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abook0.6.1-lp156.34.1Text-based addressbook program
abook-lang0.6.1-lp156.34.1Translations for package abook
alpine2.26-lp156.124.1Mail user agent
alpine-branding-openSUSE0-lp156.22.1Configuration for the Alpine mail client
alsa-ucm-conf1.2.12-3.1ALSA UCM Profiles
amavisd-milter1.7.2-lp156.5.1Sendmail milter for amavisd-new using the AM.PDP protocol
amavisd-new2.13.0-lp156.181.1High-Performance E-Mail Virus Scanner
amavisd-new-docs2.13.0-lp156.181.1Documentation for the High-Performance E-Mail Virus Scanner
appstream-qt6-devel1.0.3-slfo.1.1.1Header files for AppStream\'s Qt 6 bindings
appstream-qt6-devel1.0.3-slfo.1.1.1Header files for AppStream\'s Qt 6 bindings
autobuild2.11.0-lp156.36.1Multiple configuration build tool
bitcoin-qt527.1-1.1An end-user Qt5 GUI for the Bitcoin crypto-currency
bitcoin-qt527.1-2.15An end-user Qt5 GUI for the Bitcoin crypto-currency
bitcoin-qt527.1-2.15An end-user Qt5 GUI for the Bitcoin crypto-currency
bitcoin-qt527.1-1.1An end-user Qt5 GUI for the Bitcoin crypto-currency
bitcoin-qt527.1-crypto.74.9An end-user Qt5 GUI for the Bitcoin crypto-currency
bitcoin-qt527.1-1.1An end-user Qt5 GUI for the Bitcoin crypto-currency
bitcoin-test27.1-2.15Automated tests for bitcoin client
bitcoin-test27.1-1.1Automated tests for bitcoin client
bitcoin-test27.1-2.15Automated tests for bitcoin client
bitcoin-test27.1-1.1Automated tests for bitcoin client
bitcoin-test27.1-1.1Automated tests for bitcoin client
bitcoin-test27.1-crypto.74.9Automated tests for bitcoin client
bitcoin-utils27.1-crypto.74.9An end-user cli for the Bitcoin crypto-currency
bitcoin-utils27.1-2.15An end-user cli for the Bitcoin crypto-currency
bitcoin-utils27.1-1.1An end-user cli for the Bitcoin crypto-currency
bitcoin-utils27.1-1.1An end-user cli for the Bitcoin crypto-currency
bitcoin-utils27.1-1.1An end-user cli for the Bitcoin crypto-currency
bitcoin-utils27.1-2.15An end-user cli for the Bitcoin crypto-currency
bitcoind27.1-1.1Headless daemon for Bitcoin crypto-currency
bitcoind27.1-1.1Headless daemon for Bitcoin crypto-currency
bitcoind27.1-crypto.74.9Headless daemon for Bitcoin crypto-currency
bitcoind27.1-1.1Headless daemon for Bitcoin crypto-currency
bitcoind27.1-2.15Headless daemon for Bitcoin crypto-currency
bitcoind27.1-2.15Headless daemon for Bitcoin crypto-currency
bogofilter-common1.2.4-lp156.78.1Fast anti-spam filtering by Bayesian statistical analysis
bogofilter-db1.2.4-lp156.78.1Bogofilter libdb backend
bogofilter-doc1.2.4-lp156.78.1Bogofilter documentation
bogofilter-kyotocabinet1.2.4-lp156.78.1Bogofilter kyotocabinet backend
bogofilter-sqlite31.2.4-lp156.78.1Bogofilter sqlite3 backend
cacti-plugin-monitor2.7+git7.ge1c3fed-1.1This plugin adds a tab to visually show the Up Down Status
cacti-plugin-thold1.8.1+git13.ga06aaf3-1.1This plugin allows you to alert on down hosts and the breach
canlock3.3.0-lp156.7.1Utilities for creating and verifying Usenet cancel locks
celluloid0.27-1.1Simple GTK+ frontend for MPV
celluloid0.27-1.1Simple GTK+ frontend for MPV
celluloid0.27-31.4Simple GTK+ frontend for MPV
celluloid0.27-31.3Simple GTK+ frontend for MPV
celluloid0.27-1.1Simple GTK+ frontend for MPV
celluloid-lang0.27-1.1Translations for package celluloid
celluloid-lang0.27-1.1Translations for package celluloid
celluloid-lang0.27-1.1Translations for package celluloid
celluloid-lang0.27-31.4Translations for package celluloid
celluloid-lang0.27-1.1Translations for package celluloid
celluloid-lang0.27-1.1Translations for package celluloid
celluloid-lang0.27-31.3Translations for package celluloid
celluloid-lang0.27-31.6Translations for package celluloid
celluloid-lang0.27-31.4Translations for package celluloid
chezmoi2.49.1-1.1A multi-host manager for dotfiles
chezmoi-bash-completion2.49.1-1.1Bash completion for chezmoi
chezmoi-fish-completion2.49.1-1.1Fish completion for chezmoi
chezmoi-zsh-completion2.49.1-1.1Zsh completion for chezmoi
cinnamon-control-center-lang6.2.1-1.2Translations for package cinnamon-control-center
cinnamon-control-center-lang6.2.1-lp156.1.1Translations for package cinnamon-control-center
cinnamon-control-center-lang6.2.1-1.3Translations for package cinnamon-control-center
cinnamon-lang6.2.1-1.3Translations for package cinnamon
cinnamon-lang6.2.1-1.2Translations for package cinnamon
cinnamon-lang6.2.1-lp156.1.1Translations for package cinnamon
cinnamon-screensaver-lang6.2.1-1.3Translations for package cinnamon-screensaver
cinnamon-screensaver-lang6.2.1-lp156.1.1Translations for package cinnamon-screensaver
cinnamon-screensaver-lang6.2.1-1.2Translations for package cinnamon-screensaver
cinnamon-session-lang6.2.1-lp156.1.1Translations for package cinnamon-session
cinnamon-session-lang6.2.1-1.2Translations for package cinnamon-session
cinnamon-session-lang6.2.1-1.3Translations for package cinnamon-session
cinnamon-settings-daemon-lang6.2.1-1.2Translations for package cinnamon-settings-daemon
cinnamon-settings-daemon-lang6.2.1-1.3Translations for package cinnamon-settings-daemon
cinnamon-settings-daemon-lang6.2.1-lp156.1.1Translations for package cinnamon-settings-daemon
clamav-unofficial-sigs7.2.5-lp156.1.1ClamAV Unofficial Signatures Updater
claws-mail4.3.0-lp156.1.1A configurable email client
claws-mail-devel4.3.0-lp156.1.1Development files for claws-mail
claws-mail-lang4.3.0-lp156.1.1Translations for package claws-mail
cmake3.29.4-slfo.1.1.1Cross-platform make system
cmake3.29.4-slfo.1.1.1Cross-platform make system
cmrc2.0.1-lp156.4.1A Resource Compiler in a Single CMake Script
cmrc2.0.1-lp155.4.1A Resource Compiler in a Single CMake Script
codes_ui1.8.0-1.5Interactive application built on ecCodes to inspect GRIB 1/2
colm-devel0.14.7-lp156.33.1The Colm programming language environment
colm-doc0.14.7-lp156.33.1Documentation for the Colm programming language
combustion1.3+git9-slfo.1.1.1System for initial configuration of appliances
combustion1.3+git9-slfo.1.1.1System for initial configuration of appliances
containerd1.7.17-2.0.2.1.sr20240605Standalone OCI Container Daemon
containerd1.7.17-2.1Standalone OCI Container Daemon
containerd1.7.17-2.1Standalone OCI Container Daemon
containerd1.7.17-2.1Standalone OCI Container Daemon
containerd1.7.17-150000.114.1Standalone OCI Container Daemon
containerd-ctr1.7.17-2.1Client for containerd
containerd-ctr1.7.17-2.1Client for containerd
containerd-ctr1.7.17-2.0.2.1.sr20240605Client for containerd
containerd-ctr1.7.17-2.1Client for containerd
containerd-devel1.7.17-2.1Source code for containerd
containerd-devel1.7.17-2.1Source code for containerd
containerd-devel1.7.17-2.2Source code for containerd
containerd-devel1.7.17-2.1Source code for containerd
containerd-devel1.7.17-2.2Source code for containerd
coolmail1.3-lp156.1.1Coolmail - Mail notifier with 3d graphics
courier-authlib0.72.1-lp156.106.1Courier authentication library
courier-authlib-devel0.72.1-lp156.106.1Development libraries for the Courier authentication library
courier-authlib-ldap0.72.1-lp156.106.1LDAP support for the Courier authentication library
courier-authlib-mysql0.72.1-lp156.106.1MySQL support for the Courier authentication library
courier-authlib-pgsql0.72.1-lp156.106.1PostgreSQL support for the Courier authentication library
courier-authlib-pipe0.72.1-lp156.106.1Pipe support for the Courier authentication library
courier-authlib-sqlite0.72.1-lp156.106.1SQLite support for the Courier authentication library
courier-authlib-userdb0.72.1-lp156.106.1Userdb support for the Courier authentication library
courier-imap5.2.6-lp156.109.1An IMAP and POP3 Server for Maildir MTAs
courier-unicode-devel2.3.0-lp156.26.1Courier Unicode Library - Development files
courier-unicode-doc2.3.0-lp156.26.1Courier Unicode Library - Docs and man pages
cyradm3.8.2-lp156.1.1Administration tool for the Cyrus IMAP server
cyrus-imapd3.8.2-lp156.1.1The Cyrus IMAP and POP Mail Server
cyrus-imapd-devel3.8.2-lp156.1.1Libraries and Includes for cyrus-imapd
cyrus-imapd-snmp3.8.2-lp156.1.1SNMP support for the Cyrus IMAP and POP Mail Server
cyrus-imapd-snmp-mibs3.8.2-lp156.1.1MIBs for the Cyrus IMAP and POP Mail Server
cyrus-imapd-utils3.8.2-lp156.1.1Test tools for mail servers
cyrus2courier1.3z4-lp156.4.1Converts Cyrus-Imap into Maildir++ format
cyrus2dovecot1.2-lp156.3.1A full-featured command line tool for converting emails from
dbus-1-devel-doc1.14.10-slfo.1.1.1Developer documentation package for D-Bus
dbus-1-devel-doc1.14.10-slfo.1.1.1Developer documentation package for D-Bus
dkimproxy1.4.1-lp156.68.1DKIMproxy is an SMTP-proxy that implements the DKIM and Doma
dls1.6.1.g54c82b7-lp154.298.1Data Logging Service
dls1.6.2.g9a3da5f-lp151.297.1Data Logging Service
dls-devel1.6.2.g9a3da5f-lp151.297.1Development files for data logging service
dls-devel1.6.1.g54c82b7-lp154.298.1Development files for data logging service
dnf5-actions-snapper0.1-2.2A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.1A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.2A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.1A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.2A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.2A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.1A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.1A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.1A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.2A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.1A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.1A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.2A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.2A plugin for dnf5 to create snapper plugins
dnf5-actions-snapper0.1-2.1A plugin for dnf5 to create snapper plugins
docker26.1.4_ce-1.1The Moby-project Linux container runtime
docker26.1.4_ce-1.0.2.1.sr20240605The Moby-project Linux container runtime
docker-bash-completion26.1.4_ce-1.1Bash Completion for docker
docker-compose2.28.1-1.1Define and run multi-container applications with Docker
docker-fish-completion26.1.4_ce-1.1Fish completion for docker
docker-rootless-extras26.1.4_ce-1.1Rootless support for Docker
docker-zsh-completion26.1.4_ce-1.1Zsh Completion for docker
dovecot2.3-lp156.38.1IMAP and POP3 Server Written Primarily with Security in Mind
dovecot-sieve-antispam-rspamd0.0.2+git0.821286a-lp156.3.1Scripts and config to implement spam/ham learning via imap_s
dovecot232.3.21-lp156.128.1IMAP and POP3 Server Written Primarily with Security in Mind
dovecot23-backend-mysql2.3.21-lp156.128.1MySQL support for Dovecot
dovecot23-backend-pgsql2.3.21-lp156.128.1PostgreSQL support for Dovecot
dovecot23-backend-sqlite2.3.21-lp156.128.1SQLite support for Dovecot
dovecot23-devel2.3.21-lp156.128.1Development files for Dovecot plugins
dovecot23-fts2.3.21-lp156.128.1Fulltext search support base plugin
dovecot23-fts-flatcurve1.0.0-lp156.1.1Dovecot FTS Flatcurve plugin based on Xapian
dovecot23-fts-lucene2.3.21-lp156.128.1Fulltext search support via CLucene
dovecot23-fts-solr2.3.21-lp156.128.1Fulltext search support via solr
dovecot23-fts-squat2.3.21-lp156.128.1Fulltext search support squat plugin
drogon1.7.3-lp156.5.1A C++14/17 based HTTP web application framework
drogon-devel1.7.3-lp156.5.1Development files for drogon
dynamite0.1.1-lp155.1.4PKWARE Data Compression decompressor tool
eccodes2.36.0-1.2Library and tools to handle Grib 1/2 and BUFR files
eccodes2.36.0-1.6Library and tools to handle Grib 1/2 and BUFR files
eccodes2.36.0-1.1Library and tools to handle Grib 1/2 and BUFR files
eccodes2.36.0-2.10Library and tools to handle Grib 1/2 and BUFR files
eccodes-devel2.36.0-1.2Devel package for eccodes
eccodes-devel2.36.0-1.6Devel package for eccodes
eccodes-devel2.36.0-1.1Devel package for eccodes
eccodes-devel2.36.0-2.10Devel package for eccodes
emacs29.4-1.1GNU Emacs Base Package
emacs-color-theme6.6.0-lp155.4.8Color themes for Emacs
emacs-color-theme6.6.0-lp156.4.4Color themes for Emacs
emacs-dash2.19.1-lp155.1.9A modern list library for Emacs
emacs-dash2.19.1-lp156.1.4A modern list library for Emacs
emacs-el29.4-1.1Several Lisp Files for GNU Emacs
emacs-eln29.4-1.1GNU Emacs-nox: Emacs Lisp native compiled binary files
emacs-ghub2.0.1-lp155.1.9Minuscule client libraries for the APIs of various Git forge
emacs-ghub2.0.1-lp156.1.4Minuscule client libraries for the APIs of various Git forge
emacs-info29.4-1.1Info files for GNU Emacs
emacs-magit2.13.0-lp156.9.4Git interaction mode for emacs
emacs-magit2.13.0-lp155.9.8Git interaction mode for emacs
emacs-nox29.4-1.1GNU Emacs-nox: An Emacs Binary without X Window System Suppo
emacs-python-mode6.2.0-lp156.1.4Python mode for emacs
emacs-python-mode6.2.0-lp155.1.8Python mode for emacs
emacs-transient0.3.7-lp155.1.8A library to abstract \"transient commands\"
emacs-transient0.3.7-lp156.1.4A library to abstract \"transient commands\"
emacs-vterm698.ae4ae1a-lp156.6.3An experimental module for libvterm bindings to Emacs
emacs-vterm698.ae4ae1a-lp155.6.2An experimental module for libvterm bindings to Emacs
emacs-with-editor2.7.0-lp156.5.4Use the Emacsclient as the $EDITOR of child processes
emacs-with-editor2.7.0-lp155.5.9Use the Emacsclient as the $EDITOR of child processes
emacs-x1129.4-1.1GNU Emacs: Emacs binary with X Window System Support
emacs-yaml-mode0.0.14-lp155.2.8Simple major mode to edit YAML file for emacs
emacs-yaml-mode0.0.14-lp155.7.10Simple major mode to edit YAML file for emacs
emacs-yaml-mode0.0.14-lp156.7.4Simple major mode to edit YAML file for emacs
emacs-yaml-mode0.0.14-lp156.2.4Simple major mode to edit YAML file for emacs
email3.1.2-lp156.2.1Send Email via the Commandline
etags29.4-1.1Generate Tag Files for Use with Emacs
exim4.97.1-lp156.228.1The Exim Mail Transfer Agent, a Replacement for sendmail
eximon4.97.1-lp156.228.1Eximon, an graphical frontend to administer Exim\'s mail que
eximstats-html4.97.1-lp156.228.1Create HTML reports of exim logs
extra-cmake-modules5.115.0-slfo.1.1.1CMake modules
extra-cmake-modules5.115.0-slfo.1.1.1CMake modules
extra-cmake-modules-doc5.115.0-slfo.1.1.1CMake modules
extra-cmake-modules-doc5.115.0-slfo.1.1.1CMake modules
fdm2.0-lp156.1.1Mail Fetching, Filtering, And Delivery Program
FeatherNotes1.3.0-1.4Lightweight Qt5 Notes-Manager for Linux
FeatherNotes1.3.0-3.1Lightweight Qt6 Notes-Manager for Linux
FeatherNotes1.3.0-1.15Lightweight Qt5 Notes-Manager for Linux
FeatherNotes1.3.0-1.15Lightweight Qt5 Notes-Manager for Linux
FeatherNotes-lang1.3.0-1.4Translations for package feathernotes
FeatherNotes-lang1.3.0-1.15Translations for package feathernotes
fetchmail6.4.38-lp156.186.1Full-Featured POP and IMAP Mail Retrieval Daemon
fetchmailconf6.4.38-lp156.186.1Fetchmail Configuration Utility
flnews1.2.1-lp156.14.1Graphical USENET newsreader
fmt-9-devel9.1.0-lp156.6.1Development files for fmt, a formatting library
fmt-9-devel9.1.0-lp155.6.1Development files for fmt, a formatting library
ganglia3.7.2-50.el7Distributed Monitoring System
ganglia-devel3.7.2-50.el7Ganglia Library
ganglia-gmetad3.7.2-50.el7Ganglia Metadata collection daemon
ganglia-gmond3.7.2-50.el7Ganglia Monitoring daemon
ganglia-python2-gmond3.7.2-50.el7Ganglia Monitor daemon python DSO and metric modules
ganglia-web3.7.6-50.el7Ganglia Web Frontend
garmin-tools0-lp156.5.1Various binaries to manipulate garmin IMG format image files
garmin-tools0-lp155.5.1Various binaries to manipulate garmin IMG format image files
garmin-tools0-lp155.5.1Various binaries to manipulate garmin IMG format image files
geocode-glib3.26.4-slfo.1.3.1Convenience library for the Yahoo! Place Finder APIs
geocode-glib3.26.4-slfo.1.3.1Convenience library for the Yahoo! Place Finder APIs
geocode-glib-devel3.26.4-slfo.1.3.1Development files for geocode-glib, a library for the Yahoo
geocode-glib-devel3.26.4-slfo.1.3.1Development files for geocode-glib, a library for the Yahoo
geocode-glib-soup2-devel3.26.4-slfo.1.3.1Development files for geocode-glib, a library for the Yahoo
geocode-glib-soup2-devel3.26.4-slfo.1.3.1Development files for geocode-glib, a library for the Yahoo
getdns-devel1.7.3-lp156.8.1Development files for getdns
getdns-utils1.7.3-lp156.8.1Utilities for interacting with getdns
getmail5.14-lp156.59.1Simple, Secure and Reliable Email Retriever
getmail-doc5.14-lp156.59.1Documentation for getmail
gettext-runtime0.20.2-2.1Tools for Native Language Support (NLS)
gettext-runtime-tools-doc0.20.2-2.1HTML documentation and examples for gettext-runtime
gettext-tools0.20.2-2.1Tools for Native Language Support (NLS)
ghc-citeproc0.8.1.1-dlh.44.22Generates citations and bibliography from CSL styles
ghc-citeproc0.8.1.1-1.1Generates citations and bibliography from CSL styles
ghc-citeproc0.8.1.1-1.1Generates citations and bibliography from CSL styles
ghc-citeproc0.8.1.1-1.57Generates citations and bibliography from CSL styles
ghc-citeproc-devel0.8.1.1-1.1Haskell citeproc library development files
ghc-citeproc-devel0.8.1.1-1.57Haskell citeproc library development files
ghc-citeproc-devel0.8.1.1-dlh.44.22Haskell citeproc library development files
ghc-citeproc-devel0.8.1.1-1.1Haskell citeproc library development files
ghc-citeproc-doc0.8.1.1-dlh.44.48Haskell citeproc library documentation
ghc-citeproc-doc0.8.1.1-dlh.44.17Haskell citeproc library documentation
ghc-citeproc-doc0.8.1.1-1.57Haskell citeproc library documentation
ghc-citeproc-doc0.8.1.1-1.1Haskell citeproc library documentation
ghc-citeproc-doc0.8.1.1-dlh.44.17Haskell citeproc library documentation
ghc-citeproc-doc0.8.1.1-dlh.44.4Haskell citeproc library documentation
ghc-citeproc-doc0.8.1.1-1.2Haskell citeproc library documentation
ghc-citeproc-doc0.8.1.1-1.1Haskell citeproc library documentation
ghc-citeproc-doc0.8.1.1-1.1Haskell citeproc library documentation
ghc-citeproc-doc0.8.1.1-dlh.44.22Haskell citeproc library documentation
ghc-citeproc-prof0.8.1.1-1.1Haskell citeproc profiling library
ghc-citeproc-prof0.8.1.1-1.57Haskell citeproc profiling library
ghc-citeproc-prof0.8.1.1-1.1Haskell citeproc profiling library
ghc-citeproc-prof0.8.1.1-dlh.44.22Haskell citeproc profiling library
ghc-djot0.1.2.1-1.0.2.1.sr20240702Parser and renderer for djot light markup syntax
ghc-djot0.1.2.1-1.1Parser and renderer for djot light markup syntax
ghc-djot0.1.2.1-1.1Parser and renderer for djot light markup syntax
ghc-djot0.1.2.1-dlh.8.5Parser and renderer for djot light markup syntax
ghc-djot0.1.2.1-1.49Parser and renderer for djot light markup syntax
ghc-djot-devel0.1.2.1-1.1Haskell djot library development files
ghc-djot-devel0.1.2.1-1.0.2.1.sr20240702Haskell djot library development files
ghc-djot-devel0.1.2.1-dlh.8.5Haskell djot library development files
ghc-djot-devel0.1.2.1-1.49Haskell djot library development files
ghc-djot-devel0.1.2.1-1.1Haskell djot library development files
ghc-djot-doc0.1.2.1-1.0.2.1.sr20240702Haskell djot library documentation
ghc-djot-doc0.1.2.1-dlh.8.45Haskell djot library documentation
ghc-djot-doc0.1.2.1-1.1Haskell djot library documentation
ghc-djot-doc0.1.2.1-1.1Haskell djot library documentation
ghc-djot-doc0.1.2.1-dlh.8.6Haskell djot library documentation
ghc-djot-doc0.1.2.1-dlh.8.5Haskell djot library documentation
ghc-djot-doc0.1.2.1-dlh.8.6Haskell djot library documentation
ghc-djot-doc0.1.2.1-1.49Haskell djot library documentation
ghc-djot-doc0.1.2.1-1.1Haskell djot library documentation
ghc-djot-doc0.1.2.1-dlh.8.3Haskell djot library documentation
ghc-djot-doc0.1.2.1-1.1Haskell djot library documentation
ghc-djot-prof0.1.2.1-1.0.2.1.sr20240702Haskell djot profiling library
ghc-djot-prof0.1.2.1-1.1Haskell djot profiling library
ghc-djot-prof0.1.2.1-1.1Haskell djot profiling library
ghc-djot-prof0.1.2.1-dlh.8.5Haskell djot profiling library
ghc-djot-prof0.1.2.1-1.49Haskell djot profiling library
ghc-hashable1.4.7.0-1.1A class for types that can be converted to a hash value
ghc-hashable1.4.7.0-dlh.110.6A class for types that can be converted to a hash value
ghc-hashable1.4.7.0-1.0.2.1.sr20240702A class for types that can be converted to a hash value
ghc-hashable1.4.7.0-1.50A class for types that can be converted to a hash value
ghc-hashable1.4.7.0-1.1A class for types that can be converted to a hash value
ghc-hashable-devel1.4.7.0-dlh.110.6Haskell hashable library development files
ghc-hashable-devel1.4.7.0-1.1Haskell hashable library development files
ghc-hashable-devel1.4.7.0-1.50Haskell hashable library development files
ghc-hashable-devel1.4.7.0-1.0.2.1.sr20240702Haskell hashable library development files
ghc-hashable-devel1.4.7.0-1.1Haskell hashable library development files
ghc-hashable-doc1.4.7.0-1.1Haskell hashable library documentation
ghc-hashable-doc1.4.7.0-1.50Haskell hashable library documentation
ghc-hashable-doc1.4.7.0-1.1Haskell hashable library documentation
ghc-hashable-doc1.4.7.0-1.1Haskell hashable library documentation
ghc-hashable-doc1.4.7.0-1.0.2.1.sr20240702Haskell hashable library documentation
ghc-hashable-doc1.4.7.0-dlh.110.2Haskell hashable library documentation
ghc-hashable-doc1.4.7.0-dlh.110.6Haskell hashable library documentation
ghc-hashable-doc1.4.7.0-dlh.110.47Haskell hashable library documentation
ghc-hashable-doc1.4.7.0-1.1Haskell hashable library documentation
ghc-hashable-doc1.4.7.0-dlh.110.6Haskell hashable library documentation
ghc-hashable-doc1.4.7.0-dlh.110.6Haskell hashable library documentation
ghc-hashable-prof1.4.7.0-1.50Haskell hashable profiling library
ghc-hashable-prof1.4.7.0-1.0.2.1.sr20240702Haskell hashable profiling library
ghc-hashable-prof1.4.7.0-1.1Haskell hashable profiling library
ghc-hashable-prof1.4.7.0-dlh.110.6Haskell hashable profiling library
ghc-hashable-prof1.4.7.0-1.1Haskell hashable profiling library
ghc-pandoc3.2.1-1.1Conversion between markup formats
ghc-pandoc-devel3.2.1-1.1Haskell pandoc library development files
ghc-pandoc-doc3.2.1-1.1Haskell pandoc library documentation
ghc-pandoc-lua-engine0.3-1.1Lua engine to power custom pandoc conversions
ghc-pandoc-lua-engine-devel0.3-1.1Haskell pandoc-lua-engine library development files
ghc-pandoc-lua-engine-doc0.3-1.1Haskell pandoc-lua-engine library documentation
ghc-pandoc-lua-engine-prof0.3-1.1Haskell pandoc-lua-engine profiling library
ghc-pandoc-prof3.2.1-1.1Haskell pandoc profiling library
ghc-skylighting0.14.2-1.2Syntax Highlighting Library
ghc-skylighting0.14.2-1.1Syntax Highlighting Library
ghc-skylighting0.14.2-1.2Syntax Highlighting Library
ghc-skylighting0.14.2-dlh.106.8Syntax Highlighting Library
ghc-skylighting-core0.14.2-1.2Syntax Highlighting Library
ghc-skylighting-core0.14.2-1.2Syntax Highlighting Library
ghc-skylighting-core0.14.2-1.1Syntax Highlighting Library
ghc-skylighting-core0.14.2-dlh.91.7Syntax Highlighting Library
ghc-skylighting-core-devel0.14.2-1.2Haskell skylighting-core library development files
ghc-skylighting-core-devel0.14.2-dlh.91.7Haskell skylighting-core library development files
ghc-skylighting-core-devel0.14.2-1.2Haskell skylighting-core library development files
ghc-skylighting-core-devel0.14.2-1.1Haskell skylighting-core library development files
ghc-skylighting-core-doc0.14.2-dlh.91.7Haskell skylighting-core library documentation
ghc-skylighting-core-doc0.14.2-dlh.91.3Haskell skylighting-core library documentation
ghc-skylighting-core-doc0.14.2-1.2Haskell skylighting-core library documentation
ghc-skylighting-core-doc0.14.2-dlh.91.7Haskell skylighting-core library documentation
ghc-skylighting-core-doc0.14.2-dlh.91.55Haskell skylighting-core library documentation
ghc-skylighting-core-doc0.14.2-1.3Haskell skylighting-core library documentation
ghc-skylighting-core-doc0.14.2-1.2Haskell skylighting-core library documentation
ghc-skylighting-core-doc0.14.2-dlh.91.5Haskell skylighting-core library documentation
ghc-skylighting-core-doc0.14.2-1.1Haskell skylighting-core library documentation
ghc-skylighting-core-doc0.14.2-1.2Haskell skylighting-core library documentation
ghc-skylighting-core-prof0.14.2-1.2Haskell skylighting-core profiling library
ghc-skylighting-core-prof0.14.2-1.1Haskell skylighting-core profiling library
ghc-skylighting-core-prof0.14.2-1.2Haskell skylighting-core profiling library
ghc-skylighting-core-prof0.14.2-dlh.91.7Haskell skylighting-core profiling library
ghc-skylighting-devel0.14.2-1.1Haskell skylighting library development files
ghc-skylighting-devel0.14.2-dlh.106.8Haskell skylighting library development files
ghc-skylighting-devel0.14.2-1.2Haskell skylighting library development files
ghc-skylighting-devel0.14.2-1.2Haskell skylighting library development files
ghc-skylighting-doc0.14.2-1.1Haskell skylighting library documentation
ghc-skylighting-doc0.14.2-dlh.106.8Haskell skylighting library documentation
ghc-skylighting-doc0.14.2-1.2Haskell skylighting library documentation
ghc-skylighting-doc0.14.2-dlh.106.4Haskell skylighting library documentation
ghc-skylighting-doc0.14.2-dlh.106.9Haskell skylighting library documentation
ghc-skylighting-doc0.14.2-1.3Haskell skylighting library documentation
ghc-skylighting-doc0.14.2-1.2Haskell skylighting library documentation
ghc-skylighting-doc0.14.2-dlh.106.7Haskell skylighting library documentation
ghc-skylighting-doc0.14.2-1.2Haskell skylighting library documentation
ghc-skylighting-doc0.14.2-dlh.106.56Haskell skylighting library documentation
ghc-skylighting-prof0.14.2-dlh.106.8Haskell skylighting profiling library
ghc-skylighting-prof0.14.2-1.2Haskell skylighting profiling library
ghc-skylighting-prof0.14.2-1.1Haskell skylighting profiling library
ghc-skylighting-prof0.14.2-1.2Haskell skylighting profiling library
ghc-typst0.5.0.4-1.1Parsing and evaluating typst syntax
ghc-typst-devel0.5.0.4-1.1Haskell typst library development files
ghc-typst-doc0.5.0.4-1.1Haskell typst library documentation
ghc-typst-prof0.5.0.4-1.1Haskell typst profiling library
gio-branding-openSUSE42.1-slfo.1.3.1openSUSE definitions of default settings and applications
gio-branding-openSUSE42.1-slfo.1.3.1openSUSE definitions of default settings and applications
git-merge-changeloggit.20211127.db493d1ce-lp156.6.1Git merge driver for ChangeLog files
glab1.43.0-1.1A GitLab command line tool
glab-bash-completion1.43.0-1.1Bash completion for glab
glab-doc1.43.0-1.1Documentation for GLab
glab-fish-completion1.43.0-1.1Fish completion for glab
glab-zsh-completion1.43.0-1.1Zsh completion for glab
gld1.7-lp156.4.1GreyList Daemon for Postfix (MySQL backend)
glib2-doc2.80.3-slfo.1.1.1General-Purpose Utility Library
glib2-doc2.80.3-slfo.1.1.1General-Purpose Utility Library
glibmm2_4-devel2.66.6-slfo.1.2.2C++ interface for glib
glibmm2_4-devel2.66.6-slfo.1.2.2C++ interface for glib
gnome-getting-started-docs3.38.1-slfo.1.1.1Getting started with GNOME - Documentation
gnome-getting-started-docs3.38.1-slfo.1.1.1Getting started with GNOME - Documentation
gnome-getting-started-docs-lang3.38.1-slfo.1.1.1Translations for package gnome-getting-started-docs
gnome-getting-started-docs-lang3.38.1-slfo.1.1.1Translations for package gnome-getting-started-docs
gnome-menus3.36.0-slfo.1.4.1The GNOME Desktop Menu
gnome-menus3.36.0-slfo.1.4.1The GNOME Desktop Menu
gnome-menus-branding-upstream3.36.0-slfo.1.4.1The GNOME Desktop Menu -- Upstream Menus Definitions
gnome-menus-branding-upstream3.36.0-slfo.1.4.1The GNOME Desktop Menu -- Upstream Menus Definitions
gnome-menus-devel3.36.0-slfo.1.4.1The GNOME Desktop Menu
gnome-menus-devel3.36.0-slfo.1.4.1The GNOME Desktop Menu
gnome-menus-lang3.36.0-slfo.1.4.1Translations for package gnome-menus
gnome-menus-lang3.36.0-slfo.1.4.1Translations for package gnome-menus
gnulib-develgit.20211127.db493d1ce-6.1Devel files of gnulib
gnulib-develgit.20211127.db493d1ce-lp156.6.1Devel files of gnulib
gnulib-docsgit.20211127.db493d1ce-6.1Documentation for gnulib modules
gnulib-docsgit.20211127.db493d1ce-lp156.6.1Documentation for gnulib modules
grommunio-admin-api1.15.0.0f5b1bb-lp156.2.1Backend for grommunio management
grommunio-admin-api-bash-completion1.15.0.0f5b1bb-lp156.2.1Shell completion for admin-api
grommunio-cui1.0.238.094875f-lp156.2.1Console welcome screen for the grommunio Appliance
grommunio-dav1.2.0.9976bca-lp156.1.1CalDAV and CardDAV implementation for grommunio
grommunio-error-pages1.0.6.9c50afb-lp156.1.1Grommunio-branded error pages for web servers
grommunio-sync1.1.59-lp156.1.1An implementation of Exchange ActiveSync protocol
grub-customizer5.2.5-11.2Grub Customizer is a graphical interface to configure the gr
grub-customizer5.2.5-11.2Grub Customizer is a graphical interface to configure the gr
grub-customizer5.2.5-1.3Grub Customizer is a graphical interface to configure the gr
grub-customizer5.2.5-1.2Grub Customizer is a graphical interface to configure the gr
grub-customizer-lang5.2.5-11.2Translations for package grub-customizer
grub-customizer-lang5.2.5-1.2Translations for package grub-customizer
grub-customizer-lang5.2.5-11.2Translations for package grub-customizer
grub-customizer-lang5.2.5-11.2Translations for package grub-customizer
grub-customizer-lang5.2.5-11.2Translations for package grub-customizer
grub-customizer-lang5.2.5-1.3Translations for package grub-customizer
grub-customizer-lang5.2.5-11.2Translations for package grub-customizer
gsettings-desktop-schemas46.0-slfo.1.1.1Shared GSettings Schemas for the Desktop
gsettings-desktop-schemas46.0-slfo.1.1.1Shared GSettings Schemas for the Desktop
gsettings-desktop-schemas-devel46.0-slfo.1.1.1Shared GSettings Schemas for the Desktop -- Development File
gsettings-desktop-schemas-devel46.0-slfo.1.1.1Shared GSettings Schemas for the Desktop -- Development File
gsettings-desktop-schemas-lang46.0-slfo.1.1.1Translations for package gsettings-desktop-schemas
gsettings-desktop-schemas-lang46.0-slfo.1.1.1Translations for package gsettings-desktop-schemas
gtk2-branding-openSUSE15.0-slfo.1.3.1The GTK+ toolkit library (version 2) -- openSUSE theme confi
gtk2-branding-openSUSE15.0-slfo.1.3.1The GTK+ toolkit library (version 2) -- openSUSE theme confi
guile-commonmark0.1.2-lp156.3.1A library for parsing CommonMark, a fully specified variant
guile-commonmark0.1.2-lp154.3.1A library for parsing CommonMark, a fully specified variant
guile-commonmark0.1.2-3.5A library for parsing CommonMark, a fully specified variant
guile-commonmark0.1.2-lp155.3.1A library for parsing CommonMark, a fully specified variant
guile-commonmark0.1.2-3.7A library for parsing CommonMark, a fully specified variant
guile-commonmark0.1.2-3.7A library for parsing CommonMark, a fully specified variant
guile-commonmark0.1.2-3.5A library for parsing CommonMark, a fully specified variant
hashcash1.22-lp156.4.1Anti-spam / denial-of-service counter-measure tool
hyperscan-devel5.4.0-lp155.19.1Libraries and header files for the hyperscan library
hyperscan-devel5.4.0-lp156.19.1Libraries and header files for the hyperscan library
hypnotix4.5-1.3An M3U IPTV Player
hypnotix4.5-1.2An M3U IPTV Player
hypnotix4.5-lp156.1.1An M3U IPTV Player
idzebra2.2.7-Virt.150400.45.3Fielded Free Text Engine with a Z39.50 Frontend
idzebra-devel2.2.7-Virt.150400.45.3Fielded Free Text Engine with a Z39.50 Frontend
idzebra-doc2.2.7-Virt.150400.45.3Documentation for the idzebra Package
imap-utils0.4-lp156.1.1Utilities for Managing IMAP Emails
imapfilter2.8.2-lp156.67.1a mail filtering utility
imapsync2.229-lp156.2.1IMAP synchronisation, sync, copy or migration tool
intel-igc5.10.214-3.1.xcpng8.3Intel igc device drivers
intel-igc5.10.214-3.1.xcpng8.3Intel igc device drivers
intel-igc5.10.214-3.1.xcpng8.3Intel igc device drivers
intel-igc-debuginfo5.10.214-3.1.xcpng8.3Debug information for package intel-igc
isync1.4.4-lp156.27.1Utility to synchronize IMAP mailboxes with local maildir fol
jellyfin-media-player1.11.1-lp155.1.1The Jellyfin Desktop Client
jellyfin-media-player1.11.1-lp156.1.1The Jellyfin Desktop Client
jellyfin-media-player1.11.1-6.15The Jellyfin Desktop Client
jellyfin-media-player1.11.1-1.8The Jellyfin Desktop Client
jellyfin-media-player1.11.1-1.8The Jellyfin Desktop Client
jellyfin-media-player1.11.1-2.6The Jellyfin Desktop Client
kbfs6.2.8-bp155.2.3.1Encrypted remote storage based on Keybase identities
kbfs6.2.8-bp156.2.3.1Encrypted remote storage based on Keybase identities
kbfs6.2.8-bp155.2.3.1Encrypted remote storage based on Keybase identities
kbfs6.2.8-bp156.2.3.1Encrypted remote storage based on Keybase identities
kbfs-git6.2.8-bp156.2.3.1Git remote helper for repositories stored on Keybase
kbfs-git6.2.8-bp156.2.3.1Git remote helper for repositories stored on Keybase
kbfs-git6.2.8-bp155.2.3.1Git remote helper for repositories stored on Keybase
kbfs-git6.2.8-bp155.2.3.1Git remote helper for repositories stored on Keybase
kbfs-tool6.2.8-bp155.2.3.1Keybase Filesystem command line utility
kbfs-tool6.2.8-bp155.2.3.1Keybase Filesystem command line utility
kbfs-tool6.2.8-bp156.2.3.1Keybase Filesystem command line utility
kbfs-tool6.2.8-bp156.2.3.1Keybase Filesystem command line utility
kelbt0.16-lp156.9.1Backtracking LALR(1) parser generator
kernel4.19.19-8.0.34.2.xcpng8.3The Linux Kernel
kernel-debuginfo4.19.19-8.0.34.2.xcpng8.3Debug information for package kernel
kernel-devel4.19.19-8.0.34.2.xcpng8.3Development package for building kernel modules to match the
kernel-headers4.19.19-8.0.34.2.xcpng8.3Header files for the Linux kernel for use by glibc
kernel-lp-devel_4.19.19_8.0.34.2.xcpng8.34.19.19-8.0.34.2.xcpng8.3Development package for building livepatches
keybase-client6.2.8-bp156.2.3.1Keybase command line client
keybase-client6.2.8-bp155.2.3.1Keybase command line client
keybase-client6.2.8-bp155.2.3.1Keybase command line client
keybase-client6.2.8-bp156.2.3.1Keybase command line client
kf6-extra-cmake-modules6.3.0-slfo.1.1.1CMake modules
kf6-extra-cmake-modules6.3.0-slfo.1.1.1CMake modules
kf6-extra-cmake-modules-doc6.3.0-slfo.1.1.1CMake modules
kf6-extra-cmake-modules-doc6.3.0-slfo.1.1.1CMake modules
kf6-filesystem20240131-slfo.1.1.1RPM macros for KDE packages using Qt6
kf6-filesystem20240131-slfo.1.1.1RPM macros for KDE packages using Qt6
Komikku1.49.0-1.1A manga reader for GNOME
Komikku-lang1.49.0-1.1Translations for package Komikku
kubearmor-client1.2.3-1.1KubeArmor cli tool aka kArmor
kubearmor-client1.2.3-1.1KubeArmor cli tool aka kArmor
kubearmor-client1.2.3-46.11KubeArmor cli tool aka kArmor
kubearmor-client1.2.3-1.0.2.1.sr20240605KubeArmor cli tool aka kArmor
kubearmor-client1.2.3-21.11KubeArmor cli tool aka kArmor
kubearmor-client1.2.3-1.1KubeArmor cli tool aka kArmor
kubearmor-client-bash-completion1.2.3-21.12Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-21.12Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-21.11Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-1.1Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-1.1Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-46.12Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-21.12Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-46.12Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-46.11Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-1.1Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-46.12Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-1.1Bash Completion for kubearmor-client
kubearmor-client-bash-completion1.2.3-1.1Bash Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-21.12Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-46.12Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-21.12Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-46.11Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-1.1Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-21.12Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-1.1Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-46.12Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-46.12Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-1.1Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-1.1Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-21.11Fish Completion for kubearmor-client
kubearmor-client-fish-completion1.2.3-1.1Fish Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-21.12Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-21.11Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-1.1Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-1.1Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-1.1Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-46.12Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-21.12Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-46.12Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-21.12Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-46.12Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-1.1Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-1.1Zsh Completion for kubearmor-client
kubearmor-client-zsh-completion1.2.3-46.11Zsh Completion for kubearmor-client
libapparmor-devel4.0.1-slfo.1.1.1Development headers and libraries for libapparmor
libapparmor-devel4.0.1-slfo.1.1.1Development headers and libraries for libapparmor
libapparmor14.0.1-slfo.1.1.1Utility library for AppArmor
libapparmor14.0.1-slfo.1.1.1Utility library for AppArmor
libappindicator-devel12.10.1~bzr20200706.298-slfo.1.3.2Development files for libappindicator
libappindicator-devel12.10.1~bzr20200706.298-slfo.1.3.2Development files for libappindicator
libappindicator112.10.1~bzr20200706.298-slfo.1.3.2Application indicators library
libappindicator112.10.1~bzr20200706.298-slfo.1.3.2Application indicators library
libAppStreamQt31.0.3-slfo.1.1.1Qt 6 bindings for AppStream
libAppStreamQt31.0.3-slfo.1.1.1Qt 6 bindings for AppStream
libbitcoinconsensus-devel27.1-crypto.74.9Developmont files for bitcoin consensus library
libbitcoinconsensus-devel27.1-1.1Developmont files for bitcoin consensus library
libbitcoinconsensus-devel27.1-1.1Developmont files for bitcoin consensus library
libbitcoinconsensus-devel27.1-1.1Developmont files for bitcoin consensus library
libbitcoinconsensus-devel27.1-2.15Developmont files for bitcoin consensus library
libbitcoinconsensus-devel27.1-2.15Developmont files for bitcoin consensus library
libbitcoinconsensus027.1-2.15Bitcoin consensus library
libbitcoinconsensus027.1-1.1Bitcoin consensus library
libbitcoinconsensus027.1-1.1Bitcoin consensus library
libbitcoinconsensus027.1-1.1Bitcoin consensus library
libbitcoinconsensus027.1-crypto.74.9Bitcoin consensus library
libbitcoinconsensus027.1-2.15Bitcoin consensus library
libbsd-ctor-static0.11.7-lp156.29.1Development headers and files for libbsd
libbsd-devel0.11.7-lp156.29.1Development headers and files for libbsd
libbsd00.11.7-lp156.29.1Library with functions commonly found on BSD systems
libcanlock-devel3.3.0-lp156.7.1Development files for Usenet cancel lock library
libcanlock33.3.0-lp156.7.1Library for creating and verifying Usenet cancel locks
libcolm-0_14_70.14.7-lp156.33.1The Colm programming language runtime
libcontainers-common20240618-6.2Configuration files common to github.com/containers
libcontainers-common20240618-18.1Configuration files common to github.com/containers
libcontainers-common20240618-4.2Configuration files common to github.com/containers
libcontainers-common20240618-2.1Configuration files common to github.com/containers
libcontainers-common20240618-2.1Configuration files common to github.com/containers
libcontainers-common20240618-18.1Configuration files common to github.com/containers
libcontainers-common20240618-6.2Configuration files common to github.com/containers
libcontainers-common20240618-2.1Configuration files common to github.com/containers
libcontainers-common20240618-4.2Configuration files common to github.com/containers
libcontainers-common20240618-4.2Configuration files common to github.com/containers
libcontainers-common20240618-2.1Configuration files common to github.com/containers
libcontainers-common20240618-2.1Configuration files common to github.com/containers
libcontainers-common20240618-3.1Configuration files common to github.com/containers
libcontainers-common20240618-4.2Configuration files common to github.com/containers
libcontainers-common20240618-5.2Configuration files common to github.com/containers
libcontainers-default-policy20240618-2.1Default containers policy.json
libcontainers-default-policy20240618-2.1Default containers policy.json
libcontainers-default-policy20240618-2.1Default containers policy.json
libcontainers-default-policy20240618-5.2Default containers policy.json
libcontainers-default-policy20240618-3.1Default containers policy.json
libcontainers-default-policy20240618-18.1Default containers policy.json
libcontainers-default-policy20240618-2.1Default containers policy.json
libcontainers-default-policy20240618-4.2Default containers policy.json
libcontainers-default-policy20240618-18.1Default containers policy.json
libcontainers-default-policy20240618-6.2Default containers policy.json
libcontainers-default-policy20240618-4.2Default containers policy.json
libcontainers-default-policy20240618-4.2Default containers policy.json
libcontainers-default-policy20240618-2.1Default containers policy.json
libcontainers-default-policy20240618-6.2Default containers policy.json
libcontainers-default-policy20240618-4.2Default containers policy.json
libcontainers-openSUSE-policy20240618-4.2Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-18.1Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-4.2Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-2.1Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-4.2Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-3.1Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-4.2Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-2.1Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-2.1Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-5.2Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-2.1Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-6.2Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-6.2Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-18.1Policy to enforce image verification for SLE BCI
libcontainers-openSUSE-policy20240618-2.1Policy to enforce image verification for SLE BCI
libcontainers-sles-mounts20240618-4.2Default mounts for SLE distributions
libcontainers-sles-mounts20240618-4.2Default mounts for SLE distributions
libcontainers-sles-mounts20240618-4.2Default mounts for SLE distributions
libcontainers-sles-mounts20240618-4.2Default mounts for SLE distributions
libcontainers-sles-mounts20240618-6.2Default mounts for SLE distributions
libcontainers-sles-mounts20240618-2.1Default mounts for SLE distributions
libcontainers-sles-mounts20240618-2.1Default mounts for SLE distributions
libcontainers-sles-mounts20240618-2.1Default mounts for SLE distributions
libcontainers-sles-mounts20240618-5.2Default mounts for SLE distributions
libcontainers-sles-mounts20240618-18.1Default mounts for SLE distributions
libcontainers-sles-mounts20240618-18.1Default mounts for SLE distributions
libcontainers-sles-mounts20240618-3.1Default mounts for SLE distributions
libcontainers-sles-mounts20240618-2.1Default mounts for SLE distributions
libcontainers-sles-mounts20240618-2.1Default mounts for SLE distributions
libcontainers-sles-mounts20240618-6.2Default mounts for SLE distributions
libcourier-unicode82.3.0-lp156.26.1Courier Unicode Library
libcyrus03.8.2-lp156.1.1Cyrus IMAP shared libraries
libdrogon11.7.3-lp156.5.1Shared libraries for drogon
libdynamite-devel0.1.1-lp155.1.4Header files, libraries and development documentation for li
libdynamite00.1.1-lp155.1.4PKWARE Data Compression decompressor shared library
libetpan-devel1.9.4-lp156.37.1Development files for libetpan, a mail handling library
libetpan201.9.4-lp156.37.1Mail handling library
libexmdbpp-devel1.11.0.58baa16-lp156.11.1Development files for libexmdbpp
libexmdbpp01.11.0.58baa16-lp156.11.1A C++ implementation of the exmdb wire protocol
libfann-devel2.2.0-lp156.11.1Development package for fann, an artificial neural network l
libfann22.2.0-lp156.11.1Fast artificial neural network library
libfmt99.1.0-lp156.6.1A formatting library for C++
libfmt99.1.0-lp155.6.1A formatting library for C++
libfsm-0_14_70.14.7-lp156.33.1The Colm programming language runtime
libgarmin-devel0-lp155.5.1Development files for libgarmin
libgarmin-devel0-lp155.5.1Development files for libgarmin
libgarmin-devel0-lp156.5.1Development files for libgarmin
libgarmin00-lp156.5.1C library to parse and use Garmin image files
libgarmin00-lp155.5.1C library to parse and use Garmin image files
libgarmin00-lp155.5.1C library to parse and use Garmin image files
libgbm-devel24.1.2-1699.385.pm.1Development files for the EGL API
libgbm-devel-32bit24.1.2-1699.385.pm.1Development files for the EGL API
libgbm124.1.2-1699.385.pm.1Generic buffer management API
libgbm1-32bit24.1.2-1699.385.pm.1Generic buffer management API
libgbm1-32bit-debuginfo24.1.2-1699.385.pm.1Debug information for package libgbm1
libgbm1-debuginfo24.1.2-1699.385.pm.1Debug information for package libgbm1
libgee-0_8-20.20.6-slfo.1.3.3GObject-based library providing commonly used data structure
libgee-0_8-20.20.6-slfo.1.3.3GObject-based library providing commonly used data structure
libgee-devel0.20.6-slfo.1.3.3Development files for libgee
libgee-devel0.20.6-slfo.1.3.3Development files for libgee
libgeocode-glib-2-03.26.4-slfo.1.3.1Convenience library for the Yahoo! Place Finder APIs
libgeocode-glib-2-03.26.4-slfo.1.3.1Convenience library for the Yahoo! Place Finder APIs
libgeocode-glib03.26.4-slfo.1.3.1Convenience library for the Yahoo! Place Finder APIs
libgeocode-glib03.26.4-slfo.1.3.1Convenience library for the Yahoo! Place Finder APIs
libgetdns101.7.3-lp156.8.1A modern asynchronous DNS API
libgiomm-2_4-12.66.6-slfo.1.2.2C++ Interface for Gio
libgiomm-2_4-12.66.6-slfo.1.2.2C++ Interface for Gio
libglade-2_0-02.6.4-slfo.1.1.2Glade Library Compatible with the GNOME 2.x Desktop Platform
libglade-2_0-02.6.4-slfo.1.1.2Glade Library Compatible with the GNOME 2.x Desktop Platform
libglade2-devel2.6.4-slfo.1.1.2Include Files and Libraries mandatory for Development
libglade2-devel2.6.4-slfo.1.1.2Include Files and Libraries mandatory for Development
libglade2-doc2.6.4-slfo.1.1.2Documentation for the Glade library
libglade2-doc2.6.4-slfo.1.1.2Documentation for the Glade library
libglibmm-2_4-12.66.6-slfo.1.2.2C++ interface for glib
libglibmm-2_4-12.66.6-slfo.1.2.2C++ interface for glib
libgnome-menu-3-03.36.0-slfo.1.4.1The GNOME Desktop Menu
libgnome-menu-3-03.36.0-slfo.1.4.1The GNOME Desktop Menu
libhogweed63.10-lp156.2.1Cryptographic Library for Public Key Algorithms
libhogweed63.10-lp155.2.1Cryptographic Library for Public Key Algorithms
libhogweed63.10-lp154.2.1Cryptographic Library for Public Key Algorithms
libhogweed63.10-lp154.1.1Cryptographic Library for Public Key Algorithms
libhogweed63.10-lp153.1.1Cryptographic Library for Public Key Algorithms
libhs55.4.0-lp155.19.1Regular expression matching library
libhs55.4.0-lp156.19.1Regular expression matching library
libkdsoapwsdiscoveryclient-devel0.2-lp156.39.1Qt based WS-Discovery client library based on KDSoap - devel
libkdsoapwsdiscoveryclient00.2-lp156.39.1Qt based WS-Discovery client library based on KDSoap
liblzma55.6.2-2.1Lempel–Ziv–Markov chain algorithm compression library
libmlt++-7-77.24.0-1.2C++ library API for the MLT multimedia framework
libmlt++-7-77.24.0-1.1C++ library API for the MLT multimedia framework
libmlt-7-77.24.0-1.2C library API for the MLT multimedia framework
libmlt-7-77.24.0-1.1C library API for the MLT multimedia framework
libmlt-devel7.24.0-1.2Development files for MLT\'s C and C++ language API
libmlt-devel7.24.0-1.1Development files for MLT\'s C and C++ language API
libmlt7-data7.24.0-1.2Architecture-independent data files for the MLT multimedia f
libmlt7-data7.24.0-1.1Architecture-independent data files for the MLT multimedia f
libmlt7-data7.24.0-1.3Architecture-independent data files for the MLT multimedia f
libmlt7-module-qt67.24.0-1.2Qt 6 module for the MLT multimedia framework
libmlt7-module-qt67.24.0-1.1Qt 6 module for the MLT multimedia framework
libmlt7-modules7.24.0-1.2Modules for the MLT multimedia framework
libmlt7-modules7.24.0-1.1Modules for the MLT multimedia framework
libmsgpack-c26.0.2-1.0.2.1.sr20240605Object serialization library for cross-language communicatio
libmsgpack-c26.0.2-1.1Object serialization library for cross-language communicatio
libmsgpack-c26.0.2-1.1Object serialization library for cross-language communicatio
libnettle-devel3.10-lp154.1.1Cryptographic library
libnettle-devel3.10-lp155.2.1Cryptographic library
libnettle-devel3.10-lp153.1.1Cryptographic library
libnettle-devel3.10-lp154.2.1Cryptographic library
libnettle-devel3.10-lp156.2.1Cryptographic library
libnettle83.10-lp156.2.1Cryptographic library
libnettle83.10-lp153.1.1Cryptographic library
libnettle83.10-lp154.2.1Cryptographic library
libnettle83.10-lp154.1.1Cryptographic library
libnettle83.10-lp155.2.1Cryptographic library
libnm01.48.2-1.1Convenience library for clients of NetworkManager
libnm0-32bit1.48.2-1.1Convenience library for clients of NetworkManager
libopendkim112.11.0-lp156.36.1Library for performing DKIM signing and verification
libopendmarc-devel1.4.2-lp156.16.1Development files for libopendmarc
libopendmarc21.4.2-lp156.16.1An open source DMARC library
libopus-devel1.5.2-lp156.59.1Opus Audio Codec Library Development Environment
libopus-devel1.5.2-lp155.59.1Opus Audio Codec Library Development Environment
libopus01.5.2-lp155.59.1Opus Audio Codec Library
libopus01.5.2-lp156.59.1Opus Audio Codec Library
libopus0-static1.5.2-lp156.59.1Opus Audio Codec Library
libopus0-static1.5.2-lp155.59.1Opus Audio Codec Library
liborange-devel0.4-lp155.17.5Header files, libraries and development documentation for li
liborange00.4-lp155.17.5Library to extract CAB files from self-extracting installers
libOSMesa-devel24.1.2-1699.385.pm.1Development files for the Mesa Offscreen Rendering extension
libOSMesa-devel-32bit24.1.2-1699.385.pm.1Development files for the Mesa Offscreen Rendering extension
libOSMesa824.1.2-1699.385.pm.1Mesa Off-screen rendering extension
libOSMesa8-32bit24.1.2-1699.385.pm.1Mesa Off-screen rendering extension
libOSMesa8-32bit-debuginfo24.1.2-1699.385.pm.1Debug information for package libOSMesa8
libOSMesa8-debuginfo24.1.2-1699.385.pm.1Debug information for package libOSMesa8
libpangomm-1_4-12.46.4-slfo.1.1.1C++ interface for pango
libpangomm-1_4-12.46.4-slfo.1.1.1C++ interface for pango
libphonenumber-devel8.13.30-slfo.1.1.4Library for parsing, formatting, and validating internationa
libphonenumber-devel8.13.30-slfo.1.1.4Library for parsing, formatting, and validating internationa
libphonenumber88.13.30-slfo.1.1.4Library for parsing, formatting, and validating internationa
libphonenumber88.13.30-slfo.1.1.4Library for parsing, formatting, and validating internationa
libprometheus-cpp0_120.12.3-lp156.6.1Shared libraries for prometheus-cpp
libqca-qt5-22.3.9-2.11QCA library
libqca-qt5-22.3.9-1.1QCA library
libqca-qt5-22.3.9-2.11QCA library
libqca-qt5-22.3.9-33.11QCA library
libqca-qt5-22.3.9-ku.2.11QCA library
libqca-qt5-22.3.9-1.1QCA library
libqca-qt5-22.3.9-2.11QCA library
libqca-qt5-22.3.9-2.4QCA library
libqca-qt5-22.3.9-ku.2.11QCA library
libqca-qt5-22.3.9-1.1QCA library
libqca-qt5-22.3.9-2.11QCA library
libqca-qt5-22.3.9-2.4QCA library
libqca-qt5-22.3.9-33.11QCA library
libqca-qt6-22.3.9-2.4QCA library
libqca-qt6-22.3.9-2.4QCA library
libqca-qt6-22.3.9-ku.2.12QCA library
libqca-qt6-22.3.9-2.12QCA library
libqca-qt6-22.3.9-ku.2.12QCA library
libqca-qt6-22.3.9-34.6QCA library
libqca-qt6-22.3.9-33.12QCA library
libqca-qt6-22.3.9-33.12QCA library
libqca-qt6-22.3.9-1.1QCA library
libqca-qt6-22.3.9-1.1QCA library
libqca-qt6-22.3.9-2.12QCA library
libqca-qt6-22.3.9-1.1QCA library
libqt5-qtbase-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API
libQt5Core-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 core library
libQt5DBus-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 D-Bus library
libQt5Gui-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 GUI library
libQt5KmsSupport-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 KMS support libr
libQt5Network-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 network library
libQt5OpenGL-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 OpenGL library
libQt5PlatformSupport-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 platform suppor
libQt5PrintSupport-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 print support li
libQt5Sql-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 SQL library
libQt5Test-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 test library
libQt5Widgets-private-headers-devel5.15.14+kde140-lp152.2.1Non-ABI stable experimental API for the Qt5 widgets library
libQt6Concurrent66.6.2-lp155.3.2Qt 6 Concurrent library
libQt6Concurrent66.6.2-lp156.3.1Qt 6 Concurrent library
libQt6Core66.6.2-lp156.3.1Qt 6 Core library
libQt6Core66.6.2-lp155.3.2Qt 6 Core library
libQt6DBus66.6.2-lp156.3.1Qt6 D-Bus library
libQt6DBus66.6.2-lp155.3.2Qt6 D-Bus library
libQt6Designer66.6.2-lp155.3.1Qt 6 Designer library
libQt6Designer66.6.2-lp156.3.1Qt 6 Designer library
libQt6DesignerComponents66.6.2-lp156.3.1Qt 6 DesignerComponents library
libQt6DesignerComponents66.6.2-lp155.3.1Qt 6 DesignerComponents library
libQt6Grpc66.7.2-2.1Qt 6 Grpc library
libQt6Grpc66.7.2-2.2Qt 6 Grpc library
libQt6Grpc66.7.2-2.1Qt 6 Grpc library
libQt6Gui66.6.2-lp156.3.1Qt 6 GUI related libraries
libQt6Gui66.6.2-lp155.3.2Qt 6 GUI related libraries
libQt6Help66.6.2-lp155.3.1Qt 6 Help library
libQt6Help66.6.2-lp156.3.1Qt 6 Help library
libQt6JsonRpc66.6.2-lp155.5.1JsonRpc 2.0 protocol implementation
libQt6JsonRpc66.6.2-lp156.5.1JsonRpc 2.0 protocol implementation
libQt6LabsAnimation66.6.2-lp155.2.1Qt 6 LabsAnimation library
libQt6LabsAnimation66.6.2-lp156.2.1Qt 6 LabsAnimation library
libQt6LabsFolderListModel66.6.2-lp155.2.1Qt 6 LabsFolderListModel library
libQt6LabsFolderListModel66.6.2-lp156.2.1Qt 6 LabsFolderListModel library
libQt6LabsQmlModels66.6.2-lp156.2.1Qt 6 LabsQmlModels library
libQt6LabsQmlModels66.6.2-lp155.2.1Qt 6 LabsQmlModels library
libQt6LabsSettings66.6.2-lp156.2.1Qt 6 LabsSettings library
libQt6LabsSettings66.6.2-lp155.2.1Qt 6 LabsSettings library
libQt6LabsSharedImage66.6.2-lp156.2.1Qt 6 LabsSharedImage library
libQt6LabsSharedImage66.6.2-lp155.2.1Qt 6 LabsSharedImage library
libQt6LabsWavefrontMesh66.6.2-lp156.2.1Qt 6 LabsWavefrontMesh library
libQt6LabsWavefrontMesh66.6.2-lp155.2.1Qt 6 LabsWavefrontMesh library
libQt6LanguageServer66.6.2-lp156.5.1LSP implementation for Qt6
libQt6LanguageServer66.6.2-lp155.5.1LSP implementation for Qt6
libQt6Network66.6.2-lp156.3.1Qt 6 Network library
libQt6Network66.6.2-lp155.3.2Qt 6 Network library
libQt6OpenGL66.6.2-lp156.3.1Qt 6 OpenGL library
libQt6OpenGL66.6.2-lp155.3.2Qt 6 OpenGL library
libQt6OpenGLWidgets66.6.2-lp155.3.2Qt 6 OpenGLWidgets library
libQt6OpenGLWidgets66.6.2-lp156.3.1Qt 6 OpenGLWidgets library
libQt6PrintSupport66.6.2-lp156.3.1Qt 6 PrintSupport library
libQt6PrintSupport66.6.2-lp155.3.2Qt 6 PrintSupport library
libQt6Protobuf66.7.2-2.2Qt 6 Protobuf library
libQt6Protobuf66.7.2-2.1Qt 6 Protobuf library
libQt6Protobuf66.7.2-2.1Qt 6 Protobuf library
libQt6Qml66.6.2-lp155.2.1Qt 6 Qml library
libQt6Qml66.6.2-lp156.2.1Qt 6 Qml library
libQt6QmlCompiler66.6.2-lp155.2.1Qt6 QmlCompiler Library
libQt6QmlCompiler66.6.2-lp156.2.1Qt6 QmlCompiler Library
libQt6QmlCore66.6.2-lp155.2.1Qt 6 QmlCore library
libQt6QmlCore66.6.2-lp156.2.1Qt 6 QmlCore library
libQt6QmlLocalStorage66.6.2-lp155.2.1Qt 6 QmlLocalStorage library
libQt6QmlLocalStorage66.6.2-lp156.2.1Qt 6 QmlLocalStorage library
libQt6QmlModels66.6.2-lp155.2.1Qt 6 QmlModels library
libQt6QmlModels66.6.2-lp156.2.1Qt 6 QmlModels library
libQt6QmlWorkerScript66.6.2-lp155.2.1Qt 6 QmlWorkScript library
libQt6QmlWorkerScript66.6.2-lp156.2.1Qt 6 QmlWorkScript library
libQt6QmlXmlListModel66.6.2-lp156.2.1Qt 6 QmlXmlListModel library
libQt6QmlXmlListModel66.6.2-lp155.2.1Qt 6 QmlXmlListModel library
libQt6Quick66.6.2-lp155.2.1Qt 6 Quick library
libQt6Quick66.6.2-lp156.2.1Qt 6 Quick library
libQt6QuickControls2-66.6.2-lp156.2.1Qt 6 QuickControls2 library
libQt6QuickControls2-66.6.2-lp155.2.1Qt 6 QuickControls2 library
libQt6QuickControls2Impl66.6.2-lp156.2.1Qt 6 QuickControls2Impl library
libQt6QuickControls2Impl66.6.2-lp155.2.1Qt 6 QuickControls2Impl library
libQt6QuickDialogs2-66.6.2-lp156.2.1Qt 6 QuickDialogs2 library
libQt6QuickDialogs2-66.6.2-lp155.2.1Qt 6 QuickDialogs2 library
libQt6QuickDialogs2QuickImpl66.6.2-lp155.2.1Qt 6 QuickDialogs2Impl library
libQt6QuickDialogs2QuickImpl66.6.2-lp156.2.1Qt 6 QuickDialogs2Impl library
libQt6QuickDialogs2Utils66.6.2-lp156.2.1Qt 6 QuickDialogs2Utils library
libQt6QuickDialogs2Utils66.6.2-lp155.2.1Qt 6 QuickDialogs2Utils library
libQt6QuickEffects66.6.2-lp156.2.1Qt 6 QuickEffects library
libQt6QuickEffects66.6.2-lp155.2.1Qt 6 QuickEffects library
libQt6QuickLayouts66.6.2-lp156.2.1Qt 6 QuickLayouts library
libQt6QuickLayouts66.6.2-lp155.2.1Qt 6 QuickLayouts library
libQt6QuickParticles66.6.2-lp155.2.1Qt 6 QuickParticles library
libQt6QuickParticles66.6.2-lp156.2.1Qt 6 QuickParticles library
libQt6QuickShapes66.6.2-lp155.2.1Qt 6 QuickShapes library
libQt6QuickShapes66.6.2-lp156.2.1Qt 6 QuickShapes library
libQt6QuickTemplates2-66.6.2-lp156.2.1Qt 6 QuickTemplates2 library
libQt6QuickTemplates2-66.6.2-lp155.2.1Qt 6 QuickTemplates2 library
libQt6QuickTest66.6.2-lp156.2.1Qt 6 QuickTest library
libQt6QuickTest66.6.2-lp155.2.1Qt 6 QuickTest library
libQt6QuickWidgets66.6.2-lp155.2.1Qt 6 QuickWidgets library
libQt6QuickWidgets66.6.2-lp156.2.1Qt 6 QuickWidgets library
libQt6ShaderTools66.6.2-lp156.2.1Qt 6 ShaderTools library
libQt6ShaderTools66.6.2-lp155.2.1Qt 6 ShaderTools library
libQt6Sql66.6.2-lp156.3.1Qt 6 SQL related library
libQt6Sql66.6.2-lp155.3.2Qt 6 SQL related library
libQt6Svg66.6.2-lp155.2.1Qt 6 Svg library
libQt6Svg66.6.2-lp156.2.1Qt 6 Svg library
libQt6SvgWidgets66.6.2-lp156.2.1Qt 6 SVGWidgets library
libQt6SvgWidgets66.6.2-lp155.2.1Qt 6 SVGWidgets library
libQt6Test66.6.2-lp155.3.2Qt 6 Test library
libQt6Test66.6.2-lp156.3.1Qt 6 Test library
libQt6UiTools66.6.2-lp155.3.1Qt 6 UiTools library
libQt6UiTools66.6.2-lp156.3.1Qt 6 UiTools library
libQt6Widgets66.6.2-lp155.3.2Qt 6 Widgets library
libQt6Widgets66.6.2-lp156.3.1Qt 6 Widgets library
libQt6Xml66.6.2-lp156.3.1Qt 6 XML library
libQt6Xml66.6.2-lp155.3.2Qt 6 XML library
librbl12.11.0-lp156.36.1Realtime Blacklist (RBL) service library
librepute12.11.0-lp156.36.1Library for performing REPUTE queries for spammy domains
libreswan4.12-2.el9_4.1Internet Key Exchange (IKEv1 and IKEv2) implementation for I
libreswan4.12-2.el9_4.1Internet Key Exchange (IKEv1 and IKEv2) implementation for I
libreswan4.12-2.el9_4.1Internet Key Exchange (IKEv1 and IKEv2) implementation for I
libreswan4.12-2.el9_4.1Internet Key Exchange (IKEv1 and IKEv2) implementation for I
librfc2045-03.1.6-lp156.2.1Library for RFC2045 MIME Extension Handling
librfc2045-devel3.1.6-lp156.2.1Library for RFC2045 MIME Extension Handling
librfc822-03.1.6-lp156.2.1Library for RFC822 ARPA Internet Message Handling
librfc822-devel3.1.6-lp156.2.1Library for RFC822 ARPA Internet Message Handling
libsemanage-conf3.6-slfo.1.1.1Configuration for the SELinux policy management library
libsemanage-conf3.6-slfo.1.1.1Configuration for the SELinux policy management library
libsemanage-devel3.6-slfo.1.1.1Header files and libraries for SELinux\'s policy management
libsemanage-devel3.6-slfo.1.1.1Header files and libraries for SELinux\'s policy management
libsemanage-devel-static3.6-slfo.1.1.1Static archives for SELinux\'s policy management library
libsemanage-devel-static3.6-slfo.1.1.1Static archives for SELinux\'s policy management library
libsemanage-migrate-store3.6-slfo.1.1.1SELinux Policy Store Migration
libsemanage-migrate-store3.6-slfo.1.1.1SELinux Policy Store Migration
libsemanage23.6-slfo.1.1.1SELinux policy management library
libsemanage23.6-slfo.1.1.1SELinux policy management library
libsieve-devel2.2.7-lp156.2.1A library for parsing, sorting and filtering your mail
libsieve12.2.7-lp156.2.1A library for parsing, sorting and filtering your mail
libspf2-21.2.11-lp156.28.1An implementation of the SPF specification
libspf2-apidocs1.2.11-lp156.28.1API documentation for the libspf2 library
libspf2-devel1.2.11-lp156.28.1Development files for libspf
libspf2-tools1.2.11-lp156.28.1Programs for making SPF queries using libspf2
libsubid-devel4.16.0-2.1Development files for libsubid5
libsubid-devel4.16.0-1.1Development files for libsubid5
libsubid-devel4.16.0-2.1Development files for libsubid5
libsubid-devel4.16.0-1.1Development files for libsubid5
libsubid-devel4.16.0-4.1Development files for libsubid5
libsubid54.16.0-1.1A library to manage subordinate uid and gid ranges
libsubid54.16.0-1.1A library to manage subordinate uid and gid ranges
libsubid54.16.0-2.1A library to manage subordinate uid and gid ranges
libsubid54.16.0-4.1A library to manage subordinate uid and gid ranges
libsubid54.16.0-2.1A library to manage subordinate uid and gid ranges
libsystemd0255.7-3.1Component library for systemd
libsystemd0255.7-3.0.4.1.sr20240605Component library for systemd
libsystemd0-32bit255.7-3.1Component library for systemd
libsystemd0-mini255.7-3.1Component library for systemd
libsystemd0-mini255.7-3.0.4.1.sr20240605Component library for systemd
libtextstyle-devel0.20.2-2.1Devel package for libtextstyle
libtextstyle00.20.2-2.1Provides textstyling for console output
libtotem-plparser-mini183.26.6-slfo.1.3.2Mini version of the Totem playlist parser library
libtotem-plparser-mini183.26.6-slfo.1.3.2Mini version of the Totem playlist parser library
libtotem-plparser183.26.6-slfo.1.3.2A GObject-based library to parse playlist formats
libtotem-plparser183.26.6-slfo.1.3.2A GObject-based library to parse playlist formats
libtrantor11.7.3-lp156.5.1Shared libraries for drogon
libudev-mini1255.7-3.0.4.1.sr20240605Dynamic library to access udev device information
libudev-mini1255.7-3.1Dynamic library to access udev device information
libudev1255.7-3.0.4.1.sr20240605Dynamic library to access udev device information
libudev1255.7-3.1Dynamic library to access udev device information
libudev1-32bit255.7-3.1Dynamic library to access udev device information
libut12.11.0-lp156.36.1Library for assisting in URI construction from templates
libvanessa_adt10.0.9-lp156.3.1Shared libraries for Abstract Data Types
libvanessa_logger00.0.10-lp156.4.1Shared libraries for Generic logging layer
libvanessa_socket20.0.12-lp156.4.1Shared libraries for simplifying TCP/IP socket operations
libvbr22.11.0-lp156.36.1Library for assisting in Vouch By Refence functions
libvmime-devel0.9.2+g203-lp156.22.1Development files for vmime, an e-mail message library
libvmime-suse80.9.2+g203-lp156.22.1Library for working with MIME messages and IMAP/POP/SMTP
libvulkan11.3.283.0-slfo.1.1.1The Vulkan 3D graphics and compute API
libvulkan11.3.283.0-slfo.1.1.1The Vulkan 3D graphics and compute API
libxapp-devel2.8.4-lp156.1.1Development files of libxapp
libxapp-devel2.8.4-1.7Development files of libxapp
libxapp-devel2.8.4-1.7Development files of libxapp
libxapp-devel2.8.4-1.3Development files of libxapp
libxapp12.8.4-lp156.1.1XApp library
libxapp12.8.4-1.7XApp library
libxapp12.8.4-1.3XApp library
libxapp12.8.4-1.7XApp library
libxcb-composite01.17.0-slfo.1.1.1X11 Composite Extension C library
libxcb-composite01.17.0-slfo.1.1.1X11 Composite Extension C library
libxcb-damage01.17.0-slfo.1.1.1X11 Damage Extension C library
libxcb-damage01.17.0-slfo.1.1.1X11 Damage Extension C library
libxcb-dbe01.17.0-slfo.1.1.1X11 Dbe Extension C library
libxcb-dbe01.17.0-slfo.1.1.1X11 Dbe Extension C library
libxcb-devel1.17.0-slfo.1.1.1Development files for the X11 protocol C library
libxcb-devel1.17.0-slfo.1.1.1Development files for the X11 protocol C library
libxcb-devel-doc1.17.0-slfo.1.1.1Documentation for libxcb
libxcb-devel-doc1.17.0-slfo.1.1.1Documentation for libxcb
libxcb-dpms01.17.0-slfo.1.1.1X11 DPMS Extension C library
libxcb-dpms01.17.0-slfo.1.1.1X11 DPMS Extension C library
libxcb-dri2-01.17.0-slfo.1.1.1X11 DRI2 Extension C library
libxcb-dri2-01.17.0-slfo.1.1.1X11 DRI2 Extension C library
libxcb-dri3-01.17.0-slfo.1.1.1X11 DRI3 Extension C library
libxcb-dri3-01.17.0-slfo.1.1.1X11 DRI3 Extension C library
libxcb-glx01.17.0-slfo.1.1.1X11 GLX Extension C library
libxcb-glx01.17.0-slfo.1.1.1X11 GLX Extension C library
libxcb-present01.17.0-slfo.1.1.1X11 Present Extension C library
libxcb-present01.17.0-slfo.1.1.1X11 Present Extension C library
libxcb-randr01.17.0-slfo.1.1.1X11 RandR Extension C library
libxcb-randr01.17.0-slfo.1.1.1X11 RandR Extension C library
libxcb-record01.17.0-slfo.1.1.1X11 RECORD Extension C library
libxcb-record01.17.0-slfo.1.1.1X11 RECORD Extension C library
libxcb-render01.17.0-slfo.1.1.1X11 Render Extension C library
libxcb-render01.17.0-slfo.1.1.1X11 Render Extension C library
libxcb-res01.17.0-slfo.1.1.1X11 Resource Extension C library
libxcb-res01.17.0-slfo.1.1.1X11 Resource Extension C library
libxcb-screensaver01.17.0-slfo.1.1.1X11 ScreenSaver Extension C library
libxcb-screensaver01.17.0-slfo.1.1.1X11 ScreenSaver Extension C library
libxcb-shape01.17.0-slfo.1.1.1X11 Shape Extension C library
libxcb-shape01.17.0-slfo.1.1.1X11 Shape Extension C library
libxcb-shm01.17.0-slfo.1.1.1X11 Shared Memory Extension C library
libxcb-shm01.17.0-slfo.1.1.1X11 Shared Memory Extension C library
libxcb-sync11.17.0-slfo.1.1.1X11 Sync Extension C library
libxcb-sync11.17.0-slfo.1.1.1X11 Sync Extension C library
libxcb-xf86dri01.17.0-slfo.1.1.1X11 XFree86-DRI Extension C library
libxcb-xf86dri01.17.0-slfo.1.1.1X11 XFree86-DRI Extension C library
libxcb-xfixes01.17.0-slfo.1.1.1X11 Xfixes Extension C library
libxcb-xfixes01.17.0-slfo.1.1.1X11 Xfixes Extension C library
libxcb-xinerama01.17.0-slfo.1.1.1X11 Xinerama Extension C library
libxcb-xinerama01.17.0-slfo.1.1.1X11 Xinerama Extension C library
libxcb-xinput01.17.0-slfo.1.1.1X11 XInput Extension C library
libxcb-xinput01.17.0-slfo.1.1.1X11 XInput Extension C library
libxcb-xkb11.17.0-slfo.1.1.1X11 Keyboard Extension C library
libxcb-xkb11.17.0-slfo.1.1.1X11 Keyboard Extension C library
libxcb-xtest01.17.0-slfo.1.1.1X11 XTEST Extension C library
libxcb-xtest01.17.0-slfo.1.1.1X11 XTEST Extension C library
libxcb-xv01.17.0-slfo.1.1.1X11 video Extension C library
libxcb-xv01.17.0-slfo.1.1.1X11 video Extension C library
libxcb-xvmc01.17.0-slfo.1.1.1X11 Video Motion Compensation Extension C library
libxcb-xvmc01.17.0-slfo.1.1.1X11 Video Motion Compensation Extension C library
libxcb11.17.0-slfo.1.1.1X11 core protocol C library
libxcb11.17.0-slfo.1.1.1X11 core protocol C library
libxklavier-devel5.4-slfo.1.3.2Development files for libxklavier
libxklavier-devel5.4-slfo.1.3.2Development files for libxklavier
libxklavier-doc5.4-slfo.1.3.2Additional Package Documentation for libxklavier
libxklavier-doc5.4-slfo.1.3.2Additional Package Documentation for libxklavier
libxklavier165.4-slfo.1.3.2Library with X keyboard related functions
libxklavier165.4-slfo.1.3.2Library with X keyboard related functions
libxls-devel1.6.2-lp156.17.1Header files for libxls
libxls-tools1.6.2-lp156.17.1Utility for Parsing Excel (XLS) Files
libxlsreader81.6.2-lp156.17.1Library for Parsing Excel (XLS) Files
libxreaderdocument34.2.1-1.6X-Apps Document Reader -- System Library
libxreaderdocument34.2.1-1.6X-Apps Document Reader -- System Library
libxreaderdocument34.2.1-lp156.1.1X-Apps Document Reader -- System Library
libxreaderdocument34.2.1-1.2X-Apps Document Reader -- System Library
libxreaderview34.2.1-1.2X-Apps Document Reader -- System Library
libxreaderview34.2.1-1.6X-Apps Document Reader -- System Library
libxreaderview34.2.1-1.6X-Apps Document Reader -- System Library
libxreaderview34.2.1-lp156.1.1X-Apps Document Reader -- System Library
libyaz-devel5.34.1-lp156.148.1Headers for the Z39.50 protocol library
libyaz-devel5.34.1-lp155.148.1Headers for the Z39.50 protocol library
libyaz-devel5.34.1-lp154.148.1Headers for the Z39.50 protocol library
libyaz55.34.1-lp155.148.1Z39.50 protocol library
libyaz55.34.1-lp156.148.1Z39.50 protocol library
libyaz55.34.1-lp154.148.1Z39.50 protocol library
libyuv-devel20230517+a377993-lp156.24.1Development files for the YUV scaling and conversion library
libyuv-devel20230517+a377993-lp155.24.1Development files for the YUV scaling and conversion library
libyuv-tools20230517+a377993-lp156.24.1Command line utilities from libyuv
libyuv-tools20230517+a377993-lp155.24.1Command line utilities from libyuv
libyuv020230517+a377993-lp156.24.1YUV scaling and conversion library
libyuv020230517+a377993-lp155.24.1YUV scaling and conversion library
libyuv0-static20230517+a377993-lp156.24.1YUV scaling and conversion library
libyuv0-static20230517+a377993-lp155.24.1YUV scaling and conversion library
lightdm-slick-greeter2.0.5-2.2The slick-looking login screen application
lightdm-slick-greeter2.0.5-1.6The slick-looking login screen application
lightdm-slick-greeter2.0.5-2.1The slick-looking login screen application
lightdm-slick-greeter2.0.5-1.2The slick-looking login screen application
lightdm-slick-greeter2.0.5-1.6The slick-looking login screen application
lightdm-slick-greeter2.0.5-lp156.1.1The slick-looking login screen application
lightdm-slick-greeter-branding-openSUSE1.0-lp156.2.1openSUSE branding of lightdm-slick-greeter
lightdm-slick-greeter-branding-upstream2.0.5-1.6Upstream branding of lightdm-slick-greeter
lightdm-slick-greeter-branding-upstream2.0.5-2.1Upstream branding of lightdm-slick-greeter
lightdm-slick-greeter-branding-upstream2.0.5-1.2Upstream branding of lightdm-slick-greeter
lightdm-slick-greeter-branding-upstream2.0.5-2.2Upstream branding of lightdm-slick-greeter
lightdm-slick-greeter-branding-upstream2.0.5-lp156.1.1Upstream branding of lightdm-slick-greeter
lightdm-slick-greeter-lang2.0.5-lp156.1.1Translations for package slick-greeter
lightdm-slick-greeter-lang2.0.5-2.1Translations for package lightdm-slick-greeter
lightdm-slick-greeter-lang2.0.5-2.2Translations for package lightdm-slick-greeter
lightdm-slick-greeter-lang2.0.5-1.2Translations for package lightdm-slick-greeter
lightdm-slick-greeter-lang2.0.5-1.6Translations for package lightdm-slick-greeter
live-add-yast-repos1.0-slfo.1.1.1A script to add the repos from control.xml to the system
live-add-yast-repos1.0-slfo.1.1.1A script to add the repos from control.xml to the system
login_defs4.16.0-2.1The login.defs configuration file
login_defs4.16.0-1.1The login.defs configuration file
login_defs4.16.0-2.1The login.defs configuration file
login_defs4.16.0-1.1The login.defs configuration file
login_defs4.16.0-4.1The login.defs configuration file
Magics4.15.4-1.2Library and tools to visualize meteorological data and stati
Magics-devel4.15.4-1.2Developing package for Magics
MailChariot1.2-lp156.2.1Spam Classifier Helper
maildirproc0.5.0-lp156.1.1Rule based Maildir Mail Box Processor
maildrop3.1.6-lp156.2.1The mail filter/mail delivery agent from the Courier Mail su
maildrop-devel3.1.6-lp156.2.1Development files for maildrop
maildrop-doc3.1.6-lp156.2.1Additional maildrop Documentation
maildrop-maildirutils3.1.6-lp156.2.1Utilities used by maildrop
mailprocessing1.2.7-lp156.9.1Maildir and IMAP processor/filter using Python 3x as its con
mairix0.24-lp156.25.1A maildir indexer and searcher
mapi-header-php1.3.0.a04f1af-lp156.16.1Common PHP MAPI header files for grommunio
mash13.12.0-150500.13.2Public Cloud Release Tool
mcds1.6-lp156.3.1Mutt Carddav search program
melt7.24.0-1.2Multimedia framework for television broadcasting
melt7.24.0-1.1Multimedia framework for television broadcasting
Mesa24.1.2-1699.385.pm.1System for rendering 3-D graphics
Mesa-32bit24.1.2-1699.385.pm.1System for rendering 3-D graphics
Mesa-debugsource24.1.2-1699.385.pm.1Debug sources for package Mesa
Mesa-devel24.1.2-1699.385.pm.1Libraries, includes and more to develop Mesa applications
Mesa-dri-devel24.1.2-1699.385.pm.1Development files for the DRI API
mesa-dri-drivers23.3.3-1.el9.alma.1Mesa-based DRI drivers
mesa-dri-drivers23.3.3-1.el9.alma.1Mesa-based DRI drivers
mesa-filesystem23.3.3-1.el9.alma.1Mesa driver filesystem
mesa-filesystem23.3.3-1.el9.alma.1Mesa driver filesystem
Mesa-KHR-devel24.1.2-1699.385.pm.1Mesa Khronos development headers
mesa-libEGL23.3.3-1.el9.alma.1Mesa libEGL runtime libraries
mesa-libEGL23.3.3-1.el9.alma.1Mesa libEGL runtime libraries
mesa-libEGL-devel23.3.3-1.el9.alma.1Mesa libEGL development package
Mesa-libEGL-devel24.1.2-1699.385.pm.1Development files for the EGL API
mesa-libEGL-devel23.3.3-1.el9.alma.1Mesa libEGL development package
Mesa-libEGL-devel-32bit24.1.2-1699.385.pm.1Development files for the EGL API
Mesa-libEGL124.1.2-1699.385.pm.1EGL API implementation
Mesa-libEGL1-32bit24.1.2-1699.385.pm.1EGL API implementation
Mesa-libEGL1-32bit-debuginfo24.1.2-1699.385.pm.1Debug information for package Mesa-libEGL1
Mesa-libEGL1-debuginfo24.1.2-1699.385.pm.1Debug information for package Mesa-libEGL1
mesa-libgbm23.3.3-1.el9.alma.1Mesa gbm runtime library
mesa-libgbm23.3.3-1.el9.alma.1Mesa gbm runtime library
mesa-libgbm-devel23.3.3-1.el9.alma.1Mesa libgbm development package
mesa-libgbm-devel23.3.3-1.el9.alma.1Mesa libgbm development package
mesa-libGL23.3.3-1.el9.alma.1Mesa libGL runtime libraries
mesa-libGL23.3.3-1.el9.alma.1Mesa libGL runtime libraries
mesa-libGL-devel23.3.3-1.el9.alma.1Mesa libGL development package
mesa-libGL-devel23.3.3-1.el9.alma.1Mesa libGL development package
Mesa-libGL-devel24.1.2-1699.385.pm.1GL/GLX development files of the OpenGL API
Mesa-libGL-devel-32bit24.1.2-1699.385.pm.1GL/GLX development files of the OpenGL API
Mesa-libGL124.1.2-1699.385.pm.1The GL/GLX runtime of the Mesa 3D graphics library
Mesa-libGL1-32bit24.1.2-1699.385.pm.1The GL/GLX runtime of the Mesa 3D graphics library
Mesa-libGL1-32bit-debuginfo24.1.2-1699.385.pm.1Debug information for package Mesa-libGL1
Mesa-libGL1-debuginfo24.1.2-1699.385.pm.1Debug information for package Mesa-libGL1
mesa-libglapi23.3.3-1.el9.alma.1Mesa shared glapi
mesa-libglapi23.3.3-1.el9.alma.1Mesa shared glapi
Mesa-libglapi-devel24.1.2-1699.385.pm.1Development files for the Mesa GL API implementation
Mesa-libglapi-devel-32bit24.1.2-1699.385.pm.1Development files for the Mesa GL API implementation
Mesa-libglapi024.1.2-1699.385.pm.1Free implementation of the GL API
Mesa-libglapi0-32bit24.1.2-1699.385.pm.1Free implementation of the GL API
Mesa-libglapi0-32bit-debuginfo24.1.2-1699.385.pm.1Debug information for package Mesa-libglapi0
Mesa-libglapi0-debuginfo24.1.2-1699.385.pm.1Debug information for package Mesa-libglapi0
Mesa-libGLESv1_CM-devel24.1.2-1699.385.pm.1Development files for the OpenGL ES 1.x API
Mesa-libGLESv1_CM-devel-32bit24.1.2-1699.385.pm.1Development files for the OpenGL ES 1.x API
Mesa-libGLESv2-devel24.1.2-1699.385.pm.1Development files for the OpenGL ES 2.x API
Mesa-libGLESv2-devel-32bit24.1.2-1699.385.pm.1Development files for the OpenGL ES 2.x API
Mesa-libGLESv3-devel24.1.2-1699.385.pm.1Development files for the OpenGL ES 3.x API
mesa-libOSMesa23.3.3-1.el9.alma.1Mesa offscreen rendering libraries
mesa-libOSMesa23.3.3-1.el9.alma.1Mesa offscreen rendering libraries
mesa-libOSMesa-devel23.3.3-1.el9.alma.1Mesa offscreen rendering development package
mesa-libOSMesa-devel23.3.3-1.el9.alma.1Mesa offscreen rendering development package
mesa-libxatracker23.3.3-1.el9.alma.1Mesa XA state tracker
mesa-libxatracker23.3.3-1.el9.alma.1Mesa XA state tracker
mesa-libxatracker-devel23.3.3-1.el9.alma.1Mesa XA state tracker development package
mesa-vdpau-drivers23.3.3-1.el9.alma.1Mesa-based VDPAU drivers
mesa-vulkan-drivers23.3.3-1.el9.alma.1Mesa Vulkan drivers
mesa-vulkan-drivers23.3.3-1.el9.alma.1Mesa Vulkan drivers
metamail2.7.19-lp156.2541.1MIME Mail Handler
MHonArc2.6.19-lp156.3.1An e-mail-to-HTML converter
miltertest1.6.0-lp156.36.1Milter unit test utility
minetest-VoxeLibre0.87.2-lp156.1.1An unofficial Minecraft-like game for Minetest
minetest-VoxeLibre0.87.2-1.3An unofficial Minecraft-like game for Minetest
minetest-VoxeLibre0.87.2-1.2An unofficial Minecraft-like game for Minetest
mingw32-qt6-base-docs-html6.6.2-lp155.2.1Documentation for qt6-base in HTML format
mingw32-qt6-base-docs-qch6.6.2-lp155.2.1Documentation for qt6-base in QCH format
mingw32-qt6-declarative-docs-html6.6.2-lp155.3.1Documentation for qt6-declarative in HTML format
mingw32-qt6-declarative-docs-qch6.6.2-lp155.3.1Documentation for qt6-declarative in QCH format
mingw32-qt6-imageformats-docs-debug6.6.2-lp155.2.1Debug information for package mingw32-qt6-imageformats-docs
mingw32-qt6-imageformats-docs-html6.6.2-lp155.2.1Documentation for qt6-imageformats in HTML format
mingw32-qt6-imageformats-docs-qch6.6.2-lp155.2.1Documentation for qt6-imageformats in QCH format
mingw32-qt6-shadertools-docs-html6.6.2-lp155.2.1Documentation for qt6-shadertools in HTML format
mingw32-qt6-shadertools-docs-qch6.6.2-lp155.2.1Documentation for qt6-shadertools in QCH format
mingw32-qt6-svg-docs-html6.6.2-lp155.2.1Documentation for qt6-svg in HTML format
mingw32-qt6-svg-docs-qch6.6.2-lp155.2.1Documentation for qt6-svg in QCH format
mingw32-qt6-tools-docs-debug6.6.2-lp155.2.1Debug information for package mingw32-qt6-tools-docs
mingw32-qt6-tools-docs-html6.6.2-lp155.2.1Documentation for qt6-tools in HTML format
mingw32-qt6-tools-docs-qch6.6.2-lp155.2.1Documentation for qt6-tools in QCH format
mingw32-qt6-translations6.6.2-lp155.2.1Qt 6 Translations
mingw32-qt6-translations-debug6.6.2-lp155.2.1Debug information for package mingw32-qt6-translations
mlmmj1.3.0-lp156.40.1Mail Server Independent Reimplementation of the EZMLM Mailin
mlmmj-webarchiver1.0.0-lp156.3.1Web archiver for mlmmj
mosh1.4.0-150500.55.1The mobile shell
mpop1.4.18-lp156.12.1Lightweight and featureful POP3 Client
mpop-doc1.4.18-lp156.12.1Documentation for mpop
msfetch0.5-lp156.2.1MS Exchange Mail Retrieval Utility
msgpack-c-devel6.0.2-1.0.2.1.sr20240605Development headers for libmsgpack C library
msgpack-c-devel6.0.2-1.1Development headers for libmsgpack C library
msgpack-c-devel6.0.2-1.1Development headers for libmsgpack C library
mutt2.2.13-lp156.286.1Mail Program
mutt-doc2.2.13-lp156.286.1Additional Documentation about Mutt
mutt-lang2.2.13-lp156.286.1Languages for Mutt
muttprint0.73-lp156.2.1Pretty printing of mails with Mutt
muttprint-lang0.73-lp156.2.1Translations for muttprint
mysql-tuning-scripts2.5.2-lp155.4.1MySQL tuning scripts
mysql-tuning-scripts2.5.2-4.2MySQL tuning scripts
mysql-tuning-scripts2.5.2-2.1MySQL tuning scripts
mysql-tuning-scripts2.5.2-2.1MySQL tuning scripts
mysql-tuning-scripts2.5.2-2.4MySQL tuning scripts
mysql-tuning-scripts2.5.2-4.1MySQL tuning scripts
mysql-tuning-scripts2.5.2-2.3MySQL tuning scripts
mysql-tuning-scripts2.5.2-lp156.2.1MySQL tuning scripts
mysql-tuning-scripts2.5.2-lp155.2.1MySQL tuning scripts
mysql-tuning-scripts2.5.2-lp156.4.1MySQL tuning scripts
nemo-extensions-lang6.2.1-1.2Translations for nemo-extensions packages
nemo-extensions-lang6.2.1-1.3Translations for nemo-extensions packages
nemo-extensions-lang6.2.1-lp156.1.1Translations for nemo-extensions packages
nemo-lang6.2.1-lp156.1.1Translations for package nemo
nemo-lang6.2.1-1.2Translations for package nemo
nemo-lang6.2.1-1.3Translations for package nemo
nettle3.10-lp154.1.1Cryptographic Tools
nettle3.10-lp154.2.1Cryptographic Tools
nettle3.10-lp153.1.1Cryptographic Tools
nettle3.10-lp156.2.1Cryptographic Tools
nettle3.10-lp155.2.1Cryptographic Tools
NetworkManager1.48.2-1.1Standard Linux network configuration tool suite
NetworkManager-applet-openvpn1.12.0-2.3NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-2.3NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-210.7NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-153.3NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-1.1NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-1.1NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-210.2NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-153.6NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-152.6NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-154.9NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-154.9NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-152.6NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-1.1NetworkManager VPN Support for openvpn
NetworkManager-applet-openvpn1.12.0-210.7NetworkManager VPN Support for openvpn
NetworkManager-bluetooth1.48.2-1.1Bluetooth device plugin for NetworkManager
NetworkManager-branding-upstream1.48.2-1.1Default upstream configuration for NetworkManager
NetworkManager-cloud-setup1.48.2-1.1Automatically configure NetworkManager in cloud
NetworkManager-devel1.48.2-1.1Libraries and headers for adding NetworkManager support to a
NetworkManager-devel-32bit1.48.2-1.1Libraries and headers for adding NetworkManager support to a
NetworkManager-lang1.48.2-1.1Translations for package NetworkManager
NetworkManager-openvpn1.12.0-210.7NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-152.6NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-2.3NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-1.1NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-154.9NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-1.1NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-1.1NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-152.6NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-210.2NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-2.3NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-153.6NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-154.9NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-153.3NetworkManager VPN Support for openvpn
NetworkManager-openvpn1.12.0-210.7NetworkManager VPN Support for openvpn
NetworkManager-openvpn-lang1.12.0-1.1Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-153.6Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-211.7Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-154.9Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-1.1Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-2.3Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-1.1Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-211.5Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-1.1Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-152.6Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-1.1Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-210.2Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-210.7Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-154.6Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-154.6Translations for package NetworkManager-openvpn
NetworkManager-openvpn-lang1.12.0-153.3Translations for package NetworkManager-openvpn
NetworkManager-ovs1.48.2-1.1Open vSwitch device plugin for NetworkManager
NetworkManager-pppoe1.48.2-1.1NetworkManager plugin for ADSL connections
NetworkManager-tui1.48.2-1.1NetworkManager curses-based UI
NetworkManager-wwan1.48.2-1.1Mobile broadband device plugin for NetworkManager
nmzmail1.1-lp156.1.1Fulltext search within multiple maildirs
nodejs-packaging10.beta11-slfo.1.1.1Node.js Dependency generators for openSUSE
nodejs-packaging10.beta11-slfo.1.1.1Node.js Dependency generators for openSUSE
novnc1.5.0-Virt.150600.37.1VNC client using HTML5 (Web Sockets, Canvas) with encryption
npkg10.beta11-slfo.1.1.1The ultimate Node.js packaging toolkit for openSUSE
npkg10.beta11-slfo.1.1.1The ultimate Node.js packaging toolkit for openSUSE
obs-service-download_files0.9.2-96.18An OBS source service: download files
oci-cli3.43.2-1.1Oracle Cloud Infrastructure CLI
opendkim2.11.0-lp156.36.1Milter based implementation of DKIM
opendkim-devel2.11.0-lp156.36.1Development files to develop with opendkim
opendmarc1.4.2-lp156.16.1Domain-based Message Authentication, Reporting & Conformance
opendmarc-support20220318-lp156.16.1DMARC support stuff from TechSneeze
openSUSE-build-key1.0-slfo.1.4.1The public gpg keys for rpm package signature verification
openSUSE-build-key1.0-slfo.1.4.1The public gpg keys for rpm package signature verification
opi5.2.1-1.1OBS Package Installer (CLI)
opi5.2.1-143.2OBS Package Installer (CLI)
opi5.2.1-143.1OBS Package Installer (CLI)
opi5.2.1-143.2OBS Package Installer (CLI)
opi5.2.1-143.1OBS Package Installer (CLI)
opi5.2.1-143.3OBS Package Installer (CLI)
opi5.2.1-143.1OBS Package Installer (CLI)
opi5.2.1-144.2OBS Package Installer (CLI)
opi5.2.1-144.2OBS Package Installer (CLI)
opi5.2.1-lp156.142.1OBS Package Installer (CLI)
opi5.2.1-1.1OBS Package Installer (CLI)
opi5.2.1-lp155.143.1OBS Package Installer (CLI)
opi5.2.1-146.1OBS Package Installer (CLI)
opi5.2.1-1.1OBS Package Installer (CLI)
opi5.2.1-1.1OBS Package Installer (CLI)
opi5.2.1-2.3OBS Package Installer (CLI)
opi5.2.1-1.1OBS Package Installer (CLI)
opi5.2.1-146.1OBS Package Installer (CLI)
opi5.2.1-155.2OBS Package Installer (CLI)
opi5.2.1-155.2OBS Package Installer (CLI)
orange0.4-lp155.17.5Tool to extract CAB files from self-extracting installers
owasp-modsecurity-crs4.3.0-bp150.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-lp152.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-lp151.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-bp151.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-lp152.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-150400.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-lp151.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-lp156.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-lp155.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs4.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-lp151.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-lp152.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-lp156.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-lp151.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-150400.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-lp155.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-bp151.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-bp150.3.1OWASP ModSecurity Common Rule Set (CRS)
owasp-modsecurity-crs-apache24.3.0-lp152.3.1OWASP ModSecurity Common Rule Set (CRS)
oxygen5-icon-theme5.115.0-slfo.1.1.1Oxygen icon theme
oxygen5-icon-theme5.115.0-slfo.1.1.1Oxygen icon theme
oxygen5-icon-theme-large5.115.0-slfo.1.1.1Oxygen icon theme
oxygen5-icon-theme-large5.115.0-slfo.1.1.1Oxygen icon theme
oxygen5-icon-theme-scalable5.115.0-slfo.1.1.1Oxygen icon theme
oxygen5-icon-theme-scalable5.115.0-slfo.1.1.1Oxygen icon theme
pandoc-cli3.2.1-1.1Conversion between documentation formats
pangomm1_4-devel2.46.4-slfo.1.1.1C++ interface for pango -- Development Files
pangomm1_4-devel2.46.4-slfo.1.1.1C++ interface for pango -- Development Files
patterns-base-32bit20200505-slfo.1.1.132-Bit Runtime Environment
patterns-base-32bit20200505-slfo.1.1.132-Bit Runtime Environment
patterns-base-apparmor20200505-slfo.1.1.1AppArmor
patterns-base-apparmor20200505-slfo.1.1.1AppArmor
patterns-base-apparmor-32bit20200505-slfo.1.1.1AppArmor
patterns-base-apparmor-32bit20200505-slfo.1.1.1AppArmor
patterns-base-base20200505-slfo.1.1.1Base System
patterns-base-base20200505-slfo.1.1.1Base System
patterns-base-base-32bit20200505-slfo.1.1.1Base System
patterns-base-base-32bit20200505-slfo.1.1.1Base System
patterns-base-basesystem20200505-slfo.1.1.1Base System (alias pattern for base)
patterns-base-basesystem20200505-slfo.1.1.1Base System (alias pattern for base)
patterns-base-basic_desktop20200505-slfo.1.1.1A basic desktop (based on IceWM)
patterns-base-basic_desktop20200505-slfo.1.1.1A basic desktop (based on IceWM)
patterns-base-bootloader20200505-slfo.1.1.1Bootloader
patterns-base-bootloader20200505-slfo.1.1.1Bootloader
patterns-base-console20200505-slfo.1.1.1Console Tools
patterns-base-console20200505-slfo.1.1.1Console Tools
patterns-base-documentation20200505-slfo.1.1.1Help and Support Documentation
patterns-base-documentation20200505-slfo.1.1.1Help and Support Documentation
patterns-base-enhanced_base20200505-slfo.1.1.1Enhanced Base System
patterns-base-enhanced_base20200505-slfo.1.1.1Enhanced Base System
patterns-base-enhanced_base-32bit20200505-slfo.1.1.1Enhanced Base System
patterns-base-enhanced_base-32bit20200505-slfo.1.1.1Enhanced Base System
patterns-base-fips20200505-slfo.1.1.1FIPS 140-2 specific packages
patterns-base-fips20200505-slfo.1.1.1FIPS 140-2 specific packages
patterns-base-minimal_base20200505-slfo.1.1.1Minimal Appliance Base
patterns-base-minimal_base20200505-slfo.1.1.1Minimal Appliance Base
patterns-base-minimal_base-32bit20200505-slfo.1.1.1Minimal Appliance Base
patterns-base-minimal_base-32bit20200505-slfo.1.1.1Minimal Appliance Base
patterns-base-selinux20200505-slfo.1.1.1SELinux
patterns-base-selinux20200505-slfo.1.1.1SELinux
patterns-base-sw_management20200505-slfo.1.1.1Software Management
patterns-base-sw_management20200505-slfo.1.1.1Software Management
patterns-base-sw_management-32bit20200505-slfo.1.1.1Software Management
patterns-base-sw_management-32bit20200505-slfo.1.1.1Software Management
patterns-base-transactional_base20200505-slfo.1.1.1Transactional Base System
patterns-base-transactional_base20200505-slfo.1.1.1Transactional Base System
patterns-base-update_test20200505-slfo.1.1.1Tests for the Update Stack
patterns-base-update_test20200505-slfo.1.1.1Tests for the Update Stack
patterns-base-x1120200505-slfo.1.1.1X Window System
patterns-base-x1120200505-slfo.1.1.1X Window System
patterns-base-x11-32bit20200505-slfo.1.1.1X Window System
patterns-base-x11-32bit20200505-slfo.1.1.1X Window System
patterns-base-x11_enhanced20200505-slfo.1.1.1X Window System
patterns-base-x11_enhanced20200505-slfo.1.1.1X Window System
patterns-base-x11_enhanced-32bit20200505-slfo.1.1.1X Window System
patterns-base-x11_enhanced-32bit20200505-slfo.1.1.1X Window System
perf4.19.19-8.0.34.2.xcpng8.3Performance monitoring for the Linux kernel
perl-Bio-SeqAlignment-Components-SeqMapping0.03-lp155.1.1Imports all modules relevant to sequence mapping
perl-Bio-SeqAlignment-Components-SeqMapping0.03-lp154.1.1Imports all modules relevant to sequence mapping
perl-Class-Std-Fast0.0.8-lp156.1.1Class::Std::Fast - faster but less secure than Class::Std
perl-Class-Std-Fast0.0.8-lp155.1.1Class::Std::Fast - faster but less secure than Class::Std
perl-Cyrus-Annotator3.8.2-lp156.1.1Cyrus Annotator Perl Module
perl-Cyrus-IMAP3.8.2-lp156.1.1Cyrus IMAP Perl Module
perl-Cyrus-SIEVE-managesieve3.8.2-lp156.1.1Cyrus SIEVE Perl Module
perl-Data-Uniqid0.12-lp156.8.1Perl extension for simple genrating of unique id\'s
perl-Devel-Cover1.440.0-150600.62.1Code coverage metrics for Perl
perl-Devel-Cover1.440.0-150500.62.1Code coverage metrics for Perl
perl-Devel-Cover1.440.0-lp156.62.1Code coverage metrics for Perl
perl-Devel-Cover1.440.0-lp155.62.1Code coverage metrics for Perl
perl-Encode-IMAPUTF71.05-lp156.4.1modification of UTF-7 encoding for IMAP
perl-File-Copy-Recursive0.45-lp156.17.1Perl extension for recursively copying files and directories
perl-Glib1.3294-slfo.1.2.1Perl wrappers for the GLib utility and object libraries
perl-Glib1.3294-slfo.1.2.1Perl wrappers for the GLib utility and object libraries
perl-HTML-Parser3.820.0-lp156.2.1HTML parser class
perl-IO-Socket-IP0.420.0-lp156.3.1Family-neutral IP socket supporting both IPv4 and IPv6
perl-IO-Tee0.66-lp156.6.1Multiplex output to multiple output handles
perl-JSON-WebToken0.10-lp156.2.1JSON Web Token (JWT) implementation
perl-Mail-Box3.10.0-lp156.3.1Complete E-mail handling suite
perl-Mail-IMAPClient3.43-lp156.18.1An IMAP Client API
perl-Mail-SPF_XS0.01-lp156.28.1An XS implementation of Mail::SPF
perl-Minion10.290.0-bp156.3.3.1Job queue
perl-Number-Bytes-Human0.11-lp156.1.1Convert byte count to human readable format
perl-Number-Bytes-Human0.11-lp155.1.1Convert byte count to human readable format
perl-Object-Realize-Later0.21-lp156.2.1Delayed creation of objects
perl-Perl-Tidy20240511.0.0-bp156.2.3.1Indent and reformat perl scripts
perl-razor-agents2.85-lp156.144.1The required perl modules for razor-agents
perl-Sys-MemInfo0.99-lp156.8.1Sys::MemInfo - Memory informations
perl-Sys-MemInfo0.99-1.1Sys::MemInfo - Memory informations
perl-Sys-MemInfo0.99-lp155.8.1Sys::MemInfo - Memory informations
perl-Sys-MemInfo0.99-8.3Sys::MemInfo - Memory informations
perl-Sys-Mmap0.20-lp155.1.1Uses mmap to map in a file as a Perl variable
perl-Sys-Mmap0.20-lp156.1.1Uses mmap to map in a file as a Perl variable
perl-Test-Mock-Guard0.10-lp156.4.1Simple mock test library using RAII.
