.2.2-lp153.2.13 | Simultaneous Confidence Bands for the Mean of Functional Dat |
| R-scbursts | 1.6-lp153.13.4 | Single Channel Bursts Analysis |
| R-scCAN | 1.0.5-lp155.1.1 | Single-Cell Clustering using Autoencoder and Network Fusion |
| R-scCAN | 1.0.5-lp153.1.1 | Single-Cell Clustering using Autoencoder and Network Fusion |
| R-scCATCH | 3.2.2-lp153.3.2 | Single Cell Cluster-Based Annotation Toolkit for Cellular He |
| R-sccr | 2.1-lp153.13.7 | The Self-Consistent, Competing Risks (SC-CR) Algorithms |
| R-SCCS | 1.7-lp153.2.2 | The Self-Controlled Case Series Method |
| R-scdhlm | 0.7.3-lp153.1.3 | Estimating Hierarchical Linear Models for Single-Case Design |
| R-scdtb | 0.1.0-lp153.2.2 | Single Case Design Tools |
| R-scenario | 1.0-lp153.2.13 | Construct Reduced Trees with Predefined Nodal Structures |
| R-scenes | 0.1.0-lp153.4.2 | Switch Between Alternative \'shiny\' UIs |
| R-SCEnt | 0.0.1-lp153.6.5 | Single Cell Entropy Analysis of Gene Heterogeneity in Cell P |
| R-SCEPtER | 0.2.4-lp153.1.13 | Stellar CharactEristics Pisa Estimation gRid |
| R-SCEPtERbinary | 0.1.1-lp153.2.13 | Stellar CharactEristics Pisa Estimation gRid for Binary Syst |
| R-SCGLR | 3.0-lp153.16.7 | Supervised Component Generalized Linear Regression |
| R-scgwr | 0.1.2.21-lp153.7.7 | Scalable Geographically Weighted Regression |
| R-schoenberg | 2.0.3-lp153.1.4 | Tools for 12-Tone Musical Composition |
| R-scholar | 0.2.4-lp153.11.2 | Analyse Citation Data from Google Scholar |
| R-SchoolDataIT | 0.1.2-lp153.1.2 | Retrieve, Harmonise and Map Open Data Regarding the Italian |
| R-schoolmath | 0.4.2-lp153.1.5 | Functions and Datasets for Math Used in School |
| R-schoRsch | 1.10-lp153.1.7 | Tools for Analyzing Factorial Experiments |
| R-schrute | 1.0.1-lp153.1.8 | The Entire Transcript from the Office in Tidy Format |
| R-schtools | 0.4.1-lp153.2.2 | Schloss Lab Tools for Reproducible Microbiome Research |
| R-schumaker | 1.2.1-lp153.1.12 | Schumaker Shape-Preserving Spline |
| R-SCIBER | 0.2.2-lp153.1.5 | Single-Cell Integrator and Batch Effect Remover |
| R-scico | 1.5.0-lp153.2.4 | Colour Palettes Based on the Scientific Colour-Maps |
| R-scidesignR | 1.0.0-lp153.1.9 | Data Sets from Design and Analysis of Experiments and Observ |
| R-scientific | 2024.2-lp153.2.2 | Highly Customizable \'rmarkdown\' Theme for Scientific Repor |
| R-scientoText | 0.1-lp153.7.2 | Text & Scientometric Analytics |
| R-scifigure | 0.2-lp153.2.13 | Visualize \'Reproducibility\' and \'Replicability\' in a Com |
| R-SCINA | 1.2.0-lp153.3.12 | A Semi-Supervised Category Identification and Assignment Too |
| R-sciplot | 1.2.0-lp153.2.13 | Scientific Graphing Functions for Factorial Designs |
| R-scipub | 1.2.3-lp153.2.2 | Summarize Data for Scientific Publication |
| R-sciRmdTheme | 0.1-lp153.1.8 | Upgraded \'Rmarkdown\' Themes for Scientific Writing |
| R-SciViews | 0.9.13.1-lp153.2.13 | SciViews - Main package |
| R-sclero | 0.2-lp153.1.13 | Measure Growth Patterns and Align Sampling Spots in Photogra |
| R-scLink | 1.0.1-lp153.2.13 | Inferring Functional Gene Co-Expression Networks from Single |
| R-sclr | 0.3.1-lp153.17.2 | Scaled Logistic Regression |
| R-sClust | 1.0-lp153.1.12 | R Toolbox for Unsupervised Spectral Clustering |
| R-SCMA | 1.3.1-lp153.2.13 | Single-Case Meta-Analysis |
| R-scopr | 0.3.4-lp153.6.5 | Read Ethoscope Data |
| R-SCOPRO | 0.1.0-lp153.4.5 | Score Projection Between in \'Vivo\' and in \'Vitro\' Datase |
| R-SCOR | 1.1.2-lp153.1.5 | Spherically Constrained Optimization Routine |
| R-scorecard | 0.4.4-lp153.2.2 | Credit Risk Scorecard |
| R-ScoreEB | 0.1.1-lp153.1.12 | Score Test Integrated with Empirical Bayes for Association S |
| R-ScoreGGUM | 1.0-lp153.2.13 | Score Persons Using the Generalized Graded Unfolding Model |
| R-ScorePlus | 0.1-lp153.8.4 | Implementation of SCORE, SCORE+ and Mixed-SCORE |
| R-SCORER2 | 0.99.0-lp153.2.13 | SCORER 2.0: an algorithm for distinguishing parallel dimeric |
| R-scoring | 0.6-lp153.2.13 | Proper Scoring Rules |
| R-scoringfunctions | 0.0.6-lp153.1.5 | A Collection of Scoring Functions for Assessing Point Foreca |
| R-scoringTools | 0.1.3-lp153.1.3 | Credit Scoring Tools |
| R-SCORPION | 1.0.2-lp153.2.2 | Single Cell Oriented Reconstruction of PANDA Individual Opti |
| R-scout | 1.0.4-lp153.2.13 | Implements the Scout Method for Covariance-Regularized Regre |
| R-SCperf | 1.1.1-lp153.2.13 | Functions for Planning and Managing Inventories in a Supply |
| R-SCpubr | 2.0.2-lp153.1.5 | Generate Publication Ready Visualizations of Single Cell Tra |
| R-scquantum | 1.0.0-lp153.1.10 | Estimate Ploidy and Absolute Copy Number from Single Cell Se |
| R-ScrabbleScore | 1.0-lp153.2.13 | Calculates Scrabble score for strings |
| R-scraEP | 1.2-lp153.7.4 | Scrape the Web with Extra Power |
| R-scrapeR | 0.1.8-lp153.1.4 | These Functions Fetch and Extract Text Content from Specifie |
| R-scrappy | 0.0.1-lp153.11.4 | A Simple Web Scraper |
| R-ScreenClean | 1.0.1-lp153.2.13 | Screen and clean variable selection procedures |
| R-ScreeNOT | 0.1.0-lp153.1.5 | \'ScreeNOT\': MSE-Optimal Singular Value Thresholding in Cor |
| R-scribe | 0.3.0-lp153.1.5 | Command Argument Parsing |
| R-scrime | 1.3.5-lp153.2.13 | Analysis of High-Dimensional Categorical Data such as SNP Da |
| R-script | 0.1.1-lp153.1.5 | Identify Script Name |
| R-scriptests | 1.0.16-lp153.2.13 | Transcript-Based Unit Tests that are Easy to Create and Main |
| R-scriptexec | 0.3.1-lp153.2.13 | Execute Native Scripts |
| R-scriptloc | 1.0.0-lp153.1.5 | Get the Location of the R Script that is Being Sourced/Execu |
| R-scriptName | 1.0.1-lp153.4.7 | Determine a Script\'s Filename from Within the Script Itself |
| R-scriptuRs | 0.1.0-lp153.2.13 | Complete Text of the LDS Scriptures |
| R-ScRNAIMM | 0.1-lp153.7.2 | Performing Single-Cell RNA-Seq Imputation by Using Mean/Medi |
| R-scrobbler | 1.0.3-lp153.1.5 | Download \'Scrobbles\' from \'Last.fm\' |
| R-scrollrevealR | 0.2.0-lp153.8.2 | Animate \'shiny\' Elements when They Scroll into View using |
| R-SCRSELECT | 1.3.3-lp153.2.13 | Performs Bayesian Variable Selection on the Covariates in a |
| R-SCRT | 1.3.1-lp153.2.13 | Single-Case Randomization Tests |
| R-scrubr | 0.4.0-lp153.1.12 | Clean Biological Occurrence Records |
| R-scrypt | 0.1.1-lp154.3.10 | Cryptographic functions for R |
| R-scrypt | 0.1.1-lp153.3.23 | Cryptographic functions for R |
| R-scrypt | 0.1.1-lp155.3.5 | Cryptographic functions for R |
| R-scrypt | 0.1.1-3.31 | Cryptographic functions for R |
| R-scrypt | 0.1.1-3.56 | Cryptographic functions for R |
| R-scryr | 1.0.0-lp153.9.7 | An Interface to the \'Scryfall\' API |
| R-scs | 3.2.4-lp153.1.5 | Splitting Conic Solver |
| R-scSorter | 0.0.2-lp153.1.12 | Implementation of \'scSorter\' Algorithm |
| R-scTenifoldKnk | 1.0.1-lp153.3.7 | In-Silico Knockout Experiments from Single-Cell Gene Regulat |
| R-scTenifoldNet | 1.3-lp153.2.7 | Construct and Compare scGRN from Single-Cell Transcriptomic |
| R-scuba | 1.11.1-lp153.1.8 | Diving Calculations and Decompression Models |
| R-scUtils | 0.1.0-lp153.16.7 | Utility Functions for Single-Cell RNA Sequencing Data |
| R-SCVA | 1.3.1-lp153.30.2 | Single-Case Visual Analysis |
| R-sda | 1.3.8-lp153.1.11 | Shrinkage Discriminant Analysis and CAT Score Variable Selec |
| R-SDaA | 0.1.5-lp153.1.10 | Sampling: Design and Analysis |
| R-sdafilter | 1.0.0-lp153.8.4 | Symmetrized Data Aggregation |
| R-sdam | 1.1.4-lp153.1.8 | Social Dynamics and Complexity in the Ancient Mediterranean |
| R-SDAR | 0.9.55-lp153.13.4 | Stratigraphic Data Analysis |
| R-SDAResources | 0.1.1-lp153.1.12 | Datasets and Functions for \'Sampling: Design and Analysis, |
| R-sdcLog | 0.5.0-lp153.9.2 | Tools for Statistical Disclosure Control in Research Data Ce |
| R-SDCNway | 1.0.1-lp153.16.7 | Tools to Evaluate Disclosure Risk |
| R-sdcSpatial | 0.5.2-lp153.3.4 | Statistical Disclosure Control for Spatial Data |
| R-sdcTarget | 0.9.11-lp153.2.13 | Statistical Disclosure Control Substitution Matrix Calculato |
| R-SDD | 1.2-lp153.3.11 | Serial Dependence Diagrams |
| R-SDDE | 1.0.1-lp153.2.13 | Shortcuts, Detours and Dead Ends (SDDE) Path Types in Genome |
| R-sddpack | 0.9-lp153.2.13 | Semidiscrete Decomposition |
| R-sde | 2.0.18-lp153.5.4 | Simulation and Inference for Stochastic Differential Equatio |
| R-sdef | 1.7-lp153.2.13 | Synthesizing List of Differentially Expressed Features |
| R-SDEFSR | 0.7.22-lp153.12.2 | Subgroup Discovery with Evolutionary Fuzzy Systems |
| R-SDGdetector | 2.7.3-lp153.2.4 | Detect SDGs and Targets in Text |
| R-sdglinkage | 0.1.0-lp153.3.12 | Synthetic Data Generation for Linkage Methods Development |
| R-SDLfilter | 2.3.3-lp153.1.2 | Filtering and Assessing the Sample Size of Tracking Data |
| R-sdm | 1.2.40-lp153.2.2 | Species Distribution Modelling |
| R-sdmApp | 0.0.2-lp153.10.4 | A User-Friendly Application for Species Distribution Modelin |
| R-SDMPlay | 2.0-lp153.5.4 | Species Distribution Modelling Playground |
| R-sdmpredictors | 0.2.15-lp153.2.4 | Species Distribution Modelling Predictor Datasets |
| R-SDPDmod | 0.0.5-lp153.2.2 | Spatial Dynamic Panel Data Modeling |
| R-sdPrior | 1.0.0-lp153.6.2 | Scale-Dependent Hyperpriors in Structured Additive Distribut |
| R-sdprisk | 1.1.6-lp153.3.7 | Measures of Risk for the Compound Poisson Risk Process with |
| R-SDPrism2D | 0.1.1-lp153.1.8 | Visualizing the Standard Deviation as the Size of a Prism |
| R-sdpt3r | 0.3-lp153.2.13 | Semi-Definite Quadratic Linear Programming Solver |
| R-sdStaf | 1.0.2-lp153.10.7 | Species Distribution and Stability Future Models |
| R-SDT | 1.0.0-lp153.2.13 | Self-Determination Theory Measures |
| R-sdtmval | 0.4.1-lp153.3.2 | Validate SDTM Domains |
| R-sdtoolkit | 2.33.1-lp153.2.13 | Scenario Discovery Tools to Support Robust Decision Making |
| R-sdwd | 1.0.5-lp153.2.13 | Sparse Distance Weighted Discrimination |
| R-SE.EQ | 1.0-lp153.2.13 | SE-Test for Equivalence |
| R-SEA | 2.0.1-lp153.8.2 | Segregation Analysis |
| R-seacarb | 3.3.3-lp153.1.4 | Seawater Carbonate Chemistry |
| R-SEAGLE | 1.0.1-lp153.1.11 | Scalable Exact Algorithm for Large-Scale Set-Based Gene-Envi |
| R-SEAHORS | 1.8.0-lp153.6.3 | Spatial Exploration of ArcHaeological Objects in R Shiny |
| R-sealasso | 0.1.3-lp153.1.9 | Standard Error Adjusted Adaptive Lasso |
| R-searchConsoleR | 0.4.0-lp153.11.5 | Google Search Console R Client |
| R-searcher | 0.0.7-lp153.1.4 | Query Search Interfaces |
| R-SearchTrees | 0.5.5-lp153.1.8 | Spatial Search Trees |
| R-seas | 0.6.0-lp153.1.9 | Seasonal analysis and graphics, especially for climatology |
| R-SEAsic | 0.1-lp153.2.13 | Score Equity Assessment- summary index computation |
| R-season | 0.3.15-lp153.6.5 | Seasonal Analysis of Health Data |
| R-seasonal | 1.8.3-lp153.1.12 | R Interface to X-13-ARIMA-SEATS |
| R-seasonalclumped | 0.3.2-lp153.11.5 | Toolbox for Clumped Isotope Seasonality Reconstructions |
| R-seasonalityPlot | 1.2.1-lp154.5.1 | Seasonality Variation Plots of Stock Prices and Cryptocurren |
| R-seasonalityPlot | 1.2.1-lp153.5.1 | Seasonality Variation Plots of Stock Prices and Cryptocurren |
| R-seasonalityPlot | 1.2.1-lp155.5.1 | Seasonality Variation Plots of Stock Prices and Cryptocurren |
| R-seasonalview | 0.3-lp153.4.13 | Graphical User Interface for Seasonal Adjustment |
| R-seawaveQ | 2.0.2-lp153.32.2 | SEAWAVE-Q Model |
| R-SeBR | 1.0.0-lp153.2.5 | Semiparametric Bayesian Regression Analysis |
| R-SecDim | 3.2-lp153.1.5 | The Second Dimension of Spatial Association |
| R-SECFISH | 0.1.7-lp153.27.2 | Disaggregate Variable Costs |
| R-SEchart | 0.1-lp153.2.13 | SEchart |
| R-SecKW | 0.2-lp153.2.13 | The SecKW Distribution |
| R-SECP | 0.1.5-lp153.1.9 | Statistical Estimation of Cluster Parameters |
| R-secret | 1.1.0-lp153.3.13 | Share Sensitive Information in R Packages |
| R-secrlinear | 1.2.2-lp153.2.4 | Spatially Explicit Capture-Recapture for Linear Habitats |
| R-sectorgap | 0.1.0-lp153.1.4 | Consistent Economic Trend Cycle Decomposition |
| R-secuTrialR | 1.3.3-lp153.1.2 | Handling of Data from the Clinical Data Management System \' |
| R-sedproxy | 0.7.5-lp153.2.2 | Simulation of Sediment Archived Climate Proxy Records |
| R-seeclickfixr | 1.1.0-lp153.4.8 | Access Data from the SeeClickFix Web API |
| R-seecolor | 0.2.0-lp153.2.2 | View Colors Used in R Objects in the Console |
| R-SeedCalc | 1.0.0-lp153.2.13 | Seed Germination and Seedling Growth Indexes |
| R-seedCCA | 3.1-lp153.9.4 | Seeded Canonical Correlation Analysis |
| R-SeedImbibition | 0.1.0-lp153.2.2 | Seed Imbibition Percentage |
| R-seedr | 0.3.0-lp153.2.12 | Hydro and Thermal Time Seed Germination Models in R |
| R-seeds | 0.9.1-lp153.29.2 | Estimate Hidden Inputs using the Dynamic Elastic Net |
| R-SeedVigorIndex | 0.1.0-lp153.2.2 | Seed Vigor Index |
| R-seedwater | 2.0-lp153.1.12 | Models for Drying and Soaking Kinetics of Seeds |
| R-SEER2R | 1.0-lp153.2.13 | reading and writing SEER*STAT data files |
| R-SeerMapper | 1.2.5-lp153.5.7 | A Quick Way to Map U.S. Rates and Data of U.S. States, Count |
| R-SeerMapper2010East | 1.2.5-lp153.1.12 | Supplemental U.S. 2010 Census Tract Boundaries for 20 Easter |
| R-SeerMapper2010Regs | 1.2.5-lp153.1.12 | Supplemental U.S. 2010 Census Tract Boundaries for 19 States |
| R-SeerMapper2010West | 1.2.5-lp153.1.12 | Supplemental U.S. 2010 Census Tract Boundaries for 13 Wester |
| R-SeerMapperEast | 1.2.5-lp153.1.12 | Supplemental U.S. 2000 Census Tract Boundaries for 20 States |
| R-SeerMapperRegs | 1.2.5-lp153.1.12 | Supplemental U.S. 2000 Census Tract Boundaries for 19 States |
| R-SeerMapperWest | 1.2.5-lp153.1.12 | Supplemental U.S. 2000 Census Tract Boundaries for 13 Wester |
| R-seewave | 2.2.3-lp153.1.5 | Sound Analysis and Synthesis |
| R-seg | 0.5.7-lp153.2.13 | Measuring Spatial Segregation |
| R-SegEnvIneq | 1.1-lp153.1.5 | Environmental Inequality Indices Based on Segregation Measur |
| R-segmented | 1.2.0-lp155.1.5 | Regression Models with Break-Points / Change-Points Estimati |
| R-segmented | 1.2.0-1.24 | Regression Models with Break-Points / Change-Points Estimati |
| R-segmented | 1.2.0-lp154.1.10 | Regression Models with Break-Points / Change-Points Estimati |
| R-segmented | 1.2.0-lp153.1.24 | Regression Models with Break-Points / Change-Points Estimati |
| R-segmented | 1.2.0-1.26 | Regression Models with Break-Points / Change-Points Estimati |
| R-segRDA | 1.0.2-lp153.2.13 | Modeling Non-Continuous Linear Responses of Ecological Data |
| R-seguid | 0.1.0-lp153.2.2 | Sequence Globally Unique Identifier (SEGUID) Checksums |
| R-sehrnett | 0.1.0-lp153.1.5 | A Very Nice Interface to \'WordNet\' |
| R-seismic | 1.1-lp153.1.9 | Predict Information Cascade by Self-Exciting Point Process |
| R-Sejong | 0.01-lp153.2.13 | KoNLP static dictionaries and Sejong project resources. |
| R-SEL | 1.0.4-lp153.1.4 | Semiparametric Elicitation |
| R-selcorr | 1.0-lp153.1.11 | Post-Selection Inference for Generalized Linear Models |
| R-Select | 1.4-lp153.10.7 | Determines Species Probabilities Based on Functional Traits |
| R-selectapref | 0.1.2-lp153.2.13 | Analysis of Field and Laboratory Foraging |
| R-selection.index | 1.2.0-lp153.1.5 | Analysis of Selection Index in Plant Breeding |
| R-selectiongain | 2.0.710-lp153.1.8 | A Tool for Calculation and Optimization of the Expected Gain |
| R-selectMeta | 1.0.8-lp153.4.7 | Estimation of Weight Functions in Meta Analysis |
| R-selectr | 0.3.1-lp153.1.24 | Translate CSS Selectors to XPath Expressions |
| R-selectr | 0.4.2-lp153.7.2 | Translate CSS Selectors to XPath Expressions |
| R-selectr | 0.3.1-1.28 | Translate CSS Selectors to XPath Expressions |
| R-selectr | 0.3.1-1.45 | Translate CSS Selectors to XPath Expressions |
| R-SeleMix | 1.0.2-lp153.2.13 | Selective Editing via Mixture Models |
| R-selenider | 0.4.0-lp153.2.2 | Concise, Lazy and Reliable Wrapper for \'chromote\' and \'se |
| R-selenium | 0.1.3-lp153.1.4 | Low-Level Browser Automation Interface |
| R-seleniumPipes | 0.3.7-lp153.4.4 | R Client Implementing the W3C WebDriver Specification |
| R-selfea | 1.0.1-lp153.9.11 | Select Features Reliably with Cohen\'s Effect Sizes |
| R-selfingTree | 0.2-lp153.2.13 | Genotype Probabilities in Intermediate Generations of Inbree |
| R-selfmade | 0.1-lp153.3.11 | Selective Inference for Mixed and Additive Model Estimators |
| R-semantic.assets | 1.1.0-lp153.4.2 | Assets for \'shiny.semantic\' |
| R-semantic.dashboard | 0.2.1-lp153.15.2 | Dashboard with Fomantic UI Support for Shiny |
| R-Semblance | 1.1.0-lp153.15.4 | A Data-Driven Similarity Kernel on Probability Spaces |
| R-semdiag | 0.1.2-lp153.13.11 | Structural equation modeling diagnostics |
| R-semds | 0.9.6-lp153.2.13 | Structural Equation Multidimensional Scaling |
| R-semfindr | 0.1.8-lp153.2.2 | Influential Cases in Structural Equation Modeling |
| R-semgram | 0.1.0-lp153.6.4 | Extracting Semantic Motifs from Textual Data |
| R-semhelpinghands | 0.1.11-lp153.2.2 | Helper Functions for Structural Equation Modeling |
| R-semiArtificial | 2.4.1-lp153.10.2 | Generator of Semi-Artificial Data |
| R-semicmprskcoxmsm | 0.2.0-lp153.9.2 | Use Inverse Probability Weighting to Estimate Treatment Effe |
| R-semicontMANOVA | 0.1.8-lp153.1.4 | Multivariate ANalysis of VAriance with Ridge Regularization |
| R-SEMID | 0.4.1-lp153.3.4 | Identifiability of Linear Structural Equation Models |
| R-SemiEstimate | 1.1.3-lp153.1.12 | Solve Semi-Parametric Estimation by Implicit Profiling |
| R-SemiMarkov | 1.4.6-lp153.2.13 | Multi-States Semi-Markov Models |
| R-seminr | 2.1.0-lp153.1.12 | Building and Estimating Structural Equation Models |
| R-SemiPar | 1.0.4.2-lp153.2.13 | Semiparametic Regression |
| R-SEMModComp | 1.0-lp153.2.13 | Model Comparisons for SEM |
| R-semnar | 0.8.1-lp153.15.2 | Constructing and Interacting with Databases of Presentations |
| R-SemNetDictionaries | 0.2.0-lp153.5.5 | Dictionaries for the \'SemNetCleaner\' Package |
| R-semnova | 0.1.6-lp153.4.7 | Latent Repeated Measures ANOVA |
| R-semPLS | 1.0.10-lp153.2.13 | Structural Equation Modeling Using Partial Least Squares |
| R-SEMrushR | 0.1.0-lp153.2.13 | R Interface to Access the \'SEMrush\' API |
| R-SEMsens | 1.5.5-lp153.2.7 | A Tool for Sensitivity Analysis in Structural Equation Model |
| R-semsfa | 1.1-lp153.4.11 | Semiparametric Estimation of Stochastic Frontier Models |
| R-semTable | 1.8-lp153.22.3 | Structural Equation Modeling Tables |
| R-semTests | 0.5.0-lp153.1.4 | Goodness-of-Fit Testing for Structural Equation Models |
| R-semTools | 0.4_12-1.24 | Useful tools for structural equation modeling |
| R-semTools | 0.5.6-lp153.3.7 | Useful tools for structural equation modeling |
| R-semTools | 0.4_12-1.38 | Useful tools for structural equation modeling |
| R-semTools | 0.4_12-lp153.1.23 | Useful tools for structural equation modeling |
| R-semTools | 0.4_12-lp155.1.5 | Useful tools for structural equation modeling |
| R-semTools | 0.4_12-lp154.1.10 | Useful tools for structural equation modeling |
| R-semtree | 0.9.20-lp153.2.2 | Recursive Partitioning for Structural Equation Models |
| R-semverutils | 0.1.0-lp153.3.12 | Semantic Version Utilities |
| R-sendgridr | 0.4.3-lp153.5.8 | Mail Sender Using \'Sendgrid\' Service |
| R-sendigR | 1.0.0-lp153.17.2 | Enable Cross-Study Analysis of \'CDISC\' \'SEND\' Datasets |
| R-sendmailR | 1.4.0-lp153.1.7 | Send Email Using R |
| R-sendplot | 4.0.0-lp153.1.23 | Tool for sending interactive plots with tool-tip content |
| R-sendplot | 4.0.0-1.24 | Tool for sending interactive plots with tool-tip content |
| R-sendplot | 4.0.0-lp154.1.10 | Tool for sending interactive plots with tool-tip content |
| R-sendplot | 4.0.0-lp155.1.5 | Tool for sending interactive plots with tool-tip content |
| R-sendplot | 4.0.0-1.38 | Tool for sending interactive plots with tool-tip content |
| R-sensibo.sky | 1.0.0-lp153.3.12 | Access to \'Sensibo Sky\' API V2 for Air Conditioners Remote |
| R-sensiPhy | 0.8.5-lp153.17.1 | Sensitivity Analysis for Comparative Methods |
| R-sensiPhy | 0.8.5-lp155.17.1 | Sensitivity Analysis for Comparative Methods |
| R-sensiPhy | 0.8.5-lp154.17.1 | Sensitivity Analysis for Comparative Methods |
| R-sensitivity2x2xk | 1.01-lp153.2.13 | Sensitivity Analysis for 2x2xk Tables in Observational Studi |
| R-sensitivityCalibration | 0.0.1-lp153.30.2 | A Calibrated Sensitivity Analysis for Matched Observational |
| R-SensitivityCaseControl | 2.2-lp153.1.9 | Sensitivity Analysis for Case-Control Studies |
| R-sensitivityfull | 1.5.6-lp153.2.13 | Sensitivity Analysis for Full Matching in Observational Stud |
| R-sensitivitymult | 1.0.2-lp153.2.13 | Sensitivity Analysis for Observational Studies with Multiple |
| R-sensitivitymv | 1.4.3-lp153.2.13 | Sensitivity Analysis in Observational Studies |
| R-sensitivitymw | 2.1-lp153.1.11 | Sensitivity Analysis for Observational Studies Using Weighte |
| R-sensitivityPStrat | 1.0.6-lp153.2.13 | Principal Stratification Sensitivity Analysis Functions |
| R-sensobol | 0.2.2-lp153.5.13 | Computation of High-Order Sobol\' Sensitivity Indices |
| R-SensoMineR | 1.20-lp153.2.30 | Sensory data analysis with R |
| R-sensory | 1.1-lp153.2.13 | Simultaneous Model-Based Clustering and Imputation via a Pro |
| R-SenSpe | 1.3-lp153.1.4 | Estimating Specificity at Controlled Sensitivity, or Vice Ve |
| R-sensR | 1.5.3-lp153.1.4 | Thurstonian Models for Sensory Discrimination |
| R-SenSrivastava | 2015.6.25.1-lp153.1.4 | Datasets from Sen & Srivastava |
| R-senstrat | 1.0.3-lp153.2.13 | Sensitivity Analysis for Stratified Observational Studies |
| R-SensusR | 2.3.1-lp153.22.2 | Sensus Analytics |
| R-sentiment.ai | 0.1.1-lp153.7.5 | Simple Sentiment Analysis Using Deep Learning |
| R-SentimentAnalysis | 1.3.5-lp153.1.5 | Dictionary-Based Sentiment Analysis |
| R-sentimentr | 2.9.0-lp153.11.2 | Calculate Text Polarity Sentiment |
| R-SenTinMixt | 1.0.0-lp153.12.5 | Parsimonious Mixtures of MSEN and MTIN Distributions |
| R-sentryR | 1.1.2-lp153.2.2 | Send Errors and Messages to Sentry |
| R-SEofM | 0.1.0-lp153.1.12 | Standard Error of Measurement |
| R-SEPaLS | 0.1.0-lp153.1.5 | Shrinkage for Extreme Partial Least-Squares (SEPaLS) |
| R-sEparaTe | 0.3.2-lp153.1.5 | Maximum Likelihood Estimation and Likelihood Ratio Test Func |
| R-separationplot | 1.4-lp153.7.2 | Separation Plots |
| R-sephora | 0.1.31-lp153.2.3 | Statistical Estimation of Phenological Parameters |
| R-sepkoski | 0.0.1-lp153.1.7 | Sepkoski\'s Fossil Marine Animal Genera Compendium |
| R-seplyr | 1.0.4-lp153.4.8 | Improved Standard Evaluation Interfaces for Common Data Mani |
| R-SeqAlignR | 0.1.1-lp153.1.4 | Sequence Alignment and Visualization Tool |
| R-SeqAlloc | 1.0-lp153.2.13 | Sequential Allocation for Prospective Experiments |
| R-seqCBS | 1.2.1-lp153.2.13 | Copy Number Profiling using Sequencing and CBS |
| R-seqDesign | 1.2-lp153.2.13 | Simulation and Group Sequential Monitoring of Randomized Two |
| R-SeqExpMatch | 0.1.0-lp153.1.12 | Sequential Experimental Design via Matching on-the-Fly |
| R-seqhandbook | 0.1.1-lp153.1.5 | Miscellaneous Tools for Sequence Analysis |
| R-seqICP | 1.1-lp153.3.7 | Sequential Invariant Causal Prediction |
| R-seqinr | 4.2.36-lp153.1.4 | Biological Sequences Retrieval and Analysis |
| R-seqinr | 3.6.1-lp154.1.10 | Biological Sequences Retrieval and Analysis |
| R-seqinr | 3.6.1-lp153.1.23 | Biological Sequences Retrieval and Analysis |
| R-seqinr | 3.6.1-1.24 | Biological Sequences Retrieval and Analysis |
| R-seqinr | 3.6.1-1.31 | Biological Sequences Retrieval and Analysis |
| R-SeqMADE | 1.0-lp153.2.13 | Network Module-Based Model in the Differential Expression An |
| R-seqmon | 2.5-lp153.2.2 | Group Sequential Design Class for Clinical Trials |
| R-seqRFLP | 1.0.1-lp153.2.13 | Simulation and visualization of restriction enzyme cutting p |
| R-seqSHP | 0.1.1-lp153.2.2 | Building Sequences from SHP Waves |
| R-seqtest | 0.1.0-lp153.2.13 | Sequential Triangular Test |
| R-sequence | 2.0-lp153.2.13 | Analysis of Sequences of Events |
| R-Sequential | 4.3.3-lp153.1.4 | Exact Sequential Analysis for Poisson and Binomial Data |
| R-SequentialDesign | 1.0-lp153.3.12 | Observational Database Study Planning using Exact Sequential |
| R-sequoia | 2.11.2-lp153.2.2 | Pedigree Inference from SNPs |
| R-sergeant | 0.9.1-lp153.9.2 | Tools to Transform and Query Data with Apache Drill |
| R-serial | 3.0-lp153.2.13 | The Serial Interface Package |
| R-seriation | 1.2.8-lp153.2.23 | Infrastructure for Ordering Objects Using Seriation |
| R-seriation | 1.2.8-2.34 | Infrastructure for Ordering Objects Using Seriation |
| R-seriation | 1.2.8-2.30 | Infrastructure for Ordering Objects Using Seriation |
| R-serieslcb | 0.4.0-lp153.13.2 | Lower Confidence Bounds for Binomial Series System |
| R-seroincidence | 2.0.0-lp153.2.13 | Estimating Infection Rates from Serological Data |
| R-serp | 0.2.4-lp153.1.11 | Smooth Effects on Response Penalty for CLM |
| R-servosphereR | 0.1.1-lp153.13.7 | Analyze Data Generated from Syntech Servosphere Trials |
| R-sesem | 1.0.2-lp153.5.7 | Spatially Explicit Structural Equation Modeling |
| R-SEset | 1.0.1-lp153.1.10 | Computing Statistically-Equivalent Path Models |
| R-SESraster | 0.7.0-lp153.2.4 | Raster Randomization for Null Hypothesis Testing |
| R-session | 1.0.3-lp153.2.13 | Functions for interacting with, saving and restoring R sessi |
| R-sessioninfo | 1.1.1-lp155.1.5 | R Session Information |
| R-sessioninfo | 1.1.1-1.25 | R Session Information |
| R-sessioninfo | 1.1.1-lp153.1.24 | R Session Information |
| R-sessioninfo | 1.2.2-lp153.2.8 | R Session Information |
| R-sessioninfo | 1.1.1-1.29 | R Session Information |
| R-sessioninfo | 1.1.1-lp154.1.10 | R Session Information |
| R-set | 1.2-lp153.19.2 | Set Operation |
| R-setartree | 0.2.1-lp153.1.5 | SETAR-Tree - A Novel and Accurate Tree Algorithm for Global |
| R-SetMethods | 4.0-lp153.6.2 | Functions for Set-Theoretic Multi-Method Research and Advanc |
| R-SETPath | 1.0-lp153.2.13 | Spiked Eigenvalue Test for Pathway data |
| R-SetRank | 1.1.0-lp153.7.5 | Advanced Gene Set Enrichment Analysis |
| R-setRNG | 2024.2.1-lp153.1.4 | Set (Normal) Random Number Generator and Seed |
| R-sets | 1.0.25-lp153.1.4 | Sets, Generalized Sets, Customizable Sets and Intervals |
| R-setter | 0.0.1-lp153.2.13 | Mutators that Work with Pipes |
| R-settings | 0.2.4-1.36 | Software Option Settings Manager for R |
| R-settings | 0.2.4-1.26 | Software Option Settings Manager for R |
| R-settings | 0.2.7-lp153.1.12 | Software Option Settings Manager for R |
| R-settings | 0.2.4-lp154.1.10 | Software Option Settings Manager for R |
| R-settings | 0.2.4-lp153.1.24 | Software Option Settings Manager for R |
| R-settings | 0.2.4-lp155.1.5 | Software Option Settings Manager for R |
| R-sever | 0.0.7-lp153.12.2 | Customise \'Shiny\' Disconnected Screens and Error Messages |
| R-severity | 2.0-lp153.2.13 | Mayo\'s Post-data Severity Evaluation |
| R-sewage | 0.2.5-lp153.8.2 | A Light-Weight Data Pipelining Tool |
| R-sf | 0.9.6-lp155.1.5 | Simple Features for R |
| R-sf | 0.9.6-lp154.1.10 | Simple Features for R |
| R-sf | 0.9.6-lp153.1.28 | Simple Features for R |
| R-sfa | 1.0.1-lp153.2.13 | Stochastic Frontier Analysis |
| R-sfadv | 1.0.1-lp153.2.13 | Advanced Methods for Stochastic Frontier Analysis |
| R-sfaR | 0.1.1-lp153.1.9 | Stochastic Frontier Analysis using R |
| R-sfc | 0.1.0-lp153.17.2 | Substance Flow Computation |
| R-sfcentral | 0.1.0-lp153.3.2 | Spatial Centrality and Dispersion Statistics |
| R-sfd | 0.1.0-lp153.1.4 | Space-Filling Design Library |
| R-sFFLHD | 0.1.2-lp153.5.8 | Sequential Full Factorial-Based Latin Hypercube Design |
| R-sfhotspot | 0.8.0-lp153.2.4 | Hot-Spot Analysis with Simple Features |
| R-sfinx | 1.7.99-lp153.2.13 | Straightforward Filtering Index for AP-MS Data Analysis (SFI |
| R-sfnetworks | 0.6.4-lp153.2.2 | Tidy Geospatial Networks |
| R-sfo | 0.1.2-lp153.1.5 | San Francisco International Airport Monthly Air Passengers |
| R-sfsmisc | 1.1.2-1.38 | Utilities from \'Seminar fuer Statistik\' ETH Zurich |
| R-sfsmisc | 1.1.2-lp154.1.10 | Utilities from \'Seminar fuer Statistik\' ETH Zurich |
| R-sfsmisc | 1.1.2-lp155.1.5 | Utilities from \'Seminar fuer Statistik\' ETH Zurich |
| R-sfsmisc | 1.1.2-1.30 | Utilities from \'Seminar fuer Statistik\' ETH Zurich |
| R-sfsmisc | 1.1.2-lp153.1.26 | Utilities from \'Seminar fuer Statistik\' ETH Zurich |
| R-sft | 2.2.1-lp153.17.4 | Functions for Systems Factorial Technology Analysis of Data |
| R-SFtools | 0.1.0-lp153.3.7 | Space Filling Based Tools for Data Mining |
| R-sgat | 0.9-lp153.12.2 | Extract Information from Google\'s \"Popular Times\" |
| R-SGB | 1.0.1.1-lp153.1.4 | Simplicial Generalized Beta Regression |
| R-sGBJ | 0.1.0-lp153.3.7 | Survival Extension of the Generalized Berk-Jones Test |
| R-sgboost | 0.1.3-lp153.2.2 | Sparse-Group Boosting |
| R-SGCS | 2.7-lp153.2.13 | Spatial Graph Based Clustering Summaries for Spatial Point P |
| R-sgee | 0.6.0-lp153.2.12 | Stagewise Generalized Estimating Equations |
| R-sgeostat | 1.0.27-lp153.2.13 | An Object-oriented Framework for Geostatistical Modeling in |
| R-SGL | 1.3-lp153.2.13 | Fit a GLM (or Cox Model) with a Combination of Lasso and Gro |
| R-sglasso | 1.2.6-lp153.2.4 | Lasso Method for RCON(V,E) Models |
| R-sglg | 0.2.2-lp153.15.2 | Fitting Semi-Parametric Generalized log-Gamma Regression Mod |
| R-sglr | 0.8-lp153.9.2 | Sequential Generalized Likelihood Ratio Decision Boundaries |
| R-sgmcmc | 0.2.5-lp153.11.7 | Stochastic Gradient Markov Chain Monte Carlo |
| R-sgmodel | 0.1.2-lp153.1.4 | Solves a Generic Stochastic Growth Model with a Representati |
| R-sGMRFmix | 0.3.0-lp153.18.2 | Sparse Gaussian Markov Random Field Mixtures for Anomaly Det |
| R-sgo | 0.9.2-lp153.1.8 | Simple Geographical Operations (with OSGB36) |
| R-sgolay | 1.0.3-lp153.1.5 | Efficient Savitzky-Golay Filtering |
| R-sgpv | 1.1.0-lp153.2.13 | Calculate Second-Generation p-Values and Associated Measures |
| R-sgr | 1.3.1-lp153.1.10 | Sample Generation by Replacement |
| R-sgsR | 1.4.5-lp153.2.2 | Structurally Guided Sampling |
| R-sgstar | 0.1.2-lp153.9.2 | Seasonal Generalized Space Time Autoregressive (S-GSTAR) Mod |
| R-shades | 1.4.0-lp153.2.13 | Simple Colour Manipulation |
| R-shadow | 0.7.1-lp153.4.7 | Geometric Shadow Calculations |
| R-shadowr | 0.0.2-lp153.3.4 | Selenium Plugin to Manage Multi Level Shadow Elements on Web |
| R-ShapDoE | 1.0.0-lp153.2.2 | Approximation of the Shapley Values Based on Experimental De |
| R-shape | 1.4.2-1.38 | Functions for plotting graphical shapes, colors |
| R-shape | 1.4.2-lp155.1.5 | Functions for plotting graphical shapes, colors |
| R-shape | 1.4.2-lp153.1.24 | Functions for plotting graphical shapes, colors |
| R-shape | 1.4.2-1.26 | Functions for plotting graphical shapes, colors |
| R-shape | 1.4.2-lp154.1.10 | Functions for plotting graphical shapes, colors |
| R-shape | 1.4.6.1-lp153.1.3 | Functions for plotting graphical shapes, colors |
| R-ShapeChange | 1.5-lp153.1.5 | Change-Point Estimation using Shape-Restricted Splines |
| R-shapefiles | 0.7.2-lp153.1.8 | Read and Write ESRI Shapefiles |
| R-shapeNA | 0.0.2-lp153.1.12 | M-Estimation of Shape for Data with Missing Values |
| R-ShapePattern | 3.0.1-lp153.3.4 | Tools for Analyzing Shapes and Patterns |
| R-shapeR | 1.0.1-lp153.1.7 | Collection and Analysis of Otolith Shape Data |
| R-ShapeRotator | 0.1.0-lp153.1.13 | Standardised Rigid Rotations of Articulated Three-Dimensiona |
| R-shapes | 1.2.7-lp153.2.5 | Statistical shape analysis |
| R-ShapeSelectForest | 1.7-lp153.2.4 | Shape Selection for Landsat Time Series of Forest Dynamics |
| R-ShapleyOutlier | 0.1.1-lp153.2.2 | Multivariate Outlier Explanations using Shapley Values and M |
| R-shapper | 0.1.3-lp153.17.5 | Wrapper of Python Library \'shap\' |
| R-shar | 2.3-lp153.1.4 | Species-Habitat Associations |
| R-SharkDemography | 1.1.0-lp153.2.2 | Shark Demographic Analyses Using Leslie Matrix Models |
| R-sharpData | 1.4-lp153.1.13 | Data Sharpening |
| R-SharpeR | 1.3.0-lp153.1.12 | Statistical Significance of the Sharpe Ratio |
| R-sharpPen | 1.9-lp153.1.5 | Penalized Data Sharpening for Local Polynomial Regression |
| R-sharpr2 | 1.1.1.0-lp153.2.13 | Estimating Regulatory Scores and Identifying ATAC-STARR Data |
| R-sharpshootR | 2.3.1-lp153.1.2 | A Soil Survey Toolkit |
| R-shattering | 1.0.4-lp153.4.13 | Estimate the Shattering Coefficient for a Particular Dataset |
| R-shatteringdt | 0.1.0-lp153.3.12 | Provide SLT Tools for \'rpart\' and \'tree\' to Study Decisi |
| R-shazam | 1.0.2-lp153.3.13 | Immunoglobulin Somatic Hypermutation Analysis |
| R-SHELF | 1.10.0-lp153.2.2 | Tools to Support the Sheffield Elicitation Framework |
| R-sherlock | 0.7.0-lp153.5.3 | Graphical Displays for Structured Problem Solving and Diagno |
| R-shidashi | 0.1.6-lp153.3.2 | A Shiny Dashboard Template System |
| R-ShiftConvolvePoibin | 1.0.0-lp153.2.13 | Exactly Computing the Tail of the Poisson-Binomial Distribut |
| R-shiftR | 1.5-lp153.2.13 | Fast Enrichment Analysis via Circular Permutations |
| R-ShiftShareSE | 1.1.0-lp153.1.9 | Inference in Regressions with Shift-Share Structure |
| R-shinipsum | 0.1.1-lp153.4.2 | Lorem-Ipsum-Like Helpers for Fast Shiny Prototyping |
| R-shiny | 1.4.0-3.14 | Web Application Framework for R |
| R-shiny | 1.4.0-3.51 | Web Application Framework for R |
| R-shiny | 1.4.0-lp153.3.14 | Web Application Framework for R |
| R-shiny.blueprint | 0.3.0-lp153.2.2 | Palantir\'s \'Blueprint\' for \'Shiny\' Apps |
| R-shiny.emptystate | 0.1.0-lp153.4.2 | Empty State Components for \'Shiny\' |
| R-shiny.exe | 0.2.0-lp153.1.5 | Launch a Shiny Application without Opening R or RStudio |
| R-shiny.fluent | 0.4.0-lp153.2.2 | Microsoft Fluent UI for Shiny Apps |
| R-shiny.i18n | 0.3.0-lp153.4.2 | Shiny Applications Internationalization |
| R-shiny.info | 0.2.0-lp153.13.3 | \'shiny\' Info |
| R-shiny.pwa | 0.2.1-lp153.15.2 | Progressive Web App Support for Shiny |
| R-shiny.react | 0.4.0-lp153.2.2 | Tools for Using React in Shiny |
| R-shiny.reglog | 0.5.2-lp153.9.2 | Optional Login and Registration Module System for ShinyApps |
| R-shiny.router | 0.3.1-lp153.5.2 | Basic Routing for Shiny Web Applications |
| R-shiny.semantic | 0.5.1-lp153.2.2 | Semantic UI Support for Shiny |
| R-shiny.tailwind | 0.2.2-lp153.7.2 | \'TailwindCSS\' for Shiny Apps |
| R-shiny.worker | 0.0.1-lp153.11.2 | Delegate Jobs for Shiny Web Applications |
| R-shinyAce | 0.2.1-2.90 | Ace Editor Bindings for Shiny |
| R-shinyAce | 0.2.1-lp153.2.14 | Ace Editor Bindings for Shiny |
| R-shinyAce | 0.4.2-lp153.8.2 | Ace Editor Bindings for Shiny |
| R-shinyAce | 0.2.1-2.14 | Ace Editor Bindings for Shiny |
| R-shinyaframe | 1.0.1-lp153.19.2 | \'WebVR\' Data Visualizations with \'RStudio Shiny\' and \'M |
| R-shinyalert | 3.1.0-lp153.2.2 | Easily Create Pretty Popup Messages (Modals) in \'Shiny\' |
| R-shinyanimate | 0.4.0-lp153.3.2 | Animation for \'shiny\' Elements |
| R-shinybatch | 0.3-lp153.1.12 | Launch Tasks in Batch |
| R-shinybootstrap2 | 0.2.1-lp153.7.12 | Bootstrap 2 Web Components for Use with Shiny |
| R-shinybrowser | 1.0.0-lp153.8.2 | Find Out Information About a User\'s Web Browser in \'Shiny\ |
| R-shinyBS | 0.61.1-lp153.9.2 | Twitter Bootstrap Components for Shiny |
| R-shinybusy | 0.3.3-lp153.3.2 | Busy Indicators and Notifications for \'Shiny\' Applications |
| R-shinyChakraSlider | 0.1.0-lp153.15.2 | Combined Slider and Numeric Input for \'Shiny\' |
| R-shinyChakraUI | 1.1.1-lp153.10.2 | A Wrapper of the \'React\' Library \'Chakra UI\' for \'Shiny |
| R-shinyChatR | 1.2.0-lp153.2.2 | R Shiny Chat Module |
| R-shinyCohortBuilder | 0.2.1-lp153.6.2 | Modular Cohort-Building Framework for Analytical Dashboards |
| R-shinycustomloader | 0.9.0-lp153.13.2 | Custom Loader for Shiny Outputs |
| R-shinyCyJS | 1.0.0-lp153.7.2 | Create Interactive Network Visualizations in R and \'shiny\' |
| R-shinydashboard | 0.6.1-lp153.1.14 | Create Dashboards with \'Shiny\' |
| R-shinydashboard | 0.7.2-lp153.10.2 | Create Dashboards with \'Shiny\' |
| R-shinydashboard | 0.6.1-1.14 | Create Dashboards with \'Shiny\' |
| R-shinydashboard | 0.6.1-1.90 | Create Dashboards with \'Shiny\' |
| R-shinyDatetimePickers | 1.2.0-lp153.2.2 | Some Datetime Pickers for \'Shiny\' |
| R-shinydbauth | 1.0.0.1-lp153.4.2 | Simple Authentification for \'shiny\' Applications |
| R-shinydisconnect | 0.1.1-lp153.4.2 | Show a Nice Message When a \'Shiny\' App Disconnects or Erro |
| R-shinydlplot | 0.1.4-lp153.12.2 | Add a Download Button to a \'shiny\' Plot or \'plotly\' |
| R-shinyDND | 0.1.0-lp153.15.2 | Shiny Drag-n-Drop |
| R-shinydrive | 0.1.3-lp153.13.2 | File Sharing Shiny Module |
| R-shinyEffects | 0.2.0-lp153.12.2 | Customize Your Web Apps with Fancy Effects |
| R-shinyFeedback | 0.4.0-lp153.9.2 | Display User Feedback in Shiny Apps |
| R-shinyFiles | 0.9.3-lp153.7.2 | A Server-Side File System Viewer for Shiny |
| R-shinyfilter | 0.1.1-lp153.13.2 | Use Interdependent Filters on Table Columns in Shiny Apps |
| R-shinyfullscreen | 1.1.0-lp153.12.2 | Display \'HTML\' Elements on Full Screen in \'Shiny\' Apps |
| R-shinyGizmo | 0.4.2-lp153.6.2 | Custom Components for Shiny Applications |
| R-shinyglide | 0.1.4-lp153.5.2 | Glide Component for Shiny Applications |
| R-shinyHeatmaply | 0.2.0-lp153.30.3 | Deploy \'heatmaply\' using \'shiny\' |
| R-shinyhelper | 0.3.2-lp153.15.2 | Easily Add Markdown Help Files to \'shiny\' App Elements |
| R-shinyhttr | 1.1.0-lp153.22.2 | Progress Bars for Downloads in \'shiny\' Apps |
| R-shinyIncubator | 0.2.1_20141118-lp153.1.14 | Shiny incubator project |
| R-shinyIncubator | 0.2.1_20141118-1.14 | Shiny incubator project |
| R-shinyIncubator | 0.2.1_20141118-1.90 | Shiny incubator project |
| R-shinyInvoice | 0.0.5-lp153.2.2 | Shiny App - Generate a Pdf Invoice with \'Rmarkdown\' |
| R-shinyjqui | 0.4.1-lp153.13.2 | \'jQuery UI\' Interactions and Effects for Shiny |
| R-shinyjs | 0.9.1-2.14 | Easily Improve the User Experience of Your Shiny Apps in Sec |
| R-shinyjs | 0.9.1-lp153.2.14 | Easily Improve the User Experience of Your Shiny Apps in Sec |
| R-shinyjs | 0.9.1-2.88 | Easily Improve the User Experience of Your Shiny Apps in Sec |
| R-shinyjs | 2.1.0-lp153.7.2 | Easily Improve the User Experience of Your Shiny Apps in Sec |
| R-shinyKGode | 1.0.5-lp153.19.2 | An Interactive Application for ODE Parameter Inference Using |
| R-shinyKnobs | 0.1.3-lp153.15.2 | A Collection of Knob Inputs for \'shiny\' |
| R-shinylight | 1.2-lp153.2.2 | Web Interface to \'R\' Functions |
| R-shinylogs | 0.2.1-lp153.9.2 | Record Everything that Happens in a \'Shiny\' Application |
| R-shinyLP | 1.1.3-lp153.3.2 | Bootstrap Landing Home Pages for Shiny Applications |
| R-shinymanager | 1.0.410-lp153.14.2 | Authentication Management for \'Shiny\' Applications |
| R-shinymaterial | 1.2.0-lp153.15.2 | Implement Material Design in Shiny Applications |
| R-shinyMatrix | 0.8.0-lp153.2.2 | Shiny Matrix Input Field |
| R-shinyMergely | 0.2.0-lp153.8.2 | Compare and Merge Two Files with a \'Shiny\' App |
| R-shinymeta | 0.2.0.3-lp153.11.2 | Export Domain Logic from Shiny using Meta-Programming |
| R-shinymgr | 1.1.0-lp153.2.2 | A Framework for Building, Managing, and Stitching \'shiny\' |
| R-shinyMolBio | 0.2-lp153.25.3 | Molecular Biology Visualization Tools for \'Shiny\' Apps |
| R-shinyMonacoEditor | 1.1.0-lp153.13.2 | The \'Monaco\' Editor in \'Shiny\' |
| R-shinyNotes | 0.0.2-lp153.5.2 | Shiny Module for Taking Free-Form Notes |
| R-shinyobjects | 0.2.0-lp153.18.2 | Access Reactive Data Interactively |
| R-shinypanel | 0.1.5-lp153.9.2 | Shiny Control Panel |
| R-shinypanels | 0.5.0-lp153.15.2 | Shiny Layout with Collapsible Panels |
| R-shinypivottabler | 1.2-lp153.9.2 | Shiny Module to Create Pivot Tables |
| R-shinyPredict | 0.1.1-lp153.1.12 | Predictions using Shiny |
| R-shinyquiz | 0.0.1-lp153.4.2 | Create Interactive Quizzes in \'shiny\' |
| R-shinyr | 0.3.0-lp153.16.3 | Data Insights Through Inbuilt R Shiny App |
| R-shinyRadioMatrix | 0.2.1-lp153.8.2 | Create a Matrix with Radio Buttons |
| R-shinyRatings | 0.1.0-lp153.4.2 | An Intuitive Way of Providing Star Rating in a \'shiny\' App |
| R-shinyrecap | 0.1.0-lp153.9.11 | Shiny User Interface for Multiple Source Capture Recapture M |
| R-shinyreforms | 0.0.1-lp153.15.2 | Add Forms to your \'Shiny\' App |
| R-shinyRGL | 0.1.0-lp153.17.7 | Shiny Wrappers for RGL |
| R-shinyscreenshot | 0.2.1-lp153.4.2 | Capture Screenshots of Entire Pages or Parts of Pages in \'S |
| R-shinySearchbar | 1.0.0-lp153.13.2 | Shiny Searchbar - An Input Widget for Highlighting Text and |
| R-shinySelect | 1.3.0-lp153.6.2 | A Wrapper of the \'react-select\' Library |
| R-shinyservicebot | 0.1.0-lp153.19.2 | Servicebot \'Shiny\' Integration |
| R-shinyShortcut | 0.1.0-lp153.2.13 | Creates an Executable Shortcut for Shiny Applications |
| R-shinySIR | 0.1.2-lp153.23.2 | Interactive Plotting for Mathematical Models of Infectious D |
| R-shinysurveys | 0.2.0-lp153.11.2 | Create and Deploy Surveys in \'Shiny\' |
| R-ShinyTester | 0.1.0-lp153.17.2 | Functions to Minimize Bonehead Moves While Working with \'sh |
| R-shinythemes | 1.1.1-1.90 | Themes for Shiny |
| R-shinythemes | 1.1.1-lp153.1.14 | Themes for Shiny |
| R-shinythemes | 1.1.1-1.14 | Themes for Shiny |
| R-shinythemes | 1.2.0-lp153.11.2 | Themes for Shiny |
| R-shinyTime | 1.0.3-lp153.8.2 | A Time Input Widget for Shiny |
| R-shinytitle | 0.1.0-lp153.10.2 | Update Browser Window Title in \'shiny\' Session |
| R-shinyToastify | 2.0.0-lp153.11.2 | Pretty Notifications for \'Shiny\' |
| R-shinytoastr | 2.2.0-lp153.3.2 | Notifications from \'Shiny\' |
| R-shinyTree | 0.3.1-lp153.6.2 | jsTree Bindings for Shiny |
| R-shinyvalidate | 0.1.3-lp153.4.2 | Input Validation for Shiny Apps |
| R-shinyWidgets | 0.4.0-1.90 | Custom Inputs Widgets for Shiny |
| R-shinyWidgets | 0.4.0-lp153.1.14 | Custom Inputs Widgets for Shiny |
| R-shinyWidgets | 0.8.6-lp153.2.2 | Custom Inputs Widgets for Shiny |
| R-shinyWidgets | 0.4.0-1.14 | Custom Inputs Widgets for Shiny |
| R-shinyXYpad | 0.2.0-lp153.7.2 | XY Controller for \'Shiny\' |
| R-shinyypr | 0.0.2-lp153.13.12 | Run Ypr Shiny App |
| R-SHIP | 1.0.2-lp153.2.13 | SHrinkage covariance Incorporating Prior knowledge |
| R-shipunov | 1.17.1-lp153.1.7 | Miscellaneous Functions from Alexey Shipunov |
| R-shock | 1.0-lp153.6.4 | Slope Heuristic for Block-Diagonal Covariance Selection in H |
| R-shopifyadsR | 0.1.0-lp153.1.7 | Get \'Shopify\' Ads Data via the \'Windsor.ai\' API |
| R-shopifyr | 1.0.0-lp153.3.12 | An R Interface to the Shopify API |
| R-shoredate | 1.1.1-lp153.1.2 | Shoreline Dating Coastal Stone Age Sites |
| R-shortcuts | 1.4.0-lp153.2.13 | Useful Shortcuts to Interact with \'RStudio\' Scripts |
| R-ShortForm | 0.5.5-lp153.1.2 | Automatic Short Form Creation |
| R-shortIRT | 0.1.3-lp153.1.4 | Procedures Based on Item Response Theory Models for the Deve |
| R-shorts | 3.2.0-lp153.2.2 | Short Sprints |
| R-shotGroups | 0.8.2-lp153.1.8 | Analyze Shot Group Data |
| R-showimage | 1.0.0-lp153.2.13 | Show an Image on an \'R\' Graphics Device |
| R-shp2graph | 1.0-lp153.2.4 | Convert a \'SpatialLinesDataFrame\' -Class Object to an \'ig |
| R-shrink | 1.2.3-lp153.5.2 | Global, Parameterwise and Joint Shrinkage Factor Estimation |
| R-shroomDK | 0.3.0-lp153.1.4 | Accessing the Flipside Crypto ShroomDK API |
| R-shuffle | 1.0.1-lp153.2.13 | The Shuffle Estimator for Explainable Variance |
| R-shuffleCI | 0.1.0-lp153.2.13 | Confidence Intervals Compared via Shuffling |
| R-shutterplot | 0.1.0-lp153.1.13 | The R Shutter Plot Package |
| R-shutterstock | 0.1.0-lp153.2.12 | Access \'Shutterstock\' REST API |
| R-SI | 0.2.0-lp153.2.13 | Stochastic Integrating |
| R-siar | 4.2-lp153.13.11 | Stable Isotope Analysis in R |
| R-SIBERG | 2.0.3-lp153.1.9 | Systematic Identification of Bimodally Expressed Genes Using |
| R-sicegar | 0.2.4-lp153.8.7 | Analysis of Single-Cell Viral Growth Curves |
| R-siconfir | 2.0.3-lp153.3.7 | Quick and Easy Access Tax and Accounting Data of Brazil |
| R-siconvr | 0.0.1-lp153.8.7 | Fetch Data from Plataforma +Brasil (SICONV) |
| R-sideChannelAttack | 1.0.6-lp153.6.12 | Side Channel Attack |
| R-SIDES | 1.18-lp153.1.5 | Subgroup Identification Based on Differential Effect Search |
| R-sidier | 4.1.0-lp153.15.4 | Substitution and Indel Distances to Infer Evolutionary Relat |
| R-sidrar | 0.2.9-lp153.7.4 | An Interface to IBGE\'s SIDRA API |
| R-Sie2nts | 0.1.0-lp153.10.2 | Sieve Methods for Non-Stationary Time Series |
| R-siebanxicor | 1.0.0-lp153.2.12 | Query Data Series from Bank of Mexico |
| R-SiER | 0.1.0-lp153.2.13 | Signal Extraction Approach for Sparse Multivariate Response |
| R-sievetest | 1.2.3-lp153.2.13 | Laboratory Sieve Test Reporting Functions |
| R-SIfEK | 0.1.0-lp153.3.7 | Statistical Inference for Enzyme Kinetics |
| R-siftr | 1.1.0-lp153.1.5 | Fuzzily Search a Dataframe to Find Relevant Columns |
| R-sig | 0.0.6-lp153.1.9 | Print Function Signatures |
| R-sigclust | 1.1.0.1-lp153.1.8 | Statistical Significance of Clustering |
| R-sigInt | 0.2.0-lp153.8.2 | Estimate the Parameters of a Discrete Crisis-Bargaining Game |
| R-sigmajs | 0.1.5-lp153.27.2 | Interface to \'Sigma.js\' Graph Visualization Library |
| R-sigmaNet | 1.1.0-lp153.3.12 | Render Graphs Using \'Sigma.js\' |
| R-sigmoid | 1.4.0-lp153.1.9 | Sigmoid Functions for Machine Learning |
| R-signed.backbones | 0.91.5-lp153.5.2 | Extract the Signed Backbones of Weighted Networks |
| R-signibox | 1.0-lp153.1.10 | Statistical Significance Marks on Boxplots |
| R-signmedian.test | 1.5.1-lp153.2.13 | Perform Exact Sign Test and Asymptotic Sign Test in Large Sa |
| R-signs | 0.1.2-lp153.7.4 | Insert Proper Minus Signs |
| R-SigOptR | 0.0.1-lp153.2.12 | R API Wrapper for SigOpt |
| R-sigora | 3.1.1-lp153.1.11 | Signature Overrepresentation Analysis |
| R-sigr | 1.1.5-lp153.1.5 | Succinct and Correct Statistical Summaries for Reports |
| R-SII | 1.0.3.1-lp153.2.13 | Calculate ANSI S3.5-1997 Speech Intelligibility Index |
| R-siie | 0.4.0-lp153.1.7 | Superior Identification Index and Its Extensions |
| R-silicate | 0.7.1-lp153.2.7 | Common Forms for Complex Hierarchical and Relational Data St |
| R-SILM | 1.0.0-lp153.3.11 | Simultaneous Inference for Linear Models |
| R-sim.BA | 0.1.0-lp153.2.2 | Simulation-Based Bias Analysis for Observational Studies |
| R-Sim.DiffProc | 4.9-lp153.2.2 | Simulation of Diffusion Processes |
| R-Sim.PLFN | 1.0-lp153.2.13 | Simulation of Piecewise Linear Fuzzy Numbers |
| R-sim1000G | 1.40-lp153.14.2 | Genotype Simulations for Rare or Common Variants Using Haplo |
| R-sim2Dpredictr | 0.1.1-lp153.2.5 | Simulate Outcomes Using Spatially Dependent Design Matrices |
| R-simba | 0.3.5-lp153.2.13 | A Collection of functions for similarity analysis of vegetat |
| R-simboot | 0.2.8-lp153.1.4 | Simultaneous Inference for Diversity Indices |
| R-simcausal | 0.5.6-lp153.6.4 | Simulating Longitudinal Data with Causal Inference Applicati |
| R-SimComp | 3.3-lp153.3.13 | Simultaneous Comparisons for Multiple Endpoints |
| R-SimCop | 0.7.0-lp153.2.13 | Simulate from Arbitrary Copulae |
| R-SimCorMultRes | 1.9.0-lp153.1.5 | Simulates Correlated Multinomial Responses |
| R-simctest | 2.6-lp153.2.13 | Safe Implementation of Monte Carlo Tests |
| R-simdd | 1.1.2-lp153.1.4 | Simulation of Fisher Bingham and Related Directional Distrib |
| R-SimDissolution | 0.1.0-lp153.13.7 | Modeling and Assessing Similarity of Drug Dissolutions Profi |
| R-simdistr | 1.0.1-lp153.2.13 | Assessment of Data Trial Distributions According to the Carl |
| R-simDNAmixtures | 1.0.1-lp153.7.4 | Simulate Forensic DNA Mixtures |
| R-simecol | 0.8.14-lp153.2.7 | Simulation of Ecological (and Other) Dynamic Systems |
| R-simEd | 2.0.1-lp153.1.4 | Simulation Education |
| R-SimEngine | 1.4.0-lp153.2.2 | A Modular Framework for Statistical Simulations in R |
| R-simest | 0.4-lp153.4.11 | Constrained Single Index Model Estimation |
| R-SimEUCartelLaw | 1.0.3-lp153.1.9 | Simulation of Legal Exemption System for European Cartel Law |
| R-SimEvolEnzCons | 2.0.0-lp153.3.9 | Simulation of Evolution of Enzyme Under Constraints |
| R-simex | 1.8-lp153.2.13 | SIMEX- and MCSIMEX-Algorithm for measurement error models |
| R-simexaft | 1.0.7.1-lp153.2.13 | simexaft |
| R-SIMEXBoost | 0.2.0-lp153.1.4 | Boosting Method for High-Dimensional Error-Prone Data |
| R-simfinapi | 1.0.0-lp153.1.3 | Accessing \'SimFin\' Data |
| R-simfinR | 0.2.3-lp153.4.12 | Import Financial Data from the \'SimFin\' Project |
| R-simfit | 0.1.0-lp153.7.5 | Test Model Fit with Simulation |
| R-simglm | 0.8.9-lp153.10.2 | Simulate Models Based on the Generalized Linear Model |
| R-simgof | 1.0.2-lp153.1.13 | Simultaneous Goodness-of-Fits Tests |
| R-SimHaz | 0.1-lp153.2.13 | Simulated Survival and Hazard Analysis for Time-Dependent Ex |
| R-SIMICO | 0.2.0-lp153.3.7 | Set-Based Inference for Multiple Interval-Censored Outcomes |
| R-simIDM | 0.1.0-lp153.1.4 | Simulating Oncology Trials using an Illness-Death Model |
| R-SimilarityMeasures | 1.4-lp153.2.13 | Trajectory Similarity Measures |
| R-Simile | 1.3.3-lp153.2.13 | Interact with Simile Models |
| R-simIReff | 1.0-lp153.21.2 | Stochastic Simulation for Information Retrieval Evaluation: |
| R-simitation | 0.0.7-lp153.1.5 | Simplified Simulations |
| R-simITS | 0.1.1-lp153.13.7 | Analysis via Simulation of Interrupted Time Series (ITS) Dat |
| R-SIMle | 0.1.0-lp153.6.2 | Estimation and Inference for General Time Series Regression |
| R-simmer.bricks | 0.2.2-lp153.2.5 | Helper Methods for \'simmer\' Trajectories |
| R-simmer.plot | 0.1.18-lp153.7.2 | Plotting Methods for \'simmer\' |
| R-simMetric | 0.1.1-lp153.2.7 | Metrics (with Uncertainty) for Simulation Studies that Evalu |
| R-simml | 0.3.0-lp153.1.12 | Single-Index Models with Multiple-Links |
| R-SIMMS | 1.3.2-lp153.16.2 | Subnetwork Integration for Multi-Modal Signatures |
| R-simMSM | 1.1.42-lp153.1.9 | Simulation of Event Histories for Multi-State Models |
| R-simode | 1.2.2-lp153.1.4 | Statistical Inference for Systems of Ordinary Differential E |
| R-simPH | 1.3.13-lp153.15.2 | Simulate and Plot Estimates from Cox Proportional Hazards Mo |
| R-SimPhe | 0.2.0-lp153.2.13 | Tools to Simulate Phenotype(s) with Epistatic Interaction |
| R-simphony | 1.0.3-lp153.1.8 | Simulating Large-Scale, Rhythmic Data |
| R-simplanonym | 0.1.0-lp153.1.7 | Consistent Anonymisation Across Datasets |
| R-simpleCache | 0.4.2-lp153.1.13 | Simply Caching R Objects |
| R-simplecolors | 0.1.2-lp153.2.2 | Access Color Names Using a Standardized Nomenclature |
| R-simpleFDR | 1.1-lp153.9.2 | Simple False Discovery Rate Calculation |
| R-simplegraph | 1.0.1-lp153.1.5 | Simple Graph Data Types and Basic Algorithms |
| R-simplegraphdb | 2021.03.10-lp153.7.4 | A Simple Graph Database |
| R-simpleMH | 0.1.1-lp153.1.4 | Simple Metropolis-Hastings MCMC Algorithm |
| R-simpleMLP | 1.0.0-lp153.9.5 | Simple Multilayer Perceptron Neural Network |
| R-simpleNeural | 0.1.3-lp153.2.12 | An Easy to Use Multilayer Perceptron |
| R-simpleRCache | 0.3.3-lp153.1.12 | Simple R Cache |
| R-simplermarkdown | 0.0.6-lp153.1.5 | Simple Engine for Generating Reports using R |
| R-simpleSetup | 0.1.0-lp153.2.13 | Set Up R Source Code Files for Use on Multiple Machines |
| R-SimpleTable | 0.1.2-lp153.12.11 | Bayesian Inference and Sensitivity Analysis for Causal Effec |
| R-simplevis | 7.1.0-lp153.2.5 | Wrappers to Simplify \'leaflet\' Visualisation |
| R-SimplicialCubature | 1.3-lp153.1.13 | Integration of Functions Over Simplices |
| R-simplifyNet | 0.0.1-lp153.5.4 | Network Sparsification |
| R-SimplifyStats | 2.0.4-lp153.14.5 | Simplifies Pairwise Statistical Analyses |
| R-simpr | 0.2.6-lp153.3.2 | Flexible \'Tidyverse\'-Friendly Simulations |
| R-Simpsons | 0.1.0-lp153.2.13 | Detecting Simpson\'s Paradox |
| R-simrec | 1.0.1-lp153.1.5 | Simulation of Recurrent Event Data for Non-Constant Baseline |
| R-SiMRiv | 1.0.6-lp153.2.4 | Simulating Multistate Movements in River/Heterogeneous Lands |
| R-SimRVPedigree | 0.4.4-lp153.15.5 | Simulate Pedigrees Ascertained for a Rare Disease |
| R-SimRVSequences | 0.2.7-lp153.6.12 | Simulate Genetic Sequence Data for Pedigrees |
| R-simsalapar | 1.0.12-lp153.1.5 | Tools for Simulation Studies in Parallel |
| R-SimSCRPiecewise | 0.1.1-lp153.2.13 | \'Simulates Univariate and Semi-Competing Risks Data Given C |
| R-simsem | 0.5.16-lp153.3.7 | SIMulated Structural Equation Modeling |
| R-SimSeq | 1.4.0-lp153.2.13 | Nonparametric Simulation of RNA-Seq Data |
| R-simsl | 0.2.1-lp153.1.13 | Single-Index Models with a Surface-Link |
| R-SimSST | 0.0.5.2-lp153.2.7 | Simulated Stop Signal Task Data |
| R-simstandard | 0.6.3-lp153.9.7 | Generate Standardized Data |
| R-simSummary | 0.1.0-lp153.2.13 | Simulation summary |
| R-simsurv | 1.0.0-lp153.1.13 | Simulate Survival Data |
| R-simTargetCov | 1.0.1-lp153.2.13 | Data Transformation or Simulation with Empirical Covariance |
| R-simtimer | 4.0.0-lp153.2.13 | Datetimes as Integers for Discrete-Event Simulations |
| R-simTool | 1.1.7-lp153.17.2 | Conduct Simulation Studies with a Minimal Amount of Source C |
| R-simtrait | 1.1.3-lp153.1.7 | Simulate Complex Traits from Genotypes |
| R-simuclustfactor | 0.0.3-lp153.1.8 | Simultaneous Clustering and Factorial Decomposition of Three |
| R-simukde | 1.3.0-lp153.4.4 | Simulation with Kernel Density Estimation |
| R-simulariatools | 2.5.1-lp153.2.4 | Simularia Tools for the Analysis of Air Pollution Data |
| R-simulator | 0.2.5-lp153.1.7 | An Engine for Running Simulations |
| R-simule | 1.3.0-lp153.7.4 | A Constrained L1 Minimization Approach for Estimating Multip |
| R-simulMGF | 0.1.1-lp153.1.5 | Simulate SNP Matrix, Phenotype and Genotypic Effects |
| R-SimVitD | 1.0.3-lp153.1.5 | Simulation Tools for Planning Vitamin D Studies |
| R-SIN | 0.6-lp153.2.13 | A SINful Approach to Selection of Gaussian Graphical Markov |
| R-sinaplot | 1.1.0-lp153.3.7 | An Enhanced Chart for Simple and Truthful Representation of |
| R-sinar | 0.1.0-lp153.2.13 | Conditional Least Squared (CLS) Method for the Model SINAR(1 |
| R-sindyr | 0.2.4-lp153.2.2 | Sparse Identification of Nonlinear Dynamics |
| R-sinew | 0.4.0-lp153.5.2 | Package Development Documentation and Namespace Management |
| R-singcar | 0.1.5-lp153.1.5 | Comparing Single Cases to Small Samples |
| R-singleCellHaystack | 1.0.2-lp153.1.4 | A Universal Differential Expression Prediction Tool for Sing |
| R-sinib | 1.0.0-lp153.2.13 | Sum of Independent Non-Identical Binomial Random Variables |
| R-SinIW | 0.2-lp153.2.13 | The SinIW Distribution |
| R-SINRELEF.LD | 1.1.0-lp153.1.2 | Reliability and Relative Efficiency in Locally-Dependent Mea |
| R-SIPDIBGE | 0.2.1-lp153.3.2 | Collection of Household Survey Packages Conducted by IBGE |
| R-SIPETool | 0.1.0-lp153.1.7 | SIFT-MS and CPET Data Processor |
| R-siqr | 0.8.1-lp153.2.11 | An R Package for Single-Index Quantile Regression |
| R-sirad | 2.3.3-lp153.6.4 | Functions for Calculating Daily Solar Radiation and Evapotra |
| R-SIRthresholded | 1.0.2-lp153.1.5 | Sliced Inverse Regression with Thresholding |
| R-SIS | 0.8.8-lp153.4.7 | Sure Independence Screening |
| R-sisal | 0.48-lp153.2.13 | Sequential Input Selection Algorithm |
| R-SISIR | 0.1.3-lp153.1.11 | Sparse Interval Sliced Inverse Regression |
| R-sisireg | 1.1.1-lp153.2.4 | Sign-Simplicity-Regression-Solver |
| R-sismonr | 2.1.0-lp153.15.11 | Simulation of in Silico Multi-Omic Networks |
| R-sistec | 0.2.0-lp153.19.2 | Tools to Analyze \'Sistec\' Datasets |
| R-sisti | 0.0.1-lp153.2.2 | Real-Time PCR Data Sets by Sisti et al. (2010) |
| R-sistmr | 0.1.1-lp153.8.7 | A Collection of Utility Function from the Inserm/Inria SISTM |
| R-sisVIVE | 1.4-lp153.2.13 | Some Invalid Some Valid Instrumental Variables Estimator |
| R-sitar | 1.4.0-lp153.2.2 | Super Imposition by Translation and Rotation Growth Curve An |
| R-sitepickR | 0.0.1-lp153.6.2 | Two-Level Sample Selection with Optimal Site Replacement |
| R-SitesInterest | 1.0-lp153.2.13 | Inferring an Animal\'s Sites of Interest from High Resolutio |
| R-siteymlgen | 1.0.0-lp153.27.2 | Automatically Generate _site.yml File for \'R Markdown\' |
| R-sitools | 1.4-lp153.2.13 | Format a number to a string with SI prefix |
| R-sitree | 0.1.14-lp153.1.4 | Single Tree Simulator |
| R-sitreeE | 0.0.8-lp153.7.5 | Sitree Extensions |
| R-sivs | 0.2.10-lp153.1.4 | Stable Iterative Variable Selection |
| R-sizeMat | 1.1.2-lp153.4.11 | Estimate Size at Sexual Maturity |
| R-SiZer | 0.1.8-lp153.7.2 | Significant Zero Crossings |
| R-sjlabelled | 1.2.0-lp153.1.10 | Labelled Data Utility Functions |
| R-sjmisc | 2.8.10-lp153.2.2 | Data and Variable Transformation Functions |
| R-sjPlot | 2.8.16-lp153.3.2 | Data Visualization for Statistics in Social Science |
| R-sjstats | 0.19.0-lp153.2.2 | Collection of Convenient Functions for Common Statistical Co |
| R-sjtable2df | 0.0.3-lp153.9.2 | Convert \'sjPlot\' HTML-Tables to R \'data.frame\' |
| R-SK | 1.1-lp153.4.10 | Segment-Based Ordinary Kriging and Segment-Based Regression |
| R-SKAT | 2.2.5-lp153.1.7 | SNP-Set (Sequence) Kernel Association Test |
| R-skater | 0.1.2-lp153.5.2 | Utilities for SNP-Based Kinship Analysis |
| R-skda | 0.1-lp153.2.13 | Sparse (Multicategory) Kernel Discriminant Analysis |
| R-skeletor | 1.0.4-lp153.2.13 | An R Package Skeleton Generator |
| R-skellam | 0.2.3-lp153.2.2 | Densities and Sampling for the Skellam Distribution |
| R-sketchy | 1.0.2-lp153.5.5 | Create Custom Research Compendiums |
| R-SkewHyperbolic | 0.4.2-lp153.1.4 | The Skew Hyperbolic Student t-Distribution |
| R-skewMLRM | 1.6-lp153.1.11 | Estimation for Scale-Shape Mixtures of Skew-Normal Distribut |
| R-skewsamp | 1.0.0-lp153.1.11 | Estimate Sample Sizes for Group Comparisons with Skewed Dist |
| R-skewt | 1.0-lp153.1.11 | The Skewed Student-t Distribution |
| R-Skillings.Mack | 1.10-lp153.3.12 | The Skillings-Mack Test Statistic for Block Designs with Mis |
| R-skilljaR | 0.1.2-lp153.1.5 | Connect to Your \'Skilljar\' Data |
| R-skillsengineeR | 0.2.0-lp153.1.11 | A Light-Weight Wrapper for the \'SkillsEngine\' API |
| R-skimr | 2.1.1-1.24 | Compact and Flexible Summaries of Data |
| R-skimr | 2.1.5-lp153.5.2 | Compact and Flexible Summaries of Data |
| R-skimr | 2.1.1-lp153.1.23 | Compact and Flexible Summaries of Data |
| R-skimr | 2.1.1-1.38 | Compact and Flexible Summaries of Data |
| R-skylight | 1.2-lp153.1.4 | A Simple Sky Illuminance Model |
| R-skynet | 1.4.3-lp153.21.2 | Generates Networks from BTS Data |
| R-slackr | 3.3.1-lp153.1.5 | Send Messages, Images, R Objects and Files to \'Slack\' Chan |
| R-slam | 0.1_32-lp155.2.5 | Sparse Lightweight Arrays and Matrices |
| R-slam | 0.1_32-2.38 | Sparse Lightweight Arrays and Matrices |
| R-slam | 0.1_32-lp154.2.10 | Sparse Lightweight Arrays and Matrices |
| R-slam | 0.1_32-lp153.2.25 | Sparse Lightweight Arrays and Matrices |
| R-slam | 0.1_32-2.32 | Sparse Lightweight Arrays and Matrices |
| R-slanter | 0.2.0-lp153.4.5 | Slanted Matrices and Ordered Clustering |
| R-slap | 2024.4.1-lp153.2.2 | Simplified Error Handling |
| R-SLBDD | 0.0.4-lp153.9.7 | Statistical Learning for Big Dependent Data |
| R-SLC | 0.3-1.26 | Slope and level change |
| R-SLC | 0.3-lp154.1.10 | Slope and level change |
| R-SLC | 0.3-lp155.1.5 | Slope and level change |
| R-SLC | 0.3-lp153.1.24 | Slope and level change |
| R-SLC | 0.3-1.38 | Slope and level change |
| R-SLC | 0.3-lp153.2.13 | Slope and level change |
| R-sld | 1.0.1-lp153.1.8 | Estimation and Use of the Quantile-Based Skew Logistic Distr |
| R-SLDAssay | 1.8-lp153.2.13 | Software for Analyzing Limiting Dilution Assays |
| R-sleekts | 1.0.2-lp153.2.13 | 4253H, Twice Smoothing |
| R-SleepCycles | 1.1.4-lp153.8.2 | Sleep Cycle Detection |
| R-sleepr | 0.3.0-lp153.2.13 | Analyse Activity and Sleep Behaviour |
| R-sleepwalk | 0.3.2-lp153.10.2 | Interactively Explore Dimension-Reduced Embeddings |
| R-Sleuth2 | 2.0.7-lp153.1.4 | Data Sets from Ramsey and Schafer\'s \"Statistical Sleuth (2 |
| R-Sleuth3 | 1.0.6-lp153.1.4 | Data Sets from Ramsey and Schafer\'s \"Statistical Sleuth (3 |
| R-slgf | 2.0.0-lp153.1.7 | Bayesian Model Selection with Suspected Latent Grouping Fact |
| R-SLHD | 2.1.1-lp153.2.20 | Maximin-Distance (Sliced) Latin Hypercube Designs |
| R-SlicedLHD | 1.0-lp153.2.2 | Sliced Latin Hypercube Designs |
| R-SLICER | 0.2.0-lp153.12.9 | Selective Locally Linear Inference of Cellular Expression Re |
| R-slickR | 0.6.0-lp153.10.2 | Create Interactive Carousels with the \'JavaScript\' \'Slick |
| R-SLIDE | 1.0.0-lp153.2.13 | Single Cell Linkage by Distance Estimation is SLIDE |
| R-slider | 0.3.1-lp153.1.5 | Sliding Window Functions |
| R-slideview | 0.2.0-lp153.14.2 | Compare Raster Images Side by Side with a Slider |
| R-SlidingWindows | 0.2.0-lp153.6.5 | Methods for Time Series Analysis |
| R-slim | 0.1.1-lp153.2.13 | Singular Linear Models for Longitudinal Data |
| R-slimrec | 0.1.0-lp153.4.9 | Sparse Linear Method to Predict Ratings and Top-N Recommenda |
| R-slippymath | 0.3.1-lp153.7.4 | Slippy Map Tile Tools |
| R-slm | 1.2.0-lp153.2.13 | Stationary Linear Models |
| R-SLModels | 0.1.2-lp153.1.11 | Stepwise Linear Models for Binary Classification Problems un |
| R-sloop | 1.0.1-lp153.11.5 | Helpers for \'OOP\' in R |
| R-slouch | 2.1.5-lp153.1.4 | Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses |
| R-slp | 1.0.5-lp153.2.13 | Discrete Prolate Spheroidal (Slepian) Sequence Regression Sm |
| R-SLPresElection | 1.0.0-lp153.1.7 | Presidential Election Data of \"Sri Lanka\" from 1982 to 201 |
| R-slurmR | 0.5.4-lp153.1.5 | A Lightweight Wrapper for \'Slurm\' |
| R-sm | 2.2.6.0-lp153.1.4 | Smoothing methods for nonparametric regression and density e |
| R-smallarea | 0.1-lp153.2.13 | Fits a Fay Herriot Model |
| R-smallstuff | 1.0.1-lp153.13.5 | Dr. Small\'s Functions |
| R-SMARTAR | 1.1.0-lp153.2.13 | Sequential Multiple Assignment Randomized Trial and Adaptive |
| R-SMARTbayesR | 2.0.0-lp153.1.12 | Bayesian Set of Best Dynamic Treatment Regimes and Sample Si |
| R-smartDesign | 0.74-lp153.2.2 | Sequential Multiple Assignment Randomized Trial Design |
| R-SmartEDA | 0.3.6-lp153.7.13 | Summarize and Explore the Data |
| R-SmarterPoland | 1.8.1-lp153.4.2 | Tools for Accessing Various Datasets Developed by the Founda |
| R-smartmap | 0.1.1-lp153.27.2 | Smartly Create Maps from R Objects |
| R-SmartMeterAnalytics | 1.0.3-lp153.3.7 | Methods for Smart Meter Data Analysis |
| R-SMARTp | 0.1.1-lp153.6.9 | Sample Size for SMART Designs in Non-Surgical Periodontal Tr |
| R-smartsheetr | 0.1.0-lp153.2.2 | Access and Write \'Smartsheet\' Data using the \'Smartsheet\ |
| R-SmartSifter | 0.1.0-lp153.2.13 | Online Unsupervised Outlier Detection Using Finite Mixtures |
| R-smartsizer | 1.0.3-lp153.1.13 | Power Analysis for a SMART Design |
| R-smatr | 3.4.8-lp153.2.13 | (Standardised) Major Axis Estimation and Testing Routines |
| R-smbinning | 0.9-lp153.9.4 | Scoring Modeling and Optimal Binning |
| R-SMC | 1.1-lp153.2.13 | Sequential Monte Carlo (SMC) Algorithm |
| R-SmCCNet | 2.0.3-lp153.2.2 | Sparse Multiple Canonical Correlation Network Analysis Tool |
| R-smcfcs | 1.8.0-lp153.1.2 | Multiple Imputation of Covariates by Substantive Model Compa |
| R-smco | 0.1-lp153.2.13 | A simple Monte Carlo optimizer using adaptive coordinate sam |
| R-SMCRM | 0.0.3-lp153.2.13 | Data Sets for Statistical Methods in Customer Relationship M |
| R-smcure | 2.1-lp153.1.9 | Fit Semiparametric Mixture Cure Models |
| R-smd | 0.7.0-lp153.2.2 | Compute Standardized Mean Differences |
| R-smdata | 1.2-lp153.2.13 | Data to Accompany Smithson & Merkle, 2013 |
| R-smdocker | 0.1.4-lp153.2.4 | Build \'Docker Images\' in \'Amazon SageMaker Studio\' using |
| R-smetlite | 0.2.10-lp153.2.2 | Read and Write SMET Files |
| R-SMFI5 | 1.0-lp153.9.11 | R functions and data from Chapter 5 of \'Statistical Methods |
| R-SMFilter | 1.0.3-lp153.2.13 | Filtering Algorithms for the State Space Models on the Stief |
| R-smfishHmrf | 0.1-lp153.4.13 | Hidden Markov Random Field for Spatial Transcriptomic Data |
| R-smfsb | 1.5-lp153.1.4 | Stochastic Modelling for Systems Biology |
| R-smidm | 1.0-lp153.4.7 | Statistical Modelling for Infectious Disease Management |
| R-smirnov | 1.0.1-lp153.2.13 | Provides two taxonomic coefficients from E. S. Smirnov \"Tax |
| R-SMLE | 2.1.1-lp153.1.4 | Joint Feature Screening via Sparse MLE |
| R-smlePH | 0.1.0-lp153.2.2 | Sieve Maximum Full Likelihood Estimation for the Right-Censo |
| R-SMLoutliers | 0.1-lp153.2.13 | Outlier Detection Using Statistical and Machine Learning Met |
| R-SMM | 1.0.2-lp153.7.7 | Simulation and Estimation of Multi-State Discrete-Time Semi- |
| R-SMMT | 1.2.0-lp153.2.2 | The Swiss Municipal Data Merger Tool Maps Municipalities Ove |
| R-SMNCensReg | 3.1-lp153.1.9 | Fitting Univariate Censored Regression Model Under the Famil |
| R-smnet | 2.1.2-lp153.10.5 | Smoothing for Stream Network Data |
| R-smoke | 2.0.1-lp153.2.2 | Small Molecule Octet/BLI Kinetics Experiment |
| R-smoothAPC | 0.3-lp153.19.5 | Smoothing of Two-Dimensional Demographic Data, Optionally Ta |
| R-smoothedLasso | 1.6-lp153.1.13 | A Framework to Smooth L1 Penalized Regression Operators usin |
| R-smoother | 1.3-lp153.2.2 | Functions Relating to the Smoothing of Numerical Data |
| R-SmoothHazard | 2024.04.10-lp153.2.2 | Estimation of Smooth Hazard Models for Interval-Censored Dat |
| R-smoothHR | 1.0.5-lp153.1.3 | Smooth Hazard Ratio Curves Taking a Reference Value |
| R-smoothic | 1.2.0-lp153.5.2 | Variable Selection Using a Smooth Information Criterion |
| R-smoothie | 1.0.3-lp153.1.12 | Two-Dimensional Field Smoothing |
| R-smoothmest | 0.1.3-lp153.1.9 | Smoothed M-Estimators for 1-Dimensional Location |
| R-smoothr | 1.0.1-lp153.2.4 | Smooth and Tidy Spatial Features |
| R-smoothROCtime | 0.1.0-lp153.6.4 | Smooth Time-Dependent ROC Curve Estimation |
| R-smoothSurv | 2.6-lp153.1.4 | Survival Regression with Smoothed Error Distribution |
| R-smoothtail | 2.0.5-lp153.5.4 | Smooth Estimation of GPD Shape Parameter |
| R-SmoothTensor | 0.1.1-lp153.1.11 | A Collection of Smooth Tensor Estimation Methods |
| R-smoothy | 1.0.0-lp153.2.2 | Automatic Estimation of the Most Likely Drug Combination usi |
| R-smosr | 1.0.1-lp153.3.4 | Acquire and Explore BEC-SMOS L4 Soil Moisture Data in R |
| R-SMOTEWB | 0.1.5-lp153.1.7 | Imbalanced Resampling using SMOTE with Boosting (SMOTEWB) |
| R-smovie | 1.1.6-lp153.1.4 | Some Movies to Illustrate Concepts in Statistics |
| R-SMPracticals | 1.4.3.1-lp153.1.4 | Practicals for Use with Davison (2003) Statistical Models |
| R-sms | 2.3.1-lp153.2.13 | Spatial Microsimulation |
| R-smss | 1.0.2-lp153.2.13 | Datasets for Agresti and Finlay\'s \"Statistical Methods for |
| R-SMVar | 1.3.4-lp153.1.10 | Structural Model for Variances |
| R-smvgraph | 0.1.2-lp153.16.2 | Various Multivariate Graphics with Variable Choice in Shiny |
| R-sn | 2.1.1-lp153.1.5 | The Skew-Normal and Related Distributions Such as the Skew-t |
| R-sna | 2.3_2-lp155.2.5 | Tools for Social Network Analysis |
| R-sna | 2.3_2-lp154.2.10 | Tools for Social Network Analysis |
| R-sna | 2.3_2-2.38 | Tools for Social Network Analysis |
| R-sna | 2.3_2-2.32 | Tools for Social Network Analysis |
| R-sna | 2.3_2-lp153.2.24 | Tools for Social Network Analysis |
| R-snahelper | 1.4.2-lp153.6.2 | \'RStudio\' Addin for Network Analysis and Visualization |
| R-Snake | 1.0-lp153.2.13 | Game of Snake |
| R-snakecase | 0.11.1-lp153.2.2 | Convert strings into any case |
| R-SnakesAndLaddersAnalysis | 2.1.0-lp153.2.13 | Play and Analyse the Game of Snakes and Ladders |
| R-snapchatadsR | 0.1.0-lp153.1.7 | Get Snapchat Ads Data via the \'Windsor.ai\' API |
| R-snapKrig | 0.0.2-lp153.1.5 | Fast Kriging and Geostatistics on Grids with Kronecker Covar |
| R-snappier | 0.1.0-lp153.2.13 | Compress and Decompress \'Snappy\' Encoded Data |
| R-snapshot | 0.1.2-lp153.2.13 | Gadget N-body cosmological simulation code snapshot I/O util |
| R-SNBdata | 0.2.1-lp153.1.4 | Download Data from the Swiss National Bank (SNB) |
| R-snem | 0.1.1-lp153.2.13 | EM Algorithm for Multivariate Skew-Normal Distribution with |
| R-snfa | 0.0.1-lp153.21.2 | Smooth Non-Parametric Frontier Analysis |
| R-SNFtool | 2.3.1-lp153.1.12 | Similarity Network Fusion |
| R-snha | 0.1.3-lp153.1.5 | Creating Correlation Networks using St. Nicolas House Analys |
| R-snht | 1.0.5-lp153.14.7 | Standard Normal Homogeneity Test |
| R-snn | 1.1-lp153.2.13 | Stabilized Nearest Neighbor Classifier |
| R-snow | 0.4.4-lp153.1.12 | Simple Network of Workstations |
| R-Snowball | 0.0_11-1.35 | Snowball Stemmers |
| R-Snowball | 0.0_11-lp153.1.24 | Snowball Stemmers |
| R-Snowball | 0.0_11-1.25 | Snowball Stemmers |
| R-SnowballC | 0.7.1-lp153.1.5 | Snowball Stemmers Based on the C \'libstemmer\' UTF-8 Librar |
| R-SnowballC | 0.5.1-2.31 | Snowball stemmers based on the C libstemmer UTF-8 library |
| R-SnowballC | 0.5.1-lp155.2.5 | Snowball stemmers based on the C libstemmer UTF-8 library |
| R-SnowballC | 0.5.1-lp153.2.23 | Snowball stemmers based on the C libstemmer UTF-8 library |
| R-SnowballC | 0.5.1-2.38 | Snowball stemmers based on the C libstemmer UTF-8 library |
| R-SnowballC | 0.5.1-lp154.2.10 | Snowball stemmers based on the C libstemmer UTF-8 library |
| R-snowfall | 1.84.6.3-lp153.1.4 | Easier Cluster Computing (Based on \'snow\') |
| R-snowflakes | 1.0.0-lp153.2.13 | Random Snowflake Generator |
| R-snowFT | 1.6.1-lp153.1.5 | Fault Tolerant Simple Network of Workstations |
| R-snowquery | 0.0.1-lp153.1.5 | Query \'Snowflake\' Databases with \'SQL\' |
| R-snp.plotter | 0.5.1-lp153.2.13 | snp.plotter |
| R-snpAIMeR | 2.1.1-lp153.3.2 | Assess the Diagnostic Power of Genomic Marker Combinations |
| R-SNPannotator | 0.2.6.0-lp153.10.2 | Investigating the Functional Characteristics of Selected SNP |
| R-snpar | 1.0-lp153.2.13 | Supplementary Non-parametric Statistics Methods |
| R-SNPassoc | 2.1.0-lp153.15.2 | SNPs-Based Whole Genome Association Studies |
| R-sNPLS | 1.0.27-lp153.8.4 | NPLS Regression with L1 Penalization |
| R-SNPmaxsel | 1.0.3-lp153.2.13 | Maximally selected statistics for SNP data |
| R-SNPMClust | 1.3-lp153.2.13 | Bivariate Gaussian Genotype Clustering and Calling for Illum |
| R-sns | 1.2.2-lp153.1.7 | Stochastic Newton Sampler (SNS) |
| R-SNSchart | 1.4.0-lp153.1.13 | Sequential Normal Scores in Statistical Process Management |
| R-SNSequate | 1.3.3-lp153.7.10 | Standard and Nonstandard Statistical Models and Methods for |
| R-SNSFdatasets | 0.1.1-lp153.1.4 | Download Datasets from the Swiss National Science Foundation |
| R-snvecR | 3.9.4-lp153.2.2 | Calculate Earth’s Obliquity and Precession in the Past |
| R-SNVLFDR | 1.0.1-lp153.1.4 | Empirical Bayes Single Nucleotide Variant Calling |
| R-SOAR | 0.99_11-1.38 | Memory management in R by delayed assignments |
| R-SOAR | 0.99_11-lp155.1.5 | Memory management in R by delayed assignments |
| R-SOAR | 0.99_11-lp154.1.10 | Memory management in R by delayed assignments |
| R-SOAR | 0.99_11-1.25 | Memory management in R by delayed assignments |
| R-SOAR | 0.99.11-lp153.2.13 | Memory management in R by delayed assignments |
| R-SOAR | 0.99_11-lp153.1.23 | Memory management in R by delayed assignments |
| R-SOAs | 1.4-lp153.2.4 | Creation of Stratum Orthogonal Arrays |
| R-sobolnp | 0.1.0-lp153.5.7 | Nonparametric Sobol Estimator with Bootstrap Bandwidth |
| R-socialh | 0.1.1-lp153.3.7 | Rank and Social Hierarchy for Gregarious Animals |
| R-socialmixr | 0.3.2-lp153.2.2 | Social Mixing Matrices for Infectious Disease Modelling |
| R-SocialPosition | 1.0.1-lp153.2.13 | Social Position Indicators Construction Toolbox |
| R-socialranking | 1.2.0-lp153.2.2 | Social Ranking Solutions for Power Relations on Coalitions |
| R-socialrisk | 0.5.1-lp153.2.2 | Identifying Patient Social Risk from Administrative Health C |
| R-socviz | 1.2-lp153.12.7 | Utility Functions and Data Sets for Data Visualization |
| R-SoDA | 1.0.6.1-lp153.2.13 | Functions and Examples for \"Software for Data Analysis\" |
| R-sodavis | 1.2-lp153.2.13 | SODA: Main and Interaction Effects Selection for Logistic Re |
| R-sodium | 1.1-1.69 | A Modern and Easy-to-Use Crypto Library |
| R-sodium | 1.1-1.30 | A Modern and Easy-to-Use Crypto Library |
| R-sodium | 1.1-lp153.1.23 | A Modern and Easy-to-Use Crypto Library |
| R-sofa | 0.4.0-lp153.3.7 | Connector to \'CouchDB\' |
| R-Sofi | 0.16.4.8-lp153.13.2 | Interfaz interactiva con fines didacticos |
| R-SOFIA | 1.0-lp153.2.13 | Making Sophisticated and Aesthetical Figures in R |
| R-softbib | 0.0.2-lp153.7.2 | Software Bibliographies for R Projects |
| R-softclassval | 1.0.20160527-lp153.2.13 | Soft Classification Performance Measures |
| R-SoftClustering | 2.1.3-lp153.1.5 | Soft Clustering Algorithms |
| R-softImpute | 1.4.1-lp153.1.12 | Matrix Completion via Iterative Soft-Thresholded SVD |
| R-SoftRandomForest | 0.1.0-lp153.2.13 | Classification Random Forests for Soft Decision Trees |
| R-SOHPIE | 1.0.6-lp153.1.5 | Statistical Approach via Pseudo-Value Information and Estima |
| R-SOIL | 1.1-lp153.6.7 | Sparsity Oriented Importance Learning |
| R-soilchemistry | 0.1.0-lp153.1.7 | Computation of Properties Related to Soil Chemical Environme |
| R-SoilConservation | 1.0.0-lp153.2.2 | Soil and Water Conservation |
| R-SoilFDA | 0.1.0-lp153.2.2 | Fractal Dimension Analysis of Soil Particle Size Distributio |
| R-soilfoodwebs | 1.0.2-lp153.1.2 | Soil Food Web Analysis |
| R-SoilFunctionality | 0.1.0-lp153.2.2 | Soil Functionality Measurement |
| R-SoilHyP | 0.1.7-lp153.1.7 | Soil Hydraulic Properties |
| R-soilphysics | 5.0-lp153.13.2 | Soil Physical Analysis |
| R-SoilR | 1.2.107-lp153.2.4 | Models of Soil Organic Matter Decomposition |
| R-SoilSaltIndex | 0.1.0-lp153.1.2 | Soil Salinity Indices Generation using Satellite Data |
| R-SoilTaxonomy | 0.2.4-lp153.2.2 | A System of Soil Classification for Making and Interpreting |
| R-SoilTesting | 0.1.0-lp153.1.10 | Organic Carbon and Plant Available Nutrient Contents in Soil |
| R-soiltexture | 1.5.3-lp153.1.4 | Functions for Soil Texture Plot, Classification and Transfor |
| R-soilwater | 1.0.5-lp153.2.13 | Implementation of Parametric Formulas for Soil Water Retenti |
| R-Sojourn | 1.1.0-lp153.5.7 | Apply Sojourn Methods for Processing ActiGraph Accelerometer |
| R-Sojourn.Data | 0.3.0-lp153.1.13 | Supporting Objects for Sojourn Accelerometer Methods |
| R-sokoban | 0.1.0-lp153.2.13 | sokoban game |
| R-solaR | 0.46-lp153.3.7 | Radiation and Photovoltaic Systems |
| R-solarPos | 1.0-lp153.2.13 | Solar Position Algorithm for Solar Radiation Applications |
| R-solartime | 0.0.2-lp153.5.7 | Utilities Dealing with Solar Time Such as Sun Position and T |
| R-solitude | 1.1.3-lp153.7.4 | An Implementation of Isolation Forest |
| R-SOLOMON | 1.0.1-lp153.2.13 | Parentage analysis |
| R-solrad | 1.0.0-lp153.2.13 | Calculating Solar Radiation and Related Variables Based on L |
| R-solrium | 1.2.0-lp153.8.7 | General Purpose R Interface to \'Solr\' |
| R-SolveRationalMatrixEquation | 0.1.0-lp153.2.13 | Solve Rational Matrix Equation |
| R-SolveSAPHE | 2.1.0-lp153.1.13 | Solver Suite for Alkalinity-PH Equations |
| R-som.nn | 1.4.4-lp153.2.2 | Topological k-NN Classifier Based on Self-Organising Maps |
| R-soma | 1.2.0-lp153.1.9 | General-Purpose Optimisation with the Self-Organising Migrat |
| R-SomaDataIO | 6.1.0-lp153.2.2 | Input/Output \'SomaScan\' Data |
| R-SOMbrero | 1.4.2-lp153.3.2 | SOM Bound to Realize Euclidean and Relational Outputs |
| R-somebm | 0.1-lp153.2.13 | some Brownian motions simulation functions |
| R-someKfwer | 1.2-lp153.2.13 | Controlling the Generalized Familywise Error Rate |
| R-someMTP | 1.4.1.1-lp153.1.13 | Some Multiple Testing Procedures |
| R-sommer | 4.1.1-lp154.1.10 | Solving Mixed Model Equations in R |
| R-sommer | 4.1.1-1.22 | Solving Mixed Model Equations in R |
| R-sommer | 4.1.1-1.30 | Solving Mixed Model Equations in R |
| R-sommer | 4.1.1-lp155.1.5 | Solving Mixed Model Equations in R |
| R-somplot | 1.6.4-lp153.2.13 | Visualisation of hexagonal Kohonen maps |
| R-somspace | 1.2.4-lp153.2.2 | Spatial Analysis with Self-Organizing Maps |
| R-sonar | 1.0.2-lp153.2.13 | Fundamental Formulas for Sonar |
| R-SongEvo | 1.0.0-lp153.4.7 | An Individual-Based Model of Bird Song Evolution |
| R-sonicLength | 1.4.7-lp153.1.12 | Estimating Abundance of Clones from DNA Fragmentation Data |
| R-sonicscrewdriver | 0.0.7-lp153.2.2 | Bioacoustic Analysis and Publication Tools |
| R-sonify | 0.0.1-lp153.2.13 | Data Sonification - Turning Data into Sound |
| R-soobench | 1.9.18-lp153.2.13 | Single Objective Optimization Benchmark Functions |
| R-SOP | 1.0.1-lp153.1.5 | Generalised Additive P-Spline Regression Models Estimation |
| R-SOPC | 0.1.0-lp153.1.5 | The Sparse Online Principal Component Estimation Algorithm |
| R-SOPIE | 1.6-lp153.1.11 | Non-Parametric Estimation of the Off-Pulse Interval of a Pul |
| R-soql | 0.1.1-lp153.2.13 | Helps Make Socrata Open Data API Calls |
| R-SOR | 0.23.1-lp153.2.13 | Estimation using Sequential Offsetted Regression |
| R-sorocs | 0.1.0-lp153.4.11 | A Bayesian Semiparametric Approach to Correlated ROC Surface |
| R-SorptionAnalysis | 0.1.0-lp153.2.13 | Static Adsorption Experiment Plotting and Analysis |
| R-sortable | 0.5.0-lp153.7.2 | Drag-and-Drop in \'shiny\' Apps with \'SortableJS\' |
| R-SortableHTMLTables | 0.1.3-lp153.7.13 | Turns a data frame into an HTML file containing a sortable t |
| R-SortedEffects | 1.7.0-lp153.19.2 | Estimation and Inference Methods for Sorted Causal Effects a |
| R-sos | 1.3_8-2.24 | Search contributed R packages, sort by package |
| R-sos | 1.3_8-lp153.2.23 | Search contributed R packages, sort by package |
| R-sos | 1.3_8-lp154.2.10 | Search contributed R packages, sort by package |
| R-sos | 1.3_8-lp155.2.5 | Search contributed R packages, sort by package |
| R-sos | 1.3_8-2.38 | Search contributed R packages, sort by package |
| R-sotu | 1.0.4-lp153.1.8 | United States Presidential State of the Union Addresses |
| R-sound | 1.4.6-lp153.1.4 | A Sound Interface for R |
| R-soundClass | 0.0.9.2-lp153.11.2 | Sound Classification Using Convolutional Neural Networks |
| R-soundcorrs | 0.4.0-lp153.2.13 | Semi-Automatic Analysis of Sound Correspondences |
| R-soundecology | 1.3.3-lp153.12.7 | Soundscape Ecology |
| R-SoundexBR | 1.2-lp153.2.13 | Phonetic-Coding for Portuguese |
| R-SoundShape | 1.2.1-lp153.11.5 | Sound Waves Onto Morphometric Data |
| R-SOUP | 1.1-lp153.2.13 | Stochastic Ordering Using Permutations (and Pairwise Compari |
| R-source.gist | 1.0.0-lp153.2.13 | Read R code from a GitHub Gist |
| R-sourcetools | 0.1.7-1.28 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sourcetools | 0.1.7.1-lp153.1.7 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sourcetools | 0.1.7-lp155.1.5 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sourcetools | 0.1.7-lp153.1.25 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sourcetools | 0.1.7-lp154.1.10 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sourcetools | 0.1.7-1.32 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sourcetools-devel | 0.1.7-1.32 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sourcetools-devel | 0.1.7-1.28 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sourcetools-devel | 0.1.7-lp154.1.10 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sourcetools-devel | 0.1.7.1-lp153.1.7 | Development files for sourcetools |
| R-sourcetools-devel | 0.1.7-lp153.1.25 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sourcetools-devel | 0.1.7-lp155.1.5 | Tools for Reading, Tokenizing and Parsing R Code |
| R-sovereign | 1.2.1-lp153.8.2 | State-Dependent Empirical Analysis |
| R-SoyURT | 1.0.0-lp153.1.9 | USDA Northern Region Uniform Soybean Tests Dataset |
| R-sp | 2.1.4-lp153.2.2 | classes and methods for spatial data |
| R-SP2000 | 0.2.0-lp153.24.2 | Catalogue of Life Toolkit |
| R-sp23design | 0.9.1-lp153.1.10 | Design and Simulation of Seamless Phase II-III Clinical Tria |
| R-spaa | 0.2.2-lp153.2.13 | SPecies Association Analysis |
| R-space | 0.1.1.1-lp153.2.13 | Sparse PArtial Correlation Estimation |
| R-spacejamr | 0.2.1-lp153.17.2 | Simulate Spatial Bernoulli Networks |
| R-spacesRGB | 1.5.0-lp153.1.4 | Standard and User-Defined RGB Color Spaces, with Conversion |
| R-spacesXYZ | 1.3.0-lp153.1.4 | CIE XYZ and some of Its Derived Color Spaces |
| R-spacey | 0.1.1-lp153.12.10 | Easily Obtain Spatial Data and Make Better Maps |
| R-spacyr | 1.3.0-lp153.1.4 | Wrapper to the \'spaCy\' \'NLP\' Library |
| R-SPADAR | 1.0-lp153.1.13 | Spherical Projections of Astronomical Data |
| R-spAddins | 0.2.0-lp153.8.2 | A Set of RStudio Addins |
| R-SpadeR | 0.1.1-lp153.2.13 | Species-Richness Prediction and Diversity Estimation with R |
| R-SpaDES | 2.0.11-lp153.3.2 | Develop and Run Spatially Explicit Discrete Event Simulation |
| R-SpaDES.addins | 0.1.4-lp153.3.7 | Development Tools for \'SpaDES\' and \'SpaDES\' Modules |
| R-SpaDES.core | 2.1.0-lp153.2.2 | Core Utilities for Developing and Running Spatially Explicit |
| R-spaero | 0.6.0-lp153.2.13 | Software for Project AERO |
| R-spam | 1.0_1-lp155.2.5 | SPArse Matrix |
| R-spam | 1.0_1-lp153.2.26 | SPArse Matrix |
| R-spam | 1.0_1-lp154.2.10 | SPArse Matrix |
| R-spam | 1.0_1-2.33 | SPArse Matrix |
| R-spam | 1.0_1-2.38 | SPArse Matrix |
| R-spam64 | 2.10.0-lp153.1.5 | 64-Bit Extension of the SPArse Matrix R Package \'spam\' |
| R-spanel | 0.1-lp153.2.13 | Spatial Panel Data Models |
| R-spanish | 0.4.2-lp153.3.4 | Translate Quantities from Strings to Integer and Back. Misc |
| R-SPAr | 0.1-lp153.2.13 | Perform rare variants association analysis based on summatio |
| R-sparcl | 1.0.4-lp153.2.13 | Perform Sparse Hierarchical Clustering and Sparse K-Means Cl |
| R-spark.sas7bdat | 1.4-lp153.16.2 | Read in \'SAS\' Data (\'.sas7bdat\' Files) into \'Apache Spa |
| R-sparkavro | 0.3.0-lp153.20.2 | Load Avro file into \'Apache Spark\' |
| R-sparkbq | 0.1.1-lp153.19.2 | Google \'BigQuery\' Support for \'sparklyr\' |