perl-Test-MockModule0.178.0-bp156.2.3.1Override subroutines in a module for unit testing
perl-Text-Unidecode1.30-lp156.13.1Plain Ascii Transliterations of Unicode Text
perl-User-Identity1.02-lp156.7.1Collect information about a user
perl-UUID0.36-9.1Universally Unique Identifier library for Perl
perl-UUID0.36-lp155.9.1Universally Unique Identifier library for Perl
pfqueue0.5.6-lp156.3.1Queue Scanner and Frontend for Postfix and Exim
photorec7.2-lp155.19.2Tool to Undelete Files
photorec7.2-lp154.19.2Tool to Undelete Files
pico5.09-lp156.124.1A small, easy to use editor
pilot2.99-lp156.124.1Simple file system browser
pix3.4.1-1.3Image Viewer and Browser Utility
pix3.4.1-1.7Image Viewer and Browser Utility
pix3.4.1-lp156.1.1Image Viewer and Browser Utility
pix3.4.1-1.7Image Viewer and Browser Utility
pix-devel3.4.1-lp156.1.1Image viewer and browser utility -- Development Files
pix-devel3.4.1-1.7Image viewer and browser utility -- Development Files
pix-devel3.4.1-1.7Image viewer and browser utility -- Development Files
pix-devel3.4.1-1.3Image viewer and browser utility -- Development Files
pix-lang3.4.1-1.7Translations for package pix
pix-lang3.4.1-lp156.1.1Translations for package pix
pix-lang3.4.1-1.3Translations for package pix
playwright1.32.1-slfo.1.4.1Playwright enables reliable end-to-end testing for modern we
playwright1.32.1-slfo.1.4.1Playwright enables reliable end-to-end testing for modern we
pop-before-smtp1.50-lp156.1.1watch log for pop/imap auth, notify Postfix to allow relay
postfix3.9.0-lp156.473.1A fast, secure, and flexible mailer
postfix-bdb3.9.0-lp156.473.1A fast, secure, and flexible mailer
postfix-bdb3.7.5-lp156.3.1A fast, secure, and flexible mailer
postfix-bdb-lmdb3.7.5-lp156.3.1Postfix plugin to support LMDB maps
postfix-bdb-lmdb3.9.0-lp156.473.1Postfix plugin to support LMDB maps
postfix-devel3.9.0-lp156.473.1Development headers for the postfix package
postfix-doc3.9.0-lp156.473.1Documentations for the postfix package
postfix-ldap3.9.0-lp156.473.1Postfix LDAP map support
postfix-mysql3.9.0-lp156.473.1postfix plugin to support MySQL maps
postfix-postgresql3.9.0-lp156.473.1postfix plugin to support PostgreSQL maps
postgresql14-citus12.1.4-1.13Distributed PostgreSQL extension for multi-tenant and real-t
postgresql14-citus12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql14-citus12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql14-citus12.1.4-1.13Distributed PostgreSQL extension for multi-tenant and real-t
postgresql14-citus-devel12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql14-citus-devel12.1.4-1.13Distributed PostgreSQL extension for multi-tenant and real-t
postgresql14-citus-devel12.1.4-1.13Distributed PostgreSQL extension for multi-tenant and real-t
postgresql14-citus-devel12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql15-citus12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql15-citus12.1.4-1.11Distributed PostgreSQL extension for multi-tenant and real-t
postgresql15-citus12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql15-citus12.1.4-1.11Distributed PostgreSQL extension for multi-tenant and real-t
postgresql15-citus-devel12.1.4-1.11Distributed PostgreSQL extension for multi-tenant and real-t
postgresql15-citus-devel12.1.4-1.11Distributed PostgreSQL extension for multi-tenant and real-t
postgresql15-citus-devel12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql15-citus-devel12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql16-citus12.1.4-1.11Distributed PostgreSQL extension for multi-tenant and real-t
postgresql16-citus12.1.4-1.11Distributed PostgreSQL extension for multi-tenant and real-t
postgresql16-citus12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql16-citus12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql16-citus-devel12.1.4-1.11Distributed PostgreSQL extension for multi-tenant and real-t
postgresql16-citus-devel12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql16-citus-devel12.1.4-1.3Distributed PostgreSQL extension for multi-tenant and real-t
postgresql16-citus-devel12.1.4-1.11Distributed PostgreSQL extension for multi-tenant and real-t
postgrey1.37-lp156.104.1Postfix Greylisting Policy Server
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
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product-builder-plugin-SLE_15_pb141.8.2-150500.5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-150400.5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.2OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.4OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
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product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
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product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
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product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
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product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
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product-builder-plugin-SLE_15_pb141.8.2-5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-150400.5.1OpenSuSE - KIWI Image System
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product-builder-plugin-SLE_15_pb141.8.2-150500.5.1OpenSuSE - KIWI Image System
product-builder-plugin-SLE_15_pb141.8.2-150600.5.1OpenSuSE - KIWI Image System
prometheus-cpp-devel0.12.3-lp156.6.1Development files for prometheus-cpp
pst2mbox0.5.3-lp156.2.1Converts PST into mbox
python-gceimgutils0.13.0-150500.1.2Image management utilities for GCE
python-gceimgutils0.13.0-150500.2.2Image management utilities for GCE
python-imposm-parser1.0.3-lp155.1.6Python parser for OpenStreetMap data
python-rpm-macros20240618.1e386da-slfo.1.1.1RPM macros for building of Python modules
python-rpm-macros20240618.1e386da-slfo.1.1.1RPM macros for building of Python modules
python2-docker2.6.1-4.6.1.uyuniDocker API Client
python2-docker2.6.1-4.6.1.uyuniDocker API Client
python2-docker2.6.1-4.6.1.uyuniDocker API Client
python2-docker2.6.1-4.6.1.uyuniDocker API Client
python2-docker2.6.1-4.6.1.uyuniDocker API Client
python2-docker2.6.1-4.6.1.uyuniDocker API Client
python2-docker2.6.1-4.6.1.uyuniDocker API Client
python2-docker2.6.1-4.6.1.uyuniDocker API Client
python2-perf4.19.19-8.0.34.2.xcpng8.3Python bindings for apps which will manipulate perf events
python3-docker2.6.1-4.6.1.uyuniDocker API Client
python3-docker2.6.1-4.6.1.uyuniDocker API Client
python3-docker2.6.1-4.6.1.uyuniDocker API Client
python3-docker2.6.1-4.6.1.uyuniDocker API Client
python3-docker2.6.1-4.6.1.uyuniDocker API Client
python3-docker2.6.1-4.6.1.uyuniDocker API Client
python3-docker2.6.1-4.6.1.uyuniDocker API Client
python3-docker2.6.1-4.6.1.uyuniDocker API Client
python3-guessit3.8.0-lp156.4.1A library for guessing information from video files
python3-guessit3.8.0-lp155.4.1A library for guessing information from video files
python3-guessit3.8.0-lp154.4.1A library for guessing information from video files
python3-mlt7.24.0-1.1Python bindings for the MLT multimedia framework
python3-mlt7.24.0-1.2Python bindings for the MLT multimedia framework
python3-py3dns4.0.2-lp156.14.1Python module for DNS (Domain Name Service)
python3-pyexmdb1.11.0.58baa16-lp156.11.1Python bindings for libexmdbpp
python3-xcb-proto-devel7.6_1.17.0-slfo.1.1.1Python libraries mandatory for XML-XCB Development
python3-xcb-proto-devel7.6_1.17.0-slfo.1.1.1Python libraries mandatory for XML-XCB Development
python3.113.11.9-1.el8_10Version 3.11 of the Python interpreter
python3.113.11.9-1.el8_10Version 3.11 of the Python interpreter
python3.11-debug3.11.9-1.el8_10Debug version of the Python runtime
python3.11-debug3.11.9-1.el8_10Debug version of the Python runtime
python3.11-devel3.11.9-1.el8_10Libraries and header files needed for Python development
python3.11-devel3.11.9-1.el8_10Libraries and header files needed for Python development
python3.11-idle3.11.9-1.el8_10A basic graphical development environment for Python
python3.11-idle3.11.9-1.el8_10A basic graphical development environment for Python
python3.11-libs3.11.9-1.el8_10Python runtime libraries
python3.11-libs3.11.9-1.el8_10Python runtime libraries
python3.11-rpm-macros3.11.9-1.el8_10RPM macros for building RPMs with Python 3.11
python3.11-rpm-macros3.11.9-1.el8_10RPM macros for building RPMs with Python 3.11
python3.11-rpm-macros3.11.9-1.el8_10RPM macros for building RPMs with Python 3.11
python3.11-test3.11.9-1.el8_10The self-test suite for the main python3 package
python3.11-test3.11.9-1.el8_10The self-test suite for the main python3 package
python3.11-tkinter3.11.9-1.el8_10A GUI toolkit for Python
python3.11-tkinter3.11.9-1.el8_10A GUI toolkit for Python
python310-aioruuvigateway0.1.0-5.62An asyncio-native library for requesting data from a Ruuvi G
python310-aioruuvigateway0.1.0-2.67An asyncio-native library for requesting data from a Ruuvi G
python310-annotated-types0.5.0-4.30Data validation and settings management using python type hi
python310-annotated-types0.7.0-lp155.8.3Reusable constraint types to use with typing.Annotated
python310-apipkg3.0.2-lp155.26.11Namespace control and lazy-import mechanism
python310-argon2-cffi23.1.0-lp155.31.10The Argon2 password hashing algorithm for Python
python310-attrs23.2.0-lp155.52.2Attributes without boilerplate
python310-azure-identity1.17.1-1.1Azure Identity client library for Python
python310-azure-identity1.17.1-1.1Azure Identity client library for Python
python310-azure-identity1.17.1-1.1Azure Identity client library for Python
python310-azure-identity1.17.1-1.1Azure Identity client library for Python
python310-azure-identity1.17.1-1.1Azure Identity client library for Python
python310-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python310-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python310-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python310-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python310-azure-mgmt-powerbiembedded3.0.0-20.17Microsoft Azure Power BI Embedded Management Client Library
python310-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python310-colorama0.4.6-lp155.41.13Cross-platform colored terminal text
python310-datashader0.16.2-1.1Data visualization toolchain based on aggregating into a gri
python310-dirty-equals0.7.1-lp155.14.3Doing dirty (but useful) things with equals
python310-djangorestframework-simplejwt5.3.1-1.1JSON Web Token authentication for Django REST Framework
python310-execnet2.1.1-lp155.32.3Rapid multi-Python deployment
python310-expandvars0.12.0-lp155.9.8Expand system variables Unix style
python310-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python310-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python310-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python310-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python310-googleapis-common-protos1.63.1-1.1Common protobufs used in Google APIs
python310-hanzidentifier1.2.0-lp155.12.11Python module that identifies Chinese text as Simplified or
python310-hatch-fancy-pypi-readme24.1.0-lp155.17.8Fancy PyPI READMEs with Hatch
python310-hatchling1.25.0-lp155.2.1Build backend used by Hatch
python310-hatch_vcs0.4.0-lp155.27.21Hatch plugin for versioning with your preferred VCS
python310-httpcore1.0.5-lp155.34.4Minimal low-level Python HTTP client
python310-iniconfig2.0.0-lp155.25.19iniconfig: brain-dead simple config-ini parsing
python310-jsonschema-specifications2023.12.1-lp155.21.8The JSON Schema meta-schemas and vocabularies, exposed as a
python310-linuxpy0.10.0-2.15Human friendly interface to linux subsystems using python
python310-linuxpy0.10.0-2.13Human friendly interface to linux subsystems using python
python310-linuxpy0.10.0-2.7Human friendly interface to linux subsystems using python
python310-model-bakery1.17.0-lp155.14.10Smart object creation facility for Django
python310-paho-mqtt2.1.0-lp155.18.3MQTT version 3.11 client class
python310-platformdirs4.2.2-lp155.28.2Module for determining appropriate platform-specific dirs
python310-prettytable3.9.0-lp155.28.10Library for displaying tabular data in formatted fashion
python310-proselint0.14.0-1.1A linter for prose
python310-proselint0.14.0-1.1A linter for prose
python310-proselint0.14.0-1.1A linter for prose
python310-proselint0.14.0-35.5A linter for prose
python310-proselint0.14.0-35.13A linter for prose
python310-proselint0.14.0-1.1A linter for prose
python310-proselint0.14.0-1.1A linter for prose
python310-proton-vpn-killswitch-network-manager0.4.5-1.1Proton VPN kill switch interface using NetworkManager
python310-proton-vpn-killswitch-network-manager0.4.5-1.1Proton VPN kill switch interface using NetworkManager
python310-PyHamcrest2.1.0-lp155.30.8Hamcrest framework for matcher objects
python310-pyperf2.7.0-1.1Python module to run and analyze benchmarks
python310-pyperf2.7.0-4.1Python module to run and analyze benchmarks
python310-pyperf2.7.0-1.1Python module to run and analyze benchmarks
python310-pyperf2.7.0-1.1Python module to run and analyze benchmarks
python310-pyperf2.7.0-21.8Python module to run and analyze benchmarks
python310-pyperf2.7.0-21.15Python module to run and analyze benchmarks
python310-pyperf2.7.0-4.1Python module to run and analyze benchmarks
python310-pyproject-api1.6.1-lp155.11.10API to interact with the python pyproject.toml based project
python310-python-mpv1.0.7-1.1Python interface to the mpv media player
python310-python-mpv1.0.7-44.15Python interface to the mpv media player
python310-python-mpv1.0.7-1.1Python interface to the mpv media player
python310-python-mpv1.0.7-1.1Python interface to the mpv media player
python310-python-mpv1.0.7-1.1Python interface to the mpv media player
python310-python-mpv1.0.7-44.8Python interface to the mpv media player
python310-python-mpv1.0.7-1.1Python interface to the mpv media player
python310-pytools2024.1.5-1.1A collection of tools for Python
python310-pytools2024.1.5-48.1A collection of tools for Python
python310-pytools2024.1.5-48.1A collection of tools for Python
python310-pytools2024.1.5-1.2A collection of tools for Python
python310-pytools2024.1.5-1.1A collection of tools for Python
python310-pytools2024.1.5-1.1A collection of tools for Python
python310-pytools2024.1.5-45.6A collection of tools for Python
python310-pytools2024.1.5-1.2A collection of tools for Python
python310-pytools2024.1.5-45.13A collection of tools for Python
python310-pytools2024.1.5-46.15A collection of tools for Python
python310-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python310-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python310-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python310-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python310-referencing0.35.1-lp155.52.3JSON Referencing + Python
python310-ruff0.4.10-1.1An extremely fast Python linter, written in Rust
python310-ruff0.4.10-1.0.4.1.sr20240605An extremely fast Python linter, written in Rust
python310-service_identity24.1.0-lp155.38.8Service identity verification for pyOpenSSL
python310-soupsieve2.5-lp155.41.6A modern CSS selector implementation for BeautifulSoup
python310-tox4.14.2-lp155.132.4Virtualenv-based automation of test activities
python310-userpath1.9.2-lp155.18.6Tool for adding locations to the user PATH
python310-uvicorn0.29.0-lp155.40.4An Asynchronous Server Gateway Interface server
python310-zhon2.0.2-lp155.14.11Constants used in Chinese text processing
python311-aiodataloader0.4.0-lp156.9.12Asyncio DataLoader implementation for Python
python311-aioruuvigateway0.1.0-2.67An asyncio-native library for requesting data from a Ruuvi G
python311-aioruuvigateway0.1.0-5.62An asyncio-native library for requesting data from a Ruuvi G
python311-annotated-types0.5.0-4.30Data validation and settings management using python type hi
python311-annotated-types0.7.0-lp156.8.3Reusable constraint types to use with typing.Annotated
python311-annotated-types0.7.0-lp155.8.3Reusable constraint types to use with typing.Annotated
python311-annotated-types0.7.0-lp156.11.3Reusable constraint types to use with typing.Annotated
python311-annotated-types0.7.0-lp155.11.3Reusable constraint types to use with typing.Annotated
python311-annotated-types0.7.0-lp156.7.3Reusable constraint types to use with typing.Annotated
python311-annotated-types0.7.0-lp156.8.3Reusable constraint types to use with typing.Annotated
python311-annotated-types0.7.0-lp155.8.3Reusable constraint types to use with typing.Annotated
python311-apipkg3.0.2-lp155.25.11Namespace control and lazy-import mechanism
python311-apipkg3.0.2-lp156.29.8Namespace control and lazy-import mechanism
python311-apipkg3.0.2-lp156.26.4Namespace control and lazy-import mechanism
python311-apipkg3.0.2-lp155.26.4Namespace control and lazy-import mechanism
python311-apipkg3.0.2-lp155.29.8Namespace control and lazy-import mechanism
python311-apipkg3.0.2-lp155.26.11Namespace control and lazy-import mechanism
python311-apipkg3.0.2-lp156.26.10Namespace control and lazy-import mechanism
python311-apipkg3.0.2-150500.30.8Namespace control and lazy-import mechanism
python311-argon2-cffi23.1.0-lp155.31.10The Argon2 password hashing algorithm for Python
python311-argon2-cffi23.1.0-lp156.31.10The Argon2 password hashing algorithm for Python
python311-argon2-cffi23.1.0-lp156.31.4The Argon2 password hashing algorithm for Python
python311-argon2-cffi23.1.0-lp155.31.4The Argon2 password hashing algorithm for Python
python311-argon2-cffi23.1.0-lp155.37.8The Argon2 password hashing algorithm for Python
python311-argon2-cffi23.1.0-lp156.37.8The Argon2 password hashing algorithm for Python
python311-argon2-cffi23.1.0-lp156.30.10The Argon2 password hashing algorithm for Python
python311-attrs23.2.0-lp155.52.2Attributes without boilerplate
python311-attrs23.2.0-lp155.52.2Attributes without boilerplate
python311-attrs23.2.0-lp155.55.2Attributes without boilerplate
python311-attrs23.2.0-lp156.55.2Attributes without boilerplate
python311-attrs23.2.0-lp156.52.2Attributes without boilerplate
python311-attrs23.2.0-lp155.51.2Attributes without boilerplate
python311-attrs23.2.0-lp156.52.2Attributes without boilerplate
python311-attrs23.2.0-150500.52.2Attributes without boilerplate
python311-attrs23.2.0-lp156.51.2Attributes without boilerplate
python311-authres1.2.0-lp156.9.1authres - Authentication Results Header Module
python311-azure-identity1.17.1-1.1Azure Identity client library for Python
python311-azure-identity1.17.1-1.1Azure Identity client library for Python
python311-azure-identity1.17.1-1.1Azure Identity client library for Python
python311-azure-identity1.17.1-1.1Azure Identity client library for Python
python311-azure-identity1.17.1-1.1Azure Identity client library for Python
python311-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python311-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python311-azure-mgmt-powerbiembedded3.0.0-20.17Microsoft Azure Power BI Embedded Management Client Library
python311-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python311-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python311-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python311-azure-mgmt-powerbiembedded3.0.0-lp160.2.2Microsoft Azure Power BI Embedded Management Client Library
python311-beautifulsoup44.12.3-lp156.109.10HTML/XML parser for quick-turnaround applications like scree
python311-beautifulsoup44.12.3-lp156.110.5HTML/XML parser for quick-turnaround applications like scree
python311-beautifulsoup44.12.3-lp155.114.10HTML/XML parser for quick-turnaround applications like scree
python311-beautifulsoup44.12.3-lp155.110.4HTML/XML parser for quick-turnaround applications like scree
python311-beautifulsoup44.12.3-lp156.114.10HTML/XML parser for quick-turnaround applications like scree
python311-bugzilla3.2.0-slfo.1.2.1Python library for bugzilla
python311-bugzilla3.2.0-slfo.1.2.1Python library for bugzilla
python311-cairocffi1.7.1-lp155.68.1Python cairo bindings based on cffi
python311-cairocffi-pixbuf1.7.1-lp155.68.1Python cairo bindings based on cffi - pixbuf image loader
python311-cattrs23.2.3-lp156.10.3Composable complex class support for attrs and dataclasses
python311-colorama0.4.6-lp155.41.13Cross-platform colored terminal text
python311-colorama0.4.6-lp156.40.10Cross-platform colored terminal text
python311-colorama0.4.6-lp155.43.36Cross-platform colored terminal text
python311-colorama0.4.6-lp155.40.10Cross-platform colored terminal text
python311-colorama0.4.6-lp156.43.63Cross-platform colored terminal text
python311-colorama0.4.6-lp156.41.4Cross-platform colored terminal text
python311-colorama0.4.6-lp156.41.10Cross-platform colored terminal text
python311-colorama0.4.6-lp155.41.4Cross-platform colored terminal text
python311-comm0.2.2-lp155.18.4Jupyter Python Comm implementation
python311-comm0.2.2-lp156.18.4Jupyter Python Comm implementation
python311-Cycler0.12.1-150500.3.4Composable style cycles
python311-datashader0.16.2-1.1Data visualization toolchain based on aggregating into a gri
python311-dirty-equals0.7.1-lp156.16.8Doing dirty (but useful) things with equals
python311-dirty-equals0.7.1-lp156.14.4Doing dirty (but useful) things with equals
python311-dirty-equals0.7.1-lp155.16.8Doing dirty (but useful) things with equals
python311-dirty-equals0.7.1-lp155.14.3Doing dirty (but useful) things with equals
python311-dirty-equals0.7.1-lp156.14.3Doing dirty (but useful) things with equals
python311-dirty-equals0.7.1-lp156.13.8Doing dirty (but useful) things with equals
python311-distutils-extra3.0-slfo.1.1.2Distutils/Setuptools Adapter
python311-distutils-extra3.0-slfo.1.1.2Distutils/Setuptools Adapter
python311-djangorestframework-simplejwt5.3.1-1.1JSON Web Token authentication for Django REST Framework
python311-execnet2.1.1-lp156.32.3Rapid multi-Python deployment
python311-execnet2.1.1-lp155.32.3Rapid multi-Python deployment
python311-execnet2.1.1-lp156.34.3Rapid multi-Python deployment
python311-execnet2.1.1-lp156.32.4Rapid multi-Python deployment
python311-execnet2.1.1-lp155.34.4Rapid multi-Python deployment
python311-execnet2.1.1-lp155.31.4Rapid multi-Python deployment
python311-execnet2.1.1-150500.3.4Rapid multi-Python deployment
python311-execnet2.1.1-lp155.32.3Rapid multi-Python deployment
python311-expandvars0.12.0-lp156.9.4Expand system variables Unix style
python311-expandvars0.12.0-lp156.8.8Expand system variables Unix style
python311-expandvars0.12.0-lp156.9.8Expand system variables Unix style
python311-expandvars0.12.0-lp156.14.8Expand system variables Unix style
python311-expandvars0.12.0-lp155.14.8Expand system variables Unix style
python311-expandvars0.12.0-lp155.9.4Expand system variables Unix style
python311-expandvars0.12.0-lp155.9.8Expand system variables Unix style
python311-flake8-builtins2.5.0-lp156.17.3Flake8 Builtins plugin
python311-flake8-deprecated2.2.1-lp156.9.10Flake8 deprecations plugin
python311-flake8-isort6.1.1-lp156.12.6Plugin integrating isort in flake8
python311-flake8-pep31012.1.0-lp156.10.6Checks for old string formatting
python311-flynt1.0.1-lp155.20.8CLI tool to convert a python project\'s strings to f-string
python311-flynt1.0.1-lp156.12.8CLI tool to convert a python project\'s strings to f-string
python311-flynt1.0.1-lp156.20.8CLI tool to convert a python project\'s strings to f-string
python311-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python311-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python311-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python311-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python311-googleapis-common-protos1.63.1-1.1Common protobufs used in Google APIs
python311-hanzidentifier1.2.0-lp156.11.11Python module that identifies Chinese text as Simplified or
python311-hanzidentifier1.2.0-lp156.12.11Python module that identifies Chinese text as Simplified or
python311-hanzidentifier1.2.0-lp155.12.11Python module that identifies Chinese text as Simplified or
python311-hatch1.10.0-lp156.43.2Modern, extensible Python project management
python311-hatch-fancy-pypi-readme24.1.0-lp155.17.4Fancy PyPI READMEs with Hatch
python311-hatch-fancy-pypi-readme24.1.0-lp156.17.8Fancy PyPI READMEs with Hatch
python311-hatch-fancy-pypi-readme24.1.0-lp156.19.8Fancy PyPI READMEs with Hatch
python311-hatch-fancy-pypi-readme24.1.0-lp156.16.8Fancy PyPI READMEs with Hatch
python311-hatch-fancy-pypi-readme24.1.0-150500.3.8Fancy PyPI READMEs with Hatch
python311-hatch-fancy-pypi-readme24.1.0-lp155.19.8Fancy PyPI READMEs with Hatch
python311-hatch-fancy-pypi-readme24.1.0-lp155.16.8Fancy PyPI READMEs with Hatch
python311-hatch-fancy-pypi-readme24.1.0-lp156.22.8Fancy PyPI READMEs with Hatch
python311-hatch-fancy-pypi-readme24.1.0-lp156.17.4Fancy PyPI READMEs with Hatch
python311-hatch-fancy-pypi-readme24.1.0-lp155.17.8Fancy PyPI READMEs with Hatch
python311-hatchling1.25.0-lp155.4.1Build backend used by Hatch
python311-hatchling1.25.0-lp155.2.1Build backend used by Hatch
python311-hatchling1.25.0-lp155.1.1Build backend used by Hatch
python311-hatchling1.25.0-lp156.4.1Build backend used by Hatch
python311-hatchling1.25.0-lp156.2.1Build backend used by Hatch
python311-hatchling1.25.0-150500.3.1Build backend used by Hatch
python311-hatchling1.25.0-lp155.2.1Build backend used by Hatch
python311-hatchling1.25.0-lp156.1.1Build backend used by Hatch
python311-hatchling1.25.0-lp156.2.1Build backend used by Hatch
python311-hatch_requirements_txt0.4.0-lp156.5.10Hatchling plugin to read project dependencies from requireme
python311-hatch_vcs0.4.0-lp155.27.21Hatch plugin for versioning with your preferred VCS
python311-hatch_vcs0.4.0-lp156.27.23Hatch plugin for versioning with your preferred VCS
python311-hatch_vcs0.4.0-lp155.26.20Hatch plugin for versioning with your preferred VCS
python311-hatch_vcs0.4.0-lp156.29.8Hatch plugin for versioning with your preferred VCS
python311-hatch_vcs0.4.0-lp155.29.8Hatch plugin for versioning with your preferred VCS
python311-hatch_vcs0.4.0-150500.3.10Hatch plugin for versioning with your preferred VCS
python311-hatch_vcs0.4.0-lp156.26.11Hatch plugin for versioning with your preferred VCS
python311-hatch_vcs0.4.0-lp156.30.10Hatch plugin for versioning with your preferred VCS
python311-hatch_vcs0.4.0-lp156.27.5Hatch plugin for versioning with your preferred VCS
python311-hatch_vcs0.4.0-lp155.27.4Hatch plugin for versioning with your preferred VCS
python311-httpcore1.0.5-lp155.36.5Minimal low-level Python HTTP client
python311-httpcore1.0.5-lp156.36.5Minimal low-level Python HTTP client
python311-httpcore1.0.5-lp156.34.5Minimal low-level Python HTTP client
python311-httpcore1.0.5-lp156.33.5Minimal low-level Python HTTP client
python311-httpcore1.0.5-lp155.34.4Minimal low-level Python HTTP client
python311-httpcore1.0.5-lp155.34.4Minimal low-level Python HTTP client
python311-httpcore1.0.5-lp156.34.5Minimal low-level Python HTTP client
python311-img-proof7.29.8-150500.26.2Command line and API for testing custom images
python311-img-proof-tests7.29.8-150500.26.2Infrastructure tests for img-proof
python311-iniconfig2.0.0-lp156.25.21iniconfig: brain-dead simple config-ini parsing
python311-iniconfig2.0.0-lp155.27.8iniconfig: brain-dead simple config-ini parsing
python311-iniconfig2.0.0-lp156.25.4iniconfig: brain-dead simple config-ini parsing
python311-iniconfig2.0.0-150500.6.11iniconfig: brain-dead simple config-ini parsing
python311-iniconfig2.0.0-lp156.24.24iniconfig: brain-dead simple config-ini parsing
python311-iniconfig2.0.0-lp155.25.19iniconfig: brain-dead simple config-ini parsing
python311-iniconfig2.0.0-lp156.27.8iniconfig: brain-dead simple config-ini parsing
python311-iniconfig2.0.0-lp155.24.18iniconfig: brain-dead simple config-ini parsing
python311-iniconfig2.0.0-lp155.25.4iniconfig: brain-dead simple config-ini parsing
python311-jsonschema-specifications2023.12.1-lp156.21.9The JSON Schema meta-schemas and vocabularies, exposed as a
python311-jsonschema-specifications2023.12.1-lp156.20.9The JSON Schema meta-schemas and vocabularies, exposed as a
python311-jsonschema-specifications2023.12.1-lp156.38.9The JSON Schema meta-schemas and vocabularies, exposed as a
python311-jsonschema-specifications2023.12.1-lp156.21.5The JSON Schema meta-schemas and vocabularies, exposed as a
python311-jsonschema-specifications2023.12.1-lp155.23.9The JSON Schema meta-schemas and vocabularies, exposed as a
python311-jsonschema-specifications2023.12.1-lp155.21.8The JSON Schema meta-schemas and vocabularies, exposed as a
python311-jsonschema-specifications2023.12.1-lp156.23.9The JSON Schema meta-schemas and vocabularies, exposed as a
python311-jsonschema4174.17.3-lp156.3.10An implementation of JSON-Schema validation for Python
python311-jsonschema417-format4.17.3-lp156.3.10An implementation of JSON-Schema validation for Python [form
python311-jsonschema417-format-nongpl4.17.3-lp156.3.10An implementation of JSON-Schema validation for Python [form
python311-linuxpy0.10.0-2.13Human friendly interface to linux subsystems using python
python311-linuxpy0.10.0-2.15Human friendly interface to linux subsystems using python
python311-linuxpy0.10.0-2.7Human friendly interface to linux subsystems using python
python311-mkdocs-get-deps0.2.0-lp155.4.3MkDocs extension that lists all dependencies according to a
python311-mkdocs-get-deps0.2.0-lp156.4.3MkDocs extension that lists all dependencies according to a
python311-mkdocs-get-deps0.2.0-lp156.3.3MkDocs extension that lists all dependencies according to a
python311-mkdocs-get-deps0.2.0-lp156.3.3MkDocs extension that lists all dependencies according to a
python311-mkdocs-material-extensions1.3.1-lp156.29.5Extension pack for Python Markdown
python311-mkdocs-material-extensions1.3.1-lp156.18.5Extension pack for Python Markdown
python311-model-bakery1.17.0-lp155.14.10Smart object creation facility for Django
python311-model-bakery1.17.0-lp156.19.8Smart object creation facility for Django
python311-model-bakery1.17.0-lp156.14.10Smart object creation facility for Django
python311-model-bakery1.17.0-lp155.19.8Smart object creation facility for Django
python311-paho-mqtt2.1.0-lp155.18.3MQTT version 3.11 client class
python311-paho-mqtt2.1.0-lp156.18.3MQTT version 3.11 client class
python311-pem23.1.0-lp156.24.8PEM file parsing in Python
python311-pem23.1.0-lp155.24.8PEM file parsing in Python
python311-pem23.1.0-lp156.18.9PEM file parsing in Python
python311-phply1.2.6-slfo.1.2.1Lexer and parser for PHP source implemented using PLY
python311-phply1.2.6-slfo.1.2.1Lexer and parser for PHP source implemented using PLY
python311-platformdirs4.2.2-lp156.28.2Module for determining appropriate platform-specific dirs
python311-platformdirs4.2.2-lp156.32.2Module for determining appropriate platform-specific dirs
python311-platformdirs4.2.2-lp156.28.2Module for determining appropriate platform-specific dirs
python311-platformdirs4.2.2-lp155.27.2Module for determining appropriate platform-specific dirs
python311-platformdirs4.2.2-lp155.28.2Module for determining appropriate platform-specific dirs
python311-platformdirs4.2.2-lp155.32.2Module for determining appropriate platform-specific dirs
python311-platformdirs4.2.2-lp156.27.2Module for determining appropriate platform-specific dirs
python311-platformdirs4.2.2-lp155.28.2Module for determining appropriate platform-specific dirs
python311-prettytable3.9.0-lp156.28.11Library for displaying tabular data in formatted fashion
python311-prettytable3.9.0-lp155.28.10Library for displaying tabular data in formatted fashion
python311-prettytable3.9.0-lp156.27.11Library for displaying tabular data in formatted fashion
python311-proselint0.14.0-1.1A linter for prose
python311-proselint0.14.0-1.1A linter for prose
python311-proselint0.14.0-1.1A linter for prose
python311-proselint0.14.0-35.5A linter for prose
python311-proselint0.14.0-1.1A linter for prose
python311-proselint0.14.0-35.13A linter for prose
python311-proselint0.14.0-1.1A linter for prose
python311-proselint0.14.0-lp160.2.2A linter for prose
python311-proton-vpn-killswitch-network-manager0.4.5-1.1Proton VPN kill switch interface using NetworkManager
python311-proton-vpn-killswitch-network-manager0.4.5-1.1Proton VPN kill switch interface using NetworkManager
python311-PyHamcrest2.1.0-lp155.30.8Hamcrest framework for matcher objects
python311-PyHamcrest2.1.0-lp155.30.4Hamcrest framework for matcher objects
python311-PyHamcrest2.1.0-lp156.30.4Hamcrest framework for matcher objects
python311-PyHamcrest2.1.0-lp155.33.8Hamcrest framework for matcher objects
python311-PyHamcrest2.1.0-lp156.29.8Hamcrest framework for matcher objects
python311-PyHamcrest2.1.0-lp156.30.8Hamcrest framework for matcher objects
python311-PyHamcrest2.1.0-lp156.33.8Hamcrest framework for matcher objects
python311-pyperf2.7.0-1.1Python module to run and analyze benchmarks
python311-pyperf2.7.0-1.1Python module to run and analyze benchmarks
python311-pyperf2.7.0-4.1Python module to run and analyze benchmarks
python311-pyperf2.7.0-21.15Python module to run and analyze benchmarks
python311-pyperf2.7.0-21.8Python module to run and analyze benchmarks
python311-pyperf2.7.0-lp160.2.2Python module to run and analyze benchmarks
python311-pyperf2.7.0-1.1Python module to run and analyze benchmarks
python311-pyperf2.7.0-4.1Python module to run and analyze benchmarks
python311-pyproject-api1.6.1-lp156.10.10API to interact with the python pyproject.toml based project
python311-pyproject-api1.6.1-lp156.11.8API to interact with the python pyproject.toml based project
python311-pyproject-api1.6.1-lp155.15.8API to interact with the python pyproject.toml based project
python311-pyproject-api1.6.1-lp155.11.10API to interact with the python pyproject.toml based project
python311-pyproject-api1.6.1-lp156.15.8API to interact with the python pyproject.toml based project
python311-pytest-env1.1.3-lp156.24.8Pytest plugin to add environment variables
python311-pytest-env1.1.3-lp155.24.8Pytest plugin to add environment variables
python311-pytest-xdist3.6.1-150500.45.2Distributed testing and loop-on-failing for py.test
python311-python-mpv1.0.7-lp160.2.2Python interface to the mpv media player
python311-python-mpv1.0.7-44.15Python interface to the mpv media player
python311-python-mpv1.0.7-1.1Python interface to the mpv media player
python311-python-mpv1.0.7-44.8Python interface to the mpv media player
python311-python-mpv1.0.7-1.1Python interface to the mpv media player
python311-python-mpv1.0.7-1.1Python interface to the mpv media player
python311-python-mpv1.0.7-1.1Python interface to the mpv media player
python311-python-mpv1.0.7-1.1Python interface to the mpv media player
python311-python-multipart0.0.9-lp155.21.4Python streaming multipart parser
python311-python-multipart0.0.9-lp156.21.5Python streaming multipart parser
python311-python-multipart0.0.9-lp156.20.8Python streaming multipart parser
python311-python-multipart0.0.9-lp155.26.8Python streaming multipart parser
python311-python-multipart0.0.9-lp156.26.8Python streaming multipart parser
python311-pytools2024.1.5-1.2A collection of tools for Python
python311-pytools2024.1.5-48.1A collection of tools for Python
python311-pytools2024.1.5-45.13A collection of tools for Python
python311-pytools2024.1.5-46.15A collection of tools for Python
python311-pytools2024.1.5-45.6A collection of tools for Python
python311-pytools2024.1.5-1.2A collection of tools for Python
python311-pytools2024.1.5-1.1A collection of tools for Python
python311-pytools2024.1.5-lp160.2.3A collection of tools for Python
python311-pytools2024.1.5-48.1A collection of tools for Python
python311-pytools2024.1.5-1.1A collection of tools for Python
python311-pytools2024.1.5-1.1A collection of tools for Python
python311-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python311-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python311-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python311-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python311-referencing0.35.1-lp156.52.4JSON Referencing + Python
python311-referencing0.35.1-lp155.52.3JSON Referencing + Python
python311-referencing0.35.1-lp155.54.4JSON Referencing + Python
python311-referencing0.35.1-lp156.52.3JSON Referencing + Python
python311-referencing0.35.1-lp156.54.3JSON Referencing + Python
python311-referencing0.35.1-lp156.51.3JSON Referencing + Python
python311-referencing0.35.1-lp156.112.3JSON Referencing + Python
python311-referencing0.35.1-lp155.52.3JSON Referencing + Python
python311-responses0.25.3-lp155.76.1A utility library for mocking out the `requests` Python libr
python311-rpyc6.0.0-lp156.34.8Remote Python Call (RPyC), a RPC library
python311-ruff0.4.10-1.0.4.1.sr20240605An extremely fast Python linter, written in Rust
python311-ruff0.4.10-1.1An extremely fast Python linter, written in Rust
python311-semanage3.6-slfo.1.1.1Python bindings for SELinux\'s policy management library
python311-semanage3.6-slfo.1.1.1Python bindings for SELinux\'s policy management library
python311-service_identity24.1.0-lp155.38.8Service identity verification for pyOpenSSL
python311-service_identity24.1.0-lp156.38.9Service identity verification for pyOpenSSL
python311-service_identity24.1.0-lp156.37.8Service identity verification for pyOpenSSL
python311-service_identity24.1.0-lp156.38.4Service identity verification for pyOpenSSL
python311-service_identity24.1.0-lp156.42.9Service identity verification for pyOpenSSL
python311-service_identity24.1.0-lp155.37.8Service identity verification for pyOpenSSL
python311-service_identity24.1.0-lp155.42.9Service identity verification for pyOpenSSL
python311-service_identity24.1.0-lp155.38.4Service identity verification for pyOpenSSL
python311-soupsieve2.5-lp156.41.4A modern CSS selector implementation for BeautifulSoup
python311-soupsieve2.5-lp156.43.6A modern CSS selector implementation for BeautifulSoup
python311-soupsieve2.5-lp155.43.7A modern CSS selector implementation for BeautifulSoup
python311-soupsieve2.5-lp155.41.4A modern CSS selector implementation for BeautifulSoup
python311-soupsieve2.5-lp156.40.6A modern CSS selector implementation for BeautifulSoup
python311-soupsieve2.5-lp156.41.6A modern CSS selector implementation for BeautifulSoup
python311-soupsieve2.5-lp155.41.6A modern CSS selector implementation for BeautifulSoup
python311-termcolor2.4.0-lp155.40.8ANSII Color formatting for output in terminal
python311-tox4.14.2-lp155.132.4Virtualenv-based automation of test activities
python311-urllib32.1.0-150500.197.2HTTP library with thread-safe connection pooling, file post,
python311-userpath1.9.2-lp156.17.6Tool for adding locations to the user PATH
python311-userpath1.9.2-lp155.18.4Tool for adding locations to the user PATH
python311-userpath1.9.2-lp156.18.6Tool for adding locations to the user PATH
python311-userpath1.9.2-lp155.18.6Tool for adding locations to the user PATH
python311-userpath1.9.2-lp156.18.4Tool for adding locations to the user PATH
python311-uvicorn0.29.0-lp156.39.5An Asynchronous Server Gateway Interface server
python311-uvicorn0.29.0-lp156.40.5An Asynchronous Server Gateway Interface server
python311-uvicorn0.29.0-lp156.42.5An Asynchronous Server Gateway Interface server
python311-uvicorn0.29.0-lp155.40.4An Asynchronous Server Gateway Interface server
python311-uvicorn0.29.0-lp155.42.5An Asynchronous Server Gateway Interface server
python311-virtue2023.8.2-lp156.18.8After trial comes virtue. A test runner for good
python311-virtue2023.8.2-lp155.18.8After trial comes virtue. A test runner for good
python311-virtue2023.8.2-lp156.16.4After trial comes virtue. A test runner for good
python311-virtue2023.8.2-lp156.15.10After trial comes virtue. A test runner for good
python311-virtue2023.8.2-lp155.16.4After trial comes virtue. A test runner for good
python311-virtue2023.8.2-lp156.31.10After trial comes virtue. A test runner for good
python311-vobject0.9.7-slfo.1.1.2Python package for parsing and creating iCalendar and vCard
python311-vobject0.9.7-slfo.1.1.2Python package for parsing and creating iCalendar and vCard
python311-wcmatch8.5.2-lp156.14.2Wildcard/glob file name matcher
python311-wcmatch8.5.2-lp156.17.2Wildcard/glob file name matcher
python311-zhon2.0.2-lp156.13.10Constants used in Chinese text processing
python311-zhon2.0.2-lp156.14.10Constants used in Chinese text processing
python311-zhon2.0.2-lp155.14.11Constants used in Chinese text processing
python312-aioruuvigateway0.1.0-2.67An asyncio-native library for requesting data from a Ruuvi G
python312-aioruuvigateway0.1.0-5.62An asyncio-native library for requesting data from a Ruuvi G
python312-annotated-types0.5.0-4.30Data validation and settings management using python type hi
python312-azure-identity1.17.1-1.1Azure Identity client library for Python
python312-azure-identity1.17.1-1.1Azure Identity client library for Python
python312-azure-identity1.17.1-1.1Azure Identity client library for Python
python312-azure-identity1.17.1-1.1Azure Identity client library for Python
python312-azure-identity1.17.1-1.1Azure Identity client library for Python
python312-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python312-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python312-azure-mgmt-powerbiembedded3.0.0-20.17Microsoft Azure Power BI Embedded Management Client Library
python312-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python312-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python312-azure-mgmt-powerbiembedded3.0.0-1.1Microsoft Azure Power BI Embedded Management Client Library
python312-datashader0.16.2-1.1Data visualization toolchain based on aggregating into a gri
python312-djangorestframework-simplejwt5.3.1-1.1JSON Web Token authentication for Django REST Framework
python312-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python312-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python312-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python312-google-resumable-media2.7.1-1.1Utilities for Google Media Downloads and Resumable Uploads
python312-googleapis-common-protos1.63.1-1.1Common protobufs used in Google APIs
python312-hatchling1.25.0-2.1Build backend used by Hatch
python312-linuxpy0.10.0-2.15Human friendly interface to linux subsystems using python
python312-linuxpy0.10.0-2.7Human friendly interface to linux subsystems using python
python312-linuxpy0.10.0-2.13Human friendly interface to linux subsystems using python
python312-proselint0.14.0-1.1A linter for prose
python312-proselint0.14.0-1.1A linter for prose
python312-proselint0.14.0-35.5A linter for prose
python312-proselint0.14.0-1.1A linter for prose
python312-proselint0.14.0-1.1A linter for prose
python312-proselint0.14.0-35.13A linter for prose
python312-proselint0.14.0-1.1A linter for prose
python312-proton-vpn-killswitch-network-manager0.4.5-1.1Proton VPN kill switch interface using NetworkManager
python312-proton-vpn-killswitch-network-manager0.4.5-1.1Proton VPN kill switch interface using NetworkManager
python312-pyperf2.7.0-1.1Python module to run and analyze benchmarks
python312-pyperf2.7.0-4.1Python module to run and analyze benchmarks
python312-pyperf2.7.0-1.1Python module to run and analyze benchmarks
python312-pyperf2.7.0-4.1Python module to run and analyze benchmarks
python312-pyperf2.7.0-21.15Python module to run and analyze benchmarks
python312-pyperf2.7.0-1.1Python module to run and analyze benchmarks
python312-pyperf2.7.0-21.8Python module to run and analyze benchmarks
python312-python-mpv1.0.7-44.15Python interface to the mpv media player
python312-python-mpv1.0.7-1.1Python interface to the mpv media player
python312-python-mpv1.0.7-1.1Python interface to the mpv media player
python312-python-mpv1.0.7-1.1Python interface to the mpv media player
python312-python-mpv1.0.7-1.1Python interface to the mpv media player
python312-python-mpv1.0.7-1.1Python interface to the mpv media player
python312-python-mpv1.0.7-44.8Python interface to the mpv media player
python312-pytools2024.1.5-48.1A collection of tools for Python
python312-pytools2024.1.5-46.15A collection of tools for Python
python312-pytools2024.1.5-1.1A collection of tools for Python
python312-pytools2024.1.5-1.1A collection of tools for Python
python312-pytools2024.1.5-45.13A collection of tools for Python
python312-pytools2024.1.5-48.1A collection of tools for Python
python312-pytools2024.1.5-1.2A collection of tools for Python
python312-pytools2024.1.5-45.6A collection of tools for Python
python312-pytools2024.1.5-1.2A collection of tools for Python
python312-pytools2024.1.5-1.1A collection of tools for Python
python312-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python312-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python312-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python312-pyupgrade3.16.0-1.1A tool to automatically upgrade syntax for newer versions
python312-ruff0.4.10-1.1An extremely fast Python linter, written in Rust
python312-ruff0.4.10-1.0.4.1.sr20240605An extremely fast Python linter, written in Rust
python39-guessit3.8.0-lp154.4.1A library for guessing information from video files
python39-proselint0.14.0-lp154.2.1A linter for prose
qca-qt52.3.9-2.11Qt Cryptographic Architecture 2
qca-qt52.3.9-33.11Qt Cryptographic Architecture 2
qca-qt52.3.9-2.11Qt Cryptographic Architecture 2
qca-qt52.3.9-33.11Qt Cryptographic Architecture 2
qca-qt52.3.9-2.11Qt Cryptographic Architecture 2
qca-qt52.3.9-2.4Qt Cryptographic Architecture 2
qca-qt52.3.9-2.11Qt Cryptographic Architecture 2
qca-qt52.3.9-ku.2.11Qt Cryptographic Architecture 2
qca-qt52.3.9-2.4Qt Cryptographic Architecture 2
qca-qt52.3.9-1.1Qt Cryptographic Architecture 2
qca-qt52.3.9-ku.2.11Qt Cryptographic Architecture 2
qca-qt52.3.9-1.1Qt Cryptographic Architecture 2
qca-qt52.3.9-1.1Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-1.1Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-2.4Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-1.1Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-2.4Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-2.11Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-33.11Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-2.11Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-33.11Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-2.11Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-1.1Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-ku.2.11Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-ku.2.11Development files for the Qt Cryptographic Architecture 2
qca-qt5-devel2.3.9-2.11Development files for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-1.1Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-2.11Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-2.11Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-2.4Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-2.11Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-33.11Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-33.11Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-2.11Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-1.1Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-ku.2.11Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-1.1Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-2.4Various plugins for the Qt Cryptographic Architecture 2
qca-qt5-plugins2.3.9-ku.2.11Various plugins for the Qt Cryptographic Architecture 2
qca-qt62.3.9-1.1Qt Cryptographic Architecture 2
qca-qt62.3.9-2.12Qt Cryptographic Architecture 2
qca-qt62.3.9-ku.2.12Qt Cryptographic Architecture 2
qca-qt62.3.9-33.12Qt Cryptographic Architecture 2
qca-qt62.3.9-1.1Qt Cryptographic Architecture 2
qca-qt62.3.9-2.4Qt Cryptographic Architecture 2
qca-qt62.3.9-34.6Qt Cryptographic Architecture 2
qca-qt62.3.9-2.12Qt Cryptographic Architecture 2
qca-qt62.3.9-33.12Qt Cryptographic Architecture 2
qca-qt62.3.9-1.1Qt Cryptographic Architecture 2
qca-qt62.3.9-ku.2.12Qt Cryptographic Architecture 2
qca-qt62.3.9-2.4Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-1.1Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-33.12Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-34.6Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-33.12Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-1.1Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-2.4Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-1.1Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-2.12Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-ku.2.12Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-2.4Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-ku.2.12Development files for the Qt Cryptographic Architecture 2
qca-qt6-devel2.3.9-2.12Development files for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-1.1Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-1.1Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-ku.2.12Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-2.4Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-1.1Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-34.6Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-2.4Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-33.12Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-ku.2.12Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-33.12Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-2.12Various plugins for the Qt Cryptographic Architecture 2
qca-qt6-plugins2.3.9-2.12Various plugins for the Qt Cryptographic Architecture 2
qmlpluginexports-qt51.0-lp156.4.1Tool to list exports provided by QML plugins
qmlpluginexports-qt51.0-lp155.4.1Tool to list exports provided by QML plugins
qmlpluginexports-qt61.0-lp156.4.1Tool to list exports provided by QML plugins
qmlpluginexports-qt61.0-lp155.4.1Tool to list exports provided by QML plugins
qphotorec7.2-lp155.19.2Graphical tool to Undelete Files
qphotorec7.2-lp154.19.2Graphical tool to Undelete Files
qt6-base-common-devel6.6.2-lp156.3.1Qt 6 Core development utilities
qt6-base-common-devel6.6.2-lp155.3.2Qt 6 Core development utilities
qt6-base-devel6.6.2-lp156.3.1Qt 6 base development meta package
qt6-base-devel6.6.2-lp155.3.2Qt 6 base development meta package
qt6-base-docs-html6.6.2-lp155.3.1Documentation for qt6-base in HTML format
qt6-base-docs-qch6.6.2-lp155.3.1Documentation for qt6-base in QCH format
qt6-base-examples6.6.2-lp155.3.2Examples for the qt6-base modules
qt6-base-examples6.6.2-lp156.3.1Examples for the qt6-base modules
qt6-base-private-devel6.6.2-lp156.3.1Qt 6 base unstable ABI meta package
qt6-base-private-devel6.6.2-lp155.3.2Qt 6 base unstable ABI meta package
qt6-concurrent-devel6.6.2-lp156.3.1Development files for the Qt 6 Concurrent library
qt6-concurrent-devel6.6.2-lp155.3.2Development files for the Qt 6 Concurrent library
qt6-core-devel6.6.2-lp155.3.2Development files for the Qt 6 Core library
qt6-core-devel6.6.2-lp156.3.1Development files for the Qt 6 Core library
qt6-core-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 Core library
qt6-core-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 Core library
qt6-dbus-devel6.6.2-lp156.3.1Development files for the Qt 6 D-Bus library
qt6-dbus-devel6.6.2-lp155.3.2Development files for the Qt 6 D-Bus library
qt6-dbus-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 D-Bus library
qt6-dbus-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 D-Bus library
qt6-declarative-devel6.6.2-lp156.2.1Qt 6 Declarative meta package
qt6-declarative-devel6.6.2-lp155.2.1Qt 6 Declarative meta package
qt6-declarative-docs-html6.6.2-lp156.2.1Documentation for qt6-declarative in HTML format
qt6-declarative-docs-html6.6.2-lp155.2.1Documentation for qt6-declarative in HTML format
qt6-declarative-docs-qch6.6.2-lp155.2.1Documentation for qt6-declarative in QCH format
qt6-declarative-docs-qch6.6.2-lp156.2.1Documentation for qt6-declarative in QCH format
qt6-declarative-examples6.6.2-lp155.2.1Examples for the qt6-declarative module
qt6-declarative-examples6.6.2-lp156.2.1Examples for the qt6-declarative module
qt6-declarative-imports6.6.2-lp155.2.1Qt 6 Declarative QML files and plugins
qt6-declarative-imports6.6.2-lp156.2.1Qt 6 Declarative QML files and plugins
qt6-declarative-private-devel6.6.2-lp155.2.1Qt 6 Declarative unstable ABI meta package
qt6-declarative-private-devel6.6.2-lp156.2.1Qt 6 Declarative unstable ABI meta package
qt6-declarative-tools6.6.2-lp156.2.1Qt 6 Declarative Tools
qt6-declarative-tools6.6.2-lp155.2.1Qt 6 Declarative Tools
qt6-designer-devel6.6.2-lp155.3.1Qt 6 Designer libraries - Development files
qt6-designer-devel6.6.2-lp156.3.1Qt 6 Designer libraries - Development files
qt6-designer-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 Designer libraries
qt6-designer-private-devel6.6.2-lp155.3.1Non-ABI stable API for the Qt 6 Designer libraries
qt6-designercomponents-private-devel6.6.2-lp156.3.1Development files for the Qt 6 DesignerComponents library
qt6-designercomponents-private-devel6.6.2-lp155.3.1Development files for the Qt 6 DesignerComponents library
qt6-docs-common6.6.2-lp156.3.1Common files for building documentation
qt6-docs-common6.6.2-lp155.3.2Common files for building documentation
qt6-exampleicons-devel-static6.6.2-lp156.3.1Qt ExampleIcons module
qt6-exampleicons-devel-static6.6.2-lp155.3.2Qt ExampleIcons module
qt6-grpc-devel6.7.2-2.1Qt 6 Grpc library - Development files
qt6-grpc-devel6.7.2-2.2Qt 6 Grpc library - Development files
qt6-grpc-devel6.7.2-2.1Qt 6 Grpc library - Development files
qt6-grpc-docs-html6.7.2-2.1Documentation for qt6-grpc in HTML format
qt6-grpc-docs-html6.7.2-2.1Documentation for qt6-grpc in HTML format
qt6-grpc-docs-html6.7.2-2.1Documentation for qt6-grpc in HTML format
qt6-grpc-docs-qch6.7.2-2.1Documentation for qt6-grpc in QCH format
qt6-grpc-docs-qch6.7.2-2.1Documentation for qt6-grpc in QCH format
qt6-grpc-docs-qch6.7.2-2.1Documentation for qt6-grpc in QCH format
qt6-grpc-examples6.7.2-2.2Examples for the qt6-grpc modules
qt6-grpc-examples6.7.2-2.1Examples for the qt6-grpc modules
qt6-grpc-examples6.7.2-2.1Examples for the qt6-grpc modules
qt6-grpc-imports6.7.2-2.2Qt 6 Grpc QML files and plugins
qt6-grpc-imports6.7.2-2.1Qt 6 Grpc QML files and plugins
qt6-grpc-imports6.7.2-2.1Qt 6 Grpc QML files and plugins
qt6-grpc-private-devel6.7.2-2.1Non-ABI stable API for the Qt 6 Grpc Library
qt6-grpc-private-devel6.7.2-2.2Non-ABI stable API for the Qt 6 Grpc Library
qt6-grpc-private-devel6.7.2-2.1Non-ABI stable API for the Qt 6 Grpc Library
qt6-gui-devel6.6.2-lp155.3.2Development files for the Qt 6 GUI libraries
qt6-gui-devel6.6.2-lp156.3.1Development files for the Qt 6 GUI libraries
qt6-gui-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 GUI libraries
qt6-gui-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 GUI libraries
qt6-help-devel6.6.2-lp155.3.1Qt 6 Help library - Development files
qt6-help-devel6.6.2-lp156.3.1Qt 6 Help library - Development files
qt6-help-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 Help library
qt6-help-private-devel6.6.2-lp155.3.1Non-ABI stable API for the Qt 6 Help library
qt6-jsonrpc-private-devel6.6.2-lp155.5.1Qt 6 JsonRpc library - Development files
qt6-jsonrpc-private-devel6.6.2-lp156.5.1Qt 6 JsonRpc library - Development files
qt6-kmssupport-devel-static6.6.2-lp156.3.1Qt KmsSupport module
qt6-kmssupport-devel-static6.6.2-lp155.3.2Qt KmsSupport module
qt6-kmssupport-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 KMSSupport library
qt6-kmssupport-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 KMSSupport library
qt6-labsanimation-devel6.6.2-lp156.2.1Qt 6 LabsAnimation library - Development files
qt6-labsanimation-devel6.6.2-lp155.2.1Qt 6 LabsAnimation library - Development files
qt6-labsanimation-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 LabsAnimation library
qt6-labsanimation-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 LabsAnimation library
qt6-labsfolderlistmodel-devel6.6.2-lp155.2.1Qt 6 LabsFolderListModel library - Development files
qt6-labsfolderlistmodel-devel6.6.2-lp156.2.1Qt 6 LabsFolderListModel library - Development files
qt6-labsfolderlistmodel-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 LabsFolderListModel library
qt6-labsfolderlistmodel-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 LabsFolderListModel library
qt6-labsqmlmodels-devel6.6.2-lp155.2.1Qt 6 LabsQmlModels library - Development files
qt6-labsqmlmodels-devel6.6.2-lp156.2.1Qt 6 LabsQmlModels library - Development files
qt6-labsqmlmodels-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 LabsQmlModels library
qt6-labsqmlmodels-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 LabsQmlModels library
qt6-labssettings-devel6.6.2-lp155.2.1Qt 6 LabsSettings library - Development files
qt6-labssettings-devel6.6.2-lp156.2.1Qt 6 LabsSettings library - Development files
qt6-labssettings-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 LabsSettings library
qt6-labssettings-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 LabsSettings library
qt6-labssharedimage-devel6.6.2-lp155.2.1Qt 6 LabsSharedImage library - Development files
qt6-labssharedimage-devel6.6.2-lp156.2.1Qt 6 LabsSharedImage library - Development files
qt6-labssharedimage-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 LabsSharedImage library
qt6-labssharedimage-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 LabsSharedImage library
qt6-labswavefrontmesh-devel6.6.2-lp156.2.1Qt 6 LabsWavefrontMesh library - Development files
qt6-labswavefrontmesh-devel6.6.2-lp155.2.1Qt 6 LabsWavefrontMesh library - Development files
qt6-labswavefrontmesh-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 LabsWavefrontMesh library
qt6-labswavefrontmesh-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 LabsWavefrontMesh library
qt6-languageserver-private-devel6.6.2-lp155.5.1Qt 6 LanguageServer library - Development files
qt6-languageserver-private-devel6.6.2-lp156.5.1Qt 6 LanguageServer library - Development files
qt6-linguist-devel6.6.2-lp156.3.1Qt 6 linguist tools - Development files
qt6-linguist-devel6.6.2-lp155.3.1Qt 6 linguist tools - Development files
qt6-macros20240131-lp155.9.1RPM macros for Qt6 packages
qt6-macros20240131-lp156.9.1RPM macros for Qt6 packages
qt6-network-devel6.6.2-lp155.3.2Development files for the Qt 6 Network library
qt6-network-devel6.6.2-lp156.3.1Development files for the Qt 6 Network library
qt6-network-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 Network library
qt6-network-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 Network library
qt6-network-tls6.6.2-lp155.3.2Backends used to handle secure connections
qt6-network-tls6.6.2-lp156.3.1Backends used to handle secure connections
qt6-networkinformation-glib6.6.2-lp155.3.2Network information for QNetworkInformation using GNetworkMo
qt6-networkinformation-glib6.6.2-lp156.3.1Network information for QNetworkInformation using GNetworkMo
qt6-networkinformation-nm6.6.2-lp156.3.1Network information for QNetworkInformation
qt6-networkinformation-nm6.6.2-lp155.3.2Network information for QNetworkInformation
qt6-opengl-devel6.6.2-lp155.3.2Development files for the Qt 6 OpenGL library
qt6-opengl-devel6.6.2-lp156.3.1Development files for the Qt 6 OpenGL library
qt6-opengl-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 OpenGL library
qt6-opengl-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 OpenGL library
qt6-openglwidgets-devel6.6.2-lp156.3.1Development files for the Qt 6 OpenGLWidgets library
qt6-openglwidgets-devel6.6.2-lp155.3.2Development files for the Qt 6 OpenGLWidgets library
qt6-packetprotocol-devel-static6.6.2-lp156.2.1Qt6 PacketProtocol static library
qt6-packetprotocol-devel-static6.6.2-lp155.2.1Qt6 PacketProtocol static library
qt6-platformsupport-devel-static6.6.2-lp155.3.2Qt PlatformSupport module
qt6-platformsupport-devel-static6.6.2-lp156.3.1Qt PlatformSupport module
qt6-platformsupport-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt6 PlatformSupport library
qt6-platformsupport-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt6 PlatformSupport library
qt6-platformtheme-gtk36.6.2-lp156.3.1Qt 6 GTK3 plugin
qt6-platformtheme-gtk36.6.2-lp155.3.2Qt 6 GTK3 plugin
qt6-platformtheme-xdgdesktopportal6.6.2-lp156.3.1Qt 6 XDG Desktop Portal Plugin
qt6-platformtheme-xdgdesktopportal6.6.2-lp155.3.2Qt 6 XDG Desktop Portal Plugin
qt6-printsupport-cups6.6.2-lp155.3.2Qt 6 CUPS plugin
qt6-printsupport-cups6.6.2-lp156.3.1Qt 6 CUPS plugin
qt6-printsupport-devel6.6.2-lp156.3.1Development files for the Qt 6 PrintSupport library
qt6-printsupport-devel6.6.2-lp155.3.2Development files for the Qt 6 PrintSupport library
qt6-printsupport-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 PrintSupport library
qt6-printsupport-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 PrintSupport library
qt6-protobuf-devel6.7.2-2.2Qt 6 Protobuf library - Development files
qt6-protobuf-devel6.7.2-2.1Qt 6 Protobuf library - Development files
qt6-protobuf-devel6.7.2-2.1Qt 6 Protobuf library - Development files
qt6-protobuf-private-devel6.7.2-2.2Non-ABI stable API for the Qt 6 Protobuf Library
qt6-protobuf-private-devel6.7.2-2.1Non-ABI stable API for the Qt 6 Protobuf Library
qt6-protobuf-private-devel6.7.2-2.1Non-ABI stable API for the Qt 6 Protobuf Library
qt6-qml-devel6.6.2-lp156.2.1Qt 6 Qml library - Development files
qt6-qml-devel6.6.2-lp155.2.1Qt 6 Qml library - Development files
qt6-qml-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 Qml library
qt6-qml-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 Qml library
qt6-qmlcompiler-devel6.6.2-lp155.2.1Qt 6 QmlCompiler library - Development files
qt6-qmlcompiler-devel6.6.2-lp156.2.1Qt 6 QmlCompiler library - Development files
qt6-qmlcompiler-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QmlCompiler library
qt6-qmlcompiler-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QmlCompiler library
qt6-qmlcore-devel6.6.2-lp156.2.1Qt 6 QmlCore library - Development files
qt6-qmlcore-devel6.6.2-lp155.2.1Qt 6 QmlCore library - Development files
qt6-qmlcore-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QmlCore library
qt6-qmlcore-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QmlCore library
qt6-qmldebug-devel-static6.6.2-lp155.2.1Qt6 QmlDebug static library
qt6-qmldebug-devel-static6.6.2-lp156.2.1Qt6 QmlDebug static library
qt6-qmldom-devel-static6.6.2-lp156.2.1Qt6 QmlDom static library
qt6-qmldom-devel-static6.6.2-lp155.2.1Qt6 QmlDom static library
qt6-qmllocalstorage-devel6.6.2-lp156.2.1Qt 6 QmlLocalStorage library - Development files
qt6-qmllocalstorage-devel6.6.2-lp155.2.1Qt 6 QmlLocalStorage library - Development files
qt6-qmllocalstorage-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QmlLocalStorage library
qt6-qmllocalstorage-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QmlLocalStorage library
qt6-qmlls-devel-static6.6.2-lp155.2.1Qt6 QmlLS static library
qt6-qmlls-devel-static6.6.2-lp156.2.1Qt6 QmlLS static library
qt6-qmlmodels-devel6.6.2-lp156.2.1Qt 6 QmlModels library - Development files
qt6-qmlmodels-devel6.6.2-lp155.2.1Qt 6 QmlModels library - Development files
qt6-qmlmodels-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QmlModels library
qt6-qmlmodels-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QmlModels library
qt6-qmltoolingsettings-devel-static6.6.2-lp155.2.1Qt6 QmlToolingSettings static library
qt6-qmltoolingsettings-devel-static6.6.2-lp156.2.1Qt6 QmlToolingSettings static library
qt6-qmltyperegistrar-devel-static6.6.2-lp156.2.1Qt6 QmlTypeRegistrar static library
qt6-qmltyperegistrar-devel-static6.6.2-lp155.2.1Qt6 QmlTypeRegistrar static library
qt6-qmlworkerscript-devel6.6.2-lp156.2.1Qt 6 QmlModels library - Development files
qt6-qmlworkerscript-devel6.6.2-lp155.2.1Qt 6 QmlModels library - Development files
qt6-qmlworkerscript-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QmlWorkerScript library
qt6-qmlworkerscript-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QmlWorkerScript library
qt6-qmlxmllistmodel-devel6.6.2-lp156.2.1Qt 6 QmlXmlListModel library - Development files
qt6-qmlxmllistmodel-devel6.6.2-lp155.2.1Qt 6 QmlXmlListModel library - Development files
qt6-qmlxmllistmodel-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QmlXmlListModel library
qt6-qmlxmllistmodel-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QmlXmlListModel library
qt6-quick-devel6.6.2-lp156.2.1Qt 6 Quick library - Development files
qt6-quick-devel6.6.2-lp155.2.1Qt 6 Quick library - Development files
qt6-quick-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 Quick library
qt6-quick-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 Quick library
qt6-quickcontrols2-devel6.6.2-lp156.2.1Qt 6 QuickControls2 library - Development files
qt6-quickcontrols2-devel6.6.2-lp155.2.1Qt 6 QuickControls2 library - Development files
qt6-quickcontrols2-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QuickControls2 library
qt6-quickcontrols2-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QuickControls2 library
qt6-quickcontrols2impl-devel6.6.2-lp155.2.1Qt6 QuickControls2Impl library - Development files
qt6-quickcontrols2impl-devel6.6.2-lp156.2.1Qt6 QuickControls2Impl library - Development files
qt6-quickcontrols2impl-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QuickControls2Impl library
qt6-quickcontrols2impl-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QuickControls2Impl library
qt6-quickcontrolstestutils-devel-static6.6.2-lp156.2.1Qt6 QuickControlsTestUtils static library
qt6-quickcontrolstestutils-devel-static6.6.2-lp155.2.1Qt6 QuickControlsTestUtils static library
qt6-quickdialogs2-devel6.6.2-lp156.2.1Qt6 QuickDialogs2 library - Development files
qt6-quickdialogs2-devel6.6.2-lp155.2.1Qt6 QuickDialogs2 library - Development files
qt6-quickdialogs2-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QuickDialogs2 library
qt6-quickdialogs2-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QuickDialogs2 library
qt6-quickdialogs2quickimpl-devel6.6.2-lp155.2.1Qt6 QuickDialogs2Impl library - Development files
qt6-quickdialogs2quickimpl-devel6.6.2-lp156.2.1Qt6 QuickDialogs2Impl library - Development files
qt6-quickdialogs2quickimpl-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QuickDialogs2Impl library
qt6-quickdialogs2quickimpl-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QuickDialogs2Impl library
qt6-quickdialogs2utils-devel6.6.2-lp156.2.1Qt6 QuickDialogs2Utils library - Development files
qt6-quickdialogs2utils-devel6.6.2-lp155.2.1Qt6 QuickDialogs2Utils library - Development files
qt6-quickdialogs2utils-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QuickDialogs2Utils library
qt6-quickdialogs2utils-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QuickDialogs2Utils library
qt6-quickeffects-private-devel6.6.2-lp156.2.1Qt 6 QuickEffects library - Development files
qt6-quickeffects-private-devel6.6.2-lp155.2.1Qt 6 QuickEffects library - Development files
qt6-quicklayouts-devel6.6.2-lp156.2.1Qt 6 QuickLayouts library - Development files
qt6-quicklayouts-devel6.6.2-lp155.2.1Qt 6 QuickLayouts library - Development files
qt6-quicklayouts-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QuickLayouts library
qt6-quicklayouts-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QuickLayouts library
qt6-quickparticles-private-devel6.6.2-lp155.2.1Qt 6 QuickParticles library - Development files
qt6-quickparticles-private-devel6.6.2-lp156.2.1Qt 6 QuickParticles library - Development files
qt6-quickshapes-private-devel6.6.2-lp156.2.1Qt 6 QuickShapes library - Development files
qt6-quickshapes-private-devel6.6.2-lp155.2.1Qt 6 QuickShapes library - Development files
qt6-quicktemplates2-devel6.6.2-lp155.2.1Qt6 QuickTemplates2 library - Development files
qt6-quicktemplates2-devel6.6.2-lp156.2.1Qt6 QuickTemplates2 library - Development files
qt6-quicktemplates2-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QuickTemplates2 library
qt6-quicktemplates2-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QuickTemplates2 library
qt6-quicktest-devel6.6.2-lp155.2.1Qt 6 QuickTest library - Development files
qt6-quicktest-devel6.6.2-lp156.2.1Qt 6 QuickTest library - Development files
qt6-quicktest-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QuickTest library
qt6-quicktest-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QuickTest library
qt6-quicktestutils-devel-static6.6.2-lp155.2.1Qt6 QuickTestUtils static library
qt6-quicktestutils-devel-static6.6.2-lp156.2.1Qt6 QuickTestUtils static library
qt6-quickwidgets-devel6.6.2-lp156.2.1Qt 6 QuickWidgets library - Development files
qt6-quickwidgets-devel6.6.2-lp155.2.1Qt 6 QuickWidgets library - Development files
qt6-quickwidgets-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 QuickWidgets library
qt6-quickwidgets-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 QuickWidgets library
qt6-shadertools6.6.2-lp155.2.1Qt 6 ShaderTools library
qt6-shadertools6.6.2-lp156.2.1Qt 6 ShaderTools library
qt6-shadertools-devel6.6.2-lp156.2.1Qt 6 ShaderTools library - Development files
qt6-shadertools-devel6.6.2-lp155.2.1Qt 6 ShaderTools library - Development files
qt6-shadertools-docs-html6.6.2-lp155.2.1Documentation for qt6-shadertools in HTML format
qt6-shadertools-docs-html6.6.2-lp156.2.1Documentation for qt6-shadertools in HTML format
qt6-shadertools-docs-qch6.6.2-lp155.2.1Documentation for qt6-shadertools in QCH format
qt6-shadertools-docs-qch6.6.2-lp156.2.1Documentation for qt6-shadertools in QCH format
qt6-shadertools-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 ShaderTools library
qt6-shadertools-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 ShaderTools library
qt6-sql-devel6.6.2-lp155.3.2Development files for the Qt 6 SQL library
qt6-sql-devel6.6.2-lp156.3.1Development files for the Qt 6 SQL library
qt6-sql-mysql6.6.2-lp155.3.2Qt 6 MySQL support
qt6-sql-mysql6.6.2-lp156.3.1Qt 6 MySQL support
qt6-sql-postgresql6.6.2-lp155.3.2Qt 6 PostgreSQL plugin
qt6-sql-postgresql6.6.2-lp156.3.1Qt 6 PostgreSQL plugin
qt6-sql-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 SQL library
qt6-sql-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 SQL library
qt6-sql-sqlite6.6.2-lp155.3.2Qt 6 SQLite plugin
qt6-sql-sqlite6.6.2-lp156.3.1Qt 6 SQLite plugin
qt6-sql-unixODBC6.6.2-lp155.3.2Qt 6 unixODBC plugin
qt6-sql-unixODBC6.6.2-lp156.3.1Qt 6 unixODBC plugin
qt6-svg-devel6.6.2-lp155.2.1Qt 6 SVG libraries - Development files
qt6-svg-devel6.6.2-lp156.2.1Qt 6 SVG libraries - Development files
qt6-svg-docs-html6.6.2-lp156.2.1Documentation for qt6-svg in HTML format
qt6-svg-docs-html6.6.2-lp155.2.1Documentation for qt6-svg in HTML format
qt6-svg-docs-qch6.6.2-lp156.2.1Documentation for qt6-svg in QCH format
qt6-svg-docs-qch6.6.2-lp155.2.1Documentation for qt6-svg in QCH format
qt6-svg-private-devel6.6.2-lp156.2.1Non-ABI stable API for the Qt 6 SVG libraries
qt6-svg-private-devel6.6.2-lp155.2.1Non-ABI stable API for the Qt 6 SVG libraries
qt6-test-devel6.6.2-lp155.3.2Development files for the Qt 6 Test library
qt6-test-devel6.6.2-lp156.3.1Development files for the Qt 6 Test library
qt6-test-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 Test library
qt6-test-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 Test library
qt6-tools6.6.2-lp155.3.1Qt 6 Tools libraries and tools
qt6-tools6.6.2-lp156.3.1Qt 6 Tools libraries and tools
qt6-tools-assistant6.6.2-lp156.3.1Documentation browser
qt6-tools-assistant6.6.2-lp155.3.1Documentation browser
qt6-tools-designer6.6.2-lp155.3.1Qt graphical interface creation tool
qt6-tools-designer6.6.2-lp156.3.1Qt graphical interface creation tool
qt6-tools-devel6.6.2-lp156.3.1Qt 6 Tools libraries - Development files
qt6-tools-devel6.6.2-lp155.3.1Qt 6 Tools libraries - Development files
qt6-tools-docs-html6.6.2-lp156.3.1Documentation for qt6-tools in HTML format
qt6-tools-docs-html6.6.2-lp155.3.1Documentation for qt6-tools in HTML format
qt6-tools-docs-qch6.6.2-lp156.3.1Documentation for qt6-tools in QCH format
qt6-tools-docs-qch6.6.2-lp155.3.1Documentation for qt6-tools in QCH format
qt6-tools-examples6.6.2-lp156.3.1Examples for the qt6-tools modules
qt6-tools-examples6.6.2-lp155.3.1Examples for the qt6-tools modules
qt6-tools-helpgenerators6.6.2-lp156.3.1Qt Help files generator
qt6-tools-helpgenerators6.6.2-lp155.3.1Qt Help files generator
qt6-tools-linguist6.6.2-lp156.3.1Translation tool for Qt applications
qt6-tools-linguist6.6.2-lp155.3.1Translation tool for Qt applications
qt6-tools-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 tools libraries
qt6-tools-private-devel6.6.2-lp155.3.1Non-ABI stable API for the Qt 6 tools libraries
qt6-tools-qdbus6.6.2-lp155.3.1Command line client for communication over D-Bus
qt6-tools-qdbus6.6.2-lp156.3.1Command line client for communication over D-Bus
qt6-tools-qdoc6.6.2-lp156.3.1Qt 6 Tool used by Qt to generate documentation
qt6-tools-qdoc6.6.2-lp155.3.1Qt 6 Tool used by Qt to generate documentation
qt6-uitools-devel6.6.2-lp155.3.1Qt 6 UiTools library - Development files
qt6-uitools-devel6.6.2-lp156.3.1Qt 6 UiTools library - Development files
qt6-uitools-private-devel6.6.2-lp155.3.1Non-ABI stable API for the Qt 6 UiTools library
qt6-uitools-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 UiTools library
qt6-widgets-devel6.6.2-lp155.3.2Development files for the Qt 6 Widgets library
qt6-widgets-devel6.6.2-lp156.3.1Development files for the Qt 6 Widgets library
qt6-widgets-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 Widgets library
qt6-widgets-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 Widgets library
qt6-xml-devel6.6.2-lp156.3.1Development files for the Qt 6 XML library
qt6-xml-devel6.6.2-lp155.3.2Development files for the Qt 6 XML library
qt6-xml-private-devel6.6.2-lp155.3.2Non-ABI stable API for the Qt 6 XML library
qt6-xml-private-devel6.6.2-lp156.3.1Non-ABI stable API for the Qt 6 XML library
qtdeclarative-imports-provides-qt51.0-lp155.2.1RPM provides for QML modules from qtdeclarative
qtdeclarative-imports-provides-qt51.0-lp156.2.1RPM provides for QML modules from qtdeclarative
quakespasm-spiked0~git20240620.455bd13-1.11A Quake Engine based on QuakeSpasm
quakespasm-spiked0~git20240620.455bd13-lp154.3.1A Quake Engine based on QuakeSpasm
quakespasm-spiked0~git20240620.455bd13-lp155.3.1A Quake Engine based on QuakeSpasm
quakespasm-spiked0~git20240620.455bd13-4.9A Quake Engine based on QuakeSpasm
quakespasm-spiked0~git20240620.455bd13-1.11A Quake Engine based on QuakeSpasm
quakespasm-spiked0~git20240620.455bd13-lp156.3.1A Quake Engine based on QuakeSpasm
R-A31.0.0-lp156.2.1Accurate, Adaptable, and Accessible Error Metrics for Predic
R-AalenJohansen1.0-lp156.1.1Conditional Aalen-Johansen Estimation
R-aba0.0.9-lp156.2.1Automated Biomarker Analysis
R-ABACUS1.0.0-lp156.20.1Apps Based Activities for Communicating and Understanding St
R-abasequence0.1.0-lp156.1.1Coding \'ABA\' Patterns for Sequence Data
R-abbreviate0.1-lp156.1.1Readable String Abbreviation
R-abbyyR0.5.5-lp156.13.1Access to Abbyy Optical Character Recognition (OCR) API
R-abc.data1.1-lp156.2.1Data Only: Tools for Approximate Bayesian Computation (ABC)
R-ABC.RAP0.9.0-lp156.2.1Array Based CpG Region Analysis Pipeline
R-ABCanalysis1.2.1-lp156.2.1Computed ABC Analysis
R-ABCp21.2-lp156.2.1Approximate Bayesian Computational Model for Estimating P2
R-abcrlda1.0.3-lp156.2.1Asymptotically Bias-Corrected Regularized Linear Discriminan
R-abd0.2.8-lp156.24.1The Analysis of Biological Data
R-abdiv0.2.0-lp156.4.1Alpha and Beta Diversity Measures
R-abe3.0.1-lp156.2.1Augmented Backward Elimination
R-abf20.7.1-lp156.2.1Load Gap-Free Axon ABF2 Files
R-abglasso0.1.1-lp156.1.1Adaptive Bayesian Graphical Lasso
R-ABHgenotypeR1.0.1-lp156.15.1Easy Visualization of ABH Genotypes
R-abjData1.1.2-lp156.1.1Databases Used Routinely by the Brazilian Jurimetrics Associ
R-abjutils0.3.2-lp156.9.1Useful Tools for Jurimetrical Analysis Used by the Brazilian
R-abnormality0.1.0-lp156.2.1Measure a Subject\'s Abnormality with Respect to a Reference
R-abodOutlier0.1-lp156.2.1Angle-Based Outlier Detection
R-ABPS0.3-lp156.2.1The Abnormal Blood Profile Score to Detect Blood Doping
R-abseil2023.8.2.1-lp156.1.1\'C++\' Header Files from \'Abseil\'
R-abseil-devel2023.8.2.1-lp156.1.1Development files for Abseil
R-AbSim0.2.6-lp156.2.1Time Resolved Simulations of Antibody Repertoires
R-abstr0.4.1-lp156.7.1R Interface to the A/B Street Transport System Simulation So
R-ABSurvTDC0.1.0-lp156.3.1Survival Analysis using Time Dependent Covariate for Animal
R-abundant1.2-lp156.1.1High-Dimensional Principal Fitted Components and Abundant Re
R-Ac3net1.2.2-lp156.2.1Inferring Directional Conservative Causal Core Gene Networks
R-ACA1.1-lp156.2.1Abrupt Change-Point or Aberration Detection in Point Series
R-AcademicThemes0.0.2-lp156.1.1Colour Plots with Palettes from Academic Institutions
R-academictwitteR0.3.1-lp156.11.1Access the Twitter Academic Research Product Track V2 API En
R-acca0.2-lp156.6.1A Canonical Correlation Analysis with Inferential Guaranties
R-AccelStab2.0.1-lp156.2.1Accelerated Stability Kinetic Modelling
R-AcceptanceSampling1.0.10-lp156.1.1Creation and evaluation of Acceptance Sampling Plans
R-ACCLMA1.0-lp156.2.1ACC & LMA Graph Plotting
R-accrual1.3-lp156.2.1Bayesian Accrual Prediction
R-accrualPlot1.0.7-lp156.6.1Accrual Plots and Predictions for Clinical Trials
R-accrued1.4.1-lp156.1.1Data Quality Visualization Tools for Partially Accruing Data
R-accSDA1.1.3-lp156.2.1Accelerated Sparse Discriminant Analysis
R-accucor0.3.1-lp156.2.1Natural Abundance Correction of Mass Spectrometer Data
R-accumulate0.9.3-lp156.1.1Split-Apply-Combine with Dynamic Groups
R-ACD1.5.3-lp156.2.1Categorical data analysis with complete or missing responses
R-ACDC1.0.0-lp156.9.1Analysis of Congruent Diversification Classes
R-acdcquery1.0.1-lp156.2.1Query the Attentional Control Data Collection
R-acdcR1.0.0-lp156.3.1Agro-Climatic Data by County
R-ACDm1.0.4.3-lp156.1.1Tools for Autoregressive Conditional Duration Models
R-ace2fastq0.6.0-lp156.7.1ACE File to FASTQ Converter
R-ACEP0.0.22-lp156.1.1Analisis Computacional de Eventos de Protesta
R-acepack1.4.2-lp156.1.1ACE and AVAS for Selecting Multiple Regression Transformatio
R-acfMPeriod1.0.0-lp156.2.1Robust Estimation of the ACF from the M-Periodogram
R-acled.api1.1.8-lp156.2.1Automated Retrieval of ACLED Conflict Event Data
R-acmeR1.1.0-lp156.2.1Implements ACME Estimator of Bird and Bat Mortality by Wind
R-acnr1.0.0-lp156.2.1Annotated Copy-Number Regions
R-acopula0.9.4-lp156.1.1Modelling Dependence with Multivariate Archimax (or any User
R-AcousticNDLCodeR1.0.2-lp156.2.1Coding Sound Files for Use with NDL
R-acp2.1-lp156.3.1Autoregressive Conditional Poisson
R-aCRM0.1.1-lp156.2.1Convenience functions for analytical Customer Relationship M
R-acroname0.1.0-lp156.13.1Engine for Acronyms and Initialisms
R-AcrossTic1.0.3-lp156.2.1A Cost-Minimal Regular Spanning Subgraph with TreeClust
R-acs2.1.4-lp156.7.1Download, Manipulate, and Present American Community Survey
R-ACSNMineR0.16.8.25-lp156.8.1Gene Enrichment Analysis from ACSN Maps or GMT Files
R-acss0.2.5-lp156.2.1Algorithmic Complexity for Short Strings
R-acss.data1.0-lp156.2.1Data Only: Algorithmic Complexity of Short Strings (Computed
R-ACSWR1.0-lp156.2.1A Companion Package for the Book \"A Course in Statistics wi
R-act1.3.1-lp156.3.1Aligned Corpus Toolkit
R-ACTCD1.3.0-lp156.5.1Asymptotic Classification Theory for Cognitive Diagnosis
R-Actigraphy1.4.0-lp156.2.1Actigraphy Data Analysis
R-actilifecounts1.1.1-lp156.2.1Generate Activity Counts from Raw Accelerometer Data
R-ActiveDriver1.0.0-lp156.2.1Finding Cancer Driver Proteins with Enriched Mutations in Po
R-activity1.3.4-lp156.1.1Animal Activity Statistics
R-activityCounts0.1.2-lp156.11.1Generate ActiLife Counts
R-ActivityIndex0.3.7-lp156.1.1Activity Index Calculation using Raw \'Accelerometry\' Data
R-activpalProcessing1.0.2-lp156.2.1Process activPAL Events Files
R-actLifer1.0.0-lp156.1.1Creating Actuarial Life Tables
R-actogrammr0.2.3-lp156.19.1Read in Activity Data and Plot Actograms
R-actuar3.3.4-lp156.1.1Actuarial Functions and Heavy Tailed Distributions
R-ActuarialM0.1.0-lp156.1.1Computation of Actuarial Measures Using Bell G Family
R-actuaryr1.1.1-lp156.15.1Develop Actuarial Models
R-actxps0.2.0-lp156.4.1Create Actuarial Experience Studies: Prepare Data, Summarize
R-ACV1.0.2-lp156.8.1Optimal Out-of-Sample Forecast Evaluation and Testing under
R-ada2.0.5-lp156.2.1The R Package Ada for Stochastic Boosting
R-adabag4.3-lp156.1.1Applies Multiclass AdaBoost.M1, SAMME and Bagging
R-adace1.0.2-lp156.2.1Estimator of the Adherer Average Causal Effect
R-adagio0.9.2-lp156.1.1Discrete and Global Optimization Routines
R-adana1.1.0-lp156.7.1Adaptive Nature-Inspired Algorithms for Hybrid Genetic Optim
R-AdapSamp1.1.1-lp156.2.1Adaptive Sampling Algorithms
R-adaptDiag0.1.0-lp156.2.1Bayesian Adaptive Designs for Diagnostic Trials
R-AdaptFit0.2.2-lp156.2.1Adaptive Semiparametic Regression
R-AdaptFitOS0.69-lp156.1.1Adaptive Semiparametric Additive Regression with Simultaneou
R-adaptivetau2.3.1-lp156.2.1Tau-Leaping Stochastic Simulation
R-adaptMCMC1.5-lp156.1.1Implementation of a Generic Adaptive Monte Carlo Markov Chai
R-adaptMT1.0.0-lp156.2.1Adaptive P-Value Thresholding for Multiple Hypothesis Testin
R-adaptr1.4.0-lp156.2.1Adaptive Trial Simulator
R-adaptTest1.2-lp156.1.1Adaptive Two-Stage Tests
R-adbi0.1.1-lp156.1.1\'DBI\' Compliant Database Access Using \'ADBC\'
R-adc1.0.0-lp156.1.1Calculate Antecedent Discharge Conditions
R-ADCT0.1.0-lp156.2.1Adaptive Design in Clinical Trials
R-add2ggplot0.3.0-lp156.7.1Add to \'ggplot2\'
R-addhaz0.5-lp156.2.1Binomial and Multinomial Additive Hazard Models
R-addhazard1.1.0-lp156.2.1Fit Additive Hazards Models for Survival Analysis
R-addinsJoaoMelo0.1.0-lp156.16.1Addins Made of Joao Melo
R-additive1.0.1-lp156.2.1Bindings for Additive TidyModels
R-additiveDEA1.1-lp156.3.1Additive Data Envelopment Analysis Models
R-additivityTests1.1.4.2-lp156.2.1Additivity Tests in the Two Way Anova with Single Sub-Class
R-addScales1.0.1-lp156.2.1Adds Labeled Center Line and Scale Lines/Regions to Trellis
R-adegenet2.1.10-lp156.9.1Exploratory Analysis of Genetic and Genomic Data
R-adephylo1.1.16-lp156.4.1Exploratory Analyses for the Phylogenetic Comparative Method
R-adeptdata1.1-lp156.1.1Accelerometry Data Sets
R-AdequacyModel2.0.0-lp156.2.1Adequacy of Probabilistic Models and General Purpose Optimiz
R-ADER1.5-lp156.1.1Data analysis in ecology
R-adfExplorer0.1.8-lp156.2.1Import from and Export to Amiga Disk Files
R-adformR0.1.0-lp156.2.1Get Adform Ads Data via the \'Windsor.ai\' API
R-ADGofTest0.3-lp156.2.1Anderson-Darling GoF test
R-adhoc1.1-lp156.11.1Calculate Ad Hoc Distance Thresholds for DNA Barcoding Ident
R-adjclust0.5.99-lp156.2.1Adjacency-Constrained Clustering of a Block-Diagonal Similar
R-adjROC0.3-lp156.3.1Computing Sensitivity at a Fix Value of Specificity and Vice
R-adjustedcranlogs0.1.0-lp156.13.1Remove Automated and Repeated Downloads from \'RStudio\' \'C
R-adklakedata0.6.1-lp156.2.1Adirondack Long-Term Lake Data
R-adlift1.4.5-lp156.1.1An adaptive lifting scheme algorithm
R-ADLP0.1.0-lp156.2.1Accident and Development Period Adjusted Linear Pools for Ac
R-admiral1.1.1-lp156.1.1ADaM in R Asset Library
R-admiral.test0.7.0-lp156.1.1Test Data for the \'admiral\' Package
R-admiraldev1.1.0-lp156.1.1Utility Functions and Development Tools for the Admiral Pack
R-admiralonco1.1.0-lp156.1.1Oncology Extension Package for ADaM in \'R\' Asset Library
R-admiralophtha1.1.0-lp156.1.1ADaM in R Asset Library - Ophthalmology
R-AdMit2.1.9-lp156.1.1Adaptive Mixture of Student-t Distributions
R-admixr0.9.1-lp156.14.1An Interface for Running \'ADMIXTOOLS\' Analyses
R-admixturegraph1.0.2-lp156.9.1Admixture Graph Manipulation and Fitting
R-admmDensestSubmatrix0.1.0-lp156.4.1Alternating Direction Method of Multipliers to Solve Dense D
R-ADMUR1.0.3-lp156.5.1Ancient Demographic Modelling Using Radiocarbon
R-adobeanalyticsr0.4.0-lp156.3.1R Client for \'Adobe Analytics\' API 2.0
R-ADP0.1.6-lp156.1.1Adoption Probability, Triers and Users Rate of a New Product
R-ADPF0.0.1-lp156.2.1Use Least Squares Polynomial Regression and Statistical Test
R-adsDataHubR0.1.1-lp156.5.1Google Ads Data Hub API Client
R-ADTSA1.0.1-lp156.1.1Time Series Analysis
R-AdvancedBasketballStats1.0.1-lp156.1.1Advanced Basketball Statistics
R-AdvBinomApps1.0-lp156.2.1Upper Clopper-Pearson Confidence Limits for Burn-in Studies
R-AdvDif40.7.18-lp156.2.1Solving 1D Advection Bi-Flux Diffusion Equation
R-ADVICE1.0-lp156.1.1Automatic Direct Variable Selection via Interrupted Coeffici
R-adw0.4.0-lp156.2.1Angular Distance Weighting Interpolation
R-adwave1.3-lp156.3.1Wavelet Analysis of Genomic Data from Admixed Populations
R-adwordsR0.3.1-lp156.4.1Access the \'Google Adwords\' API
R-aeddo0.1.1-lp156.2.1Automated and Early Detection of Disease Outbreaks
R-AEDForecasting0.20.0-lp156.17.1Change Point Analysis in ARIMA Forecasting
R-aedseo0.1.2-lp156.1.1Automated and Early Detection of Seasonal Epidemic Onset
R-aemo0.3.0-lp156.7.1Download and Process AEMO Price and Demand Data
R-AEP0.1.4-lp156.1.1Statistical Modelling for Asymmetric Exponential Power Distr
R-AF0.1.5-lp156.3.1Model-Based Estimation of Confounder-Adjusted Attributable F
R-afc1.4.0-lp156.2.1Generalized Discrimination Score
R-afcolours1.0.0-lp156.1.1Government Analysis Function Recommended Accessible Colour P
R-afdx1.1.1-lp156.10.1Diagnosis Performance Using Attributable Fraction
R-AFFECT0.1.2-lp156.1.1Accelerated Functional Failure Time Model with Error-Contami
R-AFheritability0.1.0-lp156.20.1The Attributable Fraction (AF) Described as a Function of Di
R-afmToolkit0.0.1-lp156.16.1Functions for Atomic Force Microscope Force-Distance Curves
R-afpt1.1.0.4-lp156.1.1Tools for Modelling of Animal Flight Performance
R-aftR20.1.0-lp156.1.1R-Squared Measure under Accelerated Failure Time (AFT) Model
R-ag5Tools0.0.2-lp156.1.1Toolbox for Downloading and Extracting Copernicus AgERA5 Dat
R-AGD0.45.0-lp156.2.1Analysis of Growth Data
R-aGE0.0.9-lp156.3.1Adaptive Set-Based Gene-Environment Interaction Test for Rar
R-ageg1.0.0-lp156.1.1Age Grouping Functions
R-agfh0.2.1-lp156.2.1Agnostic Fay-Herriot Model for Small Area Statistics
R-agghoo0.1.0-lp156.1.1Aggregated Hold-Out Cross Validation
R-AggregateR0.1.1-lp156.12.1Aggregate Numeric, Date and Categorical Variables
R-aggregation1.0.1-lp156.2.1p-Value Aggregation Methods
R-AGHmatrix2.1.4-lp156.1.1Relationship Matrices for Diploid and Autopolyploid Species
R-aghq0.4.1-lp156.1.1Adaptive Gauss Hermite Quadrature for Bayesian Inference
R-agop0.2.4-lp156.1.1Aggregation Operators and Preordered Sets
R-agricolae1.3.7-lp156.1.1Statistical Procedures for Agricultural Research
R-agridat1.23-lp156.1.1Agricultural Datasets
R-agrifeature1.0.3-lp156.1.1Agriculture Image Feature
R-agriwater1.0.2-lp156.2.1Evapotranspiration and Energy Fluxes Spatial Analysis
R-agrmt1.42.12-lp156.1.1Calculate Concentration and Dispersion in Ordered Rating Sca
R-agrostab0.1.0-lp156.16.1Stability Analysis for Agricultural Research
R-ags1.0.1-lp156.2.1Crosswalk Municipality and District Statistics in Germany
R-AGSDest2.3.4-lp156.1.1Estimation in Adaptive Group Sequential Trials
R-agsemisc1.3.1-lp156.2.1Miscellaneous plotting and utility functions
R-agvgd0.1.2-lp156.9.1An R Implementation of the \'Align-GVGD\' Method
R-ahaz1.15-lp156.1.1Regularization for Semiparametric Additive Hazards Regressio
R-AHPGaussian0.1.1-lp156.2.1New Multicriteria Method: AHPGaussian
R-AHPhybrid0.1.0-lp156.1.1AHP Hybrid Method
R-ahptopsis2n0.2.0-lp156.1.1Hybrid Method for Multiple Criteria Decision-Making (MCDM)
R-AHSurv0.1.0-lp156.1.1Flexible Parametric Accelerated Hazards Models
R-ahw0.1.0-lp156.3.1Calculates Continuous Time Likelihood Ratio Weights Assuming
R-aidar1.0.5-lp156.3.1Tools for Reading AIDA Files
R-aif3600.1.0-lp156.7.1Help Detect and Mitigate Bias in Machine Learning Models
R-AIM1.01-lp156.1.1AIM: adaptive index model
R-aimPlot1.0.0-lp156.14.1Create Pie Like Plot for Completeness
R-aimsir170.0.2-lp156.11.1Irish Weather Observing Stations Hourly Records for 2017
R-AIPW0.6.3.2-lp156.7.1Augmented Inverse Probability Weighting
R-airGR1.7.6-lp156.1.1Suite of GR Hydrological Models for Precipitation-Runoff Mod
R-airGRdatasets0.2.1-lp156.1.1Hydro-Meteorological Catchments Datasets for the \'airGR\' P
R-airGRdatassim0.1.3-lp156.1.1Ensemble-Based Data Assimilation with GR Hydrological Models
R-aiRly0.1.0-lp156.12.1R Wrapper for \'Airly\' API
R-airnow0.1.0-lp156.3.1Retrieve \'AirNow\' Air Quality Observations and Forecasts
R-airportr0.1.3-lp156.13.1Convenience Tools for Working with Airport Data
R-airports0.1.0-lp156.2.1Data on Airports
R-airqualityES1.0.0-lp156.11.1Air Quality Measurements in Spain from 2011 to 2018
R-airr1.5.0-lp156.2.1AIRR Data Representation Reference Library
R-aiRthermo1.2.1-lp156.2.1Atmospheric Thermodynamics and Visualization
R-Ake1.0.1-lp156.1.1Associated Kernel Estimations
R-akiFlagger0.3.0-lp156.13.1Flags Acute Kidney Injury (AKI)
R-akima0.6.3.4-lp156.1.1Interpolation of Irregularly and Regularly Spaced Data
R-akmbiclust0.1.0-lp156.2.1Alternating K-Means Biclustering
R-akmeans1.1-lp156.2.1Adaptive Kmeans algorithm based on threshold
R-alabama2023.1.0-lp156.1.1Constrained Nonlinear Optimization
R-albatross0.3.8-lp156.2.1PARAFAC Analysis of Fluorescence Excitation-Emission Matrice
R-albopictus0.5-lp156.2.1Age-Structured Population Dynamics Model
R-ald1.3.1-lp156.1.1The Asymmetric Laplace Distribution
R-aldvmm0.8.8-lp156.4.1Adjusted Limited Dependent Variable Mixture Models
R-ALEPlot1.1-lp156.2.1Accumulated Local Effects (ALE) Plots and Partial Dependence
R-alfr1.2.1-lp156.7.1Connectivity to \'Alfresco\' Content Management Repositories
R-alfred0.2.1-lp156.2.1Downloading Time Series from ALFRED Database for Various Vin
R-AlgebraicHaploPackage1.2-lp156.2.1Haplotype Two Snips Out of a Paired Group of Patients
R-algo0.1.0-lp156.8.1Implement an Address Search Auto Completion Menu on \'Shiny\
R-algorithmia0.3.0-lp156.3.1Allows you to Easily Interact with the Algorithmia Platform
R-alien1.0.2-lp156.1.1Estimate Invasive and Alien Species (IAS) Introduction Rates
R-align0.1.0-lp156.1.1A Modified DTW Algorithm for Stratigraphic Time Series Align
R-alignfigR0.1.1-lp156.9.1Visualizing Multiple Sequence Alignments with \'ggplot2\'
R-alineR1.1.4-lp156.2.1Alignment of Phonetic Sequences Using the \'ALINE\' Algorith
R-allan1.01-lp156.2.1Automated Large Linear Analysis Node
R-allcontributors0.2.0-lp156.2.1Acknowledge all Contributors to a Project
R-alleHap0.9.9-lp156.2.1Allele Imputation and Haplotype Reconstruction from Pedigree
R-allelematch2.5.4-lp156.2.1Identifying Unique Multilocus Genotypes where Genotyping Err
R-AlleleRetain2.0.2-lp156.2.1Allele Retention, Inbreeding, and Demography
R-allelic0.1-lp156.2.1A fast, unbiased and exact allelic exact test
R-allestimates0.2.3-lp156.3.1Effect Estimates from All Models
R-allhomes0.3.0-lp156.2.1Extract Past Sales Data from Allhomes.com.au
R-AllMetrics0.2.1-lp156.2.1Calculating Multiple Performance Metrics of a Prediction Mod
R-allofus1.1.0-lp156.2.1Interface for \'All of Us\' Researcher Workbench
R-allometric2.3.0-lp156.1.1Structured Allometric Models for Trees
R-allomr0.3.0-lp156.1.1Removing Allometric Effects of Body Size in Morphological An
R-AllPossibleSpellings1.1-lp156.2.1Computes all of a word\'s possible spellings.
R-Allspice1.0.7-lp156.1.1RNA-Seq Profile Classifier
R-alluvial0.1.2-lp156.2.1Alluvial Diagrams
R-alphaci1.0.1-lp156.1.1Confidence Intervals for Coefficient Alpha and Standardized
R-alphaN0.1.0-lp156.1.1Set Alpha Based on Sample Size Using Bayes Factors
R-alphastable0.2.1-lp156.2.1Inference for Stable Distribution
R-AlphaVantageClient0.0.1-lp156.3.1Wrapper for Alpha Vantage API
R-ALSCPC1.0-lp156.2.1Accelerated line search algorithm for simultaneous orthogona
R-altadata0.1.1-lp156.3.1API Wrapper for Altadata.io
R-AlteredPQR0.1.0-lp156.1.1Detection of Altered Protein Quantitative Relationships
R-altfuelr0.1.0-lp156.19.1Provides an Interface to the NREL Alternate Fuels Locator
R-ALTopt0.1.2-lp156.3.1Optimal Experimental Designs for Accelerated Life Testing
R-amanpg0.3.4-lp156.1.1Alternating Manifold Proximal Gradient Method for Sparse PCA
R-AMAP.Seq1.0-lp156.2.1Compare Gene Expressions from 2-Treatment RNA-Seq Experiment
R-amapGeocode0.6.0-lp156.13.1An Interface to the \'AutoNavi Maps\' API Geocoding Services
R-AMAPVox2.2.1-lp156.2.1LiDAR Data Voxelisation
R-amazonadsR0.1.0-lp156.1.1Get Amazon Ads Data via the \'Windsor.ai\' API
R-amazons3R0.1.0-lp156.2.1Get Amazon S3 Data via the \'Windsor.ai\' API
R-amazonspR0.1.0-lp156.1.1Get Amazon Sp Data via the \'Windsor.ai\' API
R-ambhasGW0.0.2-lp156.5.1Ground Water Modelling
R-ambiorix2.1.0-lp156.1.1Web Framework Inspired by \'Express.js\'
R-AMCP1.0.2-lp156.1.1A Model Comparison Perspective
R-AMCTestmakeR1.0.0-lp156.2.1Generate LaTeX Code for Auto-Multiple-Choice (AMC)
R-ameco0.2.9-lp156.2.1European Commission Annual Macro-Economic (AMECO) Database
R-amelie0.2.1-lp156.2.1Anomaly Detection with Normal Probability Functions
R-amen1.4.5-lp156.1.1Additive and Multiplicative Effects Models for Networks and
R-AmericanCallOpt0.95-lp156.2.1This package includes pricing function for selected American
R-amerika0.1.0-lp156.2.1American Politics-Inspired Color Palette Generator
R-AmesHousing0.0.4-lp156.13.1The Ames Iowa Housing Data
R-AMGET1.0-lp156.2.1Post-processing tool for ADAPT 5
R-ami0.1.1-lp156.1.1Checks for Various Computing Environments
R-AmigaFFH0.4.5-lp156.2.1Commodore Amiga File Format Handler
R-AMIM1.0.0-lp156.1.1Compute the Adjusted Market Inefficiency Measure
R-aml0.1.1-lp156.2.1Adaptive Mixed LASSO
R-ammistability0.1.4-lp156.4.1Additive Main Effects and Multiplicative Interaction Model S
R-AmmoniaConcentration0.1-lp156.2.1Un-Ionized Ammonia Concentration
R-AMORE0.2.16-lp156.2.1Artificial Neural Network Training and Simulating
R-ampd0.2-lp156.2.1An Algorithm for Automatic Peak Detection in Noisy Periodic
R-AMPLE1.0.2-lp156.3.1Shiny Apps to Support Capacity Building on Harvest Control R
R-AmpliconDuo1.1.1-lp156.14.1Statistical Analysis of Amplicon Data of the Same Sample to
R-AMR2.1.1-lp156.1.1Antimicrobial Resistance Data Analysis
R-analogsea1.0.7.2-lp156.1.1Interface to \'DigitalOcean\'
R-analysisPipelines1.0.2-lp156.13.1Compose Interoperable Analysis Pipelines & Put Them in Produ
R-analyz1.4-lp156.2.1Model Layer for Automatic Data Analysis via CSV File Interpr
R-analyzer1.0.1-lp156.16.1Data Analysis and Automated R Notebook Generation
R-anapuce2.3-lp156.2.1Tools for Microarray Data Analysis
R-AncestryMapper2.0-lp156.2.1Assigning Ancestry Based on Population References
R-and0.1.5-lp156.1.1Construct Natural-Language Lists with Internationalization
R-AnDE1.0-lp156.3.1An extended Bayesian Learning Technique developed by Dr. Geo
R-andrews1.1.2-lp156.1.1Various Andrews Curves
R-andurinha0.0.2-lp156.18.1Make Spectroscopic Data Processing Easier
R-AnglerCreelSurveySimulation1.0.3-lp156.2.1Simulate a Bus Route Creel Survey of Anglers
R-anim.plots0.2.2-lp156.2.1Simple Animated Plots for R
R-AnimalHabitatNetwork0.1.0-lp156.14.1Networks Characterising the Physical Configurations of Anima
R-animate0.3.9.4-lp156.3.1A Web-Based Graphics Device for Animated Visualisations
R-animation2.7-lp156.2.1A Gallery of Animations in Statistics and Utilities to Creat
R-anipaths0.10.3-lp156.1.1Animation of Multiple Trajectories with Uncertainty
R-aniview0.1.0-lp156.8.1Animate Shiny and R Markdown Content when it Comes into View
R-anndata0.7.5.6-lp156.2.1\'anndata\' for R
R-annmatrix0.1.2-lp156.1.1Annotated Matrix: Matrices with Persistent Row and Column An
R-annotater0.2.3-lp156.1.1Annotate Package Load Calls
R-AnnotationBustR1.3.0-lp156.9.1Extract Subsequences from GenBank Annotations
R-AnnotLists1.2-lp156.2.1AnnotLists: A tool to annotate multiple lists from a specifi
R-anocva0.1.1-lp156.2.1A Non-Parametric Statistical Test to Compare Clustering Stru
R-ANOFA0.1.3-lp156.3.1Analyses of Frequency Data
R-ANOPA0.1.3-lp156.3.1Analyses of Proportions using Anscombe Transform
R-ANOVAreplication1.1.5-lp156.5.1Test ANOVA Replications by Means of the Prior Predictive p-V
R-anovir0.1.0-lp156.2.1Analysis of Virulence
R-anscombiser1.1.0-lp156.1.1Create Datasets with Identical Summary Statistics
R-anthro1.0.1-lp156.3.1Computation of the WHO Child Growth Standards
R-anthroplus0.9.0-lp156.4.1Computation of the WHO 2007 References for School-Age Childr
R-antitrust0.99.26-lp156.1.1Tools for Antitrust Practitioners
R-AntWeb0.7-lp156.3.1programmatic interface to the AntWeb
R-AnxietySleep0.0.1-lp156.2.1Sleep Quality and Anxiety in Confinement
R-anybadger0.1.0-lp156.3.1Create Custom Pipeline Badges
R-ao0.2.7-lp156.1.1Alternating Optimization
R-aod1.3.3-lp156.1.1Analysis of Overdispersed Data
R-aods30.4.1.2-lp156.1.1Analysis of Overdispersed Data using S3 Methods
R-aof0.1.2-lp156.2.1Ontogenetic Shifts in Central-Place Foraging Insects
R-Aoptbdtvc0.0.3-lp156.1.1A-Optimal Block Designs for Comparing Test Treatments with C
R-aoristic1.1.1-lp156.7.1Generates Aoristic Probability Distributions
R-aos0.1.0-lp156.8.1Animate on Scroll Library for \'shiny\'
R-AOV1R0.1.0-lp156.12.1Inference in the Balanced One-Way ANOVA Model with Random Fa
R-ApacheLogProcessor0.2.3-lp156.7.1Process the Apache Web Server Log Files
R-apaText0.1.7-lp156.1.1Create R Markdown Text for Results in the Style of the Ameri
R-APCanalysis1.0-lp156.2.1Analysis of Unreplicated Orthogonal Experiments using All Po
R-apdesign1.0.0-lp156.2.1An Implementation of the Additive Polynomial Design Matrix
R-apercu0.2.5-lp156.2.1Quick Look at your Data
R-apex1.0.6-lp156.3.1Phylogenetic Methods for Multiple Gene Data
R-APFr1.0.2-lp156.2.1Multiple Testing Approach using Average Power Function (APF)
R-APfun0.1.6-lp156.5.1Geo-Processing Helper Functions
R-api2lm0.2-lp156.1.1Functions and Data Sets for the Book \"A Progressive Introdu
R-aplore30.9-lp156.2.1Datasets from Hosmer, Lemeshow and Sturdivant, \"Applied Log
R-aplpack1.3.5-lp156.1.1Another Plot Package: \'Bagplots\', \'Iconplots\', \'Summary
R-apng1.1-lp156.1.1Convert Png Files into Animated Png
R-APPEstimation0.1.1-lp156.2.1Adjusted Prediction Model Performance Estimation
R-apple0.3-lp156.2.1Approximate Path for Penalized Likelihood Estimators
R-appleadsR0.1.0-lp156.1.1Get Apple Search Ads Data via the \'Windsor.ai\' API
R-appler0.2.1-lp156.2.1\'Apple App Store\' and \'iTunes\' Data Extraction
R-applicable0.1.1-lp156.2.1A Compilation of Applicability Domain Methods
R-AppliedPredictiveModeling1.1.7-lp156.7.1Functions and Data Sets for \'Applied Predictive Modeling\'
R-appnn1.0.0-lp156.2.1Amyloid Propensity Prediction Neural Network
R-apportion0.0.1-lp156.1.1Apportion Seats
R-approximator1.2.8-lp156.1.1Bayesian Prediction of Complex Computer Codes
R-approxmatch2.0-lp156.2.1Approximately Optimal Fine Balance Matching with Multiple Gr
R-appsflyeR0.1.0-lp156.2.1Get Data from \'Appsflyer\' via the \'Windsor.ai\' API
R-appsheet0.1.0-lp156.2.1An Interface to the \'AppSheet\' API
R-aprean31.0.1-lp156.2.1Datasets from Draper and Smith \"Applied Regression Analysis
R-APSIMBatch0.1.0.2374-lp156.2.1Analysis the output of Apsim software
R-apsrtable0.8.8-lp156.2.1apsrtable model-output formatter for social science
R-APtools6.8.8-lp156.2.1Average Positive Predictive Values (AP) for Binary Outcomes
R-apyramid0.1.3-lp156.1.1Visualize Population Pyramids Aggregated by Age
R-AQLSchemes1.7.2-lp156.1.1Retrieving Acceptance Sampling Schemes
R-AquaBEHER0.1.0-lp156.2.1Estimation of Rainy Season Calendar and Soil Water Balance f
R-AQuadtree1.0.4-lp156.1.1Confidentiality of Spatial Point Data
R-AquaEnv1.0.4-lp156.2.1Integrated Development Toolbox for Aquatic Chemical Model Ge
R-AquaticLifeHistory1.0.5-lp156.3.1Life History Analysis Tools
R-aquodom0.1.1-lp156.8.1Access to Aquo domaintables from R (Dutch)
R-AR1.1-lp156.2.1Another Look at the Acceptance-Rejection Method
R-ar.matrix0.1.0-lp156.2.1Simulate Auto Regressive Data from Precision Matricies
R-arabic2kansuji0.1.3-lp156.5.1Convert Arabic Numerals to Kansuji
R-arabicStemR1.3-lp156.1.1Arabic Stemmer for Text Analysis
R-arakno1.3.0-lp156.13.1ARAchnid KNowledge Online
R-ArArRedux1.0-lp156.2.1Rigorous Data Reduction and Error Propagation of Ar40 / Ar39
R-arc1.4-lp156.1.1Association Rule Classification
R-arcgeocoder0.2.0-lp156.2.1Geocoding with the \'ArcGIS\' REST API Service
R-arcgis0.1.0-lp156.2.1ArcGIS Location Services Meta-Package
R-arcgislayers0.2.0-lp156.2.1An Interface to ArcGIS Data Services
R-ArchaeoPhases2.0-lp156.1.1Post-Processing of Markov Chain Monte Carlo Simulations for
R-ArchaeoPhases.dataset0.2.0-lp156.1.1Data Sets for \'ArchaeoPhases\' Vignettes
R-archdata1.2.1-lp156.1.1Example Datasets from Archaeological Research
R-archeofrag0.8.2-lp156.5.1Refitting and Spatial Analysis in Archaeology
R-archetypal1.3.1-lp156.2.1Finds the Archetypal Analysis of a Data Frame
R-archetypes2.2.0.1-lp156.2.1Archetypal Analysis
R-archiDART3.4-lp156.2.1Plant Root System Architecture Analysis Using DART and RSML
R-archiveRetriever0.4.0-lp156.1.1Retrieve Archived Web Pages from the \'Internet Archive\'
R-archivist.github0.2.6-lp156.13.1Tools for Archiving, Managing and Sharing R Objects via GitH
R-arcos1.27-lp156.5.1Load ARCOS Prescription Data Prepared by the Washington Post
R-arcpy0.4.0-lp156.1.1Interface to \'ArcGIS\' \'Python\' Modules
R-arctools1.1.6-lp156.3.1Processing and Physical Activity Summaries of Minute Level A
R-ArDec2.1.1-lp156.1.1Time Series Autoregressive-Based Decomposition
R-ards0.1.1-lp156.1.1Creates Analysis Results Datasets
R-areabiplot1.0.0-lp156.1.1Area Biplot
R-areaplot2.1.2-lp156.1.1Plot Stacked Areas and Confidence Bands as Filled Polygons
R-arena2r1.0.0-lp156.21.1Plots, Summary Statistics and Tools for Arena Simulation Use
R-arfima1.8.1-lp156.1.1Fractional ARIMA (and Other Long Memory) Time Series Modelin
R-argoFloats1.0.7-lp156.1.1Analysis of Oceanographic Argo Floats
R-argon20.4.0-lp156.1.1Secure Password Hashing
R-argonDash0.2.0-lp156.15.1Argon Shiny Dashboard Template
R-argonR0.2.0-lp156.8.1R Interface to Argon HTML Design
R-argosfilter0.70-lp156.1.1Argos locations filter
R-argparse2.2.3-lp156.2.1Command Line Optional and Positional Argument Parser
R-argparser0.7.2-lp156.2.1Command-Line Argument Parser
R-ArgumentCheck0.10.2-lp156.2.1Improved Communication to Users with Respect to Problems in
R-argus0.1.1-lp156.1.1Random Variate Generator for the Argus Distribution
R-ARHT0.1.0-lp156.2.1Adaptable Regularized Hotelling\'s T^2 Test for High-Dimensi
R-ARIbrain0.2-lp156.3.1All-Resolution Inference
R-ARIMAANN0.1.0-lp156.6.1Time Series Forecasting using ARIMA-ANN Hybrid Model
R-arkdb0.0.18-lp156.1.1Archive and Unarchive Databases Using Flat Files
R-arnie0.1.2-lp156.2.1\"Arnie\" box office records 1982-2014
R-aroma.apd0.7.0-lp156.1.1A Probe-Level Data File Format Used by \'aroma.affymetrix\'
R-ARPALData1.3.1-lp156.1.1Retrieving, Managing and Analysing Air Quality and Weather D
R-ARPobservation1.2.2-lp156.1.1Tools for Simulating Direct Behavioral Observation Recording
R-arpr0.1.2-lp156.2.1Advanced R Pipes
R-aRpsDCA1.1.1-lp156.2.1Arps Decline Curve Analysis in R
R-arrangements1.1.9-lp156.3.1Fast Generators and Iterators for Permutations, Combinations
R-arrayhelpers1.1.0-lp156.2.1Convenience Functions for Arrays
R-arrowheadr1.0.1-lp156.1.1Make Custom Arrowheads
R-arse1.0.0-lp156.13.1Area of Resilience to Stress Event
R-artfima1.5-lp156.2.1ARTFIMA Model Estimation
R-arthistory0.1.0-lp156.1.1Art History Textbook Data
R-ARTofR0.4.1-lp156.8.1To Insert Title, Divider, and Block of Comments
R-ARTP20.9.45-lp156.2.1Pathway and Gene-Level Association Test
R-aRxiv0.10-lp156.2.1Interface to the arXiv API
R-asaur0.50-lp156.2.1Data Sets for \"Applied Survival Analysis Using R\"\"
R-ascentTraining1.0.0-lp156.1.1Ascent Training Datasets
R-ascii2.6-lp156.1.1Export R objects to several markup languages
R-asciichartr0.1.0-lp156.2.1Lightweight ASCII Line Graphs
R-asciiruler0.2-lp156.7.1Render an ASCII Ruler
R-ascotraceR0.0.1-lp156.7.1Simulate the Spread of Ascochyta Blight in Chickpea
R-asd2.2-lp156.2.1Simulations for Adaptive Seamless Designs
R-asdreader0.1.3-lp156.2.1Reading ASD Binary Files in R
R-ASGS.foyer0.3.3-lp156.1.1Interface to the Australian Statistical Geography Standard
R-ash1.0.15-lp156.2.1David Scott\'s ASH routines
R-AsioHeaders1.22.1.2-lp156.2.1\'Asio\' C++ Header Files
R-AsioHeaders-devel1.22.1.2-lp156.2.1Development files for AsioHeaders
R-ASIP0.4.9-lp156.7.1Automated Satellite Image Processing
R-askgpt0.1.3-lp156.1.1Asking GPT About R Stuff
R-ASMap1.0.7-lp156.1.1Linkage Map Construction using the MSTmap Algorithm
R-asnipe1.1.17-lp156.1.1Animal Social Network Inference and Permutations for Ecologi
R-aSPC0.1.2-lp156.4.1An Adaptive Sum of Powered Correlation Test (aSPC) for Globa
R-aspect1.0.6-lp156.1.1A General Framework for Multivariate Analysis with Optimal S
R-aspi0.2.0-lp156.2.1Analysis of Symmetry of Parasitic Infections
R-aSPU1.50-lp156.9.1Adaptive Sum of Powered Score Test
R-ASSA2.0-lp156.2.1Applied Singular Spectrum Analysis (ASSA)
R-assemblerr0.1.1-lp156.1.1Assembly of Pharmacometric Models
R-assert1.0.1-lp156.2.1Validate Function Arguments
R-assertable0.2.8-lp156.1.1Verbose Assertions for Tabular Data (Data.frames and Data.ta
R-assertions0.1.0-lp156.1.1Simple Assertions for Beautiful and Customisable Error Messa
R-assertive.base0.0.9-lp156.1.1A Lightweight Core of the \'assertive\' Package
R-assertive.code0.0.4-lp156.1.1Assertions to Check Properties of Code
R-assertive.data0.0.3-lp156.5.1Assertions to Check Properties of Data
R-assertive.data.uk0.0.2-lp156.5.1Assertions to Check Properties of Strings
R-assertive.data.us0.0.2-lp156.5.1Assertions to Check Properties of Strings
R-assertive.datetimes0.0.3-lp156.2.1Assertions to Check Properties of Dates and Times
R-assertive.files0.0.2-lp156.2.1Assertions to Check Properties of Files
R-assertive.matrices0.0.2-lp156.2.1Assertions to Check Properties of Matrices
R-assertive.models0.0.2-lp156.2.1Assertions to Check Properties of Models
R-assertive.numbers0.0.2-lp156.2.1Assertions to Check Properties of Numbers
R-assertive.properties0.0.5-lp156.1.1Assertions to Check Properties of Variables
R-assertive.reflection0.0.5-lp156.2.1Assertions for Checking the State of R
R-assertive.sets0.0.3-lp156.2.1Assertions to Check Properties of Sets
R-assertive.strings0.0.3-lp156.5.1Assertions to Check Properties of Strings
R-assertive.types0.0.3-lp156.2.1Assertions to Check Types of Variables
R-assertr3.0.1-lp156.1.1Assertive Programming for R Analysis Pipelines
R-assertthat0.2.1-lp156.2.1Easy Pre and Post Assertions
R-AssetCorr1.0.3-lp156.10.1Estimating Asset Correlations from Default Data
R-AssetPricing1.0.3-lp156.1.1Optimal Pricing of Assets with Fixed Expiry Date
R-assignR2.4.1-lp156.2.1Infer Geographic Origin from Isotopic Data
R-assist3.1.9-lp156.1.1A Suite of R Functions Implementing Spline Smoothing Techniq
R-AssocAFC1.0.2-lp156.2.1Allele Frequency Comparison
R-assocInd1.0.1-lp156.2.1Implements New and Existing Association Indices for Construc
R-AssocTests1.0.1-lp156.4.1Genetic Association Studies
R-assortnet0.20-lp156.1.1Calculate the Assortativity Coefficient of Weighted and Bina
R-AssotesteR0.1.10-lp156.2.1Statistical Tests for Genetic Association Studies
R-AST0.1.0-lp156.2.1Age-Spatial-Temporal Model
R-aster1.1.3-lp156.1.1Aster Models
R-AsthmaNHANES1.1.0-lp156.1.1Asthma Data Sets from NHANES
R-astrodatR0.1-lp156.2.1Astronomical Data
R-astroFns4.2.1-lp156.1.1Astronomy: Time and Position Functions, Misc. Utilities
R-astrolibR0.1-lp156.2.1Astronomy Users Library
R-astsa2.1-lp156.1.1Applied Statistical Time Series Analysis
R-asus1.5.0-lp156.1.1Adaptive SURE Thresholding Using Side Information
R-asVPC1.0.2-lp156.9.1Average Shifted Visual Predictive Checks
R-AsyK1.5.5-lp156.1.1Kernel Density Estimation
R-asylum1.1.2-lp156.1.1Data on Asylum and Resettlement for the UK
R-asymLD0.1-lp156.2.1Asymmetric Linkage Disequilibrium (ALD) for Polymorphic Gene
R-AsymmetricSORDs1.0.0-lp156.1.1Asymmetric Second Order Rotatable Designs (AsymmetricSORDs)
R-asympTest0.1.4-lp156.2.1A Simple R Package for Classical Parametric Statistical Test
R-asymptor1.1.0-lp156.1.1Estimate Asymptomatic Cases via Capture/Recapture Methods
R-AsynchLong2.3-lp156.1.1Regression Analysis of Sparse Asynchronous Longitudinal Data
R-asypow2015.6.25-lp156.2.1Calculate Power Utilizing Asymptotic Likelihood Ratio Method
R-ata1.1.1-lp156.2.1Automated Test Assembly
R-ATbounds0.1.0-lp156.1.1Bounding Treatment Effects by Limited Information Pooling
R-ATE0.2.0-lp156.2.1Inference for Average Treatment Effects using Covariate Bala
R-AteMeVs0.1.0-lp156.1.1Average Treatment Effects with Measurement Error and Variabl
R-atime2024.3.5-lp156.1.1Asymptotic Timing
R-atmcmc1.0-lp156.2.1Automatically Tuned Markov Chain Monte Carlo
R-atmopt0.1.0-lp156.5.1Analysis-of-Marginal-Tail-Means
R-AtmRay1.31-lp156.2.1Acoustic Traveltime Calculations for 1-D Atmospheric Models
R-atpolR0.1.1-lp156.5.1ATPOL Grid Implementation
R-ATR0.1.1-lp156.2.1Alternative Tree Representation
R-aTSA3.1.2.1-lp156.1.1Alternative Time Series Analysis
R-atsd1.2.0-lp156.4.1Support Querying Axibase Time-Series Database
R-attempt0.3.1-lp156.3.1Tools for Defensive Programming
R-attention0.4.0-lp156.1.1Self-Attention Algorithm
R-attenuation1.0.0-lp156.2.1Correcting for Attenuation Due to Measurement Error
R-atus0.2-lp156.2.1American Time Use Survey Data
R-AUC0.3.2-lp156.1.1Threshold independent performance measures for probabilistic
R-AUCRF1.1-lp156.2.1Variable Selection with Random Forest and the Area Under the
R-auctestr1.0.0-lp156.15.1Statistical Testing for AUC Data
R-auctionr0.1.0-lp156.2.1Estimate First-Price Auction Model
R-audio0.1.11-lp156.1.1Audio Interface for R
R-audiolyzR0.4.9-lp156.3.1audiolyzR: Give your data a listen
R-audiometry0.3.0-lp156.7.1Standard Conform Pure Tone Audiometry (PTA) Plots
R-audit0.1.2-lp156.1.1Bounds for Accounting Populations
R-auditor1.3.5-lp156.1.1Model Audit - Verification, Validation, and Error Analysis
R-audrex2.0.1-lp156.9.1Automatic Dynamic Regression using Extreme Gradient Boosting
R-AugmenterR0.1.0-lp156.1.1Data Augmentation for Machine Learning on Tabular Data
R-auk0.7.0-lp156.2.1eBird Data Extraction and Processing in R
R-AurieLSHGaussian0.2.0-lp156.11.1Creates a Neighbourhood Using Locality Sensitive Hashing for
R-ausplotsR2.0.5-lp156.3.1TERN AusPlots Australian Ecosystem Monitoring Data
R-AustralianPoliticians0.1.0-lp156.8.1Provides Datasets About Australian Politicians
R-auth00.2.3-lp156.4.1Authentication in Shiny with Auth0
R-AutoAds0.1.0-lp156.2.1Advertisement Metrics Calculation
R-autocogs0.1.4-lp156.9.1Automatic Cognostic Summaries
R-autoCovariateSelection1.0.0-lp156.14.1Automated Covariate Selection Using HDPS Algorithm
R-autoencoder1.1-lp156.2.1Sparse Autoencoder for Automatic Learning of Representative
R-autohrf1.1.3-lp156.1.1Automated Generation of Data-Informed GLM Models in Task-Bas
R-autoimage2.2.3-lp156.10.1Multiple Heat Maps for Projected Coordinates
R-autokeras1.0.12-lp156.13.1R Interface to \'AutoKeras\'
R-automl1.3.2-lp156.2.1Deep Learning with Metaheuristic
R-automultinomial2.0.0-lp156.2.1Models for Spatially Correlated Data
R-Autoplotprotein1.1-lp156.8.1Development of Visualization Tools for Protein Sequence
R-AutoregressionMDE1.0-lp156.2.1Minimum Distance Estimation in Autoregressive Model
R-autoScorecard0.3.0-lp156.1.1Fully Automatic Generation of Scorecards
R-AutoSEARCH1.5-lp156.2.1General-to-Specific (GETS) Modelling
R-Autoseed0.1.0-lp156.2.1Retrieve Disease-Related Genes from Public Sources
R-autoshiny0.0.3-lp156.4.1Automatic Transformation of an \'R\' Function into a \'shiny
R-autostsm3.1.5-lp156.2.1Automatic Structural Time Series Models
R-autota0.1.3-lp156.4.1Auto TA
R-AutoTransQF0.1.3-lp156.1.1A Novel Automatic Shifted Log Transformation
R-available1.1.0-lp156.7.1Check if the Title of a Package is Available, Appropriate an
R-averisk1.0.3-lp156.2.1Calculation of Average Population Attributable Fractions and
R-avesperu0.0.2-lp156.2.1Access to the List of Birds Species of Peru
R-AvInertia0.0.2-lp156.11.1Calculate the Inertial Properties of a Flying Bird
R-aVirtualTwins1.0.1-lp156.2.1Adaptation of Virtual Twins Method from Jared Foster
R-avocado0.1.0-lp156.2.1Weekly Hass Avocado Sales Summary
R-AWAPer0.1.46-lp156.2.1Catchment Area Weighted Climate Data Anywhere in Australia
R-aweek1.0.3-lp156.1.1Convert Dates to Arbitrary Week Definitions
R-awinR0.1.0-lp156.2.1Get Data from \'Awin\' via the \'Windsor.ai\' API
R-aws.alexa0.1.8-lp156.13.1Client for the Amazon Alexa Web Information Services API
R-aws.comprehend0.2.1-lp156.3.1Client for \'AWS Comprehend\'
R-aws.ec2metadata0.2.0-lp156.2.1Get EC2 Instance Metadata
R-aws.ecx1.0.5-lp156.2.1Communicating with AWS EC2 and ECS using AWS REST APIs
R-aws.iam0.1.8-lp156.4.1AWS IAM Client Package
R-aws.kms0.1.4-lp156.3.1\'AWS Key Management Service\' Client Package
R-aws.lambda0.2.0-lp156.3.1AWS Lambda Client Package
R-aws.polly0.1.5-lp156.3.1Client for AWS Polly
R-aws.s30.3.21-lp156.4.1\'AWS S3\' Client Package
R-aws.signature0.6.0-lp156.2.1Amazon Web Services Request Signatures
R-aws.transcribe0.1.3-lp156.3.1Client for \'AWS Transcribe\'
R-aws.translate0.1.4-lp156.3.1Client for \'AWS Translate\'
R-aws.wrfsmn0.0.3-lp156.2.1Data Processing of SMN Hi-Res Weather Forecast from \'AWS\'
R-awsMethods1.1.1-lp156.2.1Class and Methods Definitions for Packages \'aws\', \'adimpr
R-axisandallies0.1.0-lp156.1.1Axis and Allies Spring
R-AZIAD0.0.3-lp156.2.1Analyzing Zero-Inflated and Zero-Altered Data
R-aziztest0.2.1-lp156.2.1Novel Statistical Test for Aberration Enrichment
R-azlogr0.0.6-lp156.2.1Logging in \'R\' and Post to \'Azure Log Analytics\' Workspa
R-AzureAppInsights0.3.1-lp156.3.1Include Azure Application Insights in Shiny Apps
R-AzureAuth1.3.3-lp156.1.1Authentication Services for Azure Active Directory
R-AzureCognitive1.0.1-lp156.3.1Interface to Azure Cognitive Services
R-AzureContainers1.3.2-lp156.1.1Interface to \'Container Instances\', \'Docker Registry\' an
R-AzureCosmosR1.0.0-lp156.5.1Interface to the \'Azure Cosmos DB\' \'NoSQL\' Database Serv
R-AzureGraph1.3.4-lp156.1.1Simple Interface to \'Microsoft Graph\'
R-AzureKeyVault1.0.5-lp156.1.1Key and Secret Management in \'Azure\'
R-AzureKusto1.1.3-lp156.2.1Interface to \'Kusto\'/\'Azure Data Explorer\'
R-AzureQstor1.0.1-lp156.7.1Interface to \'Azure Queue Storage\'
R-AzureRMR2.4.4-lp156.1.1Interface to \'Azure Resource Manager\'
R-AzureStor3.7.0-lp156.3.1Storage Management in \'Azure\'
R-AzureTableStor1.0.0-lp156.6.1Interface to the Table Storage Service in \'Azure\'
R-AzureVision1.0.2-lp156.3.1Interface to Azure Computer Vision Services
R-AzureVM2.2.2-lp156.3.1Virtual Machines in \'Azure\'
R-AzureVMmetadata1.0.1-lp156.3.1Interface to Azure Virtual Machine Instance Metadata
R-b6e6rl1.1-lp156.2.1Adaptive differential evolution, b6e6rl variant
R-babar1.0-lp156.2.1Bayesian Bacterial Growth Curve Analysis in R
R-babelgene22.9-lp156.3.1Gene Orthologs for Model Organisms in a Tidy Data Format
R-babelwhale1.2.0-lp156.4.1Talking to \'Docker\' and \'Singularity\' Containers
R-babynames1.0.1-lp156.6.1US Baby Names 1880-2017
R-babynamesIL0.0.2-lp156.1.1Israel Baby Names 1948-2022
R-BACCO2.0.9-lp156.3.1Bayesian Analysis of Computer Code Output (BACCO)
R-backpipe0.2.3-lp156.2.1Backward Pipe (Right-to-Left) Operator
R-backports1.5.0-lp156.2.1Reimplementations of Functions Introduced Since R-3.0.0
R-backShift0.1.4.3-lp156.14.1Learning Causal Cyclic Graphs from Unknown Shift Interventio
R-backtest0.3.4-lp156.2.1Exploring portfolio-based conjectures about financial instru
R-bacondecomp0.1.1-lp156.2.1Goodman-Bacon Decomposition
R-BACprior2.1.1-lp156.1.1Choice of Omega in the BAC Algorithm
R-badgecreatr0.2.0-lp156.3.1Create Badges for \'Travis\', \'Repostatus\' \'Codecov.io\'
R-BAEssd1.0.1-lp156.2.1Bayesian Average Error approach to Sample Size Determination
R-baf0.0.1-lp156.1.1Block Assignment Files
R-baffle0.2.2-lp156.1.1Make Waffle Plots with Base Graphics
R-bagged.outliertrees1.0.0-lp156.8.1Robust Explainable Outlier Detection Based on OutlierTree
R-baggedcv1.0-lp156.2.1Bagged Cross-Validation for Kernel Density Bandwidth Selecti
R-BAGofT1.0.0-lp156.2.1A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT)
R-bagyo0.1.1-lp156.2.1Philippine Tropical Cyclones Data
R-bahc0.3.0-lp156.2.1Filter Covariance and Correlation Matrices with Bootstrapped
R-bain0.2.11-lp156.1.1Bayes Factors for Informative Hypotheses
R-balance0.2.4-lp156.8.1Visualize Balances of Compositional Data
R-BalanceCheck0.2-lp156.7.1Balance Check for Multiple Covariates in Matched Observation
R-Ball1.3.13-lp156.1.1Statistical Inference and Sure Independence Screening via Ba
R-bambooHR0.1.1-lp156.2.1A Wrapper to the \'BambooHR\' API
R-bamp2.1.3-lp156.1.1Bayesian Age-Period-Cohort Modeling and Prediction
R-bandicoot1.0.0-lp156.2.1Light-Weight \'python\'-Like Object-Oriented System
R-bandit0.5.1-lp156.1.1Functions for Simple a/B Split Test and Multi-Armed Bandit A
R-bandsfdp1.1.0-lp156.1.1Compute Upper Prediction Bounds on the FDP in Competition-Ba
R-bannerCommenter1.0.0-lp156.1.1Make Banner Comments with a Consistent Format
R-banR0.2.2-lp156.3.1R Client for the BAN API
R-banxicoR0.9.0-lp156.13.1Download Data from the Bank of Mexico
R-BaPreStoPro0.1-lp156.2.1Bayesian Prediction of Stochastic Processes
R-BAR0.1.1-lp156.1.1Bayesian Adaptive Randomization
R-BarBorGradient1.0.5-lp156.2.1Function Minimum Approximator
R-barcode1.3.0-lp156.1.1Render Barcode Distribution Plots
R-BarcodingR1.0.3-lp156.4.1Species Identification using DNA Barcodes
R-bardr0.0.9-lp156.1.1Complete Works of William Shakespeare in Tidy Format
R-BARIS1.1.3-lp156.9.1Access and Import Data from the French Open Data Portal
R-Barnard1.8-lp156.2.1Barnard\'s Unconditional Test
R-barsurf0.7.0-lp156.1.1Contour Plots, 3D Plots, Vector Fields and Heatmaps
R-base2grob0.0.3-lp156.8.1Convert Base Plot to \'grob\' Object
R-base64enc0.1.3-lp156.2.1Tools for base64 encoding
R-base64url1.4-lp156.2.1Fast and URL-Safe Base64 Encoder and Decoder
R-baseballDBR0.1.2-lp156.15.1Sabermetrics and Advanced Baseball Statistics
R-baseballr1.6.0-lp156.1.1Acquiring and Analyzing Baseball Data
R-basedosdados0.2.2-lp156.2.1\'Base Dos Dados\' R Client
R-basefun1.1.4-lp156.1.1Infrastructure for Computing with Basis Functions
R-baseline1.3.5-lp156.1.1Baseline Correction of Spectra
R-basemaps0.0.7-lp156.2.1Accessing Spatial Basemaps in R
R-basemodels1.1.0-lp156.1.1Baseline Models for Classification and Regression
R-baseq0.1.4-lp156.1.1Basic Sequence Processing Tool for Biological Data
R-BaseSet0.9.0-lp156.1.1Working with Sets the Tidy Way
R-BaseTempSeed0.1.0-lp156.1.1Estimation of Seed Germination Base Temperature in Thermal M
R-basetheme0.1.3-lp156.1.1Themes for Base Graphics Plots
R-basf0.2.0-lp156.16.1Plot Simple Features with \'base\' Sensibilities
R-basicdrm0.3.0-lp156.2.1Fit Hill Dose Response Models
R-basicMCMCplots0.2.7-lp156.1.1Trace Plots, Density Plots and Chain Comparisons for MCMC Sa
R-basicspace0.24-lp156.2.1Recovering a Basic Space from Issue Scales
R-basicTrendline2.0.5-lp156.3.1Add Trendline and Confidence Interval of Basic Regression Mo
R-BASIX1.2-lp156.1.1An Efficient C/C++ Toolset for R
R-BaSkePro1.1.1-lp156.1.1Bayesian Model to Archaeological Faunal Skeletal Profiles
R-BASS1.3.1-lp156.1.1Bayesian Adaptive Spline Surfaces
R-batade0.1-lp156.2.1HTML reports and so on
R-batata0.2.1-lp156.5.1Managing Packages Removal and Installation
R-batch1.1.5-lp156.2.1Batching Routines in Parallel and Passing Command-Line Argum
R-BatchExperiments1.4.3-lp156.7.1Statistical Experiments on Batch Computing Clusters
R-BatchGetSymbols2.6.4-lp156.11.1Downloads and Organizes Financial Data for Multiple Tickers
R-BatchJobs1.9-lp156.7.1Batch Computing with R
R-batchmeans1.0.4-lp156.2.1Consistent Batch Means Estimation of Monte Carlo Standard Er
R-batchr0.0.1-lp156.2.1Batch Process Files
R-batchscr0.1.0-lp156.2.1Batch Script Helpers
R-batchtools0.9.17-lp156.3.1Tools for Computation on Batch Systems
R-BaTFLED3D0.2.11-lp156.2.1Bayesian Tensor Factorization Linked to External Data
R-batsch0.1.1-lp156.2.1Real-Time PCR Data Sets by Batsch et al. (2008)
R-batteryreduction0.1.1-lp156.2.1An R Package for Data Reduction by Battery Reduction
R-baycn1.2.0-lp156.14.1Bayesian Inference for Causal Networks
R-BayesARIMAX0.1.1-lp156.15.1Bayesian Estimation of ARIMAX Model
R-BayesBinMix1.4.1-lp156.2.1Bayesian Estimation of Mixtures of Multivariate Bernoulli Di
R-bayesbio1.0.0-lp156.2.1Miscellaneous Functions for Bioinformatics and Bayesian Stat
R-bayesboot0.2.2-lp156.3.1An Implementation of Rubin\'s (1981) Bayesian Bootstrap
R-BayesBP1.1-lp156.7.1Bayesian Estimation using Bernstein Polynomial Fits Rate Mat
R-BayesCombo1.0-lp156.2.1Bayesian Evidence Combination
R-BayesCR2.1-lp156.3.1Bayesian Analysis of Censored Regression Models Under Scale
R-BayesCTDesign0.6.1-lp156.8.1Two Arm Bayesian Clinical Trial Design with and Without Hist
R-BayesDA2012.04.1-lp156.2.1Functions and Datasets for the book \"Bayesian Data Analysis
R-bayesDccGarch3.0.4-lp156.1.1Methods and Tools for Bayesian Dynamic Conditional Correlati
R-BayesDesign0.1.1-lp156.1.1Bayesian Single-Arm Design with Survival Endpoints
R-BayesDIP0.1.1-lp156.1.1Bayesian Decreasingly Informative Priors for Early Terminati
R-bayesdistreg0.1.0-lp156.2.1Bayesian Distribution Regression
R-BayesFM0.1.7-lp156.1.1Bayesian Inference for Factor Modeling
R-bayesGARCH2.1.10-lp156.1.1Bayesian Estimation of the GARCH(1,1) Model with Student-t I
R-BayesGESM1.4-lp156.2.1Bayesian Analysis of Generalized Elliptical Semi-Parametric
R-BayesGPfit1.1.0-lp156.1.1Fast Bayesian Gaussian Process Regression Fitting
R-BayesianAnimalTracker1.2-lp156.4.1Bayesian Melding of GPS and DR Path for Animal Tracking
R-bayesianETAS1.0.3-lp156.2.1Bayesian Estimation of the ETAS Model for Earthquake Occurre
R-Bayesiangammareg0.1.0-lp156.2.1Bayesian Gamma Regression: Joint Mean and Shape Modeling
R-BayesianGLasso0.2.0-lp156.2.1Bayesian Graphical Lasso
R-BayesianLaterality0.1.2-lp156.2.1Predict Brain Asymmetry Based on Handedness and Dichotic Lis
R-BayesianPower0.2.3-lp156.2.1Sample Size and Power for Comparing Inequality Constrained H
R-Bayesiantreg1.0.1-lp156.1.1Bayesian t Regression for Modeling Mean and Scale Parameters
R-bayeslincom1.3.0-lp156.7.1Linear Combinations of Bayesian Posterior Samples
R-BayesLogit2.1-lp156.2.1PolyaGamma Sampling
R-bayesloglin1.0.1-lp156.5.1Bayesian Analysis of Contingency Table Data
R-bayeslongitudinal0.1.0-lp156.2.1Adjust Longitudinal Regression Models Using Bayesian Methodo
R-BayesMAMS0.1-lp156.1.1Designing Bayesian Multi-Arm Multi-Stage Studies
R-BayesMassBal1.1.0-lp156.1.1Bayesian Data Reconciliation of Separation Processes
R-bayesMeanScale0.1.4-lp156.2.1Bayesian Post-Estimation on the Mean Scale
R-bayesmeta3.4-lp156.1.1Bayesian Random-Effects Meta-Analysis and Meta-Regression
R-bayesMig0.4.6-lp156.1.1Bayesian Projection of Migration
R-BayesMixSurv0.9.1-lp156.2.1Bayesian Mixture Survival Models using Additive Mixture-of-W
R-bayesmlogit1.0.1-lp156.1.1A Multistate Life Table (MSLT) Methodology Based on Bayesian
R-BayesMortalityPlus0.2.4-lp156.1.1Bayesian Mortality Modelling
R-BayesMultMeta0.1.1-lp156.1.1Bayesian Multivariate Meta-Analysis
R-BayesNI0.1-lp156.2.1BayesNI: Bayesian Testing Procedure for Noninferiority with
R-BayesNSGP0.1.2-lp156.12.1Bayesian Analysis of Non-Stationary Gaussian Process Models
R-BayesPieceHazSelect1.1.0-lp156.2.1Variable Selection in a Hierarchical Bayesian Model for a Ha
R-BayesPiecewiseICAR0.2.1-lp156.2.1Hierarchical Bayesian Model for a Hazard Function
R-bayesplay0.9.3-lp156.2.1The Bayes Factor Playground
R-bayesplot1.11.1-lp156.1.1Plotting for Bayesian Models
R-bayespm0.2.0-lp156.1.1Bayesian Statistical Process Monitoring
R-bayesQR2.4-lp156.1.1Bayesian Quantile Regression
R-BayesRep0.42.2-lp156.1.1Bayesian Analysis of Replication Studies
R-BayesRepDesign0.42-lp156.1.1Bayesian Design of Replication Studies
R-bayess1.6-lp156.2.1Bayesian Essentials with R
R-BayesS51.41-lp156.4.1Bayesian Variable Selection Using Simplified Shotgun Stochas
R-BayesSampling1.1.0-lp156.1.1Bayes Linear Estimators for Finite Population
R-BayesSpec0.5.3-lp156.2.1Bayesian Spectral Analysis Techniques
R-BayesSummaryStatLM2.0-lp156.1.1MCMC Sampling of Bayesian Linear Models via Summary Statisti
R-BayesSurvival0.2.0-lp156.8.1Bayesian Survival Analysis for Right Censored Data
R-bayesTFR7.4.2-lp156.1.1Bayesian Fertility Projection
R-BayesTree0.3.1.5-lp156.1.1Bayesian Additive Regression Trees
R-BayesTreePrior1.0.1-lp156.2.1Bayesian Tree Prior Simulation
R-BayesValidate0.0-lp156.2.1BayesValidate Package
R-BayesXsrc3.0.5-lp156.2.1Distribution of the \'BayesX\' C++ Sources
R-bayfoxr0.0.1-lp156.2.1Global Bayesian Foraminifera Core Top Calibration
R-BayHaz0.1.3-lp156.2.1R Functions for Bayesian Hazard Rate Estimation
R-baymedr0.1.1-lp156.5.1Computation of Bayes Factors for Common Biomedical Designs
R-BAYSTAR0.2.10-lp156.1.1On Bayesian Analysis of Threshold Autoregressive Models
R-bazar1.0.11-lp156.8.1Miscellaneous Basic Functions
R-BB2019.10.1-lp156.2.1Solving and Optimizing Large-Scale Nonlinear Systems
R-BBcor1.0.3-lp156.8.1Bayesian Bootstrapping Correlations
R-bbefkr4.2-lp156.2.1Bayesian bandwidth estimation and semi-metric selection for
R-bbemkr2.0-lp156.2.1Bayesian bandwidth estimation for multivariate kernel regres
R-BBEST0.1.8-lp156.19.1Bayesian Estimation of Incoherent Neutron Scattering Backgro
R-BBI0.3.0-lp156.2.1Benthic Biotic Indices Calculation from Composition Data
R-BBmisc1.13-lp156.1.1Miscellaneous Helper Functions for B. Bischl
R-bbmle1.0.25-lp156.1.1Tools for general maximum likelihood estimation
R-BBMM3.0-lp156.2.1Brownian bridge movement model
R-BBMV2.1-lp156.2.1Models for Continuous Traits Evolving in Macroevolutionary L
R-bbnet1.0.1-lp156.2.1Create Simple Predictive Models on Bayesian Belief Networks
R-bbo0.2-lp156.2.1Biogeography-Based Optimization
R-bbreg2.0.2-lp156.1.1Bessel and Beta Regressions via Expectation-Maximization Alg
R-bbricks0.1.4-lp156.2.1Bayesian Methods and Graphical Model Structures for Statisti
R-bc3net1.0.4-lp156.7.1Gene Regulatory Network Inference with Bc3net
R-BCA1SG0.1.0-lp156.2.1Block Coordinate Ascent with One-Step Generalized Rosen Algo
R-bcaboot0.2.3-lp156.1.1Bias Corrected Bootstrap Confidence Intervals
R-BCBCSF1.0.1-lp156.2.1Bias-Corrected Bayesian Classification with Selected Feature
R-bcc1.5-lp156.1.1Beta Control Charts
R-BCC19970.1.1-lp156.2.1Calculation of Option Prices Based on a Universal Solution
R-bccp0.5.0-lp156.1.1Bias Correction under Censoring Plan
R-BCDating0.9.8-lp156.2.1Business Cycle Dating and Plotting Tools
R-BCE2.2.0-lp156.2.1Bayesian Composition Estimator: Estimating Sample (Taxonomic
R-BCellMA0.3.4-lp156.9.1B Cell Receptor Somatic Hyper Mutation Analysis
R-bcfrailph0.1.1-lp156.2.1Semiparametric Bivariate Correlated Frailty Models Fit
R-bcfrailphdv0.1.1-lp156.2.1Bivariate Correlated Frailty Models with Varied Variances
R-bcgam1.0-lp156.11.1Bayesian Constrained Generalised Linear Models
R-BCgee0.1.1-lp156.1.1Bias-Corrected Estimates for Generalized Linear Models for D
R-Bclim3.1.2-lp156.4.1Bayesian Palaeoclimate Reconstruction from Pollen Data
R-bcmixed0.1.4-lp156.2.1Mixed Effect Model with the Box-Cox Transformation
R-bcpmeta1.0-lp156.2.1Bayesian Multiple Changepoint Detection Using Metadata
R-bcr0.1.1-lp156.2.1Extract Moroccan Financial Data
R-BCRA2.1.2-lp156.2.1Breast Cancer Risk Assessment
R-bcv1.0.2-lp156.1.1Cross-Validation for the SVD (Bi-Cross-Validation)
R-BDAlgo0.1.0-lp156.1.1Bloom Detecting Algorithm
R-bdDwC0.1.15-lp156.15.1Darwinizer: Darwin Core (DwC) Field Names Standardization
R-bde1.0.1.1-lp156.9.1Bounded Density Estimation
R-BDEsize1.6-lp156.7.1Efficient Determination of Sample Size in Balanced Design of
R-bdlim0.4.2-lp156.1.1Bayesian Distributed Lag Interaction Models
R-bdots1.2.5-lp156.1.1Bootstrapped Differences of Time Series
R-bdpar3.1.0-lp156.1.1Big Data Preprocessing Architecture
R-bdpv1.3-lp156.2.1Inference and Design for Predictive Values in Diagnostic Tes
R-bdrc1.1.0-lp156.1.1Bayesian Discharge Rating Curves
R-bdscale2.0.0-lp156.14.1Remove Weekends and Holidays from ggplot2 Axes
R-bdsmatrix1.3.7-lp156.2.1Routines for Block Diagonal Symmetric matrices
R-BDWreg1.3.0-lp156.2.1Bayesian Inference for Discrete Weibull Regression
R-BE0.2.4-lp156.1.1Bioequivalence Study Data Analysis
R-beakr0.4.3-lp156.8.1A Minimalist Web Framework for R
R-beanplot1.3.1-lp156.1.1Visualization via Beanplots (Like Boxplot/Stripchart/Violin
R-beans0.1.0-lp156.1.1Data on Dried Beans
R-bearishTrader1.0.2-lp156.1.1Trading Strategies for Bearish Outlook
R-beast1.1-lp156.2.1Bayesian Estimation of Change-Points in the Slope of Multiva
R-beats0.1.1-lp156.4.1Heartbeat Detection in Electrocardiogram Data
R-beautier2.6.12-lp156.2.1\'BEAUti\' from R
R-BEDASSLE1.6-lp156.1.1Quantifies Effects of Geo/Eco Distance on Genetic Differenti
R-beeca0.1.3-lp156.1.1Binary Endpoint Estimation with Covariate Adjustment
R-beeswarm0.4.0-lp156.1.1The Bee Swarm Plot, an Alternative to Stripchart
R-beezdemand0.1.2-lp156.6.1Behavioral Economic Easy Demand
R-befproj0.1.1-lp156.13.1Makes a Local Population Projection
R-beginr0.1.7-lp156.2.1Functions for R Beginners
R-behavr0.3.2-lp156.2.1Canonical Data Structure for Behavioural Data
R-belex0.1.0-lp156.3.1Download Historical Data from the Belgrade Stock Exchange
R-BElikelihood1.1-lp156.2.1Likelihood Method for Evaluating Bioequivalence
R-bench1.1.3-lp156.1.1High Precision Timing of R Expressions
R-benchden1.0.8-lp156.1.128 Benchmark Densities from Berlinet/Devroye (1994)
R-benchmarkme1.0.8-lp156.9.1Crowd Sourced System Benchmarks
R-benchmarkmeData1.0.4-lp156.13.1Data Set for the \'benchmarkme\' Package
R-bender0.1.1-lp156.3.1Bender Client
R-benford1.0.1-lp156.1.1Benford\'s Analysis on Large Data Sets
R-benford.analysis0.1.5-lp156.2.1Benford Analysis for Data Validation and Forensic Analytics
R-BenfordTests1.2.0-lp156.2.1Statistical Tests for Evaluating Conformity to Benford\'s La
R-bentcableAR0.3.1-lp156.1.1Bent-Cable Regression for Independent Data or Autoregressive
R-benthos1.3.8-lp156.5.1Marine Benthic Ecosystem Analysis
R-berryFunctions1.22.5-lp156.1.1Function Collection Related to Plotting and Hydrology
R-BESTree0.5.2-lp156.3.1Branch-Exclusive Splits Trees
R-BetaBit2.2-lp156.1.1Mini Games from Adventures of Beta and Bit
R-betaboost1.0.1-lp156.2.1Boosting Beta Regression
R-betacal0.1.0-lp156.2.1Beta Calibration
R-betaDelta1.0.5-lp156.2.1Confidence Intervals for Standardized Regression Coefficient
R-betafam1.0-lp156.2.1Detecting rare variants for quantitative traits using nuclea
R-betafunctions1.9.0-lp156.2.1Functions for Working with Two- And Four-Parameter Beta Prob
R-betalink2.2.1-lp156.5.1Beta-Diversity of Species Interactions
R-betaMC1.3.2-lp156.2.1Monte Carlo for Regression Effect Sizes
R-betaNB1.0.4-lp156.2.1Bootstrap for Regression Effect Sizes
R-betapart1.6-lp156.1.1Partitioning Beta Diversity into Turnover and Nestedness Com
R-BetaPASS1.1.2-lp156.1.1Calculate Power and Sample Size with Beta Regression
R-betaper1.1.2-lp156.2.1Taxonomic Uncertainty on Multivariate Analyses of Ecological
R-betaSandwich1.0.7-lp156.2.1Robust Confidence Intervals for Standardized Regression Coef
R-betategarch3.3-lp156.2.1Simulation, Estimation and Forecasting of Beta-Skew-t-EGARCH
R-bethel0.2-lp156.2.1Bethel\'s algorithm.
R-bets.covid191.0.0-lp156.2.1The BETS Model for Early Epidemic Data
R-bettermc1.2.1-lp156.1.1Enhanced Fork-Based Parallelization
R-BeyondBenford1.4-lp156.14.1Compare the Goodness of Fit of Benford\'s and Blondeau Da Si
R-bezier1.1.2-lp156.2.1Toolkit for Bezier Curves and Splines
R-bfsl0.2.0-lp156.1.1Best-Fit Straight Line
R-BGData2.4.0-lp156.2.1A Suite of Packages for Analysis of Big Genomic Data
R-bgev0.1-lp156.2.1Bimodal GEV Distribution with Location Parameter
R-bgeva0.3.1-lp156.2.1Binary Generalized Extreme Value Additive Models
R-BGFD0.1-lp156.1.1Bell-G and Complementary Bell-G Family of Distributions
R-bggAnalytics0.2.1-lp156.4.1BoardGameGeek\'s Board Game Data Analysis Tools
R-BGGE0.6.5-lp156.2.1Bayesian Genomic Linear Models Applied to GE Genome Selectio
R-bgmfiles0.0.6-lp156.2.1Example BGM Files for the Atlantis Ecosystem Model
R-BGPhazard2.1.1-lp156.3.1Markov Beta and Gamma Processes for Modeling Hazard Rates
R-BGSIMD1.0-lp156.2.1Block Gibbs Sampler with Incomplete Multinomial Distribution
R-bgw0.1.3-lp156.2.1Bunch-Gay-Welsch Statistical Estimation
R-BH1.84.0.0-lp156.1.1Boost C++ header files
R-BH-devel1.84.0.0-lp156.1.1Development files for BH
R-Bhat0.9.12-lp156.1.1General likelihood exploration
R-BHH22016.05.31-lp156.2.1Useful Functions for Box, Hunter and Hunter II
R-bhm1.18-lp156.4.1Biomarker Threshold Models
R-bhpm1.7-lp156.2.1Bayesian Hierarchical Poisson Models for Multiple Grouped Ou
R-BHTSpack0.6-lp156.1.1Bayesian Multi-Plate High-Throughput Screening of Compounds
R-BI1.2.0-lp156.2.1Blinding Assessment Indexes for Randomized, Controlled, Clin
R-biasbetareg1.0-lp156.2.1Bias correction of the parameter estimates of the beta regre
R-BiasedUrn2.0.12-lp156.1.1Biased Urn model distributions
R-bib2df1.1.2.0-lp156.2.1Parse a BibTeX File to a Data Frame
R-bibliometrixData0.3.0-lp156.1.1Bibliometrix Example Datasets
R-biblionetwork0.1.0-lp156.1.1Create Different Types of Bibliometric Networks
R-bibliorefer0.1.0-lp156.2.1Generator of Main Scientific References
R-biblioverlap1.0.2-lp156.3.1Document-Level Matching Between Bibliographic Datasets
R-BibPlots0.0.8-lp156.1.1Plot Functions for Use in Bibliometrics
R-bibs1.1.1-lp156.1.1Bayesian Inference for the Birnbaum-Saunders Distribution
R-bibtex0.5.1-lp156.1.1Bibtex Parser
R-BiCausality0.1.4-lp156.1.1Binary Causality Inference Framework
R-biclique1.0.5-lp156.2.1Maximal Biclique Enumeration in Bipartite Graphs
R-biclust2.0.3.1-lp156.2.1BiCluster Algorithms
R-biclustermd0.2.3-lp156.10.1Biclustering with Missing Data
R-BICORN0.1.0-lp156.2.1Integrative Inference of De Novo Cis-Regulatory Modules
R-BiDimRegression2.0.1-lp156.1.1Calculates the Bidimensional Regression Between Two 2D Confi
R-BIDistances0.0.2-lp156.1.1Bioinformatic Distances
R-bigalgebra1.1.0-lp156.2.1\'BLAS\' and \'LAPACK\' Routines for Native R Matrices and \
R-biganalytics1.1.22-lp156.2.1Utilities for \'big.matrix\' Objects from Package \'bigmemor
R-bigassertr0.1.6-lp156.1.1Assertion and Message Functions
R-bigchess1.9.1-lp156.3.1Read, Write, Manipulate, Explore Chess PGN Files and R API t
R-bigD0.2.0-lp156.1.1Flexibly Format Dates and Times to a Given Locale
R-bigdatadist1.1-lp156.2.1Distances for Machine Learning and Statistics in the Context
R-bigleaf0.8.2-lp156.4.1Physical and Physiological Ecosystem Properties from Eddy Co
R-biglm0.9.3-lp156.1.1bounded memory linear and generalized linear models
R-biglmm0.9.2-lp156.2.1bounded memory linear and generalized linear models
R-bigmatch0.6.4-lp156.2.1Making Optimal Matching Size-Scalable Using Optimal Calipers
R-bigmds3.0.0-lp156.1.1Multidimensional Scaling for Big Data
R-bigmemory.sri0.1.8-lp156.1.1A Shared Resource Interface for Bigmemory Project Packages
R-bigparallelr0.3.2-lp156.2.1Easy Parallel Tools
R-bigQueryR0.5.0-lp156.9.1Interface with Google BigQuery with Shiny Compatibility
R-bigsplines1.1.1-lp156.2.1Smoothing Splines for Large Samples
R-bigtcr1.1-lp156.2.1Nonparametric Analysis of Bivariate Gap Time with Competing
R-bikeshare140.1.4-lp156.1.1Bay Area Bike Share Trips in 2014
R-bikm11.1.0-lp156.9.1Co-Clustering Adjusted Rand Index and Bikm1 Procedure for Co
R-bild1.2.1-lp156.1.1A Package for BInary Longitudinal Data
R-billboard0.1.0-lp156.11.1Contains Data of Billboard Hot 100 Songs
R-bimetallic1.0-lp156.2.1Power for SNP analyses using silver standard cases
R-bimixt1.0-lp156.2.1Estimates Mixture Models for Case-Control Data
R-BimodalIndex1.1.9-lp156.2.1The Bimodality Index
R-binancer1.2.0-lp156.5.1API Client to \'Binance\'
R-Binarize1.3.1-lp156.1.1Binarization of One-Dimensional Data
R-BinarybalancedCut0.2-lp156.15.1Threshold Cut Point of Probability for a Binary Classifier M
R-BinaryEMVS0.1-lp156.2.1Variable Selection for Binary Data Using the EM Algorithm
R-BinaryEPPM3.0-lp156.1.1Mean and Scale-Factor Modeling of Under- And Over-Dispersed
R-binaryLogic0.3.9-lp156.2.1Binary Logic
R-binaryMM0.1.1-lp156.2.1Flexible Marginalized Models for Binary Correlated Outcomes
R-BINCOR0.2.0-lp156.2.1Estimate the Correlation Between Two Irregular Time Series
R-binda1.0.4-lp156.1.1Multi-Class Discriminant Analysis using Binary Predictors
R-bindata0.9.21-lp156.2.1Generation of Artificial Binary Data
R-bindr0.1.1-lp156.2.1Parametrized Active Bindings
R-binequality1.0.4-lp156.2.1Methods for Analyzing Binned Income Data
R-binford0.1.0-lp156.2.1Binford\'s Hunter-Gatherer Data
R-binfunest0.1.0-lp156.1.1Estimates Parameters of Functions Driving Binomial Random Va
R-bingat1.3-lp156.11.1Binary Graph Analysis Tools
R-binGroup2.2.1-lp156.6.1Evaluation and experimental design for binomial group testin
R-binhf1.0.3-lp156.2.1Haar-Fisz Functions for Binomial Data
R-binman0.1.3-lp156.2.1A Binary Download Manager
R-binMto0.0.7-lp156.2.1Many-to-One Comparisons of Proportions
R-BinNonNor1.5.3-lp156.1.1Data Generation with Binary and Continuous Non-Normal Compon
R-binom1.1.1.1-lp156.1.1Binomial Confidence Intervals For Several Parameterizations
R-binomCI1.1-lp156.1.1Confidence Intervals for a Binomial Proportion
R-binomialcftp1.0-lp156.2.1Generates binomial random numbers via the coupling from the
R-binomialRF0.1.0-lp156.3.1Binomial Random Forest Feature Selection
R-binomialtrend0.0.0.3-lp156.2.1Calculates the Statistical Significance of a Trend in a Set
R-binomlogit1.2-lp156.2.1Efficient MCMC for Binomial Logit Models
R-binomSamSize0.1.5-lp156.2.1Confidence Intervals and Sample Size Determination for a Bin
R-BinOrdNonNor1.5.2-lp156.1.1Concurrent Generation of Binary, Ordinal and Continuous Data
R-binostics0.1.3-lp156.1.1Compute Scagnostics
R-binovisualfields0.1.1-lp156.13.1Depth-Dependent Binocular Visual Fields Simulation
R-binr1.1.1-lp156.1.1Cut Numeric Values into Evenly Distributed Groups
R-binseqtest1.0.4-lp156.1.1Exact Binary Sequential Designs and Analysis
R-binsmooth0.2.2-lp156.4.1Generate PDFs and CDFs from Binned Data
R-binst0.2.1-lp156.2.1Data Preprocessing, Binning for Classification and Regressio
R-bio.infer1.3.6-lp156.2.1Predict Environmental Conditions from Biological Observation
R-bioassays1.0.1-lp156.17.1Summarising Multi Well Plate Cellular Assay
R-BiObjClass0.1.0-lp156.2.1Classification of Algorithms
R-biobricks0.2.2-lp156.1.1Access Data Dependencies Installed Through \'Biobricks.ai\'
R-bioC.logs1.2.1-lp156.1.1BioConductor Package Downloads Stats
R-BioCro3.1.3-lp156.2.1Modular Crop Growth Simulations
R-Biodem0.5-lp156.1.1Biodemography functions
R-BIOdry0.9-lp156.3.1Multilevel Modeling of Dendroclimatical Fluctuations
R-BioFTF1.2.0-lp156.2.1Biodiversity Assessment Using Functional Tools
R-biogas1.23.2-lp156.2.1Process Biogas Data and Predict Biogas Production
R-biogeo1.0-lp156.7.1Point Data Quality Assessment and Coordinate Conversion
R-biogram1.6.3-lp156.5.1N-Gram Analysis of Biological Sequences
R-biogrowth1.0.4-lp156.2.1Modelling of Population Growth
R-bioinactivation1.2.3-lp156.19.1Mathematical Modelling of (Dynamic) Microbial Inactivation
R-Biolinv0.1.3-lp156.11.1Modelling and Forecasting Biological Invasions
R-biologicalActivityIndices0.1.0-lp156.2.1Biological Activity Indices
R-BIOM.utils0.9-lp156.2.1Utilities for the BIOM (Biological Observation Matrix) Forma
R-biometryassist1.2.1-lp156.1.1Functions to Assist Design and Analysis of Agronomic Experim
R-biomod24.2.5.2-lp156.1.1Ensemble Platform for Species Distribution Modeling
R-bionetdata1.1-lp156.1.1Biological and Chemical Data Networks
R-BioPET0.2.2-lp156.14.1Biomarker Prognostic Enrichment Tool
R-BioPETsurv0.1.0-lp156.14.1Biomarker Prognostic Enrichment Tool for Time-to-Event Trial
R-bioPN1.2.0-lp156.2.1Simulation of deterministic and stochastic biochemical react
R-BioProbability1.0-lp156.2.1Probability in Biostatistics
R-BioRssay1.1.0-lp156.1.1Analyze Bioassays and Probit Graphs
R-biorxivr1.0.2-lp156.2.1Search and Download Papers from the bioRxiv Preprint Server
R-biosampleR1.0.4-lp156.1.1Biodiversity Index Calculation and Bootstrap Confidence Inte
R-bioseq0.1.4-lp156.7.1A Toolbox for Manipulating Biological Sequences
R-bioset0.2.3-lp156.9.1Convert a Matrix of Raw Values into Nice and Tidy Data
R-biosignalEMG2.1.0-lp156.2.1Tools for Electromyogram Signals (EMG) Analysis
R-bioSNR1.0-lp156.1.1Bioacoustic Basic Operations with Decibels and the Passive S
R-BioStatR4.0.1-lp156.1.1Initiation à La Statistique Avec R
R-biosurvey0.1.1-lp156.5.1Tools for Biological Survey Planning
R-biotic0.1.2-lp156.2.1Calculation of Freshwater Biotic Indices
R-biotools4.2-lp156.1.1Tools for Biometry and Applied Statistics in Agricultural Sc
R-bipartite2.20-lp156.2.1Visualising Bipartite Networks and Calculating Some (Ecologi
R-birankr1.0.1-lp156.2.1Ranking Nodes in Bipartite and Weighted Networks
R-birdring1.6-lp156.2.1Methods to Analyse Ring Re-Encounter Data
R-birk2.1.2-lp156.2.1MA Birk\'s Functions
R-birtr1.0.0-lp156.2.1The R Package for \"The Basics of Item Response Theory Using
R-BIS0.3.1-lp156.5.1Programmatic Access to Bank for International Settlements Da
R-biscale1.0.0-lp156.6.1Tools and Palettes for Bivariate Thematic Mapping
R-BISdata0.2.3-lp156.2.1Download Data from the Bank for International Settlements (B
R-bisect0.9.0-lp156.2.1Estimating Cell Type Composition from Methylation Sequencing
R-bisg0.1.0-lp156.1.1Performs Bayesian Improved Surname Geocoding
R-BisRNA0.2.2-lp156.2.1Analysis of RNA Cytosine-5 Methylation
R-bite0.3-lp156.19.1Bayesian Integrative Models of Trait Evolution
R-bitmexr0.3.3-lp156.3.1R Client for BitMEX
R-BiTrinA1.3.1-lp156.1.1Binarization and Trinarization of One-Dimensional Data
R-bitsqueezr0.1.1-lp156.2.1Quantize Floating-Point Numbers for Improved Compressibility
R-bivariate0.7.0-lp156.1.1Bivariate Probability Distributions
R-Bivariate.Pareto1.0.3-lp156.2.1Bivariate Pareto Models
R-bivariatemaps1.3-lp156.2.1Creates Bivariate Maps
R-BivarP1.0-lp156.2.1Estimating the Parameters of Some Bivariate Distributions
R-bivarRIpower1.2-lp156.2.1Sample size calculations for bivariate longitudinal data
R-BivGeo2.0.1-lp156.2.1Basu-Dhar Bivariate Geometric Distribution
R-bivgeom1.0-lp156.2.1Roy\'s Bivariate Geometric Distribution
R-bivquant0.1-lp156.2.1Estimation of Bivariate Quantiles
R-BivRec1.2.1-lp156.10.1Bivariate Alternating Recurrent Event Data Analysis
R-BivRegBLS1.1.1-lp156.2.1Tolerance Interval and EIV Regression - Method Comparison St
R-bivrp1.2.2-lp156.2.1Bivariate Residual Plots with Simulation Polygons
R-BivUnifBin1.3.3-lp156.1.1Generation of Bivariate Uniform Data and Its Relation to Biv
R-biwt1.0.1-lp156.1.1Compute the Biweight Mean Vector and Covariance & Correlatio
R-bizdays1.0.16-lp156.1.1Business Days Calculations and Utilities
R-bjscrapeR0.1.0-lp156.14.1An API Wrapper for the Bureau of Justice Statistics (BJS)
R-bkmr0.2.2-lp156.11.1Bayesian Kernel Machine Regression
R-BLA1.0.1-lp156.2.1Boundary Line Analysis
R-BlackCarbon0.1.0-lp156.2.1Processing Raw Black Carbon Concentration
R-blaise1.3.11-lp156.2.1Read and Write FWF Files in the \'Blaise\' Format
R-BlakerCI1.0.6-lp156.2.1Blaker\'s Binomial and Poisson Confidence Limits
R-BlandAltmanLeh0.3.1-lp156.2.1Plots (Slightly Extended) Bland-Altman Plots
R-blendedLink1.0-lp156.2.1A New Link Function that Blends Two Specified Link Functions
R-blender0.1.2-lp156.2.1Analyze biotic homogenization of landscapes
R-blink1.1.0-lp156.4.1Record Linkage for Empirically Motivated Priors
R-blm2022.0.0.1-lp156.1.1Binomial Linear Regression
R-BLModel1.0.2-lp156.2.1Black-Litterman Posterior Distribution
R-blob1.2.4-lp156.1.1A Simple S3 Class for Representing Vectors of Binary Data (\
R-BlockCov0.1.1-lp156.16.1Estimation of Large Block Covariance Matrices
R-BlockFeST2.0-lp156.1.1Bayesian Calculation of Region-Specific Fixation Index to De
R-blocklength0.1.5-lp156.3.1Select an Optimal Block-Length to Bootstrap Dependent Data (
R-blockmatrix1.0-lp156.2.1blockmatrix: Tools to solve algebraic systems with partition
R-BlockMessage1.0-lp156.2.1Creates strings that show a text message in 8 by 8 block let
R-blockmodeling1.1.5-lp156.1.1Generalized and Classical Blockmodeling of Valued Networks
R-blockrand1.5-lp156.2.1Randomization for block random clinical trials
R-blocksdesign4.9-lp156.2.1Nested and Crossed Block Designs for Factorial and Unstructu
R-blockTools0.6.4-lp156.1.1Block, Assign, and Diagnose Potential Interference in Random
R-blocs0.1.1-lp156.2.1Estimate and Visualize Voting Blocs\' Partisan Contributions
R-BLOQ0.1.1-lp156.3.1Impute and Analyze Data with BLOQ Observations
R-BLR1.6-lp156.2.1Bayesian Linear Regression
R-BLRPM1.0-lp156.3.1Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pul
R-blsAPI0.2.1-lp156.1.1Request Data from the U.S. Bureau of Labor Statistics API
R-blscrapeR4.0.1-lp156.2.1An API Wrapper for the United States Bureau of Labor Statist
R-blsR0.5.0-lp156.2.1Make Requests from the Bureau of Labor Statistics API
R-BlythStillCasellaCI1.1.0-lp156.2.1Blyth-Still-Casella Exact Binomial Confidence Intervals
R-BMA3.18.17-lp156.1.1Bayesian Model Averaging
R-BMAmevt1.0.5-lp156.1.1Multivariate Extremes: Bayesian Estimation of the Spectral M
R-bmass1.0.3-lp156.2.1Bayesian Multivariate Analysis of Summary Statistics
R-BMconcor2.0.0-lp156.2.1CONCOR for Structural- And Regular-Equivalence Blockmodeling
R-Bmix0.6-lp156.2.1Bayesian Sampling for Stick-Breaking Mixtures
R-bmixture1.7-lp156.8.1Bayesian Estimation for Finite Mixture of Distributions
R-bmk1.0-lp156.2.1MCMC diagnostics package
R-bmmix0.1.2-lp156.9.1Bayesian multinomial mixture
R-bmp0.3-lp156.2.1Read Windows Bitmap (BMP) Images
R-BMRBr0.2.0-lp156.12.1\'BMRB\' File Downloader
R-BMRSr1.0.3-lp156.9.1Wrapper Functions to the \'BMRS API\'
R-BMRV1.32-lp156.3.1Bayesian Models for Rare Variant Association Analysis
R-BMS0.3.5-lp156.1.1Bayesian Model Averaging Library
R-BNDataGenerator1.0-lp156.2.1Data generator based on Bayesian network model
R-bndesr1.0.3-lp156.2.1Access Data from the Brazilian Development Bank (BNDES)
R-bnlearn4.9.4-lp156.2.1Bayesian Network Structure Learning, Parameter Learning and
R-BNN1.0.2-lp156.2.1Bayesian Neural Network for High-Dimensional Nonlinear Varia
R-bnormnlr1.0-lp156.2.1Bayesian Estimation for Normal Heteroscedastic Nonlinear Reg
R-BNPdensity2023.3.8-lp156.2.1Ferguson-Klass Type Algorithm for Posterior Normalized Rando
R-bnpsd1.3.13-lp156.3.1Simulate Genotypes from the BN-PSD Admixture Model
R-BNPTSclust2.0-lp156.2.1A Bayesian Nonparametric Algorithm for Time Series Clusterin
R-bnstruct1.0.15-lp156.2.1Bayesian Network Structure Learning from Data with Missing V
R-boa1.1.8.2-lp156.2.1Bayesian Output Analysis Program (BOA) for MCMC
R-BoardGames1.0.0-lp156.2.1Board Games and Tools for Building Board Games
R-bodenmiller0.1.1-lp156.1.1Profiling of Peripheral Blood Mononuclear Cells using CyTOF
R-bodsr0.1.0-lp156.1.1Call the Bus Open Data Service (\'BODS\') API Through R
R-bodycomp1.0.0-lp156.1.1Percent Body Fat Values Using Anthropometric Prediction Equa
R-BOG2.0-lp156.2.1Bacterium and Virus Analysis of Orthologous Groups (BOG) is
R-boggy0.0.1-lp156.2.1Real-Time PCR Data Sets by Boggy et al. (2010)
R-BOJ0.3-lp156.8.1Interface to Bank of Japan Statistics
R-bold1.3.0-lp156.3.1Interface to Bold Systems API
R-Bolstad0.2.41-lp156.2.1Functions for Elementary Bayesian Inference
R-Bolstad21.0.29-lp156.1.1Bolstad functions
R-bomrang0.7.2-lp156.1.1Australian Government Bureau of Meteorology (\'BOM\') Data C
R-bondAnalyst1.0.1-lp156.1.1Methods for Fixed-Income Valuation, Risk and Return
R-bonn1.0.2-lp156.1.1Access INKAR Database
R-BoolFilter1.0.0-lp156.8.1Optimal Estimation of Partially Observed Boolean Dynamical S
R-BoolNet2.1.9-lp156.2.1Construction, Simulation and Analysis of Boolean Networks
R-Boom0.9.15-lp156.1.1Bayesian Object Oriented Modeling
R-Boom-devel0.9.15-lp156.1.1Development files for Boom
R-BoomSpikeSlab1.2.6-lp156.1.1MCMC for Spike and Slab Regression
R-boostingDEA0.1.0-lp156.1.1A Boosting Approach to Data Envelopment Analysis
R-boostr1.0.0-lp156.3.1A modular framework to bag or boost any estimation procedure
R-bootComb1.1.2-lp156.1.1Combine Parameter Estimates via Parametric Bootstrap
R-bootES1.3.0-lp156.1.1Bootstrap Confidence Intervals on Effect Sizes
R-bootf20.4.1-lp156.9.1Simulation and Comparison of Dissolution Profiles
R-bootGOF0.1.0-lp156.1.1Bootstrap Based Goodness-of-Fit Tests
R-bootLR1.0.2-lp156.2.1Bootstrapped Confidence Intervals for (Negative) Likelihood
R-BootMRMR0.1-lp156.2.1Bootstrap-MRMR Technique for Informative Gene Selection
R-BootPR1.0-lp156.1.1Bootstrap Prediction Intervals and Bias-Corrected Forecastin
R-bootRes1.2.4-lp156.2.1Bootstrapped Response and Correlation Functions
R-bootruin1.2.4-lp156.2.1A Bootstrap Test for the Probability of Ruin in the Classica
R-bootspecdens3.0-lp156.2.1Testing equality of spectral densities
R-bootStepAIC1.3.0-lp156.1.1Bootstrap stepAIC
R-bootstrap2019.6-lp156.2.1Functions for the Book \"An Introduction to the Bootstrap\"
R-bootstrapFP0.4.6-lp156.2.1Bootstrap Algorithms for Finite Population Inference
R-BootstrapQTL1.0.5-lp156.1.1Bootstrap cis-QTL Method that Corrects for the Winner\'s Cur
R-bootsurv0.0.1-lp156.2.1Bootstrap Methods for Complete Survey Data
R-bootSVD1.1-lp156.1.1Fast, Exact Bootstrap Principal Component Analysis for High
R-boottol2.0-lp156.2.1Bootstrap Tolerance Levels for Credit Scoring Validation Sta
R-BootWPTOS1.2.1-lp156.3.1Test Stationarity using Bootstrap Wavelet Packet Tests
R-Boptbd1.0.5-lp156.7.1Bayesian Optimal Block Designs
R-bor0.1.0-lp156.2.1Transforming Behavioral Observation Records into Data Matric
R-BOSO1.0.4-lp156.2.1Bilevel Optimization Selector Operator
R-BoSSA3.7-lp156.14.1A Bunch of Structure and Sequence Analysis
R-bossR1.0.4-lp156.1.1Biomarker Optimal Segmentation System
R-botor0.4.0-lp156.2.1\'AWS Python SDK\' (\'boto3\') for R
R-BoundaryStats2.1.1-lp156.1.1Boundary Overlap Statistics
R-BoundEdgeworth0.1.2.1-lp156.1.1Bound on the Error of the First-Order Edgeworth Expansion
R-boussinesq1.0.6-lp156.1.1Analytic Solutions for (Ground-Water) Boussinesq Equation
R-boutliers1.1.2-lp156.1.1Outlier Detection and Influence Diagnostics for Meta-Analysi
R-box1.2.0-lp156.1.1Write Reusable, Composable and Modular R Code
R-boxfilter0.2-lp156.1.1Filter Noisy Data
R-boxplotcluster0.3-lp156.1.1Clustering Method Based on Boxplot Statistics
R-boxplotdbl1.4.0-lp156.1.1Double Box Plot for Two-Axes Correlation
R-bp2.1.0-lp156.8.1Blood Pressure Analysis in R
R-bpa0.1.1-lp156.3.1Basic Pattern Analysis
R-bpAcc0.0.2-lp156.1.1Blood Pressure Device Accuracy Evaluation: Statistical Consi
R-bpbounds0.1.6-lp156.1.1Nonparametric Bounds for the Average Causal Effect Due to Ba
R-bpcp1.4.2-lp156.6.1Beta Product Confidence Procedure for Right Censored Data
R-bpDir0.1.2-lp156.1.1Boxplots for Directional Data
R-bPeaks1.2-lp156.2.1bPeaks: an intuitive peak-calling strategy to detect transcr
R-BPmodel1.1.2-lp156.3.1Beta-Prime Regression Model
R-bpp1.0.4-lp156.1.1Computations Around Bayesian Predictive Power
R-bqtl1.0.36-lp156.1.1Bayesian QTL mapping toolkit
R-bracer1.2.2-lp156.2.1Brace Expansions
R-BRACoD.R0.0.2.0-lp156.3.1BRACoD: Bayesian Regression Analysis of Compositional Data
R-braids1.0.0-lp156.2.1The Braid Groups
R-brainGraph3.1.0-lp156.2.1Graph Theory Analysis of Brain MRI Data
R-Branching0.9.7-lp156.1.1Simulation and Estimation for Branching Processes
R-brandwatchR0.3.0-lp156.2.1\'Brandwatch\' API to R
R-brant0.3.0-lp156.2.1Test for Parallel Regression Assumption
R-braQCA1.2.1.29-lp156.12.1Bootstrapped Robustness Assessment for Qualitative Comparati
R-brassica1.0.2-lp156.1.11970s BASIC Interpreter
R-BrazilMet0.2.0-lp156.7.1Download and Processing of Automatic Weather Stations (AWS)
R-brclimr0.2.0-lp156.2.1Fetch Zonal Statistics of Weather Indicators for Brazilian M
R-BRDT0.1.0-lp156.2.1Binomial Reliability Demonstration Tests
R-bread0.4.1-lp156.1.1Analyze Big Files Without Loading Them in Memory
R-breakage1.1.1-lp156.2.1SICM pipette tip geometry estimation
R-breakDown0.2.2-lp156.2.1Model Agnostic Explainers for Individual Predictions
R-BreakPoints1.2-lp156.2.1Identify Breakpoints in Series of Data
R-breathtestcore0.8.7-lp156.3.1Core Functions to Read and Fit 13c Time Series from Breath T
R-bReeze0.4.4-lp156.1.1Functions for Wind Resource Assessment
R-BRETIGEA1.0.3-lp156.1.1Brain Cell Type Specific Gene Expression Analysis
R-brew1.0.10-lp156.1.1Templating Framework for Report Generation
R-brglm0.7.2-lp156.1.1Bias reduction in binomial-response generalized linear model
R-brglm20.9.2-lp156.1.1Bias Reduction in Generalized Linear Models
R-brickset2024.0.0-lp156.3.1Interface with the Brickset API for Getting Data About LEGO
R-bridgedist0.1.2-lp156.2.1An Implementation of the Bridge Distribution with Logit-Link
R-bridgesampling1.1.2-lp156.7.1Bridge Sampling for Marginal Likelihoods and Bayes Factors
R-briKmeans1.0-lp156.2.1Package for Brik, Fabrik and Fdebrik Algorithms to Initialis
R-brio1.1.5-lp156.2.1Basic R Input Output
R-briqr0.1.0-lp156.13.1Interface to the \'Briq\' API
R-brisk0.1.0-lp156.6.1Bayesian Benefit Risk Analysis
R-BRL0.1.0-lp156.2.1Beta Record Linkage
R-brlrmr0.1.7-lp156.4.1Bias Reduction with Missing Binary Response
R-brm1.1.1-lp156.2.1Binary Regression Model
R-brnn0.9.3-lp156.1.1Bayesian Regularization for Feed-Forward Neural Networks
R-Brobdingnag1.2.9-lp156.1.1Very large numbers in R
R-brolgar1.0.1-lp156.2.1Browse Over Longitudinal Data Graphically and Analytically i
R-broman0.84-lp156.2.1Karl Broman\'s R Code
R-broom.mixed0.2.9.5-lp156.3.1Tidying Methods for Mixed Models
R-broomExtra4.3.2-lp156.1.1Enhancements for \'broom\' and \'easystats\' Package Familie
R-BrownDog0.2.1-lp156.7.1Brown Dog R Interface
R-brpop0.3.0-lp156.3.1Brazilian Population Estimatives
R-Brq3.0-lp156.2.1Bayesian Analysis of Quantile Regression Models
R-brt1.3.0-lp156.7.1Biological Relevance Testing
R-brulee0.3.0-lp156.1.1High-Level Modeling Functions with \'torch\'
R-brunnermunzel2.0-lp156.1.1(Permuted) Brunner-Munzel Test
R-bs4cards0.1.1-lp156.6.1Generate Bootstrap Cards
R-bsamGP1.2.5-lp156.2.1Bayesian Spectral Analysis Models using Gaussian Process Pri
R-BSBT1.2.1-lp156.4.1The Bayesian Spatial Bradley--Terry Model
R-bscaling1.0-lp156.2.1Variable Binary Scaling
R-BSDA1.2.2-lp156.1.1Basic Statistics and Data Analysis
R-bsgof0.23.8-lp156.1.1Birnbaum-Saunders Goodness-of-Fit Test
R-BSGS2.0-lp156.2.1Bayesian Sparse Group Selection
R-BSGW0.9.4-lp156.2.1Bayesian Survival Model with Lasso Shrinkage Using Generaliz
R-bshazard1.2-lp156.2.1Nonparametric Smoothing of the Hazard Function
R-bsicons0.1.2-lp156.3.1Easily Work with \'Bootstrap\' Icons
R-bSims0.3.2-lp156.2.1Agent-Based Bird Point Count Simulator
R-bskyr0.1.2-lp156.1.1Interact with \'Bluesky\' Social
R-BsMD2023.920-lp156.1.1Bayes Screening and Model Discrimination
R-bspec1.6-lp156.1.1Bayesian Spectral Inference
R-bspm0.5.7-lp156.2.1Bridge to System Package Manager
R-bspmma0.1.2-lp156.2.1Bayesian Semiparametric Models for Meta-Analysis
R-bsreg0.0.2-lp156.1.1Bayesian Spatial Regression Models
R-BSS0.1.0-lp156.11.1Brownian Semistationary Processes
R-BSSasymp1.2.3-lp156.2.1Asymptotic Covariance Matrices of Some BSS Mixing and Unmixi
R-BSSoverSpace0.1.0-lp156.7.1Blind Source Separation for Multivariate Spatial Data using
R-bst0.3.24-lp156.1.1Gradient Boosting
R-bsTools1.0.5-lp156.1.1Create HTML Content with Bootstrap 5 Classes and Layouts
R-bstrl1.0.2-lp156.2.1Bayesian Streaming Record Linkage
R-bsts0.9.10-lp156.1.1Bayesian Structural Time Series
R-bsub1.1.0-lp156.1.1Submitter and Monitor of the \'LSF Cluster\'
R-BSW0.1.1-lp156.1.1Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenp
R-BT0.4-lp156.1.1(Adaptive) Boosting Trees Algorithm
R-BTdecayLasso0.1.1-lp156.3.1Bradley-Terry Model with Exponential Time Decayed Log-Likeli
R-BTSR0.1.5-lp156.1.1Bounded Time Series Regression
R-BTYD2.4.3-lp156.12.1Implementing BTYD Models with the Log Sum Exp Patch
R-bubbleHeatmap0.1.1-lp156.1.1Produces \'bubbleHeatmap\' Plots for Visualising Metabolomic
R-bubblyr0.1.2-lp156.8.1Beautiful Bubbles for \'shiny\' and \'rmarkdown\' Background
R-bucky1.0.7-lp156.1.1Bucky\'s Archive for Data Analysis in the Social Sciences
R-BUCSS1.2.1-lp156.2.1Bias and Uncertainty Corrected Sample Size
R-buffeRs0.31-lp156.3.1Buffer Generation for Spatial Models
R-buildr0.1.1-lp156.7.1Organize & Run Build Scripts Comfortably
R-BuildSys1.1.2-lp156.1.1System for Building and Debugging C/C++ Dynamic Libraries
R-bulkQC1.1-lp156.2.1Quality Control and Outlier Identification in Bulk for Multi
R-bulkreadr1.1.1-lp156.2.1The Ultimate Tool for Reading Data in Bulk
R-bulletcp1.0.0-lp156.14.1Automatic Groove Identification via Bayesian Changepoint Det
R-bullishTrader1.0.1-lp156.1.1Bullish Trading Strategies Through Graphs
R-bullwhipgame0.1.0-lp156.13.1Bullwhip Effect Demo in Shiny
R-bumbl1.0.3-lp156.3.1Tools for Modeling Bumblebee Colony Growth and Decline
R-bunching0.8.6-lp156.6.1Estimate Bunching
R-bunchr1.2.0-lp156.13.1Analyze Bunching in a Kink or Notch Setting
R-bundesbank0.1.12-lp156.2.1Download Data from Bundesbank
R-bundesligR0.1.0-lp156.2.1All Final Tables of the Bundesliga
R-bundle0.1.0-lp156.3.1Serialize Model Objects with a Consistent Interface
R-bupaR0.5.4-lp156.2.1Business Process Analysis in R
R-burnr0.6.1-lp156.8.1Forest Fire History Analysis
R-bursa0.1.0-lp156.2.1R Wrapper for Bursa Municipality Open Data Portal
R-BurStFin1.3-lp156.1.1Burns Statistics Financial
R-BurStMisc1.1-lp156.2.1Burns Statistics Miscellaneous
R-bursts1.0.2-lp156.1.1Markov Model for Bursty Behavior in Streams
R-busdater0.2.0-lp156.6.1Standard Date Calculations for Business
R-BusinessDuration0.2.0-lp156.2.1Calculates Business Duration Between Two Dates
R-butcher0.3.4-lp156.2.1Model Butcher
R-butterflyOptions1.0.1-lp156.2.1Trading Butterfly Options Strategies
R-Bvalue1.0-lp156.2.1B-Value and Empirical Equivalence Bound
R-BVAR1.0.5-lp156.1.1Hierarchical Bayesian Vector Autoregression
R-BVARverse0.0.1-lp156.18.1Tidy Bayesian Vector Autoregression
R-bvenn0.1-lp156.2.1A Simple alternative to proportional Venn diagrams
R-bvls1.4-lp156.2.1The Stark-Parker algorithm for bounded-variable least square
R-bvpa1.0.0-lp156.1.1Bivariate Pareto Distribution
R-bvpSolve1.4.4.1-lp156.1.1Solvers for Boundary Value Problems of Differential Equation
R-bwd0.1.0-lp156.2.1Backward Procedure for Change-Point Detection
R-bwimage1.3-lp156.2.1Describe Image Patterns in Natural Structures
R-bwsTools1.2.0-lp156.15.1Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs
R-bysykkel0.3.1-lp156.13.1Get City Bike Data from Norway
R-bytescircle1.1.2-lp156.1.1Statistics About Bytes Contained in a File as a Circle Plot
R-C19dNUTS1.0.1-lp156.1.1Dataset of Regional COVID-19 Deaths per 100,000 Pop (NUTS)
R-c2120.98-lp156.2.1Methods for Detecting Safety Signals in Clinical Trials Usin
R-c2c0.1.0-lp156.2.1Compare Two Classifications or Clustering Solutions of Varyi
R-c2d4u.tools1.2-lp156.1.1\'c2d4u\' - CRAN Packages for \'Ubuntu\'
R-c2z0.2.0-lp156.2.1A Reference Manager
R-c3net1.1.1.1-lp156.6.1Inferring Large-Scale Gene Networks with C3NET
R-C500.1.8-lp156.2.1C5.0 Decision Trees and Rule-Based Models
R-ca0.71.1-lp156.2.1Simple, Multiple and Joint Correspondence Analysis
R-cabinets0.6.0-lp156.7.1Project Specific Workspace Organization Templates
R-cabootcrs2.1.0-lp156.1.1Bootstrap Confidence Regions for Simple and Multiple Corresp
R-cache0.0.3-lp156.2.1Cache and Retrieve Computation Results
R-cachem1.1.0-lp156.2.1Cache R Objects with Automatic Pruning
R-cacIRT1.4-lp156.2.1Classification Accuracy and Consistency under Item Response
R-CaDENCE1.2.5-lp156.2.1Conditional Density Estimation Network Construction and Eval
R-caesar1.1.0-lp156.2.1Encrypts and Decrypts Strings
R-caffsim0.2.2-lp156.25.1Simulation of Plasma Caffeine Concentrations by Using Popula
R-CAGR1.1.0-lp156.2.1Compound Annual Growth Rate
R-Cairo1.6.2-lp156.1.1R graphics device using cairo graphics library for creating
R-CAISEr1.0.17-lp156.2.1Comparison of Algorithms with Iterative Sample Size Estimati
R-calACS2.2.2-lp156.2.1Calculations for All Common Subsequences
R-Calculator.LR.FNs1.3-lp156.2.1Calculator for LR Fuzzy Numbers
R-calcUnique0.1.2-lp156.2.1Simple Wrapper for Computationally Expensive Functions
R-calcWOI1.0.3-lp156.2.1Calculates the Wavelet-Based Organization Index