| R-sparkhail | 0.1.1-lp153.21.2 | A \'Sparklyr\' Extension for \'Hail\' |
| R-sparkline | 2.0-lp153.15.2 | \'jQuery\' Sparkline \'htmlwidget\' |
| R-sparklyr | 1.8.6-lp153.2.2 | R Interface to Apache Spark |
| R-sparklyr.flint | 0.2.2-lp153.14.2 | Sparklyr Extension for \'Flint\' |
| R-sparklyr.nested | 0.0.4-lp153.8.2 | A \'sparklyr\' Extension for Nested Data |
| R-SparkR | 3.1.2-lp153.1.12 | R Front End for \'Apache Spark\' |
| R-sparktex | 0.1-lp153.2.13 | Generate LaTeX sparklines in R |
| R-sparktf | 0.1.0-lp153.19.2 | Interface for \'TensorFlow\' \'TFRecord\' Files with \'Apach |
| R-sparkwarc | 0.1.1-lp153.3.13 | Load WARC Files into Apache Spark |
| R-sparkxgb | 0.2.0-lp153.2.2 | Interface for \'XGBoost\' on \'Apache Spark\' |
| R-SPARQL | 1.16-lp153.3.12 | SPARQL client |
| R-SPARRAfairness | 0.0.0.1-lp153.1.5 | Analysis of Differential Behaviour of SPARRA Score Across De |
| R-sparrpowR | 0.2.8-lp153.1.4 | Power Analysis to Detect Spatial Relative Risk Clusters |
| R-sparseBC | 1.2-lp153.11.5 | Sparse Biclustering of Transposable Data |
| R-sparsebn | 0.1.2-lp153.2.12 | Learning Sparse Bayesian Networks from High-Dimensional Data |
| R-sparsebnUtils | 0.0.8-lp153.1.13 | Utilities for Learning Sparse Bayesian Networks |
| R-SparseDC | 0.1.17-lp153.2.13 | Implementation of SparseDC Algorithm |
| R-sparsediscrim | 0.3.0-lp153.3.11 | Sparse and Regularized Discriminant Analysis |
| R-sparseEigen | 0.1.0-lp153.2.13 | Computation of Sparse Eigenvectors of a Matrix |
| R-SparseFunClust | 1.0.0-lp153.1.5 | Sparse Functional Clustering |
| R-sparseGAM | 1.0-lp153.1.12 | Sparse Generalized Additive Models |
| R-SparseGrid | 0.8.2-lp153.2.13 | Sparse grid integration in R |
| R-sparseIndexTracking | 0.1.1-lp153.2.13 | Design of Portfolio of Stocks to Track an Index |
| R-sparseLDA | 0.1.9-lp153.2.13 | Sparse Discriminant Analysis |
| R-sparseLRMatrix | 0.1.0-lp153.2.7 | Represent and Use Sparse + Low Rank Matrices |
| R-SparseM | 1.77-lp155.1.5 | Sparse Linear Algebra |
| R-SparseM | 1.77-lp154.1.10 | Sparse Linear Algebra |
| R-SparseM | 1.77-1.36 | Sparse Linear Algebra |
| R-SparseM | 1.77-lp153.1.27 | Sparse Linear Algebra |
| R-SparseM | 1.77-1.38 | Sparse Linear Algebra |
| R-sparseMatEst | 1.0.0-lp153.2.13 | Sparse Matrix Estimation and Inference |
| R-SparseMDC | 0.99.5-lp153.2.13 | Implementation of SparseMDC Algorithm |
| R-SparseMSE | 2.0.1-lp153.2.13 | \'Multiple Systems Estimation for Sparse Capture Data\' |
| R-sparseMVN | 0.2.2-lp153.1.12 | Multivariate Normal Functions for Sparse Covariance and Prec |
| R-sparsenet | 1.6-lp153.1.4 | Fit Sparse Linear Regression Models via Nonconvex Optimizati |
| R-sparsepca | 0.1.2-lp153.2.13 | Sparse Principal Component Analysis (SPCA) |
| R-sparsepp | 1.22-lp153.2.13 | \'Rcpp\' Interface to \'sparsepp\' |
| R-sparseSEM | 4.0-lp153.1.5 | Elastic Net Penalized Maximum Likelihood for Structural Equa |
| R-sparsestep | 1.0.1-lp153.1.13 | SparseStep Regression |
| R-sparsesvd | 0.2.2-lp153.1.7 | Sparse Truncated Singular Value Decomposition (from \'SVDLIB |
| R-SparseTSCGM | 4.0-lp153.15.4 | Sparse Time Series Chain Graphical Models |
| R-sparsevar | 0.1.0-lp153.9.2 | Sparse VAR/VECM Models Estimation |
| R-sparsevctrs | 0.1.0-lp153.2.2 | Sparse Vectors for Use in Data Frames |
| R-SparseVFC | 0.1.2-lp153.1.4 | Sparse Vector Field Consensus for Vector Field Learning |
| R-spate | 1.7.5-lp153.1.5 | Spatio-Temporal Modeling of Large Data Using a Spectral SPDE |
| R-SPAtest | 3.1.2-lp153.2.13 | Score Test and Meta-Analysis Based on Saddlepoint Approximat |
| R-spathial | 0.1.2-lp153.25.2 | Evolutionary Analysis |
| R-spatial | 7.3.17-192.1 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-50.1 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-lp155.192.1 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-194.138 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-50.0.2.1.sr20240605 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-56.163 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-lp153.192.1 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-lp154.192.1 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-50.1 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-56.163 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-50.1 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-194.138 | Package provides recommended R-spatial |
| R-spatial | 7.3.17-lp153.1.26 | Functions for Kriging and Point Pattern Analysis |
| R-SpatialAcc | 0.1.5-lp153.2.2 | Spatial Accessibility Measures |
| R-SpatialBall | 0.1.0-lp153.12.11 | Spatial NBA Visualization and Analysis |
| R-spatialClust | 1.1.1-lp153.6.13 | Spatial Clustering using Fuzzy Geographically Weighted Clust |
| R-spatialCovariance | 0.6.9-lp153.2.13 | Computation of spatial covariance matrices for data on recta |
| R-spatialEco | 2.0.2-lp153.1.4 | Spatial Analysis and Modelling Utilities |
| R-SpatialExtremes | 2.1.0-lp153.8.5 | Modelling Spatial Extremes |
| R-SpatialfdaR | 1.0.0-lp153.7.5 | Spatial Functional Data Analysis |
| R-spatialfil | 0.15-lp153.1.13 | Application of 2D Convolution Kernel Filters to Matrices or |
| R-SpatialFloor | 1.1.0-lp153.5.11 | Spatial Floor Simulation (Isotropic) |
| R-spatialfusion | 0.6.6-lp153.3.5 | Multivariate Analysis of Spatial Data Using a Unifying Spati |
| R-spatialnbda | 1.0-lp153.2.13 | Performs spatial NBDA in a Bayesian context |
| R-SpatialNP | 1.1.5-lp153.1.11 | Multivariate Nonparametric Methods Based on Spatial Signs an |
| R-SpatialPosition | 2.1.2-lp153.2.4 | Spatial Position Models |
| R-spatialprobit | 1.0.4-lp153.1.4 | Spatial Probit Models |
| R-SpatialRoMLE | 0.1.0-lp153.2.13 | Robust Maximum Likelihood Estimation for Spatial Error Model |
| R-spatialsegregation | 2.45-lp153.2.13 | Segregation Measures for Multitype Spatial Point Patterns |
| R-spatialTIME | 1.3.4.5-lp153.1.2 | Spatial Analysis of Vectra Immunoflourescent Data |
| R-SpatialVS | 1.1-lp153.11.5 | Spatial Variable Selection |
| R-SpATS | 1.0.18-lp153.4.5 | Spatial Analysis of Field Trials with Splines |
| R-spatstat.core | 2.4.4-lp153.1.9 | Core Functionality of the \'spatstat\' Family |
| R-spatsurv | 2.0.1-lp153.1.4 | Bayesian Spatial Survival Analysis with Parametric Proportio |
| R-SPB | 1.0-lp153.4.5 | Simple Progress Bars for Procedural Coding |
| R-spbabel | 0.6.0-lp153.1.5 | Convert Spatial Data Using Tidy Tables |
| R-spBayes | 0.4.7-lp153.1.4 | Univariate and Multivariate Spatial-Temporal Modeling |
| R-spc4sts | 0.6.3-lp153.2.5 | Statistical Process Control for Stochastic Textured Surfaces |
| R-spcadjust | 1.1-lp153.2.13 | Functions for Calibrating Control Charts |
| R-SPCALDA | 1.0-lp153.2.13 | A New Reduced-Rank Linear Discriminant Analysis Method |
| R-SPCAvRP | 0.4-lp153.2.13 | Sparse Principal Component Analysis via Random Projections ( |
| R-SPCompute | 1.0.3-lp153.1.7 | Compute Power or Sample Size for GWAS with Covariate Effect |
| R-spcov | 1.3-lp153.1.8 | Sparse Estimation of a Covariance Matrix |
| R-spcr | 2.1.1-lp153.1.8 | Sparse Principal Component Regression |
| R-spd | 2.0.1-lp153.2.13 | Semi Parametric Distribution |
| R-spData | 0.3.5-lp154.1.10 | Datasets for Spatial Analysis |
| R-spData | 0.3.5-lp153.1.24 | Datasets for Spatial Analysis |
| R-spDates | 1.1-lp153.4.7 | Analysis of Spatial Gradients in Radiocarbon Dates |
| R-spdl | 0.0.5-lp153.1.5 | Easier Use of \'RcppSpdlog\' Functions via Wrapper |
| R-spdownscale | 0.1.0-lp153.2.13 | Spatial Downscaling Using Bias Correction Approach |
| R-spdplyr | 0.4.0-lp153.13.5 | Data Manipulation Verbs for the Spatial Classes |
| R-spdynmod | 1.1.6-lp153.3.4 | Spatio-Dynamic Wetland Plant Communities Model |
| R-spe | 1.1.2-lp153.2.13 | Stochastic Proximity Embedding |
| R-speakr | 3.2.2-lp153.4.2 | A Wrapper for the Phonetic Software \'Praat\' |
| R-spearmanCI | 1.1-lp153.2.2 | Jackknife Euclidean / Empirical Likelihood Inference for Spe |
| R-spec | 0.1.9-lp153.1.4 | A Data Specification Format and Interface |
| R-speccalt | 0.1.1-lp153.2.13 | Alternative spectral clustering, with automatic estimation o |
| R-SpecDetec | 1.0.0-lp153.2.13 | Change Points Detection with Spectral Clustering |
| R-SpecHelpers | 0.2.7-lp153.2.13 | Spectroscopy Related Utilities |
| R-SPECIES | 1.1.4-lp153.1.5 | Statistical Package for Species Richness Estimation |
| R-specieschrom | 1.0.0-lp153.4.2 | The Species Chromatogram |
| R-spectr | 1.0.1-lp153.19.2 | Calculate the Periodogram of a Time-Course |
| R-spectral | 2.0-lp153.1.12 | Common Methods of Spectral Data Analysis |
| R-spectralGP | 1.3.3-lp153.2.13 | Approximate Gaussian processes using the Fourier basis |
| R-SpectralMap | 1.0-lp153.11.5 | Diffusion Map and Spectral Map |
| R-spectrolab | 0.0.18-lp153.3.3 | Class and Methods for Spectral Data |
| R-sped | 0.3-lp153.1.5 | Multi-Gene Descent Probabilities |
| R-spedecon | 0.1-lp153.1.4 | Smoothness-Penalized Deconvolution for Density Estimation Un |
| R-SPEDInstabR | 2.2-lp153.1.4 | Estimation of the Relative Importance of Factors Affecting S |
| R-speedglm | 0.3.5-lp153.1.5 | Fitting Linear and Generalized Linear Models to Large Data S |
| R-speedycode | 0.3.0-lp153.8.2 | Automate Code for Adding Labels, Recoding and Renaming Varia |
| R-spef | 1.0.9-lp153.14.7 | Semiparametric Estimating Functions |
| R-speff2trial | 1.0.5-lp153.1.9 | Semiparametric Efficient Estimation for a Two-Sample Treatme |
| R-SPEI | 1.8.1-lp153.2.5 | Calculation of the Standardized Precipitation-Evapotranspira |
| R-spellcheckr | 0.1.2-lp153.15.2 | Correct the Spelling of a Given Word in the English Language |
| R-sperich | 1.5.9-lp153.2.4 | Auxiliary Functions to Estimate Centers of Biodiversity |
| R-sperrorest | 3.0.5-lp153.5.2 | Perform Spatial Error Estimation and Variable Importance Ass |
| R-SpeTestNP | 1.1.0-lp153.1.7 | Non-Parametric Tests of Parametric Specifications |
| R-SPEV | 1.0.0-lp153.1.5 | Unsmoothed and Smoothed Penalized PCA using Nesterov Smoothi |
| R-spfda | 0.9.1-lp153.1.10 | Function-on-Scalar Regression with Group-Bridge Penalty |
| R-spfilteR | 1.1.5-lp153.1.8 | Semiparametric Spatial Filtering with Eigenvectors in (Gener |
| R-spflow | 0.1.0-lp153.2.7 | Spatial Econometric Interaction Models |
| R-spftir | 0.1.0-lp153.2.13 | Pre-Processing and Analysis of Mid-Infrared Spectral Region |
| R-spgrass6 | 0.8.9-lp153.3.12 | Interface Between GRASS 6+ Geographical Information System a |
| R-spgs | 1.0.4-lp153.1.5 | Statistical Patterns in Genomic Sequences |
| R-spgwr | 0.6.37-lp153.1.2 | Geographically Weighted Regression |
| R-SphereOptimize | 0.1.1-lp153.2.13 | Optimization on a Unit Sphere |
| R-spherepc | 0.1.7-lp153.10.5 | Spherical Principal Curves |
| R-sphereplot | 1.5.1-lp153.7.5 | Spherical Plotting |
| R-spheresmooth | 0.1.0-lp153.2.2 | Piecewise Geodesic Smoothing for Spherical Data |
| R-SphericalCubature | 1.5-lp153.16.5 | Numerical Integration over Spheres and Balls in n-Dimensions |
| R-SphericalK | 1.2-lp153.2.13 | Spherical K-Function |
| R-spi | 1.1-lp153.2.13 | Compute SPI index |
| R-SPIAssay | 1.1.0-lp153.2.13 | A Genetic-Based Assay for the Identification of Cell Lines |
| R-SpiceFP | 0.1.2-lp153.2.4 | Sparse Method to Identify Joint Effects of Functional Predic |
| R-spider | 1.5.0-lp153.13.7 | Species Identity and Evolution in R |
| R-spiders | 1.2-lp153.2.13 | Fits Predator Preferences Model |
| R-spidR | 1.0.2-lp153.11.4 | Spider Knowledge Online |
| R-SPIGA | 1.0.0-lp153.6.7 | Compute SPI Index using the Methods Genetic Algorithm and Ma |
| R-spikes | 1.1-lp153.2.12 | Detecting Election Fraud from Irregularities in Vote-Share D |
| R-spikeslab | 1.1.6-lp153.1.9 | Prediction and Variable Selection Using Spike and Slab Regre |
| R-spikeSlabGAM | 1.1.19-lp153.6.7 | Bayesian Variable Selection and Model Choice for Generalized |
| R-Spillover | 0.1.1-lp153.2.2 | Spillover/Connectedness Index Based on VAR Modelling |
| R-SPIn | 1.1-lp153.2.13 | Simulation-efficient Shortest Probability Intervals |
| R-SPINA | 4.1.0-lp153.2.13 | Structure Parameter Inference Approach |
| R-spINAR | 0.2.0-lp153.2.2 | (Semi)Parametric Estimation and Bootstrapping of INAR Models |
| R-spinifex | 0.2.7-lp153.7.12 | Manual Tours, Manual Control of Dynamic Projections of Numer |
| R-spinner | 1.1.0-lp153.4.4 | An Implementation of Graph Net Architecture Based on \'torch |
| R-spinyReg | 0.1.0-lp153.2.13 | Sparse Generative Model and Its EM Algorithm |
| R-spiralize | 1.0.6-lp153.4.7 | Visualize Data on Spirals |
| R-spiritR | 0.1.1-lp153.4.4 | Template for Clinical Trial Protocol |
| R-spiro | 0.2.1-lp153.2.4 | Manage Data from Cardiopulmonary Exercise Testing |
| R-splancs | 2.01.45-lp153.2.2 | Spatial and Space-Time Point Pattern Analysis |
| R-splash | 1.0.2-lp153.1.8 | Simple Process-Led Algorithms for Simulating Habitats |
| R-splashr | 0.6.0-lp153.4.11 | Tools to Work with the \'Splash\' \'JavaScript\' Rendering a |
| R-SPLICE | 1.1.2-lp153.1.4 | Synthetic Paid Loss and Incurred Cost Experience (SPLICE) Si |
| R-splines | 4.4.1-50.0.2.1.sr20240605 | Package providing R-splines |
| R-splines | 4.4.1-lp154.192.1 | Package providing R-splines |
| R-splines | 4.4.1-50.1 | Package providing R-splines |
| R-splines | 4.4.1-56.163 | Package providing R-splines |
| R-splines | 4.4.1-194.138 | Package providing R-splines |
| R-splines | 4.4.1-56.163 | Package providing R-splines |
| R-splines | 4.4.1-lp155.192.1 | Package providing R-splines |
| R-splines | 4.4.1-194.138 | Package providing R-splines |
| R-splines | 4.4.1-50.1 | Package providing R-splines |
| R-splines | 4.4.1-192.1 | Package providing R-splines |
| R-splines | 4.4.1-lp153.192.1 | Package providing R-splines |
| R-splines | 4.4.1-50.1 | Package providing R-splines |
| R-splinetree | 0.2.0-lp153.23.2 | Longitudinal Regression Trees and Forests |
| R-Splinets | 1.5.0-lp153.1.5 | Functional Data Analysis using Splines and Orthogonal Spline |
| R-splitFeas | 0.1.0-lp153.2.13 | Multi-Set Split Feasibility |
| R-splitfngr | 0.1.2-lp153.3.7 | Combined Evaluation and Split Access of Functions |
| R-splitSelect | 1.0.3-lp153.2.7 | Best Split Selection Modeling for Low-Dimensional Data |
| R-SplitSoftening | 2.1.0-lp153.1.12 | Softening Splits in Decision Trees |
| R-SplitSplitPlot | 0.0.1-lp153.2.2 | Analysis of Split-Split-Plot Experiments (Analise De Experim |
| R-splitstackshape | 1.4.8-lp153.2.13 | Stack and Reshape Datasets After Splitting Concatenated Valu |
| R-splitTools | 1.0.1-lp153.1.5 | Tools for Data Splitting |
| R-splm | 1.6.5-lp153.1.2 | Econometric Models for Spatial Panel Data |
| R-splot | 0.5.4-lp153.1.4 | Simplified Plotting for Data Exploration |
| R-spls | 2.2.3-lp153.2.13 | Sparse Partial Least Squares (SPLS) Regression and Classific |
| R-splus2R | 1.3.5-lp153.1.4 | Supplemental S-PLUS Functionality in R |
| R-splutil | 2022.6.20-lp153.6.5 | Utility Functions for Common Base-R Problems Relating to Lis |
| R-spm | 1.2.2-lp153.10.5 | Spatial Predictive Modeling |
| R-spm12r | 2.8.3-lp153.2.11 | Wrapper Functions for \'SPM\' (Statistical Parametric Mappin |
| R-spm2 | 1.1.3-lp153.1.5 | Spatial Predictive Modeling |
| R-spMC | 0.3.15-lp153.1.5 | Continuous-Lag Spatial Markov Chains |
| R-SPmlficmcm | 1.4-lp153.2.13 | Semiparametric Maximum Likelihood Method for Interactions Ge |
| R-spnet | 0.9.1.0-lp153.2.13 | Plotting (Social) Networks on Maps |
| R-SpNetPrep | 1.2-11.17 | Linear Network Preprocessing for Spatial Statistics |
| R-SpNetPrep | 1.2-lp153.11.7 | Linear Network Preprocessing for Spatial Statistics |
| R-spNNGP | 1.0.0-lp153.1.8 | Spatial Regression Models for Large Datasets using Nearest N |
| R-spocc | 1.2.3-lp153.2.2 | Interface to Species Occurrence Data Sources |
| R-SPODT | 0.9.1-lp153.3.12 | Spatial Oblique Decision Tree |
| R-spoiler | 1.0.0-lp153.12.2 | Blur \'HTML\' Elements in \'Shiny\' Applications Using \'Spo |
| R-spongebob | 0.4.0-lp153.2.13 | SpongeBob-Case Converter : spOngEboB-CASe CoNVertER |
| R-spongecake | 0.1.2-lp153.14.7 | Transform a Movie into a Synthetic Picture |
| R-sporm | 1.1.1-lp153.1.13 | Semiparametric Proportional Odds Rate Model |
| R-SportsAnalytics | 0.2-lp153.2.13 | Infrastructure for Sports Analytics |
| R-SportsTour | 0.1.0-lp153.1.12 | Display Tournament Fixtures using Knock Out and Round Robin |
| R-sportyR | 2.2.2-lp153.1.4 | Plot Scaled \'ggplot\' Representations of Sports Playing Sur |
| R-SPOT | 2.11.14-lp153.18.3 | Sequential Parameter Optimization Toolbox |
| R-spotGUI | 0.2.3-lp153.13.7 | Graphical User Interface for the Package \'SPOT\' |
| R-spotidy | 0.1.0-lp153.12.7 | Providing Convenience Functions to Connect R with the Spotif |
| R-spotifyr | 2.2.4-lp153.6.4 | R Wrapper for the \'Spotify\' Web API |
| R-SPOTMisc | 1.19.52-lp153.18.3 | Misc Extensions for the \'SPOT\' Package |
| R-spots | 0.1.0-lp153.1.9 | Spatial Component Analysis |
| R-SpotSampling | 0.1.0-lp153.4.3 | SPatial and Optimally Temporal (SPOT) Sampling |
| R-SPOUSE | 0.1.0-lp153.1.9 | Scatter Plots Over-Viewed Using Summary Ellipses |
| R-SPPcomb | 0.1-lp153.2.13 | Combining Different Spatial Datasets in Cancer Risk Estimati |
| R-spqdep | 0.1.2-lp153.7.7 | Testing for Spatial Independence of Qualitative Data in Cros |
| R-SPREDA | 1.1-lp153.2.13 | Statistical Package for Reliability Data Analysis |
| R-SPreg | 1.0-lp153.5.9 | Bias Reduction in the Skew-Probit Model for a Binary Respons |
| R-spreval | 1.1.0-lp153.2.7 | Evaluation of Sprinkler Irrigation Uniformity and Efficiency |
| R-springpheno | 0.5.0-lp153.1.11 | Spring Phenological Indices |
| R-sprm | 1.2.2-lp153.9.11 | Sparse and Non-Sparse Partial Robust M Regression and Classi |
| R-sprsmdl | 0.1.0-lp153.2.13 | Sparse modeling toolkit |
| R-SPRT | 1.0-lp153.2.13 | Wald\'s Sequential Probability Ratio Test |
| R-sps | 0.5.4-lp153.1.3 | Sequential Poisson Sampling |
| R-spsComps | 0.3.3.0-lp153.4.2 | \'systemPipeShiny\' UI and Server Components |
| R-spselect | 0.0.1-lp153.2.13 | Selecting Spatial Scale of Covariates in Regression Models |
| R-spsh | 1.1.0-lp153.7.7 | Estimation and Prediction of Parameters of Various Soil Hydr |
| R-spsi | 0.1-lp153.1.13 | Shape-Preserving Uni-Variate and Bi-Variate Spline Interpola |
| R-SPSL | 0.1.9-lp153.2.13 | Site Percolation on Square Lattices (SPSL) |
| R-spsur | 1.0.2.5-lp153.4.2 | Spatial Seemingly Unrelated Regression Models |
| R-spsUtil | 0.2.2-lp153.5.2 | \'systemPipeShiny\' Utility Functions |
| R-spt | 2.5.1-lp153.2.13 | Sierpinski Pedal Triangle |
| R-SpTe2M | 1.0.3-lp153.5.2 | Nonparametric Modeling and Monitoring of Spatio-Temporal Dat |
| R-spThin | 0.2.0-lp153.16.5 | Functions for Spatial Thinning of Species Occurrence Records |
| R-sptm | 2019.11.25-lp153.5.3 | SemiParametric Transformation Model Methods |
| R-sptotal | 1.0.1-lp153.2.7 | Predicting Totals and Weighted Sums from Spatial Data |
| R-spup | 1.3.2-lp153.6.7 | Spatial Uncertainty Propagation Analysis |
| R-spuRs | 2.0.2-lp153.2.13 | Functions and Datasets for \"Introduction to Scientific Prog |
| R-SPYvsSPY | 0.1.1-lp153.2.13 | Spy vs. Spy Data |
| R-SQB | 0.4-lp153.16.10 | Sequential Bagging on Regression |
| R-SQL | 0.1.1-lp153.1.2 | Executes \'SQL\' Statements |
| R-sqlcaser | 0.2.0-lp153.1.4 | \'SQL\' Case Statement Generator |
| R-sqldf | 0.4_11-lp154.2.10 | Perform SQL Selects on R Data Frames |
| R-sqldf | 0.4_11-2.71 | Perform SQL Selects on R Data Frames |
| R-sqldf | 0.4.11-lp153.9.4 | Manipulate R Data Frames Using SQL |
| R-sqldf | 0.4_11-2.24 | Perform SQL Selects on R Data Frames |
| R-sqldf | 0.4_11-lp153.2.23 | Perform SQL Selects on R Data Frames |
| R-sqlHelpers | 0.1.2-lp153.3.2 | Collection of \'SQL\' Utilities for \'T-SQL\' and \'Postgres |
| R-sqliter | 0.1.0-lp153.11.2 | Connection wrapper to SQLite databases |
| R-sqliteutils | 0.1.0-lp153.9.2 | Utility Functions for \'SQLite\' |
| R-sqlparseR | 0.1.0-lp153.7.5 | Wrapper for \'Python\' Module \'sqlparse\': Parse, Split, an |
| R-sqlscore | 0.1.4-lp153.16.2 | Utilities for Generating SQL Queries from Model Objects |
| R-sqlstrings | 1.0.0-lp153.6.2 | Map \'SQL\' Code to R Lists |
| R-sqlutils | 1.2-lp153.10.9 | Utilities for working with SQL files. |
| R-SQN | 1.0.6-lp153.1.9 | Subset Quantile Normalization |
| R-SQRL | 1.0.2-lp153.1.4 | Enhances Interaction with \'ODBC\' Databases |
| R-SQUAREM | 2021.1-lp153.1.13 | Squared Extrapolation Methods for Accelerating EM-Like Monot |
| R-squash | 1.0.9-lp153.2.21 | Color-Based Plots for Multivariate Visualization |
| R-squashinformr | 0.2.6-lp153.5.8 | Politely Web Scrape Data from SquashInfo |
| R-squeezy | 1.1.1-lp153.3.7 | Group-Adaptive Elastic Net Penalised Generalised Linear Mode |
| R-sr | 0.1.0-lp153.8.2 | Smooth Regression - The Gamma Test and Tools |
| R-sra | 0.1.4.1-lp153.1.4 | Selection Response Analysis |
| R-srcr | 1.1.1-lp153.2.2 | Simplify Connections to Database Sources |
| R-SRCS | 1.1-lp153.2.13 | Statistical Ranking Color Scheme for Multiple Pairwise Compa |
| R-sRDA | 1.0.0-lp153.2.13 | Sparse Redundancy Analysis |
| R-sRdpData | 0.1.0-lp153.5.7 | Strategies of Resistance Data Project |
| R-srlars | 1.0.1-lp153.2.2 | Split Robust Least Angle Regression |
| R-srlTS | 0.1.1-lp153.2.4 | Sparsity-Ranked Lasso for Time Series |
| R-sROC | 0.1.2-lp153.2.13 | Nonparametric Smooth ROC Curves for Continuous Data |
| R-srp | 1.2.0-lp153.17.4 | Smooth-Rough Partitioning of the Regression Coefficients |
| R-SRS | 0.2.3-lp153.12.2 | Scaling with Ranked Subsampling |
| R-srt | 1.0.4-lp153.2.2 | Read Subtitle Files as Tabular Data |
| R-SRTtools | 1.2.0-lp153.2.13 | Adjust Srt File to Get Better Experience when Watching Movie |
| R-ss3sim | 1.0.3-lp153.12.9 | Fisheries Stock Assessment Simulation Testing with Stock Syn |
| R-ssanv | 1.1-lp153.2.13 | Sample Size Adjusted for Nonadherence or Variability of inpu |
| R-ssc | 2.1.0-lp153.2.13 | Semi-Supervised Classification Methods |
| R-sscor | 0.2-lp153.2.13 | Robust Correlation Estimation and Testing Based on Spatial S |
| R-ssd | 0.3-lp153.2.13 | Sample Size Determination (SSD) for Unordered Categorical Da |
| R-ssd4mosaic | 1.0.1-lp153.2.2 | Web Application for the SSD Module of the MOSAIC Platform |
| R-ssddata | 1.0.0-lp153.7.7 | Species Sensitivity Distribution Data |
| R-SSDM | 0.2.9-lp153.3.3 | Stacked Species Distribution Modelling |
| R-sSDR | 1.2.0-lp153.2.13 | Tools Developed for Structured Sufficient Dimension Reductio |
| R-sse | 0.7.17-lp153.1.12 | Sample Size Estimation |
| R-SSEparser | 0.1.0-lp153.2.2 | Parse Server-Sent Events |
| R-ssfit | 1.2-lp153.4.2 | Fitting of Parametric Models using Summary Statistics |
| R-SSGL | 1.0-lp153.1.5 | Spike-and-Slab Group Lasso for Group-Regularized Generalized |
| R-ssgraph | 1.15-lp153.4.4 | Bayesian Graph Structure Learning using Spike-and-Slab Prior |
| R-ssh.utils | 1.0-lp153.4.10 | Local and remote system commands with output and error captu |
| R-SSHAARP | 1.1.0-lp153.29.2 | Searching Shared HLA Amino Acid Residue Prevalence |
| R-sship | 0.9.0-lp153.2.7 | Tool for Secure Shipment of Content |
| R-SSIMmap | 0.1.1-lp153.2.4 | The Structural Similarity Index Measure for Maps |
| R-ssimparser | 0.1.1-lp153.9.2 | Standard Schedules Information Parser |
| R-ssize.fdr | 1.3-lp153.1.9 | Sample Size Calculations for Microarray Experiments |
| R-SSLASSO | 1.2.2-lp153.2.13 | The Spike-and-Slab LASSO |
| R-SSM | 1.0.1-lp153.2.13 | Fit and Analyze Smooth Supersaturated Models |
| R-ssmn | 1.1-lp153.5.9 | Skew Scale Mixtures of Normal Distributions |
| R-ssmodels | 1.0.1-lp153.1.8 | Sample Selection Models |
| R-ssmsn | 0.2.0-lp153.4.11 | Scale-Shape Mixtures of Skew-Normal Distributions |
| R-SSN | 1.1.17-lp153.4.5 | Spatial Modeling on Stream Networks |
| R-SSP | 1.0.1-lp153.14.5 | Simulated Sampling Procedure for Community Ecology |
| R-sspline | 0.1.6-lp153.2.13 | Smoothing Splines on the Sphere |
| R-SSRA | 0.1.0-lp153.7.2 | Sakai Sequential Relation Analysis |
| R-SSrat | 1.1-lp153.12.7 | Two-Dimensional Sociometric Status Determination with Rating |
| R-ssrm.logmer | 0.1-lp153.3.13 | Sample Size Determination for Longitudinal Designs with Bina |
| R-SSRMST | 0.1.1-lp153.2.13 | Sample Size Calculation using Restricted Mean Survival Time |
| R-ssrn | 0.1.0-lp153.16.2 | Scan Statistics for Railway Network |
| R-SSRTcalc | 0.3.3-lp153.1.13 | Easy SSRT Calculation |
| R-sss | 0.2.2-lp153.1.4 | Import Files in the Triple-s (Standard Survey Structure) For |
| R-sssc | 1.0.0-lp153.15.5 | Same Species Sample Contamination Detection |
| R-SSsimple | 0.6.6-lp153.2.13 | State Space Models |
| R-Sstack | 1.0.1-lp153.13.7 | Bootstrap Stacking of Random Forest Models for Heterogeneous |
| R-sstModel | 1.0.0-lp153.11.10 | Swiss Solvency Test (SST) Standard Models |
| R-ssvd | 1.0-lp153.2.13 | Sparse SVD |
| R-ssym | 1.5.8-lp153.1.5 | Fitting Semi-Parametric log-Symmetric Regression Models |
| R-st | 1.2.7-lp153.1.11 | Shrinkage t Statistic and Correlation-Adjusted t-Score |
| R-sta | 0.1.7-lp153.15.2 | Seasonal Trend Analysis for Time Series Imagery in R |
| R-stabiliser | 1.0.2-lp153.9.7 | Stabilising Variable Selection |
| R-StabilizedRegression | 1.1-lp153.6.7 | Stabilizing Regression and Variable Selection |
| R-stabilo | 0.1.1-lp153.1.7 | Stabilometric Signal Quantification |
| R-stable | 1.1.6-lp153.1.11 | Probability Functions and Generalized Regression Models for |
| R-stabledist | 0.6_6-lp155.1.5 | Stable Distribution Functions |
| R-stabledist | 0.6_6-lp154.1.10 | Stable Distribution Functions |
| R-stabledist | 0.6_6-1.26 | Stable Distribution Functions |
| R-stabledist | 0.6_6-1.38 | Stable Distribution Functions |
| R-stabledist | 0.6_6-lp153.1.24 | Stable Distribution Functions |
| R-stablelearner | 0.1.5-lp153.1.5 | Stability Assessment of Statistical Learning Methods |
| R-stabm | 1.2.2-lp153.1.5 | Stability Measures for Feature Selection |
| R-stabreg | 0.1.2-lp153.2.13 | Linear Regression with the Stable Distribution |
| R-stabs | 0.6.4-lp153.1.13 | Stability Selection with Error Control |
| R-stackgbm | 0.1.0-lp153.2.2 | Stacked Gradient Boosting Machines |
| R-stackoverflow | 0.7.0-lp153.2.13 | Stack Overflow\'s Greatest Hits |
| R-stacomirtools | 0.5.3-lp153.1.12 | \'ODBC\' Connection Class for Package stacomiR |
| R-stagedtrees | 2.3.0-lp153.1.4 | Staged Event Trees |
| R-stagePop | 1.1.2-lp153.1.9 | Modelling the Population Dynamics of a Stage-Structured Spec |
| R-StakeholderAnalysis | 1.2-lp153.2.13 | Measuring Stakeholder Influence |
| R-stam | 0.0.1-lp153.4.11 | Spatio-Temporal Analysis and Modelling |
| R-StAMPP | 1.6.3-lp153.16.2 | Statistical Analysis of Mixed Ploidy Populations |
| R-stampr | 0.3.1-lp153.1.4 | Spatial Temporal Analysis of Moving Polygons |
| R-STAND | 2.0-lp153.2.13 | Statistical Analysis of Non-Detects |
| R-StandardizeText | 1.0-lp153.2.13 | Standardize Text |
| R-standardlastprofile | 1.0.0-lp153.1.4 | Data Package for BDEW Standard Load Profiles in Electricity |
| R-standartox | 0.0.2-lp153.2.7 | Ecotoxicological Information from the Standartox Database |
| R-standby | 0.1.0-lp153.5.2 | Alerts, Notifications and Loading Screen in \'Shiny\' |
| R-StanHeaders | 2.19.0-1.26 | C++ Header Files for Stan |
| R-StanHeaders | 2.19.0-lp154.1.10 | C++ Header Files for Stan |
| R-StanHeaders | 2.19.0-lp155.1.5 | C++ Header Files for Stan |
| R-StanHeaders | 2.19.0-lp153.1.24 | C++ Header Files for Stan |
| R-StanHeaders | 2.19.0-1.28 | C++ Header Files for Stan |
| R-stapler | 0.7.1-lp153.3.7 | Simultaneous Truth and Performance Level Estimation |
| R-STAR | 0.3.7-lp153.2.13 | Spike Train Analysis with R |
| R-stargazer | 5.2.3-lp153.1.11 | Well-Formatted Regression and Summary Statistics Tables |
| R-starm | 0.1.0-lp153.2.13 | Spatio-Temporal Autologistic Regression Model |
| R-starschemar | 1.2.5-lp153.2.2 | Obtaining Stars from Flat Tables |
| R-starter | 0.1.15-lp153.2.2 | Starter Kit for New Projects |
| R-starticles | 0.1.0-lp153.9.5 | A Generic, Publisher-Independent Template for Writing Scient |
| R-startupmsg | 0.9-lp155.2.5 | Utilities for start-up messages |
| R-startupmsg | 0.9-2.30 | Utilities for start-up messages |
| R-startupmsg | 0.9-2.38 | Utilities for start-up messages |
| R-startupmsg | 0.9-lp154.2.10 | Utilities for start-up messages |
| R-startupmsg | 0.9-lp153.2.26 | Utilities for start-up messages |
| R-starvars | 1.1.10-lp153.15.2 | Vector Logistic Smooth Transition Models Estimation and Pred |
| R-starwarsdb | 0.1.2-lp153.12.5 | Relational Data from the \'Star Wars\' API for Learning and |
| R-stat.extend | 0.2.1-lp153.1.11 | Highest Density Regions and Other Functions of Distributions |
| R-Stat2Data | 2.0.0-lp153.2.13 | Datasets for Stat2 |
| R-Statamarkdown | 0.9.2-lp153.1.4 | \'Stata\' Markdown |
| R-statar | 0.7.6-lp153.2.2 | Tools Inspired by \'Stata\' to Manipulate Tabular Data |
| R-statcanR | 0.2.3-lp153.7.7 | Client for Statistics Canada\'s Open Economic Data |
| R-statcheck | 1.5.0-lp153.4.2 | Extract Statistics from Articles and Recompute P-Values |
| R-statcodelists | 0.9.2-lp153.1.8 | Use Standardized Statistical Codelists |
| R-statcomp | 0.1.0-lp153.2.13 | Statistical Complexity and Information Measures for Time Ser |
| R-statConfR | 0.1.1-lp153.2.2 | Models of Decision Confidence and Metacognition |
| R-StatDA | 1.7.4-lp153.10.11 | Statistical Analysis for Environmental Data |
| R-StatDataML | 1.0.27-lp153.1.5 | Read and Write StatDataML Files |
| R-statebins | 1.4.0-lp153.14.5 | Create United States Uniform Cartogram Heatmaps |
| R-StateLevelForest | 0.1.0-lp153.1.4 | Historical State-Level Forest Cover Data in the United State |
| R-states | 0.3.2-lp153.1.5 | Create Panels of Independent States |
| R-statgenMPP | 1.0.2-lp153.3.2 | QTL Mapping for Multi Parent Populations |
| R-static | 0.1.0-lp153.1.8 | Static Local Variables |
| R-stationaRy | 0.5.1-lp153.17.2 | Detailed Meteorological Data from Stations All Over the Worl |
| R-stationery | 1.1-lp153.4.2 | Working Examples for Reproducible Research Documents |
| R-statip | 0.2.3-lp153.2.13 | Statistical Functions for Probability Distributions and Regr |
| R-statisfactory | 1.0.4-lp153.1.5 | Statistical and Geometrical Tools |
| R-StatMatch | 1.4.2-lp153.2.2 | Statistical Matching or Data Fusion |
| R-StatMeasures | 1.0-lp153.2.13 | Easy Data Manipulation, Data Quality and Statistical Checks |
| R-statmod | 1.4.34-1.24 | Statistical modeling |
| R-statmod | 1.5.0-lp153.2.7 | Statistical modeling |
| R-statmod | 1.4.34-lp153.1.28 | Statistical modeling |
| R-statmod | 1.4.34-lp154.1.10 | Statistical modeling |
| R-statmod | 1.4.34-lp155.1.5 | Statistical modeling |
| R-statmod | 1.4.34-1.31 | Statistical modeling |
| R-statnet | 2019.6-lp153.18.2 | Software Tools for the Statistical Analysis of Network Data |
| R-StatPerMeCo | 0.1.0-lp153.2.13 | Statistical Performance Measures to Evaluate Covariance Matr |
| R-statprograms | 0.2.0-lp153.2.13 | Graduate Statistics Program Datasets |
| R-statquotes | 0.3.2-lp153.2.2 | Quotes on Statistics, Data Visualization and Science |
| R-StatRank | 0.0.6-lp153.14.7 | Statistical Rank Aggregation: Inference, Evaluation, and Vis |
| R-stats | 4.4.1-50.1 | Package providing R-stats |
| R-stats | 4.4.1-lp154.192.1 | Package providing R-stats |
| R-stats | 4.4.1-50.0.2.1.sr20240605 | Package providing R-stats |
| R-stats | 4.4.1-lp153.192.1 | Package providing R-stats |
| R-stats | 4.4.1-lp155.192.1 | Package providing R-stats |
| R-stats | 4.4.1-56.163 | Package providing R-stats |
| R-stats | 4.4.1-50.1 | Package providing R-stats |
| R-stats | 4.4.1-56.163 | Package providing R-stats |
| R-stats | 4.4.1-50.1 | Package providing R-stats |
| R-stats | 4.4.1-192.1 | Package providing R-stats |
| R-stats | 4.4.1-194.138 | Package providing R-stats |
| R-stats | 4.4.1-194.138 | Package providing R-stats |
| R-stats4 | 4.4.1-50.0.2.1.sr20240605 | Package providing R-stats4 |
| R-stats4 | 4.4.1-50.1 | Package providing R-stats4 |
| R-stats4 | 4.4.1-lp154.192.1 | Package providing R-stats4 |
| R-stats4 | 4.4.1-56.163 | Package providing R-stats4 |
| R-stats4 | 4.4.1-194.138 | Package providing R-stats4 |
| R-stats4 | 4.4.1-194.138 | Package providing R-stats4 |
| R-stats4 | 4.4.1-50.1 | Package providing R-stats4 |
| R-stats4 | 4.4.1-lp155.192.1 | Package providing R-stats4 |
| R-stats4 | 4.4.1-lp153.192.1 | Package providing R-stats4 |
| R-stats4 | 4.4.1-50.1 | Package providing R-stats4 |
| R-stats4 | 4.4.1-56.163 | Package providing R-stats4 |
| R-stats4 | 4.4.1-192.1 | Package providing R-stats4 |
| R-statsearchanalyticsr | 0.1.4-lp153.13.2 | An Interface for the \'STAT Search Analytics\' \'API\' |
| R-statsExpressions | 1.5.0-lp153.1.7 | Tidy Dataframes and Expressions with Statistical Details |
| R-statsr | 0.3.0-lp153.25.2 | Companion Software for the Coursera Statistics with R Specia |
| R-statswalesr | 0.2.0-lp153.6.7 | Easily Extract Data from \'StatsWales\' |
| R-stbl | 0.1.1-lp153.2.2 | Stabilize Function Arguments |
| R-stcov | 0.1.0-lp153.2.13 | Stein\'s Covariance Estimator |
| R-stddiff | 3.1-lp153.1.9 | Calculate the Standardized Difference for Numeric, Binary an |
| R-stdReg | 3.4.1-lp153.2.7 | Regression Standardization |
| R-steepness | 0.2_2-lp155.2.5 | Testing Steepness of Dominance Hierarchies |
| R-steepness | 0.3.0-lp153.1.9 | Testing Steepness of Dominance Hierarchies |
| R-steepness | 0.2_2-lp153.2.24 | Testing Steepness of Dominance Hierarchies |
| R-steepness | 0.2_2-lp154.2.10 | Testing Steepness of Dominance Hierarchies |
| R-steepness | 0.2_2-2.31 | Testing Steepness of Dominance Hierarchies |
| R-steepness | 0.2_2-2.38 | Testing Steepness of Dominance Hierarchies |
| R-SteinerNet | 3.1.0-lp153.6.5 | Steiner Tree Approach for Graph Analysis |
| R-SteinIV | 0.1.1-lp153.2.13 | Semi-Parametric Stein-Like Estimator with Instrumental Varia |
| R-stellaR | 0.3.4-lp153.1.10 | Evolutionary Tracks and Isochrones from Pisa Stellar Evoluti |
| R-Stem | 1.0-lp153.2.13 | Spatio-temporal models in R |
| R-stemmatology | 0.3.2-lp153.7.4 | Stemmatological Analysis of Textual Traditions |
| R-stencilaschema | 1.0.0-lp153.1.13 | Bindings for Stencila Schema |
| R-stenR | 0.6.9-lp153.4.7 | Standardization of Raw Discrete Questionnaire Scores |
| R-StepBeta | 2.1.0-lp153.1.8 | Stepwise Procedure for Beta, Beta-Binomial and Negative Bino |
| R-STEPCAM | 1.2-lp153.9.7 | ABC-SMC Inference of STEPCAM |
| R-stepdownfdp | 1.0.0-lp153.1.10 | A Step-Down Procedure to Control the False Discovery Proport |
| R-stepgbm | 1.0.1-lp153.1.5 | Stepwise Variable Selection for Generalized Boosted Regressi |
| R-stepmixr | 0.1.2-lp153.1.4 | Interface to \'Python\' Package \'StepMix\' |
| R-SteppedPower | 0.2.0-lp153.2.12 | Power Calculation for Stepped Wedge Designs |
| R-stepPlr | 0.93-lp153.2.13 | L2 Penalized Logistic Regression with Stepwise Variable Sele |
| R-steprf | 1.0.2-lp153.9.5 | Stepwise Predictive Variable Selection for Random Forest |
| R-stevedata | 1.3.0-lp153.2.2 | Steve\'s Toy Data for Teaching About a Variety of Methodolog |
| R-stevedore | 0.9.6-lp153.1.5 | Docker Client |
| R-stevetemplates | 1.0.0-lp153.4.2 | Steve\'s R Markdown Templates |
| R-stevethemes | 0.1.0-lp153.3.2 | Steve\'s \'ggplot2\' Themes and Related Theme Elements |
| R-STFTS | 0.1.0-lp153.1.12 | Statistical Tests for Functional Time Series |
| R-STGS | 0.1.0-lp153.4.7 | Genomic Selection using Single Trait |
| R-STI | 0.1-lp153.2.13 | Calculation of the Standardized Temperature Index |
| R-stickr | 0.3.1-lp153.6.10 | View and Use R Hex Stickers |
| R-sticky | 0.5.6.1-lp153.2.13 | Persist Attributes Across Data Operations |
| R-stickyr | 0.1.2-lp153.1.5 | Data Frames with Persistent Columns and Attributes |
| R-stilt | 1.3.0-lp153.11.5 | Separable Gaussian Process Interpolation (Emulation) |
| R-stim | 1.0.0-lp153.1.7 | Incorporating Stability Information into Cross-Sectional Est |
| R-stima | 1.2.4-lp153.1.4 | Simultaneous Threshold Interaction Modeling Algorithm |
| R-stinepack | 1.4-1.25 | Stineman, a consistently well behaved method of interpolatio |
| R-stinepack | 1.4-1.32 | Stineman, a consistently well behaved method of interpolatio |
| R-stinepack | 1.5-lp153.2.2 | Stineman, a consistently well behaved method of interpolatio |
| R-stinepack | 1.4-lp154.1.10 | Stineman, a consistently well behaved method of interpolatio |
| R-stinepack | 1.4-lp155.1.5 | Stineman, a consistently well behaved method of interpolatio |
| R-stinepack | 1.4-lp153.1.23 | Stineman, a consistently well behaved method of interpolatio |
| R-stlnpp | 0.4.0-lp153.2.2 | Spatio-Temporal Analysis of Point Patterns on Linear Network |
| R-stmCorrViz | 1.3-lp153.15.2 | A Tool for Structural Topic Model Visualizations |
| R-STMedianPolish | 0.2-lp153.6.7 | Spatio-Temporal Median Polish |
| R-stmgp | 1.0.4-lp153.1.12 | Rapid and Accurate Genetic Prediction Modeling for Genome-Wi |
| R-stmgui | 0.1.6-lp153.23.2 | Shiny Application for Creating STM Models |
| R-STMotif | 2.0.2-lp153.2.2 | Discovery of Motifs in Spatial-Time Series |
| R-STMr | 0.1.6-lp153.2.2 | Strength Training Manual R-Language Functions |
| R-stocc | 1.31-lp153.9.5 | Fit a Spatial Occupancy Model via Gibbs Sampling |
| R-stochLAB | 1.1.2-lp153.8.2 | Stochastic Collision Risk Model |
| R-stochprofML | 2.0.3-lp153.2.13 | Stochastic Profiling using Maximum Likelihood Estimation |
| R-stochQN | 0.1.2.1-lp153.1.12 | Stochastic Limited Memory Quasi-Newton Optimizers |
| R-stockAnalyst | 1.0.1-lp153.1.8 | Equity Valuation using Methods of Fundamental Analysis |
| R-stockR | 1.0.76-lp153.1.5 | Identifying Stocks in Genetic Data |
| R-stodom | 0.0.1-lp153.1.4 | Estimating Consistent Tests for Stochastic Dominance |
| R-stoichcalc | 1.1.5-lp153.1.5 | R Functions for Solving Stoichiometric Equations |
| R-stopdetection | 0.1.2-lp153.1.5 | Stop Detection in Timestamped Trajectory Data using Spatiote |
| R-STOPES | 0.2-lp153.2.7 | Selection Threshold Optimized Empirically via Splitting |
| R-stopp | 0.1.0-lp153.2.5 | Spatio-Temporal Point Pattern Methods, Model Fitting, Diagno |
| R-stopp | 0.1.0-2.11 | Spatio-Temporal Point Pattern Methods, Model Fitting, Diagno |
| R-stopwords | 1.0-lp155.1.5 | Multilingual Stopword Lists |
| R-stopwords | 1.0-1.28 | Multilingual Stopword Lists |
| R-stopwords | 2.3-lp153.1.12 | Multilingual Stopword Lists |
| R-stopwords | 1.0-lp154.1.10 | Multilingual Stopword Lists |
| R-stopwords | 1.0-1.24 | Multilingual Stopword Lists |
| R-stopwords | 1.0-lp153.1.23 | Multilingual Stopword Lists |
| R-Storm | 1.2-lp153.2.13 | Write Storm Bolts in R using the Storm Multi-Language Protoc |
| R-StormR | 0.1.1-lp153.1.4 | Analyzing the Behaviour of Wind Generated by Tropical Storms |
| R-stormwindmodel | 0.1.4-lp153.5.12 | Model Tropical Cyclone Wind Speeds |
| R-storr | 1.2.5-lp153.3.12 | Simple Key Value Stores |
| R-stortingscrape | 0.3.0-lp153.1.4 | Access Data from the Norwegian Parliament API |
| R-stoRy | 0.2.2-lp153.2.2 | Download, Explore, and Analyze Literary Theme Ontology Data |
| R-storywranglr | 0.2.0-lp153.9.7 | Explore Twitter Trends with the \'Storywrangler\' API |
| R-STPGA | 5.2.1-lp153.7.4 | Selection of Training Populations by Genetic Algorithm |
| R-stpp | 2.0.7-lp153.6.5 | Space-Time Point Pattern Simulation, Visualisation and Analy |
| R-stpp | 2.0.7-6.13 | Space-Time Point Pattern Simulation, Visualisation and Analy |
| R-stppSim | 1.2.7-lp153.9.7 | Spatiotemporal Point Patterns Simulation |
| R-str2str | 1.0.0-lp153.1.4 | Convert R Objects from One Structure to Another |
| R-StrainRanking | 1.2-lp153.2.13 | Ranking of Pathogen Strains |
| R-strand | 0.2.0-lp153.13.2 | A Framework for Investment Strategy Simulation |
| R-stranslate | 0.1.3-lp153.1.4 | Simple Translation Between Different Languages |
| R-strap | 1.6.1-lp153.2.2 | Stratigraphic Tree Analysis for Palaeontology |
| R-strata.MaxCombo | 0.0.1-lp153.1.5 | Stratified Max-Combo Test |
| R-stratallo | 2.2.1-lp153.1.4 | Optimum Sample Allocation in Stratified Sampling |
| R-stratamatch | 0.1.9-lp153.20.2 | Stratification and Matching for Large Observational Data Set |
| R-stratbr | 1.2-lp153.2.13 | Optimal Stratification in Stratified Sampling |
| R-strategicplayers | 1.1-lp153.1.4 | Strategic Players |
| R-Strategy | 1.0.1-lp153.2.13 | Generic Framework to Analyze Trading Strategies |
| R-StrathE2E2 | 3.3.0-lp153.1.12 | End-to-End Marine Food Web Model |
| R-stratification | 2.2.7-lp153.1.10 | Univariate Stratification of Survey Populations |
| R-StratifiedBalancing | 0.3.0-lp153.3.7 | Stratified Covariate Balancing |
| R-StratifiedMedicine | 1.0.5-lp153.8.7 | Stratified Medicine |
| R-StratifiedRF | 0.2.2-lp153.17.2 | Builds Trees by Sampling Variables in Groups |
| R-StratigrapheR | 1.3.1-lp153.3.2 | Integrated Stratigraphy |
| R-StratSel | 1.3-lp153.9.8 | Strategic Selection Estimator |
| R-stratvns | 1.1-lp153.7.7 | Optimal Stratification in Stratified Sampling |
| R-straweib | 1.1-lp153.2.13 | Stratified Weibull Regression Model |
| R-stray | 0.1.1-lp153.16.4 | Anomaly Detection in High Dimensional and Temporal Data |
| R-streambugs | 1.4-lp153.1.4 | Parametric Ordinary Differential Equations Model of Growth, |