R-CALF1.0.17-lp156.6.1Coarse Approximation Linear Function
R-calibrar0.9.0-lp156.2.1Automated Parameter Estimation for Complex Models
R-calibrate1.7.7-lp156.2.1Calibration of Scatterplot and Biplot Axes
R-calibrateBinary0.1-lp156.3.1Calibration for Computer Experiments with Binary Responses
R-CalibrateSSB1.3.0-lp156.6.1Weighting and Estimation for Panel Data with Non-Response
R-calibrator1.2.8-lp156.3.1Bayesian Calibration of Complex Computer Codes
R-caliver2.0.0-lp156.1.1Calibration and Verification of Gridded Model Outputs
R-CallEshotgun0.2.0-lp156.3.1Providing an Interface to the e-Shotgun Algorithm for Bayesi
R-callr3.7.6-lp156.2.1Call R from R
R-callsync0.2.3-lp156.2.1Recording Synchronisation, Call Detection and Assignment, Au
R-calpassapi0.0.3-lp156.16.1R Interface to Access CalPASS API
R-CAMAN0.78-lp156.1.1Finite Mixture Models and Meta-Analysis Tools - Based on C.A
R-camerondata1.0.0-lp156.1.1Datasets from \"Microeconometrics: Methods and Applications\
R-campaignmanageR0.1.0-lp156.1.1Connect to Campaign Manager via the \'Windsor.ai\' API
R-campfin1.0.11-lp156.2.1Wrangle Campaign Finance Data
R-campsismod1.1.1-lp156.1.1Generic Implementation of a PK/PD Model
R-camsRad0.3.0-lp156.3.1Client for CAMS Radiation Service
R-caMST0.1.6-lp156.1.1Mixed Computerized Adaptive Multistage Testing
R-canadacovid0.3.4-lp156.8.1API Wrapper for the Canadian COVID-19 Tracker
R-canadianmaps2.0.0-lp156.2.1Effortlessly Create Stunning Canadian Maps
R-canaper1.0.1-lp156.3.1Categorical Analysis of Neo- And Paleo-Endemism
R-cancensus0.5.7-lp156.1.1Access, Retrieve, and Work with Canadian Census Data and Geo
R-cancerscreening1.1.1-lp156.1.1Streamline Access to Cancer Screening Data
R-cancerTiming3.1.8-lp156.3.1Estimation of Temporal Ordering of Cancer Abnormalities
R-Canopy1.3.0-lp156.13.1Accessing Intra-Tumor Heterogeneity and Tracking Longitudina
R-canprot2.0.0-lp156.2.1Chemical Analysis of Proteins
R-cansim0.3.16-lp156.2.1Accessing Statistics Canada Data Table and Vectors
R-canvasXpress.data1.34.2-lp156.1.1Datasets for the \'canvasXpress\' Package
R-cap1.0-lp156.2.1Covariate Assisted Principal (CAP) Regression for Covariance
R-caper1.0.3-lp156.1.1Comparative Analyses of Phylogenetics and Evolution in R
R-capitalR1.3.0-lp156.2.1Capital Budgeting Analysis, Annuity Loan Calculations and Am
R-capl1.42-lp156.3.1Compute and Visualize CAPL-2 Scores and Interpretations
R-caplot0.2-lp156.1.1Correspondence Analysis with Geometric Frequency Interpretat
R-capn1.0.0-lp156.2.1Capital Asset Pricing for Nature
R-captioner2.2.3-lp156.2.1Numbers Figures and Creates Simple Captions
R-captr0.3.0-lp156.2.1Client for the Captricity API
R-capushe1.1.2-lp156.1.1CAlibrating Penalities Using Slope HEuristics
R-capwire1.1.4-lp156.2.1Estimates population size from non-invasive sampling
R-carData3.0.5-lp156.1.1Companion to Applied Regression Data Sets
R-cardidates0.4.9-lp156.1.1Identification of Cardinal Dates in Ecological Time Series
R-cardinalR0.1.1-lp156.2.1Collection of Data Structures
R-cardioModel1.4-lp156.2.1Cardiovascular Safety Exposure-Response Modeling in Early-Ph
R-care1.1.11-lp156.1.1High-Dimensional Regression and CAR Score Variable Selection
R-CARE11.1.0-lp156.2.1Statistical package for population size estimation in captur
R-care4cmodel1.0.2-lp156.1.1Carbon-Related Assessment of Silvicultural Concepts
R-caRecall0.1.0-lp156.9.1Government of Canada Vehicle Recalls Database API Wrapper
R-caresid0.1-lp156.1.1Correspondence Analysis Plot and Associations Visualisation
R-carfima2.0.2-lp156.4.1Continuous-Time Fractionally Integrated ARMA Process for Irr
R-cargo0.4.9-lp156.1.1Develop R Packages using Rust
R-caribou1.1.1-lp156.1.1Estimation of Caribou Abundance Based on Radio Telemetry Dat
R-CARLIT1.0-lp156.2.1Ecological Quality Ratios Calculation and Plot
R-CARM1.1.0-lp156.1.1Covariate-Adjusted Adaptive Randomization via Mahalanobis-Di
R-caroline0.9.2-lp156.1.1A Collection of Database, Data Structure, Visualization, and
R-carrier0.1.1-lp156.1.1Isolate Functions for Remote Execution
R-CARRoT3.0.2-lp156.1.1Predicting Categorical and Continuous Outcomes Using One in
R-carx0.7.1-lp156.2.1Censored Autoregressive Model with Exogenous Covariates
R-casabourse2.0.0-lp156.4.1Casablanca Stock Exchange Data
R-CascadeData1.4-lp156.2.1Experimental Data of Cascade Experiments in Genomics
R-cascadeSelect1.1.0-lp156.4.1A Cascade Select Input for \'Shiny\'
R-cascadess0.1.0-lp156.3.1A Style Pronoun for \'htmltools\' Tags
R-CASCORE0.1.2-lp156.1.1Covariate Assisted Spectral Clustering on Ratios of Eigenvec
R-CaseCohortCoxSurvival0.0.34-lp156.1.1Case-Cohort Cox Survival Inference
R-caseMatch1.1.0-lp156.1.1Identify Similar Cases for Qualitative Case Studies
R-casen0.2.1-lp156.1.1Metodos De Estimacion Con Disenio Probabilistico y Estratifi
R-cases0.1.1-lp156.1.1Stratified Evaluation of Subgroup Classification Accuracy
R-casino0.1.0-lp156.17.1Play Casino Games
R-CASMI1.2.2-lp156.1.1\'CASMI\'-Based Functions
R-cassandRa0.2.0-lp156.1.1Finds Missing Links and Metric Confidence Intervals in Ecolo
R-cat0.0.9-lp156.1.1Analysis and Imputation of Categorical-Variable Datasets wit
R-cat.dt0.3.1-lp156.6.1Computerized Adaptive Testing and Decision Trees
R-cat2cat0.4.7-lp156.1.1Handling an Inconsistently Coded Categorical Variable in a L
R-catalog0.1.1-lp156.11.1Access the \'Spark Catalog\' API via \'sparklyr\'
R-CatastRo0.4.0-lp156.1.1Interface to the API \'Sede Electronica Del Catastro\'
R-catch1.0.1-lp156.1.1Covariate-Adjusted Tensor Classification in High-Dimensions
R-catchr0.2.31-lp156.1.1Taking the Pain Out of Catching and Handling Conditions
R-catcont0.5.0-lp156.13.1Test, Identify, Select and Mutate Categorical or Continuous
R-catdap1.3.5-lp156.2.1Categorical Data Analysis Program Package
R-catdata1.2.4-lp156.1.1Categorical Data
R-CatDataAnalysis0.1.5-lp156.1.1Datasets for Categorical Data Analysis by Agresti
R-CatDyn1.1.1-lp156.7.1Fishery Stock Assessment by Catch Dynamics Models
R-CatEncoders0.1.1-lp156.2.1Encoders for Categorical Variables
R-CateSelection1.0-lp156.2.1Categorical Variable Selection Methods
R-catIrt0.5.1-lp156.1.1Simulate IRT-Based Computerized Adaptive Tests
R-catmap1.6.4-lp156.6.1Case-control And Tdt Meta-Analysis Package
R-catnet1.16.1-lp156.1.1Categorical Bayesian Network Inference
R-catR3.17-lp156.1.1Generation of IRT Response Patterns under Computerized Adapt
R-catseyes0.2.5-lp156.2.1Create Catseye Plots Illustrating the Normal Distribution of
R-catspec0.97-lp156.2.1Special models for categorical variables
R-catSplit0.1.0-lp156.4.1Encode Categorical Variables with Split Information from CAR
R-CATT2.0-lp156.2.1The Cochran-Armitage Trend Test
R-CATTexact0.1.1-lp156.2.1Computation of the p-Value for the Exact Conditional Cochran
R-CauchyCP0.1.1-lp156.1.1Powerful Test for Survival Data under Non-Proportional Hazar
R-causalCmprsk2.0.0-lp156.1.1Nonparametric and Cox-Based Estimation of Average Treatment
R-causaldata0.1.3-lp156.6.1Example Data Sets for Causal Inference Textbooks
R-causaldrf0.4.2-lp156.4.1Estimating Causal Dose Response Functions
R-causaleffect1.3.15-lp156.5.1Deriving Expressions of Joint Interventional Distributions a
R-CausalGAM0.1.4-lp156.2.1Estimation of Causal Effects with Generalized Additive Model
R-CausalModels0.1.0-lp156.4.1Causal Inference Modeling for Estimation of Causal Effects
R-causalsens0.1.3-lp156.2.1Selection Bias Approach to Sensitivity Analysis for Causal E
R-CausCor0.1.3-lp156.1.1Calculate Correlations and Estimate Causality
R-cban1.0-lp156.2.1Cost Benefit Analysis
R-cbanalysis0.2.0-lp156.2.1Coffee Break Descriptive Analysis
R-cbass0.1-lp156.1.1Classification -- Bayesian Adaptive Smoothing Splines
R-CBCgrps2.8.2-lp156.1.1Compare Baseline Characteristics Between Groups
R-cbioportalR1.1.0-lp156.2.1Browse and Query Clinical and Genomic Data from cBioPortal
R-CBnetworkMA0.1.0-lp156.2.1Contrast-Based Bayesian Network Meta Analysis
R-cbsem1.0.0-lp156.2.1Simulation, Estimation and Segmentation of Composite Based S
R-cbsodataR1.0.1-lp156.1.1Statistics Netherlands (CBS) Open Data API Client
R-CBT1.0-lp156.2.1Confidence Bound Target Algorithm
R-CC1.0-lp156.2.1Control Charts
R-CCA1.2.2-lp156.2.1Canonical Correlation Analysis
R-ccafs0.3.0-lp156.1.1Client for \'CCAFS\' \'GCM\' Data
R-cccd1.6-lp156.6.1Class Cover Catch Digraphs
R-ccChooser0.2.6-lp156.2.1Developing a core collections
R-cccm0.1.0-lp156.5.1Crossed Classification Credibility Model
R-ccda1.1.1-lp156.2.1Combined Cluster and Discriminant Analysis
R-cchs0.4.4-lp156.1.1Cox Model for Case-Cohort Data with Stratified Subcohort-Sel
R-cchsflow2.1.0-lp156.8.1Transforming and Harmonizing CCHS Variables
R-ccid1.2.0-lp156.2.1Cross-Covariance Isolate Detect: a New Change-Point Method f
R-cclust0.6.26-lp156.1.1Convex Clustering Methods and Clustering Indexes
R-CCM1.2-lp156.2.1Correlation Classification Method
R-ccmEstimator1.0.0-lp156.1.1Comparative Causal Mediation Estimation
R-ccmm1.0-lp156.2.1Compositional Mediation Model
R-ccoptimalmatch0.1.0-lp156.8.1Implementation of Case-Control Optimal Matching
R-CCP1.2-lp156.1.1Significance Tests for Canonical Correlation Analysis (CCA)
R-CCpop1.0-lp156.2.1One and two locus GWAS of binary phenotype with case-control
R-ccRemover1.0.4-lp156.2.1Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencin
R-ccrs0.1.0-lp156.11.1Correct and Cluster Response Style Biased Data
R-ccss1.0-lp156.2.1Cluster Circular Systematic Sampling
R-ccTensor1.0.2-lp156.13.1CUR/CX Tensor Decomposition
R-cd0.1.0-lp156.2.1CD Data for Entity Resolution
R-cdata1.2.1-lp156.1.1Fluid Data Transformations
R-cdb0.0.1-lp156.2.1Reading and Writing Constant DataBases
R-cdcatR1.0.6-lp156.11.1Cognitive Diagnostic Computerized Adaptive Testing
R-cdcfluview0.9.4-lp156.9.1Retrieve Flu Season Data from the United States Centers for
R-CDCPLACES1.1.5-lp156.2.1Access the \'CDC PLACES\' API
R-cder0.3.1-lp156.3.1Interface to the California Data Exchange Center (CDEC)
R-cdfquantreg1.3.1.2-lp156.1.1Quantile Regression for Random Variables on the Unit Interva
R-CDFt1.2-lp156.1.1Downscaling and Bias Correction via Non-Parametric CDF-Trans
R-CDGHMM0.1.0-lp156.2.1Hidden Markov Models for Multivariate Panel Data
R-CDLasso1.1-lp156.2.1Coordinate Descent Algorithms for Lasso Penalized L1, L2, an
R-cdlei1.0-lp156.2.1Cause-Deleted Life Expectancy Improvement Procedure
R-cdlTools1.13-lp156.2.1Tools to Download and Work with USDA Cropscape Data
R-cdmTools1.0.3-lp156.4.1Useful Tools for Cognitive Diagnosis Modeling
R-CDNmoney2012.4.2-lp156.2.1Components of Canadian Monetary and Credit Aggregates
R-cdom0.1.0-lp156.18.1R Functions to Model CDOM Spectra
R-CDROM1.1-lp156.2.1Phylogenetically Classifies Retention Mechanisms of Duplicat
R-cds1.0.3-lp156.2.1Constrained Dual Scaling for Detecting Response Styles
R-CDSE0.2.0-lp156.2.1\'Copernicus Data Space Ecosystem\' API Wrapper
R-CDSS0.2.0-lp156.2.1Course-Dependent Skill Structures
R-CDVI0.1.0-lp156.2.1Cuddy-Della Valle Index for Capturing the Instability in Tim
R-CDVineCopulaConditional0.1.1-lp156.2.1Sampling from Conditional C- and D-Vine Copulas
R-ceas1.0.0-lp156.2.1Cellular Energetics Analysis Software
R-CEEMDANML0.1.0-lp156.2.1CEEMDAN Decomposition Based Hybrid Machine Learning Models
R-celestial1.4.6-lp156.2.1Collection of Common Astronomical Conversion Routines and Fu
R-cellOrigins0.1.3-lp156.3.1Finds RNASeq Source Tissues Using In Situ Hybridisation Data
R-cellpypes0.3.0-lp156.1.1Cell Type Pipes for Single-Cell RNA Sequencing Data
R-cellranger1.1.0-lp156.11.1Translate Spreadsheet Cell Ranges to Rows and Columns
R-cellVolumeDist1.4-lp156.1.1Functions to Fit Cell Volume Distributions and Thereby Estim
R-cem1.1.31-lp156.3.1Coarsened Exact Matching
R-cemco0.2-lp156.1.1Fit \'CemCO\' Algorithm
R-cencrne1.0.0-lp156.1.1Consistent Estimation of the Number of Communities via Regul
R-cenGAM0.5.3-lp156.2.1Censored Regression with Smooth Terms
R-censCov1.0.0-lp156.2.1Linear Regression with a Randomly Censored Covariate
R-censNID0.0.1-lp156.2.1censored NID samples
R-censo20170.6.2-lp156.1.1Base de Datos de Facil Acceso del Censo 2017 de Chile (2017
R-censorcopula2.0-lp156.2.1Estimate Parameter of Bivariate Copula
R-censReg0.5.38-lp156.2.1Censored Regression (Tobit) Models
R-CensRegMod1.0-lp156.2.1Fits Normal and Student-t Censored Regression Model
R-Census20160.2.0-lp156.2.1Data from the Australian Census 2016
R-censusapi0.8.0-lp156.1.1Retrieve Data from the Census APIs
R-censusGeography0.1.0-lp156.4.1Changes United States Census Geographic Code into Name of Lo
R-censusr0.0.4-lp156.17.1Collect Data from the Census API
R-censusxy1.1.1-lp156.2.1Access the U.S. Census Bureau\'s Geocoding API System
R-censys0.1.0-lp156.6.1Tools to Query the \'Censys\' API
R-centiserve1.0.0-lp156.7.1Find Graph Centrality Indices
R-centralplot0.1.0-lp156.14.1Show the Strength of Relationships Between Centre and Periph
R-centrifugeR0.1.7-lp156.5.1Non-Trivial Balance of Centrifuge Rotors
R-cents0.1.41-lp156.1.1Censored time series
R-CEOdata1.3.1.1-lp156.2.1Datasets of the CEO (Centre d\'Estudis d\'Opinio) for Opinio
R-cepiigeodist0.1-lp156.2.1CEPII\'s GeoDist Datasets
R-CepLDA1.0.0-lp156.2.1Discriminant Analysis of Time Series in the Presence of With
R-cepp1.7-lp156.2.1Context Driven Exploratory Projection Pursuit
R-cepR0.1.2-lp156.15.1Busca CEPs Brasileiros
R-cepreader1.2.2-lp156.1.1Read \'CEP\' and Legacy \'CANOCO\' Files
R-cepumd2.1.0-lp156.2.1Calculate Consumer Expenditure Survey (CE) Annual Estimates
R-cequre1.5-lp156.1.1Censored Quantile Regression & Monotonicity-Respecting Resto
R-ceramic0.9.5-lp156.3.1Download Online Imagery Tiles
R-cereal0.1.0-lp156.1.1Serialize \'vctrs\' Objects to \'JSON\'
R-CeRNASeek2.1.3-lp156.7.1Identification and Analysis of ceRNA Regulation
R-cernn0.1-lp156.2.1Covariance Estimation Regularized by Nuclear Norm Penalties
R-ceRtainty1.0.0-lp156.15.1Certainty Equivalent
R-Certara.NLME81.2.4-lp156.4.1Utilities for Certara\'s Nonlinear Mixed-Effects Modeling En
R-ceser1.0.0-lp156.14.1Cluster Estimated Standard Errors
R-cesR0.1.0-lp156.10.1Access the Canadian Election Study Datasets
R-cetcolor0.2.0-lp156.2.1CET Perceptually Uniform Colour Maps
R-cfa0.10.1-lp156.2.1Configural Frequency Analysis (CFA)
R-cfbfastR1.9.0-lp156.10.1Access College Football Play by Play Data
R-cfdecomp0.4.0-lp156.1.1Counterfactual Decomposition: MC Integration of the G-Formul
R-CfEstimateQuantiles1.0-lp156.2.1Estimate quantiles using any order Cornish-Fisher expansion
R-CFF1.0-lp156.2.1Simple Similarity for User-Based Collaborative Filtering Sys
R-cffdrs1.9.0-lp156.1.1Canadian Forest Fire Danger Rating System
R-cfid0.1.7-lp156.1.1Identification of Counterfactual Queries in Causal Models
R-cfma1.0-lp156.2.1Causal Functional Mediation Analysis
R-cfmortality0.3.0-lp156.2.1Cystic Fibrosis Survival Prediction Model Based on Stanojevi
R-cforward0.1.0-lp156.9.1Forward Selection using Concordance/C-Index
R-cgal4h0.1.0-lp156.3.1\'CGAL\' Version 4 C++ Header Files
R-cgal4h-devel0.1.0-lp156.3.1Development files for cgal4h
R-cgdsr1.3.0-lp156.3.1R-Based API for Accessing the MSKCC Cancer Genomics Data Ser
R-CGE0.3.3-lp156.2.1Computing General Equilibrium
R-cglasso2.0.7-lp156.2.1Conditional Graphical LASSO for Gaussian Graphical Models wi
R-cgmanalysis2.7.7-lp156.1.1Clean and Analyze Continuous Glucose Monitor Data
R-CGManalyzer1.3.1-lp156.1.1Continuous Glucose Monitoring Data Analyzer
R-CGNM0.9.0-lp156.1.1Cluster Gauss-Newton Method
R-CGP2.1.1-lp156.2.1Composite Gaussian Process Models
R-CGR0.1.0-lp156.2.1Compound Growth Rate for Capturing the Growth Rate Over the
R-cgraph6.0.1-lp156.2.1Computational Graphs
R-cgrcusum0.1.0-lp156.7.1Continuous Time Generalized Rapid Response CUSUM
R-cgwtools4.1-lp156.1.1Miscellaneous tools
R-ch0.1.0.2-lp156.6.1About some Small Functions
R-chainbinomial0.1.5-lp156.2.1Chain Binomial Models for Analysis of Infectious Disease Dat
R-chandwich1.1.6-lp156.1.1Chandler-Bate Sandwich Loglikelihood Adjustment
R-changepoint2.2.4-lp156.1.1Methods for Changepoint Detection
R-changepoint.geo1.0.2-lp156.1.1Geometrically Inspired Multivariate Changepoint Detection
R-changepoint.influence1.0.2-lp156.1.1Package to Calculate the Influence of the Data on a Changepo
R-changepoint.np1.0.5-lp156.1.1Methods for Nonparametric Changepoint Detection
R-changepointsVar0.1.1-lp156.1.1Change-Points Detections for Changes in Variance
R-ChangepointTesting1.1-lp156.1.1Change Point Estimation for Clustered Signals
R-changepointTests0.1.5-lp156.1.1Change Point Tests for Joint Distributions and Copulas
R-changeS1.0.1-lp156.2.1S-Curve Fit for Changepoint Analysis
R-ChannelAttributionApp1.3-lp156.20.1Shiny Web Application for the Multichannel Attribution Probl
R-Chaos011.2.1-lp156.2.10-1 Test for Chaos
R-ChargeTransport1.0.2-lp156.2.1Charge Transfer Rates and Charge Carrier Mobilities
R-charlatan0.5.1-lp156.1.1Make Fake Data
R-chartql0.1.0-lp156.15.1Simplified Language for Plots and Charts
R-chatgpt0.2.3-lp156.4.1Interface to \'ChatGPT\' from R
R-CHCN1.5-lp156.3.1Canadian Historical Climate Network
R-cheatsheet0.1.2-lp156.1.1Download R Cheat Sheets Locally
R-cheb0.3-lp156.2.1Discrete Linear Chebyshev Approximation
R-checkarg0.1.0-lp156.2.1Check the Basic Validity of a (Function) Argument
R-CheckDigit1.0.0-lp156.1.1Calculate and Verify Check Digits
R-checkdown0.0.12-lp156.4.1Check-Fields and Check-Boxes for \'rmarkdown\'
R-checker0.1.3-lp156.1.1Checks \'R\' Configuration Set Up Correctly Before Class
R-checkglobals0.1.0-lp156.1.1Static Analysis of R-Code Dependencies
R-checkLuhn1.1.0-lp156.16.1Checks if a Number is Valid Using the Luhn Algorithm
R-checkpoint1.0.2-lp156.7.1Install Packages from Snapshots on the Checkpoint Server for
R-checkr0.5.0-lp156.2.1Check the Properties of Common R Objects
R-chem.databases1.0.0-lp156.1.1Collection of 3 Chemical Databases from Public Sources
R-chemCal0.2.3-lp156.1.1Calibration functions for analytical chemistry
R-chemometrics1.4.4-lp156.1.1Multivariate Statistical Analysis in Chemometrics
R-ChernoffDist0.1.0-lp156.1.1Chernoff\'s Distribution
R-cherry0.6.14-lp156.2.1Multiple Testing Methods for Exploratory Research
R-cherryblossom0.1.0-lp156.2.1Cherry Blossom Run Race Results
R-chess1.0.1-lp156.11.1Read, Write, Create and Explore Chess Games
R-chessR1.5.2-lp156.1.1Functions to Extract, Clean and Analyse Online Chess Game Da
R-chest0.3.7-lp156.3.1Change-in-Estimate Approach to Assess Confounding Effects
R-CHFF0.1.0-lp156.2.1Closest History Flow Field Forecasting for Bivariate Time Se
R-chi0.1-lp156.2.1The Chi Distribution
R-chi2x3way1.1-lp156.2.1Partitioning Chi-Squared and Tau Index for Three-Way Conting
R-childdevdata1.1.0-lp156.1.1Child Development Data
R-childhoodmortality0.3.0-lp156.9.1Calculating Childhood Mortality Rates
R-childsds0.8.0-lp156.10.1Data and Methods Around Reference Values in Pediatrics
R-ChillModels1.0.2-lp156.2.1Processing Chill and Heat Models for Temperate Fruit Trees
R-chinese.misc0.2.3-lp156.7.1Miscellaneous Tools for Chinese Text Mining and More
R-ChIPtest1.0-lp156.2.1Nonparametric Methods for Identifying Differential Enrichmen
R-chirps0.1.4-lp156.3.1API Client for CHIRPS and CHIRTS
R-chisq.posthoc.test0.1.2-lp156.2.1A Post Hoc Analysis for Pearson\'s Chi-Squared Test for Coun
R-chisquare0.3-lp156.6.1Chi-Square and G-Square Test of Independence, Residual Analy
R-chlorpromazineR0.2.0-lp156.1.1Convert Antipsychotic Doses to Chlorpromazine Equivalents
R-CHMM0.1.1-lp156.2.1Coupled Hidden Markov Models
R-CHNCapitalStock0.1.1-lp156.1.1Compute Chinese Capital Stocks
R-CHNOSZ2.1.0-lp156.1.1Thermodynamic Calculations and Diagrams for Geochemistry
R-choiceDes0.9.3-lp156.2.1Design Functions for Choice Studies
R-CHOIRBM0.0.2-lp156.11.1Plots the CHOIR Body Map
R-choplump1.1.2-lp156.1.1Permutation Test for Some Positive and Many Zero Responses
R-chords0.95.4-lp156.2.1Estimation in Respondent Driven Samples
R-choroplethrAdmin11.1.1-lp156.14.1Contains an Administrative-Level-1 Map of the World
R-choroplethrMaps1.0.1-lp156.2.1Contains Maps Used by the \'choroplethr\' Package
R-chorrrds0.1.9.5-lp156.9.1Music Chords Extraction
R-christmas1.3.0-lp156.1.1Generation of Different Animated Christmas Cards
R-chromatographR0.4.4-lp156.2.1Chromatographic Data Analysis Toolset
R-chromConverter0.2.1-lp156.7.1Chromatographic File Converter
R-chromer0.8-lp156.2.1Interface to Chromosome Counts Database API
R-chromseq0.1.3-lp156.2.1Split Chromosome \'Fasta\' File
R-chron2.3.61-lp156.1.1Chronological objects which can handle dates and times
R-chronicler0.2.2-lp156.2.1Add Logging to Functions
R-chronochrt0.1.3-lp156.1.1Creating Chronological Charts
R-chronosphere0.6.1-lp156.1.1Evolving Earth System Variables
R-CHsharp0.4-lp156.2.1Choi and Hall Style Data Sharpening
R-chunked0.6.0-lp156.6.1Chunkwise Text-File Processing for \'dplyr\'
R-chyper0.3.1-lp156.1.1Functions for Conditional Hypergeometric Distributions
R-CIAAWconsensus1.3-lp156.7.1Isotope Ratio Meta-Analysis
R-ciCalibrate0.42.2-lp156.1.1Calibration of Confidence Intervals to Support Intervals
R-cicerone1.0.4-lp156.12.1Provide Tours of \'Shiny\' Applications
R-CIEE0.1.1-lp156.2.1Estimating and Testing Direct Effects in Directed Acyclic Gr
R-cif0.1.1-lp156.4.1Cointegrated ICU Forecasting
R-CIFsmry1.0.1.1-lp156.2.1Weighted summary of cumulative incidence functions
R-cifti0.4.5-lp156.4.1Toolbox for Connectivity Informatics Technology Initiative (
R-CIM1.0.0-lp156.2.1Compositional Impact of Migration
R-cimir0.4.1-lp156.13.1Interface to the CIMIS Web API
R-cin0.1-lp156.2.1Causal Inference for Neuroscience
R-cinaRgenesets0.1.1-lp156.1.1Ready-to-Use Curated Gene Sets for \'cinaR\'
R-CINE0.1.3-lp156.7.1Classification International Normalized of Education
R-CINID1.3.0-lp156.2.1Curculionidae INstar IDentification
R-CINmetrics0.1.0-lp156.1.1Calculate Chromosomal Instability Metrics
R-CIPerm0.2.3-lp156.1.1Computationally-Efficient Confidence Intervals for Mean Shif
R-cipheR1.0.0-lp156.1.1Encryption and Decryption with Text Ciphers
R-CIplot1.0-lp156.2.1Functions to Plot Confidence Interval
R-cir2.3.1-lp156.1.1Centered Isotonic Regression and Dose-Response Utilities
R-circacompare0.2.0-lp156.1.1Analyses of Circadian Data
R-CirclesIntersections1.1-lp156.1.1Algorithm for Computation of the Intersection Areas of N Cir
R-circlesplot1.1.0-lp156.1.1Visualize Proportions with Circles in a Plot
R-circletyper1.0.2-lp156.7.1Curve Text Elements in \'Shiny\' Using \'CircleType.js\'
R-circlize0.4.16-lp156.1.1Circular Visualization
R-CircMLE0.3.0-lp156.4.1Maximum Likelihood Analysis of Circular Data
R-CircNNTSR2.3-lp156.1.1Statistical Analysis of Circular Data using Nonnegative Trig
R-CircOutlier3.2.3-lp156.2.1Detection of Outliers in Circular-Circular Regression
R-CircStats0.2.6-lp156.2.1Circular Statistics, from \"Topics in circular Statistics\"
R-CIS.DGLM0.1.0-lp156.7.1Covariates, Interaction, and Selection for DGLM
R-CITAN2022.1.1-lp156.7.1CITation ANalysis Toolpack
R-citation0.8.2-lp156.2.1Software Citation Tools
R-citbcmst1.0.4-lp156.2.1CIT Breast Cancer Molecular SubTypes Prediction
R-citccmst1.0.2-lp156.2.1CIT Colon Cancer Molecular SubTypes Prediction
R-citecorp0.3.0-lp156.3.1Client for the Open Citations Corpus
R-CityPlot2.0-lp156.2.1Visualization of structure and contents of a database
R-CityWaterBalance0.1.0-lp156.10.1Track Flows of Water Through an Urban System
R-ciu0.6.0-lp156.2.1Contextual Importance and Utility
R-ciuupi1.2.3-lp156.1.1Confidence Intervals Utilizing Uncertain Prior Information
R-ciuupi21.0.1-lp156.10.1Kabaila and Giri (2009) Confidence Interval
R-civis3.1.2-lp156.1.1R Client for the \'Civis Platform API\'
R-ciw0.0.2-lp156.2.1Watch the CRAN Incoming Directories
R-CJAMP0.1.1-lp156.7.1Copula-Based Joint Analysis of Multiple Phenotypes
R-cjar0.1.2-lp156.11.1R Client for \'Customer Journey Analytics\' (\'CJA\') API
R-ckanr0.7.0-lp156.2.1Client for the Comprehensive Knowledge Archive Network (\'CK
R-CKAT0.1.0-lp156.2.1Composite Kernel Association Test for Pharmacogenetics Studi
R-clampSeg1.1.1-lp156.2.1Idealisation of Patch Clamp Recordings
R-ClamR2.1.3-lp156.1.1Time Series Modeling for Climate Change Proxies
R-clarifai0.4.2-lp156.2.1Access to Clarifai API
R-clarkeTest0.2.0-lp156.2.1Distribution-Free Tests of Non-Nested Models
R-class7.3.22-lp156.1.1Functions for Classification
R-classifly0.4.1-lp156.2.1Explore Classification Models in High Dimensions
R-classInt0.4.10-lp156.1.1Choose Univariate Class Intervals
R-classmap1.2.3-lp156.2.1Visualizing Classification Results
R-classyfireR0.3.8-lp156.1.1R Interface to the \'ClassyFire\' REST API
R-CLAST1.0.1-lp156.1.1Exact Confidence Limits after a Sequential Trial
R-clda0.1-lp156.2.1Convolution-Based Linear Discriminant Analysis
R-cleancall0.1.3-lp156.1.1C Resource Cleanup via Exit Handlers
R-cleandata0.3.0-lp156.2.1To Inspect and Manipulate Data; and to Keep Track of This Pr
R-cleanerR0.1.1-lp156.2.1How to Handle your Missing Data
R-cleanNLP3.1.0-lp156.2.1A Tidy Data Model for Natural Language Processing
R-cleanTS0.1.2-lp156.4.1Testbench for Univariate Time Series Cleaning
R-cleaR0.0.4-lp156.1.1Clean the R Console and Environment
R-cliapp0.1.2-lp156.2.1Create Rich Command Line Applications
R-ClickClust1.1.6-lp156.1.1Model-Based Clustering of Categorical Sequences
R-ClickClustCont0.1.7-lp156.2.1Mixtures of Continuous Time Markov Models
R-ClickHouseHTTP0.3.3-lp156.2.1A Simple HTTP Database Interface to \'ClickHouse\'
R-clickstream1.3.3-lp156.2.1Analyzes Clickstreams Based on Markov Chains
R-clidatajp0.5.2-lp156.2.1Data from Japan Meteorological Agency
R-cliff0.1.2-lp156.2.1Execute Command Line Programs Interactively
R-clifro3.2.5-lp156.11.1Easily Download and Visualise Climate Data from CliFlo
R-CliftLRD0.1.1-lp156.2.1Complex-Valued Wavelet Lifting Estimators of the Hurst Expon
R-clikcorr1.0-lp156.2.1Censoring Data and Likelihood-Based Correlation Estimation
R-climate1.0.4-lp156.1.1Interface to Download Meteorological (and Hydrological) Data
R-climateStability0.1.4-lp156.3.1Estimating Climate Stability from Climate Model Data
R-climatol4.1.0-lp156.2.1Climate Tools (Series Homogenization and Derived Products)
R-climatrends0.5-lp156.6.1Climate Variability Indices for Ecological Modelling
R-ClimClass2.1.0-lp156.16.1Climate Classification According to Several Indices
R-ClimDown1.0.8-lp156.1.1Climate Downscaling Library for Daily Climate Model Output
R-clime0.5.0-lp156.1.1Constrained L1-Minimization for Inverse (Covariance) Matrix
R-climenv1.0.0-lp156.2.1Download, Extract and Visualise Climate and Elevation Data
R-climetrics1.0.15-lp156.2.1Climate Change Metrics
R-climextRemes0.3.1-lp156.1.1Tools for Analyzing Climate Extremes
R-ClimInd0.1.3-lp156.10.1Climate Indices
R-ClimProjDiags0.3.3-lp156.1.1Set of Tools to Compute Various Climate Indices
R-clinfun1.1.5-lp156.1.1Clinical Trial Design and Data Analysis Functions
R-clinmon0.6.0-lp156.1.1Hemodynamic Calculations from Clinical Monitoring
R-clinPK0.13.0-lp156.1.1Clinical Pharmacokinetics Toolkit
R-clinsig1.2-lp156.2.1Clinical Significance Functions
R-clinspacy1.0.2-lp156.6.1Clinical Natural Language Processing using \'spaCy\', \'scis
R-clinUtiDNA1.0-lp156.2.1Clinical Utility of DNA Testing
R-cliot0.2.0-lp156.2.1Clinical Indices and Outcomes Tools
R-clipp1.1.1-lp156.1.1Calculating Likelihoods by Pedigree Paring
R-clipr0.8.0-lp156.1.1Read and Write from the System Clipboard
R-clisymbols1.2.0-lp156.2.1Unicode Symbols at the R Prompt
R-clockify0.1.6-lp156.1.1A Wrapper for the \'Clockify\' API
R-clogitLasso1.1-lp156.2.1Sparse Conditional Logistic Regression for Matched Studies
R-clordr1.7.0-lp156.1.1Composite Likelihood Inference and Diagnostics for Replicate
R-cloudfs0.1.3-lp156.2.1Streamlined Interface to Interact with Cloud Storage Platfor
R-cloudml0.6.1-lp156.11.1Interface to the Google Cloud Machine Learning Platform
R-cloudos0.4.0-lp156.2.1R Client Library for CloudOS
R-cloudUtil0.1.12-lp156.2.1Cloud Utilization Plots
R-clpm1.0-lp156.1.1Constrained Estimation of Linear Probability Model
R-clr0.1.2-lp156.15.1Curve Linear Regression via Dimension Reduction
R-CLSIEP150.1.0-lp156.2.1Clinical and Laboratory Standards Institute (CLSI) EP15-A3 C
R-CLSOCP1.0-lp156.2.1A smoothing Newton method SOCP solver
R-clttools1.3-lp156.2.1Central Limit Theorem Experiments (Theoretical and Simulatio
R-clue0.3.65-lp156.1.1Cluster ensembles
R-ClueR1.4.2-lp156.1.1Cluster Evaluation
R-clugenr1.0.3-lp156.1.1Multidimensional Cluster Generation Using Support Lines
R-CluMP0.8.1-lp156.23.1Clustering of Micro Panel Data
R-ClussCluster0.1.0-lp156.15.1Simultaneous Detection of Clusters and Cluster-Specific Gene
R-clust.bin.pair0.1.2-lp156.2.1Statistical Methods for Analyzing Clustered Matched Pair Dat
R-cluster2.1.6-lp156.1.1\"Finding Groups in Data\": Cluster Analysis Extended Rousse
R-cluster.datasets1.0.1-lp156.2.1Cluster Analysis Data Sets
R-clusterability0.1.1.0-lp156.2.1Performs Tests for Cluster Tendency of a Data Set
R-ClusterBootstrap1.1.2-lp156.11.1Analyze Clustered Data with Generalized Linear Models using
R-clusterCons1.2-lp156.2.1Consensus Clustering using Multiple Algorithms and Parameter
R-clusterCrit1.3.0-lp156.1.1Clustering Indices
R-ClusteredMutations1.0.1-lp156.10.1Location and Visualization of Clustered Somatic Mutations
R-clusterGeneration1.3.8-lp156.1.1Random Cluster Generation (with Specified Degree of Separati
R-clusterGenomics1.0-lp156.2.1Identifying clusters in genomics data by recursive partition
R-clusterhap0.1-lp156.2.1Clustering Genotypes in Haplotypes
R-clustering.sc.dp1.1-lp156.1.1Optimal Distance-Based Clustering for Multidimensional Data
R-clusternomics0.1.1-lp156.3.1Integrative Clustering for Heterogeneous Biomedical Datasets
R-ClusterRankTest1.0-lp156.2.1Rank Tests for Clustered Data
R-clusterRepro0.9-lp156.2.1Reproducibility of gene expression clusters
R-clustertend1.7-lp156.1.1Check the Clustering Tendency
R-clustlearn1.0.0-lp156.1.1Learn Clustering Techniques Through Examples and Code
R-ClustOfVar1.1-lp156.2.1Clustering of Variables
R-clustra0.2.1-lp156.1.1Clustering Longitudinal Trajectories
R-clusTransition1.0-lp156.1.1Monitor Changes in Cluster Solutions of Dynamic Datasets
R-clustsig1.1-lp156.2.1Significant Cluster Analysis
R-clustvarsel2.3.4-lp156.2.1Variable Selection for Gaussian Model-Based Clustering
R-clv0.3.2.4-lp156.1.1Cluster Validation Techniques
R-clValid0.7-lp156.1.1Validation of Clustering Results
R-cmaes1.0.12-lp156.1.1Covariance Matrix Adapting Evolutionary Strategy
R-cmaesr1.0.3-lp156.17.1Covariance Matrix Adaptation Evolution Strategy
R-CMAPSS0.1.1-lp156.1.1Commercial Modular Aero-Propulsion System Simulation Data Se
R-CMapViz0.1.0-lp156.22.1Representation Tool For Output Of Connectivity Map (CMap) An
R-cmaRs0.1.3-lp156.2.1Implementation of the Conic Multivariate Adaptive Regression
R-cmbClust0.0.1-lp156.1.1Conditional Mixture Modeling and Model-Based Clustering
R-CMC1.0-lp156.2.1Cronbach-Mesbah Curve
R-cmce0.1.0-lp156.2.1Computer Model Calibration for Deterministic and Stochastic
R-cmfrec3.5.1.3-lp156.1.1Collective Matrix Factorization for Recommender Systems
R-CMFsurrogate1.0-lp156.1.1Calibrated Model Fusion Approach to Combine Surrogate Marker
R-cml0.2.2-lp156.1.1Conditional Manifold Learning
R-CMLS1.0.1-lp156.1.1Constrained Multivariate Least Squares
R-cmm1.0-lp156.1.1Categorical Marginal Models
R-cmmr0.1.2-lp156.8.1CEU Mass Mediator RESTful API
R-cmna1.0.5-lp156.1.1Computational Methods for Numerical Analysis
R-CMplot4.5.1-lp156.1.1Circle Manhattan Plot
R-cmprsk2.2.12-lp156.2.1Subdistribution Analysis of Competing Risks
R-cmpsR0.1.2-lp156.5.1R Implementation of Congruent Matching Profile Segments Meth
R-cmR1.1-lp156.3.1Analysis of Cardiac Magnetic Resonance Images
R-cmrutils1.3.1-lp156.2.1Misc Functions of the Center for Mathematical Research
R-cms0.1.0-lp156.14.1Calculate Medicare Reimbursement
R-cmsafops1.4.0-lp156.2.1Tools for CM SAF NetCDF Data
R-cmstatr0.9.3-lp156.2.1Statistical Methods for Composite Material Data
R-cmtest0.1.2-lp156.1.1Conditional Moments Test
R-cmvnorm1.0.7-lp156.1.1The Complex Multivariate Gaussian Distribution
R-cnbdistr1.0.1-lp156.2.1Conditional Negative Binomial Distribution
R-CNID1.3.1-lp156.1.1Get Basic Information from Chinese ID Number
R-CNLTreg0.1.2-lp156.2.1Complex-Valued Wavelet Lifting for Signal Denoising
R-CNLTtsa0.1.2-lp156.11.1Complex-Valued Wavelet Lifting for Univariate and Bivariate
R-cnmap0.1.0-lp156.2.1China Map Data from AutoNavi Map
R-CNOGpro1.1-lp156.6.1Copy Numbers of Genes in prokaryotes
R-CNprep2.2-lp156.1.1Pre-Process DNA Copy Number (CN) Data for Detection of CN Ev
R-CNPS1.0.0-lp156.1.1Nonparametric Statistics
R-cns0.1.0-lp156.1.1Color Naming System
R-coalescentMCMC0.4.4-lp156.8.1MCMC Algorithms for the Coalescent
R-coalitions0.6.24-lp156.7.1Bayesian \"Now-Cast\" Estimation of Event Probabilities in M
R-coat0.2.0-lp156.2.1Conditional Method Agreement Trees (COAT)
R-cobalt4.5.5-lp156.2.1Covariate Balance Tables and Plots
R-COBRA0.99.4-lp156.2.1Nonlinear Aggregation of Predictors
R-CoClust0.3.2-lp156.2.1Copula Based Cluster Analysis
R-COCONUT1.0.2-lp156.2.1COmbat CO-Normalization Using conTrols (COCONUT)
R-cocor1.1.4-lp156.1.1Comparing Correlations
R-cocosoR0.1.0-lp156.1.1CoCoSo - Combined Compromise Solution Method for MCDA
R-cocotest1.0.3-lp156.1.1Dependence Condition Test Using Ranked Correlation Coefficie
R-cocron1.0.1-lp156.2.1Statistical Comparisons of Two or more Alpha Coefficients
R-coda0.19.4.1-lp156.1.1Output analysis and diagnostics for MCMC
R-codacore0.0.4-lp156.6.1Learning Sparse Log-Ratios for Compositional Data
R-codadiags1.0-lp156.2.1Markov chain Monte Carlo burn-in based on \"bridge\" statist
R-CoDaImpact0.1.0-lp156.2.1Interpreting CoDa Regression Models
R-codalm0.1.2-lp156.2.1Transformation-Free Linear Regression for Compositional Outc
R-CodataGS1.43-lp156.2.1Genomic Prediction Using SNP Codata
R-cOde1.1.1-lp156.1.1Automated C Code Generation for \'deSolve\', \'bvpSolve\'
R-codeCollection0.1.3-lp156.2.1Collection of Codes with Labels
R-codecountR0.0.4.0-lp156.1.1Counting Codes in a Text and Preparing Data for Analysis
R-codemeta0.1.1-lp156.4.1A Smaller \'codemetar\' Package
R-codemetar0.3.5-lp156.8.1Generate \'CodeMeta\' Metadata for R Packages
R-codename0.5.0-lp156.1.1Generation of Code Names for Organizations, People, Projects
R-codep1.2.3-lp156.2.1Multiscale Codependence Analysis
R-coder0.13.10-lp156.1.1Deterministic Categorization of Items Based on External Code
R-codetools0.2.20-lp156.2.1Code Analysis Tools for R
R-codewhere0.1.1-lp156.1.1Find the Location of an R Package\'s Code
R-codexcopd0.1.0-lp156.2.1The CODEX (Comorbidity, Obstruction, Dyspnea, and Previous S
R-codingMatrices0.4.0-lp156.1.1Alternative Factor Coding Matrices for Linear Model Formulae
R-codyn2.0.5-lp156.2.1Community Dynamics Metrics
R-coefficientalpha0.7.2-lp156.1.1Robust Coefficient Alpha and Omega with Missing and Non-Norm
R-coenocliner0.2.3-lp156.1.1Coenocline Simulation
R-coenoflex2.2.0-lp156.2.1Gradient-Based Coenospace Vegetation Simulator
R-coexist1.0-lp156.2.1Species coexistence modeling and analysis
R-cofad0.1.1-lp156.2.1Contrast Analyses for Factorial Designs
R-cofeatureR1.1.1-lp156.16.1Generate Cofeature Matrices
R-cofid1.0.0-lp156.2.1Copepod Fish Interaction Database
R-CoFRA0.1002-lp156.6.1Complete Functional Regulation Analysis
R-cohortBuilder0.2.0-lp156.2.1Data Source Agnostic Filtering Tools
R-cohorts1.0.1-lp156.8.1Cohort Analysis Made Easy
R-CohortSymmetry0.1.0-lp156.1.1Sequence Symmetry Analysis Using the Observational Medical O
R-coil1.2.4-lp156.1.1Contextualization and Evaluation of COI-5P Barcode Data
R-coin1.4.3-lp156.1.1Conditional Inference Procedures in a Permutation Test Frame
R-coinmarketcapr0.4-lp156.5.1Get \'Cryptocurrencies\' Market Cap Prices from Coin Market
R-Coinprofile0.1.9-lp156.16.1Coincident Profile
R-COINr1.1.14-lp156.2.1Composite Indicator Construction and Analysis
R-cointmonitoR0.1.0-lp156.2.1Consistent Monitoring of Stationarity and Cointegrating Rela
R-cointReg0.2.0-lp156.2.1Parameter Estimation and Inference in a Cointegrating Regres
R-cold2.0.3-lp156.2.1Count Longitudinal Data
R-colf0.1.3-lp156.3.1Constrained Optimization on Linear Function
R-CollapseLevels0.3.0-lp156.16.1Collapses Levels, Computes Information Value and WoE
R-collateral0.5.2-lp156.4.1Quickly Evaluate Captured Side Effects
R-collatz1.0.0-lp156.1.1Functions Related to the Collatz/Syracuse/3n+1 Problem
R-collectArgs0.4.0-lp156.2.1Quickly and Neatly Collect Arguments from One Environment to
R-collections0.3.7-lp156.2.1High Performance Container Data Types
R-collidr0.1.3-lp156.16.1Check for Namespace Collisions Across Packages and Functions
R-collin0.0.4-lp156.1.1Visualization the Effects of Collinearity in Distributed Lag
R-collinear1.1.1-lp156.1.1Seamless Multicollinearity Management
R-CollocInfer1.0.4-lp156.17.1Collocation Inference for Dynamic Systems
R-colmozzie1.1.1-lp156.2.1Dengue Cases and Climate Variables in Colombo Sri Lanka
R-coloc5.2.3-lp156.1.1Colocalisation Tests of Two Genetic Traits
R-colocalization1.0.2-lp156.14.1Normalized Spatial Intensity Correlation
R-colocalized0.2.0-lp156.4.1Clusters of Colocalized Sequences
R-colorblindcheck1.0.2-lp156.1.1Check Color Palettes for Problems with Color Vision Deficien
R-colorBlindness0.1.9-lp156.6.1Safe Color Set for Color Blindness
R-colorDF0.1.7-lp156.3.1Colorful Data Frames in R Terminal
R-coloredICA1.0.0-lp156.2.1Implementation of Colored Independent Component Analysis and
R-colorfulVennPlot2.4-lp156.2.1Plot and add custom coloring to Venn diagrams for 2-dimensio
R-colorhcplot1.3.1-lp156.2.1Colorful Hierarchical Clustering Dendrograms
R-colorhex0.1.4-lp156.1.1Colors and Palettes from Color-Hex
R-colorist0.1.3-lp156.2.1Coloring Wildlife Distributions in Space-Time
R-colorizer0.1.0-lp156.11.1Colorize Old Images Using the \'DeOldify\' Image Colorizatio
R-ColorNameR0.1.0-lp156.8.1Give Colors a Name
R-ColorPalette1.0.1-lp156.2.1Color Palettes Generator
R-colorpatch0.1.2-lp156.13.1Optimized Rendering of Fold Changes and Confidence Values
R-colorplane0.5.0-lp156.1.1Basic S4 Classes and Methods for Mapping Between Numeric Val
R-colorr1.0.0-lp156.2.1Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams
R-colorRamp20.1.0-lp156.2.1Generate Color Mapping Functions
R-colorRamps2.3.4-lp156.2.1Builds color tables
R-colors3d1.0.1-lp156.2.1Generate 2D and 3D Color Palettes
R-colorsGen1.0.0-lp156.1.1Generation of Random Colors
R-colorSpec1.5.0-lp156.1.1Color Calculations with Emphasis on Spectral Data
R-colortools0.1.5-lp156.2.1Tools for colors in a Hue-Saturation-Value (HSV) color model
R-colouR0.1.1-lp156.1.1Create Colour Palettes from Images
R-colourlovers0.3.6-lp156.3.1R Client for the COLOURlovers API
R-colourvision2.0.4-lp156.1.1Colour Vision Models
R-COLP1.0.0-lp156.1.1Causal Discovery for Categorical Data with Label Permutation
R-colr0.1.900-lp156.2.1Functions to Select and Rename Data
R-cols4all0.7.1-lp156.2.1Colors for all
R-COMBAT0.0.4-lp156.2.1A Combined Association Test for Genes using Summary Statisti
R-combat.enigma1.0-lp156.1.1Fit and Apply ComBat Harmonization for ENIGMA
R-combinat0.0.8-lp156.2.1combinatorics utilities
R-combinationpvalues0.1.4-lp156.7.1Combination of Independent P-Values
R-combinatorics0.1.0-lp156.1.1Introduction to Some Combinatorial Relations
R-combinedevents0.1.1-lp156.9.1Calculate Scores and Marks for Track and Field Combined Even
R-CombinePortfolio0.4-lp156.2.1Estimation of Optimal Portfolio Weights by Combining Simple
R-CombinePValue1.0-lp156.2.1Combine a Vector of Correlated p-values
R-CombinS1.1.1-lp156.2.1Construction Methods of some Series of PBIB Designs
R-combiroc0.3.4-lp156.2.1Selection and Ranking of Omics Biomarkers Combinations Made
R-CombMSC1.4.2.1-lp156.2.1Combined Model Selection Criteria
R-comclim0.9.6-lp156.1.1Community Climate Statistics
R-cometExactTest0.1.5-lp156.13.1Exact Test from the Combinations of Mutually Exclusive Alter
R-cometr0.4.0-lp156.1.1\'Comet\' API for R
R-comf0.1.12-lp156.1.1Models and Equations for Human Comfort Research
R-comFuncs0.0.6-lp156.7.1Commonly Used Functions for R Shiny Applications
R-commandr1.0.1-lp156.2.1Command pattern in R
R-commentr1.0.4-lp156.6.1Print Nicely Formatted Comments for Use in Script Files
R-CommKern1.0.1-lp156.5.1Network-Based Communities and Kernel Machine Methods
R-common1.1.3-lp156.2.1Solutions for Common Problems in Base R
R-CommonJavaJars1.1.0-lp156.2.1Useful Libraries for Building a Java Based GUI under R
R-CommonMean.Copula1.0.4-lp156.1.1Common Mean Vector under Copula Models
R-commonsMath1.2.8-lp156.1.1JAR Files of the Apache Commons Mathematics Library
R-CommT0.1.1-lp156.8.1Comparative Phylogeographic Analysis using the Community Tre
R-CommunityCorrelogram1.0-lp156.2.1Ecological Community Correlogram
R-comorbidPGS0.3.4-lp156.2.1Assessing Predisposition Between Phenotypes using Polygenic
R-Comp2ROC1.1.4-lp156.3.1Compare Two ROC Curves that Intersect
R-compactr0.1-lp156.2.1Creates empty plots with compact axis notation
R-compare0.2.6-lp156.2.1Comparing Objects for Differences
R-compareC1.3.2-lp156.1.1Compare Two Correlated C Indices with Right-Censored Surviva
R-CompareCausalNetworks0.2.6.2-lp156.2.1Interface to Diverse Estimation Methods of Causal Networks
R-CompareMultipleModels0.1.0-lp156.2.1Finding the Best Model Using Eight Metrics Values
R-compareODM1.2-lp156.3.1comparison of medical forms in CDISC ODM format
R-comparer0.2.3-lp156.1.1Compare Output and Run Time
R-CompareTests1.2-lp156.2.1Correct for Verification Bias in Diagnostic Accuracy & Agree
R-comparison1.0.8-lp156.1.1Multivariate Likelihood Ratio Calculation and Evaluation
R-ComparisonCR1.0.4-lp156.2.1Comparison of Cumulative Incidence Between Two Groups Under
R-ComparisonSurv1.1.1-lp156.1.1Comparison of Survival Curves Between Two Groups
R-CompDist1.0-lp156.5.1Multisection Composite Distributions
R-comperes0.2.7-lp156.2.1Manage Competition Results
R-CompGR0.1.3-lp156.2.1Complete Annual Growth Rate Generator
R-compHclust1.0.3-lp156.2.1Complementary Hierarchical Clustering
R-compicc0.1.0-lp156.1.1Calculate the Confidence Interval for the Difference of ICCs
R-completejourney1.1.0-lp156.17.1Retail Shopping Data
R-complexity1.1.2-lp156.8.1Calculate the Proportion of Permutations in Line with an Inf
R-complexlm1.1.2-lp156.1.1Linear Fitting for Complex Valued Data
R-complexNet0.2.0-lp156.1.1Complex Network Generation
R-complexplus2.1-lp156.2.1Functions of Complex or Real Variable
R-complmrob0.7.0-lp156.14.1Robust Linear Regression with Compositional Data as Covariat
R-CompLognormal3.0-lp156.2.1Functions for actuarial scientists
R-CompModels0.3.0-lp156.1.1Pseudo Computer Models for Optimization
R-compositions2.0.8-lp156.1.1Compositional Data Analysis
R-CompoundEvents0.3.0-lp156.1.1Statistical Modeling of Compound Events
R-Compounding1.0.2-lp156.2.1Computing Continuous Distributions
R-CompPareto0.1.0-lp156.1.1Discrete Composite Distributions with Pareto Tails
R-CompQuadForm1.4.3-lp156.2.1Distribution function of quadratic forms in normal variables
R-CompR1.0-lp156.2.1Paired Comparison Data Analysis
R-CompRandFld1.0.3.6-lp156.3.1Composite-Likelihood Based Analysis of Random Fields
R-comprehenr0.6.10-lp156.1.1List Comprehensions
R-compute.es0.2.5-lp156.2.1Compute Effect Sizes
R-ComRiskModel0.2.0-lp156.1.1Fitting of Complementary Risk Models
R-comsimitv0.1.5-lp156.1.1Flexible Framework for Simulating Community Assembly
R-con2aqi0.1.0-lp156.2.1Calculate the AQI from Pollutant Concentration
R-con2lki0.1.0-lp156.1.1Calculate the Dutch Air Quality Index (LKI)
R-Conake1.0.1-lp156.1.1Continuous Associated Kernel Estimation
R-concatenate1.0.0-lp156.2.1Human-Friendly Text from Unknown Strings
R-concatipede1.0.1-lp156.3.1Easy Concatenation of Fasta Sequences
R-conclust1.1-lp156.2.1Pairwise Constraints Clustering
R-concor1.0.0.1-lp156.2.1Concordance
R-concordance2.0.0-lp156.17.1Product Concordance
R-ConcordanceTest1.0.3-lp156.1.1An Alternative to the Kruskal-Wallis Based on the Kendall Ta
R-concorR0.2.1-lp156.16.1CONCOR and Supplemental Functions
R-concreg0.7-lp156.2.1Concordance Regression
R-concstats0.1.6-lp156.1.1Market Structure, Concentration and Inequality Measures
R-CONCUR1.4-lp156.5.1Copy Number Profile Curve-Based Association Test
R-cond1.2.3.1-lp156.2.1Approximate Conditional Inference for Logistic and Loglinear
R-condensr1.0.0-lp156.1.1Academic Group Website Generator
R-condGEE0.2.0-lp156.1.1Parameter Estimation in Conditional GEE for Recurrent Event
R-conditionz0.1.0-lp156.3.1Control How Many Times Conditions are Thrown
R-condmixt1.1-lp156.2.1Conditional Density Estimation with Neural Network Condition
R-condMVNorm2020.1-lp156.2.1Conditional Multivariate Normal Distribution
R-CondMVT0.1.0-lp156.1.1Conditional Multivariate t Distribution, Expectation Maximiz
R-condorOptions1.0.1-lp156.3.1Trading Condor Options Strategies
R-CondReg0.20-lp156.2.1Condition Number Regularized Covariance Estimation
R-condTruncMVN0.0.2-lp156.2.1Conditional Truncated Multivariate Normal Distribution
R-conductor0.1.1-lp156.8.1Create Tours in \'Shiny\' Apps Using \'Shepherd.js\'
R-condusco0.1.0-lp156.18.1Query-Driven Pipeline Execution and Query Templates
R-condvis0.5.1-lp156.2.1Conditional Visualization for Statistical Models
R-condvis20.1.2-lp156.10.1Interactive Conditional Visualization for Supervised and Uns
R-conf.design2.0.0-lp156.2.1Construction of factorial designs
R-confcons0.3.1-lp156.2.1Confidence and Consistency of Predictive Distribution Models
R-config0.3.2-lp156.1.1Manage Environment Specific Configuration Values
R-ConfigParser1.0.0-lp156.3.1Package to Parse an INI File, Including Variable Interpolati
R-configr0.3.5-lp156.7.1An Implementation of Parsing and Writing Configuration File
R-configural0.1.5-lp156.2.1Multivariate Profile Analysis
R-confinterpret1.0.0-lp156.2.1Descriptive Interpretations of Confidence Intervals
R-confintr1.0.2-lp156.1.1Confidence Intervals
R-ConfIntVariance1.0.2-lp156.2.1Confidence Interval for the Univariate Population Variance w
R-conflicted1.2.0-lp156.1.1An Alternative Conflict Resolution Strategy
R-conformalClassification1.0.0-lp156.2.1Transductive and Inductive Conformal Predictions for Classif
R-conformalpvalue0.1.0-lp156.1.1Computes Conformal p-Values
R-ConfoundedMeta1.3.0-lp156.9.1Sensitivity Analyses for Unmeasured Confounding in Meta-Anal
R-confreq1.6.1.1-lp156.1.1Configural Frequencies Analysis Using Log-Linear Modeling
R-confSAM0.2-lp156.2.1Estimates and Bounds for the False Discovery Proportion, by
R-congress0.0.3-lp156.1.1Access the Congress.gov API
R-conicfit1.0.4-lp156.2.1Algorithms for Fitting Circles, Ellipses and Conics Based on
R-conics0.3-lp156.2.1Plot Conics
R-conjoint1.41-lp156.12.1An Implementation of Conjoint Analysis Method
R-ConjointChecks0.0.9-lp156.2.1A package to check the cancellation axioms of conjoint measu
R-conjurer1.7.1-lp156.1.1A Parametric Method for Generating Synthetic Data
R-connectoModa1.0.0-lp156.1.1Download Data from Moda
R-ConnMatTools0.3.5-lp156.2.1Tools for Working with Connectivity Data
R-conover.test1.1.6-lp156.2.1Conover-Iman Test of Multiple Comparisons Using Rank Sums
R-ConR1.3.0-lp156.1.1Computation of Parameters Used in Preliminary Assessment of
R-consolechoice1.1.1-lp156.1.1An Easy and Quick Way to Loop a Character Vector as a Menu i
R-consort1.2.2-lp156.1.1Create Consort Diagram
R-constants1.0.1-lp156.1.1Reference on Constants, Units and Uncertainty
R-constellation0.2.0-lp156.2.1Identify Event Sequences Using Time Series Joins
R-contact1.2.8-lp156.4.1Creating Contact and Social Networks
R-contactdata1.0.0-lp156.1.1Social Contact Matrices for 177 Countries
R-container1.0.4-lp156.2.1Extending Base \'R\' Lists
R-ContaminatedMixt1.3.8-lp156.2.1Clustering and Classification with the Contaminated Normal
R-contentid0.0.18-lp156.1.1An Interface for Content-Based Identifiers
R-conText1.1.0-lp156.3.1\'a la Carte\' on Text (ConText) Embedding Regression
R-contextual0.9.8.4-lp156.3.1Simulation and Analysis of Contextual Multi-Armed Bandit Pol
R-contfrac1.1.12-lp156.2.1Continued fractions
R-conting1.7-lp156.2.1Bayesian Analysis of Contingency Tables
R-contingency0.0.10-lp156.1.1Discrete Multivariate Probability Distributions
R-ContourFunctions0.1.1-lp156.2.1Create Contour Plots from Data or a Function
R-conTree0.3.1-lp156.1.1Contrast Trees and Boosting
R-ContRespPP0.4.2-lp156.1.1Predictive Probability for a Continuous Response with an ANO
R-contribution0.2.2-lp156.9.1A Tiny Contribution Table Generator Based on \'ggplot2\'
R-control0.2.5-lp156.2.1A Control Systems Toolbox
R-controlTest1.1.0-lp156.2.1Quantile Comparison for Two-Sample Right-Censored Survival D
R-contTimeCausal1.1-lp156.5.1Continuous Time Causal Models
R-ConvergenceClubs2.2.5-lp156.1.1Finding Convergence Clubs
R-convertbonds0.1.0-lp156.1.1Use the Given Parameters to Calculate the European Option Va
R-convertGraph0.1-lp156.2.1Convert Graphical Files Format
R-convey1.0.0-lp156.3.1Income Concentration Analysis with Complex Survey Samples
R-Convolutioner0.1.0-lp156.1.1Convolution of Data
R-convoSPAT1.2.7-lp156.17.1Convolution-Based Nonstationary Spatial Modeling
R-cooccur1.3-lp156.13.1Probabilistic Species Co-Occurrence Analysis in R
R-CooccurrenceAffinity1.0-lp156.1.1Affinity in Co-Occurrence Data
R-cookiecutter0.1.0-lp156.2.1Generate Project Files from a Template
R-cookiemonster0.0.3-lp156.2.1Your Friendly Solution to Managing Browser Cookies
R-cookies0.2.3-lp156.5.1Use Browser Cookies with \'shiny\'
R-coop0.6.3-lp156.1.1Co-Operation: Fast Covariance, Correlation, and Cosine Simil
R-CoopGame0.2.2-lp156.2.1Important Concepts of Cooperative Game Theory
R-coopProductGame2.0-lp156.12.1Cooperative Aspects of Linear Production Programming Problem
R-cooptrees1.0-lp156.2.1Cooperative aspects of optimal trees in weighted graphs
R-CoordinateCleaner3.0.1-lp156.1.1Automated Cleaning of Occurrence Records from Biological Col
R-CooRTweet2.0.2-lp156.2.1Coordinated Networks Detection on Social Media
R-cope0.2.3-lp156.11.1Coverage Probability Excursion (CoPE) Sets
R-copent0.5-lp156.1.1Estimating Copula Entropy and Transfer Entropy
R-coppeCosenzaR0.1.3-lp156.2.1COPPE-Cosenza Fuzzy Hierarchy Model
R-coprimary1.0-lp156.10.1Sample Size Calculation for Two Primary Time-to-Event Endpoi
R-Copula.Markov2.9-lp156.1.1Copula-Based Estimation and Statistical Process Control for
R-Copula.Markov.survival1.0.0-lp156.2.1Copula Markov Model with Dependent Censoring
R-Copula.surv1.6-lp156.1.1Analysis of Bivariate Survival Data Based on Copulas
R-copulaData0.0.2-lp156.2.1Data Sets for Copula Modeling
R-copulaedas1.4.3-lp156.3.1Estimation of Distribution Algorithms Based on Copulas
R-CopulaGAMM0.4.1-lp156.1.1Copula-Based Mixed Regression Models
R-copulaSim0.0.1-lp156.3.1Virtual Patient Simulation by Copula Invariance Property
R-CopyDetect1.3-lp156.4.1Computing Response Similarity Indices for Multiple-Choice Te
R-COR0.0.1-lp156.1.1The COR for Optimal Subset Selection in Distributed Estimati
R-cora0.1.0-lp156.2.1Cora Data for Entity Resolution
R-corazon0.1.0-lp156.8.1Apply \'colorffy\' Color Gradients Within \'shiny\' Elements
R-Corbi0.6.2-lp156.6.1Collection of Rudimentary Bioinformatics Tools
R-CorBin1.0.0-lp156.2.1Generate High-Dimensional Binary Data with Correlation Struc
R-corclass0.2.1-lp156.1.1Correlational Class Analysis
R-CorDiff1.0-lp156.2.1Set-Based Differential Covariance Testing for Genomics
R-CORE3.2-lp156.1.1Cores of Recurrent Events
R-coreCT1.3.3-lp156.8.1Programmatic Analysis of Sediment Cores Using Computed Tomog
R-coreSim0.2.4-lp156.13.1Core Functionality for Simulating Quantities of Interest fro
R-coreTDT1.0-lp156.2.1TDT for compound heterozygous and recessive models
R-corkscrew1.1-lp156.14.1Preprocessor for Data Modeling
R-corlink1.0.0-lp156.2.1Record Linkage, Incorporating Imputation for Missing Agreeme
R-coro1.0.4-lp156.2.1\'Coroutines\' for R
R-coroICA1.0.2-lp156.2.1Confounding Robust Independent Component Analysis for Noisy
R-corona0.3.0-lp156.18.1Coronavirus (\'Rona\') Data Exploration
R-CoronaNetR0.3.0-lp156.2.1API Access to \'CoronaNet\' Data
R-corpcor1.6.10-lp156.1.1Efficient Estimation of Covariance and (Partial) Correlation
R-corpora0.6-lp156.1.1Statistics and Data Sets for Corpus Frequency Data
R-CorporaCoCo2.0-lp156.1.1Corpora Co-Occurrence Comparison
R-CoRpower1.0.4-lp156.2.1Power Calculations for Assessing Correlates of Risk in Clini
R-corpus0.10.2-lp156.1.1Text Corpus Analysis
R-corr2D1.0.3-lp156.6.1Implementation of 2D Correlation Analysis in R
R-corrDNA1.0.1-lp156.2.1Finding Associations in Position-Wise Aligned DNA Sequence D
R-correctedAUC0.0.3-lp156.3.1Correcting AUC for Measurement Error
R-CorrectedFDR1.1-lp156.1.1Correcting False Discovery Rates
R-CorrectOverloadedPeaks1.3.3-lp156.1.1Correct Overloaded Peaks from GC-APCI-MS Data
R-correctR0.2.1-lp156.2.1Corrected Test Statistics for Comparing Machine Learning Mod
R-correlation0.8.5-lp156.1.1Methods for Correlation Analysis
R-Correlplot1.1.0-lp156.1.1A Collection of Functions for Graphing Correlation Matrices
R-correspondenceTables0.7.4-lp156.1.1Creating Correspondence Tables Between Two Statistical Class
R-corrgram1.14-lp156.1.1Plot a correlogram
R-corrmeta1.0.0-lp156.2.1Correlated Meta-Analysis
R-corrr0.4.4-lp156.7.1Correlations in R
R-corrsieve1.6.9-lp156.1.1Software for Summarising and Evaluating STRUCTURE Output
R-corset0.1.5-lp156.1.1Arbitrary Bounding of Series and Time Series Objects
R-corTESTsrd1.0.0-lp156.1.1Significance Testing of Rank Cross-Correlations under SRD
R-corTools1.0-lp156.2.1Tools for processing data after a Genome Wide Association St
R-COSINE2.1-lp156.2.1COndition SpecIfic sub-NEtwork
R-cosinor1.2.3-lp156.4.1Tools for Estimating and Predicting the Cosinor Model
R-cosmicsig1.1.1-lp156.1.1Mutational Signatures from COSMIC (Catalogue of Somatic Muta
R-cosmoFns1.1.1-lp156.1.1Functions for Cosmological Distances, Times, Luminosities, E
R-CoSMoS2.1.0-lp156.11.1Complete Stochastic Modelling Solution
R-COST0.1.0-lp156.2.1Copula-Based Semiparametric Models for Spatio-Temporal Data
R-costat2.4.1-lp156.1.1Time Series Costationarity Determination
R-costsensitive0.1.2.10-lp156.2.1Cost-Sensitive Multi-Class Classification
R-CosW0.1-lp156.2.1The CosW Distribution
R-cotrend1.0.2-lp156.2.1Consistent Co-Trending Rank Selection
R-couchDB1.4.1-lp156.4.1Connect to and Work with CouchDB Databases
R-COUNT1.3.4-lp156.2.1Functions, Data and Code for Count Data
R-countdata1.3-lp156.1.1The Beta-Binomial Test for Count Data
R-countDM0.1.0-lp156.1.1Estimation of Count Data Models
R-countdown0.4.0-lp156.6.1A Countdown Timer for HTML Presentations, Documents, and Web
R-counterfactuals0.1.4-lp156.2.1Counterfactual Explanations
R-Counternull0.2.12-lp156.2.1Randomization-Based Inference
R-countfitteR1.4-lp156.20.1Comprehensive Automatized Evaluation of Distribution Models
R-countgmifs0.0.2-lp156.2.1Discrete Response Regression for High-Dimensional Data
R-countHMM0.1.0-lp156.2.1Penalized Estimation of Flexible Hidden Markov Models for Ti
R-countland0.1.2-lp156.1.1Analysis of Biological Count Data, Especially from Single-Ce
R-countprop1.0.1-lp156.1.1Calculate Model-Based Metrics of Proportionality on Count-Ba
R-countrycode1.6.0-lp156.2.1Convert Country Names and Country Codes
R-CountsEPPM3.1-lp156.1.1Mean and Variance Modeling of Count Data
R-countts0.1.0-lp156.2.1Thomson Sampling for Zero-Inflated Count Outcomes
R-countyfloods0.1.0-lp156.12.1Quantify United States County-Level Flood Measurements
R-countytimezones1.0.0-lp156.9.1Convert from UTC to Local Time for United States Counties
R-countyweather0.1.0-lp156.5.1Compiles Meterological Data for U.S. Counties
R-covadap1.0.1-lp156.1.1Implement Covariate-Adaptive Randomization
R-covatest1.2.2-lp156.2.1Tests on Properties of Space-Time Covariance Functions
R-covBM0.1.0-lp156.2.1Brownian Motion Processes for \'nlme\'-Models
R-CovCombR1.0-lp156.2.1Combine Partial Covariance / Relationship Matrices
R-covequal0.1.0-lp156.2.1Test for Equality of Covariance Matrices
R-coveR21.0.0-lp156.2.1Process Digital Cover Photography Images of Tree Crowns
R-covfefe0.1.0-lp156.6.1Covfefy Any Word, Sentence or Speech
R-COVID193.0.3-lp156.1.1R Interface to COVID-19 Data Hub
R-covid19dbcand0.1.1-lp156.2.1Selected \'Drugbank\' Drugs for COVID-19 Treatment Related D
R-covid19france0.1.0-lp156.17.1Cases of COVID-19 in France
R-covid19mobility0.1.1-lp156.3.1Fetches Data on Covid-19 Mobility Trends from Different Sour
R-covid19nytimes0.1.3-lp156.3.1Pulls the Covid-19 Data from the New York Times Public Data
R-covid19srilanka1.1.0-lp156.1.1The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data in Sri
R-covid19us0.1.9-lp156.10.1Cases of COVID-19 in the United States
R-COVIDIBGE0.2.2-lp156.3.1Downloading, Reading and Analyzing PNAD COVID19 Microdata
R-covidnor2023.05.18-lp156.1.1Public COVID-19 Data for Norway
R-covidprobability0.1.0-lp156.1.1Estimate the Unit-Wide Probability of COVID-19
R-covidregionaldata0.9.3-lp156.3.1Subnational Data for COVID-19 Epidemiology
R-covidsymptom0.9.3-lp156.1.1COVID Symptom Study Sweden Open Dataset
R-covKCD0.1-lp156.1.1Covariance Estimation for Matrix Data with the Kronecker-Cor
R-covLCA1.0-lp156.11.1Latent Class Models with Covariate Effects on Underlying and
R-covr3.6.4-lp156.1.1Test Coverage for Packages
R-covreg1.0-lp156.2.1A simultaneous regression model for the mean and covariance
R-covRobust1.1.3-lp156.2.1Robust Covariance Estimation via Nearest Neighbor Cleaning
R-covsep1.1.0-lp156.2.1Tests for Determining if the Covariance Structure of 2-Dimen
R-cowplot1.1.3-lp156.1.1Streamlined Plot Theme and Plot Annotations for \'ggplot2\'
R-cowsay0.9.0-lp156.1.1Messages, Warnings, Strings with Ascii Animals
R-CoxBcv0.0.1.0-lp156.1.1Bias-Corrected Sandwich Variance Estimators for Marginal Cox
R-CoxBoost1.4-lp156.1.1Cox models by likelihood based boosting for a single surviva
R-coxerr1.1-lp156.1.1Cox Regression with Dependent Error in Covariates
R-CoxICPen1.1.0-lp156.1.1Variable Selection for Cox\'s Model with Interval-Censored D
R-coxinterval1.2-lp156.3.1Cox-Type Models for Interval-Censored Data
R-coxphf1.13.4-lp156.1.1Cox Regression with Firth\'s Penalized Likelihood
R-CoxPhLb1.2.0-lp156.2.1Analyzing Right-Censored Length-Biased Data
R-coxphMIC0.1.0-lp156.2.1Sparse Estimation of Cox Proportional Hazards Models via App
R-coxphSGD0.2.1-lp156.2.1Stochastic Gradient Descent log-Likelihood Estimation in Cox
R-coxphw4.0.3-lp156.1.1Weighted Estimation in Cox Regression
R-CoxR21.0-lp156.2.1R-Squared Measure Based on Partial LR Statistic, for the Cox
R-coxrobust1.0.1-lp156.2.1Fit Robustly Proportional Hazards Regression Model
R-coxsei0.3-lp156.2.1Fitting a CoxSEI Model
R-CP1.8-lp156.1.1Conditional Power Calculations
R-cpa1.0.1-lp156.1.1Confirmatory Path Analysis Through \'d-sep\' Tests
R-CPBayes1.1.0-lp156.5.1Bayesian Meta Analysis for Studying Cross-Phenotype Genetic
R-cpca0.1.2-lp156.2.1Methods to perform Common Principal Component Analysis (CPCA
R-cpcens0.1.0-lp156.2.1Changepoint Analysis using Censored Time Series Data
R-CpGFilter1.1-lp156.2.1CpG Filtering Method Based on Intra-Class Correlation Coeffi
R-cpk1.3.1-lp156.2.1Clinical Pharmacokinetics
R-cplots0.5.0-lp156.1.1Plots for Circular Data
R-cpm2.3-lp156.2.1Sequential and Batch Change Detection Using Parametric and N
R-CPMCGLM1.2-lp156.3.1Correction of the P-Value after Multiple Coding in Generaliz
R-CpmERCCutoff1.0.0-lp156.1.1Calculation of Log2 Counts per Million Cutoff from ERCC Cont
R-CPNCoverageAnalysis1.1.0-lp156.1.1Conceptual Properties Norming Studies as Parameter Estimatio
R-cppdoubles0.2.0-lp156.1.1Fast Relative Comparisons of Floating Point Numbers in \'C++
R-cprr0.2.0-lp156.2.1Functions for Working with Danish CPR Numbers
R-cPseudoMaRg1.0.1-lp156.1.1Constructs a Correlated Pseudo-Marginal Sampler
R-cpsR1.0.0-lp156.1.1Load CPS Microdata into R Using the \'Census Bureau Data\' A
R-CPsurv1.0.0-lp156.2.1Nonparametric Change Point Estimation for Survival Data
R-cpsvote0.1.0-lp156.15.1A Toolbox for Using the CPS’s Voting and Registration Supp
R-cptcity1.0.6-lp156.2.1\'cpt-city\' Colour Gradients
R-cptec0.1.1-lp156.1.1An Interface to the \'CPTEC/INPE\' API
R-cqcr0.1.2-lp156.16.1Access \'Care Quality Commission\' Data
R-cquad2.2-lp156.6.1Conditional Maximum Likelihood for Quadratic Exponential Mod
R-CR1.0-lp156.2.1Power Calculation for Weighted Log-Rank Tests in Cure Rate M
R-CRAC1.0-lp156.2.1Cosmology R Analysis Code
R-cragg0.0.1-lp156.1.1Tests for Weak Instruments in R
R-crank1.1.2-lp156.2.1Completing ranks
R-cranlike1.0.3-lp156.2.1Tools for \'CRAN\'-Like Repositories
R-cranlogs2.1.1-lp156.2.1Download Logs from the \'RStudio\' \'CRAN\' Mirror
R-crantastic0.1-lp156.2.1Various R tools for http://crantastic.org/
R-crassmat0.0.6-lp156.2.1Conditional Random Sampling Sparse Matrices
R-crayons0.0.3-lp156.2.1Color Palettes from Crayon Boxes
R-crc32c0.0.2-lp156.1.1Cyclic Redundancy Check with CPU-Specific Acceleration
R-CREAM1.1.1-lp156.2.1Clustering of Genomic Regions Analysis Method
R-createLogicalPCM0.1.0-lp156.1.1Create Logical Pairwise Comparison Matrix for the Analytic H
R-CRediTas0.2.0-lp156.1.1Generate CRediT Author Statements
R-CreditMetrics0.0.2-lp156.2.1Functions for calculating the CreditMetrics risk model
R-CreditRisk0.1.7-lp156.2.1Evaluation of Credit Risk with Structural and Reduced Form M
R-CREDS0.1.0-lp156.1.1Calibrated Ratio Estimator under Double Sampling Design
R-credsubs1.1.1-lp156.2.1Credible Subsets
R-credule0.1.4-lp156.2.1Credit Default Swap Functions
R-cregg0.4.0-lp156.16.1Simple Conjoint Tidying, Analysis, and Visualization
R-cRegulome0.3.2-lp156.12.1Obtain and Visualize Regulome-Gene Expression Correlations i
R-CRF0.4.3-lp156.2.1Conditional Random Fields
R-cricketdata0.2.3-lp156.2.1International Cricket Data
R-cricketr0.0.26-lp156.14.1Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo
R-crimCV1.0.0-lp156.1.1Group-Based Modelling of Longitudinal Data
R-crimelinkage0.0.4-lp156.4.1Statistical Methods for Crime Series Linkage
R-crimeutils0.3.0-lp156.13.1A Comprehensive Set of Functions to Clean, Analyze, and Pres
R-crisp1.0.0-lp156.2.1Fits a Model that Partitions the Covariate Space into Blocks
R-criticalpath0.2.1-lp156.9.1An Implementation of the Critical Path Method
R-CRM1.2.4-lp156.2.1Continual Reassessment Method (CRM) for Phase I Clinical Tri
R-crmReg1.0.2-lp156.14.1Cellwise Robust M-Regression and SPADIMO
R-crn1.1-lp156.3.1Downloads and Builds datasets for Climate Reference Network
R-crochet2.3.0-lp156.2.1Implementation Helper for \'[\' and \'[<-\' of Custom Matrix
R-Cronbach0.1-lp156.2.1Cronbach\'s Alpha
R-crone0.1.1-lp156.2.1Structural Crystallography in 1d
R-cronologia0.2.0-lp156.7.1Create an HTML Vertical Timeline from a Data Frame in \'rmar
R-cronR0.6.5-lp156.1.1Schedule R Scripts and Processes with the \'cron\' Job Sched
R-crop0.0.3-lp156.2.1Graphics Cropping Tool
R-cropcircles0.2.4-lp156.1.1Crops an Image to a Circle
R-cropdatape1.0.0-lp156.2.1Open Data of Agricultural Production of Crops of Peru
R-cropDemand1.0.3-lp156.1.1Spatial Crop Water Demand for Brazil
R-cropgrowdays0.2.1-lp156.2.1Crop Growing Degree Days and Agrometeorological Calculations
R-CropScapeR1.1.5-lp156.2.1Access Cropland Data Layer Data via the \'CropScape\' Web Se
R-CropWaterBalance0.2.0-lp156.2.1Climate Water Balance for Irrigation Purposes
R-cropZoning1.0.3-lp156.1.1Climate Crop Zoning Based in Air Temperature for Brazil
R-CrossClustering4.1.2-lp156.2.1A Partial Clustering Algorithm
R-crossdes1.1.2-lp156.1.1Construction of Crossover Designs
R-crossmap0.4.0-lp156.2.1Apply Functions to All Combinations of List Elements
R-crossReg1.0-lp156.2.1Confidence intervals for crossover points of two simple regr
R-Crosstabs.Loglinear0.1.1-lp156.2.1Cross Tabulation and Loglinear Analyses of Categorical Data
R-crosstalk1.2.1-lp156.3.1Inter-Widget Interactivity for HTML Widgets
R-CrossVA1.0.0-lp156.4.1Verbal Autopsy Data Transformation for InSilicoVA and InterV
R-crossval1.0.5-lp156.1.1Generic Functions for Cross Validation
R-crossvalidationCP1.1-lp156.1.1Cross-Validation for Change-Point Regression
R-crosswalkr0.2.6-lp156.19.1Rename and Encode Data Frames Using External Crosswalk Files
R-crossword.r0.3.6-lp156.15.1Generating Crosswords from Word Lists
R-crov0.3.0-lp156.1.1Constrained Regression Model for an Ordinal Response and Ord
R-crplyr0.4.0-lp156.5.1A \'dplyr\' Interface for Crunch
R-crqa2.0.6-lp156.1.1Unidimensional and Multidimensional Methods for Recurrence Q
R-crrcbcv1.0-lp156.1.1Bias-Corrected Variance for Competing Risks Regression with
R-crrp1.0-lp156.2.1Penalized Variable Selection in Competing Risks Regression
R-crrSC1.1.2-lp156.1.1Competing Risks Regression for Stratified and Clustered Data
R-crrstep2023.1.1-lp156.1.1Stepwise Covariate Selection for the Fine & Gray Competing R
R-crseEventStudy1.2.2-lp156.1.1A Robust and Powerful Test of Abnormal Stock Returns in Long
R-crsmeta0.3.0-lp156.2.1Extract Coordinate System Metadata
R-crsnls0.2-lp156.2.1Nonlinear Regression Parameters Estimation by \'CRS4HC\' and
R-crso0.1.1-lp156.2.1Cancer Rule Set Optimization (\'crso\')
R-crtests0.2.1-lp156.25.1Classification and Regression Tests
R-CRTgeeDR2.0.1-lp156.4.1Doubly Robust Inverse Probability Weighted Augmented GEE Est
R-CRTSize1.2-lp156.1.1Sample Size Estimation Functions for Cluster Randomized Tria
R-crunch1.30.4-lp156.1.1Crunch.io Data Tools
R-crunchy0.3.3-lp156.9.1Shiny Apps on Crunch
R-cruts1.1-lp156.9.1Interface to Climatic Research Unit Time-Series Version 3.21
R-CRWRM0.0.1-lp156.2.1Changing the Reference Group without Re-Running the Model
R-cry0.5.1-lp156.3.1Statistics for Structural Crystallography
R-cryptorng0.1.4-lp156.2.1Access System Cryptographic Pseudorandom Number Generators
R-cryptoTax0.0.5-lp156.1.1Report Crypto Taxes (Canada Only)
R-cryptotrackr1.3.3-lp156.1.1An Interface to Crypto Data Sources
R-cryptoverse0.1.0-lp156.1.1Visualization and Analytics for the Cryptoverse
R-cryptowatchR0.2.0-lp156.5.1An API Wrapper for \'Cryptowatch\'
R-cryst0.1.0-lp156.3.1Calculate the Relative Crystallinity of Starch by XRD and FT
R-csampling1.2.2.1-lp156.2.1Functions for Conditional Simulation in Regression-Scale Mod
R-csdata2024.4.26-lp156.2.1Structural Data for Norway
R-CSeqpat0.1.2-lp156.4.1Frequent Contiguous Sequential Pattern Mining of Text
R-CSGo0.6.7-lp156.13.1Collecting Counter Strike Global Offensive Data
R-cshapes0.6-lp156.2.1The CShapes Dataset and Utilities
R-CSHShydRology1.3.0-lp156.5.1Canadian Hydrological Analyses
R-CSIndicators1.1.1-lp156.1.1Climate Services\' Indicators Based on Sub-Seasonal to Decad
R-csmaps2023.5.22-lp156.1.1Preformatted Maps of Norway that Don\'t Need Geolibraries
R-CSMES1.0.1-lp156.1.1Cost-Sensitive Multi-Criteria Ensemble Selection for Uncerta
R-csn1.1.3-lp156.2.1Closed Skew-Normal Distribution
R-csodata1.5.0-lp156.1.1Download Data from the CSO \'PxStat\' API
R-csp0.1.0-lp156.2.1Correlates of State Policy Data Set in R
R-cspec0.1.2-lp156.2.1Complete Discrete Fourier Transform (DFT) and Periodogram
R-cspp0.3.3-lp156.5.1A Tool for the Correlates of State Policy Project Data
R-csppData0.2.61-lp156.1.1Data Only: The Correlates of State Policy Project Dataset
R-csrplus1.03.0-lp156.2.1Methods to Test Hypotheses on the Distribution of Spatial Po
R-csSAM1.2.4-lp156.2.1csSAM - cell-specific Significance Analysis of Microarrays
R-cssTools1.0-lp156.12.1Cognitive Social Structure Tools
R-cstar1.0-lp156.2.1Substantive significance testing for regression estimates an
R-cstidy2023.5.24-lp156.2.1Helpful Functions for Cleaning Surveillance Data
R-cstime2023.5.3-lp156.1.1Date and Time Functions for Public Health Purposes
R-CSTools5.2.0-lp156.1.1Assessing Skill of Climate Forecasts on Seasonal-to-Decadal
R-csutil2023.4.25-lp156.1.1Common Base-R Problems Relating to Lists
R-csv0.6.2-lp156.3.1Read and Write CSV Files with Selected Conventions
R-csvread1.2.2-lp156.1.1Fast Specialized CSV File Loader
R-csvwr0.1.7-lp156.6.1Read and Write CSV on the Web (CSVW) Tables and Metadata
R-csvy0.3.0-lp156.2.1Import and Export CSV Data with a YAML Metadata Header
R-cta1.3.0-lp156.1.1Contingency Table Analysis Based on ML Fitting of MPH Models
R-ctbi2.0.5-lp156.1.1A Procedure to Clean, Decompose and Aggregate Timeseries
R-ctf0.1.0-lp156.1.1Read and Write Column Text Format (CTF)
R-cthreshER1.1.0-lp156.2.1Continuous Threshold Expectile Regression
R-ctl1.0.0.10-lp156.1.1Correlated Trait Locus Mapping
R-CTM0.2-lp156.3.1A Text Mining Toolkit for Chinese Document
R-ctmcmove1.2.9-lp156.23.1Modeling Animal Movement with Continuous-Time Discrete-Space
R-ctmva1.4.0-lp156.1.1Continuous-Time Multivariate Analysis
R-CTNote0.1.0-lp156.4.1CTN Outcomes, Treatments, and Endpoints
R-ctrdata1.7.1-lp156.1.1Retrieve and Analyze Clinical Trials in Public Registers
R-ctsfeatures1.2.2-lp156.1.1Analyzing Categorical Time Series
R-CTT2.3.3-lp156.2.1Classical Test Theory Functions
R-CTTinShiny0.1.0-lp156.13.1Shiny Interface for the CTT Package
R-ctv0.9.5-lp156.1.1CRAN Task Views
R-CUB1.1.5-lp156.1.1A Class of Mixture Models for Ordinal Data
R-cubelyr1.0.2-lp156.3.1A Data Cube \'dplyr\' Backend
R-cubicBsplines1.0.0-lp156.1.1Computation of a Cubic B-Spline Basis and Its Derivatives
R-CUMP2.0-lp156.2.1Analyze Multivariate Phenotypes by Combining Univariate Resu
R-cumplyr0.1.1-lp156.2.1Extends ddply to allow calculation of cumulative quantities.
R-cumprinc0.1-lp156.2.1Functions Centered Around Microsoft Excel Cumprinc Function
R-cumSeg1.3-lp156.2.1Change Point Detection in Genomic Sequences
R-cumstats1.0-lp156.2.1Cumulative Descriptive Statistics
R-cumulcalib0.0.1-lp156.1.1Cumulative Calibration Assessment for Prediction Models
R-cumulocityr0.1.0-lp156.2.1Client for the \'Cumulocity\' API
R-cuperdec1.1.0-lp156.9.1Cumulative Percent Decay Curve Generator
R-CureDepCens0.1.0-lp156.1.1Dependent Censoring Regression Models with Cure Fraction
R-curephEM0.3.0-lp156.1.1NPMLE for Logistic-Cox Cure-Rate Model
R-cureplots1.1.0-lp156.1.1CURE (Cumulative Residual) Plots
R-currencyapi0.1.0-lp156.1.1Client for the \'currencyapi.com\' Currency Conversion API
R-currentSurvival1.1-lp156.1.1Estimation of CCI and CLFS Functions
R-currr0.1.2-lp156.4.1Apply Mapping Functions in Frequent Saving
R-curry0.1.1-lp156.2.1Partial Function Application with %<%, <%, and %><%
R-cursr0.1.0-lp156.1.1Cursor and Terminal Manipulation
R-curtailment0.2.6-lp156.2.1Finds Binary Outcome Designs Using Stochastic Curtailment
R-curvecomp0.1.0-lp156.2.1Multiple Curve Comparisons Using Parametric Bootstrap
R-curvir0.1.1-lp156.3.1Specify Reserve Demand Curves
R-CustomDerivative0.1.1-lp156.1.1Pricing Various Types of Custom Derivatives
R-CustomerScoringMetrics1.0.0-lp156.2.1Evaluation Metrics for Customer Scoring Models Depending on
R-customsteps0.7.1.0-lp156.11.1Customizable Higher-Order Recipe Step Functions
R-CustosAscensor0.1.0-lp156.2.1Costs Allocation for the Installation of an Elevator
R-cusumcharter0.1.0-lp156.7.1Easier CUSUM Control Charts
R-CUSUMdesign1.1.5-lp156.2.1Compute Decision Interval and Average Run Length for CUSUM C
R-cutoff1.3-lp156.22.1Seek the Significant Cutoff Value
R-cutoffR1.0-lp156.9.1CUTOFF: A Spatio-temporal Imputation Method
R-CutpointsOEHR0.1.2-lp156.2.1Optimal Equal-HR Method to Find Two Cutpoints for U-Shaped R
R-cuttlefish.model1.0-lp156.2.1An R package to perform LPUE standardization and stock asses
R-cvam0.9.3-lp156.1.1Coarsened Variable Modeling
R-cvar0.5-lp156.1.1Compute Expected Shortfall and Value at Risk for Continuous
R-cvAUC1.1.4-lp156.1.1Cross-Validated Area Under the ROC Curve Confidence Interval
R-CVcalibration1.0.1-lp156.2.1Estimation of the Calibration Equation with Error-in Observa
R-cvcrand0.1.1-lp156.4.1Efficient Design and Analysis of Cluster Randomized Trials
R-CVD1.0.2-lp156.2.1Color Vision Deficiencies
R-CVEK0.1.2-lp156.2.1Cross-Validated Kernel Ensemble
R-cvequality0.2.0-lp156.2.1Tests for the Equality of Coefficients of Variation from Mul
R-cvGEE0.3.0-lp156.2.1Cross-Validated Predictions from GEE
R-CVglasso1.0-lp156.16.1Lasso Penalized Precision Matrix Estimation
R-cvmaPLFAM0.1.0-lp156.2.1Cross-Validation Model Averaging for Partial Linear Function
R-cvmdisc0.1.0-lp156.2.1Cramer von Mises Tests for Discrete or Grouped Distributions
R-cvmgof1.0.3-lp156.1.1Cramer-von Mises Goodness-of-Fit Tests
R-cvq21.2.0-lp156.2.1Calculate the predictive squared correlation coefficient
R-CVrisk1.1.1-lp156.1.1Compute Risk Scores for Cardiovascular Diseases
R-cvsem1.0.0-lp156.2.1SEM Model Comparison with K-Fold Cross-Validation
R-CVST0.2.3-lp156.1.1Fast Cross-Validation via Sequential Testing
R-CVThresh1.1.2-lp156.1.1Level-Dependent Cross-Validation Thresholding
R-cvTools0.3.3-lp156.2.1Cross-Validation Tools for Regression Models
R-CVTuningCov1.0-lp156.2.1Regularized Estimators of Covariance Matrices with CV Tuning
R-cvwrapr1.0-lp156.1.1Tools for Cross Validation
R-cvxbiclustr0.0.1-lp156.2.1Convex Biclustering Algorithm
R-cwhmisc6.6-lp156.2.1Miscellaneous Functions for Math, Plotting, Printing, Statis
R-cwm0.0.3-lp156.2.1Cluster Weighted Models by EM algorithm
R-cwot0.1.0-lp156.1.1Cauchy Weighted Joint Test for Pharmacogenetics Analysis
R-cxr1.1.1-lp156.4.1A Toolbox for Modelling Species Coexistence in R
R-cxxfunplus1.0.2-lp156.1.1Extend \'cxxfunction\' by Saving the Dynamic Shared Objects
R-cyclocomp1.1.1-lp156.2.1Cyclomatic Complexity of R Code
R-cycloids1.0.2-lp156.1.1Tools for Calculating Hypocycloids, Epicycloids, Hypotrochoi
R-cyclomort1.0.2-lp156.11.1Survival Modeling with a Periodic Hazard Function
R-cyclotomic1.3.0-lp156.1.1The Field of Cyclotomic Numbers
R-cymruservices0.5.0-lp156.6.1Query \'Team Cymru\' \'IP\' Address, Autonomous System Numbe
R-cyphid1.1-lp156.11.1Cycle and Phase Identification for mastication data
R-CytobankAPI2.2.1-lp156.2.1Cytobank API Wrapper for R
R-CytobankBridgeR1.0.0-lp156.3.1Bridging and Extending the CytobankAPI Package in R to the C
R-cytoDiv0.5.3-lp156.2.1Cytometric diversity indices
R-cytofan0.1.0-lp156.14.1Plot Fan Plots for Cytometry Data using \'ggplot2\'
R-czechrates0.2.5-lp156.2.1Czech Interest & Foreign Exchange Rates
R-D3GB2.0-lp156.2.1Interactive Genome Browser
R-d3Network0.5.2.1-lp156.3.1Tools for creating D3 JavaScript network, tree, dendrogram,
R-d3r1.1.0-lp156.4.1\'d3.js\' Utilities for R
R-daarem0.7-lp156.1.1Damped Anderson Acceleration with Epsilon Monotonicity for A
R-dabestr2023.9.12-lp156.2.1Data Analysis using Bootstrap-Coupled Estimation
R-DACF1.0.0-lp156.2.1Data Analysis with Ceiling and/or Floor Data
R-dadjoke1.0-lp156.2.1Displays a Dad Joke
R-daewr1.2.11-lp156.2.1Design and Analysis of Experiments with R
R-dafs1.0.38-lp156.1.1Data Analysis for Forensic Scientists
R-dagHMM0.1.0-lp156.1.1Directed Acyclic Graph HMM with TAN Structured Emissions
R-dagR1.2.1-lp156.1.1Directed Acyclic Graphs: Analysis and Data Simulation
R-dail1.5.2-lp156.2.1Data from Access to Information Law
R-DAIME2.1.3-lp156.2.1Effects of Changing Deposition Rates
R-DAKS2.1.3-lp156.2.1Data Analysis and Knowledge Spaces
R-DALEX2.4.3-lp156.1.1moDel Agnostic Language for Exploration and eXplanation
R-DALEXtra2.3.0-lp156.1.1Extension for \'DALEX\' Package
R-dalmatian1.0.0-lp156.9.1Automating the Fitting of Double Linear Mixed Models in \'JA
R-DALSM0.9.1-lp156.1.1Nonparametric Double Additive Location-Scale Model (DALSM)
R-DALY1.5.0-lp156.2.1The DALY Calculator - Graphical User Interface for Probabili
R-dam0.0.1-lp156.2.1Data Analysis Metabolomics
R-damr0.3.7-lp156.14.1Interface to Drosophila Activity Monitor System Result Files
R-dams0.3.0-lp156.20.1Dams in the United States from the National Inventory of Dam
R-DandEFA1.6-lp156.4.1Dandelion Plot for R-Mode Exploratory Factor Analysis
R-dang0.0.16-lp156.1.1\'Dang\' Associated New Goodies
R-dani0.1.1-lp156.16.1Design and Analysis of Non-Inferiority Trials
R-danstat0.2.0-lp156.5.1R Client for the Statistics Denmark Databank API
R-DAP1.0-lp156.2.1Discriminant Analysis via Projections
R-dapr0.0.3-lp156.2.1\'purrr\'-Like Apply Functions Over Input Elements
R-daqapo0.3.2-lp156.9.1Data Quality Assessment for Process-Oriented Data
R-DArand0.0.1.2-lp156.1.1Differential Analysis with Random Reference Genes
R-Dark0.9.8-lp156.2.1The Analysis of Dark Adaptation Data
R-DarkDiv0.3.0-lp156.2.1Estimating Dark Diversity and Site-Specific Species Pools
R-darksky1.3.0-lp156.14.1Tools to Work with the \'Dark Sky\' \'API\'
R-dartR.data1.0.8-lp156.1.1Auxiliary Data Package for Our Main Package \'dartR\'
R-darts1.0-lp156.2.1Statistical Tools to Analyze Your Darts Game
R-dashboard0.1.0-lp156.2.1Interactive Data Visualization with D3.js
R-dashboardthemes1.1.6-lp156.6.1Customise the Appearance of \'shinydashboard\' Applications
R-dashCoreComponents1.10.0-lp156.2.1Core Interactive UI Components for \'Dash\'
R-dashHtmlComponents1.0.3-lp156.2.1Vanilla HTML Components for \'Dash\'
R-dashPivottable0.0.2.1-lp156.2.1Interactive React-Based Pivot Tables for Dash
R-dashTable4.7.0-lp156.2.1Core Interactive Table Component for \'dash\'
R-Dasst0.3.4-lp156.1.1Tools for Reading, Processing and Writing \'DSSAT\' Files
R-data.tree1.1.0-lp156.2.1General Purpose Hierarchical Data Structure
R-data360r1.0.9-lp156.4.1Wrapper for \'TCdata360\' and \'Govdata360\' API
R-dataclass0.3.0-lp156.1.1Easily Create Structured Lists or Data Frames with Input Val
R-DataCombine0.2.21-lp156.13.1Tools for Easily Combining and Cleaning Data Sets
R-datacutr0.1.0-lp156.3.1SDTM Datacut
R-datadictionary1.0.0-lp156.4.1Create a Data Dictionary
R-datadogr0.1.2-lp156.20.1R Client for \'Datadog\' API
R-datadriftR0.0.1-lp156.1.1Concept Drift Detection Methods for Stream Data
R-DataFakeR0.1.3-lp156.2.1Generate Fake Data for Relational Databases
R-dataframeexplorer1.0.2-lp156.9.1Familiarity with Dataframes Before Data Manipulation
R-dataframes2xls0.4.7-lp156.2.1Write Data Frames to Xls Files
R-datagovindia1.0.5-lp156.9.1Data.gov.in API Wrapper
R-datamap0.1.1-lp156.2.1A system for mapping foreign objects to R variables and envi
R-datamart0.5.2-lp156.3.1Unified access to your data sources
R-dataMeta0.1.1-lp156.13.1Create and Append a Data Dictionary for an R Dataset
R-dataMojo1.0.0-lp156.1.1Reshape Data Table
R-datanugget1.2.1-lp156.1.1Create, and Refine Data Nuggets
R-dataonderivatives0.4.0-lp156.7.1Easily Source Publicly Available Data on Derivatives
R-datapasta3.1.0-lp156.13.1R Tools for Data Copy-Pasta
R-dataprep0.1.5-lp156.10.1Efficient and Flexible Data Preprocessing Tools
R-dataPreparation1.1.1-lp156.3.1Automated Data Preparation
R-dataQualityR1.0-lp156.2.1Performs variable level data quality checks and generates su
R-dataresqc1.1.1-lp156.1.1C3S Quality Control Tools for Historical Climate Data
R-datarium0.1.0-lp156.2.1Data Bank for Statistical Analysis and Visualization
R-datarobot2.18.6-lp156.2.1\'DataRobot\' Predictive Modeling API
R-datasauRus0.1.8-lp156.1.1Datasets from the Datasaurus Dozen
R-dataSDA0.1.0-lp156.2.1Data Sets for Symbolic Data Analysis
R-dataseries0.2.0-lp156.2.1Switzerland\'s Data Series in One Place
R-dataset0.3.1-lp156.1.1Create Data Frames that are Easier to Exchange and Reuse
R-datasetsICR1.0-lp156.2.1Datasets from the Book \"An Introduction to Clustering with
R-DataSetsUni0.1-lp156.1.1A Collection of Univariate Data Sets
R-DataSpaceR0.7.6-lp156.2.1Interface to \'the CAVD DataSpace\'
R-datastepr0.0.2-lp156.13.1An Implementation of a SAS-Style Data Step
R-DatastreamR2.0.4-lp156.2.1Datastream API
R-DATAstudio1.1-lp156.6.1The Research Data Warehouse of Miguel de Carvalho
R-datasus0.4.1.1-lp156.1.1An Interface to DATASUS System
R-dataverifyr0.1.8-lp156.1.1A Lightweight, Flexible, and Fast Data Validation Package th
R-dataverse0.3.14-lp156.2.1Client for Dataverse 4+ Repositories
R-date1.2.42-lp156.1.1Functions for handling dates
R-dateback1.0.5-lp156.2.1Collect and Install R Packages on a Specified Date with Depe
R-daterangepicker0.2.0-lp156.5.1Create a Shiny Date-Range Input
R-datetime0.1.4-lp156.2.1Nominal Dates, Times, and Durations
R-datetimeoffset0.3.1-lp156.2.1Datetimes with Optional UTC Offsets and/or Heterogeneous Tim
R-DateTimeRangePicker1.1.0-lp156.4.1A Datetime Range Picker Widget for Usage in \'Shiny\' Applic
R-datetimeutils0.6.4-lp156.2.1Utilities for Dates and Times
R-datetoiso0.2.0-lp156.2.1Modify Dates to ISO Standard (\"International Organization f
R-datoramar0.1.0-lp156.11.1Interface to the \'Datorama\' API
R-datplot1.1.1-lp156.1.1Preparation of Object Dating Ranges for Density Plots (Aoris
R-datrProfile0.1.0-lp156.10.1Column Profile for Tables and Datasets
R-dave2.0-lp156.4.1Functions for \"Data Analysis in Vegetation Ecology\"
R-Davies1.2.0-lp156.1.1The Davies quantile function
R-dawai1.2.6-lp156.1.1Discriminant Analysis with Additional Information
R-daymetr1.7.1-lp156.2.1Interface to the \'Daymet\' Web Services
R-dbacf0.2.8-lp156.1.1Autocovariance Estimation via Difference-Based Methods
R-dbarts0.9.28-lp156.2.1Discrete Bayesian Additive Regression Trees Sampler
R-dbd0.0.22-lp156.1.1Discretised Beta Distribution
R-dbEmpLikeGOF1.2.4-lp156.2.1Goodness-of-fit and two sample comparison tests using sample
R-dbEmpLikeNorm1.0.0-lp156.2.1Test for joint assessment of normality
R-DBEST1.8-lp156.2.1Detecting Breakpoints and Estimating Segments in Trend
R-DBfit2.0-lp156.1.1A Double Bootstrap Method for Analyzing Linear Models with A
R-dbflobr0.2.2-lp156.4.1Read and Write Files to SQLite Databases
R-DBGSA1.2-lp156.2.1methods of distance-based gene set functional enrichment ana
R-DBHC0.0.3-lp156.8.1Sequence Clustering with Discrete-Output HMMs
R-dbhydroR0.2.8-lp156.5.1\'DBHYDRO\' Hydrologic and Water Quality Data
R-DBI1.2.3-lp156.2.1R Database Interface
R-DBIsqldf0.9.9.2-lp156.1.1Manipulate R Data Frames Using SQL
R-dblcens1.1.9-lp156.1.1Compute the NPMLE of Distribution Function from Doubly Censo
R-dBlockmodeling0.2.3-lp156.1.1Deterministic Blockmodeling of Signed, One-Mode and Two-Mode
R-dblr0.1.0-lp156.5.1Discrete Boosting Logistic Regression
R-dbMC1.0.0-lp156.1.1Confidence Interval for Matrix Completion via De-Biased Esti
R-DBModelSelect0.2.0-lp156.1.1Distribution-Based Model Selection
R-dbparser2.0.3-lp156.2.1Drugs Databases Parser
R-dbplot0.3.3-lp156.17.1Simplifies Plotting Data Inside Databases
R-dbplyr2.5.0-lp156.2.1A \'dplyr\' Back End for Databases
R-DBR1.4.1-lp156.1.1Discrete Beta Regression
R-dbstats2.0.2-lp156.1.1Distance-Based Statistics
R-dbWebForms0.1.0-lp156.4.1Produce R Functions to Create HTML Forms Based on SQL Meta D
R-dbx0.3.2-lp156.2.1A Fast, Easy-to-Use Database Interface
R-DCA2.0-lp156.3.1Dynamic Correlation Analysis for High Dimensional Data
R-DCCA0.1.1-lp156.2.1Detrended Fluctuation and Detrended Cross-Correlation Analys
R-DCG0.9.3-lp156.2.1Data Cloud Geometry (DCG): Using Random Walks to Find Commun
R-DChaos0.1.7-lp156.1.1Chaotic Time Series Analysis
R-dChipIO0.1.5-lp156.2.1Methods for Reading dChip Files
R-dcifer1.2.1-lp156.1.1Genetic Relatedness Between Polyclonal Infections
R-dclust0.1.0-lp156.4.1Divisive Hierarchical Clustering
R-DCluster0.2.10-lp156.1.1Functions for the Detection of Spatial Clusters of Diseases
R-dcminfo0.1.7-lp156.3.1Information Matrix for Diagnostic Classification Models
R-dcmodify0.9.0-lp156.2.1Modify Data Using Externally Defined Modification Rules
R-dcmodifydb0.3.1-lp156.5.1Modifying Rules on a DataBase
R-DCODE1.0-lp156.7.1List Linear n-Peptide Constraints for Overlapping Protein Re
R-dCovTS1.1-lp156.3.1Distance Covariance and Correlation for Time Series Analysis
R-dcTensor1.3.0-lp156.2.1Discrete Matrix/Tensor Decomposition
R-dCUR1.0.1-lp156.1.1Dimension Reduction with Dynamic CUR
R-dcv0.1.1-lp156.2.1Conventional Cross-validation statistics for climate-growth
R-dde1.0.5-lp156.1.1Solve Delay Differential Equations
R-ddi0.1.0-lp156.2.1The Data Defect Index for Samples that May not be IID
R-ddiv0.1.0-lp156.2.1Data Driven I-v Feature Extraction
R-DDIwR0.18-lp156.1.1DDI with R
R-DDM1.0.0-lp156.2.1Death Registration Coverage Estimation
R-ddp0.0.3-lp156.1.1Desirable Dietary Pattern
R-DDPM0.1.0-lp156.1.1Data Sets for Discrete Probability Models
R-ddst1.4-lp156.2.1Data Driven Smooth Tests
R-deadband0.1.0-lp156.2.1Statistical Deadband Algorithms Comparison
R-deal1.2.42-lp156.1.1Learning Bayesian Networks with Mixed Variables
R-deamer1.0-lp156.2.1Deconvolution density estimation with adaptive methods for a
R-debar0.1.1-lp156.1.1A Post-Clustering Denoiser for COI-5P Barcode Data
R-DEBBI0.1.0-lp156.1.1Differential Evolution-Based Bayesian Inference
R-deBif0.1.8-lp156.3.1Bifurcation Analysis of Ordinary Differential Equation Syste
R-deBInfer0.4.4-lp156.2.1Bayesian Inference for Differential Equations
R-debkeepr0.1.1-lp156.1.1Analysis of Non-Decimal Currencies and Double-Entry Bookkeep
R-DeBoinR1.0-lp156.1.1Box-Plots and Outlier Detection for Probability Density Func
R-debugme1.2.0-lp156.2.1Debug R Packages
R-debugr0.0.1-lp156.3.1Debug Tool to Watch Objects/Expressions While Running an R S
R-DECIDE1.3-lp156.1.1DEComposition of Indirect and Direct Effects
R-decision0.1.0-lp156.2.1Statistical Decision Analysis
R-decode1.2-lp156.2.1Differential Co-Expression and Differential Expression Analy
R-decoder1.2.2-lp156.2.1Decode Coded Variables to Plain Text and the Other Way Aroun
R-decomposedPSF0.2-lp156.2.1Time Series Prediction with PSF and Decomposition Methods (E
R-DecomposeR1.0.6-lp156.5.1Empirical Mode Decomposition for Cyclostratigraphy
R-decompr6.4.0-lp156.1.1Global Value Chain Decomposition
R-decon1.3.4-lp156.1.1Deconvolution Estimation in Measurement Error Models
R-deconvolveR1.2.1-lp156.2.1Empirical Bayes Estimation Strategies
R-decor1.0.2-lp156.1.1Retrieve Code Decorations
R-decorators0.3.0-lp156.3.1Extend the Behaviour of a Function without Explicitly Modify
R-deducorrect1.3.7-lp156.8.1Deductive Correction, Deductive Imputation, and Deterministi
R-deductive1.0.0-lp156.1.1Data Correction and Imputation Using Deductive Methods
R-DeductiveR1.0.0-lp156.10.1Deductive Rational Method
R-deduped0.2.0-lp156.1.1Making \"Deduplicated\" Functions
R-dedupewider0.1.0-lp156.1.1Deduplication Across Multiple Columns
R-deep0.1.0-lp156.2.1A Neural Networks Framework
R-deepdep0.4.3-lp156.2.1Visualise and Explore the Deep Dependencies of R Packages
R-deepdive1.0.4-lp156.7.1Deep Learning for General Purpose
R-deepgmm0.2.1-lp156.1.1Deep Gaussian Mixture Models
R-deeplr2.0.1-lp156.2.1Interface to the \'DeepL\' Translation API
R-deepnet0.2.1-lp156.1.1Deep Learning Toolkit in R
R-deepNN1.2-lp156.1.1Deep Learning
R-DEEPR0.1-lp156.2.1Dirichlet-multinomial Evolutionary Event Profile Randomizati
R-deepregression1.0.0-lp156.2.1Fitting Deep Distributional Regression
R-deepRstudio0.0.9-lp156.1.1Seamless Language Translation in \'RStudio\' using \'DeepL\'
R-DEEVD1.2.3-lp156.1.1Density Estimation by Extreme Value Distributions
R-default1.0.0-lp156.2.1Change the Default Arguments in R Functions
R-defineOptions0.9-lp156.1.1Define and Parse Command Line Options
R-deFit0.2.1-lp156.1.1Fitting Differential Equations to Time Series Data
R-deflateBR1.1.2-lp156.17.1Deflate Nominal Brazilian Reais
R-deflist0.2.0-lp156.1.1Deferred List - A Read-Only List-Like Object with Deferred A
R-degday0.4.0-lp156.1.1Compute Degree Days
R-deGradInfer1.0.1-lp156.3.1Parameter Inference for Systems of Differential Equation
R-degreenet1.3.5-lp156.2.1Models for Skewed Count Distributions Relevant to Networks
R-degross0.9.0-lp156.1.1Density Estimation from GROuped Summary Statistics
R-Delaporte8.4.1-lp156.1.1Statistical Functions for the Delaporte Distribution
R-DelayedEffect.Design1.1.3-lp156.1.1Sample Size and Power Calculations using the APPLE, SEPPLE,
R-deldir2.0.4-lp156.1.1Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
R-delt0.8.2-lp156.2.1Estimation of Multivariate Densities Using Adaptive Partitio
R-Delta0.2.0.3-lp156.2.1Measure of Agreement Between Two Raters
R-deltaccd1.0.2-lp156.6.1Quantify Rhythmic Gene Co-Expression Relative to a Reference
R-deltaPlotR1.6-lp156.2.1Identification of Dichotomous Differential Item Functioning
R-DELTD2.6.8-lp156.1.1Kernel Density Estimation using Lifetime Distributions
R-DEM0.0.0.2-lp156.1.1The Distributed EM Algorithms in Multivariate Gaussian Mixtu
R-demcon0.4.0-lp156.1.1Interfacing with Popular Polity, Institutional, and Constitu
R-Demerelate0.9.3-lp156.12.1Functions to Calculate Relatedness on Diploid Genetic Data
R-demogR0.6.0-lp156.2.1Analysis of age-structured demographic models
R-DemografixeR0.1.1-lp156.2.1Extrapolate Gender, Age and Nationality of a Name
R-demoKde1.0.1-lp156.1.1Kernel Density Estimation for Demonstration Purposes
R-DemoKin1.0.3-lp156.3.1Estimate Population Kin Distribution
R-demoShiny0.1-lp156.13.1Runs a \'Shiny\' App as Demo or Lists All Demo \'Shiny\' App
R-DEMOVA1.0-lp156.2.1DEvelopment (of Multi-Linear QSPR/QSAR) MOdels VAlidated usi
R-dendroextras0.2.3-lp156.2.1Extra Functions to Cut, Label and Colour Dendrogram Clusters
R-dendrometry0.0.2-lp156.1.1Forest Estimations and Dendrometric Computations
R-DendroSync0.1.4-lp156.6.1A Set of Tools for Calculating Spatial Synchrony Between Tre
R-DendSer1.0.2-lp156.3.1Dendrogram Seriation: Ordering for Visualisation
R-dendsort0.3.4-lp156.1.1Modular Leaf Ordering Methods for Dendrogram Nodes
R-denguedatahub1.0.4-lp156.1.1A Tidy Format Datasets of Dengue by Country
R-denoiSeq0.1.1-lp156.2.1Differential Expression Analysis Using a Bottom-Up Model
R-denovolyzeR0.2.0-lp156.15.1Statistical Analyses of De Novo Genetic Variants
R-denpro0.9.2-lp156.2.1Visualization of Multivariate Functions, Sets, and Data
R-denseFLMM0.1.2-lp156.2.1Functional Linear Mixed Models for Densely Sampled Data
R-densitr0.2-lp156.1.1Analysing Density Profiles from Resistance Drilling of Trees
R-Density.T.HoldOut2.00-lp156.2.1Density.T.HoldOut: Non-combinatorial T-estimation Hold-Out f
R-DensParcorr1.1-lp156.3.1Dens-Based Method for Partial Correlation Estimation in Larg
R-densratio0.2.1-lp156.2.1Density Ratio Estimation
R-denstrip1.5.4-lp156.3.1Density Strips and Other Methods for Compactly Illustrating
R-denvax0.1.2-lp156.2.1Simple Dengue Test and Vaccinate Cost Thresholds
R-DEoptim2.2.8-lp156.1.1Global Optimization by Differential Evolution
R-DEoptimR1.1.3-lp156.1.1Differential Evolution Optimization in pure R
R-depcache0.1.2-lp156.1.1Cache R Expressions, Taking Their Dependencies into Account
R-DepCens0.2.3-lp156.1.1Dependent Censoring Regression Models
R-depend.truncation3.0-lp156.2.1Statistical Methods for the Analysis of Dependently Truncate
R-DepLogo1.2.1-lp156.1.1Dependency Logo
R-depmix0.9.16-lp156.2.1Dependent Mixture Models
R-depmixS41.5.0-lp156.1.1Dependent Mixture Models - Hidden Markov Models of GLMs and
R-depth.plot0.1-lp156.2.1Multivariate Analogy of Quantiles
R-depthTools0.7-lp156.1.1Depth Tools Package
R-dequer2.0.2-lp156.1.1Stacks, Queues, and \'Deques\' for R
R-DeRezende.Ferreira0.1.0-lp156.2.1Zero Coupon Yield Curve Modelling
R-derivmkts0.2.5-lp156.2.1Functions and R Code to Accompany Derivatives Markets
R-DES1.0.0-lp156.2.1Discrete Event Simulation
R-desc1.4.3-lp156.1.1Manipulate DESCRIPTION Files
R-descomponer1.6-lp156.1.1Seasonal Adjustment by Frequency Analysis
R-descr1.1.8-lp156.1.1Descriptive statistics
R-describedata0.1.0-lp156.19.1Miscellaneous Descriptive Functions
R-describer0.2.0-lp156.2.1Describe Data in R Using Common Descriptive Statistics
R-descriptio1.3-lp156.2.1Descriptive Statistical Analysis
R-DescriptiveRepresentationCalculator1.0.0-lp156.1.1Descriptive Representation Calculator: Characterizing Observ
R-DescriptiveStats.OBeu1.3.2-lp156.13.1Descriptive Statistics \'OpenBudgets.eu\'
R-DescriptiveWH1.0.3-lp156.1.1Descriptive statistics
R-descriptr0.5.2-lp156.17.1Generate Descriptive Statistics
R-descstat0.1.2-lp156.14.1Tools for descriptive statistics
R-descstatsr0.1.0-lp156.2.1Descriptive Univariate Statistics
R-Design.parameters0.1.0-lp156.1.1Parameters of the Experimental Designs
R-designGG1.1-lp156.2.1Computational tool for designing genetical genomics experime
R-designit0.5.0-lp156.2.1Blocking and Randomization for Experimental Design
R-designmatch0.4.1-lp156.1.1Matched Samples that are Balanced and Representative by Desi
R-designsize0.1.0-lp156.1.1Sample Size Calculation of Various Study Designs
R-desiR1.2.2-lp156.1.1Desirability Functions for Ranking, Selecting, and Integrati
R-desirability2.1-lp156.2.1Function Optimization and Ranking via Desirability Functions
R-desirability20.0.1-lp156.1.1Desirability Functions for Multiparameter Optimization
R-desire1.0.7-lp156.2.1Desirability functions in R
R-desk1.1.1-lp156.1.1Didactic Econometrics Starter Kit
R-DESnowball1.0-lp156.2.1Bagging with Distance-based Regression for Differential Gene
R-deSolve1.40-lp156.1.1Solvers for Initial Value Problems of Differential Equations
R-deSolve-devel1.40-lp156.1.1Development files for deSolve
R-desplot1.10-lp156.2.1Plotting Field Plans for Agricultural Experiments
R-DET3.0.1-lp156.1.1Representation of DET Curve with Confidence Intervals
R-detect0.4.6-lp156.1.1Analyzing Wildlife Data with Detection Error
R-detector0.1.0-lp156.7.1Detect Data Containing Personally Identifiable Information
R-detectors0.1.0-lp156.1.1Prediction Data from GPT Detectors
R-detectR0.3.0-lp156.2.1Change Point Detection
R-deTestSet1.1.7.4-lp156.1.1Test Set for Differential Equations
R-DetLifeInsurance0.1.3-lp156.2.1Life Insurance Premium and Reserves Valuation
R-detpack1.1.3-lp156.2.1Density Estimation and Random Number Generation with Distrib
R-detrendeR1.0.5-lp156.4.1A Graphical User Interface (GUI) to Visualize and Analyze De
R-deTS1.0-lp156.6.1Tissue-Specific Enrichment Analysis
R-DetSel1.0.4-lp156.2.1A Computer Program to Detect Markers Responding to Selection
R-devFunc0.1-lp156.7.1Clear and Condense Argument Check for User-Defined Functions
R-devoid0.1.2-lp156.1.1A Graphic Device that Does Nothing
R-Devore70.7.6-lp156.2.1Data sets from Devore\'s \"Prob and Stat for Eng (7th ed)\"
R-devRate0.2.4-lp156.1.1Quantify the Relationship Between Development Rate and Tempe
R-df2yaml0.3.1-lp156.2.1Convert Dataframe to \'YAML\'
R-DFA1.0.0-lp156.1.1Detrended Fluctuation Analysis
R-dfadjust1.0.5-lp156.1.1Degrees of Freedom Adjustment for Robust Standard Errors
R-DFBA0.1.0-lp156.1.1Distribution-Free Bayesian Analysis
R-dfCompare1.0.0-lp156.2.1Compare Two Dataframes and Return Adds, Changes, and Deletes
R-dfcrm0.2.2.1-lp156.2.1Dose-Finding by the Continual Reassessment Method
R-dfdr0.2.0-lp156.2.1Automatic Differentiation of Simple Functions
R-dfexpand0.0.2-lp156.2.1Automatically Expand Delimited Column Values into Multiple B
R-dfexplore0.2.1-lp156.9.1Explore data.frames by plotting NA and classes of each varia
R-dfoptim2023.1.0-lp156.1.1Derivative-Free Optimization
R-Dforest0.4.2-lp156.14.1Decision Forest
R-dformula1.0-lp156.1.1Data Manipulation using Formula
R-dfsaneacc1.0.3-lp156.2.1Accelerated Derivative-Free Method for Large-Scale Nonlinear
R-dfvad0.3.6-lp156.1.1Diewert and Fox\'s Method of Value Added Growth Decompositio
R-DGEobj1.1.2-lp156.4.1Differential Gene Expression (DGE) Analysis Results Data Obj
R-DGEobj.utils1.0.6-lp156.8.1Differential Gene Expression (DGE) Analysis Utility Toolkit
R-dglars2.1.7-lp156.1.1Differential Geometric Least Angle Regression
R-dglm1.8.6-lp156.1.1Double Generalized Linear Models
R-DGLMExtPois0.2.3-lp156.5.1Double Generalized Linear Models Extending Poisson Regressio
R-dgmb1.2-lp156.2.1Simulating Data for PLS Mode B Structural Models
R-dgodata0.0.2-lp156.2.1Data for the \'dgo\' Package
R-DHBins1.1-lp156.14.1Hexmaps for NZ District Health Boards
R-dhga0.1-lp156.2.1Differential Hub Gene Analysis
R-dhh0.0.1-lp156.2.1A Heavy-Headed Distribution
R-dhis2r0.1.1-lp156.1.1Client for the \'DHIS2\' Web API
R-dhReg0.1.1-lp156.10.1Dynamic Harmonic Regression
R-DHS.rates0.9.2-lp156.3.1Calculates Demographic Indicators
R-dhsage0.1.0-lp156.1.1Reproductive Age Female Data of Various Demographic Health S
R-di1.1.4-lp156.7.1Deficit Index (DI)
R-diagonals6.4.0-lp156.1.1Block Diagonal Extraction or Replacement
R-diagram1.6.5-lp156.2.1Functions for visualising simple graphs (networks), plotting
R-diaplt1.4.0-lp156.1.1Beads Summary Plot of Ranges
R-dibble0.2.2-lp156.5.1Dimensional Data Frames
R-dice1.2-lp156.2.1Calculate probabilities of various dice-rolling events
R-DiceDesign1.10-lp156.1.1Designs of Computer Experiments
R-DiceEval1.6.1-lp156.1.1Construction and Evaluation of Metamodels
R-DiceKriging1.6.0-lp156.1.1Kriging Methods for Computer Experiments
R-DiceOptim2.1.1-lp156.2.1Kriging-Based Optimization for Computer Experiments
R-DiceView2.2.0-lp156.1.1Methods for Visualization of Computer Experiments Design and
R-dichromat2.0.0.1-lp156.1.1Color schemes for dichromats
R-dicionariosIBGE1.6-lp156.2.1Dictionaries for reading microdata surveys from IBGE
R-DICOMread0.0.0.3-lp156.5.1Reading and Saving DICOM Image Files
R-DIconvex1.0.0-lp156.3.1Finding Patterns of Monotonicity and Convexity in Data
R-Dict0.1.0-lp156.14.1R6 Based Key-Value Dictionary Implementation
R-dictionar60.1.3-lp156.1.1R6 Dictionary Interface
R-dictionaRy0.1.1-lp156.5.1Retrieve the Dictionary Definitions of English Words
R-DidacticBoost0.1.1-lp156.2.1A Simple Implementation and Demonstration of Gradient Boosti
R-Diderot0.13-lp156.8.1Bibliographic Network Analysis
R-DiDforBigData1.0-lp156.1.1A Big Data Implementation of Difference-in-Differences Estim
R-DIDmultiplegt0.1.4-lp156.1.1Estimation in DID with Multiple Groups and Periods
R-didrooRFM1.0.0-lp156.13.1Compute Recency Frequency Monetary Scores for your Customer
R-dief1.2-lp156.14.1Metrics for Continuous Efficiency
R-dielectric0.2.3-lp156.2.1Defines some physical constants and dielectric functions com
R-diemr1.1.1-lp156.1.1Diagnostic Index Expectation Maximisation in R
R-diezeit0.1.0-lp156.2.1R Interface to the ZEIT ONLINE Content API
R-DIFboost0.3-lp156.3.1Detection of Differential Item Functioning (DIF) in Rasch Mo
R-difconet1.0.4-lp156.7.1Differential Coexpressed Networks
R-diffdepprop0.1.9-lp156.2.1Calculates Confidence Intervals for two Dependent Proportion
R-diffdf1.0.4-lp156.11.1Dataframe Difference Tool
R-diffdfs0.9.0-lp156.1.1Compute the Difference Between Data Frames
R-diffee1.1.0-lp156.7.1Fast and Scalable Learning of Sparse Changes in High-Dimensi
R-diffEnrich0.1.2-lp156.8.1Given a List of Gene Symbols, Performs Differential Enrichme
R-diffeR0.0.8-lp156.2.1Metrics of Difference for Comparing Pairs of Maps or Pairs o
R-diffIRT1.5-lp156.2.1Diffusion IRT Models for Response and Response Time Data
R-diffMeshGP0.1.0-lp156.2.1Multi-Fidelity Computer Experiments Using the Tuo-Wu-Yu Mode
R-DiffNet1.0.2-lp156.2.1Identifying Significant Node Scores using Network Diffusion
R-diffobj0.3.5-lp156.1.1Diffs for R Objects
R-diffpriv0.4.2-lp156.2.1Easy Differential Privacy
R-diffusionMap1.2.0-lp156.7.1Diffusion Map
R-diffval1.1.0-lp156.1.1Vegetation Patterns
R-DIFlasso1.0.4-lp156.3.1A Penalty Approach to Differential Item Functioning in Rasch
R-DIFtree3.1.6-lp156.3.1Item Focussed Trees for the Identification of Items in Diffe
R-digitalPCR1.1.0-lp156.2.1Estimate Copy Number for Digital PCR
R-digitize0.0.4-lp156.1.1Use Data from Published Plots in R
R-digitTests0.1.2-lp156.1.1Tests for Detecting Irregular Digit Patterns
R-DIGSS1.0.2-lp156.7.1Determination of Intervals Using Georeferenced Survey Simula
R-dilp1.1.0-lp156.2.1Reconstruct Paleoclimate and Paleoecology with Leaf Physiogn
R-DIME1.3.0-lp156.1.1Differential Identification using Mixture Ensemble
R-dimensionsR0.0.3-lp156.1.1Gathering Bibliographic Records from \'Digital Science Dimen
R-DImodels1.3.2-lp156.1.1Diversity-Interactions (DI) Models
R-DIMORA0.3.6-lp156.3.1Diffusion Models R Analysis
R-dimRed0.2.6-lp156.1.1A Framework for Dimensionality Reduction
R-dinamic1.0.1-lp156.2.1A Method to Analyze Recurrent DNA Copy Number Aberrations in
R-dineR1.0.1-lp156.5.1Differential Network Estimation in R
R-dint2.1.4-lp156.1.1A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Date
R-DiPhiSeq0.2.0-lp156.2.1Robust Tests for Differential Dispersion and Differential Ex
R-dipm1.9-lp156.3.1Depth Importance in Precision Medicine (DIPM) Method
R-DiPs0.6.4-lp156.2.1Directional Penalties for Optimal Matching in Observational
R-diptest0.77.1-lp156.2.1Hartigan\'s Dip Test Statistic for Unimodality - Corrected
R-DIRECT1.1.0-lp156.1.1Bayesian Clustering of Multivariate Data Under the Dirichlet
R-DirectedClustering0.1.1-lp156.7.1Directed Weighted Clustering Coefficient
R-directlabels2024.1.21-lp156.1.1Direct Labels for Multicolor Plots
R-DirectStandardisation1.3-lp156.2.1Adjusted Means and Proportions by Direct Standardisation
R-dirichletprocess0.4.2-lp156.1.1Build Dirichlet Process Objects for Bayesian Modelling
R-DirichletReg0.7.1-lp156.2.1Dirichlet Regression
R-dirmult0.1.3.5-lp156.1.1Estimation in Dirichlet-Multinomial Distribution
R-DirStats0.1.10-lp156.1.1Nonparametric Methods for Directional Data
R-DisaggregateTS2.0.0-lp156.1.1High-Dimensional Temporal Disaggregation
R-disastr.api1.0.6-lp156.2.1Wrapper for the UN OCHA ReliefWeb Disaster Events API
R-discFA1.0.1-lp156.1.1Discrete Factor Analysis
R-discfrail0.1-lp156.2.1Cox Models for Time-to-Event Data with Nonparametric Discret
R-discgolf0.2.0-lp156.2.1Discourse API Client
R-discharge1.0.0-lp156.13.1Fourier Analysis of Discharge Data
R-disclap1.5.1-lp156.1.1Discrete Laplace Exponential Family
R-discnorm0.2.1-lp156.5.1Test for Discretized Normality in Ordinal Data
R-disco0.6-lp156.10.1Discordance and Concordance of Transcriptomic Responses
R-discord1.1.0-lp156.1.1Functions for Discordant Kinship Modeling
R-discoverableresearch0.0.1-lp156.18.1Checks Title, Abstract and Keywords to Optimise Discoverabil
R-DiscreteDatasets0.1.1-lp156.2.1Example Data Sets for Use with Discrete Statistical Tests
R-DiscreteInverseWeibull1.0.2-lp156.2.1Discrete Inverse Weibull Distribution
R-DiscreteLaplace1.1.1-lp156.2.1Discrete Laplace Distributions
R-discreteMTP0.1.2-lp156.2.1Multiple testing procedures for discrete test statistics
R-DiscreteQvalue1.1-lp156.2.1Improved q-Values for Discrete Uniform and Homogeneous Tests
R-discreteRV1.2.2-lp156.3.1Create and Manipulate Discrete Random Variables
R-DiscreteWeibull1.1-lp156.2.1Discrete Weibull Distributions (Type 1 and 3)
R-discretization1.0.1.1-lp156.1.1Data Preprocessing, Discretization for Classification
R-DiscriMiner0.1.29-lp156.2.1Tools of the Trade for Discriminant Analysis
R-discSurv1.4.2-lp156.1.1Discrete Time Survival Analysis
R-disdat1.0.1-lp156.1.1Data for Comparing Species Distribution Modeling Methods
R-diseasemapping2.0.6-lp156.1.1Modelling Spatial Variation in Disease Risk for Areal Data
R-Disequilibrium1.1-lp156.3.1Disequilibrium Models
R-DisHet1.0.0-lp156.2.1Estimate the Gene Expression Levels and Component Proportion
R-DisimForMixed0.2-lp156.13.1Calculate Dissimilarity Matrix for Dataset with Mixed Attrib
R-DisImpact0.0.21-lp156.6.1Calculates Disproportionate Impact When Binary Success Data
R-diskImageR1.0.0-lp156.2.1A Pipeline to Analyze Resistance and Tolerance from Drug Dis
R-disordR0.9.8.2-lp156.1.1Non-Ordered Vectors
R-disparityfilter2.2.3-lp156.7.1Disparity Filter Algorithm for Weighted Networks
R-dispeRse1.1-lp156.2.1Simulation of Demic Diffusion with Environmental Constraints
R-displayHTS1.0-lp156.2.1displayHTS
R-dispmod1.2-lp156.2.1Modelling Dispersion in GLM
R-disposables1.0.3-lp156.2.1Create Disposable R Packages for Testing
R-dispositionEffect1.0.1-lp156.8.1Analysis of Disposition Effect on Financial Portfolios
R-disprofas0.2.0-lp156.1.1Non-Parametric Dissolution Profile Analysis
R-disprose0.1.6-lp156.1.1Discriminating Probes Selection
R-dissCqN0.1.0-lp156.1.1Multiple Assemblage Dissimilarity for Orders q = 0-N
R-dissUtils1.0-lp156.2.1Utilities for making pairwise comparisons of multivariate da
R-Distance1.0.9-lp156.2.1Distance Sampling Detection Function and Abundance Estimatio
R-distance.sample.size0.0-lp156.2.1Calculates Study Size Required for Distance Sampling
R-distantia1.0.2-lp156.13.1Assessing Dissimilarity Between Multivariate Time Series
R-distcrete1.0.3-lp156.2.1Discrete Distribution Approximations
R-distdrawr0.1.3-lp156.2.1Download Occurrence Data of Vascular Plants in Germany from
R-distfree.cr1.5.1-lp156.2.1Distribution-Free Confidence Region
R-distillery1.2.1-lp156.1.1Method Functions for Confidence Intervals and to Distill Inf
R-distinctiveness1.0.1-lp156.2.1Distinctiveness Centrality
R-distrDoc2.8.2-lp156.1.1Documentation for \'distr\' Family of R Packages
R-DISTRIB1.0-lp156.2.1Four Essential Functions for Statistical Distributions Analy
R-distribglm0.4.1-lp156.4.1Distributed Generalized Linear Models
R-Distributacalcul0.4.0-lp156.1.1Probability Distribution Functions
R-DistributionFitR0.1-lp156.6.1Fitting Multiple Parametric Distributions
R-distributionsrd0.0.6-lp156.4.1Distribution Fitting and Evaluation
R-DistributionTest1.1-lp156.2.1Powerful Goodness-of-Fit Tests Based on the Likelihood Ratio
R-DistributionUtils0.6.1-lp156.1.1Distribution utilities
R-distro0.1.0-lp156.2.1Linux Distribution Properties
R-distrom1.0.1-lp156.1.1Distributed Multinomial Regression
R-distrr0.0.6-lp156.15.1Estimate and Manage Empirical Distributions
R-distrRmetrics2.8.2-lp156.1.1Distribution Classes for Distributions from Rmetrics
R-distrTeach2.9.1-lp156.1.1Extensions of Package \'distr\' for Teaching Stochastics/Sta
R-distrTEst2.8.2-lp156.1.1Estimation and Testing Classes Based on Package \'distr\'
R-distTails0.1.2-lp156.2.1A Collection of Full Defined Distribution Tails
R-disttools0.1.8-lp156.1.1Distance Object Manipulation Tools
R-dittodb0.1.8-lp156.2.1A Test Environment for Database Requests
R-dittoViz1.0.1-lp156.1.1User Friendly Data Visualization
R-divagis1.0.0-lp156.2.1Provides tools for quality checks of georeferenced plant spe
R-DivE1.3-lp156.1.1Diversity Estimator
R-diverge2.0.6-lp156.2.1Evolutionary Trait Divergence Between Sister Species and Oth
R-diverse0.1.5-lp156.6.1Diversity Measures for Complex Systems
R-DiversificationR0.1.0-lp156.1.1Econometric Tools to Measure Portfolio Diversification
R-divo1.0.1-lp156.2.1Tools for Analysis of Diversity and Similarity in Biological
R-divvy1.0.0-lp156.1.1Spatial Subsampling of Biodiversity Occurrence Data
R-dixonTest1.0.4-lp156.1.1Dixon\'s Ratio Test for Outlier Detection
R-diyar0.5.1-lp156.1.1Record Linkage and Epidemiological Case Definitions in \'R\'
R-DIZtools1.0.1-lp156.1.1Lightweight Utilities for \'DIZ\' R Package Development
R-dkanr0.1.3-lp156.16.1Client for the \'DKAN\' API
R-dkDNA0.1.1-lp156.2.1Diffusion Kernels on a Set of Genotypes
R-DLASSO2.0.2-lp156.2.1Implementation of Adaptive or Non-Adaptive Differentiable La
R-DLEGFM0.4.0-lp156.1.1Distributed Loading Estimation for General Factor Model
R-dlib1.0.3.1-lp156.3.1Allow Access to the \'Dlib\' C++ Library
R-dlib-devel1.0.3.1-lp156.3.1Development files for Dlib
R-dlim0.1.0-lp156.2.1Distributed Lag Interaction Model
R-dlnm2.4.7-lp156.1.1Distributed Lag Non-Linear Models
R-DLPCA0.0.5-lp156.1.1The Distributed Local PCA Algorithm
R-dlr1.0.1-lp156.2.1Download and Cache Files Safely
R-DLSSM0.1.0-lp156.2.1Dynamic Logistic State Space Prediction Model
R-dlstats0.1.7-lp156.1.1Download Stats of R Packages
R-dm1.0.10-lp156.1.1Relational Data Models
R-dma1.4.0-lp156.2.1Dynamic Model Averaging
R-dmai0.5.0-lp156.2.1Divisia Monetary Aggregates Index
R-dmetatools1.1.1-lp156.1.1Computational Tools for Meta-Analysis of Diagnostic Accuracy
R-DMLLZU0.1.1-lp156.16.1Double Machine Learning
R-dmm2.1.10-lp156.2.1Dyadic Mixed Model for Pedigree Data
R-DMMF0.5.2.0-lp156.2.1Daily Based Morgan-Morgan-Finney (DMMF) Soil Erosion Model
R-dMod1.0.2-lp156.15.1Dynamic Modeling and Parameter Estimation in ODE Models
R-dmt0.8.20-lp156.2.1Dependency Modeling Toolkit
R-DMtest1.0.0-lp156.1.1Differential Methylation Tests (DMtest)
R-dmtools0.2.6-lp156.22.1Tools for Clinical Data Management
R-dmutate0.1.3-lp156.8.1Mutate Data Frames with Random Variates
R-DMwR0.4.1-lp156.2.1Functions and data for \"Data Mining with R\"
R-DMwR20.0.2-lp156.14.1Functions and Data for the Second Edition of \"Data Mining w
R-DNAseqtest1.0-lp156.2.1Generating and Testing DNA Sequences
R-dndR2.0.0-lp156.2.1Dungeons & Dragons Functions for Players and Dungeon Masters
R-DnE2.1.0-lp156.2.1Distribution and Equation
R-DNetFinder1.1-lp156.5.1Estimating Differential Networks under Semiparametric Gaussi
R-DNH40.1.12-lp156.7.1Crawling for Daum News Text
R-DNMF1.3-lp156.3.1Discriminant Non-Negative Matrix Factorization
R-DOBAD1.0.6-lp156.2.1Analysis of Discretely Observed Linear Birth-and-Death(-and-
R-dobson0.4-lp156.2.1Data from the GLM Book by Dobson and Barnett
R-DockerParallel1.0.4-lp156.1.1Using the Docker Container to Create R Workers on Local or C
R-docopt0.7.1-lp156.2.1Command-Line Interface Specification Language
R-docopulae0.4.0-lp156.2.1Optimal Designs for Copula Models
R-docore1.0-lp156.1.1Utility Functions for Scientific Coding
R-documair0.6.0-lp156.2.1Automatic Documentation for R packages
R-docuSignr0.0.3-lp156.2.1Connect to \'DocuSign\' API
R-docxtools0.3.0-lp156.4.1Tools for R Markdown to Docx Documents
R-docxtractr0.6.5-lp156.15.1Extract Data Tables and Comments from \'Microsoft\' \'Word\'
R-Dodge0.9.2-lp156.2.1Acceptance Sampling Ideas Originated by H.F. Dodge
R-DoE.base1.2.4-lp156.1.1Full factorials, orthogonal arrays and base utilities for Do
R-DoE.MIParray1.0.1-lp156.1.1Creation of Arrays by Mixed Integer Programming
R-DoE.multi.response0.1.0-lp156.5.1Construct Multi-Response Experimental Designs
R-DoE.wrapper0.12-lp156.2.1Wrapper package for design of experiments functionality
R-doebioresearch0.1.0-lp156.23.1Analysis of Design of Experiments for Biological Research
R-DOEM0.0.0.1-lp156.1.1The Distributed Online Expectation Maximization Algorithms t
R-DoEstRare0.2-lp156.2.1Rare Variant Association Test Based on Position Density Esti
R-doex1.2-lp156.2.1The One-Way Heteroscedastic ANOVA Tests
R-doFuture1.0.1-lp156.1.1Use Foreach to Parallelize via the Future Framework
R-dogesr0.1.0-lp156.2.1Work with the Doges/Dogaresse Dataset
R-doMC1.3.8-lp156.1.1Foreach Parallel Adaptor for \'parallel\'
R-Dominance1.2.0-lp156.1.1Calculate and Visualize Dominance Hierarchies
R-dominanceanalysis2.1.0-lp156.1.1Dominance Analysis
R-domino0.3.1-lp156.2.1R Console Bindings for the \'Domino Command-Line Client\'
R-DominoDataCapture0.1.1-lp156.1.1Domino Data Capture
R-DominoPredictionLogging0.1.0-lp156.1.1Domino Prediction Logging
R-domir1.2.0-lp156.2.1Tools to Support Relative Importance Analysis
R-donut1.0.3-lp156.1.1Nearest Neighbour Search with Variables on a Torus
R-donutsk0.1.1-lp156.2.1Construct Advanced Donut Charts
R-doParallel1.0.17-lp156.1.1Foreach Parallel Adaptor for the \'parallel\' Package
R-DOPE2.1.0-lp156.12.1Drug Ontology Parsing Engine
R-doRNG1.8.6-lp156.1.1Generic Reproducible Parallel Backend for \'foreach\' Loops
R-DOS1.0.0-lp156.2.1Design of Observational Studies
R-DOS20.5.2-lp156.2.1Design of Observational Studies, Companion to the Second Edi
R-doseminer0.1.2-lp156.5.1Extract Drug Dosages from Free-Text Prescriptions
R-doseSens0.1.0-lp156.1.1Conduct Sensitivity Analysis with Continuous Exposures and B
R-doSNOW1.0.20-lp156.1.1Foreach Parallel Adaptor for the \'snow\' Package
R-DOSPortfolio0.1.0-lp156.1.1Dynamic Optimal Shrinkage Portfolio
R-dosresmeta2.0.1-lp156.2.1Multivariate Dose-Response Meta-Analysis
R-dostats1.3.3-lp156.1.1Compute Statistics Helper Functions
R-DoTC0.2-lp156.12.1Distribution of Typicality Coefficients
R-dotdot0.1.0-lp156.2.1Enhanced Assignment Operator to Overwrite or Grow Objects
R-dotenv1.0.3-lp156.1.1Load Environment Variables from \'.env\'
R-dotgen0.1.0-lp156.2.1Gene-Set Analysis via Decorrelation by Orthogonal Transforma
R-dotprofile0.0.1-lp156.2.1Create and Manage Configuration Profiles
R-dotsViolin0.0.1-lp156.2.1Dot Plots Mimicking Violin Plots
R-doubcens1.1-lp156.2.1Survivor Function Estimation for Doubly Interval-Censored Fa
R-double.truncation1.7-lp156.2.1Analysis of Doubly-Truncated Data
R-DoubleExpSeq1.1-lp156.2.1Differential Exon Usage Test for RNA-Seq Data via Empirical
R-doubt0.1.0-lp156.2.1Enable Operators Containing the \'?\' Symbol
R-DOvalidation1.1.0-lp156.2.1Kernel Hazard Estimation with Best One-Sided and Double One-
R-Dowd0.12-lp156.16.1Functions Ported from \'MMR2\' Toolbox Offered in Kevin Dowd
R-downlit0.4.4-lp156.1.1Syntax Highlighting and Automatic Linking
R-downloader0.4-lp156.2.1Download Files over HTTP and HTTPS
R-downsize0.2.3-lp156.1.1A Tool to Downsize Large Analysis Projects for Testing
R-dparser1.3.1.11-lp156.1.1Port of \'Dparser\' Package
R-dplbnDE0.1.3-lp156.1.1Discriminative Parameter Learning of Bayesian Networks by Di
R-dplR1.7.7-lp156.1.1Dendrochronology Program Library in R
R-dplRCon1.0-lp156.2.1Concordance for Dendroclimatology
R-dplyr1.1.4-lp156.1.1A Grammar of Data Manipulation
R-dplyr.teradata0.4.1-lp156.3.1A \'Teradata\' Backend for \'dplyr\'
R-dppmix0.1.1-lp156.2.1Determinantal Point Process Mixture Models
R-dprint0.0.4-lp156.2.1Print Tabular Data to Graphics Device
R-dprop0.1.0-lp156.1.1Computation of Some Important Distributional Properties
R-dQTG.seq1.0.2-lp156.2.1A BSA Software for Detecting All Types of QTLs in BC, DH, RI
R-dr3.0.10-lp156.3.1Methods for dimension reduction for regression
R-dr4pl2.0.0-lp156.7.1Dose Response Data Analysis using the 4 Parameter Logistic (
R-dragonking0.1.0-lp156.2.1Statistical Tools to Identify Dragon Kings
R-dragracer0.1.7-lp156.1.1Data Sets for RuPaul\'s Drag Race
R-drake7.13.10-lp156.2.1A Pipeline Toolkit for Reproducible Computation at Scale
R-DramaAnalysis3.0.2-lp156.13.1Analysis of Dramatic Texts
R-drape0.0.1-lp156.1.1Doubly Robust Average Partial Effects
R-drat0.2.4-lp156.1.1\'Drat\' R Archive Template
R-draw1.0.0-lp156.2.1Wrapper Functions for Producing Graphics
R-DRaWR1.0.3-lp156.1.1Discriminative Random Walk with Restart
R-drawsample0.1.1-lp156.4.1Draw Samples with the Desired Properties from a Data Set
R-DRAYL1.0-lp156.3.1Computation of Rayleigh Densities of Arbitrary Dimension
R-DRDRtest0.1-lp156.1.1A Nonparametric Doubly Robust Test for Continuous Treatment
R-dreamerr1.4.0-lp156.1.1Error Handling Made Easy
R-DREGAR0.1.3.0-lp156.2.1Regularized Estimation of Dynamic Linear Regression in the P
R-DRHotNet2.3-lp156.2.1Differential Risk Hotspots in a Linear Network
R-drifter0.2.1-lp156.17.1Concept Drift and Concept Shift Detection for Predictive Mod
R-DrillR0.1-lp156.2.1R Driver for Apache Drill
R-DRIP2.0-lp156.2.1Discontinuous Regression and Image Processing
R-drmdel1.3.2-lp156.1.1Dual Empirical Likelihood Inference under Density Ratio Mode
R-droll0.1.0-lp156.2.1Analyze Roll Distributions
R-droptest0.1.3-lp156.2.1Simulates LOX Drop Testing
R-drord1.0.1-lp156.7.1Doubly-Robust Estimators for Ordinal Outcomes
R-drought1.2-lp156.2.1Statistical Modeling and Assessment of Drought
R-DRR0.0.4-lp156.2.1Dimensionality Reduction via Regression
R-drughelper0.2.0-lp156.1.1Drug Identification and Drug Name Correction with Automatic
R-drumr0.1.0-lp156.7.1Turn R into a Drum Machine
R-ds4.0-lp156.2.1Descriptive statistics
R-ds4psy1.0.0-lp156.1.1Data Science for Psychologists
R-dsample0.91.3.4-lp156.1.1Discretization-Based Direct Random Sample Generation
R-DSBayes2023.1.0-lp156.1.1Bayesian Subgroup Analysis in Clinical Trials
R-dsdp0.1.1-lp156.1.1Density Estimation with Semidefinite Programming
R-dse2020.2.1-lp156.2.1Dynamic Systems Estimation (Time Series Package)
R-DSjobtracker2.0.0-lp156.1.1What Skills and Qualifications are Required for Data Science
R-DSL0.1.7-lp156.2.1Distributed Storage and List
R-dslabs0.8.0-lp156.2.1Data Science Labs
R-dsm2.3.3-lp156.9.1Density Surface Modelling of Distance Sampling Data
R-dsos0.1.2-lp156.1.1Dataset Shift with Outlier Scores
R-DSpat0.1.6-lp156.2.1Spatial Modelling for Distance Sampling Data
R-DSpoty0.1.0-lp156.17.1Get \'Spotify\' API Multiple Information
R-DSSAT0.0.9-lp156.1.1A Comprehensive R Interface for the DSSAT Cropping Systems M
R-DSsim1.1.5-lp156.6.1Distance Sampling Simulations
R-dstabledist0.1.0-lp156.1.1The Discrete Stable Distribution Functions
R-dstack0.2.1-lp156.2.1Publishing Interactive Plots
R-dstat1.0.4-lp156.2.1Conditional Sensitivity Analysis for Matched Observational S
R-dstat2x2xk0.2.0-lp156.1.1Demonstrated Insensitivity to Bias in 2x2xK Contingency Tabl
R-dSTEM2.0.1-lp156.1.1Multiple Testing of Local Extrema for Detection of Change Po
R-DSviaDRM1.0-lp156.2.1Exploring Disease Similarity in Terms of Dysfunctional Regul
R-dtangle2.0.9-lp156.2.1Cell Type Deconvolution from Gene Expressions
R-DTAplots1.0.2.5-lp156.1.1Creates Plots Accompanying Bayesian Diagnostic Test Accuracy
R-DTAXG0.1.0-lp156.2.1Diagnostic Test Assessment in the Absence of Gold Standard
R-DTComPair1.2.4-lp156.2.1Comparison of Binary Diagnostic Tests in a Paired Study Desi
R-DTDA3.0.1-lp156.1.1Doubly Truncated Data Analysis
R-DTDA.ni1.0.1-lp156.1.1Doubly Truncated Data Analysis, Non Iterative
R-dtgiw1.0.0-lp156.1.1Discrete Transmuted Generalized Inverse Weibull Distribution
R-DTK3.5-lp156.2.1Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjus
R-DTMCPack0.1.3-lp156.1.1Suite of Functions Related to Discrete-Time Discrete-State M
R-dtp0.1.0-lp156.3.1Dynamic Panel Threshold Model
R-dtpcrm0.1.1-lp156.2.1Dose Transition Pathways for Continual Reassessment Method
R-dtplyr1.3.1-lp156.1.1Data Table Back-End for \'dplyr\'
R-DTR1.7-lp156.14.1Estimation and Comparison of Dynamic Treatment Regimes
R-dtree0.4.2-lp156.14.1Decision Trees
R-DTRreg2.2-lp156.2.1DTR Estimation and Inference via G-Estimation, Dynamic WOLS,
R-dtrSurv1.4-lp156.1.1Dynamic Treatment Regimes for Survival Analysis
R-DTSg1.1.3-lp156.1.1A Class for Working with Time Series Data Based on \'data.ta
R-dtt0.1.2-lp156.2.1Discrete Trigonometric Transforms
R-dtw1.22.3-lp156.2.1Dynamic time warping algorithms
R-DTWBI1.1-lp156.3.1Imputation of Time Series Based on Dynamic Time Warping
R-DTwrappers0.0.2-lp156.1.1Simplified Data Analysis with Wrapper Functions for the \'Da
R-DTwrappers20.0.3-lp156.1.1Extensions of \'DTwrappers\'
R-dtwSat1.0.0-lp156.1.1Time-Weighted Dynamic Time Warping for Satellite Image Time
R-DTWUMI1.0-lp156.3.1Imputation of Multivariate Time Series Based on Dynamic Time
R-dual0.0.5-lp156.1.1Automatic Differentiation with Dual Numbers
R-dual.spls0.1.4-lp156.1.1Dual Sparse Partial Least Squares Regression
R-dualScale1.0.0-lp156.1.1Dual Scaling Analysis of Data
R-dualtrees0.1.5-lp156.1.1Decimated and Undecimated 2D Complex Dual-Tree Wavelet Trans
R-duawranglr0.6.7-lp156.12.1Securely Wrangle Dataset According to Data Usage Agreement
R-dub0.2.0-lp156.2.1Unpacking Assignment for Lists via Pattern Matching
R-duckduckr1.0.0-lp156.3.1Simple Client for the DuckDuckGo Instant Answer API
R-duke0.0.3-lp156.1.1Creating a Color-Blind Friendly Duke Color Package
R-dummies1.5.6-lp156.2.1Create dummy/indicator variables flexibly and efficiently
R-dummy0.1.3-lp156.2.1Automatic Creation of Dummies with Support for Predictive Mo
R-dundermifflin0.1.1-lp156.6.1The Office Quotes on-Demand
R-dunlin0.1.7-lp156.2.1Preprocessing Tools for Clinical Trial Data
R-dunn.test1.3.6-lp156.2.1Dunn\'s Test of Multiple Comparisons Using Rank Sums
R-DunnettTests2.0-lp156.2.1Software implementation of step-down and step-up Dunnett tes
R-dupiR1.2.1-lp156.2.1Bayesian Inference from Count Data using Discrete Uniform Pr
R-dupNodes0.3.0-lp156.2.1Computes DNSLbetweenness, a Betweenness Measure that Include
R-Durga2.0-lp156.1.1Effect Size Estimation and Visualisation
R-dvqcc0.1.0-lp156.18.1Dynamic VAR - Based Control Charts for Batch Process Monitor
R-dwctaxon2.0.3-lp156.2.1Edit and Validate Darwin Core Taxon Data
R-dwdradar0.2.10-lp156.1.1Read Binary Radar Files from \'DWD\' (German Weather Service
R-dwlm0.1.0-lp156.2.1Doubly Weighted Linear Model
R-DWreg2.0-lp156.20.1Parametric Regression for Discrete Response
R-dyads1.1.2-lp156.1.1Dyadic Network Analysis
R-dydea0.1.0-lp156.2.1Detection of Chaotic and Regular Intervals in the Data
R-Dykstra1.0.0-lp156.2.1Quadratic Programming using Cyclic Projections
R-DYM0.2-lp156.2.1Did You Mean?
R-DyMEP0.1.2-lp156.2.1Dynamic Multi Environment Phenology-Model
R-dyn0.2.9.6-lp156.2.1Time Series Regression
R-dyn.log0.4.0-lp156.4.1Dynamic Logging for R Inspired by Configuration Driven Devel
R-dynamac0.1.12-lp156.1.1Dynamic Simulation and Testing for Single-Equation ARDL Mode
R-DynamicDistribution1.1-lp156.2.1Dynamically visualized probability distributions and their m
R-DynamicGP1.1.9-lp156.2.1Modelling and Analysis of Dynamic Computer Experiments
R-dynamicTreeCut1.63.1-lp156.2.1Methods for Detection of Clusters in Hierarchical Clustering
R-DynaRankR1.1.0-lp156.13.1Inferring Longitudinal Dominance Hierarchies
R-dynatopGIS0.2.5-lp156.2.1Algorithms for Helping Build Dynamic TOPMODEL Implementation
R-dynatopmodel1.2.1-lp156.2.1Implementation of the Dynamic TOPMODEL Hydrological Model
R-dynBiplotGUI1.1.6-lp156.2.1Full Interactive GUI for Dynamic Biplot in R
R-DynClust3.24-lp156.1.1Denoising and Clustering for Dynamical Image Sequence (2D or
R-dyncomp0.0.2.1-lp156.2.1Complexity of Short and Coarse-Grained Time Series
R-dynCorr1.1.0-lp156.2.1Dynamic Correlation Package
R-dyndimred1.0.4-lp156.10.1Dimensionality Reduction Methods in a Common Format
R-dynetNLAResistance0.1.0-lp156.7.1Resisting Neighbor Label Attack in a Dynamic Network
R-dynia0.2-lp156.2.1Fit Dynamic Intervention Model
R-dynpanel0.1.0-lp156.2.1Dynamic Panel Data Models
R-dynparam1.0.2-lp156.17.1Creating Meta-Information for Parameters
R-dynpred0.1.2-lp156.2.1Companion Package to \"Dynamic Prediction in Clinical Surviv
R-dynprog0.1.1-lp156.3.1Dynamic Programming Domain-Specific Language
R-dynRB0.18-lp156.4.1Dynamic Range Boxes
R-dynsim1.2.3-lp156.7.1Dynamic Simulations of Autoregressive Relationships
R-dyntaper1.1-lp156.1.1Dynamic Stem Profile Models, AKA Tree Taper Equations
R-DynTxRegime4.15-lp156.1.1Methods for Estimating Optimal Dynamic Treatment Regimes
R-dynwrap1.2.4-lp156.5.1Representing and Inferring Single-Cell Trajectories
R-DysPIAData0.1.2-lp156.1.1Background and Pathway Data Used in \'DysPIA\'
R-eadrm0.1.4-lp156.1.1Fitting Dose-Response Models Using an Evolutionary Algorithm
R-earlygating1.1-lp156.1.1Properties of Bayesian Early Gating Designs
R-earthdatalogin0.0.2-lp156.1.1NASA \'EarthData\' Login Utilities
R-earthtones0.1.1-lp156.21.1Derive a Color Palette from a Particular Location on Earth
R-easy.utils0.0.4-lp156.2.1Frequently Used Functions for Easy R Programming
R-easyAHP0.1.1-lp156.2.1Analytic Hierarchy Process (AHP)
R-easycensus1.1.1-lp156.2.1Quickly Find, Extract, and Marginalize U.S. Census Tables
R-easyclimate0.2.1-lp156.2.1Easy Access to High-Resolution Daily Climate Data for Europe
R-easycsv1.0.8-lp156.2.1Load Multiple \'csv\' and \'txt\' Tables
R-easyNCDF0.1.2-lp156.1.1Tools to Easily Read/Write NetCDF Files into/from Multidimen
R-easynls5.0-lp156.2.1Easy Nonlinear Model
R-easypower1.0.2-lp156.2.1Sample Size Estimation for Experimental Designs
R-easyPSID0.1.2-lp156.4.1Reading, Formatting, and Organizing the Panel Study of Incom
R-easyPubMed2.13-lp156.2.1Search and Retrieve Scientific Publication Records from PubM
R-easyreg4.0-lp156.2.1Easy Regression
R-easySVG0.1.0-lp156.2.1An Easy SVG Basic Elements Generator
R-eat0.1.4-lp156.4.1Efficiency Analysis Trees
R-eatATA1.1.2-lp156.1.1Create Constraints for Small Test Assembly Problems
R-eatDB0.5.0-lp156.6.1Spreadsheet Interface for Relational Databases
R-EATME0.1.0-lp156.8.1Exponentially Weighted Moving Average with Adjustments to Me
R-eba1.10.0-lp156.3.1Elimination-by-Aspects Models
R-ebal0.1.8-lp156.1.1Entropy Reweighting to Create Balanced Samples
R-EBASS0.1-lp156.2.1Sample Size Calculation Method for Cost-Effectiveness Studie
R-EbayesThresh1.4.12-lp156.2.1Empirical Bayes thresholding and related methods
R-EBCHS0.1.0-lp156.9.1An Empirical Bayes Method for Chi-Squared Data
R-ebci1.0.0-lp156.1.1Robust Empirical Bayes Confidence Intervals
R-ebdbNet1.2.8-lp156.2.1Empirical Bayes Estimation of Dynamic Bayesian Networks
R-EBEN5.1-lp156.1.1Empirical Bayesian Elastic Net
R-ebGenotyping2.0.1-lp156.2.1Genotyping and SNP Detection using Next Generation Sequencin
R-EBglmnet6.0-lp156.1.1Empirical Bayesian Lasso and Elastic Net Methods for General
R-ebirdst3.2022.3-lp156.2.1Access and Analyze eBird Status and Trends Data Products
R-ebnm1.1.2-lp156.1.1Solve the Empirical Bayes Normal Means Problem
R-EBPRS2.1.0-lp156.2.1Derive Polygenic Risk Score Based on Emprical Bayes Theory
R-EBrank1.0.0-lp156.2.1Empirical Bayes Ranking
R-ebreg0.1.3-lp156.1.1Implementation of the Empirical Bayes Method
R-ebSNP1.0-lp156.2.1Genotyping and SNP calling using single-sample next generati
R-ecan0.2.1-lp156.2.1Ecological Analysis and Visualization
R-ecap0.1.2-lp156.9.1Excess Certainty Adjusted Probability Estimate
R-eCAR0.1.2-lp156.1.1Eigenvalue CAR Models
R-ecb0.4.2-lp156.2.1Programmatic Access to the European Central Bank\'s Statisti
R-Ecdat0.4.2-lp156.6.1Data sets for econometrics
R-Ecfun0.3.2-lp156.6.1Functions for \'Ecdat\'
R-ech0.1.3-lp156.2.1Downloading and Processing Microdata from ECH-INE (Uruguay)
R-ECharts2Shiny0.2.13-lp156.13.1Embedding Interactive Charts Generated with ECharts Library
R-echelon0.2.0-lp156.1.1The Echelon Analysis and the Detection of Spatial Clusters u
R-eChem1.0.0-lp156.2.1Simulations for Electrochemistry Experiments
R-echo0.1.0-lp156.1.1Echo Code Evaluations
R-echo.find4.0.1-lp156.2.1Finding Rhythms Using Extended Circadian Harmonic Oscillator
R-echogram0.1.2-lp156.4.1Echogram Visualisation and Analysis
R-echor0.1.9-lp156.2.1Access EPA \'ECHO\' Data
R-ecipex1.1-lp156.2.1Efficient Calculation of Fine Structure Isotope Patterns via
R-ECLRMC1.0-lp156.2.1Ensemble Correlation-Based Low-Rank Matrix Completion
R-eco4.0.3-lp156.1.1Ecological Inference in 2x2 Tables
R-ecodist2.1.3-lp156.2.1Dissimilarity-based functions for ecological analysis
R-Ecohydmod1.0.0-lp156.2.1Ecohydrological Modelling
R-EcoHydRology0.4.12.1-lp156.3.1A Community Modeling Foundation for Eco-Hydrology
R-EcoIndR2.0-lp156.1.1Ecological Indicators
R-ECoL0.3.0-lp156.8.1Complexity Measures for Supervised Problems
R-ecolMod1.2.6.4-lp156.1.1\"A Practical Guide to Ecological Modelling - Using R as a S
R-ecolRxC0.1.1.10-lp156.1.1Ecological Inference of RxC Tables by Latent Structure Appro
R-ecolTest0.0.1-lp156.1.1Community Ecology Tests
R-EconAndProdEfficiency0.1.0-lp156.2.1Economic and Production Efficiency
R-EconDemand1.0-lp156.2.1General Analysis of Various Economics Demand Systems
R-econet1.0.0-lp156.1.1Estimation of Parameter-Dependent Network Centrality Measure
R-EcoNetGen0.2.4-lp156.2.1Simulate and Sample from Ecological Interaction Networks
R-EconGeo2.0-lp156.1.1Computing Key Indicators of the Spatial Distribution of Econ
R-economiccomplexity1.5.0-lp156.3.1Computational Methods for Economic Complexity
R-econullnetr0.2.1-lp156.14.1Null Model Analysis for Ecological Networks
R-ecos0.1.6-lp156.1.1Economic Statistics System of the Bank of Korea
R-ecoseries0.1.5-lp156.3.1An R Interface to Brazilian Central Bank and Sidra APIs and
R-ecosim1.3.4-lp156.1.1Toolbox for Aquatic Ecosystem Modeling
R-EcoSimR0.1.0-lp156.2.1Null Model Analysis for Ecological Data
R-ECOSolveR0.5.5-lp156.1.1Embedded Conic Solver in R
R-ecospace1.4.2-lp156.7.1Simulating Community Assembly and Ecological Diversification
R-ecostats0.1.4-lp156.9.1Code and Data Accompanying the Eco-Stats Text
R-ecostatscale1.1-lp156.1.1Statistical Scaling Functions for Ecological Systems
R-ecotox1.4.4-lp156.6.1Analysis of Ecotoxicology
R-ecotoxicology1.0.1-lp156.2.1Methods for Ecotoxicology
R-EcoTroph1.6.1-lp156.1.1An Implementation of the EcoTroph Ecosystem Modelling Approa
R-ecoval1.2.9-lp156.1.1Procedures for Ecological Assessment of Surface Waters
R-EcoVirtual1.1-lp156.2.1Simulation of Ecological Models
R-ECTSVR0.1.0-lp156.1.1Cointegration Based Support Vector Regression Model
R-ECTTDNN0.1.0-lp156.13.1Cointegration Based Timedelay Neural Network Model
R-eCV0.0.2-lp156.1.1Enhanced Coefficient of Variation and IDR Extensions for Rep
R-ed500.1.1-lp156.2.1Estimate ED50 and Its Confidence Interval
R-ed50simulation0.1.1-lp156.2.1Estimate ED50 and Its Confidence Interval
R-EDA1.3-lp156.14.1Energy Decomposition Analysis
R-edbuildr0.3.0-lp156.4.1Automated School District Data Download and Processing
R-edcc1.0.0-lp156.2.1Economic Design of Control Charts
R-edci1.1.3-lp156.2.1Edge Detection and Clustering in Images
R-EDCimport0.4.1-lp156.3.1Import Data from EDC Software
R-edcpR1.0.1-lp156.1.1Ecological Data Collection and Processing Package
R-eddi0.0.1-lp156.3.1Get Evaporative Demand Drought Index Raster Data
R-edeaR0.9.4-lp156.4.1Exploratory and Descriptive Event-Based Data Analysis
R-edecob1.2.2-lp156.2.1Event Detection Using Confidence Bounds
R-edf1.0.0-lp156.2.1Read Data from European Data Format (EDF and EDF+) Files
R-EDFIR1.0-lp156.2.1Estimating Discrimination Factors
R-edfReader1.2.1-lp156.2.1Reading EDF(+) and BDF(+) Files
R-EDFtest0.1.0-lp156.1.1Goodness of Fit Based on Empirical Distribution Function
R-edfun0.2.0-lp156.2.1Creating Empirical Distribution Functions
R-edgar2.0.7-lp156.2.1Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corpora
R-edgarWebR1.1.0-lp156.2.1SEC Filings Access
R-edgeCorr1.0-lp156.2.1Spatial Edge Correction
R-edgedata0.2.0-lp156.1.1Datasets that Support the EDGE Server DIY Logic
R-EDISON1.1.1-lp156.2.1Network Reconstruction and Changepoint Detection
R-editrules2.9.5-lp156.2.1Parsing, Applying, and Manipulating Data Cleaning Rules
R-EDIutils1.0.3-lp156.2.1An API Client for the Environmental Data Initiative Reposito
R-edl1.1-lp156.1.1Toolbox for Error-Driven Learning Simulations with Two-Layer
R-edmcr0.2.0-lp156.15.1Euclidean Distance Matrix Completion Tools
R-EDMeasure1.2.0-lp156.4.1Energy-Based Dependence Measures
R-EDNE.EQ1.0-lp156.2.1Implements the EDNE-Test for Equivalence
R-EDOIF0.1.3-lp156.9.1Empirical Distribution Ordering Inference Framework (EDOIF)
R-educationdata0.1.3-lp156.4.1Retrieve Records from the Urban Institute\'s Education Data
R-educineq0.1.0-lp156.10.1Compute and Decompose Inequality in Education
R-edwards970.1.1-lp156.7.1Langmuir Semi-Empirical Coagulation Model
R-eegkitdata1.1-lp156.1.1Electroencephalography Toolkit Datasets
R-EEM1.1.1-lp156.15.1Read and Preprocess Fluorescence Excitation-Emission Matrix
R-eemdARIMA0.1.0-lp156.2.1EEMD Based Auto Regressive Integrated Moving Average Model
R-EEMDSVR0.1.0-lp156.1.1Ensemble Empirical Mode Decomposition and Its Variant Based
R-eemdTDNN0.1.0-lp156.2.1EEMD and Its Variant Based Time Delay Neural Network Model
R-eemR1.0.1-lp156.19.1Tools for Pre-Processing Emission-Excitation-Matrix (EEM) Fl
R-eesim0.1.0-lp156.20.1Simulate and Evaluate Time Series for Environmental Epidemio
R-EESPCA0.7.0-lp156.1.1Eigenvectors from Eigenvalues Sparse Principal Component Ana
R-EFA.MRFA1.1.2-lp156.9.1Dimensionality Assessment Using Minimum Rank Factor Analysis
R-EFAutilities2.1.3-lp156.1.1Utility Functions for Exploratory Factor Analysis
R-efdm0.2.1-lp156.1.1Simulate Forest Resources with the European Forestry Dynamic
R-effClust0.8.0-lp156.3.1Calculate Effective Number of Clusters for a Linear Model
R-effectFusion1.1.3-lp156.2.1Bayesian Effect Fusion for Categorical Predictors
R-effectsizescr0.1.0-lp156.2.1Indices for Single-Case Research
R-EffectsRelBaseline0.5-lp156.2.1Test changes of a grouped response relative to baseline.
R-EffectStars1.9.1-lp156.2.1Visualization of Categorical Response Models
R-EffectStars20.1.3-lp156.2.1Effect Stars
R-EffectTreat1.1-lp156.2.1Prediction of Therapeutic Success
R-EfficientMaxEigenpair0.1.4-lp156.2.1Efficient Initials for Computing the Maximal Eigenpair
R-efflog1.0-lp156.2.1The Causal Effects for a Causal Loglinear Model
R-effsize0.8.1-lp156.2.1Efficient Effect Size Computation
R-efreadr0.2.2-lp156.12.1Read European Eddy Fluxes CSV Files
R-eFRED0.1.0-lp156.2.1Fetch Data from the Federal Reserve Economic Database
R-EFS1.0.3-lp156.3.1Tool for Ensemble Feature Selection
R-efts0.9.0-lp156.2.1High-Level Functions to Read and Write Ensemble Forecast Tim
R-ega2.0.0-lp156.14.1Error Grid Analysis
R-egcm1.0.13-lp156.2.1Engle-Granger Cointegration Models
R-egg0.4.5-lp156.14.1Extensions for \'ggplot2\': Custom Geom, Custom Themes, Plot
R-eglhmm0.1.3-lp156.1.1Extended Generalised Linear Hidden Markov Models
R-EGM0.1.0-lp156.2.1Evaluating Cardiac Electrophysiology Signals
R-egor1.24.2-lp156.3.1Import and Analyse Ego-Centered Network Data
R-EGRET3.0.9-lp156.3.1Exploration and Graphics for RivEr Trends
R-EGRETci2.0.4-lp156.13.1Exploration and Graphics for RivEr Trends Confidence Interva
R-EGRNi0.1.6-lp156.3.1Ensemble Gene Regulatory Network Inference
R-eGST1.0.0-lp156.4.1Leveraging eQTLs to Identify Individual-Level Tissue of Inte
R-ehaGoF0.1.1-lp156.2.1Calculates Goodness of Fit Statistics
R-ehelp1.2.1-lp156.1.1Enhanced Help to Enable \"Docstring\"-Comments in Users Func
R-eHOF1.15-lp156.1.1Extended HOF (Huisman-Olff-Fresco) Models
R-EHR0.4.11-lp156.3.1Electronic Health Record (EHR) Data Processing and Analysis
R-ehymet0.1.0-lp156.1.1Methodologies for Functional Data Based on the Epigraph and
R-ei.Datasets0.0.1.3-lp156.5.1Real Datasets for Assessing Ecological Inference Algorithms
R-eia0.4.2-lp156.2.1API Wrapper for U.S. Energy Information Administration (\'EI
R-EIAapi0.1.2-lp156.1.1Query Data from the \'EIA\' API
R-EIAdata0.1.3-lp156.1.1R Wrapper for the Energy Information Administration (EIA) AP
R-eiCircles0.0.1.7-lp156.2.1Ecological Inference of RxC Tables by Overdispersed-Multinom
R-eicm1.0.3-lp156.1.1Explicit Interaction Community Models
R-eiCompare3.0.2-lp156.1.1Compares Different Ecological Inference Methods
R-eider1.0.0-lp156.2.1Declarative Feature Extraction from Tabular Data Records
R-eigeninv2011.8.1-lp156.2.1Generates (dense) matrices that have a given set of eigenval
R-eigenmodel1.11-lp156.2.1Semiparametric factor and regression models for symmetric re
R-eigenprcomp1.0-lp156.2.1Computes confidence intervals for principal components
R-eikosograms0.1.1-lp156.3.1The Picture of Probability
R-einet0.1.0-lp156.17.1Effective Information and Causal Emergence
R-eiopaR0.1.1-lp156.1.1Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA
R-eixport0.6.0-lp156.1.1Export Emissions to Atmospheric Models
R-EKMCMC1.1.2-lp156.1.1MCMC Procedures for Estimating Enzyme Kinetics Constants
R-EL1.2-lp156.2.1Two-Sample Empirical Likelihood
R-EL2Surv1.1-lp156.2.1Empirical Likelihood (EL) for Comparing Two Survival Functio
R-elasdics1.1.3-lp156.1.1Elastic Analysis of Sparse, Dense and Irregular Curves
R-elastic1.2.0-lp156.2.1General Purpose Interface to \'Elasticsearch\'
R-elasticnet1.3-lp156.2.1Elastic-Net for Sparse Estimation and Sparse PCA
R-elasticsearchr0.3.1-lp156.7.1A Lightweight Interface for Interacting with Elasticsearch f
R-elec0.1.2.2-lp156.1.1Collection of Functions for Statistical Election Audits
R-elec.strat0.1.1-lp156.2.1Functions for election audits using stratified random sample
R-EleChemr1.2.0-lp156.10.1Electrochemical Reactions Simulation
R-elections1.0.1-lp156.1.1USA Presidential Elections Data
R-electionsBR0.4.0-lp156.1.1R Functions to Download and Clean Brazilian Electoral Data
R-electivity1.0.2-lp156.2.1Algorithms for Electivity Indices
R-electoral0.1.3-lp156.5.1Allocating Seats Methods and Party System Scores
R-elevatr0.99.0-lp156.2.1Access Elevation Data from Various APIs
R-ElevDistr1.0.8-lp156.2.1Calculate the Distance to the Nearest Local Treeline
R-elexr1.0-lp156.2.1Load Associated Press Election Results with Elex
R-ELISAtools0.1.5-lp156.5.1ELISA Data Analysis with Batch Correction
R-elisr0.1.1-lp156.1.1Exploratory Likert Scaling
R-eList0.2.0-lp156.1.1List Comprehension and Tools
R-elitism1.1.1-lp156.1.1Equipment for Logarithmic and Linear Time Stepwise Multiple
R-elliplot1.3.0-lp156.1.1Ellipse Summary Plot of Quantiles
R-ellipse0.5.0-lp156.1.1Functions for drawing ellipses and ellipse-like confidence r
R-ellipsis0.3.2-lp156.2.1Tools for Working with ...
R-elliptic1.4.0-lp156.2.1Weierstrass and Jacobi Elliptic Functions
R-ellipticalsymmetry0.1.2-lp156.4.1Elliptical Symmetry Tests
R-ELMR1.0-lp156.2.1Extreme Machine Learning (ELM)
R-ELMSO1.0.1-lp156.2.1Implementation of the Efficient Large-Scale Online Display A
R-EloOptimized0.3.2-lp156.2.1Optimized Elo Rating Method for Obtaining Dominance Ranks
R-elrm1.2.5-lp156.1.1Exact Logistic Regression via MCMC
R-elsa1.1.28-lp156.6.1Entropy-Based Local Indicator of Spatial Association
R-eltr0.1.0-lp156.1.1Utilise Catastrophe Model Event Loss Table Outputs
R-ELYP0.7.5-lp156.2.1Empirical Likelihood Analysis for the Cox Model and Yang-Pre
R-EM.Fuzzy1.0-lp156.2.1EM Algorithm for Maximum Likelihood Estimation by Non-Precis
R-emailjsr0.0.2-lp156.5.1\'emailjs\' Support
R-emailvalidation0.1.0-lp156.1.1Client for the \'emailalvalidation.io\' E-Mail Validation AP
R-EMAR1.0.0-lp156.1.1Empirical Model Assessment
R-EMC1.3-lp156.2.1Evolutionary Monte Carlo (EMC) algorithm
R-EMD1.5.9-lp156.8.1Empirical Mode Decomposition and Hilbert Spectral Analysis
R-EMDANNhybrid0.2.0-lp156.2.1Empirical Mode Decomposition Based Artificial Neural Network
R-emdbook1.3.12-lp156.2.1Support Functions and Data for \"Ecological Models and Data\
R-emdist0.3.3-lp156.1.1Earth Mover\'s Distance
R-EMDSVRhybrid0.2.0-lp156.1.1Empirical Mode Decomposition Based Support Vector Regression
R-emery0.5.1-lp156.1.1Accuracy Statistic Estimation for Imperfect Gold Standards
R-emg1.0.9-lp156.2.1Exponentially Modified Gaussian (EMG) Distribution
R-emhawkes0.9.7-lp156.1.1Exponential Multivariate Hawkes Model
R-EmissV0.665.6.6-lp156.2.1Tools for Create Emissions for Air Quality Models
R-EmiStatR1.2.3.0-lp156.1.1Emissions and Statistics in R for Wastewater and Pollutants
R-eMLEloglin1.0.1-lp156.3.1Fitting log-Linear Models in Sparse Contingency Tables
R-EMLI0.2.0-lp156.1.1Computationally Efficient Maximum Likelihood Identification
R-EMMAgeo0.9.7-lp156.13.1End-Member Modelling of Grain-Size Data
R-emme20.9-lp156.2.1Read and Write to an EMME/2 databank
R-EMMIXmfa2.0.14-lp156.1.1Mixture Models with Component-Wise Factor Analyzers
R-EMMIXSSL1.1.1-lp156.1.1Semi-Supervised Gaussian Mixture Model with a Missing-Data M
R-EMMLi0.0.3-lp156.2.1A Maximum Likelihood Approach to the Analysis of Modularity
R-EMMREML3.1-lp156.2.1Fitting Mixed Models with Known Covariance Structures
R-emoji15.0-lp156.4.1Data and Function to Work with Emojis
R-emon1.3.2-lp156.2.1Tools for Environmental and Ecological Survey Design
R-emov0.1.1-lp156.2.1Eye Movement Analysis Package for Fixation and Saccade Detec
R-EMP2.0.5-lp156.3.1Expected Maximum Profit Classification Performance Measure
R-EMpeaksR0.3.1-lp156.1.1Conducting the Peak Fitting Based on the EM Algorithm
R-emphatic0.1.8-lp156.2.1Exploratory Analysis of Tabular Data using Colour Highlighti
R-emplikAUC0.4-lp156.2.1Empirical Likelihood Ratio Test/Confidence Interval for AUC
R-EMSaov2.3-lp156.13.1The Analysis of Variance with EMS
R-EMSC0.9.4-lp156.2.1Extended Multiplicative Signal Correction
R-EMSNM1.0-lp156.2.1EM Algorithm for Sigmoid Normal Model
R-EMT1.3.1-lp156.2.1Exact Multinomial Test: Goodness-of-Fit Test for Discrete Mu
R-emulator1.2.24-lp156.2.1Bayesian Emulation of Computer Programs
R-emuR2.1.1-lp156.3.1Main Package of the EMU Speech Database Management System
R-enc0.2.2-lp156.2.1Portable Tools for \'UTF-8\' Character Data
R-encode0.3.6-lp156.2.1Represent Ordered Lists and Pairs as Strings
R-EncompassTest0.22-lp156.1.1Direct Multi-Step Forecast Based Comparison of Nested Models
R-endogenous1.0-lp156.2.1Classical Simultaneous Equation Models
R-endorse1.6.2-lp156.1.1Bayesian Measurement Models for Analyzing Endorsement Experi
R-endtoend2.29-lp156.14.1Transmissions and Receptions in an End to End Network
R-EnergyOnlineCPM1.0-lp156.4.1Distribution Free Multivariate Control Chart Based on Energy
R-english1.2.6-lp156.1.1Translate Integers into English
R-EngrEcon1.0.0-lp156.2.1Engineering Economics Analysis for Engineering Projects Cost
R-engression0.1.4-lp156.3.1Engression Modelling
R-EngrExpt0.1.8-lp156.2.1Data sets from \"Introductory Statistics for Engineering Exp
R-engsoccerdata0.1.5-lp156.14.1English and European Soccer Results 1871-2016
R-ennet0.2.2-lp156.1.1Utilities to Extract and Analyse Text Data from the Emergenc
R-enRich3.1-lp156.2.1Analysis of Multiple ChIP-Seq Data
R-enrichR3.2-lp156.1.1Provides an R Interface to \'Enrichr\'
R-enrichwith0.3.1-lp156.2.1Methods to Enrich R Objects with Extra Components
R-EnsCat1.1-lp156.14.1Clustering of Categorical Data
R-ensembleBMA5.1.8-lp156.1.1Probabilistic Forecasting using Ensembles and Bayesian Model
R-ensembleMOS0.8.2-lp156.2.1Ensemble Model Output Statistics
R-ensemblepp1.0.0-lp156.2.1Ensemble Postprocessing Data Sets
R-ensembleR0.1.0-lp156.26.1Ensemble Models in R
R-ensemblQueryR0.1.0-lp156.1.1Simple, Fast and Efficient Querying of the \'Ensembl\' API
R-enshuman1.0.0-lp156.1.1Human Gene Annotation Data from \'Ensembl\'
R-ensModelVis0.1.0-lp156.6.1Visualisations for Model Ensembles
R-ensurer1.1-lp156.2.1Ensure Values at Runtime
R-entcn1.0.0-lp156.1.1Translate English Words into Chinese Words
R-entropy1.3.1-lp156.1.1Estimation of Entropy, Mutual Information and Related Quanti
R-EntropyExplorer1.1-lp156.2.1Tools for Exploring Differential Shannon Entropy, Differenti
R-entrymodels0.2.1-lp156.13.1Estimate Entry Models
R-EnvCpt1.1.3-lp156.1.1Detection of Structural Changes in Climate and Environment T
R-envDocument2.4.1-lp156.2.1Document the R Working Environment
R-EnvExpInd0.1.0-lp156.13.1Environmental Exposure on the Individual Level
R-enviPat2.6-lp156.1.1Isotope Pattern, Profile and Centroid Calculation for Mass S
R-enviPick1.5-lp156.6.1Peak Picking for High Resolution Mass Spectrometry Data
R-envir0.3.0-lp156.2.1Manage R Environments Better
R-EnviroPRA1.0-lp156.2.1Environmental Probabilistic Risk Assessment Tools
R-EnviroStat0.4.2-lp156.2.1Statistical Analysis of Environmental Space-Time Processes
R-envlpaster0.1.2-lp156.3.1Enveloping the Aster Model
R-envnames0.4.1-lp156.2.1Keep Track of User-Defined Environment Names
R-EnvNicheR1.5-lp156.1.1Niche Estimation
R-envstat0.0.3-lp156.4.1Configurable Reporting on your External Compute Environment
R-eodhd1.0.4-lp156.1.1Official \'eodhd\' API R Financial Library
R-eoR0.4.0-lp156.2.1Data Management Package (Exposure and Occurrence Data in R)
R-epandist1.1.1-lp156.2.1Statistical Functions for the Censored and Uncensored Epanec
R-epanet2toolkit1.0.5-lp156.2.1Call \'EPANET\' Functions to Simulate Pipe Networks
R-epanetReader0.7.3-lp156.2.1Read Epanet Files into R
R-epca1.1.0-lp156.1.1Exploratory Principal Component Analysis
R-epe4md0.1.4-lp156.3.1EPE\'s 4MD Model to Forecast the Adoption of Distributed Gen
R-EPGMr1.0.0-lp156.2.1Implementation of the Everglades Phosphorus Gradient Model
R-epibasix1.5-lp156.2.1Elementary Epidemiological Functions for Epidemiology and Bi
R-epicasting0.1.0-lp156.4.1Ewnet: An Ensemble Wavelet Neural Network for Forecasting an
R-EpiCurve2.4.2-lp156.11.1Plot an Epidemic Curve
R-epidata0.4.0-lp156.15.1Tools to Retrieve Economic Policy Institute Data Library Ext
R-epiDisplay3.5.0.1-lp156.2.1Epidemiological Data Display Package
R-epidm1.0.4-lp156.6.1UK Epidemiological Data Management
R-EpiDynamics0.3.1-lp156.16.1Dynamic Models in Epidemiology
R-epigraphdb0.2.3-lp156.6.1Interface Package for the \'EpiGraphDB\' Platform
R-EpiILM1.5.2-lp156.4.1Spatial and Network Based Individual Level Models for Epidem
R-EpiILMCT1.1.7-lp156.6.1Continuous Time Distance-Based and Network-Based Individual
R-epimdr0.6.5-lp156.13.1Functions and Data for \"Epidemics: Models and Data in R\"
R-epinet2.1.11-lp156.1.1Epidemic/Network-Related Tools
R-episcan0.0.1-lp156.2.1Scan Pairwise Epistasis
R-episensr0.9.6-lp156.5.1Basic Sensitivity Analysis of Epidemiological Results
R-episplineDensity0.0.1-lp156.3.1Density Estimation with Soft Information by Exponential Epi-
R-epistasis0.0.1.1-lp156.4.1Detecting Epistatic Selection with Partially Observed Genoty
R-EpistemicGameTheory0.1.2-lp156.2.1Constructing an Epistemic Model for the Games with Two Playe
R-epitools0.5.10.1-lp156.2.1Epidemiology Tools
R-Eplot1.0-lp156.2.1Plotting longitudinal series
R-eplusr0.16.2-lp156.3.1A Toolkit for Using Whole Building Simulation Program \'Ener
R-eply0.1.2-lp156.2.1Apply a Function Over Expressions
R-epmrob0.1-lp156.1.1Robust Estimation of Probit Models with Endogeneity
R-epo0.1.0-lp156.1.1Enhanced Portfolio Optimization (EPO)
R-epoc0.2.6.1.1-lp156.2.1Endogenous Perturbation Analysis of Cancer
R-epocakir0.9.9-lp156.4.1Clinical Coding of Patients with Kidney Disease
R-eponge0.1.0-lp156.3.1Keep Your Environment Clean
R-epsiwal0.1.0-lp156.2.1Exact Post Selection Inference with Applications to the Lass
R-EPT0.7.6-lp156.1.1Ensemble Patch Transform, Visualization and Decomposition
R-epwshiftr0.1.4-lp156.2.1Create Future \'EnergyPlus\' Weather Files using \'CMIP6\' D
R-EPX1.0.4-lp156.1.1Ensemble of Phalanxes
R-epxToR0.4.1-lp156.2.1Import \'Epidata\' XML Files \'.epx\'
R-eq5dsuite1.0.0-lp156.2.1Manipulating and Analysing EQ-5d Data
R-EQL1.0.1-lp156.2.1Extended-Quasi-Likelihood-Function (EQL)
R-eqs2lavaan3.0-lp156.4.1EQS Output Conversion to lavaan Functions
R-eqtl1.1.7-lp156.2.1Tools for analyzing eQTL experiments: A complementary to Kar
R-equalCovs1.0-lp156.2.1Testing the Equality of Two Covariance Matrices
R-Equalden.HD1.2-lp156.2.1Testing the Equality of a High Dimensional Set of Densities
R-equaltestMI0.6.1-lp156.3.1Examine Measurement Invariance via Equivalence Testing and P
R-equate2.0.8-lp156.1.1Observed-Score Linking and Equating
R-equil21.0.0-lp156.2.1Calculate Urinary Saturation with the EQUIL2 Algorithm
R-EquiSurv0.1.0-lp156.2.1Modeling, Confidence Intervals and Equivalence of Survival C
R-equivalence0.7.2-lp156.15.1Provides tests and graphics for assessing tests of equivalen
R-equivalenceTest0.0.1.1-lp156.5.1Equivalence Test for the Means of Two Normal Distributions
R-EQUIVNONINF1.0.2-lp156.1.1Testing for Equivalence and Noninferiority
R-equivUMP0.1.1-lp156.2.1Uniformly Most Powerful Invariant Tests of Equivalence
R-era0.4.1-lp156.2.1Year-Based Time Scales
R-erboost1.4-lp156.1.1Nonparametric Multiple Expectile Regression via ER-Boost
R-ercv1.0.1-lp156.2.1Fitting Tails by the Empirical Residual Coefficient of Varia
R-erfe0.0.1-lp156.2.1Fits Expectile Regression for Panel Fixed Effect Model
R-ergmharris1.0-lp156.2.1Local Health Department network data set
R-ERP2.2-lp156.3.1Significance Analysis of Event-Related Potentials Data
R-erp.easy1.1.0-lp156.3.1Event-Related Potential (ERP) Data Exploration Made Easy
R-ERPeq0.1.0-lp156.1.1Probabilistic Hazard Assessment
R-ERPM0.2.0-lp156.2.1Exponential Random Partition Models
R-erpR0.2.0-lp156.1.1Event-related potentials (ERP) analysis, graphics and utilit
R-err0.2.0-lp156.2.1Customizable Object Sensitive Messages
R-erratum2.2.0-lp156.1.1Handle Error and Warning Messages
R-errint1.0-lp156.2.1Builds Error Intervals
R-errorist0.1.2-lp156.1.1Automatically Search Errors or Warnings
R-errorizer0.2.1-lp156.2.1Function Errorizer
R-errorlocate1.1.1-lp156.1.1Locate Errors with Validation Rules
R-ES1.0-lp156.2.1Edge Selection
R-es.dif1.0.2-lp156.2.1Compute Effect Sizes of the Difference
R-esaBcv1.2.1.1-lp156.1.1Estimate Number of Latent Factors and Factor Matrix for Fact
R-esaps0.2.2-lp156.13.1Indicators of Electoral Systems and Party Systems
R-esc0.5.1-lp156.2.1Effect Size Computation for Meta Analysis
R-EScvtmle0.0.2-lp156.3.1Experiment-Selector CV-TMLE for Integration of Observational
R-esDesign1.0.3-lp156.1.1Adaptive Enrichment Designs with Sample Size Re-Estimation
R-ESEA1.0-lp156.3.1ESEA: Discovering the Dysregulated Pathways based on Edge Se
R-esem2.0.0-lp156.2.1Exploratory Structural Equation Modeling ESEM
R-ESG1.3-lp156.1.1A Package for Asset Projection
R-esmisc0.0.3-lp156.17.1Misc Functions of Eduard Szöcs
R-esmprep0.2.0-lp156.6.1Data Preparation During and After the Use of the Experience
R-essentials0.1.0-lp156.1.1Essential Functions not Included in Base R
R-essurvey1.0.8-lp156.9.1Download Data from the European Social Survey on the Fly
R-estatapi0.4.0-lp156.14.1R Interface to e-Stat API
R-estimability1.5.1-lp156.2.1Tools for Assessing Estimability of Linear Predictions
R-estimateW0.0.1-lp156.2.1Estimation of Spatial Weight Matrices
R-EstimationTools4.0.0-lp156.4.1Maximum Likelihood Estimation for Probability Functions from
R-estimators0.8.5-lp156.2.1Parameter Estimation
R-estimraw1.0.0-lp156.13.1Estimation of Four-Fold Table Cell Frequencies (Raw Data) fr
R-estmeansd1.0.1-lp156.1.1Estimating the Sample Mean and Standard Deviation from Commo
R-estout1.2-lp156.2.1Estimates Output
R-estprod1.2-lp156.2.1Estimation of Production Functions
R-EstSimPDMP1.2-lp156.2.1Estimation and Simulation for PDMPs
R-et.nwfva0.1.1-lp156.1.1Forest Yield Tables for Northwest Germany and their Applicat
R-etasFLP2.2.2-lp156.2.1Mixed FLP and ML Estimation of ETAS Space-Time Point Process
R-ETC1.5-lp156.1.1Equivalence to Control
R-ethnobotanyR0.1.9-lp156.5.1Calculate Quantitative Ethnobotany Indices
R-etl0.4.1-lp156.4.1Extract-Transform-Load Framework for Medium Data
R-ETLUtils1.5-lp156.2.1Utility Functions to Execute Standard Extract/Transform/Load
R-etma1.1.1-lp156.2.1Epistasis Test in Meta-Analysis
R-etrader0.1.5-lp156.3.1\'ETRADE\' API Interface for R
R-etrm1.0.1-lp156.8.1Energy Trading and Risk Management
R-etrunct0.1-lp156.2.1Computes Moments of Univariate Truncated t Distribution
R-EuclideanSD0.1.0-lp156.10.1An Euclidean View of Center and Spread
R-EUfootball0.0.1-lp156.1.1Football Match Data of European Leagues
R-eunis.habitats0.1.0-lp156.1.1EUNIS Habitat Classification
R-eurocordexr0.2.4-lp156.1.1Makes it Easier to Work with Daily \'netCDF\' from EURO-CORD
R-euroleaguer0.2.0-lp156.2.1\'Euroleague basketball API\'
R-europeanaR0.1.0-lp156.1.1Interact with Metadata Records and Media on the Europeana Re
R-europepmc0.4.3-lp156.3.1R Interface to the Europe PubMed Central RESTful Web Service
R-europop0.3.1-lp156.2.1Historical Populations of European Cities, 1500-1800
R-EurosarcBayes1.1-lp156.13.1Bayesian Single Arm Sample Size Calculation Software
R-eurostat4.0.0-lp156.2.1Tools for Eurostat Open Data
R-eva0.2.6-lp156.12.1Extreme Value Analysis with Goodness-of-Fit Testing
R-evabic0.1.1-lp156.1.1Evaluation of Binary Classifiers
R-Evacluster0.1.0-lp156.1.1Evaluation Clustering Methods for Disease Subtypes Diagnosis
R-EvalEst2024.2.1-lp156.1.1Dynamic Systems Estimation - Extensions
R-EvaluationMeasures1.1.0-lp156.2.1Collection of Model Evaluation Measure Functions
R-EValue4.1.3-lp156.11.1Sensitivity Analyses for Unmeasured Confounding and Other Bi
R-Evapotranspiration1.16-lp156.1.1Modelling Actual, Potential and Reference Crop Evapotranspir
R-EVchargcost0.1.0-lp156.1.1Computes and Plot the Optimal Charging Strategy for Electric
R-evclass2.0.2-lp156.1.1Evidential Distance-Based Classification
R-evclust2.0.3-lp156.1.1Evidential Clustering
R-EvCombR0.1.4-lp156.1.1Evidence Combination in R
R-evdbayes1.1.3-lp156.1.1Bayesian Analysis in Extreme Value Theory
R-event1.1.1-lp156.2.1Event History Procedures and Models
R-eventdataR0.3.1-lp156.1.1Event Data Repository
R-EventDetectR0.3.5-lp156.20.1Event Detection Framework
R-eventglm1.0.2-lp156.2.1Regression Models for Event History Outcomes
R-eventInterval1.3-lp156.2.1Sequential Event Interval Analysis
R-eventr1.0.0-lp156.14.1Create Event Based Data Architectures
R-events0.5-lp156.2.1Store and manipulate event data
R-eventstudies1.2.2-lp156.7.1Event Study Analysis
R-EventStudy0.39.2-lp156.5.1Event Study Analysis
R-eventTrack1.0.3-lp156.1.1Event Prediction for Time-to-Event Endpoints
R-EventWinRatios1.0.0-lp156.1.1Event-Specific Win Ratios for Terminal and Non-Terminal Even
R-EVI0.2.0.0-lp156.1.1Epidemic Volatility Index as an Early-Warning Tool
R-evian2.1.0-lp156.2.1Evidential Analysis of Genetic Association Data
R-evidenceFactors1.8-lp156.2.1Reporting Tools for Sensitivity Analysis of Evidence Factors
R-evident1.0.4-lp156.1.1Evidence Factors in Observational Studies
R-evilDice1.0-lp156.1.1Test Dice Sets for Intransitive Properties
R-evir1.7.4-lp156.2.1Extreme Values in R
R-evmix2.12-lp156.2.1Extreme Value Mixture Modelling, Threshold Estimation and Bo
R-evobiR1.1-lp156.28.1Comparative and Population Genetic Analyses
R-EvoRAG2.0-lp156.2.1Evolutionary Rates Across Gradients
R-evreg1.1.1-lp156.2.1Evidential Regression
R-evtree1.0.8-lp156.2.1Evolutionary Learning of Globally Optimal Trees
R-EW1.1-lp156.2.1Edgeworth Expansion
R-EwR1.4-lp156.4.1Econometrics with R
R-EWS0.2.0-lp156.1.1Early Warning System
R-exact.n1.1.1-lp156.1.1Exact Samples Sizes and Inference for Clinical Trials with B
R-exactamente0.1.1-lp156.3.1Explore the Exact Bootstrap Method
R-ExactCIdiff2.1-lp156.1.1Inductive Confidence Intervals for the Difference Between Tw
R-ExactCIone1.0.5-lp156.2.1Admissible Exact Intervals for One-Dimensional Discrete Dist
R-exactLoglinTest1.4.2-lp156.2.1Monte Carlo Exact Tests for Log-linear models
R-exactmeta1.0.2-lp156.2.1Exact fixed effect meta analysis
R-exactRankTests0.8.35-lp156.1.1Exact Distributions for Rank and Permutation Tests
R-ExamPAData0.5.0-lp156.1.1Data Sets for Predictive Analytics Exam
R-ExceedanceTools1.3.6-lp156.1.1Confidence/Credible Regions for Exceedance Sets and Contour
R-excel2eprime0.4.0-lp156.1.1Split Sentences by Factors
R-exceldata0.1.1.3-lp156.2.1Streamline Data Import, Cleaning and Recoding from \'Excel\'
R-ExcelFunctionsR0.1.4-lp156.19.1Imports Excel Functions to R
R-excelstrippr0.1.2-lp156.15.1Extracts Tabular Data from Excel Reports
R-excerptr2.0.1-lp156.3.1Excerpt Structuring Comments from Your Code File and Set a T
R-ExcessMass1.0.1-lp156.1.1Excess Mass Calculation and Plots
R-excessmort0.7.0-lp156.2.1Excess Mortality
R-excluder0.5.1-lp156.1.1Checks for Exclusion Criteria in Online Data
R-ExclusionTable1.1.0-lp156.1.1Creating Tables of Excluded Observations
R-exCon0.2.5-lp156.2.1Interactive Exploration of Contour Data
R-exDE1.0.0-lp156.1.1Extensible Differential Equations for Mosquito-Borne Pathoge
R-ExNRuleEnsemble0.1.1-lp156.2.1A k Nearest Neibour Ensemble Based on Extended Neighbourhood
R-exoplanets0.2.2-lp156.5.1Access NASA\'s Exoplanet Archive Data
R-EXPAR0.1.0-lp156.3.1Fitting of Exponential Autoregressive (EXPAR) Model
R-EXPARMA0.1.0-lp156.2.1Fitting of Exponential Autoregressive Moving Average (EXPARM
R-ExpDE0.1.4-lp156.2.1Modular Differential Evolution for Experimenting with Operat
R-ExpDes1.2.2-lp156.1.1Experimental Designs Package
R-ExpDes.pt1.2.2-lp156.1.1Pacote Experimental Designs (Portugues)
R-experDesign0.4.0-lp156.2.1Design Experiments for Batches
R-experiment1.2.1-lp156.1.1R Package for Designing and Analyzing Randomized Experiments
R-experimentr0.1.0-lp156.1.1Datasets Used in Social Science Experiments: A Hands-on Intr
R-expert1.0.0-lp156.2.1Modeling without data using expert opinion
R-ExpertChoice0.2.0-lp156.18.1Design of Discrete Choice and Conjoint Analysis
R-ExpImage0.10.1-lp156.2.1Analysis of Images in Experiments
R-expint0.1.8-lp156.1.1Exponential Integral and Incomplete Gamma Function
R-expirest0.1.6-lp156.2.1Expiry Estimation Procedures
R-ExplainPrediction1.3.0-lp156.13.1Explanation of Predictions for Classification and Regression
R-ExplodeLayout0.1.2-lp156.6.1Calculate Exploded Coordinates Based on Original Node Coordi
R-exploreR0.1-lp156.14.1Tools for Quickly Exploring Data
R-ExPosition2.8.23-lp156.2.1Exploratory Analysis with the Singular Value Decomposition
R-ExposR1.1-lp156.2.1Models Topographic Exposure to Hurricane Winds
R-expowo2.0-lp156.2.1Data Mining of Plant Diversity and Distribution
R-ExpRep1.0-lp156.2.1Experiment Repetitions
R-exPrior1.0.1-lp156.1.1Prior Distributions Using a Bayesian Hierarchical Framework
R-ExprNet1.0.0-lp156.1.1Characterizing Differential Expression of Selected Edges on
R-expsmooth2.3-lp156.16.1Data Sets from \"Forecasting with Exponential Smoothing\"
R-expstudy2.0.0-lp156.1.1Tools for Actuarial Experience Studies
R-exptest1.2-lp156.2.1Tests for Exponentiality
R-exreport0.4.1-lp156.15.1Fast, Reliable and Elegant Reproducible Research
R-exsic1.1.1-lp156.4.1Convenience Functions for Botanists to Create Specimens Indi
R-ExtDist0.7.2-lp156.5.1Extending the Range of Functions for Probability Distributio
R-extdplyr0.1.5-lp156.14.1Data Manipulation Extensions of \'Dplyr\' and \'Tidyr\'
R-extendedFamily0.2.4-lp156.1.1Additional Families for Generalized Linear Models
R-exteriorMatch1.0.0-lp156.2.1Constructs the Exterior Match from Two Matched Control Group
R-extfunnel1.3-lp156.2.1Additional Funnel Plot Augmentations
R-extlasso0.3-lp156.1.1Maximum Penalized Likelihood Estimation with Extended Lasso
R-ExtMallows0.1.0-lp156.2.1An Extended Mallows Model and Its Hierarchical Version for R
R-extraBinomial2.1-lp156.2.1Extra-binomial approach for pooled sequencing data
R-ExtractTrainData9.1.6-lp156.2.1Extract Values from Raster
R-extrafont0.19-lp156.1.1Tools for Using Fonts
R-extrafontdb1.0-lp156.2.1Package for holding the database for the extrafont package
R-extraoperators0.3.0-lp156.1.1Extra Binary Relational and Logical Operators
R-extraterrestrial0.1.0-lp156.2.1Astrobiology Equations Estimating Extraterrestrial Life
R-extRC1.2-lp156.2.1Extended RC Models for Contingency Tables
R-ExtremeBounds0.1.7-lp156.1.1Extreme Bounds Analysis (EBA)
R-extremefit1.0.2-lp156.2.1Estimation of Extreme Conditional Quantiles and Probabilitie
R-extremeIndex0.0.3-lp156.1.1Forecast Verification for Extreme Events
R-ExtremeRisks0.0.4-lp156.1.1Extreme Risk Measures
R-extRemes2.1.4-lp156.1.1Extreme Value Analysis
R-extremeStat1.5.9-lp156.1.1Extreme Value Statistics and Quantile Estimation
R-extremogram1.0.2-lp156.2.1Estimation of Extreme Value Dependence for Time Series Data
R-ExtrPatt0.1.4-lp156.1.1Spatial Dependencies and Indices for Extremes
R-extWeibQuant1.1-lp156.2.1Estimate Lower Extreme Quantile with the Censored Weibull ML
R-eye1.2.1-lp156.10.1Analysis of Eye Data
R-eyedata0.1.0-lp156.13.1Open Source Ophthalmic Data Sets Curated for R
R-eyelinker0.2.1-lp156.10.1Import ASC Files from EyeLink Eye Trackers
R-eyeRead0.0.4-lp156.13.1Prepare/Analyse Eye Tracking Data for Reading
R-eyetracking1.1-lp156.2.1Eyetracking Helper Functions
R-eyetrackingR0.2.1-lp156.3.1Eye-Tracking Data Analysis
R-eyeTrackR1.0.1-lp156.7.1Organising and Analysing Eye-Tracking Data
R-ez.combat1.0.0-lp156.1.1Easy ComBat Harmonization
R-ezcox1.0.4-lp156.3.1Easily Process a Batch of Cox Models
R-ezCutoffs1.0.1-lp156.16.1Fit Measure Cutoffs in SEM
R-ezglm1.0-lp156.2.1selects significant non-additive interaction between two var
R-EzGP0.1.0-lp156.5.1Easy-to-Interpret Gaussian Process Models for Computer Exper
R-ezmmek0.2.4-lp156.17.1Easy Michaelis-Menten Enzyme Kinetics
R-ezplot0.7.13-lp156.1.1Functions for Common Chart Types
R-ezsim0.5.5-lp156.9.1provide an easy to use framework to conduct simulation
R-fabCI0.2-lp156.1.1FAB Confidence Intervals
R-FABInference0.1-lp156.2.1FAB p-Values and Confidence Intervals
R-fabricatr1.0.2-lp156.1.1Imagine Your Data Before You Collect It
R-fabricerin0.1.2-lp156.8.1Create Easily Canvas in \'shiny\' and \'RMarkdown\' Document
R-face0.1.7-lp156.1.1Fast Covariance Estimation for Sparse Functional Data
R-facebookadsR0.1.0-lp156.1.1Access to Facebook Ads via the \'Windsor.ai\' API
R-facebookleadsR0.1.0-lp156.1.1Get Facebook Leads Ads Data via the \'Windsor.ai\' API
R-facebookorganicR0.1.0-lp156.2.1Get Data from \'Facebook Organic\' via the \'Windsor.ai\' AP
R-FacPad3.0-lp156.2.1Bayesian Sparse Factor Analysis model for the inference of p
R-FACT0.1.1-lp156.3.1Feature Attributions for ClusTering
R-factiv0.1.0-lp156.1.1Instrumental Variables Estimation for 2^k Factorial Experime
R-FactMixtAnalysis1.0-lp156.2.1Factor Mixture Analysis with covariates
R-FactoClass1.2.9-lp156.1.1Combination of Factorial Methods and Cluster Analysis
R-factoptd1.0.3-lp156.5.1Factorial Optimal Designs for Two-Colour cDNA Microarray Exp
R-factor2560.1.0-lp156.1.1Use Raw Vectors to Minimize Memory Consumption of Factors
R-FactorCopula0.9.3-lp156.5.1Factor, Bi-Factor, Second-Order and Factor Tree Copula Model
R-factorial2x20.2.0-lp156.2.1Design and Analysis of a 2x2 Factorial Trial
R-factormodel1.0-lp156.7.1Factor Model Estimation Using Proxy Variables
R-factorplot1.2.3-lp156.2.1Presenting Pairwise Comparisons
R-FactorsR1.5-lp156.1.1Identification of the Factors Affecting Species Richness
R-factory0.1.0-lp156.4.1Build Function Factories
R-factset.analyticsapi.engines3.0.1-lp156.4.1\'FactSet\' Engines API Client
R-factset.protobuf.stachextensions1.0.4-lp156.2.1\'FactSet\' \'STACH\' Extensions Package
R-factualR0.5-lp156.3.1thin wrapper for the Factual.com server API
R-FAdist2.4-lp156.1.1Distributions that are Sometimes Used in Hydrology
R-FADPclust1.1.1-lp156.5.1Functional Data Clustering Using Adaptive Density Peak Detec
R-Fahrmeir2016.5.31-lp156.2.1Data from the Book \"Multivariate Statistical Modelling Base
R-fail1.3-lp156.3.1File Abstraction Interface Layer (FAIL)
R-FAIRmaterials0.1.0-lp156.1.1Make Materials Data FAIR
R-FairMclus2.2.1-lp156.9.1Clustering for Data with Sensitive Attribute
R-fairsubset1.0-lp156.2.1Choose Representative Subsets
R-faisalconjoint1.15-lp156.2.1Faisal Conjoint Model: A New Approach to Conjoint Analysis
R-fakemake1.11.1-lp156.2.1Mock the Unix Make Utility
R-fakir1.0.0-lp156.2.1Generate Fake Datasets for Prototyping and Teaching
R-fakmct0.1.0-lp156.1.1Fuzzy Adaptive Resonance Theory K-Means Clustering Technique
R-falcon0.2-lp156.2.1Finding Allele-Specific Copy Number in Next-Generation Seque
R-falconx0.2-lp156.2.1Finding Allele-Specific Copy Number in Whole-Exome Sequencin
R-fam.recrisk0.1-lp156.2.1Familial Recurrence Risk
R-fame2.21.1-lp156.1.1Interface for FAME time series database
R-familiar1.4.8-lp156.2.1End-to-End Automated Machine Learning and Model Evaluation
R-FAMILY0.1.19-lp156.4.1A Convex Formulation for Modeling Interactions with Strong H
R-FAmle1.3.7-lp156.1.1Maximum Likelihood and Bayesian Estimation of Univariate Pro
R-FAMoS0.3.0-lp156.4.1A Flexible Algorithm for Model Selection
R-fanc2.3.11-lp156.1.1Penalized Likelihood Factor Analysis via Nonconvex Penalty
R-fANCOVA0.6.1-lp156.2.1Nonparametric Analysis of Covariance
R-fanplot4.0.0-lp156.1.1Visualisation of Sequential Probability Distributions Using
R-fansi1.0.6-lp156.1.1ANSI Control Sequence Aware String Functions
R-FAO561.0-lp156.1.1Evapotranspiration Based on FAO Penman-Monteith Equation
R-FAOSTAT2.4.0-lp156.2.1Download Data from the FAOSTAT Database
R-farff1.1.1-lp156.10.1A Faster \'ARFF\' File Reader and Writer
R-farr0.3.0-lp156.2.1Data and Code for Financial Accounting Research
R-farver2.1.2-lp156.2.1High Performance Colour Space Manipulation
R-FAS1.0.0-lp156.1.1Factor-Augmented Sparse Regression Tuning-Free Testing
R-FASeg0.1.9-lp156.2.1Joint Segmentation of Correlated Time Series
R-fasi1.0.0-lp156.1.1Fair Adjusted Selective Inference
R-fAsianOptions3042.82-lp156.2.1Rmetrics - EBM and Asian Option Valuation
R-fasjem1.1.2-lp156.7.1A Fast and Scalable Joint Estimator for Learning Multiple Re
R-fasta0.1.0-lp156.2.1Fast Adaptive Shrinkage/Thresholding Algorithm
R-fastAFT1.4-lp156.1.1Fast Regression for the Accelerated Failure Time (AFT) Model
R-fastbackward1.0.1-lp156.2.1Fast Backward Elimination Based on Information Criterion
R-fastbeta0.3.0-lp156.2.1Fast Approximation of Time-Varying Infectious Disease Transm
R-fastclime1.4.1.1-lp156.1.1A Fast Solver for Parameterized LP Problems, Constrained L1
R-fastcluster1.2.6-lp156.1.1Fast Hierarchical Clustering Routines for R and \'Python\'
R-fastcmprsk1.24.5-lp156.2.1Fine-Gray Regression via Forward-Backward Scan
R-fastcox1.1.3-lp156.2.1Lasso and Elastic-Net Penalized Cox\'s Regression in High Di
R-FastCUB0.0.3-lp156.2.1Fast Estimation of CUB Models via Louis\' Identity
R-fastdigest0.6.4-lp156.2.1Fast, Low Memory Footprint Digests of R Objects
R-fastGraph2.1-lp156.2.1Fast Drawing and Shading of Graphs of Statistical Distributi
R-fastHICA1.0.2-lp156.3.1Hierarchical Independent Component Analysis: a Multi-Scale S
R-fasthplus1.0-lp156.1.1Fast Label-Dissimilarity Discordance Estimation with H+
R-FastImputation2.2.1-lp156.1.1Learn from Training Data then Quickly Fill in Missing Data
R-FastKNN0.0.1-lp156.2.1Fast k-Nearest Neighbors
R-fastkqr1.0.0-lp156.2.1A Fast Algorithm for Kernel Quantile Regression
R-fastlogitME0.1.0-lp156.2.1Basic Marginal Effects for Logit Models
R-FastLZeroSpikeInference2018.12.10-lp156.2.1Fast Nonconvex Deconvolution of Calcium Imaging Data
R-fastmap1.2.0-lp156.2.1Fast Data Structures
R-fastmaRching1.1.0-lp156.5.1Fast Marching Method for Modelling Evolving Boundaries
R-fastmatch1.1.4-lp156.1.1Fast \'match()\' Function
R-fastNaiveBayes2.2.1-lp156.2.1Extremely Fast Implementation of a Naive Bayes Classifier
R-fastnet1.0.0-lp156.20.1Large-Scale Social Network Analysis
R-fastOnlineCpt1.0-lp156.1.1Online Multivariate Changepoint Detection
R-fastpseudo0.1-lp156.2.1Fast Pseudo Observations
R-fastR21.2.4-lp156.4.1Foundations and Applications of Statistics Using R (2nd Edit
R-fastRhockey0.4.0-lp156.8.1Functions to Access Premier Hockey Federation and National H
R-FastRWeb1.2.1-lp156.1.1Fast Interactive Framework for Web Scripting Using R
R-fastSOM1.0.1-lp156.2.1Fast Calculation of Spillover Measures
R-FastStepGraph0.1.1-lp156.1.1A Fast Algorithm for Sparse Precision Matrix Estimation
R-fasttime1.1.0-lp156.1.1Fast Utility Function for Time Parsing and Conversion
R-fastTS1.0.1-lp156.2.1Fast Time Series Modeling for Seasonal Series with Exogenous
R-FatTailsR1.8.5-lp156.2.1Kiener Distributions and Fat Tails in Finance
R-fauxnaif0.7.1-lp156.3.1Convert Values to NA
R-fauxpas0.5.2-lp156.1.1HTTP Error Helpers
R-faviconPlease0.1.3-lp156.2.1Find the URL to the \'Favicon\' for a Website
R-favnums1.0.0-lp156.2.1A Dataset of Favourite Numbers
R-fbar0.6.0-lp156.18.1An Extensible Approach to Flux Balance Analysis
R-fbati1.0.9-lp156.1.1Gene by Environment Interaction and Conditional Gene Tests f
R-FBN1.5.2-lp156.1.1FISH Based Normalization and Copy Number Inference of SNP Mi
R-fBonds3042.78-lp156.2.1Rmetrics - Pricing and Evaluating Bonds
R-fbRads17.0.0-lp156.1.1Analyzing and Managing Facebook Ads from R
R-fbRanks2.0-lp156.4.1Association Football (Soccer) Ranking via Poisson Regression
R-fc0.1.0-lp156.2.1Standard Evaluation-Based Multivariate Function Composition
R-fca0.1.0-lp156.1.1Floating Catchment Area (FCA) Methods to Calculate Spatial A
R-fCertificates0.5.4-lp156.2.1Basics of Certificates and Structured Products Valuation
R-FCGR1.0.0-lp156.3.1Fatigue Crack Growth in Reliability
R-fcm0.1.3-lp156.15.1Inference of Fuzzy Cognitive Maps (FCMs)
R-FCMapper1.1-lp156.7.1Fuzzy Cognitive Mapping
R-FCO0.8.0-lp156.1.1Flexible Cutoffs for Model Fit Evaluation in Covariance-Base
R-fcp0.1.0-lp156.1.1Function Composition
R-FCPS1.3.4-lp156.2.1Fundamental Clustering Problems Suite
R-fcr1.0-lp156.11.1Functional Concurrent Regression for Sparse Data
R-fcros1.6.1-lp156.2.1A Method to Search for Differentially Expressed Genes and to
R-FCSlib1.3.0-lp156.4.1A Collection of Fluorescence Fluctuation Spectroscopy Analys
R-fcuk0.1.21-lp156.12.1The Ultimate Helper for Clumsy Fingers
R-FCVAR0.1.4-lp156.1.1Estimation and Inference for the Fractionally Cointegrated V
R-FD1.0.12.3-lp156.1.1Measuring Functional Diversity (FD) from Multiple Traits, an
R-fda.usc2.1.0-lp156.5.1Functional Data Analysis and Utilities for Statistical Compu
R-fdaACF1.0.0-lp156.16.1Autocorrelation Function for Functional Time Series
R-fdaMocca0.1.1-lp156.5.1Model-Based Clustering for Functional Data with Covariates
R-fdaoutlier0.2.1-lp156.1.1Outlier Detection Tools for Functional Data Analysis
R-fdatest2.1.1-lp156.7.1Interval Testing Procedure for Functional Data
R-FDboost1.1.2-lp156.1.1Boosting Functional Regression Models
R-fdcov1.1.0-lp156.2.1Analysis of Covariance Operators
R-fdistr0.1.0-lp156.15.1Frequency Distribution Tables
R-fdrci2.4-lp156.3.1Permutation-Based FDR Point and Confidence Interval Estimati
R-FDRestimation1.0.1-lp156.1.1Estimate, Plot, and Summarize False Discovery Rates
R-FDRsamplesize20.2.0-lp156.1.1Computing Power and Sample Size for the False Discovery Rate
R-FDRsampsize1.0-lp156.2.1Compute Sample Size that Meets Requirements for Average Powe
R-fds1.8-lp156.16.1Functional Data Sets
R-fdth1.3.0-lp156.1.1Frequency Distribution Tables, Histograms and Polygons
R-fdWasserstein1.0-lp156.1.1Application of Optimal Transport to Functional Data Analysis
R-FEA0.0.2-lp156.1.1Finite Element Modeling for R
R-feamiR0.1.0-lp156.15.1Classification and Feature Selection for microRNA/mRNA Inter
R-feature1.2.15-lp156.4.1Local Inferential Feature Significance for Multivariate Kern
R-featureCorMatrix0.4.0-lp156.2.1Measurement Level Independent Feature Correlation Matrix
R-featurefinder1.1-lp156.3.1Feature Finder
R-featureflag0.1.0-lp156.1.1Turn Features On and Off using Feature Flags
R-FeatureImpCluster0.1.5-lp156.7.1Feature Importance for Partitional Clustering
R-features2015.12.1-lp156.3.1Feature Extraction for Discretely-Sampled Functional Data
R-featuretoolsR0.4.4-lp156.23.1Interact with the \'Python\' Module \'Featuretools\'
R-featurizer0.2-lp156.2.1Some Helper Functions that Help Create Features from Data
R-febr1.9.9-lp156.1.1Data Repository of the Brazilian Soil
R-fec160.1.4-lp156.3.1Data Package for the 2016 United States Federal Elections
R-fechner1.0.3-lp156.2.1Fechnerian Scaling of Discrete Object Sets
R-FedData4.0.1-lp156.1.1Functions to Automate Downloading Geospatial Data Available
R-federalregister0.2.0-lp156.2.1Client Package for the U.S. Federal Register API
R-fedregs1.0.0-lp156.16.1Text Analysis of the US Code of Federal Regulations
R-fedstatAPIr1.0.3-lp156.2.1Unofficial API for Fedstat (Rosstat EMISS System) for Automa
R-fedz10.1.0-lp156.1.1An Easier Access to Financial Accounts of the United States(
R-feedeR0.0.10-lp156.6.1Read RSS, Atom and RDF Feeds
R-feisr1.3.0-lp156.1.1Estimating Fixed Effects Individual Slope Models
R-fellov0.1-lp156.2.1Feasible Ellipse Overlap
R-feltr0.0.4-lp156.1.1Access the Felt API
R-FEprovideR1.1-lp156.14.1Fixed Effects Logistic Model with High-Dimensional Parameter
R-FER0.94-lp156.1.1Financial Engineering in R
R-fermicatsR1.4-lp156.2.1Fermi Large Area Telescope Catalogs
R-FertBoot0.5.0-lp156.15.1Fertilizer Response Curve Analysis by Bootstrapping Residual
R-fertilmodel1.1-lp156.1.1Fertility Models
R-FertNet0.1.2-lp156.1.1Process Data from the Social Networks and Fertility Survey
R-FESta1.0.0-lp156.2.1Fishing Effort Standardisation
R-fetch0.1.5-lp156.1.1Fetch Data from Various Data Sources
R-fetchGoogleAnalyticsR0.1.0-lp156.1.1Get Data from Google Analytics via the \'Windsor.ai\' API
R-fetchSalesforceR0.1.0-lp156.1.1Get Data from Salesforce via the \'Windsor.ai\' API
R-fExoticOptions3042.80-lp156.2.1Rmetrics - Pricing and Evaluating Exotic Option
R-fExpressCertificates1.3-lp156.2.1Structured Products Valuation for ExpressCertificates/Autoca
R-fExtremes4032.84-lp156.1.1Rmetrics - Modelling Extreme Events in Finance
R-FFD1.0.9-lp156.1.1Freedom from Disease
R-FField0.1.0-lp156.2.1Force field simulation for a set of points
R-fflr2.3.0-lp156.1.1Retrieve ESPN Fantasy Football Data
R-ffmanova1.1.2-lp156.1.1Fifty-fifty MANOVA
R-ffmetadata1.0.0-lp156.2.1Access to Fragile Families Metadata
R-ffp0.2.2-lp156.14.1Fully Flexible Probabilities for Stress Testing and Portfoli
R-ffscrapr1.4.8-lp156.2.1API Client for Fantasy Football League Platforms
R-ffsimulator1.2.3-lp156.1.1Simulate Fantasy Football Seasons
R-fftwtools0.9.11-lp156.1.1Wrapper for \'FFTW3\' Includes: One-Dimensional, Two-Dimensi
R-fgac0.6.1-lp156.2.1Generalized Archimedean Copula
R-FGalgorithm1.0-lp156.2.1Flury and Gautschi algorithms
R-fGarch4033.92-lp156.2.1Rmetrics - Autoregressive Conditional Heteroskedastic Modell
R-fgeo1.1.4-lp156.22.1Analyze Forest Diversity and Dynamics
R-fgeo.analyze1.1.14-lp156.20.1Analyze ForestGEO Data
R-fgeo.plot1.1.11-lp156.6.1Plot ForestGEO Data
R-fgeo.tool1.2.9-lp156.1.1Import and Manipulate \'ForestGEO\' Data
R-fgeo.x1.1.4-lp156.4.1Access Small ForestGEO Datasets For Examples
R-fglsnet1.0-lp156.7.1A Feasible Generalized Least Squares Estimator for Regressio
R-Fgmutils0.9.5-lp156.16.1Forest Growth Model Utilities
R-fgof0.2.1-lp156.2.1Fast Goodness-of-fit Test
R-fgpt2.3-lp156.2.1Floating Grid Permutation Technique
R-FGSG1.0.2-lp156.2.1Feature Grouping and Selection Over an Undirected Graph
R-fgui1.0.8-lp156.2.1Function GUI
R-FHDI1.4.1-lp156.2.1Fractional Hot Deck and Fully Efficient Fractional Imputatio
R-fhidata2019.8.27-lp156.2.1Structural Data for Norway
R-fhircrackr2.2.0-lp156.2.1Handling HL7 FHIR® Resources in R
R-FI1.0-lp156.2.1Provide functions for forest inventory calculations
R-fic1.0.0-lp156.14.1Focused Information Criteria for Model Comparison
R-fidap0.0.3-lp156.1.1Access Clean External Data Easily
R-fiery1.2.1-lp156.1.1A Lightweight and Flexible Web Framework
R-fig1.0.0-lp156.1.1A Config Package with No \"Con\"
R-figir0.1.7.0-lp156.1.1Check Validity of FIGI, CUSIP, ISIN, SEDOL
R-figma0.2.0-lp156.4.1Web Client/Wrapper to the \'Figma API\'
R-figuRes21.0.0-lp156.5.1Support for a Variety of Figure Production Tasks
R-filebin0.0.6-lp156.2.1Wrapper for the Filebin File Sharing API
R-filecacher0.2.9-lp156.1.1File Cacher
R-filelock1.0.3-lp156.1.1Portable File Locking
R-filematrix1.3-lp156.2.1File-Backed Matrix Class with Convenient Read and Write Acce
R-filenamer0.2.4-lp156.2.1Easy Management of File Names
R-files0.0.1-lp156.2.1Effective File Navigation from the R Console
R-filesstrings3.4.0-lp156.1.1Handy File and String Manipulation
R-filibustr0.2.1-lp156.2.1Data Utilities for Congressional Research
R-fillr1.0.0-lp156.2.1Fill Missing Values in Vectors
R-filteRjsats1.0-lp156.2.1Filter Raw JSATS Acoustic Telemetry Files from Lotek, ATS, T
R-filterNHP0.1.2-lp156.10.1Non-Human Primate Search Filters
R-FinAna0.1.2-lp156.2.1Financial Analysis and Regression Diagnostic Analysis
R-FinancialInstrument1.3.1-lp156.3.1Financial Instrument Model Infrastructure and Meta-Data
R-FinancialMath0.1.1-lp156.2.1Financial Mathematics for Actuaries
R-FinAsym1.0-lp156.2.1Classifies implicit trading activity from market quotes and
R-FinCal0.6.3-lp156.15.1Time Value of Money, Time Series Analysis and Computational
R-FinCovRegularization1.1.0-lp156.2.1Covariance Matrix Estimation and Regularization for Finance
R-FindAllRoots1.0-lp156.2.1Find all root(s) of the equation and Find root(s) of the equ
R-findGSEP1.2.0-lp156.2.1Estimate Genome Size of Polyploid Species Using k-Mer Freque
R-findPackage0.2.0-lp156.1.1Find \'CRAN\' Package by Topic
R-findpython1.0.8-lp156.1.1Functions to Find an Acceptable Python Binary
R-findviews0.1.3-lp156.20.1A View Generator for Multidimensional Data
R-FinePop1.5.2-lp156.2.1Fine-Scale Population Analysis
R-FinePop20.4-lp156.2.1Fine-Scale Population Analysis (Rewrite for Gene-Trait-Envir
R-fingerprint3.5.7-lp156.2.1Functions to operate on binary fingerprint data
R-finiteruinprob0.6-lp156.3.1Computation of the Probability of Ruin Within a Finite Time
R-FinNet0.1.2-lp156.1.1Quickly Build and Manipulate Financial Networks
R-finnishgrid0.2.0-lp156.1.1\'Fingrid Open Data API\' R Client
R-finreportr1.0.4-lp156.9.1Financial Data from U.S. Securities and Exchange Commission
R-FinTS0.4.9-lp156.1.1Companion to Tsay (2005) Analysis of Financial Time Series
R-fipe0.0.1-lp156.10.1Access to Average Purchase Price of Vehicles in Brazil
R-fipio1.1.2-lp156.1.1Lightweight Federal Information Processing System (FIPS) Cod
R-firebase1.0.2-lp156.4.1Integrates \'Google Firebase\' Authentication Storage, and \
R-firebehavioR0.1.2-lp156.14.1Prediction of Wildland Fire Behavior and Hazard
R-first1.1-lp156.1.1Factor Importance Ranking and Selection using Total Indices
R-FiSh1.1-lp156.11.1Fisher-Shannon Method
R-fishbc0.2.1-lp156.1.1Fishes of British Columbia
R-fishdata1.0.1-lp156.1.1A Small Collection of Fish Population Datasets
R-FisherEM1.6-lp156.14.1The FisherEM Algorithm to Simultaneously Cluster and Visuali
R-fishkirkko20151.0.0-lp156.2.1Dataset of Measurements of Fish Species at Kirkkojarvi Lake,
R-fishmove0.3.3-lp156.9.1Prediction of Fish Movement Parameters
R-FishResp1.1.1-lp156.9.1Analytical Tool for Aquatic Respirometry
R-fishtree0.3.4-lp156.4.1Interface to the Fish Tree of Life API
R-fishualize0.2.3-lp156.8.1Color Palettes Based on Fish Species
R-fit.models0.64-lp156.2.1Compare Fitted Models
R-fitbitr0.3.0-lp156.2.1Interface with the \'Fitbit\' API
R-fitbitScraper0.1.8-lp156.7.1Scrapes Data from Fitbit
R-fitConic1.2.1-lp156.1.1Fit Data to Any Conic Section
R-fitdc0.0.1-lp156.2.1Garmin FIT File Decoder
R-fitDRC1.1.1-lp156.2.1Fitting Density Ratio Classes
R-FitDynMix1.0.0-lp156.1.1Estimation of Dynamic Mixtures
R-fitHeavyTail0.2.0-lp156.3.1Mean and Covariance Matrix Estimation under Heavy Tails
R-fitmix0.1.0-lp156.1.1Finite Mixture Model Fitting of Lifespan Datasets
R-fitODBOD1.4.1.1-lp156.2.1Modeling Over Dispersed Binomial Outcome Data Using BMD and
R-fitPoly3.0.0-lp156.2.1Genotype Calling for Bi-Allelic Marker Assays
R-fitscape0.1.0-lp156.1.1Classes for Fitness Landscapes and Seascapes
R-FITSio2.1.6-lp156.1.1FITS (Flexible Image Transport System) Utilities
R-fitTetra1.0-lp156.2.1fitTetra is an R package for assigning tetraploid genotype s
R-fivethirtyeight0.6.2-lp156.1.1Data and Code Behind the Stories and Interactives at \'FiveT
R-fixedincome0.0.5-lp156.1.1Fixed Income Models, Calculations, Data Structures and Instr
R-FixedPoint0.6.3-lp156.2.1Algorithms for Finding Fixed Point Vectors of Functions
R-fixedTimeEvents1.0.1-lp156.1.1The Distribution of Distances Between Discrete Events in Fix
R-fixerapi0.1.6-lp156.13.1An R Client for the \"Fixer.io\" Currency API
R-fixr0.1.0-lp156.2.1Fixing Data Made Easy for Statistical Analysis
R-FixSeqMTP0.1.2-lp156.2.1Fixed Sequence Multiple Testing Procedures
R-fixtuRes0.1.3-lp156.8.1Mock Data Generator
R-fizzbuzzR0.1.1-lp156.2.1Fizz Buzz Implementation
R-FjordLight0.8-lp156.2.1Available Light Within the Water Column and Seafloor of Arct
R-FKF.SP0.3.1-lp156.1.1Fast Kalman Filtering Through Sequential Processing
R-flacco1.8-lp156.15.1Feature-Based Landscape Analysis of Continuous and Constrain
R-flagr0.3.2-lp156.2.1Implementation of Flag Aggregation
R-flap0.2.0-lp156.1.1Forecast Linear Augmented Projection
R-flare1.7.0.1-lp156.6.1Family of Lasso Regression
R-flashClust1.01.2-lp156.2.1Implementation of optimal hierarchical clustering
R-flashier1.0.7-lp156.2.1Empirical Bayes Matrix Factorization
R-flashlight0.9.0-lp156.2.1Shed Light on Black Box Machine Learning Models
R-flatness0.1.4-lp156.1.1Indices and Tests for Assessing the Flatness of (Rank) Histo
R-flatr0.1.1-lp156.13.1Transforms Contingency Tables to Data Frames, and Analyses T
R-flattabler2.1.2-lp156.2.1Obtaining a Flat Table from Pivot Tables
R-flatxml0.1.1-lp156.5.1Tools for Working with XML Files as R Dataframes
R-fledge0.1.2-lp156.3.1Smoother Change Tracking and Versioning for R Packages
R-flexclust1.4.2-lp156.2.1Flexible Cluster Algorithms
R-flexCWM1.92-lp156.7.1Flexible Cluster-Weighted Modeling
R-FlexDir1.0-lp156.2.1Tools to Work with the Flexible Dirichlet Distribution
R-FlexGAM0.7.2-lp156.2.1Generalized Additive Models with Flexible Response Functions
R-flexiblas3.4.0-lp156.1.1\'FlexiBLAS\' API Interface
R-flexlsx0.2.1-lp156.2.1Exporting \'flextable\' to \'xlsx\' Files
R-flexmet1.1-lp156.1.1Flexible Latent Trait Metrics using the Filtered Monotonic P
R-flexmix2.3.19-lp156.1.1Flexible Mixture Modeling
R-flexmixNL0.0.1-lp156.2.1Finite Mixture Modeling of Generalized Nonlinear Models
R-flexOR1.0.0-lp156.2.1Flexible Odds Ratio Curves
R-flexrsurv2.0.18-lp156.1.1Flexible Relative Survival Analysis
R-flexsurvcure1.2.0-lp156.10.1Flexible Parametric Cure Models
R-FlickrAPI0.1.0.1-lp156.10.1Access to Flickr API
R-flifo0.1.5-lp156.8.1Don\'t Get Stuck with Stacks in R
R-flightplanning0.8.4-lp156.1.1UAV Flight Planning
R-flightsbr0.4.1-lp156.2.1Download Flight and Airport Data from Brazil
R-flimo0.1.5-lp156.1.1Fixed Landscape Inference Method
R-flip2.5.0-lp156.3.1Multivariate Permutation Tests
R-flipdownr0.1.1-lp156.7.1Implement a Countdown in \'RMarkdown\' Documents and \'shiny
R-flippant1.5.5-lp156.2.1Dithionite Scramblase Assay Analysis
R-flipscores1.2.0-lp156.1.1Robust Score Testing in GLMs, by Sign-Flip Contributions
R-FLLat1.2.1-lp156.3.1Fused Lasso Latent Feature Model
R-float0.3.2-lp156.1.132-Bit Floats
R-float-devel0.3.2-lp156.1.1Development files for float
R-flobr0.2.3-lp156.3.1Convert Files to and from Binary Objects (BLOBs)
R-flood0.1.1-lp156.8.1Statistical Methods for the (Regional) Analysis of Flood Fre
R-FloodFreqPlot0.1.0-lp156.1.1Flood Probability Plotting and Graphical Frequency Analysis
R-flora0.3.4-lp156.14.1Tools for Interacting with the Brazilian Flora 2020
R-florabr1.2.0-lp156.2.1Explore Flora e Funga do Brasil Database
R-flower1.0-lp156.2.1Tools for characterizing flowering traits
R-flowfield1.0-lp156.2.1Forecasts future values of a univariate time series.