| R-streamR | 0.4.5-lp153.10.5 | Access to Twitter Streaming API via R |
| R-StReg | 1.1-lp153.1.5 | Student\'s t Regression Models |
| R-stressor | 0.2.0-lp153.2.2 | Algorithms for Testing Models under Stress |
| R-stressr | 1.0.0-lp153.5.7 | Fetch and plot financial stress index and component data. |
| R-StressStrength | 1.0.2-lp153.2.13 | Computation and Estimation of Reliability of Stress-Strength |
| R-String2AdjMatrix | 0.1.0-lp153.7.2 | Creates an Adjacency Matrix from a List of Strings |
| R-stringb | 0.1.17-lp153.1.13 | Convenient Base R String Handling |
| R-stringdist | 0.9.5.5-1.28 | Approximate String Matching and String Distance Functions |
| R-stringdist | 0.9.5.5-lp155.1.5 | Approximate String Matching and String Distance Functions |
| R-stringdist | 0.9.5.5-lp153.1.26 | Approximate String Matching and String Distance Functions |
| R-stringdist | 0.9.5.5-1.34 | Approximate String Matching and String Distance Functions |
| R-stringdist | 0.9.12-lp153.1.4 | Approximate String Matching, Fuzzy Text Search, and String D |
| R-stringdist | 0.9.5.5-lp154.1.10 | Approximate String Matching and String Distance Functions |
| R-stringformattr | 0.1.2-lp153.7.2 | Dynamic String Formatting |
| R-stringi | 1.8.4-lp153.2.2 | Fast and Portable Character String Processing Facilities |
| R-stringr | 1.5.1-lp153.2.2 | Simple, Consistent Wrappers for Common String Operations |
| R-stringr | 1.4.0-1.29 | Simple, Consistent Wrappers for Common String Operations |
| R-stringr | 1.4.0-lp153.1.26 | Simple, Consistent Wrappers for Common String Operations |
| R-stringr | 1.4.0-1.43 | Simple, Consistent Wrappers for Common String Operations |
| R-stringr-doc | 1.4.0-1.43 | Documentation for R-stringr |
| R-stringr-doc | 1.4.0-1.29 | Documentation for R-stringr |
| R-stringr-doc | 1.4.0-lp153.1.26 | Documentation for R-stringr |
| R-stringstatic | 0.1.2-lp153.1.5 | Dependency-Free String Operations |
| R-stringx | 0.2.8-lp153.2.2 | Replacements for Base String Functions Powered by \'stringi\ |
| R-strip | 1.0.0-lp153.3.12 | Lighten your R Model Outputs |
| R-stripless | 1.0.3-lp153.2.13 | Structured Trellis Displays Without Strips for Lattice Graph |
| R-strucchange | 1.5_0-lp153.1.24 | Testing, Monitoring, and Dating Structural Changes |
| R-strucchange | 1.5_0-1.38 | Testing, Monitoring, and Dating Structural Changes |
| R-strucchange | 1.5_0-1.25 | Testing, Monitoring, and Dating Structural Changes |
| R-strucchange | 1.5_0-lp154.1.10 | Testing, Monitoring, and Dating Structural Changes |
| R-strucchange | 1.5_0-lp155.1.5 | Testing, Monitoring, and Dating Structural Changes |
| R-StructFDR | 1.4-lp153.2.2 | False Discovery Control Procedure Integrating the Prior Stru |
| R-StructuralDecompose | 0.1.1-lp153.1.7 | Decomposes a Level Shifted Time Series |
| R-StructureMC | 1.0-lp153.3.12 | Structured Matrix Completion |
| R-strvalidator | 2.3.0-lp153.11.8 | Process Control and Internal Validation of Forensic STR Kits |
| R-stsm.class | 1.3-lp153.2.13 | Class and Methods for Structural Time Series Models |
| R-stuart | 0.10.2-lp153.1.5 | Subtests Using Algorithmic Rummaging Techniques |
| R-stubthat | 1.2.1-lp153.8.11 | Stubbing Framework for R |
| R-studentlife | 1.1.0-lp153.22.2 | Tidy Handling and Navigation of the Student-Life Dataset |
| R-stUPscales | 1.0.3.4-lp153.9.13 | Spatio-Temporal Uncertainty Propagation Across Multiple Scal |
| R-STV | 1.0.2-lp153.1.13 | Single Transferable Vote Counting |
| R-StVAR | 1.1-lp153.4.11 | Student\'s t Vector Autoregression (StVAR) |
| R-styler | 1.10.3-lp153.2.2 | Non-Invasive Pretty Printing of R Code |
| R-stylest | 0.2.0-lp153.1.13 | Estimating Speaker Style Distinctiveness |
| R-stylo | 0.7.4-lp153.5.7 | Stylometric Multivariate Analyses |
| R-subcopem2D | 1.3-lp153.2.13 | Bivariate Empirical Subcopula |
| R-SubCultCon | 1.0-lp153.2.13 | Maximum-Likelihood Cultural Consensus Analysis with Sub-Cult |
| R-subdetect | 1.2-lp153.1.9 | Detect Subgroup with an Enhanced Treatment Effect |
| R-subformula | 0.1.0-lp153.2.13 | Create Subformulas of a Formula |
| R-subgroup | 1.1-lp153.2.13 | Methods for exploring treatment effect heterogeneity in subg |
| R-SubgrpID | 0.12-lp153.1.4 | Patient Subgroup Identification for Clinical Drug Developmen |
| R-SubgrPlots | 0.1.3-lp153.18.7 | Graphical Displays for Subgroup Analysis in Clinical Trials |
| R-subgxe | 0.9.0-lp153.2.13 | Combine Multiple GWAS by Using Gene-Environment Interactions |
| R-submax | 1.1.1-lp153.2.13 | Effect Modification in Observational Studies Using the Subma |
| R-subniche | 1.5-lp153.9.4 | Within Outlying Mean Indexes: Refining the OMI Analysis |
| R-SubpathwayGMir | 1.0-lp153.3.12 | Identify Metabolic Subpathways Mediated by MicroRNAs |
| R-subrank | 0.9.9.3-lp153.1.5 | Computes Copula using Ranks and Subsampling |
| R-subsamp | 0.1.0-lp153.2.13 | Subsample Winner Algorithm for Variable Selection in Linear |
| R-subselect | 0.15.5-lp153.1.5 | Selecting variable subsets |
| R-subsemble | 0.1.0-lp153.1.11 | An Ensemble Method for Combining Subset-Specific Algorithm F |
| R-subtee | 1.0.1-lp153.6.5 | Subgroup Treatment Effect Estimation in Clinical Trials |
| R-subtype | 1.0-lp153.2.12 | Cluster analysis to find molecular subtypes and their assess |
| R-success | 0.1.0-lp153.3.8 | Survival Control Charts Estimation Software |
| R-sudachir | 0.1.0-lp153.16.7 | R Interface to \'Sudachi\' |
| R-sudoku | 2.8-lp153.1.10 | Sudoku Puzzle Generator and Solver |
| R-sudokuAlt | 0.2.1-lp153.2.13 | Tools for Making and Spoiling Sudoku Games |
| R-SUE | 1.0-lp153.2.13 | Subsampling method |
| R-SuessR | 0.1.5-lp153.1.5 | Suess and Laws Corrections for Marine Stable Carbon Isotope |
| R-sufficientForecasting | 0.1.0-lp153.1.7 | Sufficient Forecasting using Factor Models |
| R-suggests | 0.1.0-lp153.1.5 | Declare when Suggested Packages are Needed |
| R-sugrrants | 0.2.9-lp153.2.2 | Supporting Graphs for Analysing Time Series |
| R-sumFREGAT | 1.2.5-lp153.2.7 | Fast Region-Based Association Tests on Summary Statistics |
| R-summariser | 2.3.0-lp153.13.7 | Easy Calculation and Visualisation of Confidence Intervals |
| R-SummaryLasso | 1.2.1-lp153.2.13 | Building Polygenic Risk Score Using GWAS Summary Statistics |
| R-summarytools | 1.0.1-lp153.10.2 | Tools to Quickly and Neatly Summarize Data |
| R-summclust | 0.7.2-lp153.2.4 | Module to Compute Influence and Leverage Statistics for Regr |
| R-SUMMER | 1.4.0-lp153.2.2 | Small-Area-Estimation Unit/Area Models and Methods for Estim |
| R-sumR | 0.4.15-lp153.1.4 | Approximate Summation of Series |
| R-sunburstR | 2.1.8-lp153.9.2 | Sunburst \'Htmlwidget\' |
| R-suncalc | 0.5.1-lp153.4.7 | Compute Sun Position, Sunlight Phases, Moon Position and Lun |
| R-Sunclarco | 1.0.0-lp153.2.13 | Survival Analysis using Copulas |
| R-Sunder | 0.0.4-lp153.3.9 | Quantification of the effect of geographic versus environmen |
| R-SunsVoc | 0.1.1-lp153.6.13 | Constructing Suns-Voc from Outdoor Time-Series I-V Curves |
| R-SunterSampling | 1.0.1-lp153.2.13 | Sunter\'s sampling design |
| R-supclust | 1.1.1-lp153.1.12 | Supervised Clustering of Predictor Variables Such as Genes |
| R-supcluster | 1.0.1-lp153.1.9 | Supervised Cluster Analysis |
| R-supercompress | 1.1-lp153.1.11 | Supervised Compression of Big Data |
| R-superdiag | 2.0-lp153.2.13 | A Comprehensive Test Suite for Testing Markov Chain Nonconve |
| R-SuperExactTest | 1.1.0-lp153.1.10 | Exact Test and Visualization of Multi-Set Intersections |
| R-superheat | 0.1.0-lp153.18.7 | A Graphical Tool for Exploring Complex Datasets Using Heatma |
| R-SuperLearner | 2.0.29-lp153.1.4 | Super Learner Prediction |
| R-superMDS | 1.0.2-lp153.2.13 | Implements the supervised multidimensional scaling (superMDS |
| R-supernova | 3.0.0-lp153.1.4 | Judd, McClelland, & Ryan Formatting for ANOVA Output |
| R-superpc | 1.12-lp153.2.13 | Supervised Principal Components |
| R-SuperPCA | 0.4.0-lp153.3.10 | Supervised Principal Component Analysis |
| R-supervisedPRIM | 2.0.0-lp153.9.4 | Supervised Classification Learning and Prediction using Pati |
| R-SupMZ | 0.2.0-lp153.13.7 | Detecting Structural Change with Heteroskedasticity |
| R-suppdata | 1.1.9-lp153.6.2 | Downloading Supplementary Data from Published Manuscripts |
| R-support.BWS | 0.4.6-lp153.1.5 | Tools for Case 1 Best-Worst Scaling |
| R-support.BWS2 | 0.4.0-lp153.1.9 | Tools for Case 2 Best-Worst Scaling |
| R-support.BWS3 | 0.2.1-lp153.1.4 | Tools for Case 3 Best-Worst Scaling |
| R-support.CEs | 0.7.0-lp153.1.4 | Basic Functions for Supporting an Implementation of Choice E |
| R-supportInt | 1.1-lp153.2.13 | Calculates Likelihood Support Intervals for Common Data Type |
| R-supportR | 1.4.0-lp153.1.1 | Support Functions for Wrangling and Visualization |
| R-supportR | 1.4.0-lp154.1.1 | Support Functions for Wrangling and Visualization |
| R-supportR | 1.4.0-lp155.1.1 | Support Functions for Wrangling and Visualization |
| R-supreme | 1.1.0-lp153.9.8 | Modeling Tool for \'Shiny\' Applications Developed with Modu |
| R-sur | 1.0.4-lp153.23.2 | Companion to \"Statistics Using R: An Integrative Approach\" |
| R-sure | 0.2.0-lp153.14.5 | Surrogate Residuals for Ordinal and General Regression Model |
| R-surf | 1.0.0-lp153.2.7 | Survey-Based Gross Flows Estimation |
| R-SuRF.vs | 1.1.0.1-lp153.7.7 | Subsampling Ranking Forward Selection (SuRF) |
| R-SurfaceTortoise | 2.0.1-lp153.1.5 | Find Optimal Sampling Locations Based on Spatial Covariate(s |
| R-Surrogate | 2.4-lp153.3.7 | Evaluation of Surrogate Endpoints in Clinical Trials |
| R-SurrogateOutcome | 1.1-lp153.1.11 | Estimation of the Proportion of Treatment Effect Explained b |
| R-SurrogateRank | 1.0-lp153.2.2 | Rank-Based Test to Evaluate a Surrogate Marker |
| R-SurrogateTest | 1.3-lp153.1.11 | Early Testing for a Treatment Effect using Surrogate Marker |
| R-surrosurvROC | 0.1.0-lp153.2.13 | Surrogate Survival ROC |
| R-suRtex | 0.9-lp153.2.13 | LaTeX descriptive statistic reporting for survey data |
| R-surv2sampleComp | 1.0.5-lp153.10.10 | Inference for Model-Free Between-Group Parameters for Censor |
| R-survAH | 1.0.0-lp153.1.7 | Survival Data Analysis using Average Hazard |
| R-survAWKMT2 | 1.0.1-lp153.1.9 | Two-Sample Tests Based on Differences of Kaplan-Meier Curves |
| R-survBootOutliers | 1.0-lp153.2.13 | Concordance Based Bootstrap Methods for Outlier Detection in |
| R-survC1 | 1.0.3-lp153.1.13 | C-Statistics for Risk Prediction Models with Censored Surviv |
| R-survcompare | 0.1.2-lp153.3.3 | Compares Cox and Survival Random Forests to Quantify Nonline |
| R-SurvCorr | 1.1-lp153.4.5 | Correlation of Bivariate Survival Times |
| R-survCurve | 1.0-lp153.2.12 | Plots Survival Curves Element by Element |
| R-SurvDisc | 0.1.1-lp153.3.7 | Discrete Time Survival and Longitudinal Data Analysis |
| R-survex | 1.2.0-lp153.4.3 | Explainable Machine Learning in Survival Analysis |
| R-survexp.fr | 1.1-lp153.1.10 | Relative Survival, AER and SMR Based on French Death Rates |
| R-survey | 3.30.3-1.30 | analysis of complex survey samples |
| R-survey | 3.30.3-lp154.1.10 | analysis of complex survey samples |
| R-survey | 3.30.3-lp153.1.26 | analysis of complex survey samples |
| R-survey | 3.30.3-1.38 | analysis of complex survey samples |
| R-survey | 3.30.3-lp155.1.5 | analysis of complex survey samples |
| R-surveyCV | 0.2.0-lp153.4.2 | Cross Validation Based on Survey Design |
| R-surveydata | 0.2.7-lp153.10.2 | Tools to Work with Survey Data |
| R-surveyeditor | 1.0-lp153.2.13 | Generate a Survey that can be Completed by Survey Respondent |
| R-surveygraph | 0.1.2-lp153.1.2 | Network Representations of Attitudes |
| R-surveyoutliers | 0.1-lp153.2.13 | Helps Manage Outliers in Sample Surveys |
| R-surveyplanning | 4.0-lp153.2.13 | Survey Planning Tools |
| R-Survgini | 1.0-lp153.2.13 | The Gini concentration test for survival data |
| R-survIDINRI | 1.1.2-lp153.1.9 | IDI and NRI for Comparing Competing Risk Prediction Models w |
| R-survidm | 1.3.2-lp153.21.2 | Inference and Prediction in an Illness-Death Model |
| R-SurviMChd | 0.1.2-lp153.3.2 | High Dimensional Survival Data Analysis with Markov Chain Mo |
| R-survival | 3.6.4-192.1 | Package provides recommended R-survival |
| R-survival | 3.6.4-50.0.2.1.sr20240605 | Package provides recommended R-survival |
| R-survival | 3.6.4-lp153.192.1 | Package provides recommended R-survival |
| R-survival | 3.7.0-lp153.1.2 | Survival analysis |
| R-survival | 3.6.4-lp154.192.1 | Package provides recommended R-survival |
| R-survival | 3.6.4-lp155.192.1 | Package provides recommended R-survival |
| R-survival | 3.6.4-50.1 | Package provides recommended R-survival |
| R-survival | 3.6.4-56.163 | Package provides recommended R-survival |
| R-survival | 3.6.4-50.1 | Package provides recommended R-survival |
| R-survival | 3.6.4-56.163 | Package provides recommended R-survival |
| R-survival | 3.6.4-50.1 | Package provides recommended R-survival |
| R-survival | 3.6.4-194.138 | Package provides recommended R-survival |
| R-survival | 3.6.4-194.138 | Package provides recommended R-survival |
| R-survivalMPL | 0.2.3-lp153.1.7 | Penalised Maximum Likelihood for Survival Analysis Models |
| R-survivalMPLdc | 0.1.1-lp153.2.12 | Penalised Likelihood for Survival Analysis with Dependent Ce |
| R-survivalREC | 1.1-lp153.1.5 | Nonparametric Estimation of the Distribution of Gap Times fo |
| R-survivalROC | 1.0.3.1-lp153.2.7 | Time-Dependent ROC Curve Estimation from Censored Survival D |
| R-survivalsvm | 0.0.5-lp153.28.2 | Survival Support Vector Analysis |
| R-SurvivalTests | 1.0-lp153.1.4 | Survival Tests for One-Way Layout |
| R-survivalVignettes | 0.1.6-lp153.2.2 | Survival Analysis Vignettes and Optional Datasets |
| R-survJamda.data | 1.0.2-lp153.2.13 | Data for Package \'survJambda\' |
| R-SurvLong | 1.4-lp153.1.4 | Analysis of Proportional Hazards Model with Sparse Longitudi |
| R-SurvMetrics | 0.5.0-lp153.24.2 | Predictive Evaluation Metrics in Survival Analysis |
| R-SurvMI | 0.1.0-lp153.2.13 | Multiple Imputation Method in Survival Analysis |
| R-survMisc | 0.5.6-lp153.8.5 | Miscellaneous Functions for Survival Data |
| R-survmixer | 1.3-lp153.1.13 | Design of Clinical Trials with Survival Endpoints Based on B |
| R-survML | 1.1.0-lp153.2.2 | Flexible Estimation of Conditional Survival Functions Using |
| R-survMS | 0.0.1-lp153.4.8 | Survival Model Simulation |
| R-survout | 0.1.0-lp153.5.2 | Excel Conversion of R Surival Analysis Output |
| R-survParamSim | 0.1.6-lp153.8.2 | Parametric Survival Simulation with Parameter Uncertainty |
| R-survPresmooth | 1.1.11-lp153.1.12 | Presmoothed Estimation in Survival Analysis |
| R-survRatio | 0.1-lp153.12.12 | Estimating, Comparing and Visualising Time to Event Data |
| R-SurvRegCensCov | 1.7-lp153.1.5 | Weibull Regression for a Right-Censored Endpoint with Interv |
| R-survRM2 | 1.0.4-lp153.1.9 | Comparing Restricted Mean Survival Time |
| R-survRM2adapt | 1.1.0-lp153.1.5 | Flexible and Coherent Test/Estimation Procedure Based on Res |
| R-survRM2perm | 0.1.0-lp153.2.12 | Permutation Test for Comparing Restricted Mean Survival Time |
| R-survSens | 1.1.0-lp153.2.2 | Sensitivity Analysis with Time-to-Event Outcomes |
| R-survsim | 1.1.8-lp153.1.11 | Simulation of Simple and Complex Survival Data |
| R-survSpearman | 1.0.1-lp153.1.8 | Nonparametric Spearman\'s Correlation for Survival Data |
| R-survtmle | 1.1.1-lp153.11.7 | Compute Targeted Minimum Loss-Based Estimates in Right-Censo |
| R-SurvTrunc | 0.2.0-lp153.1.8 | Analysis of Doubly Truncated Data |
| R-survxai | 0.2.2-lp153.13.11 | Visualization of the Local and Global Survival Model Explana |
| R-susieR | 0.12.35-lp153.1.7 | Sum of Single Effects Linear Regression |
| R-susographql | 0.1.6-lp153.1.4 | Comprehensive Interface to the Survey Solutions \'GraphQL\' |
| R-SUSY | 0.1.0-lp153.1.7 | Surrogate Synchrony |
| R-sutteForecastR | 0.1-lp153.14.7 | Forecasting Data using Alpha-Sutte Indicator |
| R-sValues | 0.1.6-lp153.15.2 | Measures of the Sturdiness of Regression Coefficients |
| R-svcm | 0.1.2-lp153.1.13 | 2d and 3d Space-Varying Coefficient Models |
| R-svDialogs | 1.1.0-lp153.1.9 | \'SciViews\' - Standard Dialog Boxes for Windows, MacOS and |
| R-svDialogstcltk | 1.0.0-lp153.1.9 | \'SciViews\' - Standard Dialog Boxes using Tcl/Tk |
| R-svdvisual | 1.1-lp153.2.13 | SVD visualization tools |
| R-svenssonm | 0.1.0-lp153.2.13 | Svensson\'s Method |
| R-svglite | 1.2.3-lp154.1.10 | An \'SVG\' Graphics Device |
| R-svglite | 1.2.3-1.27 | An \'SVG\' Graphics Device |
| R-svglite | 1.2.3-lp155.1.5 | An \'SVG\' Graphics Device |
| R-svglite | 1.2.3-1.30 | An \'SVG\' Graphics Device |
| R-svglite | 1.2.3-lp153.1.23 | An \'SVG\' Graphics Device |
| R-svgPanZoom | 0.3.4-lp153.15.2 | R \'Htmlwidget\' to Add Pan and Zoom to Almost any R Graphic |
| R-svgtools | 1.1.2-lp153.1.2 | Manipulate SVG (Template) Files of Charts |
| R-svGUI | 1.0.1-lp153.1.13 | SciViews - Manage GUIs in R |
| R-svHttp | 1.0.4-lp153.1.9 | \'SciViews\' - HTTP Server |
| R-svIDE | 0.9.54-lp153.3.12 | Functions to Ease Interactions Between R and IDE or Code Edi |
| R-svKomodo | 1.0.0-lp153.1.9 | \'SciViews\' - Functions to Interface with Komodo IDE |
| R-svMisc | 1.2.3-lp153.1.12 | \'SciViews\' - Miscellaneous Functions |
| R-svmpath | 0.970-lp153.2.13 | The SVM Path Algorithm |
| R-svmplus | 1.0.1-lp153.2.13 | Implementation of Support Vector Machines Plus (SVM+) |
| R-SVN | 1.0.1-lp153.8.4 | Statistically Validated Networks |
| R-svplots | 0.1.0-lp153.7.5 | Sample Variance Plots (Sv-Plots) |
| R-svrep | 0.6.4-lp153.2.2 | Tools for Creating, Updating, and Analyzing Survey Replicate |
| R-svrpath | 0.1.2-lp153.2.13 | The SVR Path Algorithm |
| R-svSocket | 1.1.5-lp153.2.2 | \'SciViews\' - Socket Server |
| R-svSweave | 1.0.0-lp153.14.2 | \'SciViews\' - \'Sweave\', \'Knitr\' and R Markdown Companio |
| R-svTools | 0.9.5-lp153.2.13 | Wrappers for Tools in Other Packages for IDE Friendliness |
| R-svUnit | 1.0.3-lp153.1.26 | \'SciViews\' - Unit, Integration and System Testing |
| R-svUnit | 1.0.3-1.28 | \'SciViews\' - Unit, Integration and System Testing |
| R-svUnit | 1.0.3-lp154.1.10 | \'SciViews\' - Unit, Integration and System Testing |
| R-svUnit | 1.0.3-lp155.1.5 | \'SciViews\' - Unit, Integration and System Testing |
| R-svUnit | 1.0.3-1.26 | \'SciViews\' - Unit, Integration and System Testing |
| R-svUnit | 1.0.6-lp153.1.13 | \'SciViews\' - Unit, Integration and System Testing |
| R-svWidgets | 0.9.45-lp153.2.13 | Management of GUI Widgets, Windows, and Other GUI Resources |
| R-svydiags | 0.6-lp153.2.2 | Regression Model Diagnostics for Survey Data |
| R-SvyNom | 1.2-lp153.21.2 | Nomograms for Right-Censored Outcomes from Survey Designs |
| R-svyPVpack | 0.1.1-lp153.3.13 | A package for complex surveys including plausible values |
| R-svyVGAM | 1.2-lp153.3.2 | Design-Based Inference in Vector Generalised Linear Models |
| R-svyweight | 0.1.0-lp153.4.2 | Quick and Flexible Survey Weighting |
| R-swa | 0.8.1-lp153.14.7 | Subsampling Winner Algorithm for Classification |
| R-swaRm | 0.6.0-lp153.2.7 | Processing Collective Movement Data |
| R-SwarmSVM | 0.1.7-lp153.2.7 | Ensemble Learning Algorithms Based on Support Vector Machine |
| R-swatches | 0.5.0-lp153.7.2 | Read, Inspect, and Manipulate Color Swatch Files |
| R-swdft | 1.0.0-lp153.2.13 | Sliding Window Discrete Fourier Transform (SWDFT) |
| R-SweaveListingUtils | 0.6.1-lp153.2.24 | Utilities for Sweave together with TeX listings package |
| R-SweaveListingUtils | 0.6.1-lp154.2.10 | Utilities for Sweave together with TeX listings package |
| R-SweaveListingUtils | 0.6.1-2.27 | Utilities for Sweave together with TeX listings package |
| R-SweaveListingUtils | 0.6.1-lp155.2.5 | Utilities for Sweave together with TeX listings package |
| R-SweaveListingUtils | 0.6.1-2.38 | Utilities for Sweave together with TeX listings package |
| R-SweepDiscovery | 0.1.1-lp153.1.4 | Selective Sweep Discovery Tool |
| R-sweidnumbr | 1.5.0-lp153.1.4 | Handling of Swedish Identity Numbers |
| R-SWIM | 1.0.0-lp153.19.2 | Scenario Weights for Importance Measurement |
| R-swimplot | 1.2.0-lp153.11.2 | Tools for Creating Swimmers Plots using \'ggplot2\' |
| R-swipeR | 0.1.0-lp153.6.5 | Carousels using the \'JavaScript\' Library \'Swiper\' |
| R-swirlify | 0.5.3-lp153.25.2 | A Toolbox for Writing \'swirl\' Courses |
| R-SwissAir | 1.1.6-lp153.1.4 | Air Quality Data of Switzerland for One Year in 30 Min Resol |
| R-swissMrP | 0.62-lp153.16.7 | Multilevel Regression with Post-Stratification (MrP) for Swi |
| R-swissparl | 0.2.2-lp153.10.2 | Interface to the Webservices of the Swiss Parliament |
| R-switchcase | 0.1.1-lp153.2.13 | A Simple and Flexible Switch-Case Construct for the \'R\' La |
| R-switchnpreg | 0.8.0-lp153.11.11 | Switching nonparametric regression models for a single curve |
| R-switchr | 0.14.8-lp153.1.5 | Installing, Managing, and Switching Between Distinct Sets of |
| R-sybil | 2.2.0-lp153.1.13 | Efficient Constrained Based Modelling |
| R-sybilccFBA | 3.0.1-lp153.2.13 | Cost Constrained Flux Balance Analysis (ccFBA): MetabOlic Mo |
| R-sybilcycleFreeFlux | 2.0.2-lp153.1.13 | Cycle-Free Flux Balance Analysis (CycleFreeFlux) |
| R-sybilDynFBA | 1.0.2-lp153.2.13 | Dynamic FBA : Dynamic Flux Balance Analysis |
| R-sylcount | 0.2.6-lp153.1.4 | Syllable Counting and Readability Measurements |
| R-syllabifyr | 0.1.1-lp153.17.2 | Syllabifier for CMU Dictionary Transcriptions |
| R-sylly | 0.1.6-lp153.2.13 | Hyphenation and Syllable Counting for Text Analysis |
| R-sylly.en | 0.1.3-lp153.2.13 | Language Support for \'sylly\' Package: English |
| R-sym.arma | 1.0-lp153.2.13 | Autoregressive and Moving Average Symmetric Models |
| R-SymbolicDeterminants | 2.0.0-lp153.1.13 | Symbolic Representation of Matrix Determinant |
| R-symbols | 1.1-lp153.2.13 | Symbol plots |
| R-symDMatrix | 2.1.1-lp153.2.13 | Partitioned Symmetric Matrices |
| R-symmoments | 1.2.1-lp153.3.7 | Symbolic Central and Noncentral Moments of the Multivariate |
| R-syn | 0.1.0-lp153.2.13 | Creates Synonyms From Target Words |
| R-synchrony | 0.3.8-lp153.2.13 | Methods for Computing Spatial, Temporal, and Spatiotemporal |
| R-SynchWave | 1.1.2-lp153.8.5 | Synchrosqueezed Wavelet Transform |
| R-SyncMove | 0.1.0-lp153.2.13 | Subsample Temporal Data to Synchronal Events and Compute the |
| R-SyncRNG | 1.3.3-lp153.1.4 | A Synchronized Tausworthe RNG for R and Python |
| R-SYNCSA | 1.3.4-lp153.8.7 | Analysis of Functional and Phylogenetic Patterns in Metacomm |
| R-synfd | 0.1.3-lp153.4.13 | Synthesize Dense or Sparse Functional Data/Snippets |
| R-synoptReg | 1.2.1-lp153.19.5 | Synoptic Climate Classification and Spatial Regionalization |
| R-synRNASeqNet | 1.0-lp153.2.13 | Synthetic RNA-Seq Network Generation and Mutual Information |
| R-syntaxr | 0.8.0-lp153.2.13 | An \'SPSS\' Syntax Generator for Multi-Variable Manipulation |
| R-syntenyPlotteR | 1.0.0-lp153.2.2 | Genome Synteny Visualization |
| R-SynthCast | 0.2.1-lp153.4.8 | Synthetic Control Method to Forecast Series |
| R-synthesisr | 0.3.0-lp153.3.12 | Import, Assemble, and Deduplicate Bibliographic Datasets |
| R-SynthETIC | 1.1.0-lp153.1.4 | Synthetic Experience Tracking Insurance Claims |
| R-synthpop | 1.8.0-lp153.5.2 | Generating Synthetic Versions of Sensitive Microdata for Sta |
| R-SynthTools | 1.0.1-lp153.15.7 | Tools and Tests for Experiments with Partially Synthetic Dat |
| R-sys | 3.3-2.31 | Powerful and Reliable Tools for Running System Commands in R |
| R-sys | 3.3-lp153.2.23 | Powerful and Reliable Tools for Running System Commands in R |
| R-sys | 3.3-lp154.2.10 | Powerful and Reliable Tools for Running System Commands in R |
| R-sys | 3.3-2.27 | Powerful and Reliable Tools for Running System Commands in R |
| R-sys | 3.3-lp155.2.5 | Powerful and Reliable Tools for Running System Commands in R |
| R-SyScSelection | 1.0.2-lp153.2.13 | Systematic Scenario Selection for Stress Testing |
| R-sysfonts | 0.8-lp153.1.23 | Loading Fonts into R |
| R-sysfonts | 0.8-1.37 | Loading Fonts into R |
| R-sysfonts | 0.8-1.30 | Loading Fonts into R |
| R-sysfonts | 0.8-lp154.1.10 | Loading Fonts into R |
| R-sysfonts | 0.8-lp155.1.5 | Loading Fonts into R |
| R-sysid | 1.0.4-lp153.15.2 | System Identification in R |
| R-syslognet | 0.1.2.1-lp153.2.13 | Send Log Messages to Remote \'syslog\' Server |
| R-systemfonts | 0.2.0-lp155.2.5 | System Native Font Finding |
| R-systemfonts | 0.2.0-2.26 | System Native Font Finding |
| R-systemfonts | 0.2.0-lp154.2.10 | System Native Font Finding |
| R-systemfonts | 0.2.0-2.34 | System Native Font Finding |
| R-systemfonts | 0.2.0-lp153.2.25 | System Native Font Finding |
| R-SystemicR | 0.1.0-lp153.9.4 | Monitoring Systemic Risk |
| R-syuzhet | 1.0.7-lp153.2.2 | Extracts Sentiment and Sentiment-Derived Plot Arcs from Text |
| R-T2DFitTailor | 3.0.0-lp153.2.2 | Tailor the Exercise Plans and Visualize the Outcome for T2D |
| R-T2EQ | 1.1-lp153.2.13 | Functions for Applying the T^2-Test for Equivalence |
| R-T2Qv | 0.2.0-lp153.6.2 | Control Qualitative Variables |
| R-tab | 5.1.1-lp153.24.2 | Create Summary Tables for Statistical Reports |
| R-Taba | 1.0.0-lp153.1.13 | Taba Robust Correlations |
| R-tabbycat | 0.18.0-lp153.2.2 | Tabulate and Summarise Categorical Data |
| R-taber | 0.1.2-lp153.13.7 | Split and Recombine Your Data |
| R-tabit | 0.2.1-lp153.2.13 | Simple Tabulation Made Simple |
| R-table.express | 0.4.2-lp153.1.5 | Build \'data.table\' Expressions with Data Manipulation Verb |
| R-table1 | 1.4.3-lp153.4.2 | Tables of Descriptive Statistics in HTML |
| R-Table1Heatmap | 1.2-lp153.1.9 | Table 1 Heatmap |
| R-tablecompare | 0.1.1-lp153.1.4 | Compare Data Frames |
| R-tableeasy | 1.1.2-lp153.11.2 | Tables of Clinical Study |
| R-tableExtra | 1.0.1-lp153.2.5 | Draws an Awesome Table |
| R-TableHC | 0.1.2-lp153.2.13 | Higher Criticism Test of Two Frequency Counts Tables |
| R-tableHTML | 2.1.2-lp153.5.2 | A Tool to Create HTML Tables |
| R-tableMatrix | 0.82.0-lp153.2.13 | Combines \'data.table\' and \'matrix\' Classes |
| R-TableMonster | 1.7-lp153.2.13 | Table Monster |
| R-tableone | 0.13.2-lp153.10.2 | Create \'Table 1\' to Describe Baseline Characteristics with |
| R-tableplot | 0.3.5-lp153.2.13 | Represents tables as semi-graphic displays |
| R-tables | 0.7.64-lp153.1.23 | Formula-driven table generation |
| R-tables | 0.7.64-1.24 | Formula-driven table generation |
| R-tables | 0.7.64-1.39 | Formula-driven table generation |
| R-tablesgg | 0.9.1-lp153.2.2 | Presentation-Quality Tables, Displayed Using \'ggplot2\' |
| R-tablet | 0.6.8-lp153.2.2 | Tabulate Descriptive Statistics in Multiple Formats |
| R-TableToLongForm | 1.3.2-lp153.2.13 | Automatically Convert Hierarchical for-Human Tables to Machi |
| R-taboolaR | 0.1.0-lp153.1.7 | Get Data from \'Taboola\' via the \'Windsor.ai\' API |
| R-tabshiftr | 0.4.1-lp153.5.2 | Reshape Disorganised Messy Data |
| R-tabularaster | 0.7.2-lp153.3.4 | Tidy Tools for \'Raster\' Data |
| R-tabularmaps | 0.1.0-lp153.18.2 | Create Tile-Grid Geographical Maps |
| R-tabulator | 1.0.0-lp153.15.2 | Efficient Tabulation with Stata-Like Output |
| R-tabulog | 0.1.1-lp153.2.13 | Parsing Semi-Structured Log Files into Tabular Format |
| R-tabuSearch | 1.1.1-lp153.2.13 | Tabu Search Algorithm for Binary Configurations |
| R-tacmagic | 0.3.1-lp153.2.13 | Positron Emission Tomography Time-Activity Curve Analysis |
| R-tactile | 0.2.1-lp153.1.5 | New and Extended Plots, Methods, and Panel Functions for \'l |
| R-tada | 2024.1.0-lp153.1.4 | Supporting Tools for Tada Science |
| R-tadaatoolbox | 0.17.0-lp153.3.12 | Helpers for Data Analysis and Presentation Focused on Underg |
| R-TAF | 4.2.0-lp153.1.5 | Transparent Assessment Framework for Reproducible Research |
| R-tagr | 1.0.1-lp153.1.5 | Tagging and Organizing Objects in R |
| R-TailClassifier | 0.1.1-lp153.1.4 | Tail Classifier |
| R-tailDepFun | 1.0.1-lp153.7.5 | Minimum Distance Estimation of Tail Dependence Models |
| R-tailloss | 1.0-lp153.2.13 | Estimate the Probability in the Upper Tail of the Aggregate |
| R-tailTransform | 1.0.4-lp153.1.10 | Symmetric Transformation of Tails for Plotting Differences |
| R-taipan | 0.1.2-lp153.13.2 | Tool for Annotating Images in Preparation for Analysis |
| R-takos | 0.2.0-lp153.18.2 | Analysis of Differential Calorimetry Scans |
| R-tanaka | 0.4.0-lp153.1.4 | Design Shaded Contour Lines (or Tanaka) Maps |
| R-TanB | 0.1-lp153.2.13 | The TanB Distribution |
| R-TANDEM | 1.0.3-lp153.4.7 | A Two-Stage Approach to Maximize Interpretability of Drug Re |
| R-TangledFeatures | 0.1.1-lp153.2.4 | Feature Selection in Highly Correlated Spaces |
| R-tangles | 0.8.1-lp153.3.12 | Anonymization of Spatial Point Patterns and Raster Objects |
| R-TangPoemR | 0.1.0-lp153.3.7 | Write Chinese Tang Poems |
| R-tangram | 0.8.2-lp153.4.2 | The Grammar of Tables |
| R-tangram.pipe | 1.1.2-lp153.3.7 | Row-by-Row Table Building |
| R-TaoTeProgramming | 1.0-lp153.1.13 | Illustrations from Tao Te Programming |
| R-TapeR | 0.5.3-lp153.1.5 | Flexible Tree Taper Curves Based on Semiparametric Mixed Mod |
| R-tapkee | 1.2-lp153.1.13 | Wrapper for \'tapkee\' Dimension Reduction Library |
| R-tapnet | 0.3-lp153.24.1 | Trait Matching and Abundance for Predicting Bipartite Networ |
| R-tapnet | 0.3-lp155.24.1 | Trait Matching and Abundance for Predicting Bipartite Networ |
| R-tapnet | 0.3-lp154.24.1 | Trait Matching and Abundance for Predicting Bipartite Networ |
| R-TAR | 1.0-lp153.2.13 | Bayesian Modeling of Autoregressive Threshold Time Series Mo |
| R-Tariff | 1.0.5-lp153.2.13 | Replicate Tariff Method for Verbal Autopsy |
| R-taRifx | 1.0.6.2-lp153.3.13 | Collection of Utility and Convenience Functions |
| R-TAShiny | 0.1.0-lp153.22.2 | \'Text Analyzer Shiny\' |
| R-tashu | 0.1.1-lp153.17.2 | Analysis and Prediction of Bicycle Rental Amount |
| R-tastypie | 0.1.1-lp153.1.5 | Easy Pie Charts |
| R-tatest | 1.0-lp153.2.13 | Two-Group Ta-Test |
| R-tatoo | 1.1.2-lp153.2.2 | Combine and Export Data Frames |
| R-tau | 0.0.25-lp153.1.4 | Text Analysis Utilities |
| R-TauP.R | 1.5-lp153.2.13 | Earthquake Traveltime Calculations for 1-D Earth Models |
| R-tauProcess | 2.1.3-lp153.1.5 | Tau Measure with Right-Censored Data |
| R-tauturri | 0.3.0-lp153.11.7 | Get Data Out of \'Tautulli\' (Formerly \'PlexPy\') |
| R-taxa | 0.4.3-lp153.1.4 | Classes for Storing and Manipulating Taxonomic Data |
| R-taxadb | 0.2.1-lp153.2.2 | A High-Performance Local Taxonomic Database Interface |
| R-taxalight | 0.1.5-lp153.1.12 | A Lightweight and Lightning-Fast Taxonomic Naming Interface |
| R-TaxicabCA | 0.1.1-lp153.2.13 | Taxicab Correspondence Analysis |
| R-taxize | 0.9.100-lp153.18.3 | Taxonomic Information from Around the Web |
| R-taxizedb | 0.3.1-lp153.2.2 | Tools for Working with \'Taxonomic\' Databases |
| R-taxonbridge | 1.2.2-lp153.8.2 | Create Custom Taxonomies Based on the NCBI Taxonomy and GBIF |
| R-taxonomizr | 0.10.6-lp153.1.4 | Functions to Work with NCBI Accessions and Taxonomy |
| R-Taxonstand | 2.4-lp153.1.12 | Taxonomic Standardization of Plant Species Names |
| R-taxotools | 0.0.139-lp153.1.3 | Taxonomic List Processing |
| R-taylor | 3.1.0-lp153.2.2 | Lyrics and Song Data for Taylor Swift\'s Discography |
| R-TaylorRussell | 1.2.1-lp153.3.2 | A Taylor-Russell Function for Multiple Predictors |
| R-tayloRswift | 0.1.0-lp153.1.11 | Color Palettes Generated by Taylor Swift Albums |
| R-tbd | 0.1.0-lp153.2.13 | Estimation of Causal Effects with Outcomes Truncated by Deat |
| R-tbdiag | 0.1-lp153.2.19 | Functions for tuberculosis diagnostics research |
| R-TBEST | 5.2-lp153.1.9 | Tree Branches Evaluated Statistically for Tightness |
| R-TBFmultinomial | 0.1.3-lp153.7.2 | TBF Methodology Extension for Multinomial Outcomes |
| R-tbl2xts | 1.0.4-lp153.12.7 | Convert Tibbles or Data Frames to Xts Easily |
| R-tbma | 0.1.0-lp153.3.7 | Tree-Based Moving Average Forecasting Model |
| R-tboot | 0.2.1-lp153.2.13 | Tilted Bootstrap |
| R-tbrf | 0.1.5-lp153.19.2 | Time-Based Rolling Functions |
| R-TBSSurvival | 1.3-lp153.2.13 | Survival Analysis using a Transform-Both-Sides Model |
| R-tcensReg | 0.1.7-lp153.4.12 | MLE of a Truncated Normal Distribution with Censored Data |
| R-tcftt | 0.1.0-lp153.2.13 | Two-Sample Tests for Skewed Data |
| R-TCGAretriever | 1.9.1-lp153.1.4 | Retrieve Genomic and Clinical Data from CBioPortal Including |
| R-tcgsaseq | 2.0.5-lp153.8.13 | Time-Course Gene Set Analysis for RNA-Seq Data |
| R-TCIApathfinder | 1.0.6-lp153.2.12 | Client for the Cancer Imaging Archive REST API |
| R-tcltk | 4.4.1-lp153.192.1 | Package providing R-tcltk |
| R-tcltk | 4.4.1-194.138 | Package providing R-tcltk |
| R-tcltk | 4.4.1-50.0.2.1.sr20240605 | Package providing R-tcltk |
| R-tcltk | 4.4.1-50.1 | Package providing R-tcltk |
| R-tcltk | 4.4.1-lp155.192.1 | Package providing R-tcltk |
| R-tcltk | 4.4.1-50.1 | Package providing R-tcltk |
| R-tcltk | 4.4.1-56.163 | Package providing R-tcltk |
| R-tcltk | 4.4.1-lp154.192.1 | Package providing R-tcltk |
| R-tcltk | 4.4.1-56.163 | Package providing R-tcltk |
| R-tcltk | 4.4.1-50.1 | Package providing R-tcltk |
| R-tcltk | 4.4.1-192.1 | Package providing R-tcltk |
| R-tcltk | 4.4.1-194.138 | Package providing R-tcltk |
| R-tcltk2 | 1.2_10-lp154.1.10 | Tcl/Tk Additions |
| R-tcltk2 | 1.2_10-lp153.1.26 | Tcl/Tk Additions |
| R-tcltk2 | 1.2_10-1.30 | Tcl/Tk Additions |
| R-tcltk2 | 1.2.11-lp153.2.13 | Tcl/Tk Additions |
| R-tcltk2 | 1.2_10-lp155.1.5 | Tcl/Tk Additions |
| R-tcltk2 | 1.2_10-1.38 | Tcl/Tk Additions |
| R-tcplfit2 | 0.1.6-lp153.2.2 | Concentration-Response Modeling of HTS or Transcriptomics Da |
| R-TCPMOR | 1.0-lp153.2.2 | Two Cut-Points with Maximum Odds Ratio |
| R-tcsinvest | 0.1.1-lp153.2.7 | R API for Tinkoff Investments |
| R-td | 0.0.6-lp153.2.7 | Access to the \'twelvedata\' Financial Data API |
| R-TDAmapper | 1.0-lp153.2.13 | Analyze High-Dimensional Data Using Discrete Morse Theory |
| R-TDbook | 0.0.6-lp153.1.8 | Companion Package for the Book \"Data Integration, Manipulat |
| R-TDboost | 1.5-lp153.1.4 | A Boosted Tweedie Compound Poisson Model |
| R-TDCM | 0.1.0-lp153.1.4 | The Transition Diagnostic Classification Model Framework |
| R-tdcmStan | 3.0.0-lp153.2.2 | Automating the Creation of Stan Code for TDCMs |
| R-TDCor | 0.1.2-lp153.2.13 | Gene Network Inference from Time-Series Transcriptomic Data |
| R-TDD | 0.4-lp153.2.13 | Time-Domain Deconvolution of Seismometer Response |
| R-TDMR | 2.2-lp153.6.10 | Tuned Data Mining in R |
| R-TDPanalysis | 1.0-lp153.3.7 | Granier\'s Sap Flow Sensors (TDP) Analysis |
| R-tdr | 0.13-lp153.14.5 | Target Diagram |
| R-tdsa | 1.1.0-lp153.1.5 | Time-Dependent Sensitivity Analysis |
| R-tdsc | 1.0.4-lp153.1.5 | Time Domain Signal Coding |
| R-TDSTNN | 0.1.0-lp153.2.2 | Time Delay Spatio Temporal Neural Network |
| R-tdthap | 1.3-lp153.1.4 | TDT Tests for Extended Haplotypes |
| R-TE | 0.3.0-lp153.16.4 | Insertion/Deletion Dynamics for Transposable Elements |
| R-tea | 1.1-lp153.2.13 | Threshold Estimation Approaches |
| R-TeachHist | 0.2.1-lp153.1.4 | A Collection of Amended Histograms Designed for Teaching Sta |
| R-TeachingDemos | 2.13-lp153.1.4 | Demonstrations for teaching and learning |
| R-TeachingDemos | 2.9-3.28 | Demonstrations for teaching and learning |
| R-TeachingDemos | 2.9-lp154.3.10 | Demonstrations for teaching and learning |
| R-TeachingDemos | 2.9-3.38 | Demonstrations for teaching and learning |
| R-TeachingDemos | 2.9-lp155.3.5 | Demonstrations for teaching and learning |
| R-TeachingDemos | 2.9-lp153.3.26 | Demonstrations for teaching and learning |
| R-TeachingSampling | 4.1.1-lp153.13.7 | Selection of Samples and Parameter Estimation in Finite Popu |
| R-TeachNet | 0.7.1-lp153.2.13 | Fits Neural Networks to Learn About Backpropagation |
| R-teal.code | 0.5.0-lp153.1.4 | Code Storage and Execution Class for \'teal\' Applications |
| R-teal.data | 0.6.0-lp153.2.2 | Data Model for \'teal\' Applications |
| R-teal.logger | 0.2.0-lp153.3.2 | Logging Setup for the \'teal\' Family of Packages |
| R-teal.transform | 0.5.0-lp153.3.2 | Functions for Extracting and Merging Data in the \'teal\' Fr |
| R-teal.widgets | 0.4.2-lp153.4.2 | \'shiny\' Widgets for \'teal\' Applications |
| R-tealeaves | 1.0.6-lp153.6.2 | Solve for Leaf Temperature Using Energy Balance |
| R-TEAM | 0.1.0-lp153.17.4 | Multiple Hypothesis Testing on an Aggregation Tree Method |
| R-teamcolors | 0.0.4-lp153.18.2 | Color Palettes for Pro Sports Teams |
| R-teamr | 0.0.1-lp153.2.12 | Send Formatted Messages, Images and Objects to Microsoft \'T |
| R-tectonicr | 0.3.2-lp153.1.2 | Analyzing the Orientation of Maximum Horizontal Stress |
| R-teda | 0.1.1-lp153.2.13 | An Implementation of the Typicality and Eccentricity Data An |
| R-tehtuner | 0.3.0-lp153.9.3 | Fit and Tune Models to Detect Treatment Effect Heterogeneity |
| R-teigen | 2.2.2-lp153.2.13 | Model-Based Clustering and Classification with the Multivari |
| R-Tejapi | 1.0.1-lp153.2.12 | API Wrapper for Taiwan Economic Journal Data Service |
| R-telegram | 0.6.0-lp153.2.12 | R Wrapper Around the Telegram Bot API |
| R-telegram.bot | 3.0.0-lp153.4.5 | Develop a \'Telegram Bot\' with R |
| R-telemetR | 1.0-lp153.2.2 | Filter and Analyze Generalised Telemetry Data from Organisms |
| R-TELP | 1.0-lp153.19.5 | Social Representation Theory Application: The Free Evocation |
| R-telraamStats | 1.1.2-lp153.1.2 | Retrieval and Visualization of Mobility Data from \'Telraam\ |
| R-TempCont | 0.1.0-lp153.2.13 | Temporal Contributions on Trends using Mixed Models |
| R-tempcyclesdata | 1.0.1-lp153.2.13 | Climate Data from Wang and Dillon |
| R-tempdisagg | 1.1.1-lp153.1.5 | Methods for Temporal Disaggregation and Interpolation of Tim |
| R-templates | 0.4.0-lp153.2.2 | A System for Working with Templates |
| R-templr | 0.2.0-lp153.2.4 | MASCOTNUM Algorithms Template Tools |
| R-tempoR | 1.0.4.4-lp153.2.13 | Characterizing Temporal Dysregulation |
| R-Temporal | 0.3.0.1-lp153.2.2 | Parametric Time to Event Analysis |
| R-TemporalGSSA | 1.0.1-lp153.1.8 | Outputs Temporal Profile of Molecules from Stochastic Simula |
| R-tempR | 0.10.1.1-lp153.2.2 | Temporal Sensory Data Analysis |
| R-tempted | 0.1.1-lp153.2.2 | Temporal Tensor Decomposition, a Dimensionality Reduction To |
| R-Tendril | 2.0.4-lp153.28.2 | Compute and Display Tendril Plots |
| R-tenispolaR | 0.1.4-lp153.7.2 | Provides ZENIT-POLAR Substitution Cipher Method of Encryptio |
| R-tensor | 1.5-lp153.2.13 | Tensor product of arrays |
| R-tensorA | 0.36-2.38 | Advanced tensors arithmetic with named indices |
| R-tensorA | 0.36-2.33 | Advanced tensors arithmetic with named indices |
| R-tensorA | 0.36-lp153.2.26 | Advanced tensors arithmetic with named indices |
| R-tensorA | 0.36-lp154.2.10 | Advanced tensors arithmetic with named indices |
| R-tensorA | 0.36.2.1-lp153.1.4 | Advanced Tensor Arithmetic with Named Indices |
| R-tensorA | 0.36-lp155.2.5 | Advanced tensors arithmetic with named indices |
| R-tensorBF | 1.0.2-lp153.2.13 | Bayesian Tensor Factorization |
| R-TensorClustering | 1.0.2-lp153.2.7 | Model-Based Tensor Clustering |
| R-TensorComplete | 0.2.0-lp153.1.5 | Tensor Noise Reduction and Completion Methods |
| R-tensorflow | 2.16.0-lp153.2.2 | R Interface to \'TensorFlow\' |
| R-tensorFun | 0.1.1-lp153.2.7 | Basic Functions to Handle Tensor Data in Array Class |
| R-tensorordinal | 0.2.0-lp153.2.13 | Tensor Noise Reduction and Completion Based on Ordinal Obser |
| R-TensorPreAve | 1.1.0-lp153.1.5 | Rank and Factor Loadings Estimation in Time Series Tensor Fa |
| R-tensorr | 0.1.1-lp153.4.7 | Sparse Tensors in R |
| R-tensorregress | 5.1-lp153.1.5 | Supervised Tensor Decomposition with Side Information |
| R-tensorsign | 0.1.0-lp153.1.13 | Nonparametric Tensor Completion via Sign Series |
| R-tensorsparse | 3.0-lp153.2.13 | Multiway Clustering via Tensor Block Models |
| R-tensorTS | 1.0.2-lp153.2.2 | Factor and Autoregressive Models for Tensor Time Series |
| R-tensr | 1.0.1-lp153.2.13 | Covariance Inference and Decompositions for Tensor Datasets |
| R-TEQR | 6.0.0-lp153.2.13 | Target Equivalence Range Design |
| R-TERAplusB | 1.0-lp153.2.20 | Test for A+B Traditional Escalation Rule |
| R-term | 0.3.5-lp153.3.7 | Create, Manipulate and Query Parameter Terms |
| R-ternvis | 1.2-lp153.2.13 | Visualisation, Verification and Calibration of Ternary Proba |
| R-terrainr | 0.7.5-lp153.1.4 | Landscape Visualizations in R and \'Unity\' |
| R-test2norm | 0.3.0-lp153.2.2 | Normative Standards for Cognitive Tests |
| R-testarguments | 0.0.1-lp153.10.2 | Test (Multiple) Arguments of a User-Defined Prediction Algor |
| R-testassay | 0.1.1-lp153.2.13 | A Hypothesis Testing Framework for Validating an Assay for P |
| R-testcorr | 0.2.0-lp153.11.2 | Testing Zero Correlation |
| R-TestDimorph | 0.5.5-lp153.9.5 | Analysis of the Interpopulation Difference in Degree of Sexu |
| R-testDriveR | 0.5.2-lp153.1.9 | Teaching Data for Statistics and Data Science |
| R-testequavar | 0.1.5-lp153.1.4 | Bootstrap Tests for Equality of 2, 3, or 4 Population Varian |