R-flowr0.9.11-lp156.8.1Streamlining Design and Deployment of Complex Workflows
R-FlowRegEnvCost0.1.1-lp156.2.1The Environmental Costs of Flow Regulation
R-FlowScreen1.2.6-lp156.2.1Daily Streamflow Trend and Change Point Screening
R-flowTraceR0.1.0-lp156.8.1Tracing Information Flow for Inter-Software Comparisons in M
R-FLR1.0-lp156.2.1Fuzzy Logic Rule Classifier
R-flsa1.5.5-lp156.1.1Path Algorithm for the General Fused Lasso Signal Approximat
R-Fluidigm0.2-lp156.2.1Handling Fluidigm Data
R-FluMoDL0.0.3-lp156.2.1Influenza-Attributable Mortality with Distributed-Lag Models
R-fluoSurv1.0.0-lp156.2.1Estimate Insect Survival from Fluorescence Data
R-Flury0.1.3-lp156.2.1Data Sets from Flury, 1997
R-fluspect1.0.0-lp156.2.1Fluspect-B
R-flux0.3.0.1-lp156.1.1Flux Rate Calculation from Dynamic Closed Chamber Measuremen
R-fluxweb0.2.0-lp156.2.1Estimate Energy Fluxes in Food Webs
R-fma2.5-lp156.4.1Data Sets from \"Forecasting: Methods and Applications\" by
R-fmbasics0.3.0-lp156.13.1Financial Market Building Blocks
R-FMC1.0.1-lp156.1.1Factorial Experiments with Minimum Level Changes
R-fmcmc0.5.2-lp156.1.1A friendly MCMC framework
R-fmdates0.1.4-lp156.6.1Financial Market Date Calculations
R-FME1.3.6.3-lp156.1.1A Flexible Modelling Environment for Inverse Modelling, Sens
R-FMM0.3.1-lp156.2.1Rhythmic Patterns Modeling by FMM Models
R-FMP1.4-lp156.2.1Filtered Monotonic Polynomial IRT Models
R-fmpcloudr0.1.5-lp156.15.1R Access to the \'FMP Cloud\' and \'Financial Modeling Prep\
R-fMRIscrub0.14.5-lp156.2.1Scrubbing and Other Data Cleaning Routines for fMRI
R-fMRItools0.4.7-lp156.2.1Routines for Common fMRI Processing Tasks
R-fmsb0.7.6-lp156.1.1Functions for Medical Statistics Book with some Demographic
R-FMsmsnReg1.0-lp156.2.1Regression Models with Finite Mixtures of Skew Heavy-Tailed
R-FMStable0.1.4-lp156.1.1Finite Moment Stable Distributions
R-fnets0.1.6-lp156.2.1Factor-Adjusted Network Estimation and Forecasting for High-
R-FnR1.1.0-lp156.2.1Inbreeding and Numerator Relationship Coefficients
R-foba0.1-lp156.1.1greedy variable selection
R-FOCI0.1.3-lp156.1.1Feature Ordering by Conditional Independence
R-folderfun0.1.4-lp156.2.1Creates and Manages Folder Functions for Portable Large-Scal
R-folders0.1.0-lp156.2.1Standardized Folder Names
R-fontawesome0.5.2-lp156.4.1Easily work with \'Font Awesome\' Icons
R-fontBitstreamVera0.1.1-lp156.2.1Fonts with \'Bitstream Vera Fonts\' License
R-fontcm1.1-lp156.2.1Computer Modern font for use with extrafont package
R-fontLiberation0.1.0-lp156.2.1Liberation Fonts
R-fontquiver0.2.1-lp156.2.1Set of Installed Fonts
R-foodquotient0.1.1-lp156.1.1Food Quotient and Nutrient Analysis for HSFFQ
R-foolbox0.1.1-lp156.3.1Function Manipulation Toolbox
R-footballpenaltiesBL1.0.0-lp156.1.1Penalties in the German Men\'s Football Bundesliga
R-fOptions3042.86-lp156.2.1Rmetrics - Pricing and Evaluating Basic Options
R-forams2.0.6-lp156.1.1Foraminifera and Community Ecology Analyses
R-forcats1.0.0-lp156.1.1Tools for Working with Categorical Variables (Factors)
R-forceplate1.1.3-lp156.2.1Processing Force-Plate Data
R-forceR1.0.20-lp156.3.1Force Measurement Analyses
R-foreach1.5.2-lp156.1.1Provides Foreach Looping Construct
R-ForeCA0.2.7-lp156.6.1Forecastable Component Analysis
R-forecastLSW1.0-lp156.3.1Forecasting Routines for Locally Stationary Wavelet Processe
R-forecastML0.9.0-lp156.20.1Time Series Forecasting with Machine Learning Methods
R-ForecastTB1.0.1-lp156.5.1Test Bench for the Comparison of Forecast Methods
R-ForeComp0.9.0-lp156.2.1Size-Power Tradeoff Visualization for Equal Predictive Abili
R-forecTheta2.6.2-lp156.5.1Forecasting Time Series by Theta Models
R-forensic0.2-lp156.2.1Statistical Methods in Forensic Genetics
R-forestat1.1.0-lp156.1.1Forest Carbon Sequestration and Potential Productivity Calcu
R-ForestDisc0.1.0-lp156.11.1Forest Discretization
R-forestError1.1.0-lp156.3.1A Unified Framework for Random Forest Prediction Error Estim
R-ForestFit2.2.3-lp156.1.1Statistical Modelling for Plant Size Distributions
R-ForestGapR0.1.7-lp156.6.1Tropical Forest Canopy Gaps Analysis
R-forestHES1.0.1-lp156.2.1Forest Health Evaluation System at the Forest Stand Level in
R-forestinventory1.0.0-lp156.15.1Design-Based Global and Small-Area Estimations for Multiphas
R-forestmodel0.6.2-lp156.16.1Forest Plots from Regression Models
R-forestploter1.1.2-lp156.2.1Create a Flexible Forest Plot
R-forestr2.0.2-lp156.18.1Ecosystem and Canopy Structural Complexity Metrics from LiDA
R-forestry0.1.1-lp156.2.1Reshape Data Tree
R-forestSAS1.0.1-lp156.1.1Forest Spatial Structure Analysis Systems
R-foretell0.2.0-lp156.11.1Projecting Customer Retention Based on Fader and Hardie Prob
R-forge0.2.0-lp156.3.1Casting Values into Shape
R-forImage0.1.0-lp156.13.1Foraminiferal Image Analysis and Test Measurement
R-ForImp1.0.3-lp156.5.1Imputation of Missing Values Through a Forward Imputation Al
R-ForIT2.4.0-lp156.1.1Functions to Estimate Tree Volume and Phytomass in the Itali
R-FormalSeries1.0-lp156.2.1Elementary arithemtic in formal series rings
R-formatBibtex0.1.0-lp156.1.1Format BibTeX Entries and Files
R-formatdown0.1.4-lp156.2.1Formatting Numbers in \'rmarkdown\' Documents
R-formatR1.14-lp156.1.1Format R Code Automatically
R-FormShare1.0.1-lp156.1.1A Simple Connection Between the \'FormShare App\' and \'R\'
R-Formula1.2.5-lp156.1.1Extended Model Formulas
R-formula.tools1.7.1-lp156.2.1Programmatic Utilities for Manipulating Formulas, Expression
R-formulaic0.0.8-lp156.1.1Dynamic Generation and Quality Checks of Formula Objects
R-formulops0.5.0-lp156.2.1Mathematical Operations on R Formula
R-forplo0.2.5-lp156.1.1Flexible Forest Plots
R-forstringr1.0.0-lp156.2.1String Manipulation Package for Those Familiar with \'Micros
R-fortunes1.5.4-lp156.2.1R Fortunes
R-forwards0.1.3-lp156.2.1Data from Surveys Conducted by Forwards
R-ForwardSearch1.0-lp156.2.1Forward Search using asymptotic theory
R-fossil0.4.0-lp156.2.1Palaeoecological and Palaeogeographical Analysis Tools
R-FossilSim2.3.3-lp156.2.1Simulation of Fossil and Taxonomy Data
R-FossilSimShiny1.1.2-lp156.3.1Shiny Application for \'FossilSim\'
R-foster0.1.1-lp156.14.1Forest Structure Extrapolation with R
R-foto1.1-lp156.1.1Fourier Transform Textural Ordination
R-FourgameteP0.1.0-lp156.2.1FourGamete Test
R-FourScores1.5.1-lp156.2.1A Game for Human vs. Human or Human vs. AI
R-FourWayHMM1.0.0-lp156.8.1Parsimonious Hidden Markov Models for Four-Way Data
R-fpa1.0-lp156.10.1Spatio-Temporal Fixation Pattern Analysis
R-fpc2.2.12-lp156.2.1Flexible procedures for clustering
R-fpca0.2.1-lp156.2.1Restricted MLE for Functional Principal Components Analysis
R-FPCA2D1.0-lp156.2.1Two Dimensional Functional Principal Component Analysis
R-FPCA3D1.0-lp156.2.1Three Dimensional Functional Component Analysis
R-fpcb0.1.0-lp156.1.1Predictive Confidence Bands for Functional Time Series Forec
R-fpCompare0.2.4-lp156.1.1Reliable Comparison of Floating Point Numbers
R-fpest0.1.1-lp156.2.1Estimating Finite Population Total
R-FPLdata0.1.0-lp156.7.1Read in Fantasy Premier League Data
R-fplyr1.3.0-lp156.1.1Apply Functions to Blocks of Files
R-fpmoutliers0.1.0-lp156.4.1Frequent Pattern Mining Outliers
R-fpop2019.08.26-lp156.2.1Segmentation using Optimal Partitioning and Function Pruning
R-fpopw1.1-lp156.1.1Weighted Segmentation using Functional Pruning and Optimal P
R-fpow0.0.2-lp156.2.1Computing the noncentrality parameter of the noncentral F di
R-fpp0.5-lp156.17.1Data for \"Forecasting: principles and practice\"
R-fpp22.5-lp156.4.1Data for \"Forecasting: Principles and Practice\" (2nd Editi
R-fptdApprox2.5-lp156.1.1Approximation of First-Passage-Time Densities for Diffusion
R-FPV0.5-lp156.2.1Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment
R-fqacalc1.1.0-lp156.1.1Calculate Floristic Quality Assessment Metrics
R-fqadata1.1.0-lp156.1.1Contains Regional Floristic Quality Assessment Databases
R-fr0.5.1-lp156.1.1Frictionless Standards
R-fracdiff1.5.3-lp156.1.1Fractionally differenced ARIMA aka ARFIMA(p,d,q) models
R-fracdist0.1.1-lp156.1.1Numerical CDFs for Fractional Unit Root and Cointegration Te
R-fracprolif1.0.7-lp156.2.1Fraction Proliferation via a Quiescent Growth Model
R-fractaldim0.8.5-lp156.1.1Estimation of Fractal Dimensions
R-FractalParameterEstimation1.1.2-lp156.2.1Simulation and Parameter Estimation of Randomized Sierpinski
R-FRACTION1.1.1-lp156.1.1Numeric Number into Fraction
R-Fragman1.0.9-lp156.2.1Fragment Analysis in R
R-frailtyHL2.3-lp156.2.1Frailty Models via Hierarchical Likelihood
R-frair0.5.100-lp156.3.1Tools for Functional Response Analysis
R-frambgrowth0.1.0-lp156.2.1Simulation of the Growth of Framboidal and Sunflower Pyrite
R-Frames20.2.1-lp156.2.1Estimation in Dual Frame Surveys
R-franc1.1.4-lp156.1.1Detect the Language of Text
R-FRAPO0.4.1-lp156.3.1Financial Risk Modelling and Portfolio Optimisation with R
R-frapplot0.1.3-lp156.2.1Automatic Data Processing and Visualization for FRAP
R-frbinom1.0.0-lp156.1.1Fractional Binomial Distributions
R-frbs3.2.0-lp156.2.1Fuzzy Rule-Based Systems for Classification and Regression T
R-FRCC1.1.0-lp156.1.1Fast Regularized Canonical Correlation Analysis
R-fredr2.1.0-lp156.9.1An R Client for the \'FRED\' API
R-freebird1.0-lp156.1.1Estimation and Inference for High Dimensional Mediation and
R-freecurrencyapi0.1.0-lp156.1.1Client for the \'freecurrencyapi.com\' Currency Conversion A
R-freedom1.0.1-lp156.2.1Demonstration of Disease Freedom (DDF)
R-freesurfer1.6.10-lp156.2.1Wrapper Functions for \'Freesurfer\'
R-freesurferformats0.1.18-lp156.1.1Read and Write \'FreeSurfer\' Neuroimaging File Formats
R-FREG1.1-lp156.1.1Functional Regression Models
R-fRegression4021.83-lp156.1.1Rmetrics - Regression Based Decision and Prediction
R-frenchCurve0.2.0-lp156.1.1Generate Open or Closed Interpolating Curves
R-frenchdata0.2.0-lp156.10.1Download Data Sets from Kenneth\'s French Finance Data Libra
R-FREQ1.0-lp156.2.1FREQ: Estimate population size from capture frequencies
R-freqdist0.1-lp156.2.1Frequency Distribution
R-freqdistributionNogives0.1.1-lp156.1.1Automated Cumulative Frequency Plots for Grouped Distributio
R-freqdom2.0.5-lp156.2.1Frequency Domain Based Analysis: Dynamic PCA
R-freqdom.fda1.0.1-lp156.7.1Functional Time Series: Dynamic Functional Principal Compone
R-freqpcr0.4.0-lp156.2.1Estimates Allele Frequency on qPCR DeltaDeltaCq from Bulk Sa
R-FreqProf0.0.1-lp156.20.1Frequency Profiles Computing and Plotting
R-freqtables0.1.1-lp156.8.1Make Quick Descriptive Tables for Categorical Variables
R-frequentdirections0.1.0-lp156.14.1Implementation of Frequent-Directions Algorithm for Efficien
R-frequentistSSD0.1.1-lp156.1.1Screened Selection Design with Survival Endpoints
R-freshr1.0.2-lp156.1.1Make R Environment Fresh Again
R-FrF22.3.3-lp156.2.1Fractional Factorial designs with 2-level factors
R-FrF2.catlg1281.2.3-lp156.2.1Catalogues of Resolution IV 128 Run 2-Level Fractional Facto
R-FRI1.0-lp156.5.1Relative Importance of Main and Interaction Effects
R-friends0.1.0-lp156.11.1The Entire Transcript from Friends in Tidy Format
R-fritools4.3.0-lp156.1.1Utilities for the Forest Research Institute of the State Bad
R-fritools24.1.0-lp156.1.1Utilities for the Forest Research Institute of the State Bad
R-frm1.2.2-lp156.2.1Regression Analysis of Fractional Responses
R-frmhet1.1.3-lp156.2.1Regression Analysis of Fractional Responses Under Unobserved
R-frmpd1.1.0-lp156.2.1Regression Analysis of Panel Fractional Responses
R-frontier1.1.8-lp156.6.1Stochastic Frontier Analysis
R-frost0.0.4-lp156.2.1Prediction of Minimum Temperature for Frost Forecasting in A
R-frostr0.2.0-lp156.14.1R API to MET Norway\'s \'Frost\' API
R-froth1.1.0-lp156.2.1Emulate a \'Forth\' Programming Environment
R-frt0.1-lp156.2.1Full Randomization Test
R-fruclimadapt0.4.5-lp156.1.1Evaluation Tools for Assessing Climate Adaptation of Fruit T
R-fs1.6.4-lp156.2.1Cross-Platform File System Operations Based on \'libuv\'
R-FSAdata0.4.1-lp156.1.1Data to Support Fish Stock Assessment (\'FSA\') Package
R-FSAtools2.0.5-lp156.1.1Fragment Analysis and Capillary Sequencing Tool Kit
R-fscache1.0.5-lp156.1.1File System Cache
R-fsemipar1.1.1-lp156.2.1Estimation, Variable Selection and Prediction for Functional
R-fsia1.1.1-lp156.2.1Import and Analysis of OMR Data from FormScanner
R-FSinR2.0.5-lp156.21.1Feature Selection
R-fslr2.25.3-lp156.2.1Wrapper Functions for \'FSL\' (\'FMRIB\' Software Library) f
R-FSM1.0.0-lp156.1.1Finite Selection Model
R-FSMUMI1.0-lp156.12.1Imputation of Time Series Based on Fuzzy Logic
R-fso2.1.2-lp156.2.1Fuzzy Set Ordination
R-fSRM0.6.5-lp156.12.1Social Relations Analyses with Roles (\"Family SRM\")
R-fst4pg1.0.0-lp156.9.1Genetic Distance Segmentation for Population Genetics
R-Fstability0.1.2-lp156.2.1Calculate Feature Stability
R-fsthet1.0.1-lp156.2.1Fst-Heterozygosity Smoothed Quantiles
R-ftaproxim0.0.1-lp156.6.1Fault Tree Analysis Based on Proxel Simulation
R-ftDK1.0-lp156.16.1A Wrapper for the API of the Danish Parliament
R-FTICRMS0.8-lp156.2.1Programs for Analyzing Fourier Transform-Ion Cyclotron Reson
R-ftnonpar0.1.88-lp156.2.1Features and Strings for Nonparametric Regression
R-fTrading3042.79-lp156.2.1Rmetrics - Trading and Rebalancing Financial Instruments
R-ftrCOOL2.0.0-lp156.1.1Feature Extraction from Biological Sequences
R-fts0.9.9.2-lp156.2.1R Interface to \'tslib\' (a Time Series Library in C++)
R-ftsspec1.0.0-lp156.12.1Spectral Density Estimation and Comparison for Functional Ti
R-fuel1.2.0-lp156.2.1Framework for Unified Estimation in Lognormal Models
R-fueleconomy1.0.0-lp156.2.1EPA Fuel Economy Data
R-fugue0.1.7-lp156.2.1Sensitivity Analysis Optimized for Matched Sets of Varied Si
R-fuj0.2.1-lp156.2.1Functions and Utilities for Jordan
R-fullROC0.1.0-lp156.1.1Plot Full ROC Curves using Eyewitness Lineup Data
R-fun0.3-lp156.2.1Use R for Fun
R-FunCC1.0-lp156.17.1Functional Cheng and Church Bi-Clustering
R-funchir0.2.2-lp156.1.1Convenience Functions by Michael Chirico
R-FuncMap1.0.10-lp156.2.1Hive Plots of R Package Function Calls
R-functClust0.1.6-lp156.2.1Functional Clustering of Redundant Components of a System
R-functional0.6-lp156.2.1Curry, Compose, and other higher-order functions
R-functiondepends0.2.3-lp156.9.1Find Functions and their Dependencies
R-functools0.2.0-lp156.2.1Functional Programming in R
R-funData1.3.9-lp156.1.1An S4 Class for Functional Data
R-fundiversity1.1.1-lp156.2.1Easy Computation of Functional Diversity Indices
R-funFEM1.2-lp156.8.1Clustering in the Discriminative Functional Subspace
R-funHDDC2.3.1-lp156.10.1Univariate and Multivariate Model-Based Clustering in Group-
R-funique0.0.1-lp156.2.1A Faster Unique Function
R-fUnitRoots4040.81-lp156.2.1Rmetrics - Modelling Trends and Unit Roots
R-funLBM2.3-lp156.8.1Model-Based Co-Clustering of Functional Data
R-funneljoin0.2.0-lp156.3.1Time-Based Joins to Analyze Sequences of Events
R-FunnelPlotR0.5.0-lp156.2.1Funnel Plots for Comparing Institutional Performance
R-funnelR0.1.0-lp156.14.1Funnel Plots for Proportion Data
R-funpca9.0-lp156.2.1Functional Principal Component Analysis
R-funprog0.3.0-lp156.2.1Functional Programming
R-funr0.3.2-lp156.2.1Simple Utility Providing Terminal Access to all R Functions
R-funrar1.5.0-lp156.1.1Functional Rarity Indices Computation
R-funreg1.2.2-lp156.1.1Functional Regression for Irregularly Timed Data
R-funspace0.2.2-lp156.1.1Creating and Representing Functional Trait Spaces
R-funStatTest1.0.3-lp156.2.1Statistical Testing for Functional Data
R-FUNTA0.1.0-lp156.2.1Functional Tangential Angle Pseudo-Depth
R-furrr0.3.1-lp156.3.1Apply Mapping Functions in Parallel using Futures
R-fusedMGM0.1.0.1-lp156.1.1Implementation of Fused MGM to Infer 2-Class Networks
R-fusionclust1.0.0-lp156.2.1Clustering and Feature Screening using L1 Fusion Penalty
R-FusionLearn0.2.1-lp156.1.1Fusion Learning
R-futile.logger1.4.3-lp156.2.1A logging utility for R
R-futile.options1.0.1-lp156.2.1Futile options management
R-futile.paradigm2.0.4-lp156.2.1A framework for working in a functional programming paradigm
R-futility0.4-lp156.2.1Interim Analysis of Operational Futility in Randomized Trial
R-future.apply1.11.2-lp156.2.1Apply Function to Elements in Parallel using Futures
R-future.BatchJobs0.16.2-lp156.3.1A Future API for Parallel and Distributed Processing using B
R-future.batchtools0.12.1-lp156.2.1A Future API for Parallel and Distributed Processing using \
R-future.callr0.8.2-lp156.1.1A Future API for Parallel Processing using \'callr\'
R-future.tests0.7.0-lp156.1.1Test Suite for \'Future API\' Backends
R-futureverse0.1.0-lp156.1.1Easily Install and Load the \'Futureverse\'
R-fuzzr0.2.2-lp156.10.1Fuzz-Test R Functions
R-Fuzzy.p.value1.1-lp156.2.1Computing Fuzzy p-Value
R-FuzzyAHP0.9.5-lp156.2.1(Fuzzy) AHP Calculation
R-FuzzyClass0.1.6-lp156.1.1Fuzzy and Non-Fuzzy Classifiers
R-fuzzyFDR1.0-lp156.2.1Exact calculation of fuzzy decision rules for multiple testi
R-fuzzyforest1.0.8-lp156.14.1Fuzzy Forests
R-fuzzyjoin0.1.6-lp156.18.1Join Tables Together on Inexact Matching
R-FuzzyLP0.1.7-lp156.1.1Fuzzy Linear Programming
R-FuzzyM0.1.0-lp156.1.1Fuzzy Cognitive Maps Operations
R-FuzzyMCDM1.1-lp156.2.1Multi-Criteria Decision Making Methods for Fuzzy Data
R-FuzzyNumbers0.4.7-lp156.1.1Tools to Deal with Fuzzy Numbers
R-FuzzyNumbers.Ext.23.2-lp156.2.1Apply Two Fuzzy Numbers on a Monotone Function
R-FuzzyQ0.1.0-lp156.1.1Fuzzy Quantification of Common and Rare Species
R-FuzzyR2.3.2-lp156.10.1Fuzzy Logic Toolkit for R
R-fuzzyRankTests0.4-lp156.1.1Fuzzy Rank Tests and Confidence Intervals
R-fuzzyreg0.6.2-lp156.1.1Fuzzy Linear Regression
R-fuzzySim4.10.7-lp156.1.1Fuzzy Similarity in Species Distributions
R-FuzzyStatProb2.0.4-lp156.4.1Fuzzy Stationary Probabilities from a Sequence of Observatio
R-FuzzyStatTra1.0-lp156.2.1Statistical Methods for Trapezoidal Fuzzy Numbers
R-FuzzyStatTraEOO1.0-lp156.2.1Package \'FuzzyStatTra\' in Encapsulated Object Oriented Pro
R-FuzzyToolkitUoN1.0-lp156.2.1Type 1 Fuzzy Logic Toolkit
R-fuzzywuzzyR1.0.5-lp156.5.1Fuzzy string matching
R-fwb0.2.0-lp156.1.1Fractional Weighted Bootstrap
R-FWDselect2.1.0-lp156.2.1Selecting Variables in Regression Models
R-fwi.fbp1.7-lp156.2.1Fire Weather Index System and Fire Behaviour Prediction Syst
R-fxl1.7.1-lp156.1.1\'fxl\' Single Case Design Charting Package
R-fxtract0.9.4-lp156.3.1Feature Extraction from Grouped Data
R-fy0.4.2-lp156.1.1Utilities for Financial Years
R-g.data2.4.1-lp156.1.1Delayed-Data Packages
R-g.ridge1.0-lp156.1.1Generalized Ridge Regression for Linear Models
R-G1DBN3.1.1-lp156.2.1A package performing Dynamic Bayesian Network inference.
R-GAabbreviate1.3-lp156.7.1Abbreviating Items Measures using Genetic Algorithms
R-GABi0.1-lp156.2.1Framework for Generalized Subspace Pattern Mining
R-GACFF1.0-lp156.2.1Genetic Similarity in User-Based Collaborative Filtering
R-GAD2.0-lp156.2.1Analysis of Variance from General Principles
R-gadget22.3.11-lp156.1.1Gadget is the Globally-Applicable Area Disaggregated General
R-GaDiFPT1.0-lp156.2.1First Passage Time Simulation for Gaussian Diffusion Process
R-gafit0.5.1-lp156.2.1Genetic Algorithm for Curve Fitting
R-GAGBLUP1.0-lp156.1.1Genetic Algorithm Assisted Genomic Best Liner Unbiased Predi
R-gaiah0.0.5-lp156.2.1Genetic and Isotopic Assignment Accounting for Habitat Suita
R-gainML0.1.0-lp156.11.1Machine Learning-Based Analysis of Potential Power Gain from
R-gains1.2-lp156.2.1Lift (Gains) Tables and Charts
R-GAIPE1.1-lp156.1.1Graphical Extension with Accuracy in Parameter Estimation (G
R-galigor0.2.5-lp156.15.1Collection of Packages for Internet Marketing
R-galts1.3.2-lp156.1.1Genetic Algorithms and C-Steps Based LTS (Least Trimmed Squa
R-galvanizer0.5.3-lp156.13.1Interface to Galvanize \'Highbond\' Internal Audit Software
R-gamair1.0.2-lp156.2.1Data for \'GAMs: An Introduction with R\'
R-gambin2.5.0-lp156.1.1Fit the Gambin Model to Species Abundance Distributions
R-GAMBoost1.2.3-lp156.1.1Generalized linear and additive models by likelihood based
R-gamboostLSS2.0.7-lp156.1.1Boosting Methods for \'GAMLSS\'
R-gamboostMSM1.1.88-lp156.1.1Boosting Multistate Models
R-gamCopula0.0.7-lp156.7.1Generalized Additive Models for Bivariate Conditional Depend
R-GAMens1.2.1-lp156.3.1Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for B
R-gameofthrones1.0.2-lp156.11.1Palettes Inspired in the TV Show \"Game of Thrones\"
R-gameR0.0.6-lp156.2.1Color Palettes Inspired by Video Games
R-games1.1.2-lp156.5.1Statistical Estimation of Game-Theoretic Models
R-gamesGA1.1.3.7-lp156.13.1Genetic Algorithm for Sequential Symmetric Games
R-GameTheory2.7.1-lp156.1.1Cooperative Game Theory
R-GameTheoryAllocation1.0-lp156.4.1Tools for Calculating Allocations in Game Theory
R-gamlr1.13.8-lp156.1.1Gamma Lasso Regression
R-gamlss5.4.22-lp156.2.1Generalized Additive Models for Location Scale and Shape
R-gamlss.add5.1.13-lp156.2.1Extra Additive Terms for Generalized Additive Models for Loc
R-gamlss.cens5.0.7-lp156.1.1Fitting an Interval Response Variable Using `gamlss.family\'
R-gamlss.countKinf3.5.1-lp156.2.1Generating and Fitting K-Inflated \'discrete gamlss.family\'
R-gamlss.data6.0.6-lp156.2.1Data for Generalised Additive Models for Location Scale and
R-gamlss.demo4.3.3-lp156.1.1Demos for GAMLSS
R-gamlss.dist6.1.1-lp156.1.1Distributions for Generalized Additive Models for Location S
R-gamlss.inf1.0.1-lp156.2.1Fitting Mixed (Inflated and Adjusted) Distributions
R-gamlss.mx6.0.1-lp156.1.1Fitting Mixture Distributions with GAMLSS
R-gamlss.nl4.1.0-lp156.2.1Fitting non linear parametric GAMLSS models
R-gamlss.spatial3.0.2-lp156.2.1Spatial Terms in Generalized Additive Models for Location Sc
R-gamlss.tr5.1.9-lp156.1.1Generating and Fitting Truncated `gamlss.family\' Distributi
R-gamlssbssn0.1.0-lp156.2.1Bimodal Skew Symmetric Normal Distribution
R-gamma1.0.5-lp156.2.1Dose Rate Estimation from in-Situ Gamma-Ray Spectrometry Mea
R-Gammareg3.0.1-lp156.1.1Classic Gamma Regression: Joint Modeling of Mean and Shape P
R-gammSlice2.0.2-lp156.2.1Generalized Additive Mixed Model Analysis via Slice Sampling
R-gamRR0.7.0-lp156.2.1Calculate the RR for the GAM
R-ganalytics0.10.7-lp156.18.1Interact with \'Google Analytics\'
R-GANPA1.2-lp156.2.1Gene Association Network-Based Pathway Analysis (GANPA)
R-GANPAdata1.0-lp156.2.1The GANPA Datasets Package
R-gap.datasets0.0.6-lp156.1.1Datasets for \'gap\'
R-GAparsimony0.9.5-lp156.1.1Searching Parsimony Models with Genetic Algorithms
R-gapmap1.0.0-lp156.1.1Drawing Gapped Cluster Heatmaps with \'ggplot2\'
R-gapminder1.0.0-lp156.1.1Data from Gapminder
R-GARCHIto0.1.0-lp156.2.1Class of GARCH-Ito Models
R-GARCHSK0.1.0-lp156.1.1Estimating a GARCHSK Model and GJRSK Model
R-garchx1.5-lp156.1.1Flexible and Robust GARCH-X Modelling
R-gargle1.5.2-lp156.1.1Utilities for Working with Google APIs
R-gargoyle0.0.1-lp156.11.1An Event-Based Mechanism for \'Shiny\'
R-garray1.1.2-lp156.2.1Generalized Array Arithmetic for Ragged Arrays with Named Ma
R-gasmodel0.6.0-lp156.2.1Generalized Autoregressive Score Models
R-gatepoints0.1.5-lp156.1.1Easily Gate or Select Points on a Scatter Plot
R-gateR0.1.15-lp156.1.1Flow/Mass Cytometry Gating via Spatial Kernel Density Estima
R-gauseR1.2-lp156.1.1Lotka-Volterra Models for Gause\'s \'Struggle for Existence\
R-gausscov1.1.3-lp156.2.1The Gaussian Covariate Method for Variable Selection
R-gaussDiff1.1-lp156.2.1Difference measures for multivariate Gaussian probability de
R-gaussfacts0.0.2-lp156.2.1The Greatest Mathematician Since Antiquity
R-GaussianHMM1d1.1.1-lp156.1.1Inference, Goodness-of-Fit and Forecast for Univariate Gauss
R-gaussquad1.0.3-lp156.1.1Collection of Functions for Gaussian Quadrature
R-gawdis0.1.5-lp156.1.1Multi-Trait Dissimilarity with more Uniform Contributions
R-gazepath1.3-lp156.12.1Parse Eye-Tracking Data into Fixations
R-gb2.3.3-lp156.2.1Generalize Lambda Distribution and Generalized Bootstrapping
R-GB22.1.1-lp156.4.1Generalized Beta Distribution of the Second Kind: Properties
R-GB2group0.3.0-lp156.4.1Estimation of the Generalised Beta Distribution of the Secon
R-GBcurves0.1.6-lp156.1.1Yield Curves of Brazil, China, and Russia
R-gbfs1.3.9-lp156.1.1Interface with Live Bikeshare Data
R-gbifdb1.0.0-lp156.2.1High Performance Interface to \'GBIF\'
R-gbm.auto1.5.0-lp156.6.1Automated Boosted Regression Tree Modelling and Mapping Suit
R-gbm2sas3.0-lp156.1.1Convert GBM Object Trees to SAS Code
R-gbmt0.1.3-lp156.1.1Group-Based Multivariate Trajectory Modeling
R-gbRd0.4.12-lp156.2.1Utilities for Processing Rd Objects and Files
R-gbts1.2.0-lp156.3.1Hyperparameter Search for Gradient Boosted Trees
R-gbutils0.5-lp156.1.1Utilities for Simulation, Plots, Quantile Functions and Prog
R-GCAI.bias1.0-lp156.2.1Guided Correction Approach for Inherited bias (GCAI.bias)
R-GCalcium1.0.0-lp156.12.1A Data Manipulation and Analysis Package for Calcium Indicat
R-gCat0.2-lp156.1.1Graph-Based Two-Sample Tests for Categorical Data
R-gcbd0.2.6-lp156.9.1\'GPU\'/CPU Benchmarking in Debian-Based Systems
R-GCCfactor1.0.1-lp156.2.1GCC Estimation of the Multilevel Factor Model
R-GCD4.0.7-lp156.6.1Global Charcoal Database
R-gcdnet1.0.6-lp156.1.1The (Adaptive) LASSO and Elastic Net Penalized Least Squares
R-gcerisk19.05.24-lp156.14.1Generalized Competing Event Model
R-gcite0.10.1-lp156.12.1Google Citation Parser
R-gclm0.0.1-lp156.2.1Graphical Continuous Lyapunov Models
R-gclus1.3.2-lp156.2.1Clustering Graphics
R-gconcord0.41-lp156.2.1Concord method for Graphical Model Selection
R-gcookbook2.0-lp156.2.1Data for \"R Graphics Cookbook\"
R-gcTensor1.0.0-lp156.1.1Generalized Coupled Tensor Factorization
R-gcxgclab1.0.1-lp156.1.1GCxGC Preprocessing and Analysis
R-GD10.3-lp156.1.1Geographical Detectors for Assessing Spatial Factors
R-GDAdata0.93-lp156.2.1Datasets for the Book Graphical Data Analysis with R
R-gdalUtils2.0.3.2-lp156.3.1Wrappers for the Geospatial Data Abstraction Library (GDAL)
R-gdata3.0.0-lp156.1.1Various R programming tools for data manipulation
R-gDefrag0.3-lp156.6.1Graph-Based Landscape De-Fragmentation
R-GDELTtools1.7-lp156.2.1Download, Slice, and Normalize GDELT V1 Event and Sentiment
R-gdi1.6.0-lp156.2.1Volumetric Analysis using Graphic Double Integration
R-gdim0.1.0-lp156.2.1Estimate Graph Dimension using Cross-Validated Eigenvalues
R-gdistance1.6.4-lp156.4.1Distances and Routes on Geographical Grids
R-gdldata0.1-lp156.2.1\'Global Data Lab\' R API
R-gdns0.5.0-lp156.4.1Tools to Work with Google\'s \'DNS\'-over-\'HTTPS\' (\'DoH\'
R-gds0.1.1-lp156.1.1Descriptive Statistics of Grouped Data
R-GDSARM0.1.1-lp156.1.1Gauss - Dantzig Selector: Aggregation over Random Models
R-gdxdt0.1.0-lp156.2.1IO for GAMS GDX Files using \'data.table\'
R-geboes.score1.0.0-lp156.1.1Evaluate the Geboes Score for Histology in Ulcerative Coliti
R-gee4.13.27-lp156.2.1Generalized Estimation Equation solver
R-geeCRT1.1.3-lp156.1.1Bias-Corrected GEE for Cluster Randomized Trials
R-geeM0.10.1-lp156.2.1Solve Generalized Estimating Equations
R-GEEmediate1.1.4-lp156.1.1Mediation Analysis for Generalized Linear Models Using the D
R-geesmv1.3-lp156.3.1Modified Variance Estimators for Generalized Estimating Equa
R-geigen2.3-lp156.2.1Calculate Generalized Eigenvalues, the Generalized Schur Dec
R-gelnet1.2.1-lp156.2.1Generalized Elastic Nets
R-GEmetrics1.0.0-lp156.2.1Best Linear Unbiased Prediction of Genotype-by-Environment M
R-gemlog0.41-lp156.2.1File Conversion for \'Gem Infrasound Logger\'
R-gemma20.1.3-lp156.2.1GEMMA Multivariate Linear Mixed Model
R-gen2stage1.0-lp156.2.1Generalized Two-Stage Designs for Phase II Single-Arm Studie
R-gen5helper1.0.1-lp156.17.1Processing \'Gen5\' 2.06 Exported Data
R-genalg0.2.1-lp156.1.1R Based Genetic Algorithm
R-genasis1.0-lp156.2.1Global ENvironmental ASsessment Information System (GENASIS)
R-GenBinomApps1.2.1-lp156.2.1Clopper-Pearson Confidence Interval and Generalized Binomial
R-gencor1.0.2-lp156.1.1Generate Customized Correlation Matrices
R-genCountR1.0.0-lp156.1.1Interacting with Roberts and Utych\'s (2019) Gendered Langua
R-gendata1.2.0-lp156.1.1Generate and Modify Synthetic Datasets
R-gender0.6.0-lp156.8.1Predict Gender from Names Using Historical Data
R-genderBR1.1.2-lp156.11.1Predict Gender from Brazilian First Names
R-GenderInfer0.1.0-lp156.7.1This is a Collection of Functions to Analyse Gender Differen
R-gendist2.0-lp156.2.1Generated Probability Distribution Models
R-GENEAclassify1.5.5-lp156.1.1Segmentation and Classification of Accelerometer Data
R-GENEAread2.0.10-lp156.2.1Package for Reading Binary Files
R-GeneClusterNet1.0.1-lp156.2.1Gene Expression Clustering and Gene Network
R-GeneCycle1.1.5-lp156.1.1Identification of Periodically Expressed Genes
R-GeneF1.0.1-lp156.1.1Package for Generalized F-statistics
R-geneHummus1.0.11-lp156.17.1A Pipeline to Define Gene Families in Legumes and Beyond
R-geneListPie1.0-lp156.2.1Profiling a gene list into GOslim or KEGG function pie
R-genemodel1.1.0-lp156.7.1Gene Model Plotting in R
R-GeneNet1.2.16-lp156.1.1Modeling and Inferring Gene Networks
R-genepi1.0.3-lp156.1.1Genetic Epidemiology Design and Inference
R-generalhoslem1.3.4-lp156.3.1Goodness of Fit Tests for Logistic Regression Models
R-GeneralisedCovarianceMeasure0.2.0-lp156.1.1Test for Conditional Independence Based on the Generalized C
R-GeneralizedHyperbolic0.8.6-lp156.1.1The Generalized Hyperbolic Distribution
R-GeneralOaxaca1.0-lp156.2.1Blinder-Oaxaca Decomposition for Generalized Linear Model
R-generator0.1.0-lp156.2.1Generate Data Containing Fake Personally Identifiable Inform
R-generics0.1.3-lp156.1.1Common S3 Generics not Provided by Base R Methods Related to
R-genero0.1.0-lp156.2.1Estimate Gender from Names in Spanish and Portuguese
R-GeneScape1.0-lp156.1.1Simulation of Single Cell RNA-Seq Data with Complex Structur
R-geneset0.2.7-lp156.4.1Get Gene Sets for Gene Enrichment Analysis
R-geneSignatureFinder2014.02.17-lp156.2.1A Gene-signatures finder tools
R-genesysr2.1.1-lp156.1.1Genesys PGR Client
R-genetics1.3.8.1.3-lp156.1.1Population Genetics
R-GeneticSubsetter0.8-lp156.2.1Identify Favorable Subsets of Germplasm Collections
R-GeNetIt0.1.6-lp156.2.1Spatial Graph-Theoretic Genetic Gravity Modelling
R-genfrn0.1.4-lp156.1.1Generating Triangular and Trapezoidal Fuzzy Random Numbers v
R-geniusr1.2.1-lp156.5.1Tools for Working with the \'Genius\' API
R-GenKern1.2.60-lp156.2.1Functions for generating and manipulating binned kernel dens
R-genlasso1.6.1-lp156.5.1Path Algorithm for Generalized Lasso Problems
R-genlogis1.0.2-lp156.1.1Generalized Logistic Distribution
R-GENMETA0.2.0-lp156.2.1Implements Generalized Meta-Analysis Using Iterated Reweight
R-genomeplot1.0-lp156.14.1\'Plot genome wide values for all chromosomes\'
R-genomic.autocorr1.0.1-lp156.3.1Models Dealing with Spatial Dependency in Genomic Data
R-genomicper1.6-lp156.2.1Circular Genomic Permutation using Gwas p-Values of Associat
R-genoPlotR0.8.11-lp156.5.1Plot Publication-Grade Gene and Genome Maps
R-GenOrd1.4.0-lp156.2.1Simulation of Discrete Random Variables with Given Correlati
R-genpwr1.0.4-lp156.8.1Power Calculations Under Genetic Model Misspecification
R-genscore1.0.2.2-lp156.2.1Generalized Score Matching Estimators
R-genSEIR0.1.1-lp156.7.1Predict Epidemic Curves with Generalized SEIR Modeling
R-genset0.1.0-lp156.2.1Generates Data Sets for Class Demonstrations
R-genstab1.0.0-lp156.1.1Resampling Based Yield Stability Analyses
R-genSurv1.0.4-lp156.1.1Generating Multi-State Survival Data
R-gensvm0.1.7-lp156.1.1A Generalized Multiclass Support Vector Machine
R-GenTag1.0-lp156.2.1Generate Color Tag Sequences
R-genTS0.1.4-lp156.7.1R Shiny App for Creating Simplified Trial Summary (TS) Domai
R-GenWin1.0-lp156.1.1Spline Based Window Boundaries for Genomic Analyses
R-geoarrow0.2.1-lp156.1.1Extension Types for Spatial Data for Use with \'Arrow\'
R-geoaxe0.1.0-lp156.2.1Split \'Geospatial\' Objects into Pieces
R-GeoBoxplot1.0-lp156.2.1Geographic Box Plot
R-geocacheR0.1.0-lp156.11.1Tools for Geocaching
R-geodaData0.1.0-lp156.2.1Spatial Analysis Datasets for Teaching
R-geodata0.6.2-lp156.1.1Download Geographic Data
R-GeoDE1.0-lp156.2.1A geometrical Approach to Differential expression and gene-s
R-geodist0.1.0-lp156.2.1Fast, Dependency-Free Geodesic Distance Calculations
R-GeodRegr0.2.0-lp156.1.1Geodesic Regression
R-geofabrik0.1.0-lp156.2.1Downloading Open Street Map Data
R-geofacet0.2.1-lp156.1.1\'ggplot2\' Faceting Utilities for Geographical Data
R-geofd2.0-lp156.17.1Spatial Prediction for Function Value Data
R-geoGAM0.1.3-lp156.1.1Select Sparse Geoadditive Models for Spatial Prediction
R-geohashTools0.3.3-lp156.1.1Tools for Working with Geohashes
R-geoknife1.6.11-lp156.1.1Web-Processing of Large Gridded Datasets
R-GeoLight2.0.0-lp156.3.1Analysis of Light Based Geolocator Data
R-geomapdata2.0.2-lp156.1.1Data for Topographic and Geologic Mapping
R-geomedb2.0.1-lp156.3.1Functions for Fetching \'GeOMe-db\' Data
R-geomerge0.3.4-lp156.1.1Geospatial Data Integration
R-geometa0.6.5-lp156.1.1Tools for Reading and Writing ISO/OGC Geographic Metadata
R-GeoMongo1.0.3-lp156.5.1Geospatial Queries Using \'PyMongo\'
R-geomtextpath0.1.4-lp156.1.1Curved Text in \'ggplot2\'
R-geonames0.999-lp156.2.1Interface to the \"Geonames\" Spatial Query Web Service
R-geonet0.7.3-lp156.5.1Intensity Estimation on Geometric Networks with Penalized Sp
R-geonetwork0.5.0-lp156.4.1Geographic Networks
R-geophys1.4.1-lp156.8.1Geophysics, Continuum Mechanics, Gravity Modeling
R-geoR1.9.4-lp156.1.1Analysis of geostatistical data
R-georefdatar0.6.5-lp156.1.1Geosciences Reference Datasets
R-geos0.2.4-lp156.1.1Open Source Geometry Engine (\'GEOS\') R API
R-geoSAE0.1.0-lp156.1.1Geoadditive Small Area Model
R-geoscale2.0.1-lp156.1.1Geological Time Scale Plotting
R-geosed0.1.1-lp156.2.1Smallest Enclosing Disc for Latitude and Longitude Points
R-geospark0.3.1-lp156.19.1Bring Local Sf to Spark
R-geostats1.6-lp156.1.1An Introduction to Statistics for Geoscientists
R-GeoTcgaData1.0.0-lp156.1.1Processing various types of data on GEO and TCGA
R-geotech1.0-lp156.2.1Geotechnical Engineering
R-geotools0.1-lp156.2.1Geo tools
R-geotopbricks1.5.8.2-lp156.2.1An R Plug-in for the Distributed Hydrological Model GEOtop
R-geoTS0.1.8-lp156.3.1Methods for Handling and Analyzing Time Series of Satellite
R-geouy0.2.8-lp156.2.1Geographic Information of Uruguay
R-geovol1.0-lp156.1.1Geopolitical Volatility (GEOVOL) Modelling
R-geozoning1.0.0-lp156.1.1Zoning Methods for Spatial Data
R-geozoo0.5.1-lp156.2.1Zoo of Geometric Objects
R-gepaf0.1.1-lp156.2.1Google Encoded Polyline Algorithm Format
R-germanpolls0.3-lp156.2.1German Polling Data
R-germinationmetrics0.1.8-lp156.3.1Seed Germination Indices and Curve Fitting
R-gesca1.0.4-lp156.2.1Generalized Structured Component Analysis (GSCA)
R-gestalt0.2.0-lp156.2.1Tools for Making and Combining Functions
R-gestate1.6.0-lp156.4.1Generalised Survival Trial Assessment Tool Environment
R-GESTr0.1-lp156.2.1Gene Expression State Transformation
R-GetBCBData0.7.0-lp156.8.1Imports Datasets from BCB (Central Bank of Brazil) using Its
R-getCRUCLdata0.3.2-lp156.5.1\'CRU\' \'CL\' v. 2.0 Climatology Client
R-GETdesigns1.2.0-lp156.2.1Generalized Extended Triangular Designs (\'GETdesigns\')
R-GetDFPData20.6.3-lp156.4.1Reading Annual and Quarterly Financial Reports from B3
R-getDTeval0.0.2-lp156.1.1Translating Coding Statements using get() and eval() for Imp
R-GetFREData0.8.1-lp156.4.1Reading FRE Corporate Data of Public Traded Companies from B
R-gethr0.1.0-lp156.2.1Access to Ethereum-Based Blockchains Through Geth Nodes
R-getip0.1.4-lp156.1.1\'IP\' Address \'Lookup\'
R-getlandsat0.2.0-lp156.11.1Get Landsat 8 Data from Amazon Public Data Sets
R-getLattes0.2.0-lp156.14.1Import and Process Data from the \'Lattes\' Curriculum Platf
R-GetLattesData1.5-lp156.2.1Reading Bibliometric Data from Lattes Platform
R-getMet0.3.2-lp156.3.1Get Meteorological Data for Hydrologic Models
R-GetoptLong1.0.5-lp156.2.1Parsing Command-Line Arguments and Simple Variable Interpola
R-getPass0.2.4-lp156.1.1Masked User Input
R-getProxy1.13-lp156.2.1Get Free Proxy IP and Port
R-getpublist0.1.0-lp156.1.1Obtain a List of Publications from \'PubMed\' and \'Google S
R-GetQuandlData1.0.0-lp156.2.1Fast and Cached Import of Data from \'Quandl\' Using the \'j
R-GetR0.1-lp156.2.1GetR: Calculate Guttman error trees in R
R-getspanel0.2.0-lp156.2.1General-to-Specific Modelling of Panel Data
R-getspres0.2.0-lp156.10.1SPRE Statistics for Exploring Heterogeneity in Meta-Analysis
R-gettz0.0.5-lp156.1.1Get the Timezone Information
R-getwiki0.9.0-lp156.1.1R Wrapper for Wikipedia Data
R-GEVcdn1.1.6.2-lp156.2.1GEV Conditional Density Estimation Network
R-gexp1.0.21-lp156.1.1Generator of Experiments
R-geysertimes0.1.9-lp156.10.1Geyser Data from GeyserTimes.org
R-GFA1.0.5-lp156.1.1Group Factor Analysis
R-gfboost0.1.1-lp156.1.1Gradient-Free Gradient Boosting
R-GFE0.1.1-lp156.1.1Gross Flows Estimation under Complex Surveys
R-GFGM.copula1.0.4-lp156.2.1Generalized Farlie-Gumbel-Morgenstern Copula
R-GFisher0.2.0-lp156.1.1Generalized Fisher\'s Combination Tests Under Dependence
R-gfonts0.2.0-lp156.5.1Offline \'Google\' Fonts for \'Markdown\' and \'Shiny\'
R-gfunctions1.0-lp156.2.1G-Functions
R-gg.gap1.3-lp156.14.1Define Segments in y-Axis for \'ggplot2\'
R-ggallin0.1.1-lp156.14.1Grab Bag of \'ggplot2\' Functions
R-ggalluvial0.12.5-lp156.2.1Alluvial Plots in \'ggplot2\'
R-ggamma1.0.1-lp156.2.1Generalized Gamma Probability Distribution
R-ggarchery0.4.3-lp156.2.1Flexible Segment Geoms with Arrows for \'ggplot2\'
R-ggarrow0.1.0-lp156.1.1Arrows for \'ggplot2\'
R-ggasym0.1.6-lp156.10.1Asymmetric Matrix Plotting in \'ggplot2\'
R-ggbeeswarm0.7.2-lp156.1.1Categorical Scatter (Violin Point) Plots
R-ggbiplot0.6.2-lp156.1.1A Grammar of Graphics Implementation of Biplots
R-ggblend0.1.0-lp156.1.1Blending and Compositing Algebra for \'ggplot2\'
R-ggborderline0.2.0-lp156.3.1Line Plots that Pop
R-ggbrace0.1.1-lp156.1.1Curly Braces for \'ggplot2\'
R-ggbraid0.2.2-lp156.3.1Braid Ribbons in \'ggplot2\'
R-ggbrick0.3.0-lp156.2.1Waffle Style Chart with a Brick Layout in \'ggplot2\'
R-ggBubbles0.1.4-lp156.16.1Mini Bubble Plots for Comparison of Discrete Data with \'ggp
R-ggbuildr0.1.0-lp156.14.1Save Incremental Builds of Plots
R-ggbump0.1.0-lp156.17.1Bump Chart and Sigmoid Curves
R-ggchangepoint0.1.0-lp156.7.1Combines Changepoint Analysis with \'ggplot2\'
R-ggChernoff0.3.0-lp156.2.1Chernoff Faces for \'ggplot2\'
R-ggcleveland0.1.0-lp156.10.1Implementation of Plots from Cleveland\'s Visualizing Data B
R-ggconf0.1.3-lp156.13.1Simpler Appearance Modification of \'ggplot2\'
R-ggcorrplot0.1.4.1-lp156.2.1Visualization of a Correlation Matrix using \'ggplot2\'
R-ggcorset0.5.0-lp156.2.1The Corset Plot
R-ggdark0.2.1-lp156.14.1Dark Mode for \'ggplot2\' Themes
R-ggdaynight0.1.3-lp156.2.1Add Day/Night Patterns to \'ggplot2\' Plots
R-ggdendro0.2.0-lp156.1.1Create Dendrograms and Tree Diagrams Using \'ggplot2\'
R-ggdensity1.0.0-lp156.1.1Interpretable Bivariate Density Visualization with \'ggplot2
R-ggDoE0.8-lp156.1.1Modern Graphs for Design of Experiments with \'ggplot2\'
R-ggDoubleHeat0.1.2-lp156.1.1A Heatmap-Like Visualization Tool
R-gge1.8-lp156.2.1Genotype Plus Genotype-by-Environment Biplots
R-ggeasy0.1.4-lp156.1.1Easy Access to \'ggplot2\' Commands
R-ggetho0.3.7-lp156.3.1Visualisation of High-Throughput Behavioural (i.e. Ethomics)
R-ggfittext0.10.2-lp156.1.1Fit Text Inside a Box in \'ggplot2\'
R-ggflowchart1.0.0-lp156.2.1Flowcharts with \'ggplot2\'
R-ggfocus1.0.0-lp156.16.1Scales that Focus Specific Levels in your ggplot()
R-ggformula0.12.0-lp156.3.1Formula Interface to the Grammar of Graphics
R-ggfortify0.4.17-lp156.2.1Data Visualization Tools for Statistical Analysis Results
R-ggfx1.0.1-lp156.4.1Pixel Filters for \'ggplot2\' and \'grid\'
R-gggap1.0.1-lp156.12.1Streamlined Creation of Segments on the Y-Axis of \'ggplot2\
R-gggenes0.5.1-lp156.2.1Draw Gene Arrow Maps in \'ggplot2\'
R-ggghost0.2.1-lp156.7.1Capture the Spirit of Your \'ggplot2\' Calls
R-gggibbous0.1.1-lp156.11.1Moon Charts, a Pie Chart Alternative
R-gggrid0.2.0-lp156.6.1Draw with \'grid\' in \'ggplot2\'
R-ggguitar0.1.1-lp156.9.1Utilities for Creating Guitar Tablature
R-ggh4x0.2.8-lp156.1.1Hacks for \'ggplot2\'
R-gghalfnorm1.1.2-lp156.15.1Create a Half Normal Plot Using \'ggplot2\'
R-gghalves0.1.4-lp156.2.1Compose Half-Half Plots Using Your Favourite Geoms
R-gghdr0.2.0-lp156.4.1Visualisation of Highest Density Regions in \'ggplot2\'
R-gghighlight0.4.1-lp156.1.1Highlight Lines and Points in \'ggplot2\'
R-gghist0.1.0-lp156.1.1Plot the Histogram of a Numeric Vector
R-ggHoriPlot1.0.1-lp156.6.1Horizon Plots for \'ggplot2\'
R-ggimg0.1.2-lp156.4.1Graphics Layers for Plotting Image Data with \'ggplot2\'
R-gginference0.1.3-lp156.13.1Visualise the Results of Inferential Statistics using \'ggpl
R-gginnards0.2.0-lp156.2.1Explore the Innards of \'ggplot2\' Objects
R-ggisotonic0.1.2-lp156.6.1\'ggplot2\' Friendly Isotonic or Monotonic Regression Curves
R-ggjoy0.4.1-lp156.15.1Joyplots in \'ggplot2\'
R-gglasso1.5.1-lp156.2.1Group Lasso Penalized Learning Using a Unified BMD Algorithm
R-ggloop0.1.0-lp156.8.1Create \'ggplot2\' Plots in a Loop
R-gglorenz0.0.2-lp156.14.1Plotting Lorenz Curve with the Blessing of \'ggplot2\'
R-ggmap4.0.0-lp156.2.1Spatial Visualization with ggplot2
R-ggmatplot0.1.2-lp156.6.1Plot Columns of Two Matrices Against Each Other Using \'ggpl
R-ggmr0.1.1-lp156.2.1Generalized Gauss Markov Regression
R-GGMridge1.4-lp156.1.1Gaussian Graphical Models Using Ridge Penalty Followed by Th
R-GGMselect0.1.12.7-lp156.1.1Gaussian Graphs Models Selection
R-ggmugs0.6.0-lp156.2.1Visualization of Multiple Genome-Wide Association Study Summ
R-ggmuller0.5.6-lp156.2.1Create Muller Plots of Evolutionary Dynamics
R-ggmulti1.0.7-lp156.2.1High Dimensional Data Visualization
R-ggnetwork0.5.13-lp156.1.1Geometries to Plot Networks with \'ggplot2\'
R-ggnormalviolin0.1.2-lp156.17.1A \'ggplot2\' Extension to Make Normal Violin Plots
R-ggnuplot0.1.0-lp156.14.1Make \'ggplot2\' Look Like \'gnuplot\'
R-ggOceanMaps2.2.0-lp156.1.1Plot Data on Oceanographic Maps using \'ggplot2\'
R-ggokabeito0.1.0-lp156.7.1\'Okabe-Ito\' Scales for \'ggplot2\' and \'ggraph\'
R-ggordiplots0.4.3-lp156.1.1Make \'ggplot2\' Versions of Vegan\'s Ordiplots
R-ggpackets0.2.1-lp156.3.1Package Plot Layers for Easier Portability and Modularizatio
R-ggpage0.2.3-lp156.20.1Creates Page Layout Visualizations
R-ggparallel0.4.0-lp156.2.1Variations of Parallel Coordinate Plots for Categorical Data
R-ggparliament2.0.0-lp156.16.1Parliament Plots
R-ggparty1.0.0-lp156.13.1\'ggplot\' Visualizations for the \'partykit\' Package
R-ggpcp0.2.0-lp156.5.1Parallel Coordinate Plots in the \'ggplot2\' Framework
R-ggperiodic1.0.3-lp156.1.1Easy Plotting of Periodic Data with \'ggplot2\'
R-ggpie0.2.5-lp156.4.1Pie, Donut and Rose Pie Plots
R-ggplot.multistats1.0.0-lp156.14.1Multiple Summary Statistics for Binned Stats/Geometries
R-ggplot23.5.1-lp156.2.1Create Elegant Data Visualisations Using the Grammar of Grap
R-ggplot2movies0.0.1-lp156.2.1Movies Data
R-ggpointdensity0.1.0-lp156.14.1A Cross Between a 2D Density Plot and a Scatter Plot
R-ggpointless0.1.0-lp156.1.1Additional Geometries and Stats for \'ggplot2\'
R-ggpol0.0.7-lp156.16.1Visualizing Social Science Data with \'ggplot2\'
R-ggpolar0.2.2-lp156.3.1Dots and Their Connections in Polar Coordinate System
R-ggpolypath0.3.0-lp156.1.1Polygons with Holes for the Grammar of Graphics
R-ggprism1.0.5-lp156.2.1A \'ggplot2\' Extension Inspired by \'GraphPad Prism\'
R-ggpval0.2.5-lp156.6.1Annotate Statistical Tests for \'ggplot2\'
R-ggQC0.0.31-lp156.17.1Quality Control Charts for \'ggplot\'
R-ggQQunif0.1.5-lp156.17.1Compare Big Datasets to the Uniform Distribution
R-ggquiver0.3.3-lp156.1.1Quiver Plots for \'ggplot2\'
R-ggrain0.0.4-lp156.3.1A Rainclouds Geom for \'ggplot2\'
R-ggraptR1.3-lp156.21.1Allows Interactive Visualization of Data Through a Web Brows
R-ggrastr1.0.2-lp156.3.1Rasterize Layers for \'ggplot2\'
R-ggredist0.0.2-lp156.2.1Scales, Geometries, and Extensions of \'ggplot2\' for Electi
R-ggridges0.5.6-lp156.1.1Ridgeline Plots in \'ggplot2\'
R-ggROC1.0-lp156.9.1package for roc curve plot with ggplot2
R-ggrounded0.0.3-lp156.1.1Rounded Bar Plots
R-ggroups2.1.2-lp156.1.1Pedigree and Genetic Groups
R-ggRtsy0.1.0-lp156.2.1Add Some Van Gogh Colors and Overlay Colors on Your \'ggplot
R-ggsankeyfier0.1.8-lp156.2.1Create Sankey and Alluvial Diagrams Using \'ggplot2\'
R-ggsci3.2.0-lp156.1.1Scientific Journal and Sci-Fi Themed Color Palettes for \'gg
R-ggscidca0.2.3-lp156.2.1Plotting Decision Curve Analysis with Coloured Bars
R-ggseas0.5.4-lp156.8.1\'stats\' for Seasonal Adjustment on the Fly with \'ggplot2\
R-ggseqlogo0.2-lp156.1.1A \'ggplot2\' Extension for Drawing Publication-Ready Sequen
R-ggshadow0.0.5-lp156.2.1Shadow and Glow Geoms for \'ggplot2\'
R-ggside0.3.1-lp156.2.1Side Grammar Graphics
R-ggsignif0.6.4-lp156.3.1Significance Brackets for \'ggplot2\'
R-ggsn0.5.0-lp156.19.1North Symbols and Scale Bars for Maps Created with \'ggplot2
R-ggsolvencyii0.1.2-lp156.17.1A \'ggplot2\'-Plot of Composition of Solvency II SCR: SF and
R-ggsom0.4.0-lp156.17.1New Data Visualisations for SOMs Networks
R-ggspark0.0.2-lp156.2.1\'ggplot2\' Functions to Create Tufte Style Sparklines
R-ggstance0.3.7-lp156.2.1Horizontal \'ggplot2\' Components
R-ggstar1.0.4-lp156.2.1Multiple Geometric Shape Point Layer for \'ggplot2\'
R-ggstream0.1.0-lp156.10.1Create Streamplots in \'ggplot2\'
R-ggstudent0.1.1.1-lp156.16.1Continuous Confidence Interval Plots using t-Distribution
R-ggsurvey1.0.0-lp156.10.1Simplifying \'ggplot2\' for Survey Data
R-ggswissmaps0.1.1-lp156.14.1Offers Various Swiss Maps as Data Frames and \'ggplot2\' Obj
R-ggtea0.1.1-lp156.7.1Palettes and Themes for \'ggplot2\'
R-ggtern3.5.0-lp156.2.1An Extension to \'ggplot2\', for the Creation of Ternary Dia
R-ggtext0.1.2-lp156.7.1Improved Text Rendering Support for \'ggplot2\'
R-ggThemeAssist0.1.5-lp156.20.1Add-in to Customize \'ggplot2\' Themes
R-ggthemes5.1.0-lp156.1.1Extra Themes, Scales and Geoms for \'ggplot2\'
R-ggthemeUL0.1.3-lp156.1.1A \'ggplot\' Theme for University of Ljubljana
R-ggtikz0.1.3-lp156.1.1Post-Process \'ggplot2\' Plots with \'TikZ\' Code Using Plot
R-ggTimeSeries1.0.2-lp156.6.1Time Series Visualisations Using the Grammar of Graphics
R-ggtrace0.2.0-lp156.6.1Trace and Highlight Groups of Data Points
R-ggtrendline1.0.3-lp156.6.1Add Trendline and Confidence Interval to \'ggplot\'
R-ggtricks0.1.0-lp156.1.1Create Sector and Other Charts Easily Using Grammar of Graph
R-ggvenn0.1.10-lp156.1.1Draw Venn Diagram by \'ggplot2\'
R-ggversa0.0.1-lp156.2.1Graficas Versatiles Con \'ggplot2\'
R-ggvis0.4.9-lp156.3.1Interactive Grammar of Graphics
R-ggvoronoi0.8.5-lp156.4.1Voronoi Diagrams and Heatmaps with \'ggplot2\'
R-ggx0.1.1-lp156.11.1A Natural Language Interface to \'ggplot2\'
R-gh1.4.1-lp156.2.1\'GitHub\' \'API\'
R-Ghat0.2.0-lp156.2.1Quantifying Evolution and Selection on Complex Traits
R-ghclass0.3.0-lp156.2.1Tools for Managing Classes on GitHub
R-ghee0.1.0-lp156.3.1Provides a Lightweight Interface for \'GitHub\' through R
R-ghibli0.3.4-lp156.2.1Studio Ghibli Colour Palettes
R-Ghost0.1.0-lp156.3.1Missing Data Segments Imputation in Multivariate Streams
R-ghql0.1.0-lp156.3.1General Purpose \'GraphQL\' Client
R-GHQp1.0-lp156.1.1Gauss Hermite Quadrature with pruning.
R-GHS0.1-lp156.2.1Graphical Horseshoe MCMC Sampler Using Data Augmented Block
R-gibble0.4.0-lp156.13.1Geometry Decomposition
R-gibbs.met1.1.3-lp156.2.1Naive Gibbs Sampling with Metropolis Steps
R-GibbsACOV1.1-lp156.2.1Gibbs Sampler for One-Way Mixed-Effects ANOVA and ANCOVA Mod
R-GIC1.0.0-lp156.7.1A General Iterative Clustering Algorithm
R-gie0.1.2-lp156.1.1API Wrapper for the Natural Gas Transparency Platforms of Ga
R-giedata0.1.1-lp156.3.1API Wrapper for GIE\'s AGSI+/ALSI+ Natural Gas Storage Trans
R-Gifi0.4.0-lp156.1.1Multivariate Analysis with Optimal Scaling
R-GIFT1.3.2-lp156.3.1Access to the Global Inventory of Floras and Traits (GIFT)
R-gifti0.8.0-lp156.3.1Reads in \'Neuroimaging\' \'GIFTI\' Files with Geometry Info
R-GIFTr0.1.0-lp156.7.1GIFT Questions Format Generator from Dataframes
R-giftwrap0.0.4-lp156.13.1Take Shell Commands and Turn Them into R Functions
R-GIGrvg0.8-lp156.1.1Random Variate Generator for the GIG Distribution
R-GillespieSSA0.6.2-lp156.1.1Gillespie\'s Stochastic Simulation Algorithm (SSA)
R-gim0.33.1-lp156.2.1Generalized Integration Model
R-gimms1.2.2-lp156.2.1Download and Process GIMMS NDVI3g Data
R-Gini0.1.0-lp156.1.1Gini Coefficient
R-GiniDecompLY1.0.0-lp156.1.1Gini Decomposition by Income Sources
R-GiniWegNeg1.0.1-lp156.2.1Computing the Gini-Based Coefficients for Weighted and Negat
R-ginormal0.0.2-lp156.1.1Generalized Inverse Normal Distribution Density and Generati
R-GInSARCorW1.15.8-lp156.2.1GACOS InSAR Correction Workflow
R-gIPFrm3.1-lp156.2.1Generalized Iterative Proportional Fitting for Relational Mo
R-giphyr0.2.0-lp156.15.1R Interface to the Giphy API
R-GIplot0.1.0-lp156.1.1Gaussian Interval Plot (GIplot)
R-git2r0.33.0-lp156.1.1Provides Access to Git Repositories
R-git2rdata0.4.0-lp156.1.1Store and Retrieve Data.frames in a Git Repository
R-gitcreds0.1.2-lp156.1.1Query \'git\' Credentials from \'R\'
R-gitgadget0.8.1-lp156.3.1\'Rstudio\' Addin for Version Control and Assignment Managem
R-gitGPT0.1.3-lp156.1.1Automated Git Commit Messages using the \'OpenAI\' \'GPT\' M
R-githubr0.9.1-lp156.3.1Easier to Use API Wrapper for \'GitHub\'
R-gitlabr2.1.0-lp156.2.1Access to the \'GitLab\' API
R-gitlink0.1.3-lp156.8.1Add \'Git\' Links to Your Web Based Assets
R-gitr0.0.1-lp156.1.1A Lightweight API for \'Git\'
R-givitiR1.3-lp156.2.1The GiViTI Calibration Test and Belt
R-gk0.6.0-lp156.4.1g-and-k and g-and-h Distribution Functions
R-GK20110.1.3-lp156.2.1Gaines and Kuklinski (2011) Estimators for Hybrid Experiment
R-gkgraphR1.0.2-lp156.1.1Accessing the Official \'Google Knowledge Graph\' API
R-glacierSMBM0.1-lp156.3.1Glacier Surface Mass Balance Model
R-glancedata1.0.1-lp156.21.1Generate tables and plots to get summaries of data
R-glarma1.6.0-lp156.2.1Generalized Linear Autoregressive Moving Average Models
R-glassdoor0.8.1-lp156.2.1Interface to \'Glassdoor\' API
R-glasso1.11-lp156.2.1Graphical Lasso: Estimation of Gaussian Graphical Models
R-glassoFast1.0.1-lp156.1.1Fast Graphical LASSO
R-glba0.2.1-lp156.1.1General Linear Ballistic Accumulator Models
R-gld2.6.6-lp156.1.1Estimation and use of the generalised (Tukey) lambda distrib
R-GLDEX2.0.0.9.3-lp156.1.1Fitting Single and Mixture of Generalised Lambda Distributio
R-GLDreg1.1.1-lp156.1.1Fit GLD Regression/Quantile/AFT Model to Data
R-gldrm1.6-lp156.1.1Generalized Linear Density Ratio Models
R-GLIDE1.0.5-lp156.1.1Global and Individual Tests for Direct Effects
R-glinternet1.0.12-lp156.1.1Learning Interactions via Hierarchical Group-Lasso Regulariz
R-glinvci1.2.4-lp156.3.1Phylogenetic Comparative Methods with Uncertainty Estimates
R-gllm0.38-lp156.1.1Generalised log-linear model
R-glm21.2.1-lp156.2.1Fitting Generalized Linear Models
R-glmbb0.5.1-lp156.2.1All Hierarchical or Graphical Models for Generalized Linear
R-glmdm2.60-lp156.2.1R Code for Simulation of GLMDM
R-glme0.1.0-lp156.12.1Generalized Linear Mixed Effects Models
R-glmglrt0.2.2-lp156.4.1GLRT P-Values in Generalized Linear Models
R-glmlep0.2-lp156.2.1Fit GLM with LEP-Based Penalized Maximum Likelihood
R-GLMMadaptive0.9.1-lp156.1.1Generalized Linear Mixed Models using Adaptive Gaussian Quad
R-glmmboot0.6.0-lp156.1.1Bootstrap Resampling for Mixed Effects and Plain Models
R-glmMisrep0.1.1-lp156.2.1Generalized Linear Models Adjusting for Misrepresentation
R-GLMMselect1.2.0-lp156.1.1Bayesian Model Selection for Generalized Linear Mixed Models
R-glmpath0.98-lp156.2.1L1 Regularization Path for Generalized Linear Models and Cox
R-glmpathcr1.0.10-lp156.1.1Fit a Penalized Continuation Ratio Model for Predicting an O
R-glmpca0.2.0-lp156.2.1Dimension Reduction of Non-Normally Distributed Data
R-glmpermu0.0.1-lp156.2.1Permutation-Based Inference for Generalized Linear Models
R-GLMsData1.4-lp156.1.1Generalized Linear Model Data Sets
R-GlmSimulatoR1.0.0-lp156.2.1Creates Ideal Data for Generalized Linear Models
R-glmxdiag1.0.0-lp156.1.1A Collection of Graphic Tools for GLM Diagnostics and some E
R-globalboosttest1.1.0-lp156.1.1Testing the additional predictive value of high-dimensional
R-GlobalDeviance0.4-lp156.2.1Global Deviance Permutation Tests
R-GlobalFit1.2-lp156.2.1Bi-Level Optimization of Metabolic Network Models
R-globalGSA1.0-lp156.2.1Global Gene-Set Analysis for Association Studies.
R-GlobalOptions0.1.2-lp156.2.1Generate Functions to Get or Set Global Options
R-globalOptTests1.1-lp156.2.1Objective functions for benchmarking the performance of glob
R-globals0.16.3-lp156.2.1Identify Global Objects in R Expressions
R-globaltrends0.0.14-lp156.2.1Download and Measure Global Trends Through Google Search Vol
R-globe1.2.0-lp156.2.1Plot 2D and 3D Views of the Earth, Including Major Coastline
R-glober1.0-lp156.1.1Estimating Functions with Multivariate B-Splines
R-glogis1.0.2-lp156.1.1Fitting and Testing Generalized Logistic Distributions
R-glrt2.0-lp156.2.1Generalized Logrank Tests for Interval-censored Failure Time
R-gLRTH0.2.0-lp156.2.1Genome-Wide Association and Linkage Analysis under Heterogen
R-GLSME1.0.5-lp156.2.1Generalized Least Squares with Measurement Error
R-gluedown1.0.9-lp156.2.1Wrap Vectors in Markdown Formatting
R-gluvarpro7.0-lp156.6.1Glucose Variability Measures from Continuous Glucose Monitor
R-glvmfit0.1.0-lp156.1.1Methods to Assess Generalized Latent Variable Model Fit
R-glycanr0.4.0-lp156.12.1Tools for Analysing N-Glycan Data
R-GMAC3.1-lp156.1.1Genomic Mediation Analysis with Adaptive Confounding Adjustm
R-gmailr2.0.0-lp156.1.1Access the \'Gmail\' \'RESTful\' API
R-gmapsdistance4.0.4-lp156.1.1Distance and Travel Time Between Two Points from Google Maps
R-gMCPLite0.1.5-lp156.1.1Lightweight Graph Based Multiple Comparison Procedures
R-GMDH1.6-lp156.2.1Short Term Forecasting via GMDH-Type Neural Network Algorith
R-GMDHreg0.2.3-lp156.1.1Regression using GMDH Algorithms
R-gmeta2.3.1-lp156.1.1Meta-Analysis via a Unified Framework of Confidence Distribu
R-gmfd1.0.1-lp156.2.1Inference and Clustering of Functional Data
R-gmm1.8-lp156.1.1Generalized Method of Moments and Generalized Empirical Like
R-GMMBoost1.1.5-lp156.1.1Likelihood-Based Boosting for Generalized Mixed Models
R-gmmsslm1.1.5-lp156.1.1Semi-Supervised Gaussian Mixture Model with a Missing-Data M
R-gmodels2.19.1-lp156.2.1Various R programming tools for model fitting
R-gmoTree1.0.1-lp156.2.1Get and Modify \'oTree\' Data
R-gmpoly1.1.0-lp156.12.1Multivariate Polynomials with Rational Coefficients
R-GmptzCurve0.1.0-lp156.1.1Gompertz Curve Fitting
R-GMSE1.0.0.2-lp156.7.1Generalised Management Strategy Evaluation Simulator
R-gmt2.0.3-lp156.1.1Interface between GMT map-making software and R
R-gmvarkit2.1.2-lp156.2.1Estimate Gaussian and Student\'s t Mixture Vector Autoregres
R-GMZTests0.1.4-lp156.3.1Statistical Tests
R-GNE0.99.5-lp156.1.1Computation of Generalized Nash Equilibria
R-gnFit0.2.0-lp156.2.1Goodness of Fit Test for Continuous Distribution Functions
R-gnlm1.1.1-lp156.2.1Generalized Nonlinear Regression Models
R-gnm1.1.5-lp156.1.1Generalized Nonlinear Models
R-gnn0.0.4-lp156.1.1Generative Neural Networks
R-gnonadd1.0.2-lp156.1.1Various Non-Additive Models for Genetic Associations
R-gnorm1.0.0-lp156.2.1Generalized Normal/Exponential Power Distribution
R-gnrprod1.1.2-lp156.1.1Estimates Gross Output Functions
R-GNRS0.3.4-lp156.2.1Access the \'Geographic Name Resolution Service\'
R-GNSSseg6.0-lp156.2.1Homogenization of GNSS Series
R-gnumeric0.7.10-lp156.1.1Read Data from Files Readable by \'gnumeric\'
R-goalp0.3.1-lp156.2.1Weighted and Lexicographic Goal Programming Interface
R-gofastr0.3.0-lp156.15.1Fast DocumentTermMatrix and TermDocumentMatrix Creation
R-gofedf0.1.0-lp156.1.1Goodness of Fit Tests Based on Empirical Distribution Functi
R-gofgamma1.0-lp156.2.1Goodness-of-Fit Tests for the Gamma Distribution
R-GoFKernel2.1.1-lp156.2.1Testing Goodness-of-Fit with the Kernel Density Estimator
R-goftest1.2.3-lp156.1.1Classical Goodness-of-Fit Tests for Univariate Distributions
R-gogarch0.7.5-lp156.3.1Generalized Orthogonal GARCH (GO-GARCH) Models
R-goldilocks0.3.0-lp156.8.1Goldilocks Adaptive Trial Designs for Time-to-Event Endpoint
R-gomms1.0-lp156.2.1GLM-Based Ordination Method
R-GomoGomonoMi0.1.0-lp156.8.1Animate Text using the \'Animate.css\' Library
R-gontr1.1.0-lp156.2.1Dataset for \'GOxploreR\'
R-good1.0.2-lp156.2.1Good Regression
R-GoodFitSBM0.0.1-lp156.1.1Monte Carlo Goodness-of-Fit Tests for Stochastic Block Model
R-GoodmanKruskal0.0.3-lp156.3.1Association Analysis for Categorical Variables
R-googleadsR1.0.0-lp156.1.1Access to \'Google Ads\' via the \'Windsor.ai\' API
R-googleAuthR2.0.2-lp156.2.1Authenticate and Create Google APIs
R-googleCloudRunner0.3.0-lp156.3.1R Scripts in the Google Cloud via Cloud Run, Cloud Build and
R-googleCloudStorageR0.7.0-lp156.4.1Interface with Google Cloud Storage API
R-googleCloudVisionR0.2.0-lp156.11.1Access to the \'Google Cloud Vision\' API for Image Recognit
R-googleComputeEngineR0.3.0-lp156.11.1R Interface with Google Compute Engine
R-googledrive2.1.1-lp156.1.1An Interface to Google Drive
R-googleErrorReportingR0.0.4-lp156.1.1Send Error Reports to the Google Error Reporting Service API
R-GoogleKnowledgeGraphR0.1.0-lp156.2.1Retrieve Information from \'Google Knowledge Graph\' API
R-googleLanguageR0.3.0-lp156.14.1Call Google\'s \'Natural Language\' API, \'Cloud Translation
R-googlenlp0.2.0-lp156.13.1An Interface to Google\'s Cloud Natural Language API
R-googlePrintr0.0.1-lp156.8.1Connect to \'Google Cloud Print\' API
R-googlePublicData0.16.1-lp156.13.1Working with Google\'s \'Public Data Explorer\' DSPL Metadat
R-googlePubsubR0.0.4-lp156.2.1R Interface for Google \'Cloud Pub/Sub\' REST API
R-googler0.0.1-lp156.11.1Google from the R Console
R-googlesheets0.3.0-lp156.9.1Manage Google Spreadsheets from R
R-googlesheets41.1.1-lp156.1.1Access Google Sheets using the Sheets API V4
R-googleTagManageR0.2.0-lp156.7.1Access the \'Google Tag Manager\' API using R
R-googleVis0.7.3-lp156.2.1R Interface to Google Charts
R-GOplot1.0.2-lp156.14.1Visualization of Functional Analysis Data
R-gor1.0-lp156.4.1Algorithms for the Subject Graphs and Network Optimization
R-GORCure2.0-lp156.3.1Fit Generalized Odds Rate Mixture Cure Model with Interval C
R-goric1.1.2-lp156.1.1Generalized Order-Restricted Information Criterion
R-gorpiper1.0.1-lp156.6.1GORpipe Tool for R
R-gotop0.1.4-lp156.2.1Scroll Back to Top Icon in Shiny and R Markdown
R-govinfoR0.0.3-lp156.1.1A \'GovInfo\' API Wrapper
R-govStatJPN0.1-lp156.2.1functions to get public survey data in Japan
R-gpairs1.3.3-lp156.2.1The Generalized Pairs Plot
R-GPArotateDF2023.11.1-lp156.1.1Derivative Free Gradient Projection Factor Rotation
R-GPArotation2024.3.1-lp156.2.1Gradient Projection Factor Rotation
R-gPCA1.0-lp156.1.1Batch Effect Detection via Guided Principal Components Analy
R-gpclib1.5.6-lp156.2.1General Polygon Clipping Library for R
R-GPCSIV0.1.0-lp156.1.1GPCSIV, Generalized Principal Component of Symbolic Interval
R-gPdtest0.4-lp156.2.1Bootstrap goodness-of-fit test for the generalized Pareto di
R-GPfit1.0.8-lp156.3.1Gaussian Processes Modeling
R-GPIC0.1.0-lp156.1.1Quantifying Group Performance in Individual Competitions
R-gpk1.0-lp156.2.1100 Data Sets for Statistics Education
R-gpkg0.0.8-lp156.1.1Utilities for the Open Geospatial Consortium \'GeoPackage\'
R-GPL20251.0.1-lp156.13.1Convert Chip ID of the GPL2015 into GeneBank Accession and E
R-gplsim1.0.0-lp156.1.1Spline Estimation for GPLSIM
R-GPLTR1.5-lp156.2.1Generalized Partially Linear Tree-Based Regression Model
R-gpmap0.1.2-lp156.10.1Analysing and Plotting Genotype-Phenotype Maps
R-GPrank0.1.4-lp156.6.1Gaussian Process Ranking of Multiple Time Series
R-gProfileR0.7.0-lp156.5.1Interface to the \'g:Profiler\' Toolkit
R-gps1.2-lp156.1.1General P-Splines
R-gptk1.08-lp156.4.1Gaussian Processes Tool-Kit
R-gptoolsStan0.1.0-lp156.1.1Gaussian Processes on Graphs and Lattices in \'Stan\'
R-gptr0.6.0-lp156.2.1A Convenient R Interface with the OpenAI \'ChatGPT\' API
R-gptzeror0.0.1-lp156.2.1Identify Text Written by Large Language Models using \'GPTZe
R-GPUmatrix1.0.2-lp156.2.1Basic Linear Algebra with GPU
R-gpx1.1.0-lp156.9.1Process GPX Files into R Data Structures
R-gqlr0.0.2-lp156.8.1\'GraphQL\' Server in R
R-gquad2.1.2-lp156.4.1Prediction of G Quadruplexes and Other Non-B DNA Motifs
R-grabsampling1.0.0-lp156.15.1Probability of Detection for Grab Sample Selection
R-gradDescent3.0-lp156.2.1Gradient Descent for Regression Tasks
R-grade0.2.1-lp156.2.1Binary Grading functions for R.
R-graDiEnt1.0.1-lp156.1.1Stochastic Quasi-Gradient Differential Evolution Optimizatio
R-gramEvol2.1.4-lp156.2.1Grammatical Evolution for R
R-GramQuad0.1.1-lp156.1.1Gram Quadrature
R-grand0.9.0-lp156.5.1Guidelines for Reporting About Network Data
R-grangers0.1.0-lp156.4.1Inference on Granger-Causality in the Frequency Domain
R-granovaGG1.4.1-lp156.2.1Graphical Analysis of Variance Using ggplot2
R-GRAPE0.1.1-lp156.2.1Gene-Ranking Analysis of Pathway Expression
R-grapes1.0.0-lp156.2.1Make Binary Operators
R-gRapfa1.0-lp156.2.1Acyclic Probabilistic Finite Automata
R-graphclust1.3-lp156.4.1Hierarchical Graph Clustering for a Collection of Networks
R-GrapheR1.9.86.5-lp156.1.1A Multi-Platform GUI for Drawing Customizable Graphs in R
R-grapherator1.0.0-lp156.15.1A Modular Multi-Step Graph Generator
R-graphframes0.1.2-lp156.18.1Interface for \'GraphFrames\'
R-graphhopper0.1.2-lp156.13.1An R Interface to the \'GraphHopper\' Directions API
R-graphon0.3.5-lp156.2.1A Collection of Graphon Estimation Methods
R-graphPAF2.0.0-lp156.2.1Estimating and Displaying Population Attributable Fractions
R-graphseg0.1.0-lp156.3.1Segmentation of Graph-Based Signals
R-graphsim1.0.3-lp156.4.1Simulate Expression Data from \'igraph\' Networks
R-graphTweets0.5.3-lp156.17.1Visualise Twitter Interactions
R-graphx1.0-lp156.3.1Graphics Routines for Scientific Research
R-graposas1.0.0-lp156.1.1Graphical Approach Optimal Sample Size
R-GrassmannOptim2.0.1-lp156.1.1Grassmann Manifold Optimization
R-graticule0.1.2-lp156.2.1Meridional and Parallel Lines for Maps
R-gratis1.0.7-lp156.3.1Generating Time Series with Diverse and Controllable Charact
R-grattan2024.1.1-lp156.3.1Australian Tax Policy Analysis
R-gravitas0.1.3-lp156.21.1Explore Probability Distributions for Bivariate Temporal Gra
R-gravity1.1-lp156.1.1Estimation Methods for Gravity Models
R-GRCdata1.0-lp156.11.1Parameter Inference and Optimal Designs for Grouped and/or R
R-GRCdesigns1.0.0-lp156.1.1Generalized Row-Column Designs
R-GRCRegression1.0-lp156.1.1Modified Poisson Regression of Grouped and Right-Censored Co
R-greatR2.0.0-lp156.2.1Gene Registration from Expression and Time-Courses in R
R-grec1.6.0-lp156.1.1Gradient-Based Recognition of Spatial Patterns in Environmen
R-greekLetters1.0.2-lp156.2.1Routines for Writing Greek Letters and Mathematical Symbols
R-greenclust1.1.1-lp156.1.1Combine Categories Using Greenacre\'s Method
R-GregoryQuadrature1.0.0-lp156.2.1Gregory Weights for Function Integration
R-gregRy0.1.0-lp156.10.1GREGORY Estimation
R-GRelevance1.0-lp156.1.1Graph-Based k-Sample Comparisons and Relevance Analysis in H
R-gremlin1.0.1-lp156.2.1Mixed-Effects REML Incorporating Generalized Inverses
R-GREMLINS0.2.1-lp156.5.1Generalized Multipartite Networks
R-greta0.4.5-lp156.2.1Simple and Scalable Statistical Modelling in R
R-greta.dynamics0.2.0-lp156.7.1Modelling Structured Dynamical Systems in \'greta\'
R-greta.gp0.2.1-lp156.1.1Gaussian Process Modelling in \'greta\'
R-grex1.9-lp156.2.1Gene ID Mapping for Genotype-Tissue Expression (GTEx) Data
R-GreyModel0.1.0-lp156.1.1Fitting and Forecasting of Grey Model
R-gridBase0.4.7-lp156.2.1Integration of base and grid graphics
R-gridBezier1.1.1-lp156.2.1Bezier Curves in \'grid\'
R-GRIDCOPULA1.0.1-lp156.2.1Bivariate Copula Functions Based on Regular Grid
R-gridExtra2.3-lp156.3.1Miscellaneous Functions for \"Grid\" Graphics
R-gridGraphics0.5.1-lp156.2.1Redraw Base Graphics Using \'grid\' Graphics
R-gridsampler0.6-lp156.20.1A Simulation Tool to Determine the Required Sample Size for
R-gridstackeR0.1.0-lp156.8.1Wrapper for \'gridstack.js\'
R-gridSVG1.7.5-lp156.1.1Export \'grid\' Graphics as SVG
R-GriegSmith1.0-lp156.1.1Uses Grieg-Smith method on 2 dimentional spatial data
R-grImport0.9.7-lp156.1.1Importing Vector Graphics
R-gripp0.2.20-lp156.13.1General Inverse Problem Platform
R-grizbayr1.3.5-lp156.2.1Bayesian Inference for A|B and Bandit Marketing Tests
R-grnn0.1.0-lp156.2.1General regression neural network
R-GRNNs0.1.0-lp156.5.1General Regression Neural Networks Package
R-GROAN1.3.1-lp156.2.1Genomic Regression Workbench
R-grobblR0.2.1-lp156.10.1Creating Flexible, Reproducible \'PDF\' Reports
R-groupdata22.0.3-lp156.2.1Creating Groups from Data
R-grouped0.6.0-lp156.2.1Regression Analysis of Grouped and Coarse Data
R-groupICA0.1.1-lp156.2.1Independent Component Analysis for Grouped Data
R-groupr0.1.2-lp156.2.1Groups with Inapplicable Values
R-grouprar0.1.0-lp156.2.1Group Response Adaptive Randomization for Clinical Trials
R-groupRemMap0.1.0-lp156.2.1Regularized Multivariate Regression for Identifying Master P
R-GroupSeq1.4.2-lp156.2.1Group Sequential Design Probabilities - With Graphical User
R-groupsubsetselection1.0.3-lp156.2.1Group Subset Selection
R-GroupTest1.0.1-lp156.2.1Multiple Testing Procedure for Grouped Hypotheses
R-groupwalk0.1.2-lp156.1.1Implement the Group Walk Algorithm
R-growR1.3.0-lp156.2.1Implementation of the Vegetation Model ModVege
R-growth1.1.1-lp156.2.1Multivariate Normal and Elliptically-Contoured Repeated Meas
R-growthcleanr2.2.0-lp156.2.1Data Cleaner for Anthropometric Measurements
R-growthcurver0.3.1-lp156.2.1Simple Metrics to Summarize Growth Curves
R-growthmodels1.3.1-lp156.1.1Nonlinear Growth Models
R-growthrate1.3-lp156.2.1Bayesian reconstruction of growth velocity
R-growthrates0.8.4-lp156.2.1Estimate Growth Rates from Experimental Data
R-grplasso0.4.7-lp156.2.1Fitting User-Specified Models with Group Lasso Penalty
R-grplassocat1.0-lp156.2.1Standardization for Group Lasso Models with Categorical Pred
R-grpseq1.0-lp156.1.1Group Sequential Analysis of Clinical Trials
R-GrpString0.3.2-lp156.3.1Patterns and Statistical Differences Between Two Groups of S
R-grr0.9.5-lp156.2.1Alternative Implementations of Base R Functions
R-GRS.test1.2-lp156.1.1GRS Test for Portfolio Efficiency, Its Statistical Power Ana
R-grt0.2.1-lp156.2.1General Recognition Theory
R-GRTo1.3-lp156.2.1Tools for the Analysis of Gutenberg-Richter Distributions of
R-GSA1.03.3-lp156.2.1Gene set analysis
R-GSA.UN1.0.0-lp156.3.1Global Sensitivity Analysis Tool
R-GSAfisherCombined1.0-lp156.2.1Gene Set Analysis with Fisher Combined Method
R-gsalib2.2.1-lp156.1.1Utility Functions for \'GATK\'
R-GSAQ1.0-lp156.2.1Gene Set Analysis with QTL
R-gsarima0.1.5-lp156.2.1Two Functions for Generalized SARIMA Time Series Simulation
R-gsbDesign1.0.2-lp156.9.1Group Sequential Bayes Design
R-gscramble1.0.1-lp156.2.1Simulating Admixed Genotypes Without Replacement
R-GSD1.0.0-lp156.1.1Graph Signal Decomposition
R-GSDA1.0-lp156.12.1Gene Set Distance Analysis (GSDA)
R-gsDesign3.4.0-lp156.5.1Group Sequential Design
R-GSED2.6-lp156.1.1Group Sequential Enrichment Design
R-gSeg1.0-lp156.2.1Graph-Based Change-Point Detection (g-Segmentation)
R-gsheet0.4.5-lp156.7.1Download Google Sheets Using Just the URL
R-gsl2.1.8-lp156.1.1Wrapper for the Gnu Scientific Library
R-gslnls1.3.2-lp156.2.1GSL Multi-Start Nonlinear Least-Squares Fitting
R-gsloid0.2.0-lp156.1.1Global Sea Level and Oxygen Isotope Data
R-GSM1.3.2-lp156.2.1Gamma Shape Mixture
R-gsMAMS0.7.2-lp156.2.1Group Sequential Designs of Multi-Arm Multi-Stage Trials
R-gsmoothr0.1.7-lp156.2.1Smoothing tools
R-GSMX1.3-lp156.2.1Multivariate Genomic Selection
R-gson0.1.0-lp156.2.1Base Class and Methods for \'gson\' Format
R-GSparO1.0-lp156.14.1Group Sparse Optimization
R-gsrs0.1.1-lp156.1.1A Group-Specific Recommendation System
R-gsrsb1.2.1-lp156.1.1Group Sequential Refined Secondary Boundary
R-gstar0.1.0-lp156.18.1Generalized Space-Time Autoregressive Model
R-gStream0.2.0-lp156.2.1Graph-Based Sequential Change-Point Detection for Streaming
R-gstsm1.0.0-lp156.1.1Generalized Spatial-Time Sequence Miner
R-gsubfn0.7-lp156.2.1Utilities for strings and function arguments
R-GsymPoint1.1.2-lp156.1.1Estimation of the Generalized Symmetry Point, an Optimal Cut
R-gt0.7.0-lp156.3.1Easily Create Presentation-Ready Display Tables
R-gt4ireval2.0-lp156.2.1Generalizability Theory for Information Retrieval Evaluation
R-gtable0.3.5-lp156.2.1Arrange \'Grobs\' in Tables
R-gtcorr0.2.1-lp156.2.1Calculate efficiencies of group testing algorithms with corr
R-GTDL1.0.0-lp156.1.1The Generalized Time-Dependent Logistic Family
R-gte1.2.3-lp156.1.1Generalized Turnbull\'s Estimator
R-gTests0.2-lp156.7.1Graph-Based Two-Sample Tests
R-gTestsMulti0.1.1-lp156.1.1New Graph-Based Multi-Sample Tests
R-gtExtras0.4.3-lp156.1.1Extending \'gt\' for Beautiful HTML Tables
R-gtfs2emis0.1.0-lp156.4.1Estimating Public Transport Emissions from General Transit F
R-gtools3.9.5-lp156.1.1Various R programming tools
R-gtranslate0.0.1-lp156.2.1Translate Between Different Languages
R-gtrendsR1.5.1-lp156.6.1Perform and Display Google Trends Queries
R-gtWAS1.1.0-lp156.2.1Genome and Transcriptome Wide Association Study
R-guardianapi0.1.1-lp156.14.1Access \'The Guardian\' Newspaper Open Data API
R-GuardianR0.9-lp156.2.1The Guardian API Wrapper
R-Guerry1.8.3-lp156.1.1Maps, Data and Methods Related to Guerry (1833) \"Moral Stat
R-guescini0.1.0-lp156.2.1Real-Time PCR Data Sets by Guescini et al. (2008)
R-guess0.1-lp156.2.1Adjust Estimates of Learning for Guessing
R-GuessCompx1.0.3-lp156.12.1Empirically Estimates Algorithm Complexity
R-guf1.0.2-lp156.2.1Generally Useful Functions
R-guidedPLS1.0.0-lp156.1.1Supervised Dimensional Reduction by Guided Partial Least Squ
R-guildai0.0.1-lp156.2.1Track Machine Learning Experiments
R-guix.install1.0.0-lp156.1.1Install R Packages with GNU Guix
R-gumbel1.10.2-lp156.2.1The Gumbel-Hougaard Copula
R-gumboot1.0.1-lp156.2.1Bootstrap Analyses of Sampling Uncertainty in Goodness-of-Fi
R-gunit1.0.2-lp156.4.1Converts Conductance Units
R-gunsales0.1.2-lp156.9.1Statistical Analysis of Monthly Background Checks of Gun Pur
R-gustave1.0.0-lp156.1.1A User-Oriented Statistical Toolkit for Analytical Variance
R-gutenbergr0.2.4-lp156.2.1Download and Process Public Domain Works from Project Gutenb
R-GVARX1.4-lp156.2.1Perform Global Vector Autoregression Estimation and Inferenc
R-gvc6.4.0-lp156.1.1Global Value Chains Tools
R-gvcm.cat1.9-lp156.2.1Regularized Categorical Effects/Categorical Effect Modifiers
R-gvlma1.0.0.3-lp156.2.1Global Validation of Linear Models Assumptions
R-gwaRs0.3.0-lp156.11.1Manhattan, Q-Q, and PCA Plots using \'ggplot2\'
R-GWASExactHW1.2-lp156.2.1Exact Hardy-Weinburg Testing for Genome Wide Association Stu
R-gwasforest1.0.0-lp156.16.1Make Forest Plot with GWAS Data
R-gwasrapidd0.99.17-lp156.2.1\'REST\' \'API\' Client for the \'NHGRI\'-\'EBI\' \'GWAS\' C
R-gwbr1.0.5-lp156.1.1Local and Global Beta Regression
R-gwerAM1.0-lp156.2.1Controlling the genome-wide type I error rate in association
R-GWG1.0-lp156.2.1Calculation of probabilities for inadequate and excessive ge
R-GWI1.0.2-lp156.1.1Count and Continuous Generalized Variability Indexes
R-gWidgets21.0.9-lp156.1.1Rewrite of gWidgets API for Simplified GUI Construction
R-GWRM2.1.0.4-lp156.1.1Generalized Waring Regression Model for Count Data
R-gwrpvr1.0-lp156.2.1Genome-Wide Regression P-Value (Gwrpv)
R-gwrr0.2.2-lp156.7.1Fits Geographically Weighted Regression Models with Diagnost
R-GWsignif1.2-lp156.2.1Estimating Genome-Wide Significance for Whole Genome Sequenc
R-gwzinbr0.1.0-lp156.1.1Geographically Weighted Zero Inflated Negative Binomial Regr
R-GxEprs1.2-lp156.2.1Genotype-by-Environment Interaction in Polygenic Score Model
R-GxM1.1-lp156.2.1Maximum Likelihood Estimation for Gene-by-Measured Environme
R-gym0.1.0-lp156.2.1Provides Access to the OpenAI Gym API
R-h01.0.1-lp156.1.1A Robust Bayesian Meta-Analysis for Estimating the Hubble Co
R-h2o4gpu0.3.3-lp156.5.1Interface to \'H2O4GPU\'
R-H2x2Factorial2.0.0-lp156.1.1Sample Size Calculation in Hierarchical 2x2 Factorial Trials
R-h3lib0.1.3-lp156.1.1Exposes the \'Uber\' \'H3\' Library to R Packages
R-h3r0.1.1-lp156.2.1Hexagonal hierarchical geospatial indexing system
R-haarfisz4.5.4-lp156.1.1Software to Perform Haar Fisz Transforms
R-hablar0.3.2-lp156.1.1Non-Astonishing Results in R
R-hackeRnews0.1.0-lp156.11.1Wrapper for the \'Official Hacker News\' API
R-hacksaw0.0.2-lp156.15.1Additional Tools for Splitting and Cleaning Data
R-hacksig0.1.2-lp156.8.1A Tidy Framework to Hack Gene Expression Signatures
R-HadamardR1.0.0-lp156.7.1Hadamard Matrix Generation
R-hail0.1.1-lp156.2.1Read HYDRA Rainfall Data
R-hakaiApi1.0.2-lp156.6.1Authenticated HTTP Request Client for the \'Hakai\' API
R-halfcircle0.1.0-lp156.7.1Plot Halfcircle Diagram
R-halfmoon0.1.0-lp156.2.1Techniques to Build Better Balance
R-halk0.0.5-lp156.2.1Methods to Create Hierarchical Age Length Keys for Age Assig
R-hamlet0.9.6-lp156.2.1Hierarchical Optimal Matching and Machine Learning Toolbox
R-handcodeR0.1.2-lp156.3.1Text Annotation App
R-handlr0.3.0-lp156.4.1Convert Among Citation Formats
R-HandTill20011.0.1-lp156.2.1Multiple Class Area under ROC Curve
R-handyFunctions0.1.0-lp156.5.1Useful Functions for Handfully Manipulating and Analyzing Da
R-handyplots1.1.3-lp156.2.1Handy Plots
R-hansard0.8.0-lp156.18.1Provides Easy Downloading Capabilities for the UK Parliament
R-hapassoc1.2.9-lp156.1.1Inference of Trait Associations with SNP Haplotypes and Othe
R-Hapi0.0.3-lp156.14.1Inference of Chromosome-Length Haplotypes Using Genomic Data
R-HAPim1.3-lp156.2.1HapIM
R-haploReconstruct0.1.2-lp156.3.1Reconstruction of Haplotype-Blocks from Time Series Data
R-HaploSim1.8.4.2-lp156.1.1Functions to Simulate Haplotypes
R-haplotyper0.1-lp156.2.1Tool for Clustering Genotypes in Haplotypes
R-haplotypes1.1.3.1-lp156.2.1Manipulating DNA Sequences and Estimating Unambiguous Haplot
R-happybiRthday0.0.1-lp156.8.1Calculate Upcoming Birthday Dates of Github Repos
R-happytime0.1.0-lp156.2.1Two Games to Relieve the Boredom
R-hapsim0.31-lp156.2.1Haplotype Data Simulation
R-hardhat1.4.0-lp156.2.1Construct Modeling Packages
R-harmonicmeanp3.0.1-lp156.1.1Harmonic Mean p-Values and Model Averaging by Mean Maximum L
R-HarmonicRegression1.0-lp156.2.1Harmonic Regression to One or more Time Series
R-harmonizer0.3.2-lp156.1.1Harmonizing CN8 and PC8 Product Codes
R-harmonydata0.1.1-lp156.1.1R Library for \'Harmony\'
R-harrypotter2.1.1-lp156.14.1Palettes Generated from All \"Harry Potter\" Movies
R-Harvest.Tree1.1-lp156.2.1Harvest the Classification Tree
R-hash2.2.6.3-lp156.1.1Full Featured Implementation of Hash Tables/Associative Arra
R-hashFunction1.0-lp156.1.1A collection of non-cryptographic hash functions
R-hashids0.9.0-lp156.2.1Generate Short Unique YouTube-Like IDs (Hashes) from Integer
R-hashr0.1.4-lp156.1.1Hash R Objects to Integers Fast
R-Hassani.SACF2.0-lp156.1.1Computing Lower Bound of Ljung-Box Test
R-Hassani.Silva1.0-lp156.1.1A Test for Comparing the Predictive Accuracy of Two Sets of
R-HazardDiff0.1.0-lp156.1.1Conditional Treatment Effect for Competing Risks
R-hazer1.1.1-lp156.2.1Identifying Foggy and Cloudy Images by Quantifying Haziness
R-hazus0.1-lp156.4.1Damage functions from FEMA\'s HAZUS software for use in mode
R-HBglm0.1-lp156.2.1Hierarchical Bayesian Regression for GLMs
R-hbim1.1.2-lp156.1.1Hill/Bliss Independence Model for Combination Vaccines
R-hbm1.0-lp156.2.1Hierarchical Block Matrix Analysis
R-hbmem0.3.4-lp156.1.1Hierarchical Bayesian Analysis of Recognition Memory
R-hbsae1.2-lp156.1.1Hierarchical Bayesian Small Area Estimation
R-HBSTM1.0.2-lp156.1.1Hierarchical Bayesian Space-Time Models for Gaussian Space-T
R-hcandersenr0.2.0-lp156.2.1H.C. Andersens Fairy Tales
R-hcc0.54-lp156.2.1Hidden correlation check
R-hcci1.1.0-lp156.2.1Interval Estimation of Linear Models with Heteroskedasticity
R-hcidata0.1.0-lp156.2.1HCI Datasets
R-HCmodelSets1.1.3-lp156.1.1Regression with a Large Number of Potential Explanatory Vari
R-hcp0.1-lp156.2.1Change Point Estimation for Regression with Heteroscedastic
R-HCR0.1.1-lp156.2.1Causal Discovery from Discrete Data using Hidden Compact Rep
R-hctrial0.1.0-lp156.2.1Using Historical Controls for Designing Phase II Clinical Tr
R-hda0.2.14-lp156.3.1Heteroscedastic Discriminant Analysis
R-HDCD1.1-lp156.2.1High-Dimensional Changepoint Detection
R-HDcpDetect0.1.0-lp156.2.1Detect Change Points in Means of High Dimensional Data
R-HDCurves0.1.2-lp156.1.1Hierarchical Derivative Curve Estimation
R-hdd0.1.1-lp156.2.1Easy Manipulation of Out of Memory Data Sets
R-HDDesign1.1-lp156.2.1Sample Size Calculation for High Dimensional Classification
R-hddtools0.9.4-lp156.7.1Hydrological Data Discovery Tools
R-hdfqlr0.6.2-lp156.1.1Interface to \'HDFql\' API
R-HDGLM0.1-lp156.2.1Tests for High Dimensional Generalized Linear Models
R-HDInterval0.2.4-lp156.1.1Highest (Posterior) Density Intervals
R-hdiVAR1.0.2-lp156.1.1Statistical Inference for Noisy Vector Autoregression
R-HDMD1.2-lp156.2.1Statistical Analysis Tools for High Dimension Molecular Data
R-HDMT1.0.4-lp156.1.1A Multiple Testing Procedure for High-Dimensional Mediation
R-HDOMDesign1.0.1-lp156.3.1High-Dimensional Orthogonal Maximin Distance Designs
R-hdpca1.1.5-lp156.1.1Principal Component Analysis in High-Dimensional Data
R-hdqr1.0.0-lp156.2.1Fast Algorithm for Penalized Quantile Regression
R-hdrcde3.4-lp156.14.1Highest density regions and conditional density estimation
R-hds0.8.1-lp156.2.1Hazard Discrimination Summary
R-HDShOP0.1.5-lp156.2.1High-Dimensional Shrinkage Optimal Portfolios
R-HDSinRdata0.1.2-lp156.1.1Data for the \'Mastering Health Data Science Using R\' Onlin
R-hdsvm1.0.0-lp156.2.1Fast Algorithm for Support Vector Machine
R-HDtest2.1-lp156.4.1High Dimensional Hypothesis Testing for Mean Vectors, Covari
R-HDtweedie1.2-lp156.1.1The Lasso for Tweedie\'s Compound Poisson Model Using an IRL
R-headliner0.0.3-lp156.5.1Compose Sentences to Describe Comparisons
R-HealthCal0.1.1-lp156.1.1Health Calculator
R-healthcare.antitrust0.1.4-lp156.1.1Healthcare Antitrust Analysis
R-healthdb0.3.1-lp156.2.1Working with Healthcare Databases
R-healthfinance0.1.0-lp156.20.1Financial Projections and Planning for Health Care Practices
R-healthforum0.1.0-lp156.6.1Scrape Patient Forum Data
R-heapsofpapers0.1.0-lp156.8.1Easily Download Heaps of PDF and CSV Files
R-heatex1.0-lp156.2.1Heat exchange calculations during physical activity.
R-heatmap.plus1.3-lp156.2.1Heatmap with more sensible behavior.
R-heatmap31.1.9-lp156.1.1An Improved Heatmap Package
R-heatmapFit2.0.4-lp156.2.1Fit Statistic for Binary Dependent Variable Models
R-HEDA0.1.5-lp156.11.1\'Hydropeaking Events Detection Algorithm\'
R-heddlr0.6.0-lp156.3.1Dynamic R Markdown Document Generation
R-heims0.4.0-lp156.6.1Decode and Validate HEIMS Data from Department of Education,
R-helda1.1.5-lp156.14.1Preprocess Data and Get Better Insights from Machine Learnin
R-HellCor1.3-lp156.4.1The Hellinger Correlation
R-hellno0.0.1-lp156.2.1Providing \'stringsAsFactors=FALSE\' Variants of \'data.fram
R-hemispheR1.1.4-lp156.1.1Processing Hemispherical Canopy Images
R-here1.0.1-lp156.2.1A Simpler Way to Find Your Files
R-hereR1.0.0-lp156.2.1\'sf\'-Based Interface to the \'HERE\' REST APIs
R-heritability1.4-lp156.1.1Marker-Based Estimation of Heritability Using Individual Pla
R-heritEWAS0.2.0-lp156.2.1Identify Heritable Methylation Marks
R-hermite1.1.2-lp156.3.1Generalized Hermite Distribution
R-het.test0.1-lp156.2.1White\'s Test for Heteroskedasticity
R-HeterFunctionalData0.1.0-lp156.2.1Test of No Main and/or Interaction Effects in Functional Dat
R-HEtools1.0.0-lp156.1.1Homomorphic Encryption Polynomials
R-hetsurr1.0-lp156.1.1Assessing Heterogeneity in the Utility of a Surrogate Marker
R-hett0.3.3-lp156.2.1Heteroscedastic t-Regression
R-hettest1.0-lp156.1.1Testing for a Treatment Effect Using a Heterogeneous Surroga
R-hettreatreg0.1.0-lp156.2.1Heterogeneous Treatment Effects in Regression Analysis
R-hetu1.0.7-lp156.3.1Structural Handling of Finnish Personal Identity Codes
R-HextractoR1.4-lp156.7.1Integrated Tool for Hairping Extraction of RNA Sequences
R-hextri0.9.17-lp156.1.1Hexbin Plots with Triangles
R-hexView0.3.4-lp156.2.1Viewing Binary Files
R-hfhub0.1.1-lp156.1.1Hugging Face Hub Interface
R-hflights0.1-lp156.2.1Flights that departed Houston in 2011
R-hfr0.7.1-lp156.1.1Estimate Hierarchical Feature Regression Models
R-hglasso1.3-lp156.13.1Learning Graphical Models with Hubs
R-hglm2.2.1-lp156.2.1Hierarchical Generalized Linear Models
R-hglm.data1.0.1-lp156.2.1Data for the \'hglm\' Package
R-hgm1.23-lp156.1.1Holonomic Gradient Method and Gradient Descent
R-HGMND0.1.0-lp156.5.1Heterogeneous Graphical Model for Non-Negative Data
R-hgnc0.1.4-lp156.2.1Download and Import the HUGO Gene Nomenclature Committee (\'
R-HGNChelper0.8.14-lp156.2.1Identify and Correct Invalid HGNC Human Gene Symbols and MGI
R-HGSL1.0.0-lp156.2.1Heterogeneous Group Square-Root Lasso
R-hgutils0.2.11-lp156.11.1Collection of Utility Functions
R-hhi1.2.0-lp156.14.1Calculate and Visualize the Herfindahl-Hirschman Index
R-hht2.1.6-lp156.3.1The Hilbert-Huang Transform: Tools and Methods
R-HI0.5-lp156.1.1Simulation from distributions supported by nested hyperplane
R-HiClimR2.2.1-lp156.1.1Hierarchical Climate Regionalization
R-hiddenf2.0-lp156.2.1The All-Configurations, Maximum-Interaction F-Test for Hidde
R-HiddenMarkov1.8.13-lp156.1.1Hidden Markov Models
R-hidecan1.1.0-lp156.4.1Create HIDECAN Plots for Visualising Genome-Wide Association
R-hier.part1.0.6-lp156.2.1Hierarchical Partitioning
R-hierband1.0-lp156.2.1Convex Banding of the Covariance Matrix
R-hierBipartite0.0.2-lp156.1.1Bipartite Graph-Based Hierarchical Clustering
R-hierDiversity0.1-lp156.2.1Hierarchical Multiplicative Partitioning of Complex Phenotyp
R-hierNet1.9-lp156.2.1A Lasso for Hierarchical Interactions
R-HierPorfolios0.1.0-lp156.1.1Hierarchical Clustering-Based Portfolio Allocation Strategie
R-hierSDR0.1-lp156.7.1Hierarchical Sufficient Dimension Reduction
R-hiertest1.1-lp156.2.1Convex Hierarchical Testing of Interactions
R-HIest2.0-lp156.2.1Hybrid index estimation
R-highD2pop1.0-lp156.2.1Two-Sample Tests for Equality of Means in High Dimension
R-HighDimOut1.0.0-lp156.7.1Outlier Detection Algorithms for High-Dimensional Data
R-highDmean0.1.0-lp156.2.1Testing Two-Sample Mean in High Dimension
R-HighestMedianRules1.0-lp156.2.1Implementation of Voting Rules Electing the Candidate with H
R-highlight0.5.1-lp156.1.1Syntax Highlighter
R-highlightHTML0.2.5-lp156.2.1Highlight HTML Text and Tables
R-highmean3.0-lp156.3.1Two-Sample Tests for High-Dimensional Mean Vectors
R-highOrderPortfolios0.1.1-lp156.8.1Design of High-Order Portfolios Including Skewness and Kurto
R-highr0.11-lp156.2.1Syntax Highlighting for R Source Code
R-highSCREEN0.4-lp156.1.1High-Throughput Screening for Plate Based Essays
R-hightR0.3.0-lp156.1.1HIGHT Algorithm
R-highTtest1.3-lp156.1.1Simultaneous Critical Values for t-Tests in Very High Dimens
R-higrad0.1.0-lp156.2.1Statistical Inference for Online Learning and Stochastic App
R-hildareadR0.2.0-lp156.18.1Extract Variables from HILDA
R-hillmakeR0.2-lp156.2.1Perform occupancy analysis
R-hillR0.5.2-lp156.4.1Diversity Through Hill Numbers
R-HiLMM1.1-lp156.2.1Estimation of Heritability in Linear Mixed Models
R-himach0.3.2-lp156.2.1High Mach Finds Routes for Supersonic Aircraft
R-hindex0.2.0-lp156.14.1Simulating the Development of h-Index Values
R-hindexcalculator1.0.0-lp156.2.1H-Index Calculator using Data from a Web of Science (WoS) Ci
R-hint0.1.3-lp156.1.1Tools for Hypothesis Testing Based on Hypergeometric Interse
R-hiphop0.0.1-lp156.2.1Parentage Assignment using Bi-Allelic Genetic Markers
R-hippie0.1.0-lp156.2.1Hippie Code Completion in \'RStudio\'
R-HistDat0.2.0-lp156.1.1Summary Statistics for Histogram/Count Data
R-HistData0.9.1-lp156.1.1Data Sets from the History of Statistics and Data Visualizat
R-histmdl0.7.1-lp156.2.1A Most Informative Histogram-Like Model
R-histogram0.0.25-lp156.2.1Construction of Regular and Irregular Histograms with Differ
R-historydata0.1-lp156.2.1Data Sets for Historians
R-histoslider0.1.1-lp156.3.1A Histogram Slider Input for \'Shiny\'
R-hitandrun0.5.6-lp156.1.1\"Hit and Run\" and \"Shake and Bake\" for Sampling Uniforml
R-HIV.LifeTables0.1-lp156.2.1HIV calibrated model life tables for countries with generali
R-hivdata0.1.0-lp156.1.1Six-Year Chronological Data of HIV and ART Cases in Pakistan
R-HK800.0.2-lp156.2.1Conversion Tools for HK80 Geographical Coordinate System
R-hkclustering1.0.1-lp156.2.1Ensemble Clustering using K Means and Hierarchical Clusterin
R-hkdatasets1.0.0-lp156.3.1Datasets Related to Hong Kong
R-hkex.api0.1-lp156.4.1API to Retrieve Data from Hong Kong Stock Exchange
R-hlidacr0.2.0-lp156.8.1Access Data from the \'Hlídač Státu\' API
R-HLSM0.9.0-lp156.5.1Hierarchical Latent Space Network Model
R-HMDHFDplus2.0.3-lp156.2.1Read Human Mortality Database and Human Fertility Database D
R-hmeasure1.0.2-lp156.2.1The H-measure and other scalar classification performance me
R-HMM1.0.1-lp156.1.1Hidden Markov Models
R-hmm.discnp3.0.9-lp156.1.1Hidden Markov Models with Discrete Non-Parametric Observatio
R-HMMCont1.0-lp156.2.1Hidden Markov Model for Continuous Observations Processes
R-HMMextra0s1.1.0-lp156.1.1Hidden Markov Models with Extra Zeros
R-hmmm1.0.5-lp156.2.1Hierarchical Multinomial Marginal Models
R-HMMpa1.0.1-lp156.2.1Analysing Accelerometer Data Using Hidden Markov Models
R-hmmr1.0.0-lp156.1.1\"Mixture and Hidden Markov Models with R\" Datasets and Exa
R-HMP2.0.1-lp156.14.1Hypothesis Testing and Power Calculations for Comparing Meta
R-HMPTrees1.4-lp156.15.1Statistical Object Oriented Data Analysis of RDP-Based Taxon
R-hms1.1.3-lp156.1.1Pretty Time of Day
R-HMTL0.1.0-lp156.1.1Heterogeneous Multi-Task Feature Learning
R-HMVD1.0-lp156.2.1Group Association Test using a Hidden Markov Model
R-hnp1.2.6-lp156.2.1Half-Normal Plots with Simulation Envelopes
R-hoa2.1.4.1-lp156.2.1Higher Order Likelihood Inference
R-hoardr0.5.4-lp156.1.1Manage Cached Files
R-HOasso1.0.1-lp156.2.1Higher Order Assortativity for Complex Networks
R-hockeyR1.3.0-lp156.1.1Collect and Clean Hockey Stats
R-HodgesTools1.0.0-lp156.8.1Common Use Tools for Genomic Analysis
R-holdem1.2-lp156.2.1Texas Holdem Simulator
R-Holidays1.0.7-lp156.2.1Holiday and Half-Day Data, for Use with the \'TimeWarp\' Pac
R-holiglm1.0.0-lp156.1.1Holistic Generalized Linear Models
R-holodeck0.2.2-lp156.1.1A Tidy Interface for Simulating Multivariate Data
R-homals1.0.10-lp156.3.1Gifi Methods for Optimal Scaling
R-homeR0.3.0-lp156.2.1Useful Functions for Building Physics
R-Homeric0.1.3-lp156.2.1Doughnut Plots
R-homologene1.4.68.19.3.27-lp156.14.1Quick Access to Homologene and Gene Annotation Updates
R-HomomorphicEncryption0.9.0-lp156.1.1BFV, BGV, CKKS Schema for Fully Homomorphic Encryption
R-homtest1.0.5-lp156.2.1Homogeneity tests for Regional Frequency Analysis
R-hoopR2.1.0-lp156.4.1Access Men\'s Basketball Play by Play Data
R-hopbyhop3.41-lp156.14.1Transmissions and Receptions in a Hop by Hop Network
R-hopkins1.1-lp156.1.1Calculate Hopkins Statistic for Clustering
R-horizon1.2-lp156.2.1Horizon Search Algorithm
R-HoRM0.1.3-lp156.9.1Supplemental Functions and Datasets for \"Handbook of Regres
R-hornpa1.1.0-lp156.1.1Horn\'s (1965) Test to Determine the Number of Components/Fa
R-horserule1.0.0-lp156.13.1Flexible Non-Linear Regression with the HorseRule Algorithm
R-horseshoe0.2.0-lp156.2.1Implementation of the Horseshoe Prior
R-hospitals0.1.0-lp156.6.1Portuguese \'NHS\' Hospitals
R-Hotelling1.0.8-lp156.1.1Hotelling\'s T^2 Test and Variants
R-hotspot1.0-lp156.2.1Software Hotspot Analysis
R-hotspots1.0.3-lp156.2.1Hot Spots
R-housingData0.3.0-lp156.2.1U.S. Housing Data from 2008 to 2016
R-hover0.1.1-lp156.13.1CSS Animations for \'shiny\' Button Elements
R-howmany0.3.1-lp156.2.1A lower bound for the number of correct rejections
R-howzatR1.0.1-lp156.2.1Useful Functions for Cricket Analysis
R-HPbayes0.1-lp156.2.1Heligman Pollard mortality model parameter estimation using
R-hpcwld0.6.5-lp156.1.1High Performance Cluster Models Based on Kiefer-Wolfowitz Re
R-hpfilter1.0.2-lp156.1.1The One- And Two-Sided Hodrick-Prescott Filter
R-HPLB1.0.0-lp156.2.1High-Probability Lower Bounds for the Total Variance Distanc
R-HQM0.1.0-lp156.1.1Superefficient Estimation of Future Conditional Hazards Base
R-hqmisc0.2.1-lp156.1.1Miscellaneous Convenience Functions and Dataset
R-hrcomprisk0.1.1-lp156.2.1Nonparametric Assessment Between Competing Risks Hazard Rati
R-hrIPW0.1.3-lp156.2.1Hazard Ratio Estimation using Cox Model Weighted by the Esti
R-HRM.curve0.0.1-lp156.2.1High-Resolution Melting (HRM) Curve Analysis
R-HRW1.0.5-lp156.1.1Datasets, Functions and Scripts for Semiparametric Regressio
R-HSAUR1.3.10-lp156.1.1A Handbook of Statistical Analyses Using R (1st Edition)
R-HSAUR21.1.20-lp156.1.1A Handbook of Statistical Analyses Using R (2nd Edition)
R-hscovar0.4.2-lp156.1.1Calculation of Covariance Between Markers for Half-Sib Famil
R-hSDM1.4.4-lp156.1.1Hierarchical Bayesian Species Distribution Models
R-hse0.0.28-lp156.1.1The hse Distribution
R-hsem1.0-lp156.1.1Hierarchical Structural Equation Model
R-hset0.1.1-lp156.1.1Sets of Numbers Implemented with Hash Tables
R-HSEtest0.1.0-lp156.1.1Homogeneity of Stratum Effects Test
R-hsicCCA1.0-lp156.2.1Canonical Correlation Analysis based on Kernel Independence
R-hsm0.2.0-lp156.2.1A Path-Based BCD for Proximal Function of Latent Group Lasso
R-hsmm0.4-lp156.2.1Hidden Semi Markov Models
R-hspm1.1-lp156.3.1Heterogeneous Spatial Models
R-HSPOR1.1.9-lp156.20.1Hidden Smooth Polynomial Regression for Rupture Detection
R-HSSVD1.2-lp156.2.1Biclustering with Heterogeneous Variance
R-htestClust0.2.2-lp156.1.1Reweighted Marginal Hypothesis Tests for Clustered Data
R-htm2txt2.2.2-lp156.1.1Convert Html into Text
R-html51.0.2-lp156.1.1Creates Valid HTML5 Strings
R-htmltab0.8.2-lp156.1.1Assemble Data Frames from HTML Tables
R-htmltools0.5.8.1-lp156.2.1Tools for HTML
R-HTMLUtils0.1.9-lp156.1.1Facilitates Automated HTML Report Creation
R-htree2.0.0-lp156.2.1Historical Tree Ensembles for Longitudinal Data
R-HTSeed0.1.0-lp156.2.1Fitting of Hydrotime Model for Seed Germination Time Course
R-httpcache1.2.0-lp156.2.1Query Cache for HTTP Clients
R-httpcode0.3.0-lp156.2.1\'HTTP\' Status Code Helper
R-httping0.2.0-lp156.9.1\'Ping\' \'URLs\' to Time \'Requests\'
R-httpproblems1.0.1-lp156.1.1Report Errors in Web Applications with \'Problem Details\' (
R-httpRequest0.0.11-lp156.1.1Basic HTTP Request
R-httr1.4.7-lp156.1.1Tools for working with URLs and HTTP
R-hubeau0.5.0-lp156.2.1Get Data from the French National Database on Water \'Hub\'E
R-hudr1.2.0-lp156.10.1Providing Data from the US Department of Housing and Urban D
R-hues0.2.0-lp156.2.1Distinct Colour Palettes Based on \'iwanthue\'
R-humanize0.2.0-lp156.6.1Create Values for Human Consumption
R-humidity0.1.5-lp156.2.1Calculate Water Vapor Measures from Temperature and Dew Poin
R-HURDAT0.2.3.2-lp156.7.1Hurricane Re-Analysis Project
R-hurdlr0.1-lp156.2.1Zero-Inflated and Hurdle Modelling Using Bayesian Inference
R-HurreconR1.1-lp156.2.1Models Hurricane Wind Speed, Wind Direction, and Wind Damage
R-hurricaneexposure0.1.1-lp156.20.1Explore and Map County-Level Hurricane Exposure in the Unite
R-hutils1.8.1-lp156.1.1Miscellaneous R Functions and Aliases
R-HW.pval1.0-lp156.2.1Testing Hardy-Weinberg Equilibrium for Multiallelic Genes
R-hwde0.67.3-lp156.1.1Models and Tests for Departure from Hardy-Weinberg Equilibri
R-HWEintrinsic1.2.3-lp156.1.1Objective Bayesian Testing for the Hardy-Weinberg Equilibriu
R-hwriter1.3.2.1-lp156.1.1HTML Writer - Outputs R objects in HTML format
R-hwsdr1.1-lp156.2.1Interface to the \'HWSD\' Web Services
R-hwwntest1.3.2-lp156.1.1Tests of White Noise using Wavelets
R-HybridDesign1.0-lp156.2.1Hybrid Design for Phase I Dose-Finding Studies
R-HybridMC0.2-lp156.2.1Implementation of the Hybrid Monte Carlo and Multipoint Hybr
R-hybridModels0.3.7-lp156.15.1An R Package for the Stochastic Simulation of Disease Spread
R-hybridogram0.3.2-lp156.4.1Function that Creates a Heat Map from Hybridization Data
R-hydflood0.5.7-lp156.1.1Flood Extents and Durations along the Rivers Elbe and Rhine
R-hydra0.1.0-lp156.2.1Hyperbolic Embedding
R-hydraulics0.7.0-lp156.2.1Basic Pipe and Open Channel Hydraulics
R-hydroApps0.1.1-lp156.2.1Tools and models for hydrological applications
R-HYDROCAL1.0.0-lp156.1.1Hydraulic Roughness Calculator
R-HydroCode1.0.3-lp156.1.1Hydrological Codes
R-hydroDCindex1.0.0-lp156.2.1Duration Curve Hydrological Model Indexes
R-hydroEvents0.11-lp156.2.1Extract Event Statistics in Hydrologic Time Series
R-hydrogeo0.6.1-lp156.2.1Groundwater Data Presentation and Interpretation
R-hydroGOF0.6.0-lp156.2.1Goodness-of-Fit Functions for Comparison of Simulated and Ob
R-hydrolinks0.10.0-lp156.5.1Hydrologic Network Linking Data and Tools
R-HydroMe2.1.1-lp156.2.1Estimating Water Retention and Infiltration Model Parameters
R-hydropeak0.1.2-lp156.1.1Detect and Characterize Sub-Daily Flow Fluctuations
R-hydroscoper1.4.1-lp156.5.1Interface to the Greek National Data Bank for Hydrometeorolo
R-hydrostats0.2.9-lp156.1.1Hydrologic Indices for Daily Time Series Data
R-hydroTSM0.7.0-lp156.1.1Time Series Management and Analysis for Hydrological Modelli
R-hyfo1.4.6-lp156.2.1Hydrology and Climate Forecasting
R-hyperbolicDEA1.0.0-lp156.3.1Hyperbolic DEA Estimation
R-HyperbolicDist0.6.5-lp156.1.1The hyperbolic distribution
R-hyperbrick1.0-lp156.2.1Accessory Tools for Preprocessing Hyper-Spectral Images
R-hypergate0.8.5-lp156.1.1Machine Learning of Hyperrectangular Gating Strategies for H
R-hypergea1.3.6-lp156.1.1Hypergeometric Tests
R-hypergeo1.2.13-lp156.2.1The Gauss Hypergeometric Function
R-hypersampleplan0.1.1-lp156.2.1Attribute Sampling Plan with Exact Hypergeometric Probabilit
R-hyperSMURF2.0-lp156.8.1Hyper-Ensemble Smote Undersampled Random Forests
R-HyPhy1.0-lp156.2.1Macroevolutionary phylogentic analysis of species trees and
R-hypothesestest1.0-lp156.2.1Confidence Intervals and Tests of Statistical Hypotheses
R-hypothesisr0.1.1-lp156.14.1Wrapper for the \'Hypothes.is\' Web Annotation Service
R-hypr0.2.8-lp156.1.1Hypothesis Matrix Translation
R-HyRiM2.0.2-lp156.3.1Multicriteria Risk Management using Zero-Sum Games with Vect
R-HYRISK1.2-lp156.2.1Hybrid Methods for Addressing Uncertainty in RISK Assessment
R-hystReet0.0.3-lp156.3.1Get Pedestrian Frequency Data from the \'Hystreet\' Project
R-i18n0.2.0-lp156.1.1Internationalization Data from the \'Unicode CLDR\' in Tabul
R-IAbin1.0-lp156.2.1Plotting N-T Plane for Decision on Performing an Interim Ana
R-IAcsSPCR1.2.1-lp156.12.1Data and Functions for \"An Intro. to Accept. Samp. & SPC/R\
R-iAdapt2.0.1-lp156.10.1Two-Stage Adaptive Dose-Finding Clinical Trial Design
R-iadf0.1.2-lp156.10.1Analysis of Intra Annual Density Fluctuations
R-ialiquor0.1.0-lp156.2.1Monthly Iowa Liquor Sales Summary
R-IalsaSynthesis0.1.6-lp156.2.1Synthesizing Information Across Collaborating Research
R-iapws1.1-lp156.1.1Formulations of the International Association for the Proper
R-IASD1.1.1-lp156.1.1Model Selection for Index of Asymmetry Distribution
R-IAT0.3-lp156.16.1Cleaning and Visualizing Implicit Association Test (IAT) Dat
R-ibb0.0.2-lp156.12.1R Wrapper for Istanbul Municipality Open Data Portal
R-IBCF.MTME1.6.0-lp156.15.1Item Based Collaborative Filtering for Multi-Trait and Multi
R-IBDhaploRtools1.8-lp156.2.1Functions for the Analysis of IBD Haplo Output
R-IBDLabels1.1-lp156.2.1Convert Between Different IBD-State Labelling Schemes
R-ibelief1.3-lp156.2.1Belief Function Implementation
R-IBFS1.0.0-lp156.1.1Initial Basic Feasible Solution for Transportation Problem
R-ibmAcousticR0.2.1-lp156.2.1Connect to Your \'IBM Acoustic\' Data
R-ibmdbR1.51.0-lp156.1.1IBM in-Database Analytics for R
R-Iboot0.1.1-lp156.2.1Iboot: iterated bootstrap tests and confidence sets.
R-ibr2.0.4-lp156.1.1Iterative Bias Reduction
R-iBreakDown2.1.2-lp156.1.1Model Agnostic Instance Level Variable Attributions
R-IBrokers0.10.2-lp156.1.1R API to Interactive Brokers Trader Workstation
R-IBRtools0.1.3-lp156.2.1Integrating Biomarker-Based Assessments and Radarchart Creat
R-ic.infer1.1.7-lp156.1.1Inequality Constrained Inference in Linear Normal Situations
R-IC21.0.1-lp156.2.1Inequality and Concentration Indices and Curves
R-ic501.4.2-lp156.2.1Standardized high-throughput evaluation of cell-based compou
R-ica1.0.3-lp156.1.1Independent Component Analysis
R-ICAFF1.0.1-lp156.2.1Imperialist Competitive Algorithm
R-icapca1.1-lp156.2.1Mixed ICA/PCA
R-icarus0.3.2-lp156.1.1Calibrates and Reweights Units in Samples
R-ICBayes1.2-lp156.2.1Bayesian Semiparametric Models for Interval-Censored Data
R-ICC2.4.0-lp156.1.1Facilitating Estimation of the Intraclass Correlation Coeffi
R-ICC.Sample.Size1.0-lp156.2.1Calculation of Sample Size and Power for ICC
R-ICCbin1.1.1-lp156.2.1Facilitates Clustered Binary Data Generation, and Estimation
R-iccde0.3.6-lp156.1.1Computation of the Double-Entry Intraclass Correlation
R-iccTraj1.0.4-lp156.1.1Estimates the Intraclass Correlation Coefficient for Traject
R-icd.data1.0-lp156.2.1International Classifcation of Diseases (ICD) Data
R-ICD10gm1.2.5-lp156.2.1Metadata Processing for the German Modification of the ICD-1
R-icdGLM1.0.0-lp156.2.1EM by the Method of Weights for Incomplete Categorical Data
R-icdpicr1.0.1-lp156.4.1\'ICD\' Programs for Injury Categorization in R
R-ICE0.69-lp156.2.1Iterated Conditional Expectation
R-ICEbox1.1.5-lp156.1.1Individual Conditional Expectation Plot Toolbox
R-icecream0.2.2-lp156.1.1Print Debugging Made Sweeter
R-ICEinfer1.3-lp156.2.1Incremental Cost-Effectiveness Inference using Two Unbiased
R-icemelt1.0-lp156.2.1Parameter Estimation in Linear Transformation Model with Int
R-icesAdvice2.1.1-lp156.1.1Functions Related to ICES Advice
R-icesDatras1.4.1-lp156.1.1DATRAS Trawl Survey Database Web Services
R-icesSAG1.4.1-lp156.2.1Stock Assessment Graphs Database Web Services
R-icesVocab1.2.0-lp156.2.1ICES Vocabularies Database Web Services
R-ICGE0.4.2-lp156.1.1Estimation of Number of Clusters and Identification of Atypi
R-ICglm0.1.0-lp156.1.1Information Criteria for Generalized Linear Regression
R-ICGOR2.0-lp156.3.1Fit Generalized Odds Rate Hazards Model with Interval Censor
R-iCiteR0.2.1-lp156.2.1A Minimal Wrapper Around NIH\'s \'iCite\' API
R-iCluster2.1.0-lp156.3.1Integrative clustering of multiple genomic data types
R-icmm1.2-lp156.1.1Empirical Bayes Variable Selection via ICM/M Algorithm
R-ICODS1.1-lp156.1.1Data Analysis for ODS and Case-Cohort Designs with Interval-
R-ICON0.4.0-lp156.7.1Provides Easy Access to Complex Systems Datasets
R-iconr0.1.0-lp156.6.1Graphical and Spatial Analysis for Prehistoric Iconography
R-icpsrdata0.6.1-lp156.2.1Reproducible Data Retrieval from the ICPSR Archive
R-icrf2.0.2-lp156.1.1Interval Censored Recursive Forests
R-ICS1.4.1-lp156.3.1Tools for Exploring Multivariate Data via ICS/ICA
R-ICSNP1.1.2-lp156.3.1Tools for Multivariate Nonparametrics
R-ICSOutlier0.4.0-lp156.3.1Outlier Detection Using Invariant Coordinate Selection
R-ICSS1.1-lp156.1.1ICSS Algorithm by Inclan/Tiao (1994)
R-ICSsmoothing1.2.8-lp156.1.1Data Smoothing by Interpolating Cubic Splines
R-ICsurv1.0.1-lp156.1.1Semiparametric Regression Analysis of Interval-Censored Data
R-icsw1.0.0-lp156.2.1Inverse Compliance Score Weighting
R-ICV1.0-lp156.2.1Indirect Cross-Validation (ICV) for Kernel Density Estimatio
R-idarps0.0.4-lp156.2.1Datasets and Functions for the Class \"Modelling and Data An
R-idbg1.0-lp156.2.1R debugger
R-IDCard0.3.0-lp156.7.1Update Chinese ID Card Number to Eighteen Digits
R-IDConverter0.3.4-lp156.1.1Convert Identifiers in Biological Databases
R-IDEAFilter0.2.0-lp156.2.1Agnostic, Idiomatic Data Filter Module for Shiny
R-ideamdb0.0.9-lp156.17.1Easy Manipulation of IDEAM\'s Climatological Data
R-identity0.2.1-lp156.2.1Jacquard Condensed Coefficients of Identity
R-ider0.1.1-lp156.1.1Various Methods for Estimating Intrinsic Dimension
R-IDetect0.1.0-lp156.2.1Isolate-Detect Methodology for Multiple Change-Point Detecti
R-IDF2.1.2-lp156.2.1Estimation and Plotting of IDF Curves
R-idiogramFISH2.0.13-lp156.2.1Shiny App. Idiograms with Marks and Karyotype Indices
R-idm1.8.3-lp156.6.1Incremental Decomposition Methods
R-idmact1.0.1-lp156.1.1Interpreting Differences Between Mean ACT Scores
R-idmc0.3.0-lp156.2.1Load and Wrangle IDMC Displacement Data
R-IDmining1.0.7-lp156.1.1Intrinsic Dimension for Data Mining
R-idmodelr0.4.0-lp156.7.1Infectious Disease Model Library and Utilities
R-idmTPreg1.1-lp156.2.1Regression Model for Progressive Illness Death Data
R-iDOS1.0.1-lp156.2.1Integrated Discovery of Oncogenic Signatures
R-IDPmisc1.1.21-lp156.1.1\'Utilities of Institute of Data Analyses and Process Design
R-IDPSurvival1.2-lp156.2.1Imprecise Dirichlet Process for Survival Analysis
R-idr1.3-lp156.1.1Irreproducible Discovery Rate
R-ids1.0.1-lp156.2.1Generate Random Identifiers
R-IDSL.CSA1.2-lp156.2.1Composite Spectra Analysis (CSA) for High-Resolution Mass Sp
R-IDSL.FSA1.2-lp156.1.1Fragmentation Spectra Analysis (FSA)
R-IDSL.IPA2.9-lp156.2.1Intrinsic Peak Analysis (IPA) for HRMS Data
R-IDSL.MXP2.0-lp156.1.1Parser for mzML, mzXML, and netCDF Files (Mass Spectrometry
R-IDSL.NPA1.2-lp156.2.1Nominal Peak Analysis (NPA)
R-IDSL.SUFA1.3-lp156.1.1Simplified UFA
R-IDSL.UFA2.0-lp156.2.1United Formula Annotation (UFA) for HRMS Data Processing
R-IDSL.UFAx1.9.1-lp156.2.1Exhaustive Chemical Enumeration for United Formula Annotatio
R-idx2r1.0.0-lp156.2.1Convert Files to and from IDX Format to Vectors, Matrices an
R-iDynoR1.0-lp156.3.1R Analysis package for iDynoMiCS Simulation Results
R-ie2misc0.9.1-lp156.3.1Irucka Embry\'s Miscellaneous USGS Functions
R-ie2miscdata1.0.4-lp156.1.1Irucka Embry\'s Miscellaneous USGS Data Collection
R-iemisctext1.0.1-lp156.2.1Irucka Embry\'s Miscellaneous Text Collection
R-IETD1.0.0-lp156.21.1Inter-Event Time Definition
R-ifa7.0-lp156.2.1Independent Factor Analysis
R-iFad3.0-lp156.3.1An integrative factor analysis model for drug-pathway associ
R-ifctools0.3.6-lp156.1.1Italian Fiscal Code (\'Codice Fiscale\') Utilities
R-IFMCDM0.1.17-lp156.1.1Intuitionistic Fuzzy Multi-Criteria Decision Making Methods
R-ifo0.1.0-lp156.1.1Client for the Ifo Institute Time Series
R-ifpd0.1.0-lp156.1.1Indonesia Food Prices Data
R-ifs0.1.10-lp156.2.1Iterated Function Systems
R-ifultools2.0.26-lp156.2.1Insightful Research Tools
R-ifultools-devel2.0.26-lp156.2.1Development files for ifultools
R-ig.vancouver.2014.topcolour0.1.2.0-lp156.2.1Instagram 2014 Vancouver Top Colour Dataset
R-IgAScores0.1.2-lp156.2.1Score Taxon-Level IgA Binding in IgA-Seq Experiments
R-IGCities0.2.0-lp156.1.1Simulate Impact of Different Urban Policies Through a Genera
R-igoR0.2.0-lp156.1.1Intergovernmental Organizations Database
R-IGP0.2.1-lp156.1.1Interchangeable Gaussian Process Models
R-igraphdata1.0.1-lp156.2.1A Collection of Network Data Sets for the \'igraph\' Package
R-igraphinshiny0.1-lp156.17.1Use \'shiny\' to Demo \'igraph\'
R-igraphtosonia1.0-lp156.7.1Convert iGraph graps to SoNIA .son files
R-igraphwalshdata0.1.0-lp156.1.1\'igraph\' Datasets from Melanie Walsh
R-igrf1.0-lp156.1.1International Geomagnetic Reference Field
R-iGSEA1.2-lp156.2.1Integrative Gene Set Enrichment Analysis Approaches
R-IGST0.1.0-lp156.3.1Informative Gene Selection Tool
R-ihpdr1.2.1-lp156.21.1Download Data from the International House Price Database
R-iIneq1.0.2-lp156.1.1Computing Individual Components of the Gini and the Theil In
R-IIProductionUnknown0.0.3-lp156.1.1Analyzing Data Through of Percentage of Importance Indice (P
R-ijtiff2.3.4-lp156.2.1Comprehensive TIFF I/O with Full Support for \'ImageJ\' TIFF
R-ILS0.3-lp156.3.1Interlaboratory Study
R-IM1.0-lp156.2.1Orthogonal Moment Analysis
R-imabc1.0.0-lp156.2.1Incremental Mixture Approximate Bayesian Computation (IMABC)
R-image2data1.0.1-lp156.1.1Turn Images into Data Sets
R-imagefluency0.2.5-lp156.3.1Image Statistics Based on Processing Fluency
R-imagefx0.4.1-lp156.2.1Extract Features from Images
R-imageseg0.5.0-lp156.5.1Deep Learning Models for Image Segmentation
R-IMak2.1.0-lp156.1.1Item Maker
R-Imap1.32-lp156.2.1Interactive Mapping
R-ImCluster0.1.0-lp156.1.1Efficiency of Cluster Sampling for Crop Surveys
R-IMD1.2.2-lp156.8.1Index of Multiple Deprivation Data for the UK
R-imdbapi0.1.0-lp156.17.1Get Movie, Television Data from the \'imdb\' Database
R-IMFData0.2.0-lp156.3.1R Interface for International Monetary Fund(IMF) Data API
R-imfr0.1.9.1-lp156.9.1Download Data from the International Monetary Fund\'s Data A
R-imguR1.0.3-lp156.3.1An Imgur.com API Client Package
R-ImHD0.1.0-lp156.2.1Artificial Intelligence Based Machine Learning Algorithms fo
R-IMIS0.1-lp156.2.1Increamental Mixture Importance Sampling
R-iml0.11.3-lp156.2.1Interpretable Machine Learning
R-IMmailgun0.1.2-lp156.2.1Send Emails using \'Mailgun\'
R-ImNN0.1.0-lp156.1.1Neural Networks for Predicting Volume of Forest Trees
R-imola0.5.0-lp156.9.1CSS Layouts (Grid and Flexbox) Implementation for R/Shiny
R-IMP1.1-lp156.22.1Interactive Model Performance Evaluation
R-IMPACT0.1.1-lp156.2.1The Impact of Items
R-ImpactIV1.0-lp156.2.1Identifying Causal Effect for Multi-Component Intervention U
R-impimp0.3.1-lp156.2.1Imprecise Imputation for Statistical Matching
R-implicitExpansion0.1.0-lp156.1.1Array Operations for Arrays of Mismatching Sizes
R-implicitMeasures0.2.1-lp156.9.1Compute Scores for Different Implicit Measures
R-implied0.5-lp156.1.1Convert Between Bookmaker Odds and Probabilities
R-implyr0.5.0-lp156.1.1R Interface for Apache Impala
R-import1.3.2-lp156.1.1An Import Mechanism for R
R-ImportanceIndice0.0.2-lp156.1.1Analyzing Data Through of Percentage of Importance Indice an
R-importar0.1.1-lp156.2.1Enables Importing/Loading of Packages or Functions While Cre
R-impressionist.colors1.0-lp156.2.1Impressionism\'s Color Palettes
R-imprinting0.1.1-lp156.5.1Calculate Birth Year-Specific Probabilities of Immune Imprin
R-ImpShrinkage1.0.0-lp156.1.1Improved Shrinkage Estimations for Multiple Linear Regressio
R-imputeFin0.1.2-lp156.1.1Imputation of Financial Time Series with Missing Values and/
R-imputeGeneric0.1.0-lp156.9.1Ease the Implementation of Imputation Methods
R-ImputeLongiCovs0.1.0-lp156.1.1Longitudinal Imputation of Categorical Variables via a Joint
R-imputeMDR1.1.2-lp156.2.1The Multifactor Dimensionality Reduction (MDR) Analysis for
R-imputeR2.2-lp156.7.1A General Multivariate Imputation Framework
R-imputeREE0.0.5-lp156.3.1Impute Missing Rare Earth Element Data in Zircon
R-imputeTestbench3.0.3-lp156.23.1Test Bench for the Comparison of Imputation Methods
R-imsig1.1.3-lp156.9.1Immune Cell Gene Signatures for Profiling the Microenvironme
R-in2extRemes1.0.3-lp156.3.1Into the extRemes Package
R-inaparc1.2.0-lp156.2.1Initialization Algorithms for Partitioning Cluster Analysis
R-inbreedR0.3.3-lp156.1.1Analysing Inbreeding Based on Genetic Markers
R-incadata0.9.1-lp156.6.1Recognize and Handle Data in Formats Used by Swedish Cancer
R-incase0.3.2-lp156.1.1Pipe-Friendly Vector Replacement with Case Statements
R-incidence1.7.5-lp156.2.1Compute, Handle, Plot and Model Incidence of Dated Events
R-incidental0.1-lp156.14.1Implements Empirical Bayes Incidence Curves
R-incidentally1.0.2-lp156.5.1Generates Incidence Matrices and Bipartite Graphs
R-IncomPair0.1.0-lp156.2.1Comparison of Means for the Incomplete Paired Data
R-incR2.1.0-lp156.1.1Analysis of Incubation Data
R-inctools1.0.15-lp156.17.1Incidence Estimation Tools
R-IndependenceTests0.5-lp156.2.1Non-Parametric Tests of Independence Between Random Vectors
R-IndepTest0.2.0-lp156.4.1Nonparametric Independence Tests Based on Entropy Estimation
R-index00.0.1-lp156.1.1Zero-Based Indexing in R
R-IndexConstruction0.1.3-lp156.8.1Index Construction for Time Series Data
R-IndexNumber1.3.2-lp156.1.1Index Numbers in Social Sciences
R-IndexNumR0.6.0-lp156.1.1Index Number Calculation
R-IndexWizard0.2.1.0-lp156.1.1Constructing and Analyzing Complex Selection Indices
R-IndGenErrors0.1.4-lp156.1.1Tests of Independence Between Innovations of Generalized Err
R-india0.1-lp156.1.1Influence Diagnostics in Statistical Models
R-IndianTaxCalc1.0.2-lp156.2.1Indian Income Tax Calculator
R-indiedown0.1.1-lp156.14.1Individual R Markdown Templates
R-indirect0.2.1-lp156.1.1Elicitation of Independent Conditional Means Priors for Gene
R-IndTestPP3.0-lp156.2.1Tests of Independence and Analysis of Dependence Between Poi
R-inegiR3.0.0-lp156.18.1Integrate INEGI’s (Mexican Stats Office) API with R
R-ineptR0.2.1-lp156.1.1Wrapper for Statistics Portugal API
R-ineq0.2.13-lp156.2.1Measuring Inequality, Concentration, and Poverty
R-ineq.2d0.1.0-lp156.1.1Two-Dimensional Decomposition of the Theil Index and the Squ
R-ineqJD1.0-lp156.2.1Inequality Joint Decomposition
R-InfDim1.0-lp156.2.1Infine-dimensional model (IDM) to analyse phenotypic variati
R-inference0.1.0-lp156.2.1Functions to extract inferential values of a fitted model ob
R-InferenceSMR1.0.2-lp156.1.1Inference About the Standardized Mortality Ratio when Evalua
R-InfiniumPurify1.3.1-lp156.2.1Estimate and Account for Tumor Purity in Cancer Methylation
R-infix0.1.0-lp156.2.1Basic Infix Binary Operators
R-Inflation0.1.0-lp156.2.1Core Inflation
R-Inflect1.1.0-lp156.1.1Melt Curve Fitting and Melt Shift Analysis
R-inflection1.3.6-lp156.1.1Finds the Inflection Point of a Curve
R-influence.SEM2.3-lp156.3.1Case Influence in Structural Equation Models
R-influenceAUC0.1.2-lp156.18.1Identify Influential Observations in Binary Classification
R-influenceR0.1.5-lp156.4.1Software Tools to Quantify Structural Importance of Nodes in
R-influxdbclient0.1.2-lp156.2.1\'InfluxDB\' 2.x Client
R-influxdbr0.14.2-lp156.18.1R Interface to InfluxDB
R-infoDecompuTE0.6.2-lp156.2.1Information Decomposition of Two-Phase Experiments
R-infoelectoral1.0.2-lp156.1.1Download Spanish Election Results
R-Information0.0.9-lp156.14.1Data Exploration with Information Theory (Weight-of-Evidence
R-InformationValue1.2.3-lp156.13.1Performance Analysis and Companion Functions for Binary Clas
R-InformativeCensoring0.3.6-lp156.1.1Multiple Imputation for Informative Censoring
R-informedSen1.0.7-lp156.1.1Sensitivity Analysis Informed by a Test for Bias
R-informR1.0.5-lp156.7.1Sequence Statistics for Relational Event Models
R-infotheo1.2.0.1-lp156.1.1Information-Theoretic Measures
R-InfoTrad1.2-lp156.11.1Calculates the Probability of Informed Trading (PIN)
R-infra0.1.2-lp156.2.1An Infrastructure Proxy Function
R-infraFDTD.assist0.6-lp156.11.1IO Help for infraFDTD Model
R-infutil1.0-lp156.4.1Information Utility
R-ingredients2.3.0-lp156.1.1Effects and Importances of Model Ingredients
R-ini0.3.1-lp156.2.1Read and Write \'.ini\' Files
R-injectoR0.2.4-lp156.2.1R Dependency Injection
R-InjurySeverityScore0.0.0.2-lp156.15.1Translate ICD-9 into Injury Severity Score
R-injurytools1.0.3-lp156.1.1A Toolkit for Sports Injury Data Analysis
R-INLAspacetime0.1.8-lp156.2.1Spatial and Spatio-Temporal Models using \'INLA\'
R-inlcolor1.0.6-lp156.1.1Color Schemes for the USGS Idaho National Laboratory Project
R-inldata1.2.3-lp156.2.1Collection of Datasets for the USGS-INL Monitoring Networks
R-inline0.3.19-lp156.1.1Functions to Inline C, C++, Fortran Function Calls from R
R-inlinedocs2023.9.4-lp156.1.1Convert Inline Comments to Documentation
R-innsight0.3.0-lp156.1.1Get the Insights of Your Neural Network
R-ino1.0.2-lp156.1.1Initialization of Numerical Optimization
R-inops0.0.1-lp156.2.1Infix Operators for Detection, Subsetting and Replacement
R-InPosition0.12.7.1-lp156.2.1Inference Tests for ExPosition
R-INQC2.0.5-lp156.5.1Quality Control of Climatological Daily Time Series
R-Inquilab0.1.0-lp156.2.1Dissipation Kinetics Analysis, Half Life Period, Rate Consta
R-insect1.4.2-lp156.5.1Informatic Sequence Classification Trees
R-insideRODE2.0-lp156.2.1insideRODE includes buildin functions with deSolve solver an
R-insideRODE-devel2.0-lp156.2.1Development files for insideRODE
R-insiderTrades0.0.1-lp156.2.1Tools to Download Insider Transactions and Holdings
R-insol1.2.2-lp156.4.1Solar Radiation
R-InspectChangepoint1.2-lp156.1.1High-Dimensional Changepoint Estimation via Sparse Projectio
R-inspector1.0.3-lp156.1.1Validation of Arguments and Objects in User-Defined Function
R-instagramadsR0.1.0-lp156.1.1Access to Instagram Ads via the \'Windsor.ai\' API
R-install.load1.2.5-lp156.1.1Check, Install and Load CRAN Packages
R-installr0.23.4-lp156.4.1Using R to Install Stuff on Windows OS (Such As: R, \'Rtools
R-instaR0.2.4-lp156.2.1Access to Instagram API via R
R-insuranceData1.0-lp156.2.1A Collection of Insurance Datasets Useful in Risk Classifica
R-InsuSensCalc0.0.1-lp156.2.1Insulin Sensitivity Indices Calculator
R-intamapInteractive1.1.13-lp156.2.1Interactive Add-on Functionality for \'intamap\'
R-IntCal0.3.1-lp156.1.1Radiocarbon Calibration Curves
R-intccr3.0.4-lp156.1.1Semiparametric Competing Risks Regression under Interval Cen
R-IntegrateBs0.1.0-lp156.2.1Integration for B-Spline
R-intendo0.1.1-lp156.2.1A Group of Fun Datasets of Various Sizes and Differing Level
R-intensegRid0.1.2-lp156.6.1R Wrapper for the Carbon Intensity API
R-intensity.analysis0.1.6-lp156.14.1Intensity of Change for Comparing Categorical Maps from Sequ
R-Interact1.1-lp156.2.1Tests for marginal interactions in a 2 class response model
R-interactionTest1.2-lp156.2.1Calculates Critical Test Statistics to Control False Discove
R-InteractiveIGraph1.0.6.1-lp156.2.1interactive network analysis and visualization.
R-Interatrix1.1.4-lp156.1.1Compute Chi-Square Measures with Corrections
R-interferenceCI1.1-lp156.2.1Exact Confidence Intervals in the Presence of Interference
R-interfr0.1.0-lp156.3.1Interference Color Charts for Polarized Light Microscopy
R-intergraph2.0.4-lp156.2.1Coercion Routines for Network Data Objects
R-interim0.8.0-lp156.2.1Scheduling Interim Analyses in Clinical Trials
R-interimApp0.0.1-lp156.13.1App for Scheduling Interim Analyses in Clinical Trials
R-interlineaR1.0-lp156.7.1Importing Interlinearized Corpora and Dictionaries as Produc
R-InterNL0.1.0-lp156.3.1Time Series Intervention Model Using Non-Linear Function
R-interplex0.1.2-lp156.1.1Coercion Methods for Simplicial Complex Data Structures
R-Interpol1.3.1-lp156.2.1Interpolation of amino acid sequences
R-Interpol.T2.1.1-lp156.2.1Hourly interpolation of multiple temperature daily series
R-interpret0.1.33-lp156.1.1Fit Interpretable Machine Learning Models
R-InterpretMSSpectrum1.4.5-lp156.1.1Interpreting High Resolution Mass Spectra
R-interpretR0.2.5-lp156.1.1Binary Classifier and Regression Model Interpretation Functi
R-InterVA41.7.6-lp156.2.1Replicate and Analyse \'InterVA4\'
R-InterVA51.1.3-lp156.8.1Replicate and Analyse \'InterVA5\'
R-IntervalQuestionStat0.2.0-lp156.1.1Tools to Deal with Interval-Valued Responses in Questionnair
R-intervcomp0.1.2-lp156.2.1Hypothesis Testing Using the Overlapping Interval Estimates
R-interventionalDBN1.2.2-lp156.2.1Interventional Inference for Dynamic Bayesian Networks
R-IntLik1.0-lp156.3.1Numerical Integration for Integrated Likelihood
R-intoo0.4.0-lp156.2.1Minimal Language-Like Extensions
R-inTrees1.4-lp156.2.1Interpret Tree Ensembles
R-intRegGOF0.85.5-lp156.2.1Integrated Regression Goodness of Fit
R-INTRIGUE0.1.0-lp156.12.1Quantify and Control Reproducibility in High-Throughput Expe
R-intrinsicDimension1.2.0-lp156.2.1Intrinsic Dimension Estimation
R-introgress1.2.3-lp156.2.1methods for analyzing introgression between divergent lineag
R-intrval0.1.2-lp156.2.1Relational Operators for Intervals
R-intsurvbin0.0.4-lp156.2.1Survival and Binary Data Integration
R-intubate1.0.0-lp156.2.1Interface to Popular R Functions for Data Science Pipelines
R-inum1.0.5-lp156.1.1Interval and Enum-Type Representation of Vectors
R-InvasionCorrection0.1-lp156.2.1Invasion Correction
R-invctr0.2.0-lp156.2.1Infix Functions For Vector Operations
R-Inventorymodel1.1.0.1-lp156.1.1Inventory Models
R-inverseRegex0.1.1-lp156.1.1Reverse Engineers Regular Expression Patterns for R Objects
R-investr1.4.2-lp156.1.1Inverse Estimation/Calibration Functions
R-invgamma1.1-lp156.2.1The Inverse Gamma Distribution
R-invGauss1.2-lp156.6.1Threshold Regression that Fits the (Randomized Drift) Invers
R-invLT0.2.1-lp156.2.1Inversion of Laplace-Transformed Functions
R-InvStablePrior0.1.1-lp156.2.1Inverse Stable Prior for Widely-Used Exponential Models
R-iNZightMR2.3.0-lp156.1.1Tools for Exploring Multiple Response Data
R-iNZightTools2.0.1-lp156.3.1Tools for \'iNZight\'
R-io0.3.2-lp156.7.1A Unified Framework for Input-Output Operations in R
R-ioanalysis0.3.4-lp156.10.1Input Output Analysis
R-ioncopy2.2.2-lp156.13.1Calling Copy Number Alterations in Amplicon Sequencing Data
R-iopspackage2.1.0-lp156.3.1IO-PS Framework Package
R-iopsych0.90.1-lp156.2.1Methods for Industrial/Organizational Psychology
R-iosmooth0.94-lp156.2.1Functions for Smoothing with Infinite Order Flat-Top Kernels
R-iotools0.3.5-lp156.1.1I/O Tools for Streaming
R-IP0.1.3-lp156.2.1Classes and Methods for \'IP\' Addresses
R-ip2location8.1.3-lp156.1.1Lookup for IP Address Information
R-ip2proxy1.2.0-lp156.1.1Lookup for IP Address Proxy Information
R-ipa0.1.0-lp156.6.1Convert Between Phonetic Alphabets
R-ipADMIXTURE0.1.0-lp156.18.1Iterative Pruning Population Admixture Inference Framework
R-ipbase0.1.1-lp156.1.1Client for the \'ipbase.com\' IP Geolocation API
R-ipc0.1.4-lp156.4.1Tools for Message Passing Between Processes
R-IPCWK1.0-lp156.2.1Kendall\'s Tau Partial Corr. for Survival Trait and Biomarke
R-ipcwswitch1.0.4-lp156.1.1Inverse Probability of Censoring Weights to Deal with Treatm
R-IPDfromKM0.1.10-lp156.2.1Map Digitized Survival Curves Back to Individual Patient Dat
R-ipdmeta2.4-lp156.2.1Tools for subgroup analyses with multiple trial data using a
R-ipdw2.0.0-lp156.7.1Spatial Interpolation by Inverse Path Distance Weighting
R-ipeadatar0.1.6-lp156.12.1API Wrapper for \'Ipeadata\'
R-IPEC1.1.0-lp156.1.1Root Mean Square Curvature Calculation
R-IPEDS0.1.0-lp156.6.1Data from the Integrated Post-Secondary Education Data Syste
R-iperform0.0.3-lp156.1.1Time Series Performance
R-ipfp1.0.2-lp156.1.1Fast Implementation of the Iterative Proportional Fitting Pr
R-ipfr1.0.2-lp156.17.1List Balancing for Reweighting and Population Synthesis
R-ipify0.2.0-lp156.1.1Query the Ipify Service
R-ipkg1.1.1-lp156.1.1Install R Packages or Download File from GitHub via the Prox
R-iplookupapi0.1.0-lp156.1.1Client for the \'iplookupapi.com\' IP Lookup API
R-IPMbook0.1.5-lp156.1.1Functions and Data for the Book \'Integrated Population Mode
R-ipmisc6.0.2-lp156.1.1Miscellaneous Functions for Data Cleaning and Analysis
R-IPMRF1.2-lp156.2.1Intervention in Prediction Measure (IPM) for Random Forests
R-IPPP1.1-lp156.2.1Inhomogeneous Poisson Point Processes
R-ipptoolbox1.2-lp156.2.1IPP Toolbox
R-ipr0.1.0-lp156.2.1Iterative Proportional Repartition Algorithm
R-ips0.0.12-lp156.2.1Interfaces to Phylogenetic Software in R
R-ipsfs1.0.0-lp156.1.1Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity
R-ipsRdbs1.0.0-lp156.2.1Introduction to Probability, Statistics and R for Data-Based
R-iptmnetr0.1.8-lp156.1.1Interface to the \'iPTMnet\' API
R-IPWboxplot0.1.2-lp156.1.1Adapted Boxplot to Missing Observations
R-ipwCoxCSV1.0-lp156.2.1Inverse Probability Weighted Cox Model with Corrected Sandwi
R-ipwErrorY2.1-lp156.2.1Inverse Probability Weighted Estimation of Average Treatment
R-IQCC0.7-lp156.2.1Improved Quality Control Charts
R-iqLearn1.5-lp156.2.1Interactive Q-Learning
R-irace3.5-lp156.1.1Iterated Racing for Automatic Algorithm Configuration
R-iRafNet1.1.1-lp156.3.1Integrative Random Forest for Gene Regulatory Network Infere
R-IRATER0.0.1-lp156.2.1A R Interface for the Instantaneous RATEs (IRATE) Model
R-ircor1.0-lp156.2.1Correlation Coefficients for Information Retrieval
R-IRdisplay1.1-lp156.8.1\'Jupyter\' Display Machinery
R-iRegression1.2.1-lp156.2.1Regression Methods for Interval-Valued Variables
R-iRepro1.2-lp156.1.1Reproducibility for Interval-Censored Data
R-irg0.1.6-lp156.3.1Instantaneous Rate of Green Up
R-IRISMustangMetrics2.4.6-lp156.2.1Statistics and Metrics for Seismic Data
R-IRISSeismic1.6.6-lp156.4.1Classes and Methods for Seismic Data Analysis
R-IRkernel1.3.2-lp156.4.1Native R Kernel for the \'Jupyter Notebook\'
R-irlba2.3.5.1-lp156.1.1Fast Truncated Singular Value Decomposition and Principal Co
R-iRoCoDe1.0.1-lp156.1.1Incomplete Row-Column Designs
R-irr0.84.1-lp156.2.1Various Coefficients of Interrater Reliability and Agreement
R-IRR2FPR0.1.1-lp156.2.1Computing False Positive Rate from Inter-Rater Reliability
R-irrCAC1.0-lp156.2.1Computing Chance-Corrected Agreement Coefficients (CAC)
R-irrICC1.0-lp156.2.1Intraclass Correlations for Quantifying Inter-Rater Reliabil
R-irrNA0.2.3-lp156.1.1Coefficients of Interrater Reliability – Generalized for R
R-IRTBEMM1.0.8-lp156.1.1Family of Bayesian EMM Algorithm for Item Response Models
R-irtDemo0.1.4-lp156.14.1Item Response Theory Demo Collection
R-irtplay1.6.5-lp156.1.1Unidimensional Item Response Theory Modeling
R-irtProb1.2-lp156.2.1Utilities and Probability Distributions Related to Multidime
R-isa20.3.6-lp156.1.1The Iterative Signature Algorithm
R-isaeditor0.1.1-lp156.4.1Tools to Manipulate ISA-Tab Files
R-ISAR0.1.12-lp156.1.1Introduction to Sports Analytics using R (ISAR) Data
R-ISAT1.0.5-lp156.7.1Extract Cell Density and Nearest Distance Based on \'PerkinE
R-isatabr1.0.1-lp156.1.1Implementation for the ISA Abstract Model
R-ISBF0.2.1-lp156.2.1Iterative Selection of Blocks of Features - ISBF
R-ISCO08ConveRsions0.2.0-lp156.1.1Converts ISCO-08 to Job Prestige Scores, ISCO-88 and Job Nam
R-iscoCrosswalks1.0.0-lp156.2.1Crosswalks Between Classifications of Occupations
R-isdals3.0.1-lp156.1.1Datasets for Introduction to Statistical Data Analysis for t
R-isdparser0.4.0-lp156.14.1Parse \'NOAA\' Integrated Surface Data Files
R-isingLenzMC0.2.5-lp156.2.1Monte Carlo for Classical Ising Model
R-ISLR1.4-lp156.1.1Data for an Introduction to Statistical Learning with Applic
R-ISLR21.3.2-lp156.1.1Introduction to Statistical Learning, Second Edition
R-ismev1.42-lp156.2.1An Introduction to Statistical Modeling of Extreme Values
R-ismtchile2.1.5-lp156.2.1Calculating Socio Material Territorial Index
R-Iso0.0.21-lp156.1.1Functions to Perform Isotonic Regression
R-ISO11784Tools1.1.4-lp156.2.1ISO11784 PIT Tag ID Format Converters
R-isoband0.2.7-lp156.2.1Generate Isolines and Isobands from Regularly Spaced Elevati
R-isocalcR0.1.1-lp156.1.1Isotope Calculations in R
R-isocat0.3.0-lp156.1.1Isotope Origin Clustering and Assignment Tools
R-IsoCheck0.1.0-lp156.14.1Isomorphism Check for Multi-Stage Factorial Designs with Ran
R-IsoCI1.1-lp156.2.1Confidence intervals for current status data based on transf
R-isocir2.0.7.1-lp156.1.1Isotonic Inference for Circular Data
R-ISOcodes2024.02.12-lp156.1.1Selected ISO Codes
R-IsoCorr1.0-lp156.2.1Correcting Drift and Carry-over in Continuous Isotopic Measu
R-isocountry0.2.0-lp156.2.1ISO 3166-1 Country Codes
R-isogeochem1.1.1-lp156.1.1Tools for Stable Isotope Geochemistry
R-isokernel0.1.0-lp156.1.1Isolation Kernel
R-IsoMemo23.10.1-lp156.1.1Retrieve Data using the \'IsoMemo\' API
R-isopam2.0-lp156.1.1Clustering of Sites with Species Data
R-isopat1.0-lp156.2.1Calculation of isotopic pattern for a given molecular formul
R-isopleuros1.2.0-lp156.1.1Ternary Plots
R-isoreader1.3.2-lp156.3.1Read Stable Isotope Data Files
R-isotone1.1.1-lp156.1.1Active Set and Generalized PAVA for Isotone Optimization
R-ISOweek0.6.2-lp156.7.1Week of the year and weekday according to ISO 8601
R-ispdata1.1.2-lp156.2.1Access Data from the Public Security Institute of the State
R-ISR2022.4.22-lp156.1.1The Iterated Score Regression-Based Estimation Algorithm
R-ISRaD2.5.5-lp156.4.1Tools and Data for the International Soil Radiocarbon Databa
R-ISS1.0.0-lp156.1.1Isotonic Subgroup Selection
R-istacr0.2.2-lp156.2.1Obtaining Open Data from Instituto Canario De Estadistica (I
R-italy0.1.0-lp156.2.1The Italian Survey on Household and Wealth, 2008 and 2010
R-itan3.1.1-lp156.6.1Item Analysis for Multiple Choice Tests
R-itcSegment1.0-lp156.2.1Individual Tree Crowns Segmentation
R-itdr2.0.1-lp156.2.1Integral Transformation Methods for SDR in Regression
R-iTensor0.99.0-lp156.1.1ICA-Based Matrix/Tensor Decomposition
R-iteratoR0.1.1-lp156.1.1Print Loop Iterations at Exponentially Disparate Intervals
R-iterators1.0.14-lp156.1.1Provides Iterator Construct
R-iterLap1.1.4-lp156.1.1Approximate Probability Densities by Iterated Laplace Approx
R-iterors1.0-lp156.1.1Fast, Compact Iterators and Tools
R-iterpc0.4.2-lp156.3.1Efficient Iterator for Permutations and Combinations
R-itertools0.1.3-lp156.2.1Iterator Tools
R-itertools20.1.1-lp156.2.1itertools2: Functions creating iterators for efficient loopi
R-ITGM0.41-lp156.4.1Individual Tree Growth Modeling
R-iTOP1.0.2-lp156.2.1Inferring the Topology of Omics Data
R-itraxR1.12.2-lp156.1.1Itrax Data Analysis Tools
R-ITRLearn1.0.1-lp156.2.1Statistical Learning for Individualized Treatment Regime
R-ITRSelect1.0.1-lp156.2.1Variable Selection for Optimal Individualized Dynamic Treatm
R-itsadug2.4.1-lp156.1.1Interpreting Time Series and Autocorrelated Data Using GAMMs
R-itsdm0.2.1-lp156.4.1Isolation Forest-Based Presence-Only Species Distribution Mo
R-itsmr1.10-lp156.1.1Time Series Analysis Using the Innovations Algorithm
R-iva0.1.0-lp156.2.1Instrumental Variable Analysis in Case-Control Association S
R-ivaBSS1.0.0-lp156.2.1Tools for Independent Vector Analysis
R-ivdesign0.1.0-lp156.2.1Hypothesis Testing in Cluster-Randomized Encouragement Desig
R-ivfixed1.0-lp156.2.1Instrumental fixed effect panel data model
R-ivitr0.1.0-lp156.13.1Estimate IV-Optimal Individualized Treatment Rules
R-ivmodel1.9.1-lp156.2.1Statistical Inference and Sensitivity Analysis for Instrumen
R-ivmte1.4.0-lp156.1.1Instrumental Variables: Extrapolation by Marginal Treatment
R-ivpanel1.0-lp156.2.1Instrumental Panel Data Models
R-ivprobit1.1-lp156.2.1Instrumental Variables Probit Model
R-ivs0.2.0-lp156.1.1Interval Vectors
R-IVYplot0.1.0-lp156.2.1Produces an IVY Plot (Similar to Dot Plot) with/without Freq
R-iwaqr1.8.4-lp156.2.1Irrigation Water Quality Assessment and Visualizations
R-iWeigReg1.1-lp156.1.1Improved Methods for Causal Inference and Missing Data Probl
R-iWISA1.0.2-lp156.19.1Wavelet-Based Index of Storm Activity
R-IxPopDyMod0.3.0-lp156.1.1Framework for Tick Population and Infection Modeling
R-iZID0.0.1-lp156.3.1Identify Zero-Inflated Distributions
R-izmir0.1.0-lp156.3.1R Wrapper for Izmir Municipality Open Data Portal
R-jaatha3.2.5-lp156.1.1Simulation-Based Maximum Likelihood Parameter Estimation
R-jab.adverse.reactions1.0.3-lp156.1.1Possible Adverse Events/Reactions from the Vaccinations/Expe
R-jabr0.1.2-lp156.3.1Easy Access for West Java Data
R-jackknifeR1.2.0-lp156.1.1Delete-d Jackknife for Point and Interval Estimation
R-jackstrap0.1.0-lp156.18.1Correcting Nonparametric Frontier Measurements for Outliers
R-jacpop0.6-lp156.2.1Jaccard Index for Population Structure Identification
R-JADE2.0.4-lp156.1.1Blind Source Separation Methods Based on Joint Diagonalizati
R-jadeLizardOptions1.0.1-lp156.2.1Trading Jade Lizard Option Strategies
R-jage0.1.0-lp156.1.1Estimation of Developmental Age
R-jaggR0.1.1-lp156.2.1Supporting Files and Functions for the Book Bayesian Modelli
R-jalcal0.1.0-lp156.1.1Conversion Between Jalali (Persian or Solar Hijri) and Grego
R-JamendoR0.1.1-lp156.8.1Access to \'Jamendo\' API
R-james.analysis1.0.1-lp156.2.1Analysis Tools for the \'JAMES\' Framework
R-janeaustenr1.0.0-lp156.1.1Jane Austen\'s Complete Novels
R-janitor2.2.0-lp156.3.1Simple Tools for Examining and Cleaning Dirty Data
R-jaod0.3.0-lp156.10.1Directory of Open Access Journals Client
R-japanmesh0.1.1-lp156.12.1Functions for the Japanese Regional Mesh Codes (\'JIS X 0410
R-japanstat0.1.0-lp156.12.1Tools for Easy Use of \'e-Stat\' API
R-JASPAR0.0.1-lp156.2.1R modules for JASPAR databases: a collection of transcriptio
R-Jaya0.1.9-lp156.6.1Jaya, a Gradient-Free Optimization Algorithm
R-jcext0.1.1-lp156.18.1Extended Classification of Weather Types
R-jcolors0.0.5-lp156.2.1Colors Palettes for R and \'ggplot2\', Additional Themes for
R-jcp1.2-lp156.1.1Joint Change Point Detection
R-JCRImpactFactor1.0.0-lp156.5.1Journal Citation Reports (\'JCR\') Impact Factor by \'Clariv
R-jdenticon0.1.1-lp156.1.1A Wrapper for the Node.js \'Jdenticon\' Library
R-Jdmbs1.4-lp156.14.1Monte Carlo Option Pricing Algorithms for Jump Diffusion Mod
R-jeek1.1.1-lp156.7.1A Fast and Scalable Joint Estimator for Integrating Addition
R-jetpack0.5.5-lp156.2.1A Friendly Package Manager
R-JFE2.5.7-lp156.1.1Tools for Analyzing Time Series Data of Just Finance and Eco
R-JGEE1.1-lp156.2.1Joint Generalized Estimating Equation Solver
R-JGL2.3.2-lp156.2.1Performs the Joint Graphical Lasso for Sparse Inverse Covari
R-JICO0.0-lp156.1.1Joint and Individual Regression
R-jiebaRD0.1-lp156.2.1Chinese Text Segmentation Data for jiebaR Package
R-jipApprox0.1.5-lp156.1.1Approximate Inclusion Probabilities for Survey Sampling
R-JirAgileR0.0.2.1-lp156.1.1JIRA REST API Wrapper for R
R-jjb0.1.1-lp156.2.1Balamuta Miscellaneous
R-JLPM1.0.2-lp156.3.1Joint Latent Process Models
R-JM1.5.2-lp156.1.1Joint Modeling of Longitudinal and Survival Data
R-jmdem1.0.1-lp156.2.1Fitting Joint Mean and Dispersion Effects Models
R-JMdesign1.5-lp156.1.1Joint Modeling of Longitudinal and Survival Data - Power Cal
R-jmdl0.3.0-lp156.2.1Joint Mean-Correlation Regression Approach for Discrete Long
R-jmetrik1.1-lp156.2.1Tools for Interacting with \'jMetrik\'
R-Jmisc0.3.1.1-lp156.1.1Julian Miscellaneous Function
R-jmuOutlier2.2-lp156.2.1Permutation Tests for Nonparametric Statistics
R-JNplots0.1.1-lp156.2.1Visualize Outputs from the \'Johnson-Neyman\' Technique
R-job0.3.1-lp156.2.1Run Code as an RStudio Job - Free Your Console
R-jocre0.3.3-lp156.3.1Joint Confidence Regions
R-JoF0.1.0-lp156.2.1Modelling and Simulating Judgments of Frequency
R-Johnson1.4-lp156.2.1Johnson Transformation
R-joineR1.2.8-lp156.1.1Joint Modelling of Repeated Measurements and Time-to-Event D
R-joint.Cox3.16-lp156.1.1Joint Frailty-Copula Models for Tumour Progression and Death
R-jointCalib0.1.0-lp156.3.1A Joint Calibration of Totals and Quantiles
R-jointDiag0.4-lp156.2.1Joint Approximate Diagonalization of a Set of Square Matrice
R-jointMeanCov0.1.0-lp156.2.1Joint Mean and Covariance Estimation for Matrix-Variate Data
R-jointNmix1.0-lp156.2.1Joint N-Mixture Models for Site-Associated Species
R-jointPm2.3.2-lp156.1.1Risk Estimation Using the Joint Probability Method
R-jointVIP0.1.2-lp156.1.1Prioritize Variables with Joint Variable Importance Plot in
R-JOPS0.1.19-lp156.2.1Practical Smoothing with P-Splines
R-JoSAE0.3.0-lp156.2.1Unit-Level and Area-Level Small Area Estimation
R-josaplay0.1.3-lp156.2.1Add Josa Based on Previous Letter in Korean
R-jot0.0.4-lp156.2.1Jot Down Values for Later
R-journalabbr0.4.3-lp156.3.1Journal Abbreviations for BibTeX Documents
R-jpeg0.1.10-lp156.2.1Read and write JPEG images
R-JPEN1.0-lp156.2.1Covariance and Inverse Covariance Matrix Estimation Using Jo
R-jpstat0.4.0-lp156.2.1Tools for Easy Use of \'e-Stat\', \'RESAS\' API, Etc
R-jqbr1.0.3-lp156.4.1\'jQuery QueryBuilder\' Input for \'Shiny\'
R-jquerylib0.1.4-lp156.7.1Obtain \'jQuery\' as an HTML Dependency Object
R-jrc0.6.0-lp156.3.1Exchange Commands Between R and \'JavaScript\'
R-JRF0.1.4-lp156.2.1Joint Random Forest (JRF) for the Simultaneous Estimation of
R-jrich0.60.35-lp156.4.1Jack-Knife Support for Evolutionary Distinctiveness Indices
R-jrvFinance1.4.3-lp156.1.1Basic Finance; NPV/IRR/Annuities/Bond-Pricing; Black Scholes
R-jScore0.1.0-lp156.1.1Calculates the j-Score Between Two Clustering Assignments
R-json2aRgs0.3.0-lp156.1.1Parse Parameters Inside a Docker Container
R-json640.1.3-lp156.2.1A \'Base64\' Encode/Decode Package with Support for JSON Out
R-jSonarR1.1.1-lp156.3.1jSonar Analytics Platform API for R
R-jsonstat0.0.2-lp156.14.1Interface to \'JSON-stat\'
R-jsontools0.1.0-lp156.7.1Working with JSON Vectors
R-JSparO1.5.0-lp156.1.1Joint Sparse Optimization via Proximal Gradient Method for C
R-jstor0.3.11-lp156.2.1Read Data from JSTOR/DfR
R-JSUparameters1.0.0-lp156.1.1Estimate Parameters of the Best-Fitting JohnsonSU Distributi
R-jtrans0.2.1-lp156.2.1Johnson Transformation for Normality
R-jubilee0.3.3-lp156.17.1Forecasting Long-Term Growth of the U.S. Stock Market and Bu
R-juicr0.1-lp156.2.1Automated and Manual Extraction of Numerical Data from Scien
R-Julia1.3.5-lp156.1.1Fractal Image Data Generator
R-just.install1.0.2-lp156.6.1Very Simple Function to Install Packages without Attaching
R-jvcoords1.0.3-lp156.1.1Principal Component Analysis (PCA) and Whitening
R-jvnVaR1.0-lp156.2.1Value at Risk
R-k50.2.1-lp156.2.1Kiernan Nicholls Miscellaneous
R-kader0.0.8-lp156.2.1Kernel Adaptive Density Estimation and Regression
R-kaigiroku0.5-lp156.7.1Programmatic Access to the API for Japanese Diet Proceedings
R-kangar001.4.2-lp156.2.1Kernel Approaches for Nonlinear Genetic Association Regressi
R-kaos0.1.2-lp156.15.1Encoding of Sequences Based on Frequency Matrix Chaos Game R
R-kaphom0.3-lp156.2.1Test the Homogeneity of Kappa Statistics
R-KappaGUI2.0.2-lp156.13.1An R-Shiny Application for Calculating Cohen\'s and Fleiss\'
R-kappalab0.4.12-lp156.1.1Non-Additive Measure and Integral Manipulation Functions
R-kappaSize1.2-lp156.2.1Sample Size Estimation Functions for Studies of Interobserve
R-KappaV0.3-lp156.2.1Calculates \"vectorial Kappa\", an index of congruence betwe
R-kaps1.0.2-lp156.2.1K-Adaptive Partitioning for Survival data
R-KaradaColor0.1.5-lp156.1.1Color Palettes Inspired by Japanese Landscape and Culture
R-karaoke2.0-lp156.1.1Remove Vocals from a Song
R-Karen1.0-lp156.9.1Kalman Reaction Networks
R-karlen0.0.2-lp156.2.1Real-Time PCR Data Sets by Karlen et al. (2007)
R-KbMvtSkew1.0.2-lp156.2.1Khattree-Bahuguna\'s Univariate and Multivariate Skewness
R-kcirt0.6.0-lp156.2.1k-Cube Thurstonian IRT Models
R-kcmeans0.1.0-lp156.1.1Conditional Expectation Function Estimation with K-Condition
R-Kcop1.0.0-lp156.2.1Smooth Test for Equality of Copulas and Clustering Multivari
R-kcopula0.1.0-lp156.2.1The Bivariate K-Copula
R-kdensity1.1.0-lp156.12.1Kernel Density Estimation with Parametric Starts and Asymmet
R-kdetrees0.1.5-lp156.9.1Nonparametric method for identifying discordant phylogenetic
R-kdist0.2-lp156.2.1K-Distribution and Weibull Paper
R-kdpee1.0.0-lp156.1.1Fast Multidimensional Entropy Estimation by k-d Partitioning
R-kedd1.0.4-lp156.1.1Kernel Estimator and Bandwidth Selection for Density and Its
R-keep1.0-lp156.2.1Arrays with Better Control over Dimension Dropping
R-Kendall2.2.1-lp156.1.1Kendall rank correlation and Mann-Kendall trend test
R-kendallRandomWalks0.9.4-lp156.17.1Simulate and Visualize Kendall Random Walks and Related Dist
R-KENDL1.1-lp156.2.1Kernel-Smoothed Nonparametric Methods for Environmental Expo
R-KEPTED0.2.0-lp156.2.1Kernel-Embedding-of-Probability Test for Elliptical Distribu
R-keras2.15.0-lp156.2.1R Interface to \'Keras\'
R-kerasR0.8.1-lp156.2.1R Interface to the Keras Deep Learning Library
R-kerDAA0.1.1-lp156.1.1New Kernel-Based Test for Differential Association Analysis
R-kerdiest1.2-lp156.2.1Nonparametric kernel estimation of the distribution function
R-KERE1.0.0-lp156.2.1Expectile Regression in Reproducing Kernel Hilbert Space
R-kerndwd2.0.3-lp156.2.1Distance Weighted Discrimination (DWD) and Kernel Methods
R-kernelFactory0.3.0-lp156.2.1Kernel Factory: An Ensemble of Kernel Machines
R-kernscr1.0.6-lp156.1.1Kernel Machine Score Test for Semi-Competing Risks
R-KernSmooth2.23.24-lp156.2.1Functions for Kernel Smoothing Supporting Wand & Jones (1995
R-kerTests0.1.4-lp156.1.1Generalized Kernel Two-Sample Tests
R-Keyboard0.1.3-lp156.1.1Bayesian Designs for Early Phase Clinical Trials
R-keyholder0.1.7-lp156.1.1Store Data About Rows
R-keyplayer1.0.4-lp156.2.1Locating Key Players in Social Networks
R-keypress1.3.1-lp156.1.1Wait for a Key Press in a Terminal
R-keyringr0.4.0-lp156.7.1Decrypt Passwords from Gnome Keyring, Windows Data Protectio
R-keys0.1.1-lp156.12.1Keyboard Shortcuts for \'shiny\'
R-keyToEnglish0.2.1-lp156.5.1Convert Data to Memorable Phrases
R-KFAS1.5.1-lp156.1.1Kalman Filter and Smoother for Exponential Family State Spac
R-kfda1.0.0-lp156.2.1Kernel Fisher Discriminant Analysis
R-kfino1.0.0-lp156.2.1Kalman Filter for Impulse Noised Outliers
R-KFPLS1.0-lp156.3.1Kernel Functional Partial Least Squares
R-kgc1.0.0.2-lp156.11.1Koeppen-Geiger Climatic Zones
R-kgen0.3.1-lp156.1.1A Tool for Calculating Stoichiometric Equilibrium Constants
R-KGode1.0.4-lp156.1.1Kernel Based Gradient Matching for Parameter Inference in Or
R-kgschart1.3.5-lp156.19.1KGS Rank Graph Parser
R-KHQ0.2.0-lp156.5.1Methods for Calculating \'KHQ\' Scores and \'KHQ5D\' Utility
R-kidney.epi1.2.0-lp156.2.1Kidney Functions: Clinical and Epidemiological
R-kidsides0.5.0-lp156.2.1Download, Cache, and Connect to KidSIDES
R-kimisc0.4-lp156.8.1Kirill\'s Miscellaneous Functions
R-kin.cohort0.7-lp156.2.1Analysis of Kin-Cohort Studies
R-kinematics1.0.0-lp156.1.1Studying Sampled Trajectories
R-kineticF1.0-lp156.2.1Framework for the Analysis of Kinetic Visual Field Data
R-KingCountyHouses0.1.0-lp156.1.1Data on House Sales in King County WA
R-KINSIMU0.1.2.2-lp156.1.1Panel Evaluation in Forensic Kinship Analysis
R-kirby21.base1.7.3-lp156.3.1Example Data from the Multi-Modal MRI \'Reproducibility\' Re
R-kirby21.fmri1.7.0-lp156.3.1Example Functional Imaging Data from the Multi-Modal MRI \'R
R-kirby21.t11.7.0-lp156.3.1Example T1 Structural Data from the Multi-Modal MRI \'Reprod
R-kisopenapi0.0.2-lp156.1.1Korea Investment & Securities (KIS) Open Trading API
R-kissmig1.0.4-lp156.3.1a Keep It Simple Species Migration Model
R-kknn1.3.1-lp156.7.1Weighted k-Nearest Neighbors
R-klaR1.7.3-lp156.4.1Classification and visualization
R-kldest1.0.0-lp156.2.1Sample-Based Estimation of Kullback-Leibler Divergence
R-kldtools1.2-lp156.1.1Kullback-Leibler Divergence and Other Tools to Analyze Frequ
R-klsh0.1.0-lp156.6.1Blocking for Record Linkage
R-km.ci0.5.6-lp156.1.1Confidence Intervals for the Kaplan-Meier Estimator
R-KMD0.1.0-lp156.7.1Kernel Measure of Multi-Sample Dissimilarity
R-KMDA1.0-lp156.2.1Kernel-Based Metabolite Differential Analysis
R-kmed0.4.2-lp156.4.1Distance-Based k-Medoids
R-kmi0.5.5-lp156.2.1Kaplan-Meier Multiple Imputation for the Analysis of Cumulat
R-kmlcov1.0.1-lp156.2.1Clustering longitudinal data using the likelihood as a metri
R-KMLtoSHAPE0.1.0-lp156.2.1Preserving Attribute Values: Converting KML to Shapefile
R-kmodR0.2.0-lp156.1.1K-Means with Simultaneous Outlier Detection
R-kmscv0.1.0-lp156.7.1K-Means Based Stratified Resampling
R-KMsurv0.1.5-lp156.2.1Data sets from Klein and Moeschberger (1997), Survival Analy
R-KnapsackSampling0.1.1-lp156.1.1Generate Feasible Samples of a Knapsack Problem
R-KneeArrower1.0.0-lp156.2.1Finds Cutoff Points on Knee Curves
R-knitcitations1.0.12-lp156.10.1Citations for \'Knitr\' Markdown Files
R-knnIndep2.0-lp156.2.1Independence tests and benchmarks
R-knnmi1.0-lp156.2.1k-Nearest Neighbor Mutual Information Estimator
R-knnp2.0.0-lp156.16.1Time Series Prediction using K-Nearest Neighbors Algorithm (
R-kNNvs0.1.0-lp156.1.1k Nearest Neighbors with Grid Search Variable Selection
R-knnwtsim1.0.0-lp156.1.1K Nearest Neighbor Forecasting with a Tailored Similarity Me
R-KnockoffScreen0.3.0-lp156.2.1Whole-Genome Sequencing Data Analysis via Knockoff Statistic
R-KnockoffTrio1.0.2-lp156.1.1Trio Data Analysis with Knockoff Statistics for FDR Control
R-Knoema0.1.19-lp156.1.1Interface to the Knoema API
R-knotR1.0.4-lp156.1.1Knot Diagrams using Bezier Curves
R-KnowBR2.2-lp156.1.1Discriminating Well Surveyed Spatial Units from Exhaustive B
R-KnowGRRF1.0-lp156.3.1Knowledge-Based Guided Regularized Random Forest
R-kntnr0.4.4-lp156.20.1R Client for \'kintone\' API
R-kofdata0.2.1-lp156.1.1Get Data from the \'KOF Datenservice\' API
R-kofnGA1.3-lp156.3.1A Genetic Algorithm for Fixed-Size Subset Selection
R-KOGMWU1.2-lp156.6.1Functional Summary and Meta-Analysis of Gene Expression Data
R-kolmim1.0-lp156.2.1An Improved Evaluation of Kolmogorov\'s Distribution
R-konya0.1.0-lp156.2.1R Wrapper for Konya Municipality Open Data Portal
R-KOR.addrlink1.0.1-lp156.2.1Matching Address Data to Reference Index
R-koRpus0.13.8-lp156.1.1Text Analysis with Emphasis on POS Tagging, Readability, and
R-koRpus.lang.en0.1.4-lp156.2.1Language Support for \'koRpus\' Package: English
R-kosis0.0.1-lp156.1.1Korean Statistical Information Service (KOSIS)
R-Kpart1.2.2-lp156.2.1Cubic Spline Fitting with Knot Selection
R-KPC0.1.2-lp156.3.1Kernel Partial Correlation Coefficient
R-kpeaks1.1.0-lp156.2.1Determination of K Using Peak Counts of Features for Cluster
R-kpmt0.1.0-lp156.2.1Known Population Median Test
R-kpodclustr1.1-lp156.2.1Method for Clustering Partially Observed Data
R-KraljicMatrix0.2.1-lp156.16.1A Quantified Implementation of the Kraljic Matrix
R-kriens0.1-lp156.2.1Continuation Passing Style Development
R-kriging1.2-lp156.1.1Ordinary Kriging
R-KrigInv1.4.2-lp156.2.1Kriging-Based Inversion for Deterministic and Noisy Computer
R-krippendorffsalpha2.0-lp156.1.1Measuring Agreement Using Krippendorff\'s Alpha Coefficient
R-KRLS1.0.0-lp156.2.1Kernel-Based Regularized Least Squares
R-krm2022.10.17-lp156.1.1Kernel Based Regression Models
R-KRMM1.0-lp156.2.1Kernel Ridge Mixed Model
R-kronos1.0.0-lp156.1.1Microbiome Oriented Circadian Rhythm Analysis Toolkit
R-KSA0.1.0-lp156.1.1Retained Component Criterion for Principal Component Analysi
R-kSamples1.2.10-lp156.1.1K-Sample Rank Tests and their Combinations
R-KScorrect1.4.0-lp156.2.1Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Test
R-KSD1.0.1-lp156.8.1Goodness-of-Fit Tests using Kernelized Stein Discrepancy
R-KSEAapp0.99.0-lp156.3.1Kinase-Substrate Enrichment Analysis
R-kselection0.2.1-lp156.1.1Selection of K in K-Means Clustering
R-ksharp0.1.0.1-lp156.2.1Cluster Sharpening
R-KSPM0.2.1-lp156.4.1Kernel Semi-Parametric Models
R-ksrlive1.0-lp156.4.1Identify Kinase Substrate Relationships Using Dynamic Data
R-kssa0.0.1-lp156.14.1Known Sub-Sequence Algorithm
R-kst0.5.4-lp156.1.1Knowledge Space Theory
R-kStatistics2.1.1-lp156.1.1Unbiased Estimators for Cumulant Products and Faa Di Bruno\'
R-kstIO0.4.0-lp156.3.1Knowledge Space Theory Input/Output
R-kstMatrix0.2.0-lp156.2.1Basic Functions in Knowledge Space Theory Using Matrix Repre
R-KTensorGraphs1.1-lp156.2.1Co-Tucker3 Analysis of Two Sequences of Matrices
R-ktsolve1.3.1-lp156.1.1Configurable Function for Solving Families of Nonlinear Equa
R-ktweedie1.0.3-lp156.1.1\'Tweedie\' Compound Poisson Model in the Reproducing Kernel
R-kubik0.3.0-lp156.1.1Cubic Hermite Splines and Related Root Finding Methods
R-kuiper.2samp1.0-lp156.2.1Two-Sample Kuiper Test
R-kulife0.1.14-lp156.2.1Datasets and functions from the (now non-existing) Faculty o
R-Kurt1.1-lp156.1.1Performs Kurtosis-Based Statistical Analyses
R-kutils1.73-lp156.2.1Project Management Tools
R-kwb.hantush0.3.0-lp156.9.1Calculation of Groundwater Mounding Beneath an Infiltration
R-kza4.1.0.1-lp156.2.1Kolmogorov-Zurbenko Adaptive Filters
R-kzfs1.5.0.2-lp156.2.1Multi-Scale Motions Separation with Kolmogorov-Zurbenko Peri
R-kzft0.17-lp156.2.1Kolmogorov-Zurbenko Fourier Transform and Applications
R-kzs1.4-lp156.2.1Kolmogorov-Zurbenko Spatial Smoothing and Applications
R-l1ball0.1.0-lp156.2.1L1-Ball Prior for Sparse Regression
R-l2boost1.0.3-lp156.1.1Exploring Friedman\'s Boosting Algorithm for Regularized Lin
R-L2DensityGoFtest0.6.0-lp156.1.1Density Goodness-of-Fit Test
R-L2hdchange1.0-lp156.1.1L2 Inference for Change Points in High-Dimensional Time Seri
R-labdsv2.1.0-lp156.1.1Ordination and Multivariate Analysis for Ecology
R-label.switching1.8-lp156.2.1Relabelling MCMC Outputs of Mixture Models
R-labeledLoop0.1-lp156.2.1Labeled Loop
R-labeling0.4.3-lp156.1.1Axis Labeling
R-labelled2.13.0-lp156.2.1Manipulating Labelled Data
R-labelmachine1.0.0-lp156.2.1Make Labeling of R Data Sets Easy
R-labelrank0.1-lp156.2.1Predicting Rankings of Labels
R-labelVector0.1.2-lp156.1.1Label Attributes for Atomic Vectors
R-labNorm1.0.1-lp156.2.1Normalize Laboratory Measurements by Age and Sex
R-labourR1.0.0-lp156.8.1Classify Multilingual Labour Market Free-Text to Standardize
R-labsimplex0.1.2-lp156.14.1Simplex Optimization Algorithms for Laboratory and Manufactu
R-labstatR1.0.13-lp156.1.1Libreria Del Laboratorio Di Statistica Con R
R-labstats1.0.1-lp156.2.1Data Sets for the Book \"Experimental Design for Laboratory
R-lacm0.1.1-lp156.2.1Latent Autoregressive Count Models
R-lacrmr1.0.5-lp156.13.1Connect to the \'Less Annoying CRM\' API
R-lactcurves1.1.0-lp156.1.1Lactation Curve Parameter Estimation
R-LAD0.1.0-lp156.2.1Derive Leaf Angle Distribution (LAD) from Measured Leaf Incl
R-LadR1.0.6-lp156.2.1Routines for Fit, Inference and Diagnostics in LAD Models
R-laeken0.5.3-lp156.1.1Estimation of Indicators on Social Exclusion and Poverty
R-laercio1.0.1-lp156.2.1Duncan test, Tukey test and Scott-Knott test.
R-lagged0.3.2-lp156.1.1Classes and Methods for Lagged Objects
R-LAGOSNE2.0.3-lp156.3.1Interface to the Lake Multi-Scaled Geospatial and Temporal D
R-laGP1.5.9-lp156.1.1Local Approximate Gaussian Process Regression
R-LagSequential0.1.1-lp156.2.1Lag-Sequential Categorical Data Analysis
R-LAIr0.3.0-lp156.1.1Converting NDVI to LAI of Field, Proximal and Satellite Data
R-LakeMetabolizer1.5.5-lp156.2.1Tools for the Analysis of Ecosystem Metabolism
R-lakemorpho1.3.2-lp156.2.1Lake Morphometry Metrics
R-laketemps0.5.1-lp156.15.1Lake Temperatures Collected by Situ and Satellite Methods fr
R-lakhesis0.0.1-lp156.1.1Consensus Seriation for Binary Data
R-lambda.r1.2.4-lp156.2.1Modeling data with functional programming
R-Lambda43.0-lp156.2.1Collection of Internal Consistency Reliability Coefficients.