| R-tester | 0.2.0-lp153.2.2 | Tests and Checks Characteristics of R Objects |
| R-testex | 0.2.0-lp153.2.2 | Add Tests to Examples |
| R-testextra | 0.1.0.1-lp153.4.13 | Extract Test Blocks |
| R-TestGardener | 3.1.4-lp153.5.5 | Optimal Analysis of Test and Rating Scale Data |
| R-TestGenerator | 0.3.1-lp153.1.2 | Integration Unit Tests for Pharmacoepidemiological Studies |
| R-TestIndVars | 0.1.0-lp153.2.2 | Testing the Independence of Variables for Specific Covarianc |
| R-TestingSimilarity | 1.1-lp153.3.7 | Bootstrap Test for the Similarity of Dose Response Curves Co |
| R-testit | 0.13-lp153.1.13 | A Simple Package for Testing R Packages |
| R-testit | 0.9-1.36 | A Simple Package for Testing R Packages |
| R-testit | 0.9-1.24 | A Simple Package for Testing R Packages |
| R-testit | 0.9-lp155.1.5 | A Simple Package for Testing R Packages |
| R-testit | 0.9-lp153.1.23 | A Simple Package for Testing R Packages |
| R-testit | 0.9-lp154.1.10 | A Simple Package for Testing R Packages |
| R-TestScorer | 1.7.2-lp153.2.13 | GUI for Entering Test Items and Obtaining Raw and Transforme |
| R-testthat | 2.3.2-1.42 | R library for unit testing |
| R-testthat | 2.3.2-1.34 | R library for unit testing |
| R-testthat | 2.3.2-lp153.1.25 | R library for unit testing |
| R-testthat-devel | 2.3.2-1.42 | R library for unit testing |
| R-testthat-devel | 2.3.2-lp153.1.25 | R library for unit testing |
| R-testthat-devel | 2.3.2-1.34 | R library for unit testing |
| R-testthatmulti | 0.1.0-lp153.1.4 | Testing for R Packages with Multiple Attempts for Noisy Test |
| R-testtwice | 1.0.3-lp153.2.13 | Testing One Hypothesis Twice in Observational Studies |
| R-tetragon | 1.1.0-lp153.1.9 | Automatic Sequence Prediction by Expansion of the Distance M |
| R-Tex4exams | 0.1.2-lp153.1.5 | Generating \'Sweave\' Code for \'R/exams\' Questions in Math |
| R-TeXCheckR | 0.8.1-lp153.1.4 | Parses LaTeX Documents for Errors |
| R-TexMix | 0.5.3-lp153.3.13 | Supporting Functions and Data for Geo-Spatial Analytics Cour |
| R-TExPosition | 2.6.10.1-lp153.2.13 | Two-Table ExPosition |
| R-texPreview | 2.1.0-lp153.3.2 | Compile and Preview Snippets of \'LaTeX\' |
| R-text2sdgData | 0.1.1-lp153.1.5 | Contains the Trained \'text2sdg\' Ensemble Model Data |
| R-text2speech | 1.0.0-lp153.2.2 | Text to Speech Conversion |
| R-textab | 1.0.1-lp153.1.5 | Create Highly-Customized \'LaTeX\' Tables |
| R-textBoxPlacement | 1.0-lp153.1.5 | Compute a Non-Overlapping Layout of Text Boxes to Label Mult |
| R-textcat | 1.0.8-lp153.1.7 | N-Gram Based Text Categorization |
| R-textclean | 0.9.3-lp153.16.2 | Text Cleaning Tools |
| R-textdata | 0.4.5-lp153.2.2 | Download and Load Various Text Datasets |
| R-texteffect | 0.3-lp153.14.5 | Discovering Latent Treatments in Text Corpora and Estimating |
| R-texter | 0.1.9-lp153.12.2 | An Easy Text and Sentiment Analysis Library |
| R-textfeatures | 0.3.3-lp153.12.7 | Extracts Features from Text |
| R-textgRid | 1.0.1-lp153.2.13 | Praat TextGrid Objects in R |
| R-textile | 0.1.4-lp153.1.12 | Textile Images |
| R-textir | 2.0.5-lp153.2.13 | Inverse Regression for Text Analysis |
| R-TextMiningGUI | 0.3-lp153.14.2 | Text Mining GUI Interface |
| R-textometry | 0.1.6-lp153.1.9 | Textual Data Analysis Package Used by the TXM Software |
| R-textplot | 0.2.2-lp153.1.8 | Text Plots |
| R-textrank | 0.3.1-lp153.7.4 | Summarize Text by Ranking Sentences and Finding Keywords |
| R-textrar | 0.8.0-lp153.2.2 | Interface to \'TexTra\' from R |
| R-textshape | 1.7.5-lp153.2.2 | Tools for Reshaping Text |
| R-textTools | 0.1.0-lp153.1.13 | Functions for Text Cleansing and Text Analysis |
| R-textutils | 0.4.1-lp153.2.2 | Utilities for Handling Strings and Text |
| R-tf | 0.3.4-lp153.1.2 | S3 Classes and Methods for Tidy Functional Data |
| R-tfaddons | 0.10.0-lp153.13.5 | Interface to \'TensorFlow SIG Addons\' |
| R-tfautograph | 0.3.2-lp153.4.5 | Autograph R for \'Tensorflow\' |
| R-tfdeploy | 0.6.1-lp153.17.5 | Deploy \'TensorFlow\' Models |
| R-tfer | 1.3-lp153.2.13 | Forensic Glass Transfer Probabilities |
| R-tfestimators | 1.9.2-lp153.13.2 | Interface to \'TensorFlow\' Estimators |
| R-tfhub | 0.8.1-lp153.9.5 | Interface to \'TensorFlow\' Hub |
| R-tfio | 0.4.1-lp153.16.5 | Interface to \'TensorFlow IO\' |
| R-TFisher | 0.2.0-lp153.5.9 | Optimal Thresholding Fisher\'s P-Value Combination Method |
| R-tfNeuralODE | 0.1.0-lp153.1.5 | Create Neural Ordinary Differential Equations with \'tensorf |
| R-tfplot | 2014.2_2-lp154.1.10 | Time Frame User Utilities |
| R-tfplot | 2021.6.1-lp153.1.12 | Time Frame User Utilities |
| R-tfplot | 2014.2_2-lp155.1.5 | Time Frame User Utilities |
| R-tfplot | 2014.2_2-1.38 | Time Frame User Utilities |
| R-tfplot | 2014.2_2-lp153.1.23 | Time Frame User Utilities |
| R-tfplot | 2014.2_2-1.24 | Time Frame User Utilities |
| R-tfprobability | 0.15.1-lp153.6.5 | Interface to \'TensorFlow Probability\' |
| R-tframe | 2012.8_1-lp153.1.24 | Time Frame coding kernel |
| R-tframe | 2012.8_1-1.38 | Time Frame coding kernel |
| R-tframe | 2012.8_1-lp155.1.5 | Time Frame coding kernel |
| R-tframe | 2012.8_1-1.26 | Time Frame coding kernel |
| R-tframe | 2015.12.1.1-lp153.2.13 | Time Frame coding kernel |
| R-tframe | 2012.8_1-lp154.1.10 | Time Frame coding kernel |
| R-tframePlus | 2024.2.1-lp153.1.4 | Time Frame Coding Kernel Extensions |
| R-tfruns | 1.5.3-lp153.2.2 | Training Run Tools for \'TensorFlow\' |
| R-tfse | 0.5.0-lp153.2.13 | Tools for Script Editing |
| R-TFunHDDC | 1.0.1-lp153.4.2 | Clustering of Functional Data via Mixtures of t-Distribution |
| R-TFX | 0.1.0-lp153.3.12 | R API to TrueFX(tm) |
| R-tgamtheme | 0.1.0-lp153.10.5 | Globe and Mail Graphics Theme for \'ggplot2\' |
| R-tgcd | 2.7-lp153.1.5 | Thermoluminescence Glow Curve Deconvolution |
| R-tggd | 0.1.1-lp153.2.13 | The Standard Distribution Functions for the Truncated Genera |
| R-tgram | 0.2.3-lp153.2.13 | Compute and Plot Tracheidograms |
| R-TGST | 1.0-lp153.15.5 | Targeted Gold Standard Testing |
| R-tgstat | 2.3.27-lp153.1.4 | Amos Tanay\'s Group High Performance Statistical Utilities |
| R-TH.data | 1.0_3-1.28 | TH\'s Data Archive |
| R-TH.data | 1.0_3-lp154.1.10 | TH\'s Data Archive |
| R-TH.data | 1.0_3-lp155.1.5 | TH\'s Data Archive |
| R-TH.data | 1.0_3-lp153.1.26 | TH\'s Data Archive |
| R-TH.data | 1.0_3-1.38 | TH\'s Data Archive |
| R-TH.data | 1.1.2-lp153.1.5 | TH\'s Data Archive |
| R-thaipdf | 0.1.2-lp153.14.2 | R Markdown to PDF in Thai Language |
| R-thankr | 1.0.0-lp153.2.13 | Find Out Who Maintains the Packages you Use |
| R-ThankYouStars | 0.2.0-lp153.2.12 | Give your Dependencies Stars on GitHub! |
| R-thectar | 1.0.0-lp153.13.12 | Hermeneutic Content Analysis |
| R-theiaR | 0.4.0-lp153.6.4 | Download and Manage Data from Theia |
| R-TheOpenAIR | 0.1.0-lp153.3.2 | Integrate \'OpenAI\' Large Language Models into Your \'R\' W |
| R-ThermIndex | 0.2.0-lp153.2.13 | Calculate Thermal Indexes |
| R-Thermistor | 1.1.0-lp153.2.2 | The Simulation of the Thermistor Network |
| R-thermocouple | 1.0.2-lp153.2.13 | Temperature Measurement with Thermocouples, RTD and IC Senso |
| R-TheSFACE | 0.1.0-lp153.8.2 | The Subtype Free Average Causal Effect |
| R-thestats | 0.1.0-lp153.6.7 | R Package for Exploring Turkish Higher Education Statistics |
| R-thgenetics | 0.4.2-lp153.2.13 | Genetic Rare Variants Tests |
| R-thickmatch | 0.3.1-lp153.2.12 | Threshold Matching for Thick Description for Optimal Matchin |
| R-Thinknum | 1.3.0-lp153.3.12 | Thinknum Data Connection |
| R-thorn | 0.2.0-lp153.15.2 | \'HTMLwidgets\' Displaying Some \'WebGL\' Shaders |
| R-THREC | 1.0.0-lp153.2.2 | Tree Height Response Calibration for Swedish Forests |
| R-thredds | 0.1.4-lp153.2.4 | Crawler for Navigating THREDDS Catalogs |
| R-ThreeArmedTrials | 1.0.4-lp153.2.7 | Design and Analysis of Clinical Non-Inferiority or Superiori |
| R-threeboost | 1.1-lp153.2.13 | Thresholded variable selection and prediction based on estim |
| R-threeBrain | 1.0.1-lp153.3.4 | 3D Brain Visualization |
| R-ThreeGroups | 0.21-lp153.2.13 | ML Estimator for Baseline-Placebo-Treatment (Three-Group) Ex |
| R-threejs | 0.3.3-lp153.19.2 | Interactive 3D Scatter Plots, Networks and Globes |
| R-threejs | 0.3.1-1.14 | Interactive 3D Scatter Plots, Networks and Globes |
| R-threejs | 0.3.1-lp153.1.14 | Interactive 3D Scatter Plots, Networks and Globes |
| R-threejs | 0.3.1-1.93 | Interactive 3D Scatter Plots, Networks and Globes |
| R-threesixtygiving | 0.2.2-lp153.18.2 | Download Charitable Grants from the \'360Giving\' Platform |
| R-ThreeWay | 1.1.3-lp153.2.13 | Three-Way Component Analysis |
| R-ThreeWiseMonkeys | 0.1.0-lp153.7.2 | The Japanese Pictorial Maxim \"See No Evil, Hear No Evil, Sp |
| R-threewords | 0.1.0-lp153.2.12 | Represent Precise Coordinates in Three Words |
| R-threg | 1.0.3-lp153.2.13 | Threshold Regression |
| R-thregI | 1.0.4-lp153.2.13 | Threshold Regression for Interval-Censored Data with a Cure |
| R-ThresholdROC | 2.9.4-lp153.2.2 | Optimum Threshold Estimation |
| R-thriftr | 1.1.7-lp153.3.2 | Apache Thrift Client Server |
| R-thsls | 0.1-lp153.2.13 | Three-Stage Least Squares Estimation for Systems of Simultan |
| R-ThurMod | 1.1.11-lp153.1.5 | Thurstonian CFA and Thurstonian IRT Modeling |
| R-tibble | 3.0.4-lp155.1.5 | Simple Data Frames |
| R-tibble | 3.0.4-lp153.1.26 | Simple Data Frames |
| R-tibble | 3.2.1-lp153.1.5 | Simple Data Frames |
| R-tibble | 3.0.4-1.29 | Simple Data Frames |
| R-tibble | 3.0.4-lp154.1.10 | Simple Data Frames |
| R-tibble | 3.0.4-1.34 | Simple Data Frames |
| R-tibblify | 0.3.1-lp153.1.4 | Rectangle Nested Lists |
| R-tibbrConnector | 1.5.1-lp153.2.13 | R Interface to TIBCO \'tibbr\' |
| R-TickExec | 1.1-lp153.2.13 | Execution Functions for Tick Data Back Test |
| R-tictactoe | 0.2.2-lp153.2.13 | Tic-Tac-Toe Game |
| R-tictoc | 1.2.1-lp153.2.2 | Functions for Timing R Scripts, as Well as Implementations o |
| R-TiddlyWikiR | 1.0.1-lp153.2.13 | Create dynamic reports using a TiddlyWiki template. |
| R-TideCurves | 0.0.5-lp153.9.5 | Analysis and Prediction of Tides |
| R-TideHarmonics | 0.1.1-lp153.2.13 | Harmonic Analysis of Tides |
| R-Tides | 2.1-lp153.2.13 | Quasi-Periodic Time Series Characteristics |
| R-TideTables | 0.0.3-lp153.2.12 | Tide Analysis and Prediction of Predominantly Semi-Diurnal T |
| R-tidier | 0.2.0-lp153.2.2 | Enhanced \'mutate\' |
| R-tidybayes | 2.0.3-2.24 | Tidy Data and \'Geoms\' for Bayesian Models |
| R-tidybayes | 2.0.3-lp153.2.23 | Tidy Data and \'Geoms\' for Bayesian Models |
| R-tidybayes | 2.0.3-2.43 | Tidy Data and \'Geoms\' for Bayesian Models |
| R-tidyboot | 0.1.1-lp153.19.2 | Tidyverse-Compatible Bootstrapping |
| R-tidycat | 0.1.2-lp153.8.2 | Expand Tidy Output for Categorical Parameter Estimates |
| R-tidyCDISC | 0.1.0-lp153.2.7 | Quick Table Generation & Exploratory Analyses on ADaM-Ish Da |
| R-tidycmprsk | 0.2.0-lp153.2.7 | Competing Risks Estimation |
| R-tidycode | 0.1.1-lp153.15.2 | Analyze Lines of R Code the Tidy Way |
| R-tidyCpp | 0.0.7-lp153.1.4 | Tidy C++ Header-Only Definitions for Parts of the C API of R |
| R-tidycwl | 1.0.7-lp153.15.2 | Tidy Common Workflow Language Tools and Workflows |
| R-tidydatatutor | 0.1.0-lp153.6.5 | Send Your R Code to \'Tidy Data Tutor\' |
| R-tidyDenovix | 2.1.0-lp153.1.4 | Cleans Spectrophotometry Data Obtained from the Denovix DS-1 |
| R-tidydice | 1.0.0-lp153.2.2 | Simulates Dice Rolls and Coin Flips |
| R-tidyDisasters | 0.1.1-lp153.1.7 | Disaster Data Set Including FEMA, EMDAT and GTD Information |
| R-tidyedgar | 1.0.1-lp153.1.4 | Tidy Fundamental Financial Data from \'SEC\'s \'EDGAR\' \'AP |
| R-tidyEmoji | 0.1.1-lp153.2.2 | Discovers Emoji from Text |
| R-tidyestimate | 1.1.1-lp153.1.5 | A Tidy Implementation of \'ESTIMATE\' |
| R-tidyfast | 0.4.0-lp153.1.4 | Fast Tidying of Data |
| R-tidyfast-devel | 0.4.0-lp153.1.4 | Development files for tidyfast |
| R-tidyformula | 0.1.0-lp153.1.7 | Build Formulas Using Tidy Selection Helpers |
| R-tidygam | 0.2.0-lp153.2.2 | Tidy Prediction and Plotting of Generalised Additive Models |
| R-tidygapminder | 0.1.1-lp153.18.2 | Easily Tidy Gapminder Datasets |
| R-tidygeocoder | 1.0.5-lp153.9.4 | Geocoding Made Easy |
| R-tidygeoRSS | 0.0.1-lp153.20.4 | Tidy GeoRSS |
| R-tidyheatmaps | 0.2.1-lp153.2.2 | Heatmaps from Tidy Data |
| R-tidyhte | 1.0.2-lp153.2.4 | Tidy Estimation of Heterogeneous Treatment Effects |
| R-tidyindex | 0.1.0-lp153.2.2 | A Tidy Data Pipeline to Construct, Compare, and Analyse Inde |
| R-tidyjson | 0.3.2-lp153.4.2 | Tidy Complex \'JSON\' |
| R-tidylab | 4.1.1-lp153.4.8 | Shared Infrastructure of \'Tidylab\' Package Collection |
| R-tidylo | 0.2.0-lp153.5.7 | Weighted Tidy Log Odds Ratio |
| R-tidylog | 1.1.0-lp153.2.2 | Logging for \'dplyr\' and \'tidyr\' Functions |
| R-tidyLPA | 1.1.0-lp153.10.4 | Easily Carry Out Latent Profile Analysis (LPA) Using Open-So |
| R-tidyMC | 1.0.0-lp153.5.2 | Monte Carlo Simulations Made Easy and Tidy |
| R-tidyMicro | 1.47-lp153.16.11 | A Pipeline for Microbiome Analysis and Visualization |
| R-TidyMultiqc | 1.0.3-lp153.6.2 | Converts \'MultiQC\' Reports into Tidy Data Frames |
| R-tidymv | 3.4.2-lp153.2.2 | Tidy Model Visualisation for Generalised Additive Models |
| R-tidyndr | 0.2.1-lp153.2.8 | Analysis of the Nigeria National Data Repository (NDR) |
| R-tidypaleo | 0.1.3-lp153.4.2 | Tidy Tools for Paleoenvironmental Archives |
| R-tidyplus | 0.0.2-lp153.5.2 | Additional \'tidyverse\' Functions |
| R-tidypredict | 0.5-lp153.6.2 | Run Predictions Inside the Database |
| R-tidyquery | 0.2.4-lp153.3.2 | Query \'R\' Data Frames with \'SQL\' |
| R-tidyqwi | 0.1.2-lp153.21.2 | A Convenient API for Accessing United States Census Bureau\' |
| R-tidyr | 1.1.0-1.34 | Tidy Messy Data |
| R-tidyr | 1.1.0-1.40 | Tidy Messy Data |
| R-tidyr | 1.1.0-lp153.1.25 | Tidy Messy Data |
| R-tidyrates | 0.0.1-lp153.2.2 | Tidy Epidemiological Rates |
| R-tidyrgee | 0.1.0-lp153.16.3 | \'tidyverse\' Methods for \'Earth Engine\' |
| R-tidyRSS | 2.0.7-lp153.1.5 | Tidy RSS for R |
| R-tidyselect | 1.1.0-lp153.1.26 | Select from a Set of Strings |
| R-tidyselect | 1.2.1-lp153.2.2 | Select from a Set of Strings |
| R-tidyselect | 1.1.0-1.29 | Select from a Set of Strings |
| R-tidyselect | 1.1.0-1.35 | Select from a Set of Strings |
| R-tidyselect | 1.1.0-lp155.1.5 | Select from a Set of Strings |
| R-tidyselect | 1.1.0-lp154.1.10 | Select from a Set of Strings |
| R-tidysmd | 0.2.0-lp153.2.2 | Tidy Standardized Mean Differences |
| R-tidystopwords | 0.9.1-lp153.7.7 | Customisable Stop-Words in 110 Languages |
| R-tidystringdist | 0.1.4-lp153.11.5 | String Distance Calculation with Tidy Data Principles |
| R-tidytags | 1.1.1-lp153.5.4 | Importing and Analyzing \'Twitter\' Data Collected with \'Tw |
| R-tidyterra | 0.6.1-lp153.1.2 | \'tidyverse\' Methods and \'ggplot2\' Helpers for \'terra\' |
| R-tidytext | 0.4.2-lp153.2.2 | Text Mining using \'dplyr\', \'ggplot2\', and Other Tidy Too |
| R-tidytidbits | 0.3.2-lp153.6.2 | A Collection of Tools and Helpers Extending the Tidyverse |
| R-tidytreatment | 0.2.2-lp153.12.2 | Tidy Methods for Bayesian Treatment Effect Models |
| R-tidyverse | 1.3.0-lp153.1.23 | Easily Install and Load the \'Tidyverse\' |
| R-tidyverse | 1.3.0-1.47 | Easily Install and Load the \'Tidyverse\' |
| R-tidyverse | 1.3.0-1.24 | Easily Install and Load the \'Tidyverse\' |
| R-tidyvpc | 1.5.1-lp153.1.4 | VPC Percentiles and Prediction Intervals |
| R-tiff | 0.1_5-lp155.2.5 | Read and write TIFF images |
| R-tiff | 0.1.12-lp153.1.4 | Read and write TIFF images |
| R-tiff | 0.1_5-lp154.2.10 | Read and write TIFF images |
| R-tiff | 0.1_5-2.38 | Read and write TIFF images |
| R-tiff | 0.1_5-2.36 | Read and write TIFF images |
| R-tiff | 0.1_5-lp153.2.26 | Read and write TIFF images |
| R-tiger | 0.2.3.1-lp153.15.10 | TIme series of Grouped ERrors |
| R-tigerhitteR | 1.1.0-lp153.29.2 | Pre-Process of Time Series Data Set in R |
| R-TIGERr | 1.0.0-lp153.1.11 | Technical Variation Elimination with Ensemble Learning Archi |
| R-tigers | 0.1.3-lp153.1.4 | Integration of Geography, Environment, and Remote Sensing |
| R-tigerstats | 0.3.2-lp153.23.2 | R Functions for Elementary Statistics |
| R-tigger | 1.0.0-lp153.3.13 | Infers Novel Immunoglobulin Alleles from Sequencing Data |
| R-tightClust | 1.1-lp153.2.13 | Tight Clustering |
| R-tightenBlock | 0.1.7-lp153.1.4 | Tightens an Observational Block Design by Balanced Subset Ma |
| R-tigreBrowserWriter | 0.1.5-lp153.9.4 | \'tigreBrowser\' Database Writer |
| R-tiktokadsR | 0.1.0-lp153.1.8 | Access to TikTok Ads via the \'Windsor.ai\' API |
| R-tikzDevice | 0.10.1-lp154.3.10 | R Graphics Output in LaTeX Format |
| R-tikzDevice | 0.10.1-lp155.3.5 | R Graphics Output in LaTeX Format |
| R-tikzDevice | 0.12.6-lp153.1.4 | R Graphics Output in LaTeX Format |
| R-tikzDevice | 0.10.1-lp153.3.23 | R Graphics Output in LaTeX Format |
| R-tikzDevice | 0.10.1-3.38 | R Graphics Output in LaTeX Format |
| R-tikzDevice | 0.10.1-3.29 | R Graphics Output in LaTeX Format |
| R-TileManager | 0.4.1-lp153.1.8 | Tile Manager |
| R-tilemaps | 0.2.0-lp153.10.4 | Generate Tile Maps |
| R-tiler | 0.3.1-lp153.2.4 | Create Geographic and Non-Geographic Map Tiles |
| R-tilting | 1.1.1-lp153.2.13 | Variable Selection via Tilted Correlation Screening Algorith |
| R-timbeR | 2.0.1-lp153.10.2 | Calculate Wood Volumes from Taper Functions |
| R-timbr | 0.2.2-lp153.2.4 | Forest/Tree Data Frames |
| R-time.slots | 0.2.0-lp153.11.2 | Display Data in a Weekly Calendar View |
| R-timeDate | 3010.98-lp153.1.27 | Rmetrics - Chronological and Calendar Objects |
| R-timeDate | 3010.98-lp155.1.5 | Rmetrics - Chronological and Calendar Objects |
| R-timeDate | 3010.98-1.30 | Rmetrics - Chronological and Calendar Objects |
| R-timeDate | 3010.98-1.37 | Rmetrics - Chronological and Calendar Objects |
| R-timeDate | 3010.98-lp154.1.10 | Rmetrics - Chronological and Calendar Objects |
| R-timedelay | 1.0.11-lp153.2.13 | Time Delay Estimation for Stochastic Time Series of Gravitat |
| R-timedeppar | 1.0.3-lp153.1.5 | Infer Constant and Stochastic, Time-Dependent Model Paramete |
| R-timeline | 0.9-lp153.9.11 | Timelines for a Grammar of Graphics |
| R-timelineR | 1.0.0-lp153.14.8 | Visualization for Time Series Data |
| R-timelineS | 0.1.1-lp153.19.7 | Timeline and Time Duration-Related Tools |
| R-timeperiodsR | 0.7.3-lp153.1.4 | Simple Definition Of Time Intervals |
| R-TimeProjection | 0.2.0-lp153.3.12 | Time Projections |
| R-timeR | 1.2.0-lp153.7.7 | Time Your Codes |
| R-timeROC | 0.4-lp153.34.3 | Time-Dependent ROC Curve and AUC for Censored Survival Data |
| R-timesboot | 1.0-lp153.2.13 | Bootstrap computations for time series objects |
| R-timeSeq | 1.0.4-lp153.7.5 | Detecting Differentially Expressed Genes in Time Course RNA- |
| R-timeSeries | 3010.97-lp155.2.5 | Rmetrics - Financial Time Series Objects |
| R-timeSeries | 3010.97-2.25 | Rmetrics - Financial Time Series Objects |
| R-timeSeries | 3010.97-lp154.2.10 | Rmetrics - Financial Time Series Objects |
| R-timeSeries | 3010.97-lp153.2.24 | Rmetrics - Financial Time Series Objects |
| R-timeSeries | 3010.97-2.38 | Rmetrics - Financial Time Series Objects |
| R-TimeSeries.OBeu | 1.2.4-lp153.13.7 | Time Series Analysis \'OpenBudgets.eu\' |
| R-timetools | 1.15.3-lp153.1.5 | Seasonal/Sequential (Instants/Durations, Even or not) Time S |
| R-timetree | 1.0-lp153.4.11 | Interface to the TimeTree of Life Webpage |
| R-TimeVarConcurrentModel | 1.0-lp153.7.4 | Concurrent Multivariate Models with Time-Varying Coefficient |
| R-timevarcorr | 0.1.1-lp153.1.4 | Time Varying Correlation |
| R-timevis | 2.1.0-lp153.12.2 | Create Interactive Timeline Visualizations in R |
| R-TimeVizPro | 1.0.1-lp153.3.2 | Dynamic Data Explorer: Visualize and Forecast with \'TimeViz |
| R-TimeVTree | 0.3.1-lp153.2.13 | Survival Analysis of Time Varying Coefficients Using a Tree- |
| R-TimeWarp | 1.0.15-lp153.2.13 | Date Calculations and Manipulation |
| R-TIMP | 1.13.6-lp153.5.5 | Fitting Separable Nonlinear Models in Spectroscopy and Micro |
| R-timsac | 1.3.8.4-lp153.1.5 | TIMe Series Analysis and Control package |
| R-timsr | 0.0.3-lp153.5.7 | Easily Access timsTOF Data |
| R-Tinflex | 2.4-lp153.1.5 | A Universal Non-Uniform Random Number Generator |
| R-TInPosition | 0.13.6.1-lp153.2.13 | Inference Tests for TExPosition |
| R-tinsel | 0.0.1-lp153.2.13 | Transform Functions using Decorators |
| R-tint | 0.1.4-lp153.14.2 | \'tint\' is not \'Tufte\' |
| R-tinter | 0.1.0-lp153.4.5 | Generate a Monochromatic Palette |
| R-tinylabels | 0.2.4-lp153.1.5 | Lightweight Variable Labels |
| R-tinyProject | 0.6.1-lp153.2.13 | A Lightweight Template for Data Analysis Projects |
| R-tinyscholar | 0.1.7-lp153.5.8 | Get and Show Personal \'Google Scholar\' Profile |
| R-tinyspotifyr | 0.2.2-lp153.1.13 | Tinyverse R Wrapper for the \'Spotify\' Web API |
| R-tinytest | 1.4.1-lp153.1.7 | Lightweight and Feature Complete Unit Testing Framework |
| R-tinytest | 1.0.0-1.33 | Lightweight and Feature Complete Unit Testing Framework |
| R-tinytest | 1.0.0-lp153.1.26 | Lightweight and Feature Complete Unit Testing Framework |
| R-tinytest | 1.0.0-lp154.1.10 | Lightweight and Feature Complete Unit Testing Framework |
| R-tinytest | 1.0.0-lp155.1.5 | Lightweight and Feature Complete Unit Testing Framework |
| R-tinytest | 1.0.0-1.28 | Lightweight and Feature Complete Unit Testing Framework |
| R-tinytest2JUnit | 1.1.2-lp153.2.2 | Convert \'tinytest\' Output to JUnit XML |
| R-tinytex | 0.19-1.29 | Helper Functions to Install and Maintain \'TeX Live\', and C |
| R-tinytex | 0.19-lp154.1.10 | Helper Functions to Install and Maintain \'TeX Live\', and C |
| R-tinytex | 0.19-lp155.1.5 | Helper Functions to Install and Maintain \'TeX Live\', and C |
| R-tinytex | 0.19-lp153.1.25 | Helper Functions to Install and Maintain \'TeX Live\', and C |
| R-tinytex | 0.19-1.28 | Helper Functions to Install and Maintain \'TeX Live\', and C |
| R-tinythemes | 0.0.2-lp153.2.2 | Lightweight Repackaging of \'Themes\' for \'ggplot2\' |
| R-TipDatingBeast | 1.1.0-lp153.12.4 | Using Tip Dates with Phylogenetic Trees in BEAST |
| R-tipom | 1.0.2.1-lp153.2.13 | Automated measure-based classification for flint tools |
| R-TippingPoint | 1.2.0-lp153.5.7 | Enhanced Tipping Point Displays the Results of Sensitivity A |
| R-tippy | 0.1.0-lp153.18.2 | Add Tooltips to \'R markdown\' Documents or \'Shiny\' Apps |
| R-tipr | 1.0.2-lp153.1.4 | Tipping Point Analyses |
| R-tis | 1.37.1-lp153.1.23 | Time Indexes and Time Indexed Series |
| R-tis | 1.39-lp153.1.12 | Time Indexes and Time Indexed Series |
| R-tis | 1.37.1-1.29 | Time Indexes and Time Indexed Series |
| R-tis | 1.37.1-lp155.1.5 | Time Indexes and Time Indexed Series |
| R-tis | 1.37.1-1.54 | Time Indexes and Time Indexed Series |
| R-tis | 1.37.1-lp154.1.10 | Time Indexes and Time Indexed Series |
| R-TITAN2 | 2.4.3-lp153.1.4 | Threshold Indicator Taxa Analysis |
| R-titanic | 0.1.0-lp153.2.13 | Titanic Passenger Survival Data Set |
| R-TITEgBOIN | 0.3.0-lp153.1.4 | Time-to-Event Dose-Finding Design for Multiple Toxicity Grad |
| R-titrationCurves | 0.1.0-lp153.2.13 | Acid/Base, Complexation, Redox, and Precipitation Titration |
| R-tkrplot | 0.0.23-lp155.2.5 | TK Rplot |
| R-tkrplot | 0.0.23-2.38 | TK Rplot |
| R-tkrplot | 0.0.23-2.29 | TK Rplot |
| R-tkrplot | 0.0.23-lp154.2.10 | TK Rplot |
| R-tkrplot | 0.0.23-lp153.2.23 | TK Rplot |
| R-tkRplotR | 0.1.7-lp153.1.12 | Display Resizable Plots |
| R-tktdjl2r | 0.2.0-lp153.3.13 | Interface for the \'Julia\' \'TKTD\' Simulator \'TKTDsimulat |
| R-tkWidgets | 1.56.0-lp153.1.23 | R based tk widgets |
| R-tkWidgets | 1.56.0-lp154.1.10 | R based tk widgets |
| R-tkWidgets | 1.56.0-lp155.1.5 | R based tk widgets |
| R-tkWidgets | 1.56.0-1.38 | R based tk widgets |
| R-tkWidgets | 1.56.0-1.24 | R based tk widgets |
| R-tLagInterim | 1.0-lp153.1.8 | Interim Monitoring of Clinical Trials with Time-Lagged Outco |
| R-tLagPropOdds | 1.9-lp153.1.4 | Proportional Odds Model with Censored, Time-Lagged Categoric |
| R-Tlasso | 1.0.2-lp153.7.4 | Non-Convex Optimization and Statistical Inference for Sparse |
| R-TLBC | 1.0-lp153.13.12 | Two-Level Behavior Classification |
| R-TLCAR | 0.1.0-lp153.1.4 | Computation of Topp-Leone Cauchy Rayleigh (TLCAR ) distribut |
| R-tldr | 0.4.0-lp153.3.2 | T Loux Doing R: Functions to Simplify Data Analysis and Repo |
| R-tlemix | 0.1.3-lp153.2.13 | Trimmed Maximum Likelihood Estimation |
| R-tlm | 0.1.5-lp153.1.13 | Effects under Linear, Logistic and Poisson Regression Models |
| R-tlmec | 0.0.2-lp153.2.13 | Linear Student-t Mixed-Effects Models with Censored Data |
| R-tls | 0.1.0-lp153.2.13 | Tools of Total Least Squares in Error-in-Variables Models |
| R-tlsh | 0.1.0-lp153.3.12 | Transitive Locality-Sensitive Hashing (LSH) for Record Linka |
| R-tm | 0.6-2.30 | Text Mining Package |
| R-tm | 0.6-lp155.2.5 | Text Mining Package |
| R-tm | 0.6-lp153.2.23 | Text Mining Package |
| R-tm | 0.6-lp154.2.10 | Text Mining Package |
| R-tm | 0.6-2.38 | Text Mining Package |
| R-tm.plugin.alceste | 1.1.1-lp153.2.2 | Import Texts from Files in the \'Alceste\' Format Using the |
| R-tm.plugin.dc | 0.2.10-lp153.4.4 | Text Mining Distributed Corpus Plug-in |
| R-tm.plugin.europresse | 1.4-lp153.5.4 | Import Articles from \'Europresse\' Using the \'tm\' Text Mi |
| R-tm.plugin.factiva | 1.8-lp153.12.4 | Import Articles from \'Factiva\' Using the \'tm\' Text Minin |
| R-tm.plugin.koRpus | 0.4.2-lp153.3.4 | Full Corpus Support for the \'koRpus\' Package |
| R-tm.plugin.lexisnexis | 1.4.1-lp153.4.4 | Import Articles from \'LexisNexis\' Using the \'tm\' Text Mi |
| R-tm1r | 1.1.8-lp153.2.12 | The Integration Between \'IBM COGNOS TM1\' and R |
| R-tmap | 3.3.3-lp153.9.7 | Thematic Maps |
| R-TmCalculator | 1.0.3-lp153.1.11 | Melting Temperature of Nucleic Acid Sequences |
| R-tmcn | 0.2.13-lp153.2.13 | A Text Mining Toolkit for Chinese |
| R-TMDb | 1.1-lp153.6.2 | Access to TMDb API |
| R-tmhmm | 1.3-lp153.6.13 | Interface to TMHMM |
| R-Tmisc | 1.0.1-lp153.1.5 | Turner Miscellaneous |
| R-tmle | 2.0.1.1-lp153.2.2 | Targeted Maximum Likelihood Estimation |
| R-tmle.npvi | 0.10.0-lp153.2.13 | Targeted Learning of a NP Importance of a Continuous Exposur |
| R-tmod | 0.50.13-lp153.2.2 | Feature Set Enrichment Analysis for Metabolomics and Transcr |
| R-tmplate | 0.0.3-lp153.1.12 | Code Generation Based on Templates |
| R-tmpm | 1.0.3-lp153.7.2 | Trauma Mortality Prediction Model |
| R-tmuxr | 0.2.4-lp153.2.13 | Manage \'tmux\' Sessions, Windows, and Panes |
| R-tmvmixnorm | 1.1.1-lp153.2.13 | Sampling from Truncated Multivariate Normal and t Distributi |
| R-tmvnsim | 1.0.2-lp153.2.13 | Truncated Multivariate Normal Simulation |
| R-tmvtnorm | 1.6-lp153.1.4 | Truncated Multivariate Normal and Student t Distribution |
| R-TNC | 0.1.0-lp153.2.13 | Temporal Network Centrality (TNC) Measures |
| R-tnet | 3.0.16-lp153.7.4 | Weighted, Two-Mode, and Longitudinal Networks Analysis |
| R-tnl.Test | 0.1.0-lp153.1.4 | Non-Parametric Tests for the Two-Sample Problem |
| R-TNRS | 0.3.6-lp153.2.2 | Taxonomic Name Resolution Service |
| R-tobit1 | 0.1.3-lp153.1.11 | One Equation Tobit Model |
| R-TOC | 0.0.6-lp153.2.4 | Total Operating Characteristic Curve and ROC Curve |
| R-todor | 0.1.2-lp153.5.2 | Find All TODO Comments and More |
| R-tolerance | 3.0.0-lp153.2.2 | Statistical Tolerance Intervals and Regions |
| R-toolbox | 0.1.1-lp153.1.8 | List, String, and Meta Programming Utility Functions |
| R-toolmaRk | 0.0.1-lp153.18.2 | Tests for Same-Source of Toolmarks |
| R-tools | 4.4.1-50.1 | Package providing R-tools |
| R-tools | 4.4.1-194.138 | Package providing R-tools |
| R-tools | 4.4.1-56.163 | Package providing R-tools |
| R-tools | 4.4.1-50.1 | Package providing R-tools |
| R-tools | 4.4.1-50.1 | Package providing R-tools |
| R-tools | 4.4.1-194.138 | Package providing R-tools |
| R-tools | 4.4.1-56.163 | Package providing R-tools |
| R-tools | 4.4.1-lp154.192.1 | Package providing R-tools |
| R-tools | 4.4.1-50.0.2.1.sr20240605 | Package providing R-tools |
| R-tools | 4.4.1-lp153.192.1 | Package providing R-tools |
| R-tools | 4.4.1-lp155.192.1 | Package providing R-tools |
| R-tools | 4.4.1-192.1 | Package providing R-tools |
| R-tools4uplift | 1.0.0-lp153.15.7 | Tools for Uplift Modeling |
| R-toolStability | 0.1.2-lp153.1.5 | Tool for Stability Indices Calculation |
| R-TopDom | 0.10.1-lp153.7.2 | An Efficient and Deterministic Method for Identifying Topolo |
| R-topdowntimeratio | 0.1.0-lp153.4.7 | Top-Down Time Ratio Segmentation for Coordinate Trajectories |
| R-topicmodels.etm | 0.1.0-lp153.5.4 | Topic Modelling in Embedding Spaces |
| R-TopicScore | 0.0.1-lp153.3.7 | The Topic SCORE Algorithm to Fit Topic Models |
| R-TopKLists | 1.0.8-lp153.16.2 | Inference, Aggregation and Visualization for Top-K Ranked Li |
| R-topmodel | 0.7.5-lp153.1.7 | Implementation of the Hydrological Model TOPMODEL in R |
| R-topoDistance | 1.0.2-lp153.19.2 | Calculating Topographic Paths and Distances |
| R-toposort | 1.0.0-lp153.1.5 | Topological Sorting Algorithms |
| R-toprdata | 1.0.2-lp153.1.7 | Gene and Exon Data from Ensembl |
| R-topsa | 0.1.0-lp153.3.12 | Topological Sensitivity Analysis |
| R-topsis | 1.0-lp153.2.13 | TOPSIS method for multiple-criteria decision making (MCDM) |
| R-TopSisWM | 1.0.2-lp153.1.8 | Multi-Criteria Method for Decision (TOPSIS) |
| R-torchopt | 0.1.4-lp153.3.4 | Advanced Optimizers for Torch |
| R-TORDs | 1.0.0-lp153.1.9 | Third Order Rotatable Designs (TORDs) |
| R-tornado | 0.1.3-lp153.1.4 | Plots for Model Sensitivity and Variable Importance |
| R-toRvik | 1.1.1-lp153.1.7 | Extensive and Tidy NCAA Men\'s College Basketball Data |
| R-toscmask | 1.2.3-lp153.1.10 | Improved Versions of Base Functions |
| R-TOSI | 0.3.0-lp153.1.7 | Two-Directional Simultaneous Inference for High-Dimensional |
| R-tosls | 1.0-lp153.2.13 | Instrumental Variables Two Stage Least Squares estimation |
| R-tosr | 0.1.4-lp153.5.2 | Create the Tree of Science from WoS and Scopus |
| R-totalcensus | 0.6.6-lp153.6.2 | Extract Decennial Census and American Community Survey Data |
| R-TotalCopheneticIndex | 2.0.1-lp153.7.7 | Quantify the Balance of Phylogenetic Trees |
| R-TOU | 0.1.0-lp153.5.5 | Transformed Ornstein-Uhlenbeck Model for Adsorption Kinetics |
| R-touchard | 2.0.1-lp153.2.13 | Touchard Model and Regression |
| R-TouRnament | 0.2.5-lp153.2.13 | Tools for Sports Competitions |
| R-tourr | 1.2.0-lp153.2.2 | Tour Methods for Multivariate Data Visualisation |
| R-ToxCrit | 1.0-lp153.1.12 | Calculates Safety Stopping Boundaries for a Single-Arm Trial |
| R-toxEval | 1.3.2-lp153.4.2 | Exploring Biological Relevance of Environmental Chemistry Ob |
| R-toxtestD | 2.0-lp153.2.13 | Experimental design for binary toxicity tests |
| R-TP.idm | 1.5.1-lp153.1.5 | Estimation of Transition Probabilities for the Illness-Death |
| R-TPAC | 0.2.0-lp153.1.4 | Tissue-Adjusted Pathway Analysis of Cancer (TPAC) |
| R-TPACData | 0.1.0-lp153.1.5 | Human Protein Atlas Data for Tissue-Adjusted Pathway Analysi |
| R-tpAUC | 2.1.1-lp153.3.7 | Estimation and Inference of Two-Way pAUC, pAUC and pODC |
| R-TPD | 1.1.0-lp153.17.4 | Methods for Measuring Functional Diversity Based on Trait Pr |
| R-tpe | 1.0.1-lp153.2.19 | Tree preserving embedding |
| R-TPES | 1.0.0-lp153.2.13 | Tumor Purity Estimation using SNVs |
| R-TPLSr | 1.0.4-lp153.17.2 | Thresholded Partial Least Squares Model for Neuroimaging Dat |
| R-Tplyr | 1.2.1-lp153.1.4 | A Traceability Focused Grammar of Clinical Data Summary |
| R-tpm | 2.0.2-lp153.2.2 | FHWA TPM Score Calculation Functions |
| R-TPmsm | 1.2.12-lp153.1.4 | Estimation of Transition Probabilities in Multistate Models |
| R-tpn | 1.8-lp153.1.4 | Truncated Positive Normal Model and Extensions |
| R-tpwb | 0.1.0-lp153.2.2 | The Three Parameter Weibull Distribution |
| R-tqk | 0.1.8-lp153.1.5 | Get Financial Data in Korea |
| R-tr.iatgen | 1.0.0-lp153.3.2 | Translate \'iatgen\' Generated QSF Files |
| R-TraceAssist | 0.1.0-lp153.12.5 | Nonparametric Trace Regression via Sign Series Representatio |
| R-tracenma | 0.1.0-lp153.2.2 | Database for Developing Transitivity Methodology in Network |
| R-tracer | 1.0.0-lp153.2.13 | Slick Call Stacks |
| R-tracheideR | 0.1.1-lp153.2.13 | Standardize Tracheidograms |
| R-track | 1.1.9-lp153.2.13 | Store Objects on Disk Automatically |
| R-trackdown | 1.1.1-lp153.17.2 | Collaborative Editing of Rmd (or Rnw) Documents in Google Dr |
| R-trackeR | 1.6.0-lp153.4.2 | Infrastructure for Running, Cycling and Swimming Data from G |
| R-TrackReconstruction | 1.3-lp153.9.5 | Reconstruct Animal Tracks from Magnetometer, Accelerometer, |
| R-tractor.base | 3.4.2-lp153.1.3 | Read, Manipulate and Visualise Magnetic Resonance Images |
| R-trade | 0.8.1-lp153.1.8 | Tools for Trade Practitioners |
| R-tradepolicy | 0.7.0-lp153.3.2 | Replication of \'An Advanced Guide To Trade Policy Analysis\ |
| R-TRADER | 1.2.4-lp153.2.2 | Tree Ring Analysis of Disturbance Events in R |
| R-Trading | 3.0-lp153.1.4 | CCR, Advanced Correlation & Beta Estimates, Betting Strategi |
| R-trafo | 1.0.1-lp153.9.2 | Estimation, Comparison and Selection of Transformations |
| R-traineR | 2.0.4-lp153.9.5 | Predictive (Classification and Regression) Models Homologato |
| R-trainR | 0.0.1-lp153.19.2 | An Interface to the National Rail Enquiries Systems |
| R-trainsplit | 1.1-lp153.2.2 | Split a Dataframe, Tibble, or Data.table into Training and T |
| R-traipse | 0.3.0-lp153.3.7 | Shared Tools for Tracking Data |
| R-traitdataform | 0.6.8-lp153.10.7 | Formatting and Harmonizing Ecological Trait-Data |
| R-traits | 0.5.1-lp153.1.2 | Species Trait Data from Around the Web |
| R-traitstrap | 0.1.0-lp153.2.2 | Bootstrap Trait Values to Calculate Moments |
| R-trajr | 1.5.1-lp153.1.4 | Animal Trajectory Analysis |
| R-TraMineR | 2.2.10-lp153.2.2 | Trajectory Miner: a Sequence Analysis Toolkit |
| R-trampoline | 0.1.1-lp153.2.5 | Make Functions that Can Recurse Infinitely |
| R-TRAMPR | 1.0.10-lp153.1.11 | \'TRFLP\' Analysis and Matching Package for R |
| R-transcribeR | 0.0.0-lp153.2.12 | Automated Transcription of Audio Files Through the HP IDOL A |
| R-transforEmotion | 0.1.1-lp153.12.5 | Sentiment Analysis for Text and Qualitative Data |
| R-Transform | 1.0-lp153.1.5 | Statistical Transformations |
| R-transform.hazards | 0.1.1-lp153.1.5 | Transforms Cumulative Hazards to Parameter Specified by ODE |
| R-transformer | 0.2.0-lp153.1.4 | Implementation of Transformer Deep Neural Network with Vigne |
| R-transformmos | 0.1.0-lp153.2.13 | Transform MOS Values to be Robust for using Rank Based Stati |
| R-TransGraph | 1.0.1-lp153.2.4 | Transfer Graph Learning |
| R-translate | 0.1.2-lp153.3.12 | Bindings for the Google Translate API v2 |
| R-translate.logit | 1.0-lp153.1.5 | Translation of Logit Regression Coefficients into Percentage |
| R-translated | 0.1.1-lp153.1.5 | Simple and Robust Translation System |
| R-translateR | 1.0-lp153.3.12 | Bindings for the Google and Microsoft Translation APIs |
| R-translation.ko | 0.0.1.5.2-lp153.2.13 | R Manuals Literally Translated in Korean |
| R-transmem | 0.1.1-lp153.20.2 | Treatment of Membrane-Transport Data |
| R-TransModel | 2.3-lp153.1.11 | Fit Linear Transformation Models for Right Censored Data |
| R-TransP | 0.1-lp153.2.13 | Implementation of Transportation Problem Algorithms |
| R-transplantr | 0.2.0-lp153.2.13 | Audit and Research Functions for Transplantation |
| R-TransTGGM | 1.0.0-lp153.6.4 | Transfer Learning for Tensor Graphical Models |
| R-tranSurv | 1.2.2-lp153.2.12 | Transformation Model Based Estimation of Survival and Regres |
| R-transx | 0.0.1-lp153.4.5 | Transform Univariate Time Series |
| R-trapezoid | 2.0.2-lp153.1.9 | The Trapezoidal Distribution |
| R-Tratamentos.ad | 0.2.4-lp153.1.8 | Pacote Para Analise De Experimentos Com Testemunhas Adiciona |
| R-traudem | 1.0.3-lp153.2.2 | Use TauDEM |
| R-TRD | 1.1-lp153.2.13 | Transmission Ratio Distortion |
| R-treasuryTR | 0.1.6-lp153.2.5 | Generate Treasury Total Returns from Yield Data |
| R-TreatmentSelection | 2.1.1-lp153.14.5 | Evaluate Treatment Selection Biomarkers |
| R-tree | 1.0.43-lp153.1.7 | Classification and regression trees |
| R-tree3d | 0.1.2-lp153.3.4 | 3D Tree Models |
| R-treebalance | 1.2.0-lp153.1.4 | Computation of Tree (Im)Balance Indices |
| R-treebase | 0.1.5-lp153.1.4 | Discovery, Access and Manipulation of \'TreeBASE\' Phylogeni |
| R-treeClust | 1.1.7-lp153.2.13 | Cluster Distances Through Trees |
| R-treecm | 1.2.2-lp153.3.7 | Centre of Mass Assessment and Consolidation of Trees |
| R-treedata.table | 0.1.0-lp155.18.1 | Manipulation of Matched Phylogenies and Data using \'data.ta |
| R-treedata.table | 0.1.0-lp154.18.1 | Manipulation of Matched Phylogenies and Data using \'data.ta |
| R-treedata.table | 0.1.0-lp153.18.1 | Manipulation of Matched Phylogenies and Data using \'data.ta |
| R-treedater | 0.5.0-lp153.4.7 | Fast Molecular Clock Dating of Phylogenetic Trees with Rate |
| R-TreeDep | 0.1.3-lp153.17.7 | Air Pollution Removal by Dry Deposition on Trees |
| R-TreeDiagram | 0.1.1-lp153.10.2 | Tree Diagram |
| R-treefit | 1.0.2-lp153.8.4 | The First Software for Quantitative Trajectory Inference |
| R-treeheatr | 0.2.1-lp153.18.4 | Heatmap-Integrated Decision Tree Visualizations |
| R-treelet | 1.1-lp153.2.13 | An Adaptive Multi-Scale Basis for High-Dimensional, Sparse a |
| R-treeman | 1.1.4-lp153.5.9 | Phylogenetic Tree Manipulation Class and Methods |
| R-treemap | 2.4.4-lp153.5.2 | Treemap Visualization |
| R-treemapify | 2.5.6-lp153.2.2 | Draw Treemaps in \'ggplot2\' |
| R-TreePar | 3.3-lp153.5.11 | Estimating birth and death rates based on phylogenies |
| R-TreeSim | 2.4-lp153.18.2 | Simulating Phylogenetic Trees |
| R-TreeSim | 2.4-lp155.18.1 | Simulating Phylogenetic Trees |
| R-TreeSim | 2.4-lp154.18.1 | Simulating Phylogenetic Trees |
| R-TreeSimGM | 2.5-lp153.18.1 | Simulating Phylogenetic Trees under General Bellman Harris a |
| R-TreeSimGM | 2.5-lp154.18.1 | Simulating Phylogenetic Trees under General Bellman Harris a |
| R-TreeSimGM | 2.5-lp155.18.1 | Simulating Phylogenetic Trees under General Bellman Harris a |
| R-treestartr | 0.1.0-lp154.18.1 | Generate Starting Trees for Combined Molecular, Morphologica |
| R-treestartr | 0.1.0-lp153.18.2 | Generate Starting Trees for Combined Molecular, Morphologica |
| R-treestartr | 0.1.0-lp155.18.1 | Generate Starting Trees for Combined Molecular, Morphologica |
| R-treetop | 0.0.4-lp153.7.7 | A Shiny-Based Application for Extracting Forest Information |
| R-treetop | 0.0.4-7.17 | A Shiny-Based Application for Extracting Forest Information |
| R-trelliscopejs | 0.2.6-lp153.24.2 | Create Interactive Trelliscope Displays |
| R-trelloR | 0.8.0-lp153.1.5 | Access the Trello API |
| R-tremendousr | 1.0.0-lp153.3.7 | Easily Send Rewards and Incentives with \'Tremendous\' from |
| R-trend | 1.1.6-lp153.1.5 | Non-Parametric Trend Tests and Change-Point Detection |
| R-trendchange | 1.2-lp153.1.11 | Innovative Trend Analysis and Time-Series Change Point Analy |
| R-TrendInTrend | 1.1.3-lp153.31.2 | Odds Ratio Estimation and Power Calculation for the Trend in |
| R-TrendLSW | 1.0.2-lp153.2.2 | Wavelet Methods for Analysing Locally Stationary Time Series |
| R-trendsegmentR | 1.3.0-lp153.1.5 | Linear Trend Segmentation |
| R-TrendTM | 2.0.19-lp153.2.4 | Trend of High-Dimensional Time Series Matrix Estimation |
| R-Trendtwosub | 0.0.2-lp153.8.2 | Two Sample Order Free Trend Nonparametric Inference |
| R-trendyy | 0.1.1-lp153.18.2 | A Tidy Wrapper Around \'gtrendsR\' |
| R-TRES | 1.1.5-lp153.2.7 | Tensor Regression with Envelope Structure |
| R-TREXr | 1.0.0-lp153.11.8 | Tree Sap Flow Extractor |
| R-TRexSelector | 1.0.0-lp153.1.3 | T-Rex Selector: High-Dimensional Variable Selection & FDR Co |
| R-Tri.Hierarchical.IBDs | 1.0.0-lp153.1.5 | Tri-Hierarchical IBDs (Tri- Hierarchical Incomplete Block De |
| R-triact | 0.3.0-lp153.1.5 | Analyzing the Lying Behavior of Cows from Accelerometer Data |
| R-TrialSize | 1.4-lp153.2.13 | R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample S |
| R-triangle | 1.0-lp153.2.7 | Distribution Functions and Parameter Estimates for the Trian |
| R-triangulation | 0.5.0-lp153.2.13 | Determine Position of Observer |
| R-tribe | 0.1.8-lp153.13.7 | Play with the Tribe of Attributes |
| R-tricolore | 1.2.4-lp153.2.2 | A Flexible Color Scale for Ternary Compositions |
| R-triebeard | 0.3.0-4.30 | \'Radix\' Trees in \'Rcpp\' |
| R-triebeard | 0.3.0-4.35 | \'Radix\' Trees in \'Rcpp\' |
| R-triebeard | 0.3.0-lp154.4.10 | \'Radix\' Trees in \'Rcpp\' |
| R-triebeard | 0.3.0-lp153.4.25 | \'Radix\' Trees in \'Rcpp\' |
| R-triebeard | 0.3.0-lp155.4.5 | \'Radix\' Trees in \'Rcpp\' |
| R-triggerstrategy | 1.2.0-lp153.1.5 | Trigger Strategy in Clinical Trials |
| R-trimcluster | 0.1_2-1.26 | Cluster analysis with trimming |
| R-trimcluster | 0.1_2-1.38 | Cluster analysis with trimming |
| R-trimcluster | 0.1_2-lp153.1.24 | Cluster analysis with trimming |
| R-trimcluster | 0.1_2-lp155.1.5 | Cluster analysis with trimming |
| R-trimcluster | 0.1_2-lp154.1.10 | Cluster analysis with trimming |
| R-trimcluster | 0.1.5-lp153.2.13 | Cluster analysis with trimming |
| R-trimetStops | 0.1.0-lp153.2.13 | Information on all of the TriMet Stops in the Portland Metro |
| R-trimmer | 0.8.1-lp153.11.2 | Trim an Object |
| R-trimr | 1.1.1-lp153.5.7 | An Implementation of Common Response Time Trimming Methods |
| R-trimTrees | 1.2-lp153.2.13 | Trimmed opinion pools of trees in a random forest |
| R-trinROC | 0.6-lp153.7.5 | Statistical Tests for Assessing Trinormal ROC Data |
| R-trioGxE | 0.1.1-lp153.3.13 | A data smoothing approach to explore and test gene-environme |
| R-TrioSGL | 1.1.0-lp153.2.13 | Trio Model with a Combination of Lasso and Group Lasso Regul |
| R-tripack | 1.3.9.1-lp153.2.13 | Triangulation of irregularly spaced data |
| R-tripack | 1.3.8-lp154.1.10 | Triangulation of irregularly spaced data |
| R-tripack | 1.3.8-1.28 | Triangulation of irregularly spaced data |
| R-tripack | 1.3.8-lp155.1.5 | Triangulation of irregularly spaced data |
| R-tripack | 1.3.8-lp153.1.23 | Triangulation of irregularly spaced data |
| R-tripack | 1.3.8-1.31 | Triangulation of irregularly spaced data |
| R-tripEstimation | 0.0.44-lp153.2.13 | Metropolis Sampler and Supporting Functions for Estimating A |
| R-TripleR | 1.5.4-lp153.7.2 | Social Relation Model (SRM) Analyses for Single or Multiple |
| R-tripsAndDipR | 0.1.0-lp153.2.13 | Identification of 2n and 3n Samples from Amplicon Sequencing |
| R-triversity | 1.0-lp153.6.2 | Diversity Measures on Tripartite Graphs |
| R-TRMF | 0.2.1-lp155.1.1 | Temporally Regularized Matrix Factorization |
| R-TRMF | 0.2.1-lp154.1.1 | Temporally Regularized Matrix Factorization |
| R-TRMF | 0.2.1-lp153.1.2 | Temporally Regularized Matrix Factorization |
| R-tRnslate | 0.0.3-lp153.1.12 | Translate R Code in Source Files |
| R-tropAlgebra | 0.1.1-lp153.2.13 | Tropical Algebraic Functions |
| R-tRophicPosition | 0.8.0-lp153.3.7 | Bayesian Trophic Position Estimation with Stable Isotopes |
| R-tropicalSparse | 0.1.0-lp153.2.13 | Sparse Tropical Algebra |
| R-trotter | 0.6-lp153.2.13 | Pseudo-Vectors Containing All Permutations, Combinations and |
| R-TroublemakeR | 0.0.1-lp153.2.4 | Generates Spatial Problems in R for \'AMPL\' |
| R-TrtCombo.FactorialExp.SR | 4.0.4-lp153.1.13 | Generation of Treatment Combination (in Standard Order) in 2 |
| R-truelies | 0.2.0-lp153.17.4 | Bayesian Methods to Estimate the Proportion of Liars in Coin |
| R-trueskill | 0.1-lp153.2.13 | Implementation the TrueSkill algorithm in R |
| R-TrueSkillThroughTime | 0.1.1-lp153.1.5 | Skill Estimation Based on a Single Bayesian Network |
| R-TrumpetPlots | 0.0.1.1-lp153.1.5 | Visualization of Genetic Association Studies |
| R-truncAIPW | 1.0.1-lp153.1.5 | Doubly Robust Estimation under Covariate-Induced Dependent L |
| R-truncdist | 1.0.2-lp153.2.13 | Truncated Random Variables |
| R-TruncExpFam | 1.1.1-lp153.1.3 | Truncated Exponential Family |
| R-truncgof | 0.6.0-lp153.2.13 | GoF tests allowing for left truncated data |
| R-truncnorm | 1.0.9-lp153.1.5 | Truncated Normal Distribution |
| R-truncreg | 0.2.5-lp153.3.12 | Truncated Gaussian Regression Models |
| R-truncSP | 1.2.2-lp153.3.12 | Semi-parametric estimators of truncated regression models |
| R-trundler | 0.1.19-lp153.5.14 | Historical Retail Data from the \'Trundler\' API |
| R-trust | 0.1.8-lp153.2.13 | Trust Region Optimization |
| R-trustedtimestamping | 0.2.6-lp153.3.12 | Create Trusted Timestamps of Datasets and Files |
| R-truthiness | 1.2.5-lp153.16.7 | Illusory Truth Longitudinal Study |
| R-tryCatchLog | 1.3.1-lp153.1.12 | Advanced \'tryCatch()\' and \'try()\' Functions |
| R-tryr | 0.1.1-lp153.2.2 | Client/Server Error Handling for HTTP API Frameworks |
| R-ts.extend | 0.1.1-lp153.2.13 | Stationary Gaussian ARMA Processes and Other Time-Series Uti |
| R-ts2net | 0.1.0-lp153.7.5 | From Time Series to Networks |
| R-TSA | 1.3.1-lp153.3.5 | Time Series Analysis |
| R-tsallisqexp | 0.9.4-lp153.1.13 | Tsallis q-Exp Distribution |
| R-tsapp | 1.0.4-lp153.6.7 | Time Series, Analysis and Application |
| R-tsbox | 0.4.1-lp153.1.5 | Class-Agnostic Time Series |
| R-tsc | 1.0.3-lp153.2.13 | Likelihood-ratio Tests for Two-Sample Comparisons |
| R-TSclust | 1.3.1-lp153.21.5 | Time Series Clustering Utilities |
| R-TScompare | 2015.4.1-lp153.2.13 | \'TSdbi\' Database Comparison |
| R-tscopula | 0.3.9-lp153.1.4 | Time Series Copula Models |
| R-tscount | 1.4.3-lp153.2.13 | Analysis of Count Time Series |
| R-TSCS | 0.1.1-lp153.22.5 | Time Series Cointegrated System |
| R-TSdata | 2016.8.1-lp153.2.13 | \'TSdbi\' Illustration |
| R-tsdataleaks | 2.1.1-lp153.1.4 | Exploit Data Leakages in Time Series Forecasting Competition |
| R-tsdb | 1.1.0-lp153.1.7 | Terribly-Simple Data Base for Time Series |
| R-TSdbi | 2017.4.1-lp153.2.13 | Time Series Database Interface |
| R-tsdecomp | 0.2-lp153.2.13 | Decomposition of Time Series Data |
| R-tsdf | 1.1.8-lp153.2.13 | Two-/Three-Stage Designs for Phase 1&2 Clinical Trials |
| R-tsdisagg2 | 0.1.0-lp153.2.13 | Time Series Disaggregation |
| R-TSdisaggregation | 2.0.0-lp153.1.9 | High-Dimensional Temporal Disaggregation |
| R-TSdist | 3.7.1-lp153.7.5 | Distance Measures for Time Series Data |
| R-TSDT | 1.0.7-lp153.1.10 | Treatment-Specific Subgroup Detection Tool |
| R-TSE | 0.1.0-lp153.2.13 | Total Survey Error |
| R-TSEind | 0.1.0-lp153.2.13 | Total Survey Error (Independent Samples) |
| R-tsensembler | 0.1.0-lp153.15.3 | Dynamic Ensembles for Time Series Forecasting |
| R-tsentiment | 1.0.5-lp153.6.2 | Fetching Tweet Data for Sentiment Analysis |
| R-TSEntropies | 0.9-lp153.2.13 | Time Series Entropies |
| R-tseries | 0.10.47-1.25 | Time series analysis and computational finance |
| R-tseries | 0.10.47-1.31 | Time series analysis and computational finance |
| R-tseries | 0.10.47-lp154.1.10 | Time series analysis and computational finance |
| R-tseries | 0.10.47-lp155.1.5 | Time series analysis and computational finance |
| R-tseries | 0.10.47-lp153.1.23 | Time series analysis and computational finance |
| R-tseriesChaos | 0.1.13.1-lp153.2.13 | Analysis of Nonlinear Time Series |
| R-tseriesEntropy | 0.7.2-lp153.2.4 | Entropy Based Analysis and Tests for Time Series |
| R-TSeriesMMA | 0.1.1-lp153.2.13 | Multiscale Multifractal Analysis of Time Series Data |
| R-TSEtools | 0.2.2-lp153.1.5 | Manage Data from Stock Exchange Markets |
| R-TSEwgt | 0.1.0-lp153.2.13 | Total Survey Error Under Multiple, Different Weighting Schem |
| R-tsfa | 2021.1.3-lp153.1.13 | Time Series Factor Analysis |
| R-TSfame | 2015.4.1-lp153.2.12 | \'TSdbi\' Extensions for Fame |
| R-tsfngm | 0.1.0-lp153.1.12 | Time Series Forecasting using Nonlinear Growth Models |
| R-TSGSIS | 0.1-lp153.4.7 | Two Stage-Grouped Sure Independence Screening |
| R-TSHRC | 0.1.6-lp153.2.13 | Two Stage Hazard Rate Comparison |
| R-tsibbledata | 0.4.1-lp153.5.7 | Diverse Datasets for \'tsibble\' |
| R-tsibbletalk | 0.1.0-lp153.24.2 | Interactive Graphics for Tsibble Objects |
| R-tsiR | 0.4.3-lp153.12.2 | An Implementation of the TSIR Model |
| R-tsLSTMx | 0.1.0-lp153.1.4 | Predict Time Series Using LSTM Model Including Exogenous Var |
| R-TSMCP | 1.0-lp153.2.13 | Fast Two Stage Multiple Change Point Detection |
| R-TSMining | 1.0-lp153.9.11 | Mining Univariate and Multivariate Motifs in Time-Series Dat |
| R-TSMN | 1.0.0-lp153.2.13 | Truncated Scale Mixtures of Normal Distributions |
| R-TSMSN | 0.0.1-lp153.11.4 | Truncated Scale Mixtures of Skew-Normal Distributions |
| R-tsna | 0.3.5-lp153.6.7 | Tools for Temporal Social Network Analysis |
| R-tsne | 0.1.3.1-lp153.1.10 | T-Distributed Stochastic Neighbor Embedding for R (t-SNE) |
| R-TSodbc | 2015.4.1-lp153.1.12 | \'TSdbi\' Extensions for ODBC |
| R-TSP | 1.0_9-lp154.2.10 | Traveling Salesperson Problem (TSP) |
| R-TSP | 1.0_9-lp153.2.26 | Traveling Salesperson Problem (TSP) |
| R-TSP | 1.0_9-2.38 | Traveling Salesperson Problem (TSP) |
| R-TSP | 1.0_9-2.34 | Traveling Salesperson Problem (TSP) |
| R-TSP | 1.0_9-lp155.2.5 | Traveling Salesperson Problem (TSP) |
| R-TSP | 1.2.4-lp153.1.5 | Traveling Salesperson Problem (TSP) |
| R-Tsphere | 1.0-lp153.11.11 | Transposable Sphering for Large-Scale Inference with Correla |
| R-tsPI | 1.0.4-lp153.1.5 | Improved Prediction Intervals for ARIMA Processes and Struct |
| R-tspmeta | 1.2-lp153.11.2 | Instance Feature Calculation and Evolutionary Instance Gener |
| R-TSPred | 5.1-lp153.4.5 | Functions for Benchmarking Time Series Prediction |
| R-tsqn | 1.0.0-lp153.2.13 | Applications of the Qn Estimator to Time Series (Univariate |
| R-tsriadditive | 1.0.0-lp153.2.13 | Two Stage Residual Inclusion Additive Hazards Estimator |
| R-tsrobprep | 0.3.2-lp153.2.7 | Robust Preprocessing of Time Series Data |
| R-TSS.RESTREND | 0.3.1-lp153.19.2 | Time Series Segmentation of Residual Trends |
| R-TSsmoothing | 0.1.0-lp153.14.5 | Trend Estimation of Univariate and Bivariate Time Series wit |
| R-TSsql | 2017.4.1-lp153.2.13 | Generic SQL Helper Functions for \'TSdbi\' SQL Plugins |
| R-TSSQLite | 2015.4.1-lp153.5.10 | \'TSdbi\' Extensions for \'SQLite\' |
| R-TSSS | 1.3.4.5-lp153.1.5 | Time Series Analysis with State Space Model |
| R-tstools | 0.4.3-lp153.1.4 | A Time Series Toolbox for Official Statistics |
| R-TSTr | 1.2-lp153.4.10 | Ternary Search Tree for Auto-Completion and Spell Checking |
| R-TSTutorial | 1.2.7-lp153.1.5 | Fitting and Predict Time Series Interactive Laboratory |
| R-TSVC | 1.5.3-lp153.1.5 | Tree-Structured Modelling of Varying Coefficients |
| R-tsvio | 1.0.6-lp153.1.4 | Simple Utilities for Tab-Separated-Value (TSV) Files |
| R-tsvr | 1.0.2-lp153.2.13 | Timescale-Specific Variance Ratio for Use in Community Ecolo |
| R-TT | 0.98-lp153.20.2 | Display Tree Structured Data using Datatable Widget (DT) |
| R-ttbbeer | 1.1.0-lp153.2.13 | US Beer Statistics from TTB |
| R-TTCA | 0.1.1-lp153.5.11 | Transcript Time Course Analysis |
| R-ttcg | 1.0.1-lp153.1.12 | Three-Term Conjugate Gradient for Unconstrained Optimization |
| R-ttdo | 0.0.9-lp153.1.7 | Extend \'tinytest\' with \'diffobj\' |
| R-ttestshiny | 0.1.0-lp153.7.12 | Ttest Shiny |
| R-tth | 4.16.0-lp153.2.2 | TeX-to-HTML/MathML Translators TtH/TtM |
| R-TTmoment | 1.0-lp153.2.13 | Sampling and Calculating the First and Second Moments for th |
| R-tTOlr | 0.2.3-lp153.1.5 | Likelihood Ratio Statistics for One or Two Sample T-Tests |
| R-TTR | 0.23.6-lp153.1.25 | Technical Trading Rules |
| R-TTR | 0.23.6-lp154.1.10 | Technical Trading Rules |
| R-TTR | 0.23.6-1.25 | Technical Trading Rules |
| R-TTR | 0.24.4-lp153.1.4 | Technical Trading Rules |
| R-TTR | 0.23.6-1.34 | Technical Trading Rules |
| R-TTR | 0.23.6-lp155.1.5 | Technical Trading Rules |
| R-TTS | 1.1-lp153.1.5 | Master Curve Estimates Corresponding to Time-Temperature Sup |
| R-ttservice | 0.4.1-lp153.1.2 | A Service for Tidy Transcriptomics Software Suite |
| R-ttt | 1.0-lp153.11.2 | The Table Tool |
| R-ttTensor | 1.0.1-lp153.3.7 | Tensor-Train Decomposition |
| R-tttplot | 1.1.1-lp153.2.13 | Time to Target Plot |
| R-ttutils | 1.0.1.1-lp153.1.10 | Utility functions |
| R-ttwa | 0.8.5.1-lp153.2.13 | Travel To Work Area. |
| R-tuber | 0.9.9-lp153.15.7 | Client for the YouTube API |
| R-tubern | 0.1.0-lp153.2.12 | R Client for the YouTube Analytics and Reporting API |
| R-tuckerR.mmgg | 1.5.1-lp153.2.13 | Three-Mode Principal Components Analysis |
| R-TUFLOWR | 0.1.1-lp153.1.5 | Helper Functions for \'TUFLOW FV\' Models |
| R-tufte | 0.13-lp153.6.2 | Tufte\'s Styles for R Markdown Documents |
| R-tufterhandout | 1.2.1-lp153.23.2 | Tufte-style html document format for rmarkdown |
| R-tukeyGH | 1.0.0-lp153.2.7 | Tukey\'s g-and-h Probability Distribution |
| R-TULIP | 1.0.2-lp153.3.7 | A Toolbox for Linear Discriminant Analysis with Penalties |
| R-tumblR | 1.2-lp153.4.10 | Access to Tumblr V2 API |
| R-tumgr | 0.0.4-lp153.2.13 | Tumor Growth Rate Analysis |
| R-TunePareto | 2.5.3-lp153.1.5 | Multi-Objective Parameter Tuning for Classifiers |
| R-tuneR | 1.4.7-lp153.2.2 | Analysis of Music and Speech |
| R-tuneRanger | 0.7-lp153.2.2 | Tune Random Forest of the \'ranger\' Package |
| R-tuple | 0.4.02-lp153.2.13 | Find every match, or orphan, duplicate, triplicate, or other |
| R-turboEM | 2021.1-lp153.3.11 | A Suite of Convergence Acceleration Schemes for EM, MM and O |
| R-turfR | 0.8.7-lp153.8.11 | TURF Analysis for R |
| R-turkeyelections | 0.1.2-lp153.2.2 | The Most Comprehensive R Package for Turkish Election Result |
| R-turner | 0.1.9-lp153.2.2 | Turn Vectors and Lists of Vectors into Indexed Structures |
| R-TurtleGraphics | 1.0.8-lp153.2.13 | Turtle Graphics |
| R-tutorial | 0.4.3-lp153.7.7 | Convert R Markdown Files to DataCamp Light HTML Files |
| R-tuts | 0.1.1-lp153.4.12 | Time Uncertain Time Series Analysis |
| R-TUWmodel | 1.1.1-lp153.2.13 | Lumped/Semi-Distributed Hydrological Model for Education Pur |
| R-tv | 2.0.2-lp153.1.4 | Tools for Creating Time-Varying Datasets |
| R-tvem | 1.4.1-lp153.1.5 | Time-Varying Effect Models |
| R-tvgarch | 2.4.2-lp153.2.2 | Time Varying GARCH Modelling |
| R-tvgeom | 1.0.1-lp153.2.13 | The Time-Varying (Right-Truncated) Geometric Distribution |
| R-tvm | 0.5.2-lp153.2.2 | Time Value of Money Functions |
| R-tvmComp | 1.0.2-lp153.1.9 | Discounting and Compounding Calculations for Various Scenari |
| R-tvmediation | 1.1.0-lp153.6.7 | Time Varying Mediation Analysis |
| R-tvthemes | 1.3.3-lp153.1.3 | TV Show Themes and Color Palettes for \'ggplot2\' Graphics |
| R-twangContinuous | 1.0.0-lp153.4.2 | Toolkit for Weighting and Analysis of Nonequivalent Groups - |
| R-twangMediation | 1.2-lp153.6.2 | Twang Causal Mediation Modeling via Weighting |
| R-twangRDC | 1.0-lp153.8.5 | Gradient Boosting for Linkage Failure in FSRDCs |
| R-tweedie | 2.3.5-lp153.1.8 | Evaluation of Tweedie Exponential Family Models |
| R-tweenr | 1.0.1-1.34 | Interpolate Data for Smooth Animations |
| R-tweenr | 1.0.1-1.32 | Interpolate Data for Smooth Animations |
| R-tweenr | 1.0.1-lp153.1.24 | Interpolate Data for Smooth Animations |
| R-tweenr | 1.0.1-lp154.1.10 | Interpolate Data for Smooth Animations |
| R-tweenr | 1.0.1-lp155.1.5 | Interpolate Data for Smooth Animations |
| R-twenty48 | 0.2.1-lp153.1.8 | Play a Game of 2048 in the Console |
| R-twfy | 0.1.0-lp153.2.12 | Drive the API for TheyWorkForYou |
| R-twiddler | 0.5.0-lp153.2.13 | Interactive manipulation of R expressions |
| R-twilio | 0.1.0-lp153.8.7 | An Interface to the Twilio API for R |
| R-twitteR | 1.1.9-lp153.3.12 | R Based Twitter Client |
| R-twitteradsR | 0.1.0-lp153.1.7 | Get Twitter Ads Data via the \'Windsor.ai\' API |
| R-TwitterAutomatedTrading | 0.1.0-lp153.18.2 | Automated Trading Using Tweets |
| R-twitterwidget | 0.1.1-lp153.15.2 | Render a Twitter Status in R Markdown Pages |
| R-twn | 0.2.4-lp153.2.2 | Taxa Waterbeheer Nederland voor R |
| R-TwoArmSurvSim | 0.2-lp153.10.7 | Simulate Survival Data for Randomized Clinical Trials |
| R-TwoCop | 1.0-lp153.2.13 | Nonparametric test of equality between two copulas |
| R-twopartm | 0.1.0-lp153.1.8 | Two-Part Model with Marginal Effects |
| R-twopexp | 0.1.0-lp153.1.5 | The Two Parameter Exponential Distribution |
| R-TwoPhaseInd | 1.1.2-lp153.1.11 | Estimate Gene-Treatment Interaction Exploiting Randomization |
| R-TwoRegression | 1.0.0-lp153.5.7 | Develop and Apply Two-Regression Algorithms |
| R-TwoSampleTest.HD | 1.2-lp153.1.5 | A Two-Sample Test for the Equality of Distributions for High |
| R-twostageTE | 1.3-lp153.2.13 | Two-Stage Threshold Estimation |
| R-TwoStepCLogit | 1.2.5-lp153.2.13 | Conditional Logistic Regression: A Two-Step Estimation Metho |
| R-twoway | 0.6.3-lp153.2.13 | Analysis of Two-Way Tables |
| R-twoxtwo | 0.1.0-lp153.11.2 | Work with Two-by-Two Tables |
| R-txshift | 0.3.8-lp153.9.2 | Efficient Estimation of the Causal Effects of Stochastic Int |
| R-txtplot | 1.0.4-lp153.2.13 | Text Based Plots |
| R-txtq | 0.2.4-lp153.1.13 | A Small Message Queue for Parallel Processes |
| R-typehint | 0.1.2-lp153.5.2 | Auto-Check Types, Dimensions, and Values of Function Argumen |
| R-types | 1.0.0-lp153.2.13 | Type Annotations |
| R-typetracer | 0.2.2-lp153.1.5 | Trace Function Parameter Types |
| R-tzupdater | 0.1.5-lp153.1.4 | Time Zone Database Updater |
| R-u5mr | 0.1.1-lp153.3.5 | Under-Five Child Mortality Estimation |
| R-UBCRM | 1.0.3-lp153.2.2 | Simulate and Conduct Dose-Escalation Phase I Studies |
| R-ucbthesis | 1.0-lp153.7.10 | UC Berkeley graduate division thesis template |
| R-uchardet | 1.1.1-lp153.1.7 | The Universal Character Encoding Detector |
| R-ucie | 1.0.2-lp153.11.5 | Mapping 3D Data into CIELab Color Space |
| R-uclust | 1.0.0-lp153.7.5 | Clustering and Classification Inference with U-Statistics |
| R-ucminf | 1.1.4-1.31 | General-Purpose Unconstrained Non-Linear Optimization |
| R-ucminf | 1.1.4-1.38 | General-Purpose Unconstrained Non-Linear Optimization |
| R-ucminf | 1.1.4-lp154.1.10 | General-Purpose Unconstrained Non-Linear Optimization |
| R-ucminf | 1.1.4-lp153.1.24 | General-Purpose Unconstrained Non-Linear Optimization |
| R-ucminf | 1.1.4-lp155.1.5 | General-Purpose Unconstrained Non-Linear Optimization |
| R-UCR.ColumnNames | 0.1.0-lp153.2.13 | Fixes Column Names for Uniform Crime Report \"Offenses Known |
| R-UCSCXenaTools | 1.4.8-lp153.4.4 | Download and Explore Datasets from UCSC Xena Data Hubs |
| R-udapi | 0.1.3-lp153.2.12 | Urban Dictionary API Client |
| R-UdderQuarterInfectionData | 1.0.0-lp153.2.13 | Udder Quarter Infection Data |
| R-udunits2 | 0.13.2.1-lp153.1.10 | Udunits-2 Bindings for R |
| R-ufs | 0.5.12-lp153.3.2 | A Collection of Utilities |
| R-UHM | 0.3.0-lp153.2.2 | Unified Zero-Inflated Hurdle Regression Models |
| R-ui | 0.1.1-lp153.3.12 | Uncertainty Intervals and Sensitivity Analysis for Missing D |
| R-uiucthemes | 0.3.1-lp153.21.2 | \'R\' \'Markdown\' Themes for \'UIUC\' Documents and Present |
| R-uk2us | 0.1.0-lp153.1.13 | Convert Words Between UK and US English |
| R-ukbabynames | 0.3.0-lp153.1.10 | UK Baby Names Data |
| R-ukbnmr | 2.2-lp153.1.5 | Removal of Unwanted Technical Variation from UK Biobank NMR |
| R-ukbtools | 0.11.3-lp153.17.2 | Manipulate and Explore UK Biobank Data |
| R-ukgasapi | 0.21-lp153.3.12 | API for UK Energy Market Information |
| R-UKgrid | 0.1.3-lp153.16.7 | The UK National Electricity Transmission System Dataset |
| R-uklr | 1.0.2-lp153.6.5 | Client to United Kingdom Land Registry |
| R-ukpolice | 0.2.2-lp153.13.2 | Download Data on UK Police and Crime |
| R-Ultimixt | 2.1-lp153.2.13 | Bayesian Analysis of Location-Scale Mixture Models using a W |
| R-umbridge | 1.0-lp153.3.4 | Integration for the UM-Bridge Protocol |
| R-ump | 0.5.8-lp153.2.13 | Uniformly Most Powerful Tests |
| R-UMR | 1.1.0-lp153.1.12 | Unmatched Monotone Regression |
| R-unbalanced | 2.0-lp153.8.11 | Racing for Unbalanced Methods Selection |
| R-unbalhaar | 2.1-lp153.1.10 | Function estimation via Unbalanced Haar wavelets |
| R-UncDecomp | 1.0.1-lp153.16.7 | Uncertainty Decomposition |
| R-UncertainInterval | 0.7.0-lp153.9.12 | Uncertain Interval Methods for Three-Way Cut-Point Determina |
| R-uncertainty | 0.2.0-lp153.4.7 | Uncertainty Estimation and Contribution Analysis |
| R-UNCLES | 2.0-lp153.3.7 | Unification of Clustering Results from Multiple Datasets usi |
| R-uncmbb | 0.2.2-lp153.12.7 | UNC Men\'s Basketball Match Results Since 1949-1950 Season |
| R-uncorbets | 0.1.2-lp153.1.4 | Uncorrelated Bets via Minimum Torsion Algorithm |
| R-UNF | 2.0.8-lp153.1.10 | Tools for Creating Universal Numeric Fingerprints for Data |
| R-unga | 0.1.0-lp153.2.13 | Makes Multiple Contingency Tables of a Data Frame |
| R-unglue | 0.1.0-lp153.2.13 | Extract Matched Substrings Using a Pattern |
| R-unhcrthemes | 0.6.2-lp153.3.2 | UNHCR \'ggplot2\' Theme and Colour Palettes |
| R-unheadr | 0.4.0-lp153.2.2 | Handle Data with Messy Header Rows and Broken Values |
| R-uni.survival.tree | 1.5-lp153.1.13 | A Survival Tree Based on Stabilized Score Tests for High-dim |
| R-uniah | 1.2-lp153.1.4 | Unimodal Additive Hazards Model |
| R-Unicode | 15.1.0.1-lp153.1.4 | Unicode Data and Utilities |
| R-unicol | 0.3.0-lp153.2.2 | The Colors of your University |
| R-unifed | 1.1.6-lp153.1.11 | The Unifed Distribution |
| R-UnifiedDoseFinding | 0.1.10-lp153.1.8 | Dose-Finding Methods for Non-Binary Outcomes |
| R-unifir | 0.2.4-lp153.1.4 | A Unifying API for Calling the \'Unity\' \'3D\' Video Game E |
| R-uniformly | 0.4.0-lp153.1.5 | Uniform Sampling |
| R-uniftest | 1.1-lp153.2.13 | Tests for Uniformity |
| R-unikn | 1.0.0-lp153.2.2 | Graphical Elements of the University of Konstanz\'s Corporat |
| R-uniqtag | 1.0.1-lp153.1.9 | Abbreviate Strings to Short, Unique Identifiers |
| R-uniReg | 1.1-lp153.3.7 | Unimodal Penalized Spline Regression using B-Splines |
| R-unisensR | 0.3.3-lp153.12.5 | Read \'Unisens\' Data |
| R-uniset | 0.3.1-lp153.1.10 | Dynamic Settings File |
| R-uniswappeR | 0.6.1-lp153.2.2 | Interact with the Uniswap Platform |
| R-UnitCircle | 0.1.3-lp153.2.13 | Check if Roots of a Polynomial Lie Outside the Unit Circle |
| R-unitedR | 0.4-lp153.3.7 | Assessment and Evaluation of Formations in United |
| R-unitizer | 1.4.21-lp153.2.2 | Interactive R Unit Tests |
| R-unitizer | 1.4.9-lp153.1.23 | Interactive R Unit Tests |
| R-unitizer | 1.4.9-1.40 | Interactive R Unit Tests |
| R-unitizer | 1.4.9-1.25 | Interactive R Unit Tests |
| R-units | 0.6.3-1.33 | Measurement Units for R Vectors |
| R-units | 0.6.3-lp155.1.5 | Measurement Units for R Vectors |
| R-units | 0.6.3-lp154.1.10 | Measurement Units for R Vectors |
| R-units | 0.6.3-1.56 | Measurement Units for R Vectors |
| R-units | 0.6.3-lp153.1.24 | Measurement Units for R Vectors |
| R-UnitStat | 1.1.0-lp153.1.12 | Performs Unit Root Test Statistics |
| R-univariateML | 1.1.1-lp153.6.7 | Maximum Likelihood Estimation for Univariate Densities |
| R-UniversalCVI | 1.1.2-lp153.2.2 | Hard and Soft Cluster Validity Indices |
| R-universals | 0.0.5-lp153.1.8 | S3 Generics for Bayesian Analyses |
| R-univOutl | 0.4-lp153.19.2 | Detection of Univariate Outliers |
| R-UnivRNG | 1.2.3-lp153.1.13 | Univariate Pseudo-Random Number Generation |
| R-unix | 1.5.1-lp155.1.5 | POSIX System Utilities |
| R-unix | 1.5.1-1.28 | POSIX System Utilities |
| R-unix | 1.5.1-lp154.1.10 | POSIX System Utilities |
| R-unix | 1.5.1-1.31 | POSIX System Utilities |
| R-unix | 1.5.1-lp153.1.23 | POSIX System Utilities |
| R-unjoin | 0.1.0-lp153.13.7 | Separate a Data Frame by Normalization |
| R-unnest | 0.0.5-lp153.1.4 | Unnest Hierarchical Data Structures |
| R-UNPaC | 1.1.1-lp153.7.4 | Non-Parametric Cluster Significance Testing with Reference t |
| R-unpivotr | 0.6.3-lp153.4.2 | Unpivot Complex and Irregular Data Layouts |
| R-unrepx | 1.0.2-lp153.1.8 | Analysis and Graphics for Unreplicated Experiments |
| R-unusualprofile | 0.1.4-lp153.1.4 | Calculates Conditional Mahalanobis Distances |
| R-unvotes | 0.3.0-lp153.1.13 | United Nations General Assembly Voting Data |
| R-updateme | 0.1.0-lp153.2.2 | Informative Messages About Outdated Packages |
| R-updater | 0.1.2-lp153.1.5 | Utilities for Updating R |
| R-UpDown | 1.2.1-lp153.5.2 | Detecting Group Disturbances from Longitudinal Observations |
| R-UPG | 0.3.4-lp153.2.2 | Efficient Bayesian Algorithms for Binary and Categorical Dat |
| R-uplift | 0.3.5-lp153.4.12 | Uplift Modeling |
| R-uplifteval | 0.1.0-lp153.10.11 | Uplift Model Evaluation with Plots and Metrics |
| R-UPMASK | 1.2-lp153.7.4 | Unsupervised Photometric Membership Assignment in Stellar Cl |
| R-upndown | 0.1.0-lp153.1.5 | Utilities and Design Aids for Up-and-Down Dose-Finding Studi |
| R-upsetjs | 1.11.1-lp153.13.2 | \'HTMLWidget\' Wrapper of \'UpSet.js\' for Exploring Large S |
| R-UpSetR | 1.4.0-lp153.14.7 | A More Scalable Alternative to Venn and Euler Diagrams for V |
| R-upstartr | 0.1.2-lp153.4.2 | Utilities Powering the Globe and Mail\'s Data Journalism Tem |
| R-UPSvarApprox | 0.1.4-lp153.1.5 | Approximate the Variance of the Horvitz-Thompson Total Estim |
| R-uptasticsearch | 0.4.0-lp153.8.2 | Get Data Frame Representations of \'Elasticsearch\' Results |
| R-uptimeRobot | 1.0.0-lp153.5.7 | Access the UptimeRobot Ping API |
| R-uqr | 1.0.0-lp153.4.12 | Unconditional Quantile Regression |
| R-urca | 1.3.0-1.30 | Unit root and cointegration tests for time series data |
| R-urca | 1.3.0-lp153.1.25 | Unit root and cointegration tests for time series data |
| R-urca | 1.3.0-lp155.1.5 | Unit root and cointegration tests for time series data |
| R-urca | 1.3.0-1.32 | Unit root and cointegration tests for time series data |
| R-urca | 1.3.4-lp153.2.2 | Unit root and cointegration tests for time series data |
| R-urca | 1.3.0-lp154.1.10 | Unit root and cointegration tests for time series data |
| R-urlchecker | 1.0.1-lp153.3.4 | Run CRAN URL Checks from Older R Versions |
| R-urlshorteneR | 1.5.7-lp153.10.2 | R Wrapper for the \'Bit.ly\' and \'Is.gd\'/\'v.gd\' URL Shor |
| R-urltools | 1.7.0-2.53 | Vectorised Tools for URL Handling and Parsing |
| R-urltools | 1.7.0-lp155.2.5 | Vectorised Tools for URL Handling and Parsing |
| R-urltools | 1.7.0-2.33 | Vectorised Tools for URL Handling and Parsing |
| R-urltools | 1.7.0-lp153.2.24 | Vectorised Tools for URL Handling and Parsing |
| R-urltools | 1.7.0-lp154.2.10 | Vectorised Tools for URL Handling and Parsing |
| R-uroot | 2.1.3-lp153.1.4 | Unit Root Tests for Seasonal Time Series |
| R-URooTab | 0.1.0-lp153.1.5 | Tabular Reporting of \'EViews\' Unit Root Tests |
| R-us.census.geoheader | 1.0.2-lp153.11.5 | US 2010 Census SF2 Geographic Header Summary Levels 010-050 |
| R-usa | 0.1.2-lp153.2.2 | Updated US State Facts and Figures |
| R-USA.state.boundaries | 1.0.1-lp153.1.7 | WGS84 Datum Map of the USA, Including Puerto Rico and the U. |
| R-USAboundaries | 0.4.0-lp153.1.12 | Historical and Contemporary Boundaries of the United States |
| R-UScancer | 0.1.2-lp153.2.13 | Create US cancer datasets from SEER, IARC, and US Census dat |
| R-UScensus2000cdp | 0.03-lp153.2.13 | US Census 2000 Designated Places Shapefiles and Additional D |
| R-UScensus2000tract | 0.03-lp153.2.13 | US Census 2000 Tract Level Shapefiles and Additional Demogra |
| R-UScensus2010 | 0.20.0-lp153.1.12 | US Census 2010 Suite of R Packages |
| R-uscoauditlog | 1.0.3-lp153.7.2 | United States Copyright Office Product Management Division S |
| R-usdampr | 1.0.1-lp153.13.2 | Request USDA MPR Historical Data via the \'LMR\' API |
| R-usdarnass | 0.1.0-lp153.13.5 | USDA NASS Quick Stats API |
| R-usdata | 0.3.1-lp153.2.2 | Data on the States and Counties of the United States |
| R-usdc | 0.1.0-lp153.1.12 | USDC and Centre Stablecoin Blockchain Data |
| R-usdm | 2.1.7-lp153.1.4 | Uncertainty Analysis for Species Distribution Models |
| R-usdoj | 1.1.0-lp153.1.5 | For Accessing U.S. Department of Justice (DOJ) Open Data |
| R-usedist | 0.4.0-lp153.2.13 | Distance Matrix Utilities |
| R-useful | 1.2.6.1-lp153.1.5 | A Collection of Handy, Useful Functions |
| R-usethat | 0.3.0-lp153.6.8 | Automate Analytic Project Setup and Development |
| R-usethis | 1.6.1-1.38 | Automate Package and Project Setup |
| R-usethis | 1.6.1-1.24 | Automate Package and Project Setup |
| R-usethis | 1.6.1-lp153.1.23 | Automate Package and Project Setup |
| R-usethis2 | 0.2.0-lp153.1.11 | Automate Analytic Project Setup and Development |
| R-USgas | 0.1.2-lp153.1.5 | The Demand for Natural Gas in the US |
| R-USgrid | 0.1.2-lp153.12.7 | The Demand and Supply for Electricity in the US |
| R-ushr | 0.2.3-lp153.17.2 | Understanding Suppression of HIV |
| R-usincometaxes | 0.4.0-lp153.1.9 | Calculate Federal and State Income Taxes in the United State |
| R-UsingR | 2.0.7-lp153.19.2 | Data Sets, Etc. for the Text \"Using R for Introductory Stat |
| R-uskewFactors | 2.0-lp153.4.11 | Model-Based Clustering via Mixtures of Unrestricted Skew-t S |
| R-usl | 3.0.3-lp153.1.8 | Analyze System Scalability with the Universal Scalability La |
| R-USP | 0.1.2-lp153.2.13 | U-Statistic Permutation Tests of Independence for all Data T |
| R-USpopcenters | 0.2.0-lp153.1.5 | United States Centers of Population (Centroids) |
| R-ussherR | 1.10-lp153.1.7 | Ussher Data Set Drawn from 1658 Chronology |
| R-UStatBookABSC | 1.0.0-lp153.2.13 | A Companion Package to the Book \"U-Statistics, M-Estimation |
| R-ustfd | 0.4.4-lp153.1.4 | API Client for US Treasury Fiscal Data |
| R-ustyc | 1.0.0-lp153.4.7 | Fetch US Treasury yield curve data. |
| R-utc | 0.1.5-lp153.2.13 | Coordinated Universal Time Transformations |
| R-utf8 | 1.1.4-1.38 | Unicode Text Processing |
| R-utf8 | 1.1.4-lp153.1.28 | Unicode Text Processing |
| R-utf8 | 1.1.4-1.36 | Unicode Text Processing |
| R-utf8 | 1.1.4-lp154.1.10 | Unicode Text Processing |
| R-utf8 | 1.2.4-lp153.1.5 | Unicode Text Processing |
| R-utf8 | 1.1.4-lp155.1.5 | Unicode Text Processing |
| R-utile.tables | 0.3.0-lp153.2.7 | Build Tables for Publication |
| R-utile.tools | 0.3.0-lp153.1.7 | Summarize Data for Publication |
| R-utile.visuals | 0.3.3-lp153.1.7 | Create Visuals for Publication |
| R-utilities | 0.6.1-lp153.1.8 | Data Utility Functions |
| R-utility | 1.4.6-lp153.1.5 | Construct, Evaluate and Plot Value and Utility Functions |
| R-utils | 4.4.1-192.1 | Package providing R-utils |
| R-utils | 4.4.1-50.1 | Package providing R-utils |
| R-utils | 4.4.1-lp153.192.1 | Package providing R-utils |
| R-utils | 4.4.1-56.163 | Package providing R-utils |
| R-utils | 4.4.1-50.0.2.1.sr20240605 | Package providing R-utils |
| R-utils | 4.4.1-56.163 | Package providing R-utils |
| R-utils | 4.4.1-lp154.192.1 | Package providing R-utils |
| R-utils | 4.4.1-194.138 | Package providing R-utils |
| R-utils | 4.4.1-50.1 | Package providing R-utils |
| R-utils | 4.4.1-50.1 | Package providing R-utils |
| R-utils | 4.4.1-194.138 | Package providing R-utils |
| R-utils | 4.4.1-lp155.192.1 | Package providing R-utils |
| R-utilsIPEA | 0.0.6-lp153.15.2 | IPEA Common Functions |
| R-utiml | 0.1.7-lp153.10.2 | Utilities for Multi-Label Learning |
| R-uuid | 0.1.2-lp155.1.5 | Tools for generating and handling of UUIDs |
| R-uuid | 0.1.2-lp154.1.10 | Tools for generating and handling of UUIDs |
| R-uuid | 0.1.2-lp153.1.23 | Tools for generating and handling of UUIDs |
| R-uuid | 0.1.2-1.30 | Tools for generating and handling of UUIDs |
| R-uuid | 0.1.2-1.34 | Tools for generating and handling of UUIDs |
| R-uwedragon | 0.1.0-lp153.1.11 | Data Research, Access, Governance Network : Statistical Disc |
| R-UWHAM | 1.1-lp153.1.9 | Unbinned Weighted Histogram Analysis Method (UWHAM) |
| R-uwo4419 | 0.3.0-lp153.25.5 | UWO POLSCI 4419/9715 |
| R-vacuum | 0.1.0-lp153.13.7 | Tukey\'s Vacuum Cleaner |
| R-vader | 0.2.1-lp153.4.4 | Valence Aware Dictionary and sEntiment Reasoner (VADER) |
| R-vaersNDvax | 1.0.4-lp153.2.13 | Non-Domestic Vaccine Adverse Event Reporting System (VAERS) |
| R-vaersvax | 1.0.5-lp153.2.13 | US Vaccine Adverse Event Reporting System (VAERS) Vaccine Da |
| R-vagalumeR | 0.1.6-lp153.17.2 | Access to the \'Vagalume\' API |
| R-valaddin | 1.0.2-lp153.1.5 | Functional Input Validation |
| R-valentine | 2024.2.14-lp153.1.4 | Spread the Love for R Packages with Poetry |
| R-valet | 0.9.0-lp153.5.5 | Provide R Client to the Bank of Canada\'s Valet API |
| R-validann | 1.2.1-lp153.2.13 | Validation Tools for Artificial Neural Networks |
| R-validate | 1.1.5-lp153.1.4 | Data Validation Infrastructure |
| R-validatedb | 0.1.4-lp153.7.7 | Validate Data in a Database using \'validate\' |
| R-validateIt | 1.2.1-lp153.2.4 | Validating Topic Coherence and Topic Labels |
| R-validateRS | 1.0.0-lp153.7.7 | One-Sided Multivariate Testing Procedures for Rating Systems |
| R-validatesuggest | 0.3.2-lp153.1.5 | Generate Suggestions for Validation Rules |
| R-validatetools | 0.5.2-lp153.1.5 | Checking and Simplifying Validation Rule Sets |
| R-VALIDICLUST | 0.1.0-lp153.3.7 | VALID Inference for Clusters Separation Testing |
| R-validmind | 0.1.1-lp153.2.2 | Interface to the \'ValidMind\' Platform |
| R-valmetrics | 1.0.0-lp153.1.12 | Metrics and Plots for Model Evaluation |
| R-valorate | 1.0.1-lp153.2.13 | Velocity and Accuracy of the LOg-RAnk TEst |
| R-valottery | 0.0.1-lp153.2.13 | Results from the Virginia Lottery Draw Games |
| R-valueSetCompare | 1.0.0-lp153.1.2 | Comparing HRQoL Instrument Value Sets |
| R-VAM | 1.1.0-lp153.1.4 | Variance-Adjusted Mahalanobis |
| R-vamc | 0.2.1-lp153.4.13 | A Monte Carlo Valuation Framework for Variable Annuities |
| R-vampyr | 1.1.1-lp153.8.10 | Factor Analysis Controlling the Effects of Response Bias |
| R-VancouvR | 0.1.8-lp153.2.2 | Access the \'City of Vancouver\' Open Data API |
| R-vangogh | 0.1.1-lp153.6.5 | A Vincent Van Gogh Color Palette Generator |
| R-vanquish | 1.0.0-lp153.15.5 | Variant Quality Investigation Helper |
| R-VAR.etp | 1.1-lp153.1.5 | VAR Modelling: Estimation, Testing, and Prediction |
| R-VAR.spec | 1.0-lp153.1.2 | Allows Specifying a Bivariate VAR (Vector Autoregression) wi |
| R-varbin | 0.2.1-lp153.2.13 | Optimal Binning of Continuous and Categorical Variables |
| R-VarBundle | 0.3.0-lp153.9.11 | Read-Only Variable Bundles |
| R-varclust | 0.9.4-lp153.3.7 | Variables Clustering |
| R-vardiag | 0.2.1-lp153.2.13 | Variogram Diagnostics |
| R-vardpoor | 0.20.1-lp153.7.2 | Variance Estimation for Sample Surveys by the Ultimate Clust |
| R-VarED | 1.0.0-lp153.2.13 | Variance Estimation using Difference-Based Methods |
| R-VaRES | 1.0.2-lp153.1.5 | Computes Value at Risk and Expected Shortfall for over 100 P |
| R-VarfromPDB | 2.2.10-lp153.7.7 | Disease-Gene-Variant Relations Mining from the Public Databa |
| R-varhandle | 2.0.6-lp153.1.5 | Functions for Robust Variable Handling |
| R-variability | 0.1.0-lp153.2.13 | Genetic Variability Analysis for Plant Breeding Research |
| R-variables | 1.1.1-lp153.1.12 | Variable Descriptions |
| R-VariableScreening | 0.2.1-lp153.2.7 | High-Dimensional Screening for Semiparametric Longitudinal R |
| R-VarianceGamma | 0.4.2-lp153.1.4 | The Variance Gamma Distribution |
| R-variantspark | 0.1.1-lp153.19.2 | A \'Sparklyr\' Extension for \'VariantSpark\' |
| R-variationalDCM | 2.0.1-lp153.2.2 | Variational Bayesian Estimation for Diagnostic Classificatio |
| R-varImp | 0.4-lp153.2.12 | RF Variable Importance for Arbitrary Measures |
| R-vaRiskScore | 1.0.0-lp153.1.7 | VA CVD Risk Score |
| R-varitas | 0.0.2-lp153.17.2 | Variant Calling in Targeted Analysis Sequencing Data |
| R-varjmcm | 0.1.1-lp153.4.7 | Estimations for the Covariance of Estimated Parameters in Jo |
| R-VARMER | 1.0.0-lp153.19.7 | Variational Merging |
| R-varoc | 0.2.0-lp153.1.4 | Value Added Receiver Operating Characteristics Curve |
| R-varrank | 0.5-lp153.1.8 | Heuristics Tools Based on Mutual Information for Variable Ra |
| R-VarRedOpt | 0.1.0-lp153.2.13 | A Framework for Variance Reduction |
| R-VarReg | 2.0-lp153.1.5 | Semi-Parametric Variance Regression |
| R-vars | 1.6.1-lp153.2.2 | VAR Modelling |
| R-VARSEDIG | 2.1-lp153.1.10 | An Algorithm for Morphometric Characters Selection and Stati |
| R-varSel | 0.2-lp153.1.13 | Sequential Forward Floating Selection using Jeffries-Matusit |
| R-varSelRF | 0.7.8-lp153.2.13 | Variable Selection Using Random Forests |
| R-varsExplore | 0.3.0-lp153.34.2 | Searchable Variable Explorer with Labelled Variables |
| R-VARshrink | 0.3.1-lp153.2.13 | Shrinkage Estimation Methods for Vector Autoregressive Model |
| R-VARsignR | 0.1.3-lp153.2.13 | Sign Restrictions, Bayesian, Vector Autoregression Models |
| R-VarSwapPrice | 1.0-lp153.2.13 | Pricing a variance swap on an equity index |
| R-varycoef | 0.3.4-lp153.9.2 | Modeling Spatially Varying Coefficients |
| R-vasicek | 0.0.3-lp153.2.12 | Miscellaneous Functions for Vasicek Distribution |
| R-vatcheckapi | 0.1.0-lp153.1.5 | Client for the \'vatcheckapi.com\' VAT Validation API |
| R-vaultr | 1.2.0-lp153.1.4 | Vault Client for Secrets and Sensitive Data |
| R-vaxpmx | 0.0.3-lp153.1.3 | Vaccines Pharmacometrics |
| R-vbdm | 0.0.4-lp153.2.13 | Variational Bayes Discrete Mixture Model |
| R-VBLPCM | 2.4.9-lp153.3.2 | Variational Bayes Latent Position Cluster Model for Networks |
| R-VBsparsePCA | 0.1.0-lp153.1.12 | The Variational Bayesian Method for Sparse PCA |
| R-vbsr | 0.0.5-lp153.2.13 | Variational Bayes Spike Regression Regularized Linear Models |
| R-VBTree | 0.1.1-lp153.1.4 | Vector Binary Tree to Make Your Data Management More Efficie |
| R-VBV | 0.6.2-lp153.1.7 | The Generalized Berlin Method for Time Series Decomposition |
| R-VC2copula | 0.1.5-lp153.1.4 | Extend the \'copula\' Package with Families and Models from |
| R-vccp | 0.1.1-lp153.2.7 | Vine Copula Change Point Detection in Multivariate Time Seri |
| R-vcd | 1.4.1-1.28 | Visualizing Categorical Data |
| R-vcd | 1.4.1-lp154.1.10 | Visualizing Categorical Data |
| R-vcd | 1.4.1-lp153.1.25 | Visualizing Categorical Data |
| R-vcd | 1.4.1-lp155.1.5 | Visualizing Categorical Data |
| R-vcd | 1.4.1-1.74 | Visualizing Categorical Data |
| R-vcdExtra | 0.6_0-2.24 | vcd extensions and additions |
| R-vcdExtra | 0.6_0-2.51 | vcd extensions and additions |
| R-vcdExtra | 0.6_0-lp155.2.2 | vcd extensions and additions |
| R-vcdExtra | 0.8.5-lp153.3.2 | \'vcd\' Extensions and Additions |
| R-vcdExtra | 0.6_0-lp153.2.23 | vcd extensions and additions |
| R-vcdExtra | 0.6_0-lp154.2.10 | vcd extensions and additions |
| R-vcov | 0.0.1-lp153.2.13 | Variance-Covariance Matrices and Standard Errors |
| R-vctrs | 0.6.5-lp153.1.4 | Vector Helpers |
| R-vctrs | 0.3.4-1.29 | Vector Helpers |
| R-vctrs | 0.3.4-lp155.1.5 | Vector Helpers |
| R-vctrs | 0.3.4-lp153.1.26 | Vector Helpers |
| R-vctrs | 0.3.4-lp154.1.10 | Vector Helpers |
| R-vctrs | 0.3.4-1.35 | Vector Helpers |
| R-vctsfr | 0.1.1-lp153.3.2 | Visualizing Collections of Time Series Forecasts |
| R-vcvComp | 1.0.2-lp153.2.12 | Comparison of Variance - Covariance Patterns |
| R-vdar | 0.1.3.2-lp153.2.7 | Discriminant Analysis Incorporating Individual Uncertainties |
| R-vdg | 1.2.3-lp153.2.2 | Variance Dispersion Graphs and Fraction of Design Space Plot |
| R-Vdgraph | 2.2.7-lp153.1.5 | Variance Dispersion Graphs and Fraction of Design Space Plot |
| R-VdgRsm | 1.5-lp153.2.13 | Plots of Scaled Prediction Variances for Response Surface De |
| R-VDJgermlines | 0.1-lp153.5.7 | Variable, Diversity and Joining Sequences from Various Speci |
| R-vdra | 1.0.0-lp153.1.12 | Vertical Distributed Regression Analysis |
| R-VDSM | 0.1.1-lp153.13.5 | Visualization of Distribution of Selected Model |
| R-VDSPCalibration | 1.0-lp153.2.13 | Statistical Methods for Designing and Analyzing a Calibratio |
| R-vec2dtransf | 1.1.3-lp153.1.5 | 2D Cartesian Coordinate Transformation |
| R-vecsets | 1.4-lp153.1.4 | Like Set Tools in \'Base\' Package but Keeps Duplicate Eleme |
| R-VecStatGraphs2D | 1.8-lp153.2.13 | Vector Analysis using Graphical and Analytical Methods in 2D |
| R-VecStatGraphs3D | 1.6-lp153.10.11 | Vector analysis using graphical and analytical methods in 3D |
| R-vectools | 0.3.0-lp153.1.12 | Advanced Vector Toolkit |
| R-vectorbitops | 1.1.2-lp153.1.4 | Vector Bitwise Operations |
| R-vectorwavelet | 0.1.0-lp153.9.5 | Vector Wavelet Coherence for Multiple Time Series |
| R-VedicDateTime | 0.1.9-lp153.1.5 | Vedic Calendar System |
| R-vegalite | 0.6.1-lp153.15.2 | Tools to Encode Visualizations with the \'Grammar of Graphic |
| R-vegan3d | 1.2.0-lp153.2.5 | Static and Dynamic 3D Plots for the \'vegan\' Package |
| R-vegawidget | 0.5.0-lp153.4.2 | \'Htmlwidget\' for \'Vega\' and \'Vega-Lite\' |
| R-vegclust | 2.0.2-lp153.1.8 | Fuzzy Clustering of Vegetation Data |
| R-vegdata | 0.9.12-lp153.1.4 | Access Vegetation Databases and Treat Taxonomy |
| R-vegetarian | 1.2-lp153.2.13 | Jost Diversity Measures for Community Data |
| R-vegperiod | 0.4.0-lp153.1.7 | Determine Thermal Vegetation Periods |
| R-vegtable | 0.1.8-lp153.8.2 | Handling Vegetation Data Sets |
| R-vek | 1.0.0-lp153.2.2 | Predicate Helper Functions for Testing Simple Atomic Vectors |
| R-vembedr | 0.1.5-lp153.9.2 | Embed Video in HTML |
| R-venn | 1.12-lp153.1.4 | Draw Venn Diagrams |
| R-VennDiagram | 1.7.3-lp153.1.10 | Generate High-Resolution Venn and Euler Plots |
| R-verbaliseR | 0.1-lp153.4.2 | Make your Text Mighty Fine |
| R-verhoeff | 0.4.0-lp153.1.13 | Implementation of the \'Verhoeff\' Check Digit Algorithm |
| R-verification | 1.40-lp153.1.23 | Weather Forecast Verification Utilities |
| R-verification | 1.40-1.24 | Weather Forecast Verification Utilities |
| R-verification | 1.42-lp153.11.5 | Weather Forecast Verification Utilities |
| R-verification | 1.40-1.38 | Weather Forecast Verification Utilities |
| R-vermeulen | 0.1.2-lp153.2.2 | Biomarker Data Set by Vermeulen et al. (2009) |
| R-versioning | 0.1.0-lp153.1.4 | Settings and File I/O using a Configuration YAML File |
| R-versions | 0.3-lp153.2.13 | Query and Install Specific Versions of Packages on CRAN |
| R-versionsort | 1.1.0-lp153.1.10 | Sort and Order Version Codes |
| R-versus | 0.3.0-lp153.1.4 | Compare Data Frames |
| R-vertexenum | 1.0.2-lp153.2.13 | Vertex Enumeration of Polytopes |
| R-VertexSimilarity | 0.1-lp153.7.4 | Creates Vertex Similarity Matrix for an Undirected Graph |
| R-VertexSort | 0.1.1-lp153.6.5 | Network Hierarchical Structure and Randomization |
| R-VertexWiseR | 1.0.0-lp153.1.2 | Simplified Vertex-Wise Analyses of Whole-Brain and Hippocamp |
| R-VertexWiseR | 1.0.0-lp155.1.1 | Simplified Vertex-Wise Analyses of Whole-Brain and Hippocamp |
| R-VertexWiseR | 1.0.0-lp154.1.1 | Simplified Vertex-Wise Analyses of Whole-Brain and Hippocamp |
| R-vesselr | 0.2.1-lp153.3.7 | Gradient and Vesselness Tools for Arrays and NIfTI Images |
| R-vetools | 1.3.28-lp153.5.10 | Tools for Venezuelan Environmental Data |
| R-VEwaning | 1.3-lp153.1.4 | Vaccine Efficacy Over Time |
| R-vfcp | 1.4.0-lp153.6.2 | Computation of v Values for U and Copula C(U, v) |
| R-vfinputs | 0.1.0-lp153.17.2 | Visual Filter Inputs for Shiny |
| R-vfprogression | 0.7.1-lp153.2.13 | Visual Field (VF) Progression Analysis and Plotting Methods |
| R-VFS | 1.0.2-lp153.3.13 | Vegetated Filter Strip and Erosion Model |
| R-VGAMextra | 0.0.6-lp153.1.4 | Additions and Extensions of the \'VGAM\' Package |
| R-VHDClassification | 0.3-lp153.3.13 | Discrimination/Classification in very high dimension with li |
| R-vhica | 0.2.8-lp153.1.5 | Vertical and Horizontal Inheritance Consistence Analysis |
| R-via | 0.2.0-lp153.1.5 | Virtual Arrays |
| R-vICC | 1.0.0-lp153.13.5 | Varying Intraclass Correlation Coefficients |
| R-VicmapR | 0.2.3-lp153.5.2 | Access Victorian Spatial Data Through Web File Services (WFS |
| R-Vicus | 0.99.0-lp153.1.5 | Exploiting Local Structures to Improve Network-Based Analysi |
| R-video | 0.1.1-lp153.6.2 | \'Shiny\' Extension of \'video.js\' |
| R-vietnamcode | 0.1.1-lp153.2.13 | Convert Vietnam Provincial Codes |
| R-ViewPipeSteps | 0.1.0-lp153.7.7 | Create View Tabs of Pipe Chains |
| R-VIF | 1.0-lp153.2.13 | VIF Regression: A Fast Regression Algorithm For Large Data |
| R-VIFCP | 1.2-lp153.2.13 | Detecting Change-Points via VIFCP Method |
| R-viking | 1.0.2-lp153.1.5 | State-Space Models Inference by Kalman or Viking |
| R-villager | 2.0.0-lp153.2.2 | A Framework for Designing and Running Agent Based Models |
| R-VIMean | 0.1.0-lp153.1.7 | Variability Independent of Mean |
| R-vimp | 2.3.3-lp153.1.5 | Perform Inference on Algorithm-Agnostic Variable Importance |
| R-vimpclust | 0.1.0-lp153.10.5 | Variable Importance in Clustering |
| R-vindecodr | 0.1.1-lp153.2.12 | Provides an Interface to the Department of Transportation VI |
| R-vines | 1.1.5-lp153.3.7 | Multivariate Dependence Modeling with Vines |
| R-violinmplot | 0.2.1-lp153.2.13 | Combination of violin plot with mean and standard deviation. |
| R-violinplotter | 3.0.1-lp153.1.8 | Plotting and Comparing Means with Violin Plots |
| R-viopoints | 0.2.1-lp153.2.13 | 1-D Scatter Plots with Jitter Using Kernel Density Estimates |
| R-vip | 0.4.1-lp153.2.4 | Variable Importance Plots |
| R-vipor | 0.4.7-lp153.1.4 | Plot Categorical Data Using Quasirandom Noise and Density Es |
| R-viridis | 0.6.5-lp153.1.4 | Colorblind-Friendly Color Maps for R |
| R-viridis | 0.5.1-1.33 | Default Color Maps from \'matplotlib\' |
| R-viridis | 0.5.1-1.28 | Default Color Maps from \'matplotlib\' |
| R-viridis | 0.5.1-lp153.1.25 | Default Color Maps from \'matplotlib\' |
| R-viridisLite | 0.3.0-lp155.1.5 | Default Color Maps from \'matplotlib\' (Lite Version) |
| R-viridisLite | 0.3.0-1.38 | Default Color Maps from \'matplotlib\' (Lite Version) |
| R-viridisLite | 0.3.0-lp154.1.10 | Default Color Maps from \'matplotlib\' (Lite Version) |
| R-viridisLite | 0.3.0-lp153.1.28 | Default Color Maps from \'matplotlib\' (Lite Version) |
| R-viridisLite | 0.3.0-1.30 | Default Color Maps from \'matplotlib\' (Lite Version) |
| R-viridisLite | 0.4.2-lp153.1.5 | Colorblind-Friendly Color Maps (Lite Version) |
| R-virtualPollen | 1.0.1-lp153.9.2 | Simulating Pollen Curves from Virtual Taxa with Different Li |
| R-virtualspecies | 1.6-lp153.2.4 | Generation of Virtual Species Distributions |
| R-virtuoso | 0.1.8-lp153.6.2 | Interface to \'Virtuoso\' using \'ODBC\' |
| R-viruslearner | 0.0.2-lp153.1.3 | Ensemble Learning for HIV-Related Metrics |
| R-virustotal | 0.2.2-lp153.2.7 | R Client for the VirusTotal API |
| R-visa | 0.1.0-lp153.21.2 | Vegetation Imaging Spectroscopy Analyzer |
| R-visachartR | 3.3.0-lp153.3.2 | Wrapper for \'Visa Chart Components\' |
| R-visae | 0.2.0-lp153.15.2 | Visualization of Adverse Events |
| R-visaOTR | 0.1.0-lp153.1.8 | Valid Improved Sparsity A-Learning for Optimal Treatment Dec |
| R-VisCollin | 0.1.2-lp153.1.5 | Visualizing Collinearity Diagnostics |
| R-visdat | 0.6.0-lp153.3.2 | Preliminary Visualisation of Data |
| R-ViSiElse | 1.2.2-lp153.14.2 | A Visual Tool for Behavior Analysis over Time |
| R-vismeteor | 1.8.5-lp153.1.4 | Analysis of Visual Meteor Data |
| R-visNetwork | 2.0.1-2.24 | Network Visualization using \'vis.js\' Library |
| R-visNetwork | 2.0.1-lp155.2.5 | Network Visualization using \'vis.js\' Library |
| R-visNetwork | 2.0.1-2.69 | Network Visualization using \'vis.js\' Library |
| R-visNetwork | 2.0.1-lp153.2.23 | Network Visualization using \'vis.js\' Library |
| R-visNetwork | 2.0.1-lp154.2.10 | Network Visualization using \'vis.js\' Library |
| R-visNetwork | 2.1.2-lp153.13.2 | Network Visualization using \'vis.js\' Library |
| R-visR | 0.3.1-lp153.9.5 | Clinical Graphs and Tables Adhering to Graphical Principles |
| R-visreg | 2.7.0-lp153.2.13 | Visualization of Regression Models |
| R-vistime | 1.2.4-lp153.6.2 | Pretty Timelines in R |
| R-visTree | 0.8.1-lp153.2.13 | Visualization of Subgroups for Decision Trees |
| R-vistributions | 0.1.2-lp153.7.5 | Visualize Probability Distributions |
| R-VisualDom | 0.8.0-lp153.2.2 | Visualize Dominant Variables in Wavelet Multiple Correlation |
| R-visualize | 4.5.0-lp153.1.4 | Graph Probability Distributions with User Supplied Parameter |
| R-Visualize.CRAN.Downloads | 1.0.3-lp153.9.2 | Visualize Downloads from \'CRAN\' Packages |
| R-VisualizeSimon2Stage | 0.1.5-lp153.1.2 | Visualize Simon\'s Two-Stage Design |
| R-vitae | 0.6.0-lp153.1.2 | Curriculum Vitae for R Markdown |
| R-vitality | 1.3-lp153.2.13 | Fitting Routines for the Vitality Family of Mortality Models |
| R-vivo | 0.2.1-lp153.14.5 | Variable Importance via Oscillations |
| R-vizdraws | 2.0.0-lp153.4.2 | Visualize Draws from the Prior and Posterior Distributions |
| R-vkR | 0.2-lp153.5.7 | Access to VK API via R |
| R-vlda | 1.1.5-lp153.17.3 | Visualization of Multidimensional Longitudinal Data |
| R-VLF | 1.1-lp153.1.8 | Frequency Matrix Approach for Assessing Very Low Frequency V |
| R-VLMCX | 1.0-lp153.1.4 | Variable Length Markov Chain with Exogenous Covariates |
| R-VLTimeCausality | 0.1.5-lp153.2.2 | Variable-Lag Time Series Causality Inference Framework |
| R-vmd | 0.1.0-lp153.9.11 | Variational Mode Decomposition |
| R-vmr | 0.0.6-lp153.1.5 | Virtual Machines for R |
| R-vntrs | 0.1.1-lp153.1.4 | Variable Neighborhood Trust Region Search |
| R-vocaldia | 0.8.4-lp153.1.8 | Create and Manipulate Vocalisation Diagrams |
| R-voi | 1.0.2-lp153.4.3 | Expected Value of Information |
| R-voice | 0.4.21-lp153.1.5 | Tools for Voice Analysis, Speaker Recognition and Mood Infer |
| R-volatilityTrader | 1.0.1-lp153.3.7 | High Volatility Environment Option Trading Strategies Graphs |
| R-volcano3D | 1.2.0-lp153.14.8 | Interactive Plotting of Three-Way Differential Expression An |
| R-volcanoPlot | 1.0.0-lp153.7.2 | Volcano Plot for Clinical Trial Adverse Events |
| R-volleystat | 0.2.0-lp153.2.13 | Detailed Statistics on Volleyball Matches |
| R-voluModel | 0.2.1-lp153.1.4 | Modeling Species Distributions in Three Dimensions |
| R-voronoiTreemap | 0.2.0-lp153.18.2 | Voronoi Treemaps with Added Interactivity by Shiny |
| R-VorteksExport | 0.1.8-lp153.1.13 | Export Dataframes to \'Vorteks\' Software |
| R-vortexRdata | 1.0.5-lp153.2.13 | Example Data for R Package \'vortexR\' |
| R-voson.tcn | 0.5.0-lp153.9.2 | Twitter Conversation Networks and Analysis |
| R-VOSONDash | 0.5.7-lp153.25.2 | User Interface for Collecting and Analysing Social Networks |
| R-vosonSML | 0.32.7-lp153.9.2 | Collecting Social Media Data and Generating Networks for Ana |
| R-Voss | 0.1.5-lp153.8.5 | Generic Voss Algorithm (Random Sequential Additions) |
| R-vote | 2.4.3-lp153.4.2 | Election Vote Counting |
| R-voteogram | 0.3.2-lp153.1.5 | United States House and Senate Voting Cartogram Generators |
| R-voteSim | 0.1.1-lp153.1.4 | Generate Simulated Data for Voting Rules using Evaluations |
| R-votesmart | 0.1.2-lp153.2.2 | Wrapper for the Project \'VoteSmart\' API |
| R-votesys | 0.1.1-lp153.2.13 | Voting Systems, Instant-Runoff Voting, Borda Method, Various |
| R-vottrans | 1.0-lp153.2.13 | Voter Transition Analysis |
| R-vov | 0.1.2-lp153.15.2 | CSS Animations for \'shiny\' Elements |
| R-vowels | 1.2.2-lp153.2.13 | Vowel Manipulation, Normalization, and Plotting |
| R-vows | 0.5-lp153.12.11 | Voxelwise Semiparametrics |
| R-vpc | 1.2.2-lp153.16.2 | Create Visual Predictive Checks |
| R-vrcp | 0.1.1-lp153.14.5 | Change Point Estimation for Regression with Varying Segments |
| R-vrmlgen | 1.4.9-lp153.2.13 | Generate 3D visualizations for data exploration on the web |
| R-vrnmf | 1.0.2-lp153.2.7 | Volume-Regularized Structured Matrix Factorization |
| R-vrtest | 1.2-lp153.1.5 | Variance Ratio Tests and Other Tests for Martingale Differen |
| R-vscc | 0.6-lp153.1.5 | Variable Selection for Clustering and Classification |
| R-vsd | 0.1.0-lp153.8.10 | Graphical Shim for Visual Survival Data Analysis |
| R-VSdecomp | 0.1.1-lp153.19.4 | Variance and Skewness Decomposition |
| R-vsp | 0.1.1-lp153.2.7 | Vintage Sparse PCA for Semi-Parametric Factor Analysis |
| R-vstdct | 0.2-lp153.1.5 | Nonparametric Estimation of Toeplitz Covariance Matrices |
| R-vstsr | 1.1.0-lp153.2.8 | Access to \'Azure DevOps\' API via R |
| R-VSURF | 1.2.0-lp153.2.7 | Variable Selection Using Random Forests |
| R-vtable | 1.4.6-lp153.6.2 | Variable Table for Variable Documentation |
| R-VTrack | 1.21-lp153.8.12 | A Collection of Tools for the Analysis of Remote Acoustic Te |
| R-vtreat | 1.6.5-lp153.1.2 | A Statistically Sound \'data.frame\' Processor/Conditioner |
| R-VTShiny | 0.1.0-lp153.24.2 | Interactive Document for Working with Variance Analysis |
| R-vtype | 0.8-lp153.1.12 | Estimates the Variable Type in Error Afflicted Data |
| R-vudc | 1.1-lp153.2.13 | Visualization of Univariate Data for Comparison |
| R-vueR | 0.6.0-lp153.7.2 | \'Vuejs\' Helpers and \'Htmlwidget\' |
| R-VulnToolkit | 1.1.4-lp153.2.7 | Analysis of Tidal Datasets |
| R-vvcanvas | 0.0.4-lp153.2.2 | \'Canvas\' LMS API Integration |
| R-vvconverter | 0.5.10-lp153.1.2 | Apply Transformations to Data |
| R-vvfiller | 0.6.7-lp153.2.7 | Fill Data Points |
| R-vvmover | 1.6.0-lp153.1.3 | Read and Write Data |
| R-vvsculptor | 0.4.10-lp153.1.7 | Apply Manipulations to Data Frames |
| R-vvtermtime | 0.0.1-lp153.1.5 | Interface for \'Semestry TermTime\' Services |
| R-VWPre | 1.2.4-lp153.20.2 | Tools for Preprocessing Visual World Data |
| R-vwr | 0.3.0-lp153.3.12 | Useful functions for visual word recognition research |
| R-W2CWM2C | 2.2-lp153.2.2 | A Graphical Tool for Wavelet (Cross) Correlation and Wavelet |
| R-W3CMarkupValidator | 0.1.7-lp153.2.4 | R Interface to W3C Markup Validation Services |
| R-W4MRUtils | 1.0.0-lp153.1.5 | Utils List for W4M - Workflow for Metabolomics |
| R-WA | 1.0-lp153.1.11 | While-Alive Loss Rate for Recurrent Event in the Presence of |
| R-waccR | 0.1.0-lp153.10.11 | Cost of Capital by Sector Data |
| R-wacolors | 0.3.1-lp153.6.5 | Colorblind-Friendly Palettes from Washington State |
| R-WACS | 1.1.0-lp153.3.9 | Multivariate Weather-State Approach Conditionally Skew-Norma |
| R-wactor | 0.0.1-lp153.11.7 | Word Factor Vectors |
| R-waffle | 1.0.2-lp153.6.2 | Create Waffle Chart Visualizations |
| R-wahc | 1.0-lp153.2.13 | Autocorrelation and Heteroskedasticity Correction in Fixed E |
| R-waiter | 0.2.5-lp153.9.2 | Loading Screen for \'Shiny\' |
| R-wakefield | 0.3.6-lp153.17.2 | Generate Random Data Sets |
| R-waldo | 0.2.2-1.24 | Find Differences Between R Objects |
| R-waldo | 0.2.2-1.27 | Find Differences Between R Objects |
| R-waldo | 0.2.2-lp153.1.23 | Find Differences Between R Objects |
| R-walkboutr | 0.6.0-lp153.3.2 | Generate Walk Bouts from GPS and Accelerometry Data |
| R-walkscore | 0.1.2-lp153.2.2 | A Tidy Interface to the \'Walk Score\' API |
| R-walkscoreAPI | 1.2-lp153.2.13 | Walk Score and Transit Score API |
| R-wallace | 2.0.5-lp153.2.5 | A Modular Platform for Reproducible Modeling of Species Nich |
| R-WallomicsData | 1.0-lp153.1.10 | Datasets for Multi-Omics Integration in a Plant Abiotic Stre |
| R-wally | 1.0.10-lp153.33.3 | The Wally Calibration Plot for Risk Prediction Models |
| R-walmartAPI | 0.1.5-lp153.17.2 | Walmart Open API Wrapper |
| R-WaMaSim | 1.0.0-lp153.2.13 | Simulate Rehabilitation Strategies for Water Distribution Sy |
| R-wand | 0.5.0-lp153.2.13 | Retrieve \'Magic\' Attributes from Files and Directories |
| R-WARN | 1.2.4-lp153.2.13 | Weaning Age Reconstruction with Nitrogen Isotope Analysis |
| R-warp | 0.2.1-lp153.1.4 | Group Dates |
| R-washdata | 0.1.4-lp153.2.2 | Urban Water and Sanitation Survey Dataset |
| R-washeR | 0.1.3-lp153.1.8 | Time Series Outlier Detection |
| R-washex | 1.2.0-lp153.9.7 | Washington State Legislative Explorer |
| R-waspasR | 0.1.5-lp153.1.5 | Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria De |
| R-water | 0.8-lp153.2.13 | Actual Evapotranspiration with Energy Balance Models |
| R-waterData | 1.0.8-lp153.18.4 | Retrieval, Analysis, and Anomaly Calculation of Daily Hydrol |
| R-waterfall | 1.0.2-lp153.2.13 | Waterfall Charts |
| R-waterfalls | 1.0.0-lp153.2.5 | Create Waterfall Charts using \'ggplot2\' Simply |
| R-WaterML | 1.9.8-lp153.1.12 | Fetch and Analyze Data from \'WaterML\' and \'WaterOneFlow\' |
| R-Watersheds | 1.1-lp153.2.13 | Spatial Watershed Aggregation and Spatial Drainage Network A |
| R-waterYearType | 1.0.1-lp153.2.13 | Sacramento and San Joaquin Valley Water Year Types |
| R-Wats | 1.0.1-lp153.1.5 | Wrap Around Time Series Graphics |
| R-waveband | 4.7.3-lp153.2.2 | Computes Credible Intervals for Bayesian Wavelet Shrinkage |
| R-waved | 1.3-lp153.1.4 | Wavelet Deconvolution |
| R-waveformlidar | 1.2.0-lp153.4.12 | Waveform LiDAR Data Processing and Analysis |
| R-wavefunction | 1.0.0-lp153.2.13 | Wave Function Representation of Real Distributions |
| R-WaveletComp | 1.1-lp153.2.13 | Computational Wavelet Analysis |
| R-WaveletML | 0.1.0-lp153.4.3 | Wavelet Decomposition Based Hybrid Machine Learning Models |
| R-WaveletMLbestFL | 0.1.0-lp153.2.3 | The Best Wavelet Filter-Level for Prepared Wavelet-Based Mod |
| R-wavelets | 0.3.0.2-lp153.2.13 | Functions for Computing Wavelet Filters, Wavelet Transforms |
| R-wavemulcor | 3.1.2-lp153.2.2 | Wavelet Routines for Global and Local Multiple Regression an |
| R-WaverideR | 0.3.2-lp153.6.2 | Extracting Signals from Wavelet Spectra |
| R-WaverR | 1.0-lp153.8.2 | Data Estimation using Weighted Averages of Multiple Regressi |
| R-waveslim | 1.8.5-lp153.1.2 | Basic Wavelet Routines for One-, Two-, and Three-Dimensional |
| R-wavScalogram | 1.1.3-lp153.2.2 | Wavelet Scalogram Tools for Time Series Analysis |
| R-wayback | 0.2.4-lp153.3.12 | Rock Solid Package Installation for Legacy R Versions |
| R-waydown | 1.1.0-lp153.1.13 | Computation of Approximate Potentials for Weakly Non-Gradien |
| R-WayFindR | 0.1.2-lp153.2.2 | Computing Graph Structures on WikiPathways |
| R-wBoot | 1.0.3-lp153.2.13 | Bootstrap Methods |
| R-wbs | 1.4-lp153.2.13 | Wild Binary Segmentation for Multiple Change-Point Detection |
| R-wbstats | 1.0.4-lp153.19.2 | Programmatic Access to Data and Statistics from the World Ba |
| R-wcde | 0.0.7-lp153.1.4 | Download Data from the Wittgenstein Centre Human Capital Dat |
| R-WCE | 1.0.3-lp153.1.4 | Weighted Cumulative Exposure Models |
| R-wcep | 1.0.2-lp153.2.2 | Survival Analysis for Weighted Composite Endpoints |
| R-WCluster | 1.1.0-lp153.1.5 | Clustering and PCA with Weights, and Data Nuggets Clustering |
| R-WCM | 0.2.2-lp153.6.4 | Water Cloud Model (WCM) for the Simulation of Leaf Area Inde |
| R-Wcompo | 1.0-lp153.1.11 | Semiparametric Proportional Means Regression of Weighted Com |
| R-wcox | 1.0-lp153.2.2 | Weights to Correct for Outcome Dependent Sampling in Time to |
| R-WCQ | 0.2-lp153.2.13 | Detection of QTL effects in a small mapping population |
| R-WDI | 2.7.8-lp153.1.8 | World Development Indicators and Other World Bank Data |
| R-wdman | 0.2.6-lp153.2.4 | \'Webdriver\'/\'Selenium\' Binary Manager |
| R-wdnr.gis | 0.1.5-lp153.4.2 | Pull Spatial Layers from \'WDNR ArcGIS REST API\' |
| R-weaana | 0.1.1-lp153.11.2 | Analysis the Weather Data |
| R-weakARMA | 1.0.3-lp153.1.10 | Tools for the Analysis of Weak ARMA Models |
| R-weathercan | 0.6.2-lp153.1.11 | Download Weather Data from Environment and Climate Change Ca |
| R-weatherindices | 0.1.0-lp153.1.5 | Calculate Weather Indices |
| R-weathermetrics | 1.2.2-lp153.2.13 | Functions to Convert Between Weather Metrics |
| R-weatherr | 0.1.3-lp153.12.11 | Tools for Handling and Scraping Instant Weather Forecast Fee |
| R-WebAnalytics | 0.9.2-lp153.1.10 | Web Server Log Analysis |
| R-webchem | 1.3.0-lp153.2.4 | Chemical Information from the Web |
| R-webdeveloper | 1.0.5-lp153.6.2 | Functions for Web Development |
| R-webdriver | 1.0.6-lp153.2.12 | \'WebDriver\' Client for \'PhantomJS\' |
| R-webex | 0.9.2-lp153.2.12 | Create Interactive Web Exercises in \'R Markdown\' |
| R-webexercises | 1.1.0-lp153.7.2 | Create Interactive Web Exercises in \'R Markdown\' (Formerly |
| R-webmap | 1.1.0-lp153.2.2 | Create Interactive Web Maps Using \'The National Map\' Servi |
| R-webmorphR | 0.1.1-lp153.12.5 | Reproducible Stimuli |
| R-webSDM | 1.1.4-lp153.4.4 | Including Known Interactions in Species Distribution Models |
| R-websearchr | 0.0.3-lp153.2.13 | Access Domains and Search Popular Websites |
| R-webshot | 0.5.5-lp153.1.5 | Take Screenshots of Web Pages |
| R-webshot | 0.5.0-lp154.2.10 | Take Screenshots of Web Pages |
| R-webshot | 0.5.0-2.48 | Take Screenshots of Web Pages |
| R-webshot | 0.5.0-2.24 | Take Screenshots of Web Pages |
| R-webshot | 0.5.0-lp155.2.5 | Take Screenshots of Web Pages |
| R-webshot | 0.5.0-lp153.2.23 | Take Screenshots of Web Pages |
| R-webshot2 | 0.1.1-lp153.1.5 | Take Screenshots of Web Pages |
| R-webtools | 0.7.12-lp153.1.8 | Various Useful Web Tools (Including Full CRAN Dataset Search |
| R-webuse | 0.1.3-lp153.15.5 | Import Stata \'webuse\' Datasets |
| R-wec | 0.4.1-lp153.13.7 | Weighted Effect Coding |
| R-weco | 1.2-lp153.2.13 | Western Electric Company Rules (WECO) for Shewhart Control C |
| R-WEE | 1.0-lp153.4.11 | Weighted Estimated Equation (WEE) Approaches in Genetic Case |
| R-WEGE | 0.1.0-lp153.7.4 | A Metric to Rank Locations for Biodiversity Conservation |
| R-weibull4 | 1.0.0-lp153.1.13 | Fits Data into 4-Parameters Weibull Distribution |
| R-weibullness | 1.24.1-lp153.1.4 | Goodness-of-Fit Test for Weibull Distribution (Weibullness) |
| R-WeibullR.ALT | 0.7.2-lp153.2.7 | Accelerated Life Testing Using \'WeibullR\' |
| R-Weighted.Desc.Stat | 1.0-lp153.2.13 | Weighted Descriptive Statistics |
| R-weightedCL | 0.5-lp153.3.5 | Efficient and Feasible Inference for High-Dimensional Normal |
| R-WeightedEnsemble | 0.1.0-lp153.1.5 | Weighted Ensemble for Hybrid Model |
| R-weightedGCM | 0.1.0-lp153.1.11 | Weighted Generalised Covariance Measure Conditional Independ |
| R-weightedKmeans | 1.2.0-lp155.3.5 | Weighted KMeans Clustering |
| R-weightedKmeans | 1.2.0-lp153.3.23 | Weighted KMeans Clustering |
| R-weightedKmeans | 1.2.0-3.30 | Weighted KMeans Clustering |
| R-weightedKmeans | 1.2.0-lp154.3.10 | Weighted KMeans Clustering |
| R-weightedKmeans | 1.2.0-3.39 | Weighted KMeans Clustering |
| R-WeightedPortTest | 1.1-lp153.1.5 | Weighted Portmanteau Tests for Time Series Goodness-of-Fit |
| R-WeightedROC | 2020.1.31-lp153.2.13 | Fast, Weighted ROC Curves |
| R-weightedScores | 0.9.5.3-lp153.2.13 | Weighted Scores Method for Regression Models with Dependent |
| R-weightedZdiff | 0.1.0-lp153.2.13 | Calculation of z-Differences |
| R-weightQuant | 1.0.1-lp153.5.2 | Weights for Incomplete Longitudinal Data and Quantile Regres |
| R-weightr | 2.0.2-lp153.14.5 | Estimating Weight-Function Models for Publication Bias |
| R-weirs | 0.25-lp153.2.13 | A Hydraulics Package to Compute Open-Channel Flow over Weirs |
| R-wesanderson | 0.3.7-lp153.1.4 | A Wes Anderson Palette Generator |
| R-wevid | 0.6.2-lp153.15.2 | Quantifying Performance of a Binary Classifier Through Weigh |
| R-wfg | 0.1-lp153.7.4 | Weighted Fast Greedy Algorithm |
| R-wfindr | 0.1.0-lp153.13.7 | Crossword, Scrabble and Anagram Solver |
| R-wflo | 1.8-lp153.2.5 | Data Set and Helper Functions for Wind Farm Layout Optimizat |
| R-WGScan | 0.1-lp153.4.7 | A Genome-Wide Scan Statistic Framework for Whole-Genome Sequ |
| R-WgtEff | 0.1.2-lp153.2.13 | Functions for Weighting Effects |
| R-WhatIf | 1.5.10-lp153.2.13 | Software for Evaluating Counterfactuals |
| R-whatr | 1.0.1-lp153.5.13 | Scrape and Analyze the J! Archive |
| R-whatthreewords | 0.1.3-lp153.1.5 | Work with the \'what3words\' API for Easy Location Referenci |
| R-wheatmap | 0.2.0-lp153.1.11 | Incrementally Build Complex Plots using Natural Semantics |
| R-whereami | 0.2.0-lp153.2.7 | Reliably Return the Source and Call Location of a Command |
| R-whereport | 0.1-lp153.13.7 | Geolocalization of IATA Codes |
| R-whisker | 0.3_2-lp155.1.5 | {{mustache}} for R, logicless templating |
| R-whisker | 0.4.1-lp153.2.7 | {{mustache}} for R, logicless templating |
| R-whisker | 0.3_2-lp154.1.10 | {{mustache}} for R, logicless templating |
| R-whisker | 0.3_2-1.38 | {{mustache}} for R, logicless templating |
| R-whisker | 0.3_2-lp153.1.27 | {{mustache}} for R, logicless templating |
| R-whisker | 0.3_2-1.30 | {{mustache}} for R, logicless templating |
| R-whitebox | 2.4.0-lp153.2.2 | \'WhiteboxTools\' R Frontend |
| R-whitechapelR | 0.3.0-lp153.8.4 | Advanced Policing Techniques for the Board Game \"Letters fr |
| R-whitening | 1.4.0-lp153.1.9 | Whitening and High-Dimensional Canonical Correlation Analysi |
| R-whitestrap | 0.0.1-lp153.2.13 | White Test and Bootstrapped White Test for Heteroskedasticit |
| R-WhiteStripe | 2.4.3-lp153.2.2 | White Matter Normalization for Magnetic Resonance Images |
| R-whitewater | 0.1.3-lp153.3.2 | Parallel Processing Options for Package \'dataRetrieval\' |
| R-whoami | 1.1.2-lp155.2.5 | Username, Full Name, Email Address, \'GitHub\' Username of t |
| R-whoami | 1.3.0-lp153.2.12 | Username, Full Name, Email Address, \'GitHub\' Username of t |
| R-whoami | 1.1.2-lp153.2.24 | Username, Full Name, Email Address, \'GitHub\' Username of t |
| R-whoami | 1.1.2-2.47 | Username, Full Name, Email Address, \'GitHub\' Username of t |
| R-whoami | 1.1.2-2.25 | Username, Full Name, Email Address, \'GitHub\' Username of t |
| R-whoami | 1.1.2-lp154.2.10 | Username, Full Name, Email Address, \'GitHub\' Username of t |
| R-whoapi | 0.1.2-lp153.1.13 | A \'Whoapi\' API Client |
| R-whomds | 1.1.1-lp153.4.2 | Calculate Results from WHO Model Disability Survey Data |
| R-whSample | 0.9.6.2-lp153.10.2 | Utilities for Sampling |
| R-wiad | 0.0.1.0-lp153.18.4 | Wood Image Analysis and Dataset |
| R-widals | 0.6.1-lp153.2.13 | Weighting by Inverse Distance with Adaptive Least Squares |
| R-widgetframe | 0.3.1-lp153.15.2 | \'Htmlwidgets\' in Responsive \'iframes\' |
| R-widgetTools | 1.56.0-1.24 | Creates an interactive tcltk widget |
| R-widgetTools | 1.56.0-lp153.1.23 | Creates an interactive tcltk widget |
| R-widgetTools | 1.56.0-lp155.1.5 | Creates an interactive tcltk widget |
| R-widgetTools | 1.56.0-lp154.1.10 | Creates an interactive tcltk widget |
| R-widgetTools | 1.56.0-1.38 | Creates an interactive tcltk widget |
| R-widyr | 0.1.5-lp153.9.2 | Widen, Process, then Re-Tidy Data |
| R-WienR | 0.3.15-lp153.1.4 | Derivatives of the First-Passage Time Density and Cumulative |
| R-wig | 0.1.0-lp153.10.2 | Import WIG Data into R in Long Format |
| R-wikibooks | 0.2.1-lp153.1.9 | Functions and datasets of the german WikiBook \"GNU R\" |
| R-WikidataQueryServiceR | 1.0.0-lp153.11.2 | API Client Library for \'Wikidata Query Service\' |
| R-WikidataR | 2.3.3-lp153.20.2 | Read-Write API Client Library for Wikidata |
| R-wikifacts | 0.4.2-lp153.7.4 | Get Facts and Data from Wikipedia and Wikidata |
| R-wikilake | 0.7.0-lp153.6.2 | Scrape Lake Metadata Tables from Wikipedia |
| R-WikipediaR | 1.1-lp153.3.12 | R-Based Wikipedia Client |
| R-wikipediatrend | 2.1.6-lp153.10.7 | Public Subject Attention via Wikipedia Page View Statistics |
| R-WikipediR | 1.7.1-lp153.2.2 | A MediaWiki API Wrapper |
| R-wikisourcer | 0.1.5-lp153.1.13 | Download Public Domain Works from Wikisource |
| R-wikitaxa | 0.4.0-lp153.20.3 | Taxonomic Information from \'Wikipedia\' |
| R-WilcoxCV | 1.0.2-lp153.2.13 | Wilcoxon-based variable selection in cross-validation |
| R-wilcoxmed | 0.0.1-lp153.1.13 | Computes Values for the 1-Sample Wilcoxon Sign Rank Test for |
| R-wildcard | 1.1.0-lp153.6.2 | Templates for Data Frames |
| R-wildlifeDI | 1.0.0-lp153.1.2 | Calculate Indices of Dynamic Interaction for Wildlife Tracki |
| R-wildpoker | 1.1-lp153.2.13 | Best Hand Analysis for Poker Variants Including Wildcards |
| R-wildrwolf | 0.6.1-lp153.3.3 | Fast Computation of Romano-Wolf Corrected p-Values for Linea |
| R-wildviz | 0.1.2-lp153.13.4 | Compiles and Visualizes Wildfire, Climate, and Air Quality D |
| R-winch | 0.1.1-lp153.1.4 | Portable Native and Joint Stack Traces |
| R-windex | 2.0.8-lp155.3.1 | Analysing Convergent Evolution using the Wheatsheaf Index |
| R-windex | 2.0.8-lp154.3.1 | Analysing Convergent Evolution using the Wheatsheaf Index |
| R-windex | 2.0.8-lp153.3.2 | Analysing Convergent Evolution using the Wheatsheaf Index |
| R-windsoraiR | 0.1.2-lp153.1.12 | Access the \'Windsor.ai\' API |
| R-wingui | 0.2-lp153.3.7 | Advanced Windows Functions |
| R-winRatioAnalysis | 0.1.0-lp153.2.13 | Estimates the Win-Ratio as a Function of Time |
| R-wiqid | 0.3.3-lp153.1.7 | Quick and Dirty Estimates for Wildlife Populations |
| R-wISAM | 0.2.8-lp153.2.13 | Weighted Inbred Strain Association Mapping |
| R-WiSEBoot | 1.4.0-lp153.2.13 | Wild Scale-Enhanced Bootstrap |
| R-withdots | 0.1.1-lp153.1.5 | Put ... in a Function\'s Argument List |
| R-withr | 2.1.2-lp155.1.5 | Run Code \'With\' Temporarily Modified Global State |
| R-withr | 2.1.2-1.38 | Run Code \'With\' Temporarily Modified Global State |
| R-withr | 2.1.2-1.30 | Run Code \'With\' Temporarily Modified Global State |
| R-withr | 2.1.2-lp153.1.28 | Run Code \'With\' Temporarily Modified Global State |
| R-withr | 2.1.2-lp154.1.10 | Run Code \'With\' Temporarily Modified Global State |
| R-wkb | 0.4.0-lp153.2.13 | Convert Between Spatial Objects and Well-Known Binary Geomet |
| R-wkNNMI | 1.0.0-lp153.2.13 | A Mutual Information-Weighted k-NN Imputation Algorithm |
| R-wktmo | 1.0.5-lp153.2.13 | Converting Weekly Data to Monthly Data |
| R-WLasso | 1.0-lp153.9.8 | Variable Selection for Highly Correlated Predictors |
| R-WLinfer | 1.1.0-lp153.3.10 | Statistical Inference in Weighted Lindley Distribution |
| R-WLreg | 1.0.0.1-lp153.1.5 | Regression Analysis Based on Win Loss Endpoints |
| R-WMDB | 1.0-lp153.2.13 | Discriminant Analysis Methods by Weight Mahalanobis Distance |
| R-wmlf | 0.1.2-lp153.2.13 | Wavelet Leaders in Multifractal Analysis |
| R-wmm | 1.1.1-lp153.1.12 | World Magnetic Model |
| R-wmwpow | 0.1.3-lp153.5.7 | Precise and Accurate Power of the Wilcoxon-Mann-Whitney Rank |
| R-WMWssp | 0.4.0-lp153.2.13 | Wilcoxon-Mann-Whitney Sample Size Planning |
| R-wnl | 0.8.1-lp153.2.2 | Minimization Tool for Pharmacokinetic-Pharmacodynamic Data A |
| R-wNNSel | 0.1-lp153.2.13 | Weighted Nearest Neighbor Imputation of Missing Values using |
| R-wnominate | 1.5-lp153.1.2 | Roll Call Analysis Software |
| R-wodds | 0.1.0-lp153.7.7 | Calculates Whisker Odds |
| R-woe | 0.2-lp153.2.13 | Computes Weight of Evidence and Information Values |
| R-woeBinning | 0.1.6-lp153.2.13 | Supervised Weight of Evidence Binning of Numeric Variables a |
| R-WoodburyMatrix | 0.0.3-lp153.1.5 | Fast Matrix Operations via the Woodbury Matrix Identity |
| R-woodendesc | 0.1.0-lp153.1.5 | Find Packages and Their Dependencies in Any \'R\' Repository |
| R-WoodSimulatR | 0.6.1-lp153.2.2 | Generate Simulated Sawn Timber Strength Grading Data |
| R-wooldridge | 1.4.3-lp153.1.5 | 115 Data Sets from \"Introductory Econometrics: A Modern App |
| R-word.alignment | 1.1-lp153.7.2 | Computing Word Alignment Using IBM Model 1 (and Symmetrizati |
| R-wordcloud2 | 0.2.1-lp153.15.2 | Create Word Cloud by \'htmlwidget\' |
| R-wordgraph | 0.1.0-lp153.19.7 | Graph Functionality of Free Associated Words |
| R-wordler | 0.3.1-lp153.1.11 | The \'WORDLE\' Game |
| R-wordmatch | 1.0-lp153.4.10 | Matches words in one file with words in another file |
| R-WordOfMouth | 1.1.0-lp153.8.2 | Estimates Economic Variables for Word-of-Mouth-Campaigns |
| R-wordpiece | 2.1.3-lp153.5.2 | R Implementation of Wordpiece Tokenization |
| R-wordpiece.data | 2.0.0-lp153.1.11 | Data for Wordpiece-Style Tokenization |
| R-WordPools | 1.2.0-lp153.1.5 | Word Pools Used in Studies of Learning and Memory |
| R-wordpressr | 0.2.3-lp153.1.12 | An API Wrapper for WordPress Site APIs |
| R-wordPuzzleR | 0.1.1-lp153.2.2 | Word Puzzle Game |
| R-words | 1.0.1-lp153.1.12 | List of English Words from the Scrabble Dictionary |
| R-wordsalad | 0.2.0-lp153.9.8 | Provide Tools to Extract and Analyze Word Vectors |
| R-workboots | 0.2.0-lp153.10.5 | Generate Bootstrap Prediction Intervals from a \'tidymodels\ |
| R-workflowr | 1.7.1-lp153.4.3 | A Framework for Reproducible and Collaborative Data Science |
| R-workflows | 1.1.4-lp153.1.4 | Modeling Workflows |
| R-workloopR | 1.1.4-lp153.1.12 | Analysis of Work Loops and Other Data from Muscle Physiology |
| R-worldfootballR | 0.6.2-lp153.7.4 | Extract and Clean World Football (Soccer) Data |
| R-worldmet | 0.9.8-lp153.8.3 | Import Surface Meteorological Data from NOAA Integrated Surf |
| R-worms | 0.2.2-lp153.4.7 | Retriving Aphia Information from World Register of Marine Sp |
| R-worrms | 0.4.3-lp153.1.5 | World Register of Marine Species (WoRMS) Client |
| R-worrrd | 0.1.0-lp153.7.2 | Generate Wordsearch and Crossword Puzzles |
| R-wosr | 0.3.0-lp153.4.4 | Clients to the \'Web of Science\' and \'InCites\' APIs |
| R-wpa | 1.9.1-lp153.1.2 | Tools for Analysing and Visualising Viva Insights Data |
| R-WPC | 1.0-lp153.3.13 | Weighted Predictiveness Curve |
| R-wPerm | 1.0.1-lp153.2.13 | Permutation Tests |
| R-WPKDE | 0.1-lp153.2.13 | Weighted Piecewise Kernel Density Estimation |
| R-wpp2008 | 1.0.1-lp153.2.13 | World Population Prospects 2008 |
| R-wpp2010 | 1.2.0-lp153.2.13 | World Population Prospects 2010 |
| R-wpp2012 | 2.2.1-lp153.2.13 | World Population Prospects 2012 |
| R-wpp2015 | 1.1.2-lp153.3.7 | World Population Prospects 2015 |
| R-wpp2017 | 1.2.3-lp153.2.13 | World Population Prospects 2017 |
| R-wpp2019 | 1.1.1-lp153.2.13 | World Population Prospects 2019 |
| R-wppExplorer | 2.3.4-lp153.26.2 | Explorer of World Population Prospects |
| R-wql | 1.0.1-lp153.1.2 | Exploring Water Quality Monitoring Data |
| R-wqs | 0.0.1-lp153.2.13 | Weighted Quantile Sum Regression |
| R-WR | 1.0-lp153.2.7 | Win Ratio Analysis of Composite Time-to-Event Outcomes |
| R-wrangle | 0.6.4-lp153.2.2 | A Systematic Data Wrangling Idiom |
| R-wrappr | 0.1.0-lp153.1.5 | A Collection of Helper and Wrapper Functions |
| R-wrapr | 2.1.0-lp153.1.5 | Wrap R Tools for Debugging and Parametric Programming |
| R-wrassp | 1.0.5-lp153.1.4 | Interface to the \'ASSP\' Library |
| R-WrensBookshelf | 0.1.0-lp153.4.5 | A Collection of Palettes and Some Functions to Help Use Them |
| R-WRestimates | 0.1.0-lp153.1.4 | Sample Size, Power and CI for the Win Ratio |
| R-wrGraph | 1.3.7-lp153.1.4 | Graphics in the Context of Analyzing High-Throughput Data |
| R-WrightMap | 1.3-lp153.1.9 | IRT Item-Person Map with \'ConQuest\' Integration |
| R-write.snns | 0.0.4.2-lp153.2.13 | Function for exporting data to SNNS pattern files. |
| R-WRS2 | 1.1.6-lp153.2.2 | A Collection of Robust Statistical Methods |
| R-wsbackfit | 1.0.5-lp153.1.13 | Weighted Smooth Backfitting for Structured Models |
| R-wsjplot | 0.1.0-lp153.19.2 | Style Time Series Plots Like the Wall Street Journal |
| R-wskm | 1.4.40-lp153.4.7 | Weighted k-Means Clustering |
| R-wsprv | 0.1.0-lp153.3.7 | Weighted Selection Probability for Rare Variant Analysis |
| R-wSVM | 0.1.7-lp153.2.13 | Weighted SVM with boosting algorithm for improving accuracy |
| R-wsyn | 1.0.4-lp153.9.5 | Wavelet Approaches to Studies of Synchrony in Ecology and Ot |
| R-wtest | 3.2-lp153.2.13 | The W-Test for Genetic Interactions Testing |
| R-wTO | 1.6.3-lp153.4.10 | Computing Weighted Topological Overlaps (wTO) & Consensus wT |
| R-WtTopsis | 1.0-lp153.1.12 | Weighted Method for Multiple-Criteria Decision Making |
| R-WufooR | 1.0.1-lp153.14.7 | R Wrapper for the \'Wufoo.com\' - The Form Building Service |
| R-wux | 2.2.1-lp153.18.5 | Wegener Center Climate Uncertainty Explorer |
| R-WVPlots | 1.3.8-lp153.2.2 | Common Plots for Analysis |
| R-wvtool | 1.0-lp153.2.13 | Image Tools for Automated Wood Identification |
| R-WWGbook | 1.0.2-lp153.1.11 | Functions and Datasets for WWGbook |
| R-WWR | 1.2.2-lp153.2.13 | Weighted Win Loss Statistics and their Variances |
| R-wyz.code.metaTesting | 1.1.22-lp153.2.2 | Wizardry Code Meta Testing |
| R-wyz.code.offensiveProgramming | 1.1.24-lp153.2.2 | Wizardry Code Offensive Programming |
| R-wyz.code.rdoc | 1.1.19-lp153.8.2 | Wizardry Code Offensive Programming R Documentation |
| R-wyz.code.testthat | 1.1.20-lp153.7.2 | Wizardry Code Offensive Programming Test Generation |
| R-x.ent | 1.1.7-lp153.16.2 | eXtraction of ENTity |
| R-x12 | 1.10.3-lp153.1.2 | Interface to \'X12-ARIMA\'/\'X13-ARIMA-SEATS\' and Structure |
| R-x3ptools | 0.0.3-lp153.10.5 | Tools for Working with 3D Surface Measurements |
| R-xadmix | 1.0.0-lp153.7.2 | Subsetting and Plotting Optimized for Admixture Data |
| R-xaringan | 0.30-lp153.2.2 | Presentation Ninja |
| R-xaringanExtra | 0.8.0-lp153.2.2 | Extras and Extensions for \'xaringan\' Slides |
| R-xbreed | 1.0.1.1-lp153.2.13 | Genomic Simulation of Purebred and Crossbred Populations |
| R-xefun | 0.1.5-lp153.1.5 | X-Engineering or Supporting Functions |
| R-xega | 0.9.0.0-lp153.2.2 | Extended Evolutionary and Genetic Algorithms |
| R-xegaBNF | 1.0.0.0-lp153.1.4 | Compile a Backus-Naur Form Specification into an R Grammar O |
| R-xegaDerivationTrees | 1.0.0.0-lp153.1.4 | Generating and Manipulating Derivation Trees |
| R-xegaDfGene | 1.0.0.0-lp153.1.4 | Gene Operations for Real-Coded Genes |
| R-xegaGaGene | 1.0.0.1-lp153.1.4 | Binary Gene Operations for Genetic Algorithms |
| R-xegaGeGene | 1.0.0.0-lp153.1.4 | Grammatical Evolution |
| R-xegaGpGene | 1.0.0.0-lp153.1.4 | Genetic Operations for Grammar-Based Genetic Programming |
| R-xegaPermGene | 1.0.0.0-lp153.1.4 | Operations on Permutation Genes |
| R-xegaPopulation | 1.0.0.0-lp153.2.2 | Genetic Population Level Functions |
| R-xegaSelectGene | 1.0.0.0-lp153.1.4 | Selection of Genes and Gene Representation Independent Funct |
| R-xergm.common | 1.7.8-lp153.18.2 | Common Infrastructure for Extensions of Exponential Random G |
| R-xesreadR | 0.2.3-lp153.23.2 | Read and Write XES Files |
| R-xfun | 0.8-lp153.2.28 | Miscellaneous Functions |
| R-xfun | 0.8-2.28 | Miscellaneous Functions |
| R-xfun | 0.8-lp155.2.5 | Miscellaneous Functions |
| R-xfun | 0.8-lp154.2.10 | Miscellaneous Functions |
| R-xfun | 0.8-2.30 | Miscellaneous Functions |
| R-xgb2sql | 0.1.2-lp153.5.11 | Convert Trained \'XGBoost\' Model to SQL Query |
| R-xgobi | 1.2.15-lp153.2.13 | Interface to the XGobi and XGvis programs for graphical data |
| R-xgxr | 1.1.2-lp153.10.2 | Exploratory Graphics for Pharmacometrics |
| R-XHWE | 1.0-lp153.2.13 | X Chromosome Hardy-Weinberg Equilibrium |
| R-xkcd | 0.0.6-lp153.28.2 | Plotting ggplot2 Graphics in an XKCD Style |
| R-xkcdcolors | 1.0-lp153.2.13 | Color Names from the XKCD Color Survey |
| R-XKCDdata | 0.1.0-lp153.17.2 | Get XKCD Comic Data |
| R-xlcharts | 0.0.2-lp153.2.2 | Create Native \'Excel\' Charts and Work with Microsoft \'Exc |
| R-XLConnect | 0.2_7-lp153.2.23 | Excel Connector for R |
| R-XLConnect | 0.2_7-2.36 | Excel Connector for R |
| R-XLConnect | 0.2_7-2.24 | Excel Connector for R |
| R-xlcutter | 0.1.1-lp153.1.5 | Parse Batches of \'xlsx\' Files Based on a Template |
| R-xlink | 1.0.1-lp153.2.13 | Genetic Association Models for X-Chromosome SNPS on Continuo |
| R-xLLiM | 2.2.1-lp153.1.5 | High Dimensional Locally-Linear Mapping |
| R-XLS | 0.1.0-lp153.9.2 | A Modeling Approach that Optimizes Future Errors in Least Sq |
| R-xlsx | 0.6.1-1.24 | Read, write, format Excel 2007 and Excel 97/2000/XP/2003 fil |
| R-xlsx | 0.6.1-lp153.1.23 | Read, write, format Excel 2007 and Excel 97/2000/XP/2003 fil |
| R-xlsx | 0.6.1-1.28 | Read, write, format Excel 2007 and Excel 97/2000/XP/2003 fil |
| R-xlsx2dfs | 0.1.0-lp153.7.2 | Read and Write \'Excel\' Sheets into and from List of Data F |
| R-xlsxjars | 0.6.1-1.26 | Package required POI jars for the xlsx package |
| R-xlsxjars | 0.6.1-1.36 | Package required POI jars for the xlsx package |
| R-xlsxjars | 0.6.1-lp153.1.25 | Package required POI jars for the xlsx package |
| R-xlutils3 | 0.1.0-lp153.12.5 | Extract Multiple Excel Files at Once |
| R-xmeta | 1.3.2-lp153.1.5 | A Toolbox for Multivariate Meta-Analysis |
| R-xml2 | 1.2.2-lp154.1.10 | Parse XML |
| R-xml2 | 1.2.2-1.35 | Parse XML |
| R-xml2 | 1.2.2-lp155.1.5 | Parse XML |
| R-xml2 | 1.2.2-1.30 | Parse XML |
| R-xml2 | 1.3.6-lp153.1.4 | Parse XML |
| R-xml2 | 1.2.2-lp153.1.25 | Parse XML |
| R-XML2R | 0.0.8-lp153.1.2 | Easier XML Data Collection |
| R-xml2relational | 0.1.1-lp153.10.2 | Converting XML Documents into Relational Data Models |
| R-xmlconvert | 0.1.2-lp153.14.2 | Comfortably Converting XML Documents to Dataframes and Vice |
| R-xmlparsedata | 1.0.3-lp155.1.5 | Parse Data of \'R\' Code as an \'XML\' Tree |
| R-xmlparsedata | 1.0.3-1.28 | Parse Data of \'R\' Code as an \'XML\' Tree |
| R-xmlparsedata | 1.0.3-1.28 | Parse Data of \'R\' Code as an \'XML\' Tree |
| R-xmlparsedata | 1.0.5-lp153.1.13 | Parse Data of \'R\' Code as an \'XML\' Tree |
| R-xmlparsedata | 1.0.3-lp154.1.10 | Parse Data of \'R\' Code as an \'XML\' Tree |
| R-xmlparsedata | 1.0.3-lp153.1.26 | Parse Data of \'R\' Code as an \'XML\' Tree |
| R-xmlr | 0.1.2-lp153.2.13 | Read, Write and Work with \'XML\' Data |
| R-xmlrpc2 | 1.1-lp153.3.4 | Implementation of the Remote Procedure Call Protocol (\'XML- |
| R-xmpdf | 0.2.1-lp153.2.2 | Edit \'XMP\' Metadata and \'PDF\' Bookmarks and Documentatio |
| R-xnet | 0.1.11-lp153.2.13 | Two-Step Kernel Ridge Regression for Network Predictions |
| R-XNomial | 1.0.4-lp153.2.13 | Exact Goodness-of-Fit Test for Multinomial Data with Fixed P |
| R-xoi | 0.72-lp153.1.5 | Tools for Analyzing Crossover Interference |
| R-xopen | 1.0.0-1.26 | Open System Files, \'URLs\', Anything |
| R-xopen | 1.0.0-1.25 | Open System Files, \'URLs\', Anything |
| R-xopen | 1.0.0-lp155.1.5 | Open System Files, \'URLs\', Anything |
| R-xopen | 1.0.1-lp153.2.2 | Open System Files, \'URLs\', Anything |
| R-xopen | 1.0.0-lp154.1.10 | Open System Files, \'URLs\', Anything |
| R-xopen | 1.0.0-lp153.1.24 | Open System Files, \'URLs\', Anything |
| R-xplain | 0.2.2-lp153.13.5 | Providing Interactive Interpretations and Explanations of St |
| R-xpose | 0.4.18-lp153.3.2 | Diagnostics for Pharmacometric Models |
| R-xpose4 | 4.7.3-lp153.4.2 | Diagnostics for Nonlinear Mixed-Effect Models |
| R-xptr | 1.1.3-lp153.2.13 | Manipulating External Pointer |
| R-XR | 0.7.2-lp153.2.13 | A Structure for Interfaces from R |
| R-xray | 0.2-lp153.20.7 | X Ray Vision on your Datasets |
| R-xrf | 0.2.2-lp153.6.2 | eXtreme RuleFit |
| R-XRJulia | 0.9.0.1-lp153.2.2 | Structured Interface to Julia |
| R-XRPython | 0.8-lp153.7.5 | Structured Interface to \'Python\' |
| R-XRSCC | 0.1-lp153.2.13 | Statistical Quality Control Simulation |
| R-xsp | 0.1.2-lp153.15.2 | The Chi-Square Periodogram |
| R-xspliner | 0.0.4-lp153.13.8 | Assisted Model Building, using Surrogate Black-Box Models to |
| R-xSub | 3.0.2-lp153.7.5 | Cross-National Data on Sub-National Violence |
| R-xtable | 1.8.4-lp153.2.13 | Export tables to LaTeX or HTML |
| R-xtable | 1.8.3-lp153.2.27 | Export tables to LaTeX or HTML |
| R-xtable | 1.8.3-lp154.2.10 | Export tables to LaTeX or HTML |
| R-xtable | 1.8.3-lp155.2.5 | Export tables to LaTeX or HTML |
| R-xtable | 1.8.3-2.38 | Export tables to LaTeX or HTML |
| R-xtable | 1.8.3-2.30 | Export tables to LaTeX or HTML |
| R-xtable-doc | 1.8.3-2.30 | Documentation for R-xtable |
| R-xtable-doc | 1.8.3-2.38 | Documentation for R-xtable |
| R-xtable-doc | 1.8.3-lp153.2.27 | Documentation for R-xtable |
| R-xtable-doc | 1.8.3-lp154.2.10 | Documentation for R-xtable |
| R-xtable-doc | 1.8.3-lp155.2.5 | Documentation for R-xtable |
| R-xtal | 1.15-lp153.2.13 | Crystallization Toolset |
| R-xtermStyle | 3.0.5-lp153.2.13 | Terminal Text Formatting Using Escape Sequences |
| R-xtranat | 0.1.0-lp153.1.5 | Network Metrics Based on Random Walks |
| R-xtreg2way | 1.0.0-lp153.2.13 | Feasible Estimation of the Two-Way Fixed Effect Model |
| R-xts | 0.12.0-lp155.1.5 | Extensible Time Series |
| R-xts | 0.12.0-lp154.1.10 | Extensible Time Series |
| R-xts | 0.12.0-lp153.1.25 | Extensible Time Series |
| R-xts | 0.12.0-1.35 | Extensible Time Series |
| R-xts | 0.14.0-lp153.1.2 | Extensible Time Series |
| R-xts | 0.12.0-1.24 | Extensible Time Series |
| R-xtune | 2.0.0-lp153.1.5 | Regularized Regression with Feature-Specific Penalties Integ |
| R-xVA | 1.1-lp153.3.4 | Calculates Credit Risk Valuation Adjustments |
| R-xwf | 0.2.3-lp153.2.13 | Extrema-Weighted Feature Extraction |
| R-xxhashlite | 0.2.2-lp153.2.2 | Extremely Fast Hashing of R Objects, Raw Data and Files usin |
| R-xyloplot | 2.0-lp153.2.13 | A Method for Creating Xylophone-Like Frequency Density Plots |
| R-yacca | 1.4.2-lp153.1.11 | Yet Another Canonical Correlation Analysis Package |
| R-yaConsensus | 1.0-lp153.4.5 | Consensus Clustering of Omic Data |
| R-yager | 0.1.1-lp153.4.7 | Yet Another General Regression Neural Network |
| R-yahoofinancer | 0.3.0-lp153.1.4 | Fetch Data from Yahoo Finance API |
| R-YaleToolkit | 4.2.3-lp153.1.9 | Data Exploration Tools from Yale University |
| R-yaml | 2.2.0-lp154.6.10 | Methods to convert R data to YAML and back |
| R-yaml | 2.2.0-lp155.6.5 | Methods to convert R data to YAML and back |
| R-yaml | 2.2.0-6.31 | Methods to convert R data to YAML and back |
| R-yaml | 2.2.0-6.36 | Methods to convert R data to YAML and back |
| R-yaml | 2.2.0-lp153.6.28 | Methods to convert R data to YAML and back |
| R-yamlme | 0.1.2-lp153.12.2 | Writing \'YAML\' Headers for \'R-Markdown\' Documents |
| R-Yamm | 1.3.2-lp153.7.7 | Multivariate Methods Based on Projections and Related Concep |
| R-yap | 0.1.1-lp153.3.7 | Yet Another Probabilistic Neural Network |
| R-yardstick | 1.3.1-lp153.2.2 | Tidy Characterizations of Model Performance |
| R-yarr | 0.1.2-lp153.2.12 | Yet Another \'ARFF\' Reader |
| R-yarrr | 0.1.5-lp153.8.2 | A Companion to the e-Book \"YaRrr!: The Pirate\'s Guide to R |
| R-yasp | 0.2.0-lp153.2.13 | String Functions for Compact R Code |
| R-yatah | 1.0.0-lp153.2.2 | Yet Another TAxonomy Handler |
| R-YatesAlgo.FactorialExp.SR | 4.0.4-lp153.5.7 | Yates\' Algorithm in 2^n Factorial Experiment |
| R-ycinterextra | 0.1-lp153.2.13 | Yield curve or zero-coupon prices interpolation and extrapol |
| R-yfR | 1.1.0-lp153.3.4 | Downloads and Organizes Financial Data from Yahoo Finance |
| R-yhat | 2.0.4-lp153.1.5 | Interpreting Regression Effects |
| R-yhatr | 0.15.1-lp153.7.2 | R Binder for the Yhat API |
| R-YieldCurve | 5.1-lp153.1.8 | Modelling and Estimation of the Yield Curve |
| R-ykmeans | 1.0-lp153.2.13 | K-means using a target variable |
| R-yll | 1.0.0-lp153.2.13 | Compute Expected Years of Life Lost (YLL) and Average YLL |
| R-Ymisc | 0.1.0-lp153.1.5 | Miscellaneous Functions |
| R-ymlthis | 0.1.7-lp153.13.2 | Write \'YAML\' for \'R Markdown\', \'bookdown\', \'blogdown\ |
| R-yodel | 1.0.0-lp153.2.2 | A General Bayesian Model Averaging Helper |
| R-yonder | 0.2.0-lp153.7.8 | A Reactive Web Framework Built on \'shiny\' |
| R-yorkr | 0.0.42-lp153.2.2 | Analyze Cricket Performances Based on Data from Cricsheet |
| R-yotover | 0.3.5-lp153.5.12 | An Advanced Guide to Trade Policy Analysis |
| R-youngSwimmers | 0.0.1-lp153.3.5 | Young Swimmers Dataset |
| R-yowie | 0.1.0-lp153.4.8 | Longitudinal Wages Data from the National Longitudinal Surve |
| R-YPmodel | 1.4-lp153.2.13 | The Short-Term and Long-Term Hazard Ratio Model for Survival |
| R-YPmodelPhreg | 1.0.0-lp153.1.5 | The Short-Term and Long-Term Hazard Ratio Model with Proport |
| R-ypr | 0.6.0-lp153.6.2 | Yield Per Recruit |
| R-ypssc | 1.1.0-lp153.13.2 | Yeast-Proteome Secondary-Structure Calculator |
| R-YRmisc | 0.1.6-lp153.14.5 | Y&R Miscellaneous R Functions |
| R-yuimaGUI | 1.3.1-lp153.13.2 | A Graphical User Interface for the \'yuima\' Package |
| R-yum | 0.1.0-lp153.1.12 | Utilities to Extract and Process \'YAML\' Fragments |
| R-yummlyr | 0.1.1-lp153.2.12 | R Bindings for Yummly API |
| R-Z10 | 0.1.0-lp153.17.2 | Simple Ecological Statistics from the NEON Network |
| R-zalpha | 0.3.0-lp153.1.11 | Run a Suite of Selection Statistics |
| R-zbank | 0.1.0-lp153.9.8 | \'ZooBank\' API Client |
| R-zctaCrosswalk | 2.0.0-lp153.2.2 | Crosswalk Between 2020 Census ZIP Code Tabulation Areas (ZCT |
| R-zdeskR | 0.4.1-lp153.2.2 | Connect to Your \'Zendesk\' Data |
| R-zeallot | 0.1.0-lp153.2.13 | Multiple, Unpacking, and Destructuring Assignment |
| R-zeallot | 0.1.0-lp154.2.10 | Multiple, Unpacking, and Destructuring Assignment |
| R-zeallot | 0.1.0-lp155.2.5 | Multiple, Unpacking, and Destructuring Assignment |
| R-zeallot | 0.1.0-lp153.2.23 | Multiple, Unpacking, and Destructuring Assignment |
| R-zeallot | 0.1.0-2.28 | Multiple, Unpacking, and Destructuring Assignment |
| R-zeallot | 0.1.0-2.25 | Multiple, Unpacking, and Destructuring Assignment |
| R-ZeBook | 1.1-lp153.4.7 | Working with Dynamic Models for Agriculture and Environment |
| R-zeitgebr | 0.3.5-lp153.22.2 | Analysis of Circadian Behaviours |
| R-zendeskR | 0.4-lp153.4.8 | Zendesk API Wrapper |
| R-zendown | 0.1.0-lp153.2.2 | Access Files from \'Zenodo\' Deposits |
| R-zeroEQpart | 0.1.0-lp153.2.13 | Zero Order vs (Semi) Partial Correlation Test and CI |
| R-ZetaSuite | 1.0.1-lp153.17.2 | Analyze High-Dimensional High-Throughput Dataset and Quality |
| R-zfa | 1.1.0-lp153.1.4 | Zoom-Focus Algorithm |
| R-zfit | 0.4.0-lp153.1.5 | Fit Models in a Pipe |
| R-ZIBBSeqDiscovery | 1.0-lp153.2.13 | Zero-Inflated Beta-Binomial Modeling of Microbiome Count Dat |
| R-ZIBR | 1.0.2-lp153.1.5 | A Zero-Inflated Beta Random Effect Model |
| R-ZIBseq | 1.2-lp153.2.13 | Differential Abundance Analysis for Metagenomic Data via Zer |
| R-ZillowR | 1.0.0-lp153.1.9 | R Interface to Zillow Real Estate and Mortgage Data API |
| R-ZIM | 1.1.0-lp153.2.13 | Zero-Inflated Models (ZIM) for Count Time Series with Excess |
| R-ZINAR1 | 0.1.0-lp153.3.4 | Simulates ZINAR(1) Model and Estimates Its Parameters Under |
| R-ZINARp | 0.1.0-lp153.4.4 | Simulate INAR/ZINAR(p) Models and Estimate Its Parameters |
| R-zip | 2.3.1-lp153.1.4 | Cross-Platform \'zip\' Compression |
| R-zipangu | 0.3.2-lp153.4.2 | Japanese Utility Functions and Data |
| R-zipcode | 1.0-lp155.1.5 | U.S. ZIP Code database for geocoding |
| R-zipcode | 1.0-1.25 | U.S. ZIP Code database for geocoding |
| R-zipcode | 1.0-lp153.1.23 | U.S. ZIP Code database for geocoding |
| R-zipcode | 1.0-lp154.1.10 | U.S. ZIP Code database for geocoding |
| R-zipcode | 1.0-1.38 | U.S. ZIP Code database for geocoding |
| R-zipcodeR | 0.3.5-lp153.11.4 | Data & Functions for Working with US ZIP Codes |
| R-zipfextR | 1.0.2-lp153.11.2 | Zipf Extended Distributions |
| R-zipfR | 0.6.70-lp153.2.13 | Statistical models for word frequency distributions |
| R-ZIPG | 1.1-lp153.1.4 | Zero-Inflated Poisson-Gamma Regression |
| R-zipR | 0.1.1-lp153.2.13 | Pythonic Zip() for R |
| R-ZipRadius | 1.0.1-lp153.9.11 | Creates a Data Frame of US Zip Codes in a Given Radius from |
| R-ZIprop | 0.1.1-lp153.3.7 | Permutations Tests and Performance Indicator for Zero-Inflat |
| R-zipsae | 1.0.2-lp153.1.12 | Small Area Estimation with Zero-Inflated Model |
| R-zlibbioc | 1.24.0-2.30 | An R packaged zlib-1.2.5 |
| R-zlibbioc | 1.24.0-lp153.2.24 | An R packaged zlib-1.2.5 |
| R-zlibbioc | 1.24.0-2.38 | An R packaged zlib-1.2.5 |
| R-zlibbioc | 1.24.0-lp154.2.10 | An R packaged zlib-1.2.5 |
| R-zlibbioc | 1.24.0-lp155.2.5 | An R packaged zlib-1.2.5 |
| R-zlog | 1.0.2-lp153.1.7 | Z(log) Transformation for Laboratory Measurements |
| R-zmisc | 0.2.3-lp153.1.5 | Vector Look-Ups and Safer Sampling |
| R-zoeppritz | 1.0.9-lp153.1.5 | Seismic Reflection and Scattering Coefficients |
| R-zoib | 1.6-lp153.1.5 | Bayesian Inference for Beta Regression and Zero-or-One Infla |
| R-ZOIP | 0.1-lp153.1.13 | ZOIP Distribution, ZOIP Regression, ZOIP Mixed Regression |
| R-zonator | 0.6.0-lp153.13.7 | Utilities for Zonation Spatial Conservation Prioritization S |
| R-zoo | 1.8.12-lp153.1.5 | S3 Infrastructure for Regular and Irregular Time Series (Z\' |
| R-zoo | 1.8.3-1.38 | S3 Infrastructure for Regular and Irregular Time Series (Z\' |
| R-zoo | 1.8.3-lp153.1.28 | S3 Infrastructure for Regular and Irregular Time Series (Z\' |
| R-zoo | 1.8.3-lp155.1.5 | S3 Infrastructure for Regular and Irregular Time Series (Z\' |
| R-zoo | 1.8.3-lp154.1.10 | S3 Infrastructure for Regular and Irregular Time Series (Z\' |
| R-zoo | 1.8.3-1.36 | S3 Infrastructure for Regular and Irregular Time Series (Z\' |
| R-zooaRch | 1.2-lp153.14.5 | Analytical Tools for Zooarchaeological Data |
| R-zoocat | 0.2.0.1-lp153.1.13 | \'zoo\' Objects with Column Attributes |
| R-ZooID | 0.2.0-lp153.1.4 | Load, Segment and Classify Zooplankton Images |
| R-zoolog | 1.1.0-lp153.3.2 | Zooarchaeological Analysis with Log-Ratios |
| R-zoom | 2.0.6-lp153.1.9 | A Spatial Data Visualization Tool |
| R-zoomGroupStats | 0.1.0-lp153.14.2 | Analyze Text, Audio, and Video from \'Zoom\' Meetings |
| R-zoomr | 0.3.0-lp153.2.2 | Connect to Your \'Zoom\' Data |
| R-zoon | 0.6.5-lp153.17.7 | Reproducible, Accessible & Shareable Species Distribution Mo |
| R-zscorer | 0.3.1-lp153.13.2 | Child Anthropometry z-Score Calculator |
| R-Zseq | 0.2.1-lp153.1.8 | Integer Sequence Generator |
| R-zTree | 1.0.7-lp153.2.7 | Functions to Import Data from \'z-Tree\' into R |
| R-ztype | 0.1.0-lp153.21.4 | Run a Ztype Game Loaded with R Functions |
| R-zyp | 0.11.1-lp153.1.5 | Zhang + Yue-Pilon Trends Package |
| R-zzlite | 0.1.2-lp153.2.12 | Lite Wrapper for the \'Zamzar File Conversion\' API |
| rasterview | 1.4.1-2024gos20.2.7 | CUPS/PWG Raster File Viewer |
| rclone | 1.67.0-1.1 | rsync for cloud storage |
| rclone | 1.67.0-1.1 | rsync for cloud storage |
| rclone | 1.67.0-1.1 | rsync for cloud storage |
| rclone | 1.67.0-1.0.2.1.sr20240605 | rsync for cloud storage |
| rclone-bash-completion | 1.67.0-1.1 | Bash Completion for rclone |
| rclone-bash-completion | 1.67.0-1.1 | Bash Completion for rclone |
| rclone-bash-completion | 1.67.0-1.1 | Bash Completion for rclone |
| rclone-bash-completion | 1.67.0-1.1 | Bash Completion for rclone |
| rclone-bash-completion | 1.67.0-1.1 | Bash Completion for rclone |
| rclone-zsh-completion | 1.67.0-1.1 | Zsh Completion for rclone |
| rclone-zsh-completion | 1.67.0-1.1 | Zsh Completion for rclone |
| rclone-zsh-completion | 1.67.0-1.1 | Zsh Completion for rclone |
| rclone-zsh-completion | 1.67.0-1.1 | Zsh Completion for rclone |
| rclone-zsh-completion | 1.67.0-1.1 | Zsh Completion for rclone |
| rebootmgr-formula | 2.2.1-lp156.1.1 | Salt states for managing rebootmgr |
| rebootmgr-formula | 2.2.1-lp155.1.1 | Salt states for managing rebootmgr |
| rebootmgr-formula | 2.2.1-1.1 | Salt states for managing rebootmgr |
| redis-formula | 2.2.1-lp156.1.1 | Salt states for managing Redis |
| redis-formula | 2.2.1-1.1 | Salt states for managing Redis |
| redis-formula | 2.2.1-lp155.1.1 | Salt states for managing Redis |
| redmine-formula | 2.2.1-lp155.1.1 | Salt states for managing Redmine |
| redmine-formula | 2.2.1-1.1 | Salt states for managing Redmine |
| redmine-formula | 2.2.1-lp156.1.1 | Salt states for managing Redmine |
| RemoteBox | 3.2-lp156.59.1 | A VirtualBox client with remote management |
| Retropie-EmulationStation | 2.git.1614976389.064a1818-lp156.10.1 | A Fork of Emulation Station for RetroPie |
| rkward | 0.7.5-lp155.53.3 | Graphical frontend for R language |
| rkward | 0.7.5-lp153.53.3 | Graphical frontend for R language |
| rkward | 0.7.5-lp154.53.3 | Graphical frontend for R language |
| roundcubemail-plugin-twofactor-gauthenticator | 20201027-lp156.2.1 | This RoundCube plugin adds the 2-step verification(OTP) to t |
| rstudio | 2024.04.0+735-lp155.89.2 | RStudio base package |
| rstudio-desktop | 2024.04.0+735-lp155.89.2 | Integrated development environment for the R programming lan |
| rstudio-server | 2024.04.0+735-lp155.89.2 | Access RStudio via a web browser running on a remote server |
| rsync-formula | 2.2.1-1.1 | Salt states for managing rsyncd |
| rsync-formula | 2.2.1-lp156.1.1 | Salt states for managing rsyncd |
| rsync-formula | 2.2.1-lp155.1.1 | Salt states for managing rsyncd |
| ruby3.2-rubygem-eventmachine | 1.2.7-3.1 | Ruby/EventMachine library |
| ruby3.2-rubygem-eventmachine | 1.2.7-3.1 | Ruby/EventMachine library |
| runvdr-extreme-systemd | 0.5.0-lp156.7.1 | Startscripts and systemd unit file for VDR |
| runvdr-extreme-systemd | 0.5.0-lp156.11.1 | Startscripts and systemd unit file for VDR |
| rust | 1.79.0-1.1 | A systems programming language |
| rust | 1.79.0-1.1 | A systems programming language |
| rust | 1.79.0-1.1 | A systems programming language |
| rust | 1.79.0-1.1 | A systems programming language |
| rust | 1.79.0-1.1 | A systems programming language |
| rust-keylime | 0.2.6~0-60.3 | Rust implementation of the keylime agent |
| rust-keylime | 0.2.6~0-60.10 | Rust implementation of the keylime agent |
| rust-keylime | 0.2.6~0-1.1 | Rust implementation of the keylime agent |
| rust-keylime | 0.2.6~0-1.0.2.1.sr20240605 | Rust implementation of the keylime agent |
| rust-keylime | 0.2.6~0-60.3 | Rust implementation of the keylime agent |
| rust-keylime | 0.2.6~0-60.10 | Rust implementation of the keylime agent |
| rust-keylime | 0.2.6~0-1.1 | Rust implementation of the keylime agent |
| rust-keylime | 0.2.6~0-60.6 | Rust implementation of the keylime agent |
| rust-keylime | 0.2.6~0-60.2 | Rust implementation of the keylime agent |
| rust-keylime | 0.2.6~0-1.1 | Rust implementation of the keylime agent |
| s390utils | 2.29.0-3.el9_4.1 | Utilities and daemons for IBM z Systems |
| s390utils | 2.29.0-3.el9_4.1 | Utilities and daemons for IBM z Systems |
| s390utils-se-data | 2.29.0-3.el9_4.1 | Data for Secure Execution |
| s390utils-se-data | 2.29.0-3.el9_4.1 | Data for Secure Execution |
| s390utils-se-data | 2.29.0-3.el9_4.1 | Data for Secure Execution |
| s390utils-se-data | 2.29.0-3.el9_4.1 | Data for Secure Execution |
| s390utils-se-data | 2.29.0-3.el9_4.1 | Data for Secure Execution |
| saffroncoin-qt5 | 2.6.2-lp156.7.7 | GUI for the SaffronCoin crypto-currency |
| saffroncoind | 2.6.2-lp156.7.7 | Headless daemon for saffroncoin crypto-currency |
| salt | 3006.0-20.2 | A parallel remote execution system |
| salt-api | 3006.0-20.2 | The api for Salt a parallel remote execution system |
| salt-bash-completion | 3006.0-20.2 | Bash Completion for salt |
| salt-cloud | 3006.0-20.2 | Generic cloud provisioning tool for Saltstack |
| salt-doc | 3006.0-20.2 | Documentation for salt, a parallel remote execution system |
| salt-fish-completion | 3006.0-20.2 | Fish Completion for salt |
| salt-master | 3006.0-20.2 | The management component of Saltstack with zmq protocol supp |
| salt-minion | 3006.0-20.2 | The client component for Saltstack |
| salt-proxy | 3006.0-20.2 | Component for salt that enables controlling arbitrary device |
| salt-ssh | 3006.0-20.2 | Management component for Saltstack with ssh protocol |
| salt-standalone-formulas-configuration | 3006.0-20.2 | Standalone Salt configuration to make the packaged formulas |
| salt-syndic | 3006.0-20.2 | The syndic component for saltstack |
| salt-transactional-update | 3006.0-20.2 | Transactional update executor configuration |
| salt-zsh-completion | 3006.0-20.2 | Zsh Completion for salt |
| samba | 4.19.4-105.el9_4 | Server and Client software to interoperate with Windows mach |
| samba | 4.19.5+git.342.57620c4f7e-lp156.2.1 | A SMB/CIFS File, Print, and Authentication Server |
| samba | 4.19.4-105.el9_4 | Server and Client software to interoperate with Windows mach |
| samba-ad-dc | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Samba Active Directory-compatible Domain Controller |
| samba-ad-dc-libs | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Samba Active Directory Domain Controller libraries |
| samba-ceph | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Ceph specific add-ons for Samba |
| samba-client | 4.19.4-105.el9_4 | Samba client programs |
| samba-client | 4.19.4-105.el9_4 | Samba client programs |
| samba-client | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Samba client utilities |
| samba-client-libs | 4.19.4-105.el9_4 | Samba client libraries |
| samba-client-libs | 4.19.4-105.el9_4 | Samba client libraries |
| samba-client-libs | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Samba client libraries |
| samba-client-libs | 4.19.4-105.el9_4 | Samba client libraries |
| samba-client-libs | 4.19.4-105.el9_4 | Samba client libraries |
| samba-common | 4.19.4-105.el9_4 | Files used by both Samba servers and clients |
| samba-common | 4.19.4-105.el9_4 | Files used by both Samba servers and clients |
| samba-common | 4.19.4-105.el9_4 | Files used by both Samba servers and clients |
| samba-common | 4.19.4-105.el9_4 | Files used by both Samba servers and clients |
| samba-common | 4.19.4-105.el9_4 | Files used by both Samba servers and clients |
| samba-common-libs | 4.19.4-105.el9_4 | Libraries used by both Samba servers and clients |
| samba-common-libs | 4.19.4-105.el9_4 | Libraries used by both Samba servers and clients |
| samba-common-libs | 4.19.4-105.el9_4 | Libraries used by both Samba servers and clients |
| samba-common-libs | 4.19.4-105.el9_4 | Libraries used by both Samba servers and clients |
| samba-common-tools | 4.19.4-105.el9_4 | Tools for Samba clients |
| samba-common-tools | 4.19.4-105.el9_4 | Tools for Samba clients |
| samba-dc-libs | 4.19.4-105.el9_4 | Samba AD Domain Controller Libraries |
| samba-dc-libs | 4.19.4-105.el9_4 | Samba AD Domain Controller Libraries |
| samba-dc-libs | 4.19.4-105.el9_4 | Samba AD Domain Controller Libraries |
| samba-dc-libs | 4.19.4-105.el9_4 | Samba AD Domain Controller Libraries |
| samba-dcerpc | 4.19.4-105.el9_4 | DCE RPC binaries |
| samba-dcerpc | 4.19.4-105.el9_4 | DCE RPC binaries |
| samba-devel | 4.19.4-105.el9_4 | Developer tools for Samba libraries |
| samba-devel | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Development files shared by Samba subpackages |
| samba-devel | 4.19.4-105.el9_4 | Developer tools for Samba libraries |
| samba-devel | 4.19.4-105.el9_4 | Developer tools for Samba libraries |
| samba-devel | 4.19.4-105.el9_4 | Developer tools for Samba libraries |
| samba-doc | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Samba Documentation |
| samba-dsdb-modules | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Samba LDB modules |
| samba-gpupdate | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Samba Group Policy |
| samba-krb5-printing | 4.19.4-105.el9_4 | Samba CUPS backend for printing with Kerberos |
| samba-krb5-printing | 4.19.4-105.el9_4 | Samba CUPS backend for printing with Kerberos |
| samba-ldb-ldap | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Samba Ldb Ldap Modules |
| samba-ldb-ldap-modules | 4.19.4-105.el9_4 | Samba ldap modules for ldb |
| samba-ldb-ldap-modules | 4.19.4-105.el9_4 | Samba ldap modules for ldb |
| samba-libs | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Samba libraries |
| samba-libs | 4.19.4-105.el9_4 | Samba libraries |
| samba-libs | 4.19.4-105.el9_4 | Samba libraries |
| samba-libs | 4.19.4-105.el9_4 | Samba libraries |
| samba-libs | 4.19.4-105.el9_4 | Samba libraries |
| samba-libs-python3 | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Python3 dependencies of samba-libs |
| samba-pidl | 4.19.4-105.el9_4 | Perl IDL compiler |
| samba-pidl | 4.19.4-105.el9_4 | Perl IDL compiler |
| samba-pidl | 4.19.4-105.el9_4 | Perl IDL compiler |
| samba-pidl | 4.19.4-105.el9_4 | Perl IDL compiler |
| samba-pidl | 4.19.4-105.el9_4 | Perl IDL compiler |
| samba-python3 | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Samba Python3 libraries |
| samba-test | 4.19.4-105.el9_4 | Testing tools for Samba servers and clients |
| samba-test | 4.19.4-105.el9_4 | Testing tools for Samba servers and clients |
| samba-test | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Testing tools for Samba servers and clients |
| samba-test-libs | 4.19.4-105.el9_4 | Libraries need by the testing tools for Samba servers and cl |
| samba-test-libs | 4.19.4-105.el9_4 | Libraries need by the testing tools for Samba servers and cl |
| samba-tool | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Main Samba administration tool |
| samba-tools | 4.19.4-105.el9_4 | Tools for Samba servers |
| samba-tools | 4.19.4-105.el9_4 | Tools for Samba servers |
| samba-usershares | 4.19.4-105.el9_4 | Provides support for non-root user shares |
| samba-usershares | 4.19.4-105.el9_4 | Provides support for non-root user shares |
| samba-vfs-iouring | 4.19.4-105.el9_4 | Samba VFS module for io_uring |
| samba-vfs-iouring | 4.19.4-105.el9_4 | Samba VFS module for io_uring |
| samba-winbind | 4.19.4-105.el9_4 | Samba winbind |
| samba-winbind | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Winbind Daemon and Tool |
| samba-winbind | 4.19.4-105.el9_4 | Samba winbind |
| samba-winbind-clients | 4.19.4-105.el9_4 | Samba winbind clients |
| samba-winbind-clients | 4.19.4-105.el9_4 | Samba winbind clients |
| samba-winbind-krb5-locator | 4.19.4-105.el9_4 | Samba winbind krb5 locator |
| samba-winbind-krb5-locator | 4.19.4-105.el9_4 | Samba winbind krb5 locator |
| samba-winbind-libs | 4.19.5+git.342.57620c4f7e-lp156.2.1 | Winbind Daemon libraries |
| samba-winbind-modules | 4.19.4-105.el9_4 | Samba winbind modules |
| samba-winbind-modules | 4.19.4-105.el9_4 | Samba winbind modules |
| samba-winbind-modules | 4.19.4-105.el9_4 | Samba winbind modules |
| samba-winbind-modules | 4.19.4-105.el9_4 | Samba winbind modules |
| samba-winexe | 4.19.4-105.el9_4 | Samba Winexe Windows Binary |
| samba-winexe | 4.19.4-105.el9_4 | Samba Winexe Windows Binary |
| sane-airscan | 0.99.29-lp155.10.1 | Universal driver for Apple AirScan (eSCL) and WSD |
| sayonara | 1.10.0stable1-1.5 | A lightweight Qt Audio player |
| sayonara-lang | 1.10.0stable1-1.5 | Translations for package sayonara |
| SCFqt | 0.0.3b.git.1494849079.fd28fb5-lp156.6.1 | Speriamo Che Funzioni |
| sharpziplib | 1.2.0-1.7 | C# Zip, GZip, Tar and BZip2 library for .NET |
| sharpziplib-devel | 1.2.0-1.7 | C# Zip, GZip, Tar and BZip2 library for .NET |
| sisu-mojos | 0.9.0.M3-slfo.1.2.1 | Sisu plugin for Apache Maven |
| sisu-mojos-javadoc | 0.9.0.M3-slfo.1.2.1 | API documentation for sisu-mojos |
| skaffari | 0.0.99-512.8 | Web Based Mail Accounts Configuration |
| skaffari | 0.0.99-lp156.512.1 | Web Based Mail Accounts Configuration |
| skaffari | 0.0.99-512.8 | Web Based Mail Accounts Configuration |
| slepc-devel | 3.18.2-lp155.2.7 | Development and header files for slepc |
| smartmontools-formula | 2.2.1-1.1 | Salt states for managing smartmontools |
| smartmontools-formula | 2.2.1-lp155.1.1 | Salt states for managing smartmontools |
| smartmontools-formula | 2.2.1-lp156.1.1 | Salt states for managing smartmontools |
| sock | 1.1-lp156.194.1 | Sock -- A Simple Shell Interface to Network Sockets |
| solr | 1.0-59.1 | Apache Solr |
| spirv-cross | 1.3.280.0-2024.44.1 | Tool and library for SPIR-V reflection and disassembly |
| spirv-cross-devel | 1.3.280.0-2024.44.1 | Development headers for the SPIRV-Cross library |
| spirv-headers | 1.6.1+sdk283-2024.101.1 | Machine-readable files from the SPIR-V registry |
| splix | 2.0.0.315-2024gos20.8.4 | Driver for Samsung Printer Language printers |
| sratom-devel | 0.6.14-2.1 | Development files for libsratom |
| sratom-devel | 0.6.14-2.1 | Development files for libsratom |
| srt | 1.5.3-lp155.42.14 | Secure Reliable Transport (SRT) |
| srt-devel | 1.5.3-lp155.42.14 | Development files for the Secure Reliable Transport (SRT) li |
| status_mail-formula | 2.2.1-lp155.1.1 | Salt states for managing systemd-status-mail |
| status_mail-formula | 2.2.1-1.1 | Salt states for managing systemd-status-mail |
| status_mail-formula | 2.2.1-lp156.1.1 | Salt states for managing systemd-status-mail |
| stunnel | 5.72-110.4 | Universal TLS Tunnel |
| stunnel-doc | 5.72-110.4 | Documentation for the universal TLS Tunnel |
| suse_ha-formula | 2.2.1-lp155.1.1 | Salt states for managing SLE HA clusters |
| suse_ha-formula | 2.2.1-1.1 | Salt states for managing SLE HA clusters |
| suse_ha-formula | 2.2.1-lp156.1.1 | Salt states for managing SLE HA clusters |
| sysconfig-formula | 2.2.1-lp155.1.1 | Salt helpers for sysconfig |
| sysconfig-formula | 2.2.1-lp156.1.1 | Salt helpers for sysconfig |
| sysconfig-formula | 2.2.1-1.1 | Salt helpers for sysconfig |
| sysstat | 12.7.5-lp155.170.2 | Sar and Iostat Commands for Linux |
| sysstat | 12.7.5-lp156.170.2 | Sar and Iostat Commands for Linux |
| sysstat-isag | 12.7.5-lp156.170.2 | Interactive System Activity Grapher for sysstat |
| sysstat-isag | 12.7.5-lp155.170.2 | Interactive System Activity Grapher for sysstat |
| system-user-flatpak | 1.15.8-2.1 | System user for the flatpak system helper |
| system-user-flatpak | 1.15.8-2.1 | System user for the flatpak system helper |
| system-user-flatpak | 1.15.8-3.0.2.1.sr20240702 | System user for the flatpak system helper |
| system-user-kankurun | 0.17.1-3.26 | System user and group kankurun/kanku |
| system-user-kankurun | 0.17.1.git20240607.4f6bc2c-491.6 | System user and group kankurun/kanku |
| taoframework-cg | 2.1.0-1.9 | The Tao Framework for Mono, Cg Bindings |
| taoframework-cg | 2.1.0-1.9 | The Tao Framework for Mono, Cg Bindings |
| taoframework-devil | 2.1.0-1.9 | The Tao Framework for Mono, DevIL Bindings |
| taoframework-devil | 2.1.0-1.9 | The Tao Framework for Mono, DevIL Bindings |
| taoframework-doc | 2.1.0-1.9 | The Tao Framework for Mono, Documentation |
| taoframework-doc | 2.1.0-1.9 | The Tao Framework for Mono, Documentation |
| taoframework-ffmpeg | 2.1.0-1.9 | The Tao Framework for Mono, FFmpeg Bindings |
| taoframework-ffmpeg | 2.1.0-1.9 | The Tao Framework for Mono, FFmpeg Bindings |
| taoframework-freeglut | 2.1.0-1.9 | The Tao Framework for Mono, freeglut Bindings |
| taoframework-freeglut | 2.1.0-1.9 | The Tao Framework for Mono, freeglut Bindings |
| taoframework-freetype | 2.1.0-1.9 | The Tao Framework for Mono, FreeType Bindings |
| taoframework-freetype | 2.1.0-1.9 | The Tao Framework for Mono, FreeType Bindings |
| taoframework-glfw | 2.1.0-1.9 | The Tao Framework for Mono, GLFW Bindings |
| taoframework-glfw | 2.1.0-1.9 | The Tao Framework for Mono, GLFW Bindings |
| taoframework-lua | 2.1.0-1.9 | The Tao Framework for Mono, Lua Bindings |
| taoframework-lua | 2.1.0-1.9 | The Tao Framework for Mono, Lua Bindings |
| taoframework-ode | 2.1.0-1.9 | The Tao Framework for Mono, ODE Bindings |
| taoframework-ode | 2.1.0-1.9 | The Tao Framework for Mono, ODE Bindings |
| taoframework-openal | 2.1.0-1.9 | The Tao Framework for Mono, OpenAL Bindings |
| taoframework-openal | 2.1.0-1.9 | The Tao Framework for Mono, OpenAL Bindings |
| taoframework-opengl | 2.1.0-1.9 | The Tao Framework for Mono, OpenGL Bindings |
| taoframework-opengl | 2.1.0-1.9 | The Tao Framework for Mono, OpenGL Bindings |
| taoframework-physfs | 2.1.0-1.9 | The Tao Framework for Mono, PhysicsFS Bindings |
| taoframework-physfs | 2.1.0-1.9 | The Tao Framework for Mono, PhysicsFS Bindings |
| taoframework-sdl | 2.1.0-1.9 | The Tao Framework for Mono, SDL Bindings |
| taoframework-sdl | 2.1.0-1.9 | The Tao Framework for Mono, SDL Bindings |
| tayga-formula | 2.2.1-1.1 | Salt states for managing TAYGA |
| tayga-formula | 2.2.1-lp156.1.1 | Salt states for managing TAYGA |
| tayga-formula | 2.2.1-lp155.1.1 | Salt states for managing TAYGA |
| testdisk | 7.2-lp151.19.12 | Tool to Recover and Fix Partitions |
| TMatrix | 1.4-lp156.1.1 | A cmatrix-like replica of the digital rain from the Matrix |
| tmglib-devel | 3.12.0-1.1 | Test Matrix Generator Library: headers and sources for devel |
| tmglib-devel-static | 3.12.0-1.1 | Test Matrix Generator Library: static library |
| tntnet | 3.0-lp156.4.1 | A web application server for web applications written in C++ |
| tntnet | 3.0-lp156.2.1 | A web application server for web applications written in C++ |
| tntnet-demos | 3.0-lp156.4.1 | Example applications for tntnet |
| tntnet-demos | 3.0-lp156.2.1 | Example applications for tntnet |
| tntnet-devel | 3.0-lp156.4.1 | A c++-class-library for easy database-access |
| tntnet-devel | 3.0-lp156.2.1 | A c++-class-library for easy database-access |
| tootle | 0.0.1.b4046da-lp155.12.5 | Simple Mastodon client for Linux |
| tootle-lang | 0.0.1.b4046da-lp155.12.5 | Translations for package tootle |
| tuxedo-keyboard | 3.2.14-lp156.2.19 | TUXEDO Computers Kernel Module |
| tuxedo-keyboard-kmp-default | 3.2.14_k6.4.0_150600.21-lp156.2.19 | TUXEDO Computers Kernel Module |
| tvheadend | 4.3^20240111gitc9b38a8-6.fc41 | TV streaming server and digital video recorder |
| tvheadend-debuginfo | 4.3^20240111gitc9b38a8-6.fc41 | Debug information for package tvheadend |
| tvheadend-debugsource | 4.3^20240111gitc9b38a8-6.fc41 | Debug sources for package tvheadend |
| typelib-1_0-Flatpak-1_0 | 1.15.8-3.0.2.1.sr20240702 | Introspection bindings for the flatpak library |
| typelib-1_0-Flatpak-1_0 | 1.15.8-2.1 | Introspection bindings for the flatpak library |
| typelib-1_0-Flatpak-1_0 | 1.15.8-2.0.2.1.sr20240605 | Introspection bindings for the flatpak library |
| typelib-1_0-Flatpak-1_0 | 1.15.8-2.1 | Introspection bindings for the flatpak library |
| typelib-1_0-Fwupd-2_0 | 1.9.21-1.0.4.1.sr20240605 | GObject-introspection bindings for libfwupd |
| typelib-1_0-Fwupd-2_0 | 1.9.21-1.1 | GObject-introspection bindings for libfwupd |
| typelib-1_0-GdkPixbuf-2_0 | 2.42.12-150600.1.1 | Introspection bindings for gdk-pixbuf |
| typelib-1_0-GdkPixdata-2_0 | 2.42.12-150600.1.1 | Introspection bindings for gdk-pixdata |
| typioca | 2.11.2-1.1 | Minimal terminal based typing speed tester |
| typioca-bash-completion | 2.11.2-1.1 | Bash Completion for typioca |
| typioca-zsh-completion | 2.11.2-1.1 | ZSH Completion for typioca |
| typst | 0.11.1-1.0.2.1.sr20240605 | A new markup-based typesetting system that is powerful and e |
| typst | 0.11.1-1.1 | A new markup-based typesetting system that is powerful and e |
| typst-bash-completion | 0.11.1-1.1 | Bash Completion for typst |
| typst-fish-completion | 0.11.1-1.1 | Fish Completion for typst |
| ucode-intel | 20240514-slfo.1.1.1 | Microcode Updates for Intel x86/x86-64 CPUs |
| url-eater | 1707489357.69578d2-lp156.1.1 | Clean unnecessary parameters from URLs copied to clipboard |
| vdr | 2.6.7-lp156.1.1 | Video Disk Recorder |
| vdr-devel | 2.6.7-lp156.1.1 | Header files for the Video Disk Recorder |
| vdr-lang | 2.6.7-lp156.1.1 | Translations for package vdr |
| vdr-plugin-epgfixer | 0.3.1-lp156.5.1 | Epgfixer is a VDR plugin for doing extra fixing of EPG data |
| vdr-plugin-epgsearch | 2.4.1-lp156.1.1 | VDR epgsearch plugin |
| vdr-plugin-extrecmenu | 1.2.4-lp156.4.1 | A plugin for VDR to replace and extend the recordings-menu |
| vdr-plugin-femon | 2.4.0-lp156.33.1 | DVB frontend status monitor plugin for VDR |
| vdr-plugin-live | 3.3.4-lp156.1.1 | LIVE Plugin for the Video Disc Recorder VDR |
| vdr-plugin-osdserver | 0.1.3-lp156.5.1 | Provides VDR OSD access to external programs and scripts |
| vdr-plugin-osdteletext | 0.9.7-lp156.2.1 | Displays teletext pages directly on VDR\'s OSD |
| vdr-plugin-radio | 1.1.0-lp156.3.1 | RDS und Hintergrundbild für Radiosender |
| vdr-plugin-remote | 0.7.0-lp156.34.1 | VDR remote plugin |
| vdr-plugin-satip | 2.4.1+git3~02a842f-lp156.1.1 | SAT>IP Input Plugin for the Video Disc Recorder VDR |
| vdr-plugin-skinenigmang | 0.1.2~git20180501-lp156.4.1 | \"EnigmaNG\" is a standalone skin for VDR based on the \"Eni |
| vdr-plugin-streamdev-client | 0.6.3-lp156.2.1 | The streamdev plugin adds streaming capabilities to your VDR |
| vdr-plugin-streamdev-server | 0.6.3-lp156.2.1 | The streamdev plugin adds streaming capabilities to your VDR |
| vdr-plugin-suspendoutput | 2.1.0-lp156.3.1 | Suspend vdr output |
| vdr-plugin-systeminfo | 0.1.4-lp156.2.1 | Shows some system-information on the OSD |
| vdr-plugin-trayopenng | 1.0.1-lp156.3.1 | Plugin to eject the CD drive |
| vdr-plugin-tvguide | 1.3.3-lp156.1.1 | Customizable 2D EPG viewer plugin |
| vdr-plugin-tvscraper | 0.2.0-lp156.5.1 | TVScraper collects metadata for all available EPG events |
| vdr-plugin-vdrmanager | 0.14-lp156.2.1 | API plugin for access from the Android App vdrmanager |
| vdr-plugin-vnsiserver | 1.8.0-lp156.3.1 | VDR plugin to handle XBMC clients |
| vdr-plugin-xine | 0.9.4-lp156.8.1 | VDR xine plugin |
| vdr-plugin-xineliboutput | 2.3.0-lp156.1.1 | VDR xineliboutput plugin |
| vdr-xineliboutput-client | 2.3.0-lp156.1.1 | Xinelib-based software output device for VDR - client |
| vdradmin-am | 3.6.13-lp156.1.1 | Webinterface for managing the Linux Video Disk Recorder (VDR |
| vdradmin-am | 3.6.13-lp156.21.1 | Webinterface for managing the Linux Video Disk Recorder (VDR |
| vertcoin-doc | 23.2.0-lp156.4.1 | Documentation for vertcoin |
| vertcoin-doc | 23.2.0-lp153.4.1 | Documentation for vertcoin |
| vertcoin-qt5 | 23.2.0-lp156.4.1 | GUI for the VertCoin crypto-currency |
| vertcoin-qt5 | 23.2.0-lp153.4.1 | GUI for the VertCoin crypto-currency |
| vertcoin-utils | 23.2.0-lp156.4.1 | Utils for the VertCoin crypto-currency |
| vertcoin-utils | 23.2.0-lp153.4.1 | Utils for the VertCoin crypto-currency |
| vertcoind | 23.2.0-lp156.4.1 | Headless daemon for vertcoin crypto-currency |
| vertcoind | 23.2.0-lp153.4.1 | Headless daemon for vertcoin crypto-currency |
| virglrenderer-devel | 1.0.1-2024.45.1 | Virgil3D renderer development files |
| virglrenderer-test-server | 1.0.1-2024.45.1 | Virgil3D renderer development files |
| vlc | 3.0.21-bp156.2.3.1 | Graphical media player |
| vlc | 3.0.21-bp156.2.3.1 | Graphical media player |
| vlc | 3.0.21-bp155.2.6.1 | Graphical media player |
| vlc | 3.0.21-bp156.2.3.1 | Graphical media player |
| vlc-codec-fluidsynth | 3.0.21-bp155.2.6.1 | FluidSynth integration for the VLC media player |
| vlc-codec-fluidsynth | 3.0.21-bp156.2.3.1 | FluidSynth integration for the VLC media player |
| vlc-codec-fluidsynth | 3.0.21-bp156.2.3.1 | FluidSynth integration for the VLC media player |
| vlc-codec-fluidsynth | 3.0.21-bp156.2.3.1 | FluidSynth integration for the VLC media player |
| vlc-codec-gstreamer | 3.0.21-bp155.2.6.1 | GStreamer integration for the VLC media player |
| vlc-codec-gstreamer | 3.0.21-bp156.2.3.1 | GStreamer integration for the VLC media player |
| vlc-codec-gstreamer | 3.0.21-bp156.2.3.1 | GStreamer integration for the VLC media player |
| vlc-codec-gstreamer | 3.0.21-bp156.2.3.1 | GStreamer integration for the VLC media player |
| vlc-devel | 3.0.21-bp156.2.3.1 | Development files for the VLC media player system |
| vlc-devel | 3.0.21-bp156.2.3.1 | Development files for the VLC media player system |
| vlc-devel | 3.0.21-bp156.2.3.1 | Development files for the VLC media player system |
| vlc-devel | 3.0.21-bp155.2.6.1 | Development files for the VLC media player system |
| vlc-jack | 3.0.21-bp156.2.3.1 | Jack integration for the VLC media player |
| vlc-jack | 3.0.21-bp155.2.6.1 | Jack integration for the VLC media player |
| vlc-jack | 3.0.21-bp156.2.3.1 | Jack integration for the VLC media player |
| vlc-jack | 3.0.21-bp156.2.3.1 | Jack integration for the VLC media player |
| vlc-lang | 3.0.21-bp155.2.6.1 | Translations for package vlc |
| vlc-lang | 3.0.21-bp156.2.3.1 | Translations for package vlc |
| vlc-lang | 3.0.21-bp156.2.3.1 | Translations for package vlc |
| vlc-lang | 3.0.21-bp156.2.3.1 | Translations for package vlc |
| vlc-noX | 3.0.21-bp155.2.6.1 | VLC without X dependencies |
| vlc-noX | 3.0.21-bp156.2.3.1 | VLC without X dependencies |
| vlc-noX | 3.0.21-bp156.2.3.1 | VLC without X dependencies |
| vlc-noX | 3.0.21-bp156.2.3.1 | VLC without X dependencies |
| vlc-opencv | 3.0.21-bp156.2.3.1 | OpenCV plugins for VLC media player |
| vlc-opencv | 3.0.21-bp156.2.3.1 | OpenCV plugins for VLC media player |
| vlc-opencv | 3.0.21-bp155.2.6.1 | OpenCV plugins for VLC media player |
| vlc-opencv | 3.0.21-bp156.2.3.1 | OpenCV plugins for VLC media player |
| vlc-qt | 3.0.21-bp156.2.3.1 | Qt interface for the VLC media player |
| vlc-qt | 3.0.21-bp156.2.3.1 | Qt interface for the VLC media player |
| vlc-qt | 3.0.21-bp156.2.3.1 | Qt interface for the VLC media player |
| vlc-qt | 3.0.21-bp155.2.6.1 | Qt interface for the VLC media player |
| vlc-vdpau | 3.0.21-bp156.2.3.1 | Additional vdpau codecs for the VLC media player |
| vlc-vdpau | 3.0.21-bp155.2.6.1 | Additional vdpau codecs for the VLC media player |
| vlc-vdpau | 3.0.21-bp156.2.3.1 | Additional vdpau codecs for the VLC media player |
| vlc-vdpau | 3.0.21-bp156.2.3.1 | Additional vdpau codecs for the VLC media player |
| vobcopy | 1.1.2-lp156.9.1 | vobcopy copies DVD .vob files to harddisk |
| vte | 0.28.2-42.el7 | A terminal emulator |
| vte-devel | 0.28.2-42.el7 | Files needed for developing applications which use vte |
| vulkan-devel | 1.3.257-lp155.3.5 | Vulkan development package |
| vulkan-devel | 1.3.283.0-2024.130.1 | Vulkan development package |
| vulkan-devel-32bit | 1.3.283.0-2024.130.1 | Vulkan development package |
| vulkan-headers | 1.3.283.0-2024.120.1 | Vulkan C and C++ API header files |
| wayland-protocols-devel | 1.36-2024.85.1 | Wayland protocols that add functionality not available in th |
| wine | 20240613~wayland.1d42cf127-76.1 | An MS Windows emulator |
| wine | 20240613~wayland.1d42cf127-76.1 | An MS Windows emulator |
| wine-32bit | 20240613~wayland.1d42cf127-76.1 | An MS Windows emulator |
| wine-devel | 20240613~wayland.1d42cf127-76.1 | files for wine development |
| wine-devel | 20240613~wayland.1d42cf127-76.1 | files for wine development |
| wine-wow64 | 20240613~wayland.1d42cf127-76.1 | An MS Windows emulator |
| wine-wow64-devel | 20240613~wayland.1d42cf127-76.1 | files for wine development |
| wml | 2.0.11-lp156.18.1 | Website META Language |
| worldcoin-qt | 0.8.6.2-lp156.7.7 | GUI for the WorldCoin crypto-currency |
| worldcoind | 0.8.6.2-lp156.7.7 | Headless daemon for worldcoin crypto-currency |
| xcfa | 5.0.2-1699.2.pm.149 | A lightweight multimedia converter and audio CD ripper |
| xcfa-debuginfo | 5.0.2-1699.2.pm.149 | Debug information for package xcfa |
| xchart | 3.8.8-2.7 | A light-weight Java library for plotting data |
| xchart-javadoc | 3.8.8-2.7 | API documentation for xchart |
| xpra-codecs-freeworld | 5.0.6-2.fc41 | Additional codecs for xpra using x264 and ffmpeg |
| xpra-codecs-freeworld-debuginfo | 5.0.6-2.fc41 | Debug information for package xpra-codecs-freeworld |
| xpra-codecs-freeworld-debugsource | 5.0.6-2.fc41 | Debug sources for package xpra-codecs-freeworld |
| xsp | 4.7.1-lp156.89.1 | Web Server Hosting ASP.NET |
| yast2-ldap | 5.0.0-2.1 | YaST2 - LDAP Agent |
| yast2-ldap | 5.0.0-2.1 | YaST2 - LDAP Agent |
| yast2-nfs-client | 5.0.1-2.1 | YaST2 - NFS Configuration |
| yast2-nfs-client | 5.0.1-1.1 | YaST2 - NFS Configuration |
| yast2-nfs-client | 5.0.1-1.1 | YaST2 - NFS Configuration |
| yast2-nfs-client | 5.0.1-1.1 | YaST2 - NFS Configuration |
| yast2-nfs-client | 5.0.1-4.3 | YaST2 - NFS Configuration |
| yast2-nfs-client | 5.0.1-2.2 | YaST2 - NFS Configuration |
| yast2-nfs-client | 5.0.1-2.4 | YaST2 - NFS Configuration |
| yast2-nfs-client | 5.0.1-1.1 | YaST2 - NFS Configuration |
| yast2-nfs-client | 5.0.1-2.4 | YaST2 - NFS Configuration |
| yast2-nfs-client | 5.0.1-1.1 | YaST2 - NFS Configuration |
| yast2-squid | 5.0.0-2.1 | Configuration of squid |
| yast2-squid | 5.0.0-2.1 | Configuration of squid |
| yast2-storage-ng | 5.0.15-1.0.2.1.sr20240605 | YaST2 - Storage Configuration |
| yast2-storage-ng | 5.0.15-1.1 | YaST2 - Storage Configuration |
| yast2-storage-ng | 5.0.15-1.1 | YaST2 - Storage Configuration |
| zfs | 2.2.1-lp156.1.14 | The ZFS file system and utilities |
| zfs-devel | 2.2.1-lp156.1.14 | Development files for the ZFS userspace utilities |
| zfs-kmp-default | 2.2.1_k6.4.0_150600.21-lp156.1.14 | The ZFS file system and utilities |
| zfs-ueficert | 2.2.1-lp156.1.14 | UEFI Secure Boot Certificate For Package zfs-kmp |
| zookeeper | 3.9.2-14.1 | A high-performance coordination service for distributed appl |
| zypp-boot-plugin | 0.0.10-1.1 | Zypp plugin for checking if a reboot is needed |
| zypp-boot-plugin | 0.0.10-1.0.2.1.sr20240605 | Zypp plugin for checking if a reboot is needed |
| zypper-formula | 2.2.1-lp155.1.1 | Salt states for managing zypper |
| zypper-formula | 2.2.1-lp156.1.1 | Salt states for managing zypper |
| zypper-formula | 2.2.1-1.1 | Salt states for managing zypper |