R-lambdr1.2.5-lp156.1.1Create a Runtime for Serving Containerised R Functions on \'
R-lamme0.0.1-lp156.2.1Log-Analytic Methods for Multiplicative Effects
R-landest1.2-lp156.1.1Landmark Estimation of Survival and Treatment Effect
R-landform0.2-lp156.1.1Topographic Position Index-Based Landform Classification
R-landmix1.0-lp156.1.1Landmark Prediction for Mixture Data
R-landpred1.2-lp156.1.1Landmark Prediction of a Survival Outcome
R-landsat1.1.2-lp156.1.1Radiometric and Topographic Correction of Satellite Imagery
R-landsat80.1.10-lp156.2.1Landsat 8 Imagery Rescaled to Reflectance, Radiance and/or T
R-landscapetools0.5.0-lp156.15.1Landscape Utility Toolbox
R-languagelayeR1.2.4-lp156.4.1Access the \'languagelayer\' API
R-languageR1.5.0-lp156.2.1Analyzing Linguistic Data: A Practical Introduction to Stati
R-languageserversetup0.1.2-lp156.2.1Automated Setup and Auto Run for R Language Server
R-lans2r1.2.0-lp156.2.1Work with Look at NanoSIMS Data in R
R-LaplaceDeconv1.0.4-lp156.2.1Laplace Deconvolution with Noisy Discrete Non-Equally Spaced
R-LaplacesDemon16.1.6-lp156.1.1Complete Environment for Bayesian Inference
R-LARF1.4-lp156.2.1Local Average Response Functions for Instrumental Variable E
R-LARisk1.0.0-lp156.7.1Estimation of Lifetime Attributable Risk of Cancer from Radi
R-lars1.3-lp156.1.1Least Angle Regression, Lasso and Forward Stagewise
R-lass01.1.0-lp156.2.1Lasso-Zero for (High-Dimensional) Linear Regression
R-lassopv0.2.0-lp156.2.1Nonparametric P-Value Estimation for Predictors in Lasso
R-lassoshooting0.1.5.1.1-lp156.1.1L1 Regularized Regression (Lasso) Solver using the Cyclic Co
R-latdiag0.3-lp156.4.1Draws Diagrams Useful for Checking Latent Scales
R-latenetwork1.0.1-lp156.3.1Inference on LATEs under Network Interference of Unknown For
R-LATERmodel0.2.0-lp156.2.1Linear Approach to Threshold with Ergodic Rate for Reaction
R-latex2exp0.9.6-lp156.4.1Use LaTeX Expressions in Plots
R-latexdiffr0.2.0-lp156.1.1Diff TeX, \'rmarkdown\' or \'quarto\' Files Using the \'late
R-latexpdf0.1.8-lp156.1.1Convert Tables to PDF or PNG
R-latte0.2.1-lp156.23.1Interface to \'LattE\' and \'4ti2\'
R-lattice0.22.6-lp156.2.1Trellis Graphics for R
R-latticeDensity1.2.6-lp156.9.1Density Estimation and Nonparametric Regression on Irregular
R-LatticeDesign2.0.5-lp156.1.1Lattice-Based Space-Filling Designs
R-lava1.8.0-lp156.2.1Latent Variable Models
R-lavaan.survey1.1.3.1-lp156.6.1Complex Survey Structural Equation Modeling (SEM)
R-LAWBL1.5.0-lp156.1.1Latent (Variable) Analysis with Bayesian Learning
R-lawstat3.6-lp156.1.1Tools for Biostatistics, Public Policy, and Law
R-lay0.1.3-lp156.1.1Simple but Efficient Rowwise Jobs
R-layer0.0.1-lp156.5.1Tilts your Maps and Turns Them into Ggplot Objects
R-lazy1.2.18-lp156.1.1Lazy Learning for Local Regression
R-lazybar0.1.0-lp156.3.1Progress Bar with Remaining Time Forecast Method
R-lazyData1.1.0-lp156.2.1A LazyData Facility
R-lazyeval0.2.2-lp156.2.1Lazy (Non-Standard) Evaluation
R-lazysql0.1.3-lp156.3.1Lazy SQL Programming
R-LBC1.0-lp156.1.1Logistic Box Cox
R-lbiassurv1.1-lp156.3.1Length-biased correction to survival curve estimation.
R-lbm0.9.0.2-lp156.1.1Log Binomial Regression Model in Exact Method
R-lboxcox1.2-lp156.3.1Implementation of Logistic Box-Cox Regression
R-LBPG0.1.2-lp156.1.1The Length-Biased Power Garima Distribution
R-lbreg1.3-lp156.2.1Log-Binomial Regression with Constrained Optimization
R-LCA0.1.1-lp156.2.1Localised Co-Dependency Analysis
R-LCAvarsel1.1-lp156.7.1Variable Selection for Latent Class Analysis
R-lcc1.1.4-lp156.4.1Longitudinal Concordance Correlation
R-LCCR1.3-lp156.1.1Latent Class Capture-Recapture Models
R-lcda0.3.2-lp156.1.1Latent Class Discriminant Analysis
R-LCF1.7.0-lp156.2.1Linear Combination Fitting
R-LCFdata2.0-lp156.2.1Data sets for package ``LMERConvenienceFunctions\'\'
R-LCMCR0.4.14-lp156.1.1Bayesian Non-Parametric Latent-Class Capture-Recapture
R-lcmm2.1.0-lp156.1.1Extended Mixed Models Using Latent Classes and Latent Proces
R-lcpm0.1.1-lp156.3.1Ordinal Outcomes: Generalized Linear Models with the Log Lin
R-lcyanalysis1.0.4-lp156.3.1Stock Data Analysis Functions
R-lda1.5.2-lp156.2.1Collapsed Gibbs Sampling Methods for Topic Models
R-ldaPrototype0.3.1-lp156.8.1Prototype of Multiple Latent Dirichlet Allocation Runs
R-LDAvis0.3.2-lp156.3.1Interactive Visualization of Topic Models
R-ldbod0.1.2-lp156.3.1Local Density-Based Outlier Detection
R-ldbounds2.0.2-lp156.1.1Lan-DeMets Method for Group Sequential Boundaries
R-LDcorSV1.3.3-lp156.2.1Linkage Disequilibrium Corrected by the Structure and the Re
R-ldhmm0.6.1-lp156.2.1Hidden Markov Model for Financial Time-Series Based on Lambd
R-LDlinkR1.4.0-lp156.2.1Calculating Linkage Disequilibrium (LD) in Human Population
R-LDPD1.1.2-lp156.2.1Probability of Default Calibration
R-ldr1.3.3-lp156.2.1Methods for likelihood-based dimension reduction in regressi
R-LDRTools0.2.2-lp156.1.1Tools for Linear Dimension Reduction
R-LDtests1.0-lp156.2.1Exact tests for Linkage Disequilibrium and Hardy-Weinberg Eq
R-leabRa0.1.0-lp156.4.1The Artificial Neural Networks Algorithm Leabra
R-leaderCluster1.5-lp156.1.1Leader Clustering Algorithm
R-LeafArea0.1.8-lp156.2.1Rapid Digital Image Analysis of Leaf Area
R-leaflet.providers2.0.0-lp156.4.1Leaflet Providers
R-leafletR0.4.0-lp156.3.1Interactive Web-Maps Based on the Leaflet JavaScript Library
R-leafSTAR1.0-lp156.2.1Silhouette to Area Ratio of Tilted Surfaces
R-leakyIV0.0.1-lp156.2.1Leaky Instrumental Variables
R-leanpubr0.3.1-lp156.4.1\'Leanpub\' API Interface
R-LEANR1.4.9-lp156.7.1Finds \"Local Subnetworks\" Within an Interaction Network wh
R-LEAP0.2-lp156.2.1Constructing Gene Co-Expression Networks for Single-Cell RNA
R-LEAPFrOG1.0.7-lp156.2.1Likelihood Estimation of Admixture in Parents From Offspring
R-leaps3.2-lp156.1.1regression subset selection
R-LearnBayes2.15.1-lp156.2.1Functions for Learning Bayesian Inference
R-LearnClust1.1-lp156.2.1Learning Hierarchical Clustering Algorithms
R-LearnGeom1.5-lp156.2.1Learning Plane Geometry
R-learningr0.29.1-lp156.3.1Data and Functions to Accompany the Book \"Learning R\"
R-LearningRlab2.4-lp156.1.1Statistical Learning Functions
R-LearningStats0.1.0-lp156.15.1Elemental Descriptive and Inferential Statistics
R-learningtower1.0.1-lp156.1.1OECD PISA Datasets from 2000-2018 in an Easy-to-Use Format
R-learNN0.2.0-lp156.2.1Examples of Neural Networks
R-LearnPCA0.3.4-lp156.2.1Functions, Data Sets and Vignettes to Aid in Learning Princi
R-learnPopGen1.0.4-lp156.16.1Population Genetic Simulations & Numerical Analysis
R-learnrbook2.0.1-lp156.2.1Datasets and Code Examples from P. J. Aphalo\'s \"Learn R\"
R-LearnSL1.0.0-lp156.1.1Learn Supervised Classification Methods Through Examples and
R-leastcostpath1.8.7-lp156.4.1Modelling Pathways and Movement Potential Within a Landscape
R-ledger2.0.11-lp156.2.1Utilities for Importing Data from Plain Text Accounting File
R-leerSIECyL1.0.2-lp156.4.1Read Data from the SIE
R-legco0.1.4-lp156.7.1R Bindings for the Hong Kong Legislative Council API
R-legislatoR1.1.0-lp156.1.1Interface to the Comparative Legislators Database
R-lehdr1.1.3-lp156.2.1Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Fi
R-leiden0.4.3.1-lp156.2.1R Implementation of Leiden Clustering Algorithm
R-leiv2.0.7-lp156.3.1Bivariate Linear Errors-In-Variables Estimation
R-lemna1.0.1-lp156.1.1Lemna Ecotox Effect Model
R-lenght0.1.0-lp156.1.1Allow Misspellings of Length Function
R-lenses0.0.3-lp156.5.1Elegant Data Manipulation with Lenses
R-leontief0.3-lp156.1.1Input-Output Analysis
R-leptokurticMixture1.1-lp156.1.1Implements Parsimonious Finite Mixtures of Multivariate Elli
R-leri0.0.1-lp156.5.1Access Landscape Evaporative Response Index Raster Data
R-lero.lero0.2-lp156.2.1Generate \'Lero Lero\' Quotes
R-lest1.1.0-lp156.2.1Vectorised Nested if-else Statements Similar to CASE WHEN in
R-lestat1.9-lp156.2.1A Package for Learning Statistics
R-letsR5.0-lp156.1.1Data Handling and Analysis in Macroecology
R-lettervalue0.2.1-lp156.1.1Computing Letter Values
R-levitate0.2.0-lp156.1.1Fuzzy String Comparison
R-LexFindR1.1.0-lp156.1.1Find Related Items and Lexical Dimensions in a Lexicon
R-lexicon1.2.1-lp156.16.1Lexicons for Text Analysis
R-lexiconPT0.1.0-lp156.2.1Lexicons for Portuguese Text Analysis
R-LexisPlotR0.4.0-lp156.17.1Plot Lexis Diagrams for Demographic Purposes
R-lfactors1.0.4-lp156.2.1Factors with Levels
R-lfc0.2.3-lp156.1.1Log Fold Change Distribution Tools for Working with Ratios o
R-LFDR.MLE1.0.1-lp156.2.1Estimation of the Local False Discovery Rates by Type II Max
R-LFDR.MME1.0-lp156.2.1Estimating Local False Discovery Rates Using the Method of M
R-LFDREmpiricalBayes1.0-lp156.3.1Estimating Local False Discovery Rates Using Empirical Bayes
R-lfe3.0.0-lp156.2.1Linear Group Fixed Effects
R-lgarch0.6.2-lp156.2.1Simulation and Estimation of Log-GARCH Models
R-lgcp2.0-lp156.1.1Log-Gaussian Cox Process
R-lglasso0.1.0-lp156.1.1Longitudinal Graphical Lasso
R-lgr0.4.4-lp156.1.1A Fully Featured Logging Framework
R-lgrdata0.1.1-lp156.2.1Example Datasets for a Learning Guide to R
R-lgtdl1.1.5-lp156.2.1A Set of Methods for Longitudinal Data Objects
R-lhmixr0.1.0-lp156.2.1Fit Sex-Specific Life History Models with Missing Classifica
R-libbib1.6.4-lp156.4.1Various Utilities for Library Science/Assessment and Catalog
R-libcoin1.0.10-lp156.1.1Linear Test Statistics for Permutation Inference
R-libgeos3.11.1.2-lp156.1.1Open Source Geometry Engine (\'GEOS\') C API
R-LiblineaR.ACF1.94.2-lp156.2.1Linear Classification with Online Adaptation of Coordinate F
R-LibOPF2.6.2-lp156.1.1Design of Optimum-Path Forest Classifiers
R-libproj8.1.0.1-lp156.1.1Generic Coordinate Transformation Library (\'PROJ\') C API
R-librarian1.8.1-lp156.1.1Install, Update, Load Packages from CRAN, \'GitHub\', and \'
R-librarysnapshot0.1.2-lp156.2.1Library Snapshot for Packages and Dependencies in Use by Cur
R-libsoc0.7.3-lp156.1.1Read, Create and Write \'PharmML\' Standard Output (so) XML
R-LIC0.0.2-lp156.1.1The LIC Criterion for Optimal Subset Selection
R-LICORS0.2.0-lp156.4.1Light Cone Reconstruction of States - Predictive State Estim
R-lievens0.0.1-lp156.2.1Real-Time PCR Data Sets by Lievens et al. (2012)
R-lifecourse2.0-lp156.17.1Quantification of Lifecourse Fluidity
R-lifecycle1.0.4-lp156.1.1Manage the Life Cycle of your Package Functions
R-lifelogr0.1.0-lp156.21.1Life Logging
R-Lifertable0.0.1-lp156.2.1Life and Fertility Tables Specially for Insects
R-LifeTables1.0-lp156.2.1Two-Parameter HMD Model Life Table System
R-lift0.0.2-lp156.2.1Compute the Top Decile Lift and Plot the Lift Curve
R-liftLRD1.0.9-lp156.1.1Wavelet Lifting Estimators of the Hurst Exponent for Regular
R-LiftTest0.2.0-lp156.1.1A Bootstrap Proportion Test for Brand Lift Testing
R-lifx0.2.0-lp156.3.1Control \'LIFX\' Smart Light Bulbs
R-LightningR1.0.2-lp156.4.1Tools for Communication with Lightning-Viz Server
R-lightr1.7.1-lp156.2.1Read Spectrometric Data and Metadata
R-lightsout0.3.2-lp156.3.1Implementation of the \'Lights Out\' Puzzle Game
R-liGP1.0.1-lp156.2.1Locally Induced Gaussian Process Regression
R-LIHKGr0.1.0-lp156.11.1Scrape Text Data from LIHKG
R-likelihood1.9-lp156.1.1Methods for Maximum Likelihood Estimation
R-likelihoodAsy0.51-lp156.2.1Functions for Likelihood Asymptotics
R-likelihoodExplore0.1.0-lp156.3.1Likelihood Exploration
R-LIM1.4.7.1-lp156.1.1Linear Inverse Model Examples and Solution Methods
R-limexhub0.1.5-lp156.2.1Quantitative Trade Signals
R-limitplot1.2-lp156.2.1Jitter/CI Plot with Ordered Points Below the Limit of Detect
R-LimnoPalettes0.1.0-lp156.2.1A Limnology Themed Palette Generator
R-limonaid0.1.5-lp156.1.1Working with \'LimeSurvey\' Surveys and Responses
R-limorhyde1.0.1-lp156.1.1Differential Analysis of Rhythmic Transcriptome Data
R-limSolve1.5.7.1-lp156.1.1Solving Linear Inverse Models
R-lin.eval0.1.2-lp156.16.1Perform Polynomial Evaluation of Linearity
R-linbin0.1.3-lp156.1.1Binning and Plotting of Linearly Referenced Data
R-LinCal1.0.1-lp156.1.1Static Univariate Frequentist and Bayesian Linear Calibratio
R-LindenmayeR0.1.13-lp156.7.1Functions to Explore L-Systems (Lindenmayer Systems)
R-lindia0.10-lp156.1.1Automated Linear Regression Diagnostic
R-LindleyPowerSeries1.0.1-lp156.3.1Lindley Power Series Distribution
R-LindleyR1.1.0-lp156.3.1The Lindley Distribution and Its Modifications
R-linear.tools1.3.0-lp156.10.1Manipulate Formulas and Evaluate Marginal Effects
R-linearModel1.0.2-lp156.1.1Linear Model Functions
R-linearOrdering1.0.1-lp156.1.1Methods of Linear Ordering of Data
R-LinearRegressionMDE1.0-lp156.2.1Minimum Distance Estimation in Linear Regression Model
R-lineartestr1.0.0-lp156.20.1Linear Specification Testing
R-linelist1.1.4-lp156.1.1Tagging and Validating Epidemiological Data
R-linemap0.3.0-lp156.2.1Line Maps
R-linERR1.0-lp156.2.1Linear Excess Relative Risk Model
R-Linkage0.9-lp156.5.1Clustering Communication Networks Using the Stochastic Topic
R-LinkageMapView2.1.2-lp156.2.1Plot Linkage Group Maps with Quantitative Trait Loci
R-linkcomm1.0.14-lp156.6.1Tools for Generating, Visualizing, and Analysing Link Commun
R-LinkedGASP1.0-lp156.11.1Linked Emulator of a Coupled System of Simulators
R-linkedInadsR0.1.0-lp156.1.1Access to \'LinkedIn\' Ads via the \'Windsor.ai\' API
R-LinkedMatrix1.4.0-lp156.2.1Column-Linked and Row-Linked Matrices
R-linkim0.1-lp156.2.1Linkage information based genotype imputation method
R-linkprediction1.0.0-lp156.16.1Link Prediction Methods
R-linLIR1.1-lp156.2.1linear Likelihood-based Imprecise Regression
R-linne0.0.2-lp156.15.1Convenient \'CSS\'
R-linpk1.1.2-lp156.2.1Generate Concentration-Time Profiles from Linear PK Systems
R-linprog0.9.4-lp156.1.1Linear Programming / Optimization
R-LinRegInteractive0.3.3-lp156.1.1Interactive Interpretation of Linear Regression Models
R-LINselect1.1.5-lp156.1.1Selection of Linear Estimators
R-lintools0.1.7-lp156.1.1Manipulation of Linear Systems of (in)Equalities
R-lipidmapsR1.0.4-lp156.1.1Lipid Maps Rest Service
R-LipidMS3.0.5-lp156.2.1Lipid Annotation for LC-MS/MS DDA or DIA Data
R-LipidMSdata1.0.0-lp156.2.1\'LipidMS\' Data
R-liqueueR0.0.1-lp156.2.1Implements Queue, PriorityQueue and Stack Classes
R-liquidSVM1.2.4-lp156.2.1A Fast and Versatile SVM Package
R-lisa0.1.2-lp156.11.1Color Palettes from Color Lisa
R-lisp0.1-lp156.2.1List-processing à la SRFI-1
R-lisrelToR0.3-lp156.1.1Import Output from LISREL into R
R-listArray0.1.1-lp156.2.1Incomplete Array with Arbitrary R Objects as Indices
R-listarrays0.4.0-lp156.2.1A Toolbox for Working with R Arrays in a Functional Programm
R-listcomp0.4.1-lp156.2.1List Comprehensions
R-listcompr0.4.0-lp156.1.1List Comprehension for R
R-listenv0.9.1-lp156.1.1Environments Behaving (Almost) as Lists
R-LIStest2.1-lp156.2.1Tests of independence based on the Longest Increasing Subseq
R-listr0.1.0-lp156.3.1Tools for Lists
R-listWithDefaults1.2.0-lp156.2.1List with Defaults
R-liteq1.1.0-lp156.9.1Lightweight Portable Message Queue Using \'SQLite\'
R-litRiddle1.0.0-lp156.1.1Dataset and Tools to Research the Riddle of Literary Quality
R-litterfitter0.1.3-lp156.1.1Fit a Collection of Curves to Single Cohort Decomposition Da
R-liureg1.1.2-lp156.2.1Liu Regression with Liu Biasing Parameters and Statistics
R-live1.5.13-lp156.23.1Local Interpretable (Model-Agnostic) Visual Explanations
R-livechatR0.1.0-lp156.13.1R Wrapper for LiveChat REST API
R-ljr1.4.0-lp156.2.1Logistic Joinpoint Regression
R-lle1.1-lp156.2.1Locally linear embedding
R-lllcrc1.2-lp156.2.1Local Log-linear Models for Capture-Recapture
R-llogistic1.0.3-lp156.2.1The L-Logistic Distribution
R-LLSR0.0.3.1-lp156.15.1Data Analysis of Liquid-Liquid Systems using R
R-lm.beta1.7.2-lp156.1.1Add Standardized Regression Coefficients to Linear-Model-Obj
R-lmboot0.0.1-lp156.2.1Bootstrap in Linear Models
R-lmDiallel1.0.1-lp156.2.1Linear Fixed/Mixed Effects Models for Diallel Crosses
R-lmds0.1.0-lp156.17.1Landmark Multi-Dimensional Scaling
R-lmec1.0-lp156.2.1Linear Mixed-Effects Models with Censored Responses
R-lmeInfo0.3.2-lp156.1.1Information Matrices for \'lmeStruct\' and \'glsStruct\' Obj
R-lmeNB1.3-lp156.2.1Compute the Personalized Activity Index Based on a Negative
R-lmeNBBayes1.3.1-lp156.2.1Compute the Personalized Activity Index Based on a Flexible
R-lmeresampler0.2.4-lp156.7.1Bootstrap Methods for Nested Linear Mixed-Effects Models
R-lmeSplines1.1.12-lp156.1.1Add Smoothing Spline Modelling Capability to `nlme`
R-lmf1.2.1-lp156.1.1Functions for Estimation and Inference of Selection in Age-S
R-LMfilteR0.1.3.1-lp156.1.1Filter Methods for Parameter Estimation in Linear and Non Li
R-lmhelprs0.3.0-lp156.1.1Helper Functions for Linear Model Analysis
R-lmls0.1.0-lp156.1.1Gaussian Location-Scale Regression
R-lmm1.4-lp156.1.1Linear mixed models
R-lmmot0.1.4-lp156.3.1Multiple Ordinal Tobit (MOT) Model
R-lmmpar0.1.0-lp156.5.1Parallel Linear Mixed Model
R-LMMstar1.1.0-lp156.2.1Repeated Measurement Models for Discrete Times
R-lmodel21.7.3-lp156.2.1Model II Regression
R-lmomco2.5.1-lp156.2.1L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoment
R-lmomPi0.6.6-lp156.2.1(Precipitation) Frequency Analysis and Variability with L-Mo
R-lmPerm2.1.0-lp156.2.1Permutation Tests for Linear Models
R-lmreg1.2-lp156.2.1Data and Functions Used in Linear Models and Regression with
R-lmridge1.2.2-lp156.1.1Linear Ridge Regression with Ridge Penalty and Ridge Statist
R-lmSubsets0.5.2-lp156.1.1Exact Variable-Subset Selection in Linear Regression
R-lmtest0.9.40-lp156.1.1Testing Linear Regression Models
R-lmtestrob0.1-lp156.1.1Outlier Robust Specification Testing
R-lmvar1.5.2-lp156.3.1Linear Regression with Non-Constant Variances
R-lmw0.0.2-lp156.1.1Linear Model Weights
R-LN0SCIs0.1.5-lp156.2.1Simultaneous CIs for Ratios of Means of Log-Normal Populatio
R-lncDIFF1.0.0-lp156.2.1Long Non-Coding RNA Differential Expression Analysis
R-LncMod1.1-lp156.2.1Predicting Modulator and Functional/Survival Analysis
R-LncPath1.1-lp156.7.1Identifying the Pathways Regulated by LncRNA Sets of Interes
R-LNIRT0.5.1-lp156.1.1LogNormal Response Time Item Response Theory Models
R-LNPar0.1.0-lp156.1.1Estimation and Testing for a Lognormal-Pareto Mixture
R-loa0.2.45.4-lp156.2.1Lattice Options and Add-Ins
R-loadings0.5.1-lp156.2.1Loadings for Principal Component Analysis and Partial Least
R-loadr0.1.3-lp156.1.1Cleaner Workspaces with Shared Variable Environments
R-loadshaper1.1.1-lp156.1.1Producing Load Shape with Target Peak and Load Factor
R-LobsterCatch0.1.0-lp156.1.1Models the Capture Processes in American Lobster Trap Fisher
R-LocalControlStrategy1.4-lp156.1.1Local Control Strategy for Robust Analysis of Cross-Sectiona
R-localFDA1.0.0-lp156.2.1Localization Processes for Functional Data Analysis
R-localgauss0.41-lp156.7.1Estimating Local Gaussian Parameters
R-localICE0.1.1-lp156.13.1Local Individual Conditional Expectation
R-localsolver2.3-lp156.2.1R API to LocalSolver
R-locaR0.1.2-lp156.2.1A Set of Tools for Sound Localization
R-locateip0.1.2-lp156.3.1Locate IP Addresses with \'ip-api\'
R-locatexec0.1.1-lp156.1.1Detection and Localization of Executable Files
R-locationgamer0.1.0-lp156.2.1Identification of Location Game Equilibria in Networks
R-locfdr1.1.8-lp156.2.1Computes Local False Discovery Rates
R-LocFDRPois1.0.0-lp156.11.1Functions for Performing Local FDR Estimation when Null and
R-locits1.7.7-lp156.2.1Test of Stationarity and Localized Autocovariance
R-Lock5Data3.0.0-lp156.1.1Datasets for \"Statistics: UnLocking the Power of Data\"
R-Lock5withR1.2.2-lp156.2.1Datasets for \'Statistics: Unlocking the Power of Data\'
R-locpol0.8.0-lp156.2.1Kernel Local Polynomial Regression
R-LOCUS1.0-lp156.1.1Low-Rank Decomposition of Brain Connectivity Matrices with U
R-loder0.2.1-lp156.2.1Dependency-Free Access to PNG Image Files
R-lodi0.9.2-lp156.3.1Limit of Detection Imputation for Single-Pollutant Models
R-loe1.1-lp156.2.1Local Ordinal Embedding
R-loedata1.0.1-lp156.1.1Data Sets from \"Lectures on Econometrics\" by Chirok Han
R-loewesadditivity0.1.0-lp156.21.1Loewe\'s Additivity
R-log1.1.1-lp156.2.1Record Events and Issues
R-logcondens2.1.8-lp156.2.1Estimate a Log-Concave Probability Density from iid Observat
R-logcondens.mode1.0.1-lp156.5.1Compute MLE of Log-Concave Density on R with Fixed Mode, and
R-logger0.3.0-lp156.2.1A Lightweight, Modern and Flexible Logging Utility
R-logging0.10.108-lp156.2.1R Logging Package
R-loggit2.1.1-lp156.1.1Modern Logging for the R Ecosystem
R-logib0.1.2-lp156.10.1Salary Analysis by the Swiss Federal Office for Gender Equal
R-logiBin0.3-lp156.2.1Binning Variables to Use in Logistic Regression
R-LogicForest2.1.1-lp156.2.1Logic Forest
R-LOGICOIL0.99.0-lp156.2.1LOGICOIL: multi-state prediction of coiled-coil oligomeric s
R-LogicReg1.6.6-lp156.1.1Logic Regression
R-logihist1.0-lp156.14.1Combined Graphs for Logistic Regression
R-logistic4p1.6-lp156.1.1Logistic Regression with Misclassification in Dependent Vari
R-LogisticCurveFitting0.1.0-lp156.1.1Logistic Curve Fitting by Rhodes Method
R-logisticPCA0.2-lp156.14.1Binary Dimensionality Reduction
R-LogisticRCI1.1-lp156.1.1Linear and Logistic Regression-Based Reliable Change Index
R-logisticRR0.3.0-lp156.2.1Adjusted Relative Risk from Logistic Regression
R-logitFD1.0-lp156.8.1Functional Principal Components Logistic Regression
R-LogitNet0.1.1-lp156.2.1Infer network based on binary arrays using regularized logis
R-logitnorm0.8.39-lp156.1.1Functions for the Logitnormal Distribution
R-loglognorm1.0.2-lp156.1.1Double Log Normal Distribution Functions
R-logmult0.7.4-lp156.1.1Log-Multiplicative Models, Including Association Models
R-lognorm0.1.10-lp156.1.1Functions for the Lognormal Distribution
R-logNormReg0.5.0-lp156.1.1log Normal Linear Regression
R-logOfGamma0.0.1-lp156.2.1Natural Logarithms of the Gamma Function for Large Values
R-logr1.3.8-lp156.2.1Creates Log Files
R-LogrankA1.0-lp156.2.1Logrank Test for Aggregated Survival Data
R-LogRegEquiv0.1.5-lp156.1.1Logistic Regression Equivalence
R-logrx0.3.1-lp156.2.1A Logging Utility Focus on Clinical Trial Programming Workfl
R-logspline2.1.22-lp156.2.1Routines for Logspline Density Estimation
R-lolR2.1-lp156.14.1Linear Optimal Low-Rank Projection
R-long2lstmarray0.2.0-lp156.3.1Longitudinal Dataframes into Arrays for Machine Learning Tra
R-longCatEDA0.31-lp156.2.1Package for Plotting Categorical Longitudinal and Time-Serie
R-longclust1.5-lp156.1.1Model-Based Clustering and Classification for Longitudinal D
R-longitudinal1.1.13-lp156.1.1Analysis of Multiple Time Course Data
R-longitudinalANAL0.2-lp156.1.1Longitudinal Data Analysis
R-longitudinalcascade0.3.2.6-lp156.2.1Longitudinal Cascade
R-LongituRF0.9-lp156.7.1Random Forests for Longitudinal Data
R-longROC1.0-lp156.2.1Time-Dependent Prognostic Accuracy with Multiply Evaluated B
R-longurl0.3.3-lp156.2.1Expand Short \'URLs\'
R-lookout0.1.4-lp156.6.1Leave One Out Kernel Density Estimates for Outlier Detection
R-lookup1.0-lp156.1.1Functions Similar to VLOOKUP in Excel
R-lookupTable0.1-lp156.13.1Look-Up Tables using S4
R-loon.data0.1.3-lp156.1.1Data Used to Illustrate \'Loon\' Functionality
R-loop1.1-lp156.2.1loop decomposition of weighted directed graphs for life cycl
R-LoopAnalyst1.2.7-lp156.2.1A Collection of Tools to Conduct Levins\' Loop Analysis
R-loopr1.0.1-lp156.1.1Uses an Archive to Amend Previous Stages of a Pipe using Cur
R-loose.rock1.2.0-lp156.4.1Tools for Survival Analysis and Data Science
R-lorad0.0.1.0-lp156.1.1Lowest Radial Distance Method of Marginal Likelihood Estimat
R-lorec0.6.1-lp156.2.1LOw Rand and sparsE Covariance matrix estimation
R-lorentz1.1.1-lp156.2.1The Lorentz Transform in Relativistic Physics
R-LotkasLaw0.0.1.0-lp156.2.1Runs Lotka\'s Law which is One of the Special Applications o
R-LowRankQP1.0.6-lp156.1.1Low Rank Quadratic Programming
R-lpacf1.0.1-lp156.4.1Local Partial Autocorrelation Function Estimation for Locall
R-lpbrim1.0.0-lp156.2.1LP-BRIM Bipartite Modularity
R-lpc1.0.2.1-lp156.2.1Lassoed Principal Components for Testing Significance of Fea
R-lpda1.0.1-lp156.1.1Linear Programming Discriminant Analysis
R-LPDynR1.0.4-lp156.1.1Land Productivity Dynamics Indicator
R-lphom0.3.5.5-lp156.2.1Ecological Inference by Linear Programming under Homogeneity
R-lpint2.1-lp156.1.1Local Polynomial Estimators of the Intensity Function and It
R-lpjmlkit1.0.11-lp156.1.1Toolkit for Basic LPJmL Handling
R-lpl0.11-lp156.1.1Local Partial Likelihood Estimation and Simultaneous Confide
R-lplyr0.1.12-lp156.2.1\'dplyr\' Verbs for Lists and Other Verbs for Data Frames
R-LPM3.2-lp156.1.1Linear Parametric Models Applied to Hydrological Series
R-LPmerge1.7-lp156.2.1Merging Linkage Maps by Linear Programming
R-lpmodeler0.2.1-lp156.2.1Modeler for linear programs (LP) and mixed integer linear pr
R-LPower0.1.1-lp156.2.1Calculates Power, Sample Size, or Detectable Effect for Long
R-lpridge1.1.0-lp156.1.1Local Polynomial (Ridge) Regression
R-LPS1.0.16-lp156.1.1Linear Predictor Score, for Binary Inference from Multiple C
R-LPStimeSeries1.0.5-lp156.2.1Learned Pattern Similarity and Representation for Time Serie
R-LPTime1.0.2-lp156.2.1LP Nonparametric Approach to Non-Gaussian Non-Linear Time Se
R-LPWC1.0.0-lp156.2.1Lag Penalized Weighted Correlation for Time Series Clusterin
R-LqG0.1.0-lp156.1.1Robust Group Variable Screening Based on Maximum Lq-Likeliho
R-lqmm1.5.8-lp156.1.1Linear Quantile Mixed Models
R-LRcontrast1.0-lp156.4.1Dose Response Signal Detection under Model Uncertainty
R-LREP0.1.1-lp156.1.1Estimate and Test Exponential vs. Pareto Distributions
R-lrequire0.1.3-lp156.2.1Sources an R \"Module\" with Caching & Encapsulation, Return
R-lrgs0.5.4-lp156.2.1Linear Regression by Gibbs Sampling
R-LRMF30.1.0-lp156.1.1Low Rank Matrix Factorization S3 Objects
R-LRTH1.3-lp156.2.1A Likelihood Ratio Test Accounting for Genetic Heterogeneity
R-LS2W1.3.6-lp156.1.1Locally Stationary Two-Dimensional Wavelet Process Estimatio
R-lsa0.73.3-lp156.1.1Latent Semantic Analysis
R-lsasim2.1.5-lp156.2.1Functions to Facilitate the Simulation of Large Scale Assess
R-lsbs0.1-lp156.5.1Bandwidth Selection for Level Sets and HDR Estimation
R-LSC0.1.5-lp156.4.1Local Statistical Complexity - Automatic Pattern Discovery i
R-LSD4.1.0-lp156.2.1Lots of Superior Depictions
R-lsdbc0.1.0-lp156.2.1Locally Scaled Density Based Clustering
R-LSDirf0.1.3-lp156.2.1Impulse-Response Function Analysis for Agent-Based Models
R-lsdv1.1-lp156.2.1Least square dummy variable regression
R-LSE1.0.0-lp156.1.1Constrained Least Squares and Generalized QR Factorization
R-lsei1.3.0-lp156.2.1Solving Least Squares or Quadratic Programming Problems unde
R-lshorth0.1.6-lp156.2.1The Length of the Shorth
R-lsl0.5.6-lp156.17.1Latent Structure Learning
R-lsm0.2.1.4-lp156.1.1Estimation of the log Likelihood of the Saturated Model
R-lsmeans2.30.0-lp156.7.1Least-Squares Means
R-LSMonteCarlo1.0-lp156.2.1American options pricing with Least Squares Monte Carlo meth
R-LSMRealOptions0.2.1-lp156.1.1Value American and Real Options Through LSM Simulation
R-lspartition0.4-lp156.16.1Nonparametric Estimation and Inference Procedures using Part
R-LSPFP1.0.3-lp156.8.1Lysate and Secretome Peptide Feature Plotter
R-lspline1.0.0-lp156.2.1Linear Splines with Convenient Parametrisations
R-lspls0.2.2-lp156.2.1LS-PLS Models
R-lsplsGlm1.0-lp156.2.1Classification using LS-PLS for Logistic Regression
R-lsr0.5.2-lp156.1.1Companion to \"Learning Statistics with R\"
R-LSRS0.2.0-lp156.2.1Land Surface Remote Sensing
R-LST1.1.0-lp156.5.1Land Surface Temperature Retrieval for Landsat 8
R-LSTbook0.5.0-lp156.3.1Data and Software for \"Lessons in Statistical Thinking\"
R-LSVAR1.2-lp156.6.1Estimation of Low Rank Plus Sparse Structured Vector Auto-Re
R-LSWPlib0.1.0-lp156.2.1Simulation and Spectral Estimation of Locally Stationary Wav
R-LTAR0.1.0-lp156.3.1Tensor Forecasting Functions
R-ltbayes0.4-lp156.2.1Simulation-Based Bayesian Inference for Latent Traits of Ite
R-lterdatasampler0.1.1-lp156.1.1Educational Dataset Examples from the Long Term Ecological R
R-lterpalettefinder1.1.0-lp156.4.1Extract Color Palettes from Photos and Pick Official LTER Pa
R-ltmix0.2.2-lp156.1.1Left-Truncated Mixtures of Gamma, Weibull, and Lognormal Dis
R-ltmle1.3.0-lp156.1.1Longitudinal Targeted Maximum Likelihood Estimation
R-LTPDvar1.2.1-lp156.1.1LTPD and AOQL Plans for Acceptance Sampling Inspection by Va
R-LTRCforests0.7.0-lp156.3.1Ensemble Methods for Survival Data with Time-Varying Covaria
R-ltsbase1.0.1-lp156.2.1Ridge and Liu Estimates based on LTS (Least Trimmed Squares)
R-ltxsparklines1.1.3-lp156.1.1Lightweight Sparklines for a LaTeX Document
R-lubridate1.9.3-lp156.1.1Make dealing with dates a little easier
R-luca1.0.6-lp156.1.1Likelihood Inference from Case-Control Data under Covariate
R-lucid1.8-lp156.1.1Printing Floating Point Numbers in a Human-Friendly Format
R-lue0.2.1-lp156.5.1Light Use Efficiency Model to Estimate Biomass and YIELD wit
R-lumberjack1.3.1-lp156.1.1Track Changes in Data
R-lunar0.2.1-lp156.1.1Calculate Lunar Phase & Distance, Seasons and Related Enviro
R-luz0.4.0-lp156.4.1Higher Level \'API\' for \'torch\'
R-luzlogr0.2.1-lp156.1.1Lightweight Logging for R Scripts
R-LVGP2.1.5-lp156.3.1Latent Variable Gaussian Process Modeling with Qualitative a
R-lvmisc0.1.2-lp156.1.1Veras Miscellaneous
R-lvplot0.2.1-lp156.3.1Letter Value \'Boxplots\'
R-LW19491.1.0-lp156.2.1An Automated Approach to Evaluating Dose-Effect Experiments
R-lxb1.5-lp156.2.1Fast LXB File Reader
R-lymphclon1.3.0-lp156.2.1Accurate Estimation of Clonal Coincidences and Abundances fr
R-LZeroSpikeInference1.0.3-lp156.2.1Exact Spike Train Inference via L0 Optimization
R-M2SMF2.0-lp156.12.1Multi-Modal Similarity Matrix Factorization for Integrative
R-M2SMJF1.0-lp156.13.1Multi-Modal Similarity Matrix Joint Factorization
R-m50.1.1-lp156.5.1\'M5 Forecasting\' Challenges Data
R-m61r0.0.3-lp156.1.1Package About Data Manipulation in Pure Base R
R-maat1.1.0-lp156.5.1Multiple Administrations Adaptive Testing
R-maboost1.0.0-lp156.4.1Binary and Multiclass Boosting Algorithms
R-MAc1.1.1-lp156.2.1Meta-Analysis with Correlations
R-MACER0.2.1-lp156.3.1Molecular Acquisition, Cleaning, and Evaluation in R \'MACER
R-macleish0.3.9-lp156.11.1Retrieve Data from MacLeish Field Station
R-MAclinical1.0.5-lp156.5.1Class prediction based on microarray data and clinical param
R-maclogp0.1.1-lp156.1.1Measures of Uncertainty for Model Selection
R-macrocol0.1.0-lp156.8.1Colombian Macro-Financial Time Series Generator
R-macrosyntR0.3.3-lp156.2.1Draw Ordered Oxford Grids and Chord Diagrams
R-MacroZooBenthosWaterA0.1.0-lp156.1.1Fresh Water Quality Analysis Based on Macrozoobenthos
R-mactivate0.6.6-lp156.1.1Multiplicative Activation
R-MAd0.8.3-lp156.1.1Meta-Analysis with Mean Differences
R-mada0.5.11-lp156.2.1Meta-Analysis of Diagnostic Accuracy
R-maddison0.2-lp156.1.1The Maddison Project Database
R-madgrad0.1.0-lp156.6.1\'MADGRAD\' Method for Stochastic Optimization
R-maditr0.8.4-lp156.1.1Fast Data Aggregation, Modification, and Filtering with Pipe
R-madness0.2.8-lp156.1.1Automatic Differentiation of Multivariate Operations
R-madr1.0.0-lp156.2.1Model Averaged Double Robust Estimation
R-mads0.1.6-lp156.4.1Multi-Analysis Distance Sampling
R-madsim1.2.1-lp156.2.1A Flexible Microarray Data Simulation Model
R-magclass6.13.2-lp156.1.1Data Class and Tools for Handling Spatial-Temporal Data
R-magic1.6.1-lp156.1.1Create and Investigate Magic Squares
R-magicaxis2.4.5-lp156.1.1Pretty Scientific Plotting with Minor-Tick and Log Minor-Tic
R-magicfor0.1.0-lp156.2.1Magic Functions to Obtain Results from for Loops
R-magickGUI1.3.1-lp156.1.1GUI Tools for Interactive Image Processing with \'magick\'
R-magicLamp0.1.0-lp156.11.1\'WeMo Switch\' Smart Plug Utilities
R-magmaR1.0.3-lp156.1.1R-Client for Interacting with the \'UCSF Data Library\'
R-magree1.2-lp156.1.1Implements the O\'Connell-Dobson-Schouten Estimators of Agre
R-magrittr2.0.3-lp156.1.1A Forward-Pipe Operator for R
R-maicChecks0.1.2-lp156.9.1Assessing the Numerical Feasibility for Conducting a Matchin
R-mail1.0-lp156.2.1Sending Email Notifications from R
R-mailchimpR0.1.0-lp156.1.1Get Mailchimp Data via the \'Windsor.ai\' API
R-mailtoR0.1.0-lp156.8.1Creates a Friendly User Interface for Emails Sending in \'sh
R-majesticR0.1.1-lp156.2.1R Interface to Access the \'Majestic\' API
R-MajKMeans0.1.0-lp156.2.1k-Means Algorithm with a Majorization-Minimization Method
R-MajMinKmeans0.1.0-lp156.2.1k-Means Algorithm with a Majorization-Minimization Method
R-makedummies1.2.1-lp156.11.1Create Dummy Variables from Categorical Data
R-MakefileR1.0-lp156.2.1Create \'Makefiles\' Using R
R-makeFlow1.0.2-lp156.13.1Visualizing Sequential Classifications
R-makeit1.0.1-lp156.1.1Run R Scripts if Needed
R-makePalette0.1.2-lp156.1.1Make Palette
R-makeProject1.0-lp156.2.1Creates an empty package framework for the LCFD format
R-makeunique1.0.0-lp156.1.1Make Character Strings Unique
R-MakeYourPalette0.1.3-lp156.2.1Make Your Palette
R-MAKL1.0.1-lp156.1.1Multiple Approximate Kernel Learning (MAKL)
R-malani1.0-lp156.3.1Machine Learning Assisted Network Inference
R-malariaAtlas1.0.1-lp156.15.1An R Interface to Open-Access Malaria Data, Hosted by the \'
R-malaytextr0.1.3-lp156.3.1Text Mining for Bahasa Malaysia
R-MALDIquantForeign0.14.1-lp156.1.1Import/Export Routines for \'MALDIquant\'
R-MALDIrppa1.1.0.2-lp156.2.1MALDI Mass Spectrometry Data Robust Pre-Processing and Analy
R-malvinas0.1.0-lp156.1.1Islas Malvinas, Georgias Del Sur y Sándwich Del Sur
R-MAMSE0.2.1-lp156.2.1Calculation of Minimum Averaged Mean Squared Error (MAMSE) W
R-ManagedCloudProvider1.0.0-lp156.1.1Providing the Kubernetes-Like Functions for the Non-Kubernet
R-managelocalrepo0.1.5-lp156.7.1Manage a CRAN-Style Local Repository
R-MANCIE1.4-lp156.2.1Matrix Analysis and Normalization by Concordant Information
R-MandalaR0.1.0-lp156.2.1Building Mandalas from Parametric Equations of Classical Cur
R-mandelbrot0.2.0-lp156.7.1Generates Views on the Mandelbrot Set
R-mangoTraining1.1.1-lp156.6.1Mango Solutions Training Datasets
R-Mangrove1.21-lp156.2.1Risk Prediction on Trees
R-manhplot1.1-lp156.16.1The Manhattan++ Plot
R-manipulate1.0.1-lp156.2.1Interactive Plots for RStudio
R-ManlyMix0.1.15-lp156.1.1Manly Mixture Modeling and Model-Based Clustering
R-MAnorm21.2.2-lp156.3.1Tools for Normalizing and Comparing ChIP-seq Samples
R-MANOVA.RM0.5.4-lp156.1.1Resampling-Based Analysis of Multivariate Data and Repeated
R-manta1.0.1-lp156.1.1Multivariate Asymptotic Non-Parametric Test of Association
R-manydata0.9.3-lp156.2.1A Portal for Global Governance Data
R-ManyTests1.2-lp156.2.1Multiple Testing Procedures of Cox (2011) and Wong and Cox (
R-MaOEA0.6.2-lp156.12.1Many Objective Evolutionary Algorithm
R-MAP0.1.3-lp156.2.1Multimodal Automated Phenotyping
R-Map2NCBI1.4-lp156.3.1Mapping Markers to the Nearest Genomic Feature
R-mapaccuracy0.1.2-lp156.2.1Unbiased Thematic Map Accuracy and Area
R-mapcan0.0.1-lp156.16.1Tools for Plotting Canadian Choropleth Maps and Choropleth A
R-mapdata2.3.1-lp156.1.1Extra Map Databases
R-maplegend0.1.0-lp156.1.1Legends for Maps
R-MAPLES1.0-lp156.2.1Smoothed age profile estimation
R-mapmisc2.1.0-lp156.2.1Utilities for Producing Maps
R-mappings0.1-lp156.1.1Functions for Transforming Categorical Variables
R-mapplots1.5.2-lp156.1.1Data Visualisation on Maps
R-mappp1.0.0-lp156.7.1Map in Parallel with Progress
R-mapproj1.2.11-lp156.1.1Map Projections
R-maps3.4.2-lp156.1.1Draw Geographical Maps
R-mapsFinland0.2.2-lp156.1.1Maps of Finland
R-mapsPERU2.0.0-lp156.1.1Maps of Peru
R-mapsRinteractive2.0.1-lp156.1.1Local Adaptation and Evaluation of Raster Maps
R-maptiles0.7.0-lp156.1.1Download and Display Map Tiles
R-maptools1.1.8-lp156.1.1Tools for Handling Spatial Objects
R-maptpx1.9.7-lp156.2.1MAP Estimation of Topic Models
R-maptree1.4.8-lp156.1.1Mapping, pruning, and graphing tree models
R-mAr1.2.0-lp156.1.1Multivariate AutoRegressive Analysis
R-mar1s2.1.1-lp156.17.1Multiplicative AR(1) with Seasonal Processes
R-march3.3.2-lp156.3.1Markov Chains
R-marcher0.0.2-lp156.7.1Migration and Range Change Estimation in R
R-marelac2.1.11-lp156.1.1Tools for Aquatic Sciences
R-MareyMap1.3.7-lp156.1.1Estimation of Meiotic Recombination Rates Using Marey Maps
R-marg1.2.2.1-lp156.2.1Approximate Marginal Inference for Regression-Scale Models
R-marginalizedRisk2024.5.17-lp156.2.1Estimating Marginalized Risk
R-marginalRisk2021.1.7-lp156.1.1Estimating Marginal Risk
R-marima2.2-lp156.2.1Multivariate ARIMA and ARIMA-X Analysis
R-marindicators1.0.0-lp156.2.1Marine Ecosystem and Fishing Pressure Indicators
R-markdown1.13-lp156.1.1Render Markdown with \'commonmark\'
R-markdownInput0.1.2-lp156.15.1Shiny Module for a Markdown Input with Result Preview
R-marketr0.0.2-lp156.16.1Tidy Calculation of Marketing Metrics Plus Quick Analysis
R-Markovchart2.1.5-lp156.10.1Markov Chain-Based Cost-Optimal Control Charts
R-markovMSM0.1.3-lp156.1.1Methods for Checking the Markov Condition in Multi-State Sur
R-MarkowitzR1.0.3-lp156.1.1Statistical Significance of the Markowitz Portfolio
R-marl1.0-lp156.2.1Multivariate Analysis Based on Relative Likelihoods
R-marmap1.0.10-lp156.3.1Import, Plot and Analyze Bathymetric and Topographic Data
R-MARMoT0.0.4-lp156.2.1Matching on Poset-Based Average Rank for Multiple Treatments
R-marp0.1.0-lp156.1.1Model-Averaged Renewal Process
R-marqLevAlg2.0.8-lp156.1.1A Parallelized General-Purpose Optimization Based on Marquar
R-marradistrees1.0-lp156.1.1Plots a Tree-Like Representation of a Numerical Variable (Ma
R-MARSANNhybrid0.1.0-lp156.2.1MARS Based ANN Hybrid Model
R-MARSS3.11.9-lp156.1.1Multivariate Autoregressive State-Space Modeling
R-MARSSVRhybrid0.1.0-lp156.3.1MARS SVR Hybrid
R-MARVEL1.4.0-lp156.3.1Revealing Splicing Dynamics at Single-Cell Resolution
R-MARX0.2-lp156.2.1Simulation, Estimation, Model Selection and Forecasting for
R-maSAE2.0.3-lp156.1.1Mandallaz\' Model-Assisted Small Area Estimators
R-maskRangeR1.1-lp156.8.1Mask Species Geographic Ranges
R-mason0.3.0-lp156.16.1Build Data Structures for Common Statistical Analysis
R-masscor0.0.7.1-lp156.1.1Mass Measurement Corrections
R-MASSExtra1.2.2-lp156.1.1Some \'MASS\' Enhancements
R-Massign1.1.0-lp156.2.1Simple Matrix Construction
R-MASSTIMATE2.0.1-lp156.2.1Body Mass Estimation Equations for Vertebrates
R-MATA0.7.1-lp156.1.1Model-Averaged Tail Area (MATA) Confidence Interval and Dist
R-matahari0.1.3-lp156.13.1Spy on Your R Session
R-matchbook1.0.7-lp156.2.1Wrapper for the \'Matchbook\' API
R-matchFeat1.0-lp156.2.1One-to-One Feature Matching
R-MatchGATE0.0.10-lp156.2.1Estimate Group Average Treatment Effects with Matching
R-matchmaker0.1.1-lp156.11.1Flexible Dictionary-Based Cleaning
R-matchr0.1.0-lp156.2.1Pattern Matching and Enumerated Types in R
R-matconv0.4.2-lp156.1.1A Code Converter from the Matlab/Octave Language to R
R-mathjaxr1.6.0-lp156.1.1Using \'Mathjax\' in Rd Files
R-mathpix0.6.0-lp156.1.1Support for the \'Mathpix\' API (Image to \'LaTeX\')
R-matie1.2-lp156.6.1Measuring Association and Testing Independence Efficiently
R-matlab2r1.5.0-lp156.1.1Translation Layer from MATLAB to R
R-matlabr1.5.2-lp156.7.1An Interface for MATLAB using System Calls
R-MatManlyMix1.1.1-lp156.2.1Matrix Clustering with Gaussian and Manly Mixture Models
R-matpow0.1.2-lp156.1.1Matrix Powers
R-matR0.9.1-lp156.2.1Metagenomics Analysis Tools
R-Matrix.utils0.9.8-lp156.2.1Data.frame-Like Operations on Sparse and Dense Matrix Object
R-matrixcalc1.0.6-lp156.1.1Collection of functions for matrix calculations
R-matrixcut0.0.1-lp156.5.1Determines Clustering Threshold Based on Similarity Values
R-MatrixEQTL2.3-lp156.2.1Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix Opera
R-matrixLaplacian1.0-lp156.2.1Normalized Laplacian Matrix and Laplacian Map
R-MatrixMixtures1.0.0-lp156.1.1Model-Based Clustering via Matrix-Variate Mixture Models
R-matrixNormal0.1.1-lp156.1.1The Matrix Normal Distribution
R-matrixProfile0.5.0-lp156.1.1Matrix Profile
R-matrixsampling2.0.0-lp156.2.1Simulations of Matrix Variate Distributions
R-matrixStrucTest1.0.0-lp156.2.1Tests of Matrix Structure for Construct Validation
R-matrixTests0.2.3-lp156.1.1Fast Statistical Hypothesis Tests on Rows and Columns of Mat
R-MatSkew0.1.5-lp156.2.1Matrix Skew-T Parameter Estimation
R-MATTOOLS1.1-lp156.2.1Modern Calibration Functions for the Modern Analog Technique
R-MatTransMix0.1.16-lp156.1.1Clustering with Matrix Gaussian and Matrix Transformation Mi
R-matuR0.0.1.0-lp156.18.1Athlete Maturation and Biobanding
R-mau0.1.2-lp156.16.1Decision Models with Multi Attribute Utility Theory
R-MAVTgsa1.3-lp156.2.1Three methods to identify differentially expressed gene sets
R-MaXact0.2.1-lp156.3.1Exact max-type Cochran-Armitage trend test(CATT)
R-MaxentVariableSelection1.0.3-lp156.16.1Selecting the Best Set of Relevant Environmental Variables a
R-maximin1.0.5-lp156.2.1Space-Filling Design under Maximin Distance
R-maxLik1.5.2.1-lp156.2.1Maximum Likelihood Estimation and Related Tools
R-maxlike0.1.11-lp156.2.1Model Species Distributions by Estimating the Probability of
R-maxmatching0.1.0-lp156.7.1Maximum Matching for General Weighted Graph
R-MaxPro4.1.2-lp156.11.1Maximum Projection Designs
R-MaxSkew1.1-lp156.2.1Orthogonal Data Projections with Maximal Skewness
R-maxstat0.7.25-lp156.2.1Maximally Selected Rank Statistics
R-maybe1.1.0-lp156.1.1The Maybe Monad
R-mazealls0.2.0-lp156.2.1Generate Recursive Mazes
R-mazeGen0.1.3-lp156.7.1Elithorn Maze Generator
R-mazeinda0.0.2-lp156.1.1Monotonic Association on Zero-Inflated Data
R-mazing1.0.5-lp156.1.1Utilities for Making and Plotting Mazes
R-MB0.1.1-lp156.1.1The Use of Marginal Distributions in Conditional Forecasting
R-MBAnalysis2.0.2-lp156.1.1Multiblock Exploratory and Predictive Data Analysis
R-mbbe0.1.0-lp156.1.1Model Based Bio-Equivalence
R-MBC0.10.6-lp156.1.1Multivariate Bias Correction of Climate Model Outputs
R-MBCluster.Seq1.0-lp156.2.1Model-Based Clustering for RNA-seq Data
R-mbclusterwise1.0-lp156.10.1Clusterwise Multiblock Analyses
R-mbend1.3.1-lp156.2.1Matrix Bending
R-MBHdesign2.3.15-lp156.2.1Spatial Designs for Ecological and Environmental Surveys
R-MBI1.0-lp156.2.1(M)ultiple-site (B)iodiversity (I)ndices Calculator
R-mblm0.12.1-lp156.2.1Median-Based Linear Models
R-mbmixture0.4-lp156.1.1Microbiome Mixture Analysis
R-mboxr0.2.0-lp156.17.1Reading, Extracting, and Converting an Mbox File into a Tibb
R-mbrdr1.1.1-lp156.1.1Model-Based Response Dimension Reduction
R-mbreaks1.0.0-lp156.1.1Estimation and Inference for Structural Breaks in Linear Reg
R-mbRes0.1.7-lp156.2.1Exploration of Multiple Biomarker Responses using Effect Siz
R-mbrglm0.0.1-lp156.2.1Median Bias Reduction in Binomial-Response GLMs
R-MC2toPath0.0.16-lp156.1.1Translates information from netcdf files with MC2 output int
R-MCARtest1.0-lp156.6.1Optimal Nonparametric Testing of Missing Completely at Rando
R-MCBackscattering0.1.1-lp156.2.1Monte Carlo Simulation for Surface Backscattering
R-mcBFtest0.1.0-lp156.2.1Monte Carlo Based Tests for the Behrens Fisher Problem as an
R-mcbiopi1.1.6-lp156.2.1Matrix Computation Based Identification of Prime Implicants
R-mcc1.0-lp156.2.1Moment Corrected Correlation
R-mccf11.1-lp156.14.1Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric an
R-mcclust1.0.1-lp156.1.1Process an MCMC Sample of Clusterings
R-MCCM0.1.0-lp156.2.1Mixed Correlation Coefficient Matrix
R-mccmeiv2.1-lp156.2.1Analysis of Matched Case Control Data with a Mismeasured Exp
R-mccr0.4.4-lp156.2.1The Matthews Correlation Coefficient
R-MCDM1.2-lp156.2.1Multi-Criteria Decision Making Methods for Crisp Data
R-mcgibbsit1.2.2-lp156.1.1Warnes and Raftery\'s \'MCGibbsit\' MCMC Run Length and Conv
R-mcGlobaloptim0.1-lp156.2.1Global optimization using Monte Carlo and Quasi Monte Carlo
R-mcheatmaps1.0.0-lp156.2.1Multiple matrices heatmap visualization
R-MChtest1.0.3-lp156.2.1Monte Carlo hypothesis tests with Sequential Stopping
R-MCI1.3.3-lp156.2.1Multiplicative Competitive Interaction (MCI) Model
R-MCID0.1.0-lp156.1.1Estimating the Minimal Clinically Important Difference
R-MCL1.0-lp156.2.1Markov Cluster Algorithm
R-mclcar0.2.0-lp156.8.1Estimating Conditional Auto-Regressive (CAR) Models using Mo
R-mcll1.2-lp156.2.1Monte Carlo Local Likelihood Estimation
R-mclogit0.9.6-lp156.1.1Multinomial Logit Models, with or without Random Effects or
R-mclust6.1.1-lp156.2.1Gaussian Mixture Modelling for Model-Based Clustering, Class
R-mcmc0.9.8-lp156.1.1Markov Chain Monte Carlo
R-MCMC.OTU1.0.10-lp156.15.1Bayesian Analysis of Multivariate Counts Data in DNA Metabar
R-MCMC.qpcr1.2.4-lp156.15.1Bayesian Analysis of qRT-PCR Data
R-MCMC4Extremes1.1-lp156.2.1Posterior Distribution of Extreme Value Models in R
R-mcmcderive0.1.2-lp156.7.1Derive MCMC Parameters
R-mcmcensemble3.1.0-lp156.2.1Ensemble Sampler for Affine-Invariant MCMC
R-MCMCglmm2.36-lp156.2.1MCMC Generalised Linear Mixed Models
R-MCMChybridGP5.4-lp156.2.1Hybrid Markov Chain Monte Carlo using Gaussian Processes
R-mcmcOutput0.1.3-lp156.1.1Functions to Store, Manipulate and Display Markov Chain Mont
R-mcmcplots0.4.3-lp156.4.1Create Plots from MCMC Output
R-mcmcr0.6.1-lp156.6.1Manipulate MCMC Samples
R-Mcomp2.8-lp156.16.1Data from the M-Competitions
R-mcompanion0.6-lp156.1.1Objects and Methods for Multi-Companion Matrices
R-MConjoint0.1-lp156.2.1Conjoint Analysis through Averaging of Multiple Analyses
R-mcount1.0.0-lp156.1.1Marginalized Count Regression Models
R-mcparallelDo1.1.0-lp156.3.1A Simplified Interface for Running Commands on Parallel Proc
R-MCPMod1.0.10.1-lp156.2.1Design and Analysis of Dose-Finding Studies
R-MCPModBC1.1-lp156.1.1Improved Inference in Multiple Comparison Procedure – Mode
R-mcprofile1.0.1-lp156.7.1Testing Generalized Linear Hypotheses for Generalized Linear
R-MCPtests1.0.1-lp156.2.1Multiples Comparisons Procedures
R-mcr1.3.3-lp156.1.1Method Comparison Regression
R-mcreplicate0.1.2-lp156.1.1Multi-Core Replicate
R-MCS0.1.3-lp156.2.1Model Confidence Set Procedure
R-MCSim1.0-lp156.2.1Determine the Optimal Number of Clusters
R-mcsm1.0-lp156.2.1Functions for Monte Carlo Methods with R
R-mcStats0.1.2-lp156.17.1Visualize Results of Statistical Hypothesis Tests
R-mctest1.3.1-lp156.2.1Multicollinearity Diagnostic Measures
R-MCTM1.0-lp156.2.1Markov Chains Transition Matrices
R-mctq0.3.2-lp156.2.1Tools to Process the Munich ChronoType Questionnaire (MCTQ)
R-MCTrend1.0.1-lp156.2.1Monte Carlo Trend Analysis
R-mcwr1.0.0-lp156.1.1Markov Chains with Rewards
R-md1.0.4-lp156.2.1Selecting Bandwidth for Kernel Density Estimator with Minimu
R-md.log0.2.0-lp156.1.1Produces Markdown Log File with a Built-in Function Call
R-mda0.5.4-lp156.1.1Mixture and Flexible Discriminant Analysis
R-mdbr0.2.1-lp156.2.1Work with Microsoft Access Files
R-mddmaps1.3.0-lp156.2.1Download World Mammal Maps
R-mde0.3.2-lp156.7.1Missing Data Explorer
R-mded0.1.2-lp156.2.1Measuring the Difference Between Two Empirical Distributions
R-MDFS1.5.3-lp156.1.1MultiDimensional Feature Selection
R-mdftracks0.2.2-lp156.1.1Read and Write \'MTrackJ Data Files\'
R-mdhglm1.8-lp156.2.1Multivariate Double Hierarchical Generalized Linear Models
R-MDimNormn0.8.0-lp156.2.1Multi-Dimensional MA Normalization for Plate Effect
R-mdir.logrank0.0.4-lp156.2.1Multiple-Direction Logrank Test
R-MDOLS1.0-lp156.1.1Inference of Quadratic Functional for Moderate-Dimensional O
R-MDplot1.0.1-lp156.3.1Visualising Molecular Dynamics Analyses
R-MDPtoolbox4.0.3-lp156.2.1Markov Decision Processes Toolbox
R-mds0.3.2-lp156.12.1Medical Devices Surveillance
R-mdscore0.1.3-lp156.2.1Improved Score Tests for Generalized Linear Models
R-mdsdt1.2-lp156.4.1Functions for Analysis of Data with General Recognition Theo
R-MDSS1.0.1-lp156.1.1Modeling Human Dentin Serial Sectioning
R-mdthemes0.1.0-lp156.11.1Markdown Themes for \'ggplot2\'
R-meanr0.1.6-lp156.1.1Sentiment Analysis Scorer
R-meanShiftR0.56-lp156.1.1A Computationally Efficient Mean Shift Implementation
R-meantables0.1.2-lp156.8.1Make Quick Descriptive Tables for Continuous Variables
R-measurementProtocol0.1.1-lp156.1.1Send Data from R to the Measurement Protocol
R-measurements1.5.1-lp156.1.1Tools for Units of Measurement
R-measures0.3-lp156.1.1Performance Measures for Statistical Learning
R-measuRing0.5-lp156.2.1Detection and Control of Tree-Ring Widths on Scanned Image S
R-MED0.1.0-lp156.2.1Mediation by Tilted Balancing
R-MedDietCalc0.1.1-lp156.2.1Multi Calculator to Compute Scores of Adherence to Mediterra
R-mederrRank0.1.0-lp156.1.1Bayesian Methods for Identifying the Most Harmful Medication
R-medExtractR0.4.1-lp156.4.1Extraction of Medication Information from Clinical Text
R-mediacloudr0.1.0-lp156.12.1Wrapper for the \'mediacloud.org\' API
R-Mediana1.0.8-lp156.2.1Clinical Trial Simulations
R-mediateP0.2.0-lp156.1.1Mediation Analysis Based on the Product Method
R-medicaldata0.2.0-lp156.1.1Data Package for Medical Datasets
R-medicalrisk1.3-lp156.6.1Medical Risk and Comorbidity Tools for ICD-9-CM Data
R-medicare0.2.1-lp156.2.1Tools for Obtaining and Cleaning Medicare Public Use Files
R-meditate0.1.3-lp156.2.1Meditation Timer
R-meditations1.0.1-lp156.2.1Prints a Random Quote from Marcus Aurelius\' Book Meditation
R-MEDITS0.1.7-lp156.13.1Analysis of MEDITS-Like Survey Data
R-MedLEA1.0.2-lp156.1.1Morphological and Structural Features of Medicinal Leaves
R-medmod1.0.0-lp156.9.1Simple Mediation and Moderation Analysis
R-MedOr0.1-lp156.2.1Median Ordering Statistical R package
R-medparser0.1.0-lp156.2.1MedPC Text Parser
R-MedSurvey1.1.1.3.0-lp156.6.1Linear Mediation Analysis for Complex Surveys Using Balanced
R-meedr0.0.2-lp156.1.1Macroeconomic Expectations Data in R using the Central Bank
R-meerva0.2.2-lp156.9.1Analysis of Data with Measurement Error Using a Validation S
R-meetupapi0.1.0-lp156.15.1Access \'Meetup\' API
R-mefa3.2.9-lp156.2.1Multivariate Data Handling in Ecology and Biogeography
R-mefa40.3.11-lp156.2.1Multivariate Data Handling with S4 Classes and Sparse Matric
R-mefdind0.1-lp156.2.1Imports Data from MoE Spain
R-meifly0.3.1-lp156.2.1Interactive Model Exploration using \'GGobi\'
R-mekko0.1.0-lp156.14.1Variable Width Bar Charts: Bar Mekko
R-mem2.18-lp156.2.1The Moving Epidemic Method
R-memgene1.0.2-lp156.9.1Spatial Pattern Detection in Genetic Distance Data Using Mor
R-memify0.1.1-lp156.1.1Constructing Functions That Keep State
R-memo1.1.1-lp156.1.1In-Memory Caching of Repeated Computations (Memoization)
R-memochange1.1.1-lp156.16.1Testing for Structural Breaks under Long Memory and Testing
R-memofunc1.0.2-lp156.1.1Function Memoization
R-memoise2.0.1-lp156.2.1\'Memoisation\' of Functions
R-memuse4.2.3-lp156.1.1Memory Estimation Utilities
R-MEPDF3.0-lp156.3.1Creation of Empirical Density Functions Based on Multivariat
R-mergedblocks1.1.0-lp156.7.1Merged Block Randomization
R-mergingTools1.0.1-lp156.2.1Tools to Merge Hardware Event Monitors (HEMs) Coming from Se
R-merlin0.1.0-lp156.2.1Mixed Effects Regression for Linear, Non-Linear and User-Def
R-messaging0.1.0-lp156.16.1Conveniently Issue Messages, Warnings, and Errors
R-messydates0.4.1-lp156.2.1A Flexible Class for Messy Dates
R-Mestim0.2.1-lp156.2.1Computes the Variance-Covariance Matrix of Multidimensional
R-met0.1.0-lp156.2.1Evaluating and Improving Matched Samples in Observational St
R-meta.shrinkage0.1.4-lp156.1.1Meta-Analyses for Simultaneously Estimating Individual Means
R-meta4diag2.1.1-lp156.8.1Meta-Analysis for Diagnostic Test Studies
R-MetABEL0.2.0-lp156.2.1Meta-analysis of genome-wide SNP association results
R-metabias0.1.1-lp156.1.1Meta-Analysis for Within-Study and/or Across-Study Biases
R-metaBLUE1.0.0-lp156.2.1BLUE for Combining Location and Scale Information in a Meta-
R-metaboData0.6.3-lp156.11.1Example Metabolomics Data Sets
R-MetabolAnalyze1.3.1-lp156.3.1Probabilistic Latent Variable Models for Metabolomic Data
R-MetabolicSyndrome0.1.3-lp156.1.1Diagnosis of Metabolic Syndrome
R-metabolighteR0.1.3-lp156.5.1Interface to the \'Metabolights\' REST API
R-MetaboList2.0-lp156.13.1Annotation of Metabolites from Liquid Chromatography-Mass Sp
R-metabolomicsR1.0.0-lp156.7.1Tools for Metabolomics Data
R-MetaboLouise1.0.0-lp156.2.1METABOlomics LOngitudinal SimUlation Engine
R-MetaboQC1.1-lp156.2.1Normalize Metabolomic Data using QC Signal
R-metabup0.1.3-lp156.3.1Bayesian Meta-Analysis Using Basic Uncertain Pooling
R-metacom1.5.3-lp156.2.1Analysis of the \'Elements of Metacommunity Structure\'
R-MetaComp1.1.2-lp156.2.1EDGE Taxonomy Assignments Visualization
R-metaconfoundr0.1.2-lp156.5.1Visualize \'Confounder\' Control in Meta-Analyses
R-metacor1.0.2.1-lp156.2.1Meta-Analysis of Correlation Coefficients
R-metacore0.1.3-lp156.2.1A Centralized Metadata Object Focus on Clinical Trial Data P
R-MetaCycle1.2.0-lp156.2.1Evaluate Periodicity in Large Scale Data
R-metadat1.2.0-lp156.1.1Meta-Analysis Datasets
R-metaDigitise1.0.1-lp156.3.1Extract and Summarise Data from Published Figures
R-metafor4.6.0-lp156.2.1Meta-Analysis Package for R
R-metagam0.4.0-lp156.1.1Meta-Analysis of Generalized Additive Models
R-metagear0.7-lp156.8.1Comprehensive Research Synthesis Tools for Systematic Review
R-metaggR0.3.0-lp156.1.1Calculate the Knowledge-Weighted Estimate
R-metaheuristicOpt2.0.0-lp156.2.1Metaheuristic for Optimization
R-metaLik0.43.0-lp156.2.1Likelihood Inference in Meta-Analysis and Meta-Regression Mo
R-metalite.ae0.1.2-lp156.2.1Adverse Events Analysis Using \'metalite\'
R-MetAlyzer0.1.0-lp156.11.1Read and Analyze \'MetIDQ™\' Software Output Files
R-metamer0.3.0-lp156.4.1Create Data with Identical Statistics
R-MetaNet0.1.2-lp156.2.1Network Analysis for Omics Data
R-MetaPCA0.1.4-lp156.1.1MetaPCA: Meta-analysis in the Dimension Reduction of Genomic
R-metaplot0.8.4-lp156.1.1Data-Driven Plot Design
R-metaplotr0.0.3-lp156.9.1Creates CrossHairs Plots for Meta-Analyses
R-metapost1.0.6-lp156.2.1Interface to \'MetaPost\'
R-metaRNASeq1.0.7-lp156.1.1Meta-Analysis of RNA-Seq Data
R-metaSDTreg0.2.2-lp156.1.1Regression Models for Meta Signal Detection Theory
R-MetaSubtract1.60-lp156.2.1Subtracting Summary Statistics of One or more Cohorts from M
R-metaSurvival0.1.0-lp156.2.1Meta-Analysis of a Single Survival Curve
R-metatest1.0.5-lp156.2.1Fit and Test Metaregression Models
R-MetaUtility2.1.2-lp156.11.1Utility Functions for Conducting and Interpreting Meta-Analy
R-metavcov2.1.5-lp156.1.1Computing Variances and Covariances, Visualization and Missi
R-metawho0.2.0-lp156.20.1Meta-Analytical Implementation to Identify Who Benefits Most
R-MetBrewer0.2.0-lp156.6.1Color Palettes Inspired by Works at the Metropolitan Museum
R-meteo0.1.5-lp156.4.1Spatio-Temporal Analysis and Mapping of Meteorological Obser
R-meteoEVT0.1.0-lp156.3.1Computation and Visualization of Energetic and Vortical Atmo
R-meteoForecast0.56-lp156.2.1Numerical Weather Predictions
R-meteogRam1.0-lp156.9.1Tools for plotting meteograms
R-meteR1.2-lp156.3.1Fitting and Plotting Tools for the Maximum Entropy Theory of
R-MEtest1.1-lp156.2.1A Homogeneity Test under the Presence of Measurement Errors
R-MetFns3.2.2-lp156.3.1Analysis of Visual Meteor Data
R-Meth27QC1.1-lp156.3.1Meth27QC: sample quality analysis, and sample control analys
R-methcon50.1.0-lp156.14.1Identify and Rank CpG DNA Methylation Conservation Along the
R-Methplot1.0-lp156.9.1Visualize the methylation patterns
R-MetNorm0.1-lp156.2.1Statistical Methods for Normalizing Metabolomics Data
R-MeTo0.1.1-lp156.4.1Meteorological Tools
R-metools1.0.0-lp156.18.1Macroeconomics Tools
R-MetProc1.0.1-lp156.3.1Separate Metabolites into Likely Measurement Artifacts and T
R-metricminer0.5.1-lp156.3.1Mine Metrics from Common Places on the Web
R-Metrics0.1.4-lp156.2.1Evaluation Metrics for Machine Learning
R-MetricsWeighted1.0.3-lp156.1.1Weighted Metrics and Performance Measures for Machine Learni
R-metrix1.1.0-lp156.4.1Water Quality Metrics Calculator
R-metro0.9.3-lp156.2.1Washington Metropolitan Area Transit Authority API
R-metRology0.9.28.1-lp156.2.1Support for Metrological Applications
R-metropolis0.1.8-lp156.2.1The Metropolis algorithm
R-metsyn0.1.2-lp156.14.1Interface with the Meteo France Synop Data API
R-mewAvg0.3.1-lp156.1.1A Fixed Memeory Moving Expanding Window Average
R-MexBrewer0.0.2-lp156.1.1Color Palettes Inspired by Works of Mexican Painters and Mur
R-mexicolors0.2.0-lp156.1.1Mexican Politics-Inspired Color Palette Generator
R-MF4.3.2-lp156.2.1Mitigated Fraction
R-mfaces0.1.4-lp156.1.1Fast Covariance Estimation for Multivariate Sparse Functiona
R-MFDFA1.1-lp156.2.1MultiFractal Detrended Fluctuation Analysis
R-mFDP0.1.0-lp156.1.1Flexible Control of the mFDP
R-mfe0.1.5-lp156.4.1Meta-Feature Extractor
R-mFilter0.1.5-lp156.2.1Miscellaneous time series filters
R-mFLICA0.1.6-lp156.1.1Leadership-Inference Framework for Multivariate Time Series
R-MFO0.1.0-lp156.11.1Maximal Fat Oxidation and Kinetics Calculation
R-mfp1.5.4.1-lp156.2.1Multivariable Fractional Polynomials
R-mfp21.0.0-lp156.1.1Multivariable Fractional Polynomial Models with Extensions
R-MFPCA1.3.10-lp156.5.1Multivariate Functional Principal Component Analysis for Dat
R-MFSIS0.2.1-lp156.2.1Model-Free Sure Independent Screening Procedures
R-MFT2.0-lp156.2.1The Multiple Filter Test for Change Point Detection
R-MfUSampler1.1.0-lp156.2.1Multivariate-from-Univariate (MfU) MCMC Sampler
R-mfx1.2.2-lp156.2.1Marginal Effects, Odds Ratios and Incidence Rate Ratios for
R-MG1StationaryProbability0.1.2-lp156.1.1Computes Stationary Distribution for M/G/1 Queuing System
R-mgarchBEKK0.0.5-lp156.4.1Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR)
R-MGBT1.0.7-lp156.1.1Multiple Grubbs-Beck Low-Outlier Test
R-mgc2.0.2-lp156.7.1Multiscale Graph Correlation
R-mgcv1.9.1-lp156.1.1Mixed GAM Computation Vehicle with Automatic Smoothness Esti
R-MGDrivE22.1.0-lp156.1.1Mosquito Gene Drive Explorer 2
R-mgee20.5-lp156.1.1Marginal Analysis of Misclassified Longitudinal Ordinal Data
R-MGL1.1-lp156.2.1Module Graphical Lasso
R-mglasso0.1.2-lp156.5.1Multiscale Graphical Lasso
R-MGLM0.2.1-lp156.1.1Multivariate Response Generalized Linear Models
R-MGMS21.0.2-lp156.3.1\'MGMS2\' for Polymicrobial Samples
R-mgpd1.99-lp156.4.1mgpd: Functions for multivariate generalized Pareto distribu
R-MGPSDK1.0.0-lp156.1.1Interact with the Maxar \'MGP\' Application Programming Inte
R-mgpStreamingSDK0.2.0-lp156.1.1Interact with the Maxar MGP Streaming API
R-MGRASTer0.9-lp156.2.1API Client for the MG-RAST Server of the US DOE KBase
R-MGSDA1.6.1-lp156.1.1Multi-Group Sparse Discriminant Analysis
R-mgsub1.7.3-lp156.1.1Safe, Multiple, Simultaneous String Substitution
R-mgwnbr0.2.0-lp156.2.1Multiscale Geographically Weighted Negative Binomial Regress
R-MHadaptive1.1.8-lp156.2.1General Markov Chain Monte Carlo for Bayesian Inference usin
R-mhcnuggetsr1.1-lp156.16.1Call MHCnuggets
R-MHCtools1.5.3-lp156.2.1Analysis of MHC Data in Non-Model Species
R-mHG1.1-lp156.2.1Minimum-Hypergeometric Test
R-mhsmm0.4.21-lp156.1.1Inference for Hidden Markov and Semi-Markov Models
R-mhtboot1.3.3-lp156.16.1Multiple Hypothesis Test Based on Distribution of p Values
R-MHTdiscrete1.0.1-lp156.2.1Multiple Hypotheses Testing for Discrete Data
R-MHTmult0.1.0-lp156.2.1Multiple Hypotheses Testing for Multiple Families/Groups Str
R-MHTrajectoryR1.0.1-lp156.2.1Bayesian Model Selection in Logistic Regression for the Dete
R-mhurdle1.3.1-lp156.1.1Multiple Hurdle Tobit Models
R-MIAmaxent1.2.0-lp156.17.1A Modular, Integrated Approach to Maximum Entropy Distributi
R-micar1.1.2-lp156.1.1\'Mica\' Data Web Portal Client
R-micEcon0.6.16-lp156.4.1Microeconomic Analysis and Modelling
R-micEconIndex0.1.8-lp156.1.1Price and Quantity Indices
R-michelRodange1.0.0-lp156.2.1The Works (in Luxembourguish) of Michel Rodange
R-micompr1.1.4-lp156.1.1Multivariate Independent Comparison of Observations
R-miCoPTCM1.1-lp156.2.1Promotion Time Cure Model with Mis-Measured Covariates
R-microbats0.1.1-lp156.2.1An implementation of Bat Algorithm in R
R-microcontax1.2-lp156.16.1The ConTax Data Package
R-microdatasus2.3.1-lp156.1.1Download and Process \'DataSUS\' Files
R-MicroDatosEs0.8.15-lp156.1.1Utilities for Official Spanish Microdata
R-microdemic0.6.0-lp156.9.1\'Microsoft Academic\' API Client
R-MicroMacroMultilevel0.4.0-lp156.2.1Micro-Macro Multilevel Modeling
R-micromapST1.1.3-lp156.1.1Linked Micromap Plots for U. S. and Other Geographic Areas
R-MicroMoB0.1.2-lp156.1.1Discrete Time Simulation of Mosquito-Borne Pathogen Transmis
R-micromodal1.0.0-lp156.4.1Create Simple and Elegant Modal Dialogs in \'shiny\'
R-MicroNiche1.0.0-lp156.15.1Microbial Niche Measurements
R-micronutr0.1.1-lp156.2.1Determining Vitamin and Mineral Status of Populations
R-micropan2.1-lp156.16.1Microbial Pan-Genome Analysis
R-microservices0.2.0-lp156.4.1Breakdown a Monolithic Application to a Suite of Services
R-Microsoft365R2.4.0-lp156.1.1Interface to the \'Microsoft 365\' Suite of Cloud Services
R-microSTASIS0.1.0-lp156.6.1Microbiota STability ASsessment via Iterative cluStering
R-microsynth2.0.44-lp156.3.1Synthetic Control Methods with Micro- And Meso-Level Data
R-MicSim2.0.1-lp156.1.1Performing Continuous-Time Microsimulation
R-MICsplines1.0-lp156.1.1The Computing of Monotonic Spline Bases and Constrained Leas
R-midas1.0.1-lp156.14.1Turn HTML \'Shiny\'
R-midasml0.1.10-lp156.4.1Estimation and Prediction Methods for High-Dimensional Mixed
R-midastouch1.3-lp156.2.1Multiple Imputation by Distance Aided Donor Selection
R-midfieldr1.0.2-lp156.2.1Tools and Methods for Working with MIDFIELD Data in \'R\'
R-MIDN1.0-lp156.2.1Nearly Exact Sample Size Calculation for Exact Powerful Nonr
R-midrangeMCP3.1.1-lp156.2.1Multiples Comparisons Procedures Based on Studentized Midran
R-migest2.0.4-lp156.2.1Methods for the Indirect Estimation of Bilateral Migration
R-migration.indices0.3.1-lp156.1.1Migration Indices
R-MigrationDetectR0.1.1-lp156.2.1Segment-Based Migration Detection Algorithm
R-MIICD2.4-lp156.8.1Multiple Imputation for Interval Censored Data
R-MILC1.0-lp156.2.1MIcrosimulation Lung Cancer (MILC) model
R-mildsvm0.4.0-lp156.8.1Multiple-Instance Learning with Support Vector Machines
R-mime0.12-lp156.1.1Map filenames to MIME types
R-mimiSBM0.0.1.3-lp156.1.1Mixture of Multilayer Integrator Stochastic Block Models
R-MImix1.0-lp156.2.1Mixture summary method for multiple imputation
R-minb0.1.0-lp156.1.1Multiple-Inflated Negative Binomial Model
R-mindicador0.1.5-lp156.1.1Indicadores Economicos de Chile (Economic Outlook for Chile)
R-MindOnStats0.11-lp156.2.1Data sets included in Utts and Heckard\'s Mind on Statistics
R-mineCitrus1.0.0-lp156.14.1Extract and Analyze Median Molecule Intensity from \'citrus\
R-MinEDfind0.1.3-lp156.1.1A Bayesian Design for Minimum Effective Dosing-Finding Trial
R-Miney0.1-lp156.2.1Implementation of the Well-Known Game to Clear Bombs from a
R-miniCRAN0.3.0-lp156.2.1Create a Mini Version of CRAN Containing Only Selected Packa
R-miniGUI0.8.1-lp156.2.1Tcl/Tk Quick and Simple Function GUI
R-minimalRSD1.0.0-lp156.2.1Minimally Changed CCD and BBD
R-minimap0.1.0-lp156.2.1Create Tile Grid Maps
R-minimax1.1.1-lp156.1.1The Minimax Distribution Family
R-minimaxApprox0.4.3-lp156.1.1Implementation of Remez Algorithm for Polynomial and Rationa
R-minioclient0.0.6-lp156.1.1Interface to the \'MinIO\' Client
R-Minirand0.1.3-lp156.2.1Minimization Randomization
R-miniUI0.1.1.1-lp156.15.1Shiny UI Widgets for Small Screens
R-minpack.lm1.2.4-lp156.1.1R Interface to the Levenberg-Marquardt Nonlinear Least-Squar
R-minque2.0.0-lp156.2.1Various Linear Mixed Model Analyses
R-minsample10.1.0-lp156.1.1The Minimum Sample Size
R-minsample20.1.0-lp156.1.1The Minimum Sample Size
R-MInt1.0.1-lp156.8.1Learn Direct Interaction Networks
R-MINTplates1.0.1-lp156.1.1Encode \"License-Plates\" from Sequences and Decode Them Bac
R-minval0.8.2-lp156.1.1MINimal VALidation for Stoichiometric Reactions
R-minxent0.01-lp156.2.1Entropy Optimization Distributions
R-mipfp3.2.1-lp156.2.1Multidimensional Iterative Proportional Fitting and Alternat
R-miRada1.13.8.8-lp156.2.1MicroRNA Microarray Data Analysis
R-mirai.promises0.5.0-lp156.2.1Make \'Mirai\' \'Promises\'
R-MiRAnorm1.0.0-lp156.7.1Adaptive Normalization for miRNA Data
R-miRecSurv1.0.2-lp156.5.1Left-Censored Recurrent Events Survival Models
R-MiRNAQCD1.1.2-lp156.7.1Micro-RNA Quality Control and Diagnosis
R-MiRSEA1.1.1-lp156.1.1\'MicroRNA\' Set Enrichment Analysis
R-mirtsvd1.0-lp156.3.1SVD-Based Estimation for Exploratory Item Factor Analysis
R-misaem1.0.1-lp156.1.1Linear Regression and Logistic Regression with Missing Covar
R-misc3d0.9.1-lp156.1.1Miscellaneous 3D Plots
R-miscIC0.1.0-lp156.2.1Misclassified Interval Censored Time-to-Event Data
R-miscor0.1.1-lp156.2.1Miscellaneous Functions for the Correlation Coefficient
R-miscTools0.6.28-lp156.1.1Miscellaneous Tools and Utilities
R-mise0.1.0-lp156.2.1Clears the Workspace (Mise en Place)
R-miselect0.9.2-lp156.2.1Variable Selection for Multiply Imputed Data
R-misha4.2.9-lp156.1.1Toolkit for Analysis of Genomic Data
R-mispr1.0.0-lp156.4.1Multiple Imputation with Sequential Penalized Regression
R-misPRIME0.1.0-lp156.1.1Partial Replacement Imputation Estimation for Missing Covari
R-misreport0.1.1-lp156.2.1Statistical Analysis of Misreporting on Sensitive Survey Que
R-missCforest0.0.8-lp156.1.1Ensemble Conditional Trees for Missing Data Imputation
R-missDiag1.0.1-lp156.7.1Comparing Observed and Imputed Values under MAR and MCAR
R-missForest1.5-lp156.1.1Nonparametric Missing Value Imputation using Random Forest
R-MissingHandle0.1.1-lp156.4.1Handles Missing Dates and Data and Converts into Weekly and
R-MissingPlotLSD0.1.0-lp156.1.1Missing Plot in LSD
R-MissingPlotRBD1.1.0-lp156.1.1Missing Plot in RBD
R-MissMech1.0.4-lp156.2.1Testing Homoscedasticity, Multivariate Normality, and Missin
R-missMethods0.4.0-lp156.1.1Methods for Missing Data
R-Missplot0.1.0-lp156.1.1Missing Plot Technique in Design of Experiment
R-MiST1.0-lp156.2.1Mixed effects Score Test for continuous outcomes
R-mistat2.0.4-lp156.1.1Data Sets, Functions and Examples from the Book: \"Modern In
R-mistr0.0.5-lp156.1.1Mixture and Composite Distributions
R-MitISEM1.2-lp156.2.1Mixture of Student t Distributions using Importance Sampling
R-mitools2.4-lp156.2.1Tools for multiple imputation of missing data
R-mitre1.0.0-lp156.11.1Cybersecurity MITRE Standards Data and Digraphs
R-MittagLeffleR0.4.1-lp156.1.1Mittag-Leffler Family of Distributions
R-mix1.0.12-lp156.2.1Estimation/multiple Imputation for Mixed Categorical and Con
R-mixbox1.2.3-lp156.1.1Observed Fisher Information Matrix for Finite Mixture Model
R-mixchar0.1.0-lp156.11.1Mixture Model for the Deconvolution of Thermal Decay Curves
R-mixComp0.1.2-lp156.9.1Estimation of Order of Mixture Distributions
R-mixcure2.0-lp156.11.1Mixture Cure Models
R-mixdist0.5.5-lp156.2.1Finite Mixture Distribution Models
R-MixedIndTests1.2.0-lp156.3.1Tests of Randomness and Tests of Independence
R-MixedLevelRSDs1.0.0-lp156.1.1Mixed Level Response Surface Designs
R-mixedLSR0.1.0-lp156.2.1Mixed, Low-Rank, and Sparse Multivariate Regression on High-
R-mixedsde5.0-lp156.13.1Estimation Methods for Stochastic Differential Mixed Effects
R-MixedTS1.0.4-lp156.2.1Mixed Tempered Stable Distribution
R-mixEMM1.0-lp156.2.1A Mixed-Effects Model for Analyzing Cluster-Level Non-Ignora
R-mixexp1.2.7-lp156.6.1Design and Analysis of Mixture Experiments
R-mixIndependR1.0.0-lp156.1.1Genetics and Independence Testing of Mixed Genetic Panels
R-mixl1.3.4-lp156.1.1Simulated Maximum Likelihood Estimation of Mixed Logit Model
R-mixmeta1.2.0-lp156.1.1An Extended Mixed-Effects Framework for Meta-Analysis
R-mixor1.0.4-lp156.2.1Mixed-Effects Ordinal Regression Analysis
R-mixPHM0.7.2-lp156.2.1Mixtures of Proportional Hazard Models
R-mixRasch1.1-lp156.2.1Mixture Rasch Models with JMLE
R-mixRaschTools1.1.1-lp156.2.1Plotting and Average Theta Functions for Multiple Class Mixe
R-mixreg2.0.10-lp156.1.1Functions to Fit Mixtures of Regressions
R-MixSAL1.0-lp156.2.1Mixtures of Multivariate Shifted Asymmetric Laplace (SAL) Di
R-mixsep0.2.1.2-lp156.1.1Forensic Genetics DNA Mixture Separation
R-mixsmsn1.1.10-lp156.1.1Fitting Finite Mixture of Scale Mixture of Skew-Normal Distr
R-mixSPE0.9.2-lp156.1.1Mixtures of Power Exponential and Skew Power Exponential Dis
R-mixSSG2.1.1-lp156.1.1Clustering Using Mixtures of Sub Gaussian Stable Distributio
R-mixtNB1.0-lp156.2.1DE Analysis of RNA-Seq Data by Mixtures of NB
R-mixtox1.4.0-lp156.1.1Dose Response Curve Fitting and Mixture Toxicity Assessment
R-mixtur1.2.1-lp156.2.1Modelling Continuous Report Visual Short-Term Memory Studies
R-MixtureInf1.1-lp156.2.1Inference for Finite Mixture Models
R-MixtureMissing1.0.2-lp156.2.1Robust Model-Based Clustering for Data Sets with Missing Val
R-MixtureRegLTIC1.0.0-lp156.2.1Mixture Regression Models for Left-Truncated and Interval-Ce
R-MixTwice1.1-lp156.1.1MixTwice--a Package for Large-Scale Hypothesis Testing
R-mize0.2.4-lp156.2.1Unconstrained Numerical Optimization Algorithms
R-MKclass0.5-lp156.1.1Statistical Classification
R-MKdescr0.8-lp156.2.1Descriptive statistics
R-MKendall1.5.4-lp156.2.1Matrix Kendall\'s Tau and Matrix Elliptical Factor Model
R-mkin1.2.6-lp156.2.1Kinetic Evaluation of Chemical Degradation Data
R-MKLE1.0.1-lp156.1.1Maximum Kernel Likelihood Estimation
R-mknapsack0.1.0-lp156.2.1Multiple Knapsack Problem Solver
R-mkssd1.2-lp156.1.1Efficient Multi-Level k-Circulant Supersaturated Designs
R-ML.MSBD1.2.1-lp156.3.1Maximum Likelihood Inference on Multi-State Trees
R-ML2Pvae1.0.0.1-lp156.6.1Variational Autoencoder Models for IRT Parameter Estimation
R-mlapi0.1.1-lp156.1.1Abstract Classes for Building \'scikit-learn\' Like API
R-mlbench2.1.5-lp156.2.1Machine Learning Benchmark Problems
R-mlbstats0.1.0-lp156.2.1Major League Baseball Player Statistics Calculator
R-mlbstatsR0.1.0.3-lp156.1.1Stats, Photos, Logos, and Colors of M.L.B. (Major League Bas
R-MLCIRTwithin2.1.1-lp156.2.1Latent Class Item Response Theory (LC-IRT) Models under With
R-MLCM0.4.3-lp156.1.1Maximum Likelihood Conjoint Measurement
R-mldr0.4.3-lp156.13.1Exploratory Data Analysis and Manipulation of Multi-Label Da
R-mldr.datasets0.4.2-lp156.2.1R Ultimate Multilabel Dataset Repository
R-mldr.resampling0.2.3-lp156.3.1Resampling Algorithms for Multi-Label Datasets
R-MLDS0.5.1-lp156.1.1Maximum Likelihood Difference Scaling
R-mle.tools1.0.0-lp156.2.1Expected/Observed Fisher Information and Bias-Corrected Maxi
R-mlearning1.2.1-lp156.3.1Machine Learning Algorithms with Unified Interface and Confu
R-MLEce2.1.0-lp156.1.1Asymptotic Efficient Closed-Form Estimators for Multivariate
R-mlegp3.1.9-lp156.1.1Maximum Likelihood Estimates of Gaussian Processes
R-mlelod1.0.0.1-lp156.2.1MLE for Normally Distributed Data Censored by Limit of Detec
R-mleur1.0.6-lp156.2.1Maximum likelihood unit root test
R-MLeval0.3-lp156.14.1Machine Learning Model Evaluation
R-mlf1.2.1-lp156.2.1Machine Learning Foundations
R-mlfit0.5.3-lp156.9.1Iterative Proportional Fitting Algorithms for Nested Structu
R-mlflow2.11.1-lp156.1.1Interface to \'MLflow\'
R-MLGdata0.1.0-lp156.2.1Datasets for Use with Salvan, Sartori and Pace (2020)
R-mlgt0.16-lp156.6.1Multi-Locus Geno-Typing
R-mlica22.1-lp156.2.1Independent Component Analysis using Maximum Likelihood
R-MLmetrics1.1.3-lp156.2.1Machine Learning Evaluation Metrics
R-mlmi1.1.2-lp156.1.1Maximum Likelihood Multiple Imputation
R-MLML2R0.3.3-lp156.2.1Maximum Likelihood Estimation of DNA Methylation and Hydroxy
R-mlmmm0.3.1.2-lp156.2.1ML estimation under multivariate linear mixed models with mi
R-mlogitBMA0.1.7-lp156.1.1Bayesian Model Averaging for Multinomial Logit Models
R-MLPA1.10.0-lp156.2.1Multiplex Ligation-Dependent Probe Amplification Data Analys
R-mlPhaser0.01-lp156.3.1Multi-Locus Haplotype Phasing
R-MLpreemption1.0.1-lp156.1.1Maximum Likelihood Estimation of the Niche Preemption Model
R-MLPUGS0.2.0-lp156.2.1Multi-Label Prediction Using Gibbs Sampling (and Classifier
R-mlr2.19.2-lp156.1.1Machine Learning in R
R-mlr3benchmark0.1.6-lp156.1.1Analysis and Visualisation of Benchmark Experiments
R-mlr3data0.7.0-lp156.1.1Collection of Machine Learning Data Sets for \'mlr3\'
R-mlr3spatial0.5.0-lp156.2.1Support for Spatial Objects Within the \'mlr3\' Ecosystem
R-mlrCPO0.3.7.7-lp156.1.1Composable Preprocessing Operators and Pipelines for Machine
R-mlrMBO1.1.5.1-lp156.11.1Bayesian Optimization and Model-Based Optimization of Expens
R-MLRShiny0.1.0-lp156.14.1Interactive Application for Working with Multiple Linear Reg
R-MLRShiny20.1.0-lp156.14.1Interactive Application for Working with Multiple Linear Reg
R-mlsjunkgen0.1.2-lp156.1.1Use the MLS Junk Generator Algorithm to Generate a Stream of
R-mltest1.0.1-lp156.2.1Classification Evaluation Metrics
R-mltools0.3.5-lp156.2.1Machine Learning Tools
R-MLVSBM0.2.4-lp156.2.1A Stochastic Block Model for Multilevel Networks
R-mlxR4.2.0-lp156.11.1Simulation of Longitudinal Data
R-MM1.6.8-lp156.2.1The Multiplicative Multinomial Distribution
R-MMAC0.1.2-lp156.2.1Data for Mathematical Modeling and Applied Calculus
R-MMAD1.0.0-lp156.1.1MM Algorithm Based on the Assembly-Decomposition Technology
R-mmap0.6.22-lp156.1.1Map Pages of Memory
R-mmb0.13.3-lp156.4.1Arbitrary Dependency Mixed Multivariate Bayesian Models
R-mmc0.0.3-lp156.2.1Multivariate Measurement Error Correction
R-mmcards0.1.1-lp156.1.1Playing Cards Utility Functions
R-mmcm1.2.8-lp156.2.1Modified Maximum Contrast Method
R-MMD1.0.0-lp156.3.1Minimal Multilocus Distance (MMD) for Source Attribution and
R-MMDai2.0.0-lp156.2.1Multivariate Multinomial Distribution Approximation and Impu
R-MMDCopula0.2.1-lp156.2.1Robust Estimation of Copulas by Maximum Mean Discrepancy
R-mme0.1.6-lp156.2.1Multinomial Mixed Effects Models
R-mmeln1.5-lp156.1.1Estimation of Multinormal Mixture Distribution
R-mmeta3.0.0-lp156.1.1Multivariate Meta-Analysis
R-MMINP0.1.0-lp156.6.1Microbe-Metabolite Interactions-Based Metabolic Profiles Pre
R-MMLR0.2.0-lp156.2.1Fitting Markov-Modulated Linear Regression Models
R-mmm1.4-lp156.1.1an R package for analyzing multivariate longitudinal data wi
R-mmm21.2-lp156.2.1Multivariate marginal models with shared regression paramete
R-mmmgee1.20-lp156.2.1Simultaneous Inference for Multiple Linear Contrasts in GEE
R-mmod1.3.3-lp156.25.1Modern Measures of Population Differentiation
R-mmodely0.2.5-lp156.1.1Modeling Multivariate Origins Determinants - Evolutionary Li
R-mMPA1.2.0-lp156.2.1Implementation of Marker-Assisted Mini-Pooling with Algorith
R-mmpf0.0.5-lp156.2.1Monte-Carlo Methods for Prediction Functions
R-mmpp0.6-lp156.2.1Various Similarity and Distance Metrics for Marked Point Pro
R-mmr0.1.0-lp156.2.1Matrix Multiplication on Data.frames
R-MMRcaseselection0.1.0-lp156.14.1Case Classification and Selection Based on Regression Result
R-mmtsne0.1.0-lp156.2.1Multiple Maps t-SNE
R-MMWRweek0.1.3-lp156.2.1Convert Dates to MMWR Day, Week, and Year
R-MNB1.1.0-lp156.1.1Diagnostic Tools for a Multivariate Negative Binomial Model
R-mnj1.0-lp156.2.1Machine Learning and Judgement
R-MNLpred0.0.8-lp156.1.1Simulated Predicted Probabilities for Multinomial Logit Mode
R-MNM1.0.4-lp156.3.1Multivariate Nonparametric Methods. An Approach Based on Spa
R-mnonr1.0.0-lp156.2.1A Generator of Multivariate Non-Normal Random Numbers
R-mnormpow0.1.1-lp156.2.1Multivariate Normal Distributions with Power Integrand
R-mnormt2.1.1-lp156.1.1The Multivariate Normal and t Distributions, and Their Trunc
R-mnreadR2.1.7-lp156.1.1MNREAD Parameters Estimation and Curve Plotting
R-mnt1.3-lp156.2.1Affine Invariant Tests of Multivariate Normality
R-mob0.4.2-lp156.4.1Monotonic Optimal Binning
R-mobForest1.3.1-lp156.1.1Model Based Random Forest Analysis
R-mobilityIndexR0.2.1-lp156.1.1Calculates Transition Matrices and Mobility Indices
R-mobirep0.2.3-lp156.8.1Models Bivariate Dependence and Produces Bivariate Return Pe
R-MoBPS1.6.64-lp156.1.1Modular Breeding Program Simulator
R-moc2.0-lp156.2.1General Nonlinear Multivariate Finite Mixtures
R-MOCCA1.4-lp156.2.1Multi-Objective Optimization for Collecting Cluster Alternat
R-mockcpp0.0.1-lp156.3.1Mocking in C++ with \'testthat\'
R-mockr0.2.1-lp156.1.1Mocking in R
R-mockthat0.2.8-lp156.2.1Function Mocking for Unit Testing
R-mod0.1.3-lp156.2.1Lightweight and Self-Contained Modules for Code Organization
R-mod09nrt0.14-lp156.2.1Extraction of Bands from MODIS Surface Reflectance Product M
R-mod2rm0.2.1-lp156.6.1Moderation Analysis for Two-Instance Repeated Measures Desig
R-modACDC2.0.1-lp156.1.1Association of Covariance for Detecting Differential Co-Expr
R-Modalclust0.7-lp156.2.1Hierarchical Modal Clustering
R-modcmfitr0.1.0-lp156.2.1Fit a Modified Connor-Mosimann Distribution to Elicited Quan
R-modeest2.4.0-lp156.3.1Mode Estimation
R-modehunt1.0.7-lp156.2.1Multiscale Analysis for Density Functions
R-model4you0.9.7-lp156.11.1Stratified and Personalised Models Based on Model-Based Tree
R-modelbased0.8.8-lp156.1.1Estimation of Model-Based Predictions, Contrasts and Means
R-modelc1.0.0.0-lp156.2.1A Linear Model to \'SQL\' Compiler
R-modeldata1.4.0-lp156.1.1Data Sets Useful for Modeling Examples
R-modelfactory1.0.0-lp156.1.1Combine Statistical Models into a Tibble for Comparison
R-modelfree1.2-lp156.1.1Model-Free Estimation of a Psychometric Function
R-ModelGood1.0.9-lp156.4.1Validation of risk prediction models
R-modelimpact1.0.0-lp156.7.1Functions to Assess the Business Impact of Churn Prediction
R-modello0.1.1-lp156.1.1Homemade Deep Learning Library
R-ModelMap3.4.0.4-lp156.3.1Modeling and Map Production using Random Forest and Related
R-ModelMatrixModel0.1.0-lp156.1.1Create Model Matrix and Save the Transforming Parameters
R-modelObj4.2-lp156.1.1A Model Object Framework for Regression Analysis
R-modelplotr1.1.0-lp156.18.1Plots to Evaluate the Business Performance of Predictive Mod
R-modelr0.1.11-lp156.3.1Modelling Functions that Work with the Pipe
R-modelROC1.0-lp156.7.1Model Based ROC Analysis
R-modelSSE0.1.3-lp156.1.1Modelling Infectious Disease Superspreading from Contact Tra
R-modeltools0.2.23-lp156.2.1Tools and Classes for Statistical Models
R-modelwordcloud0.1-lp156.2.1Model Word Clouds
R-moder0.2.1-lp156.1.1Mode Estimation
R-moderate.mediation0.0.10-lp156.1.1Causal Moderated Mediation Analysis
R-modernVA0.1.3-lp156.1.1An Implementation of Two Modern Education-Based Value-Added
R-ModEstM0.0.1-lp156.5.1Mode Estimation, Even in the Multimodal Case
R-modEvA3.17-lp156.1.1Model Evaluation and Analysis
R-modi0.1.2-lp156.1.1Multivariate Outlier Detection and Imputation for Incomplete
R-modifiedmk1.6-lp156.1.1Modified Versions of Mann Kendall and Spearman\'s Rho Trend
R-modiscloud0.14-lp156.4.1R tools for processing Level 2 Cloud Mask products from MODI
R-MODISSnow0.1.0.0-lp156.4.1Provides a Function to Download MODIS Snow Cover
R-MODISTools1.1.5-lp156.2.1Interface to the \'MODIS Land Products Subsets\' Web Service
R-modmarg0.9.6-lp156.2.1Calculating Marginal Effects and Levels with Errors
R-modMax1.1-lp156.7.1Community Structure Detection via Modularity Maximization
R-modopt.matlab1.0.2-lp156.4.1\'MatLab\'-Style Modeling of Optimization Problems
R-modQR0.1.3-lp156.2.1Multiple-Output Directional Quantile Regression
R-ModStatR1.3.2-lp156.2.1Statistical Modelling in Action with R
R-modTurPoint0.1.0-lp156.2.1Estimate ED50 Based on Modified Turning Point Method
R-modules0.13.0-lp156.1.1Self Contained Units of Source Code
R-modygliani1.0-lp156.2.1MOlecular DYnamics GLobal ANalysis
R-MOEADr1.1.3-lp156.1.1Component-Wise MOEA/D Implementation
R-MoEClust1.5.2-lp156.1.1Gaussian Parsimonious Clustering Models with Covariates and
R-moexer0.3.0-lp156.2.1Interact with Moscow Exchange Informational and Statistical
R-MOFAT1.0-lp156.1.1Maximum One-Factor-at-a-Time Designs
R-mogavs1.1.0-lp156.2.1Multiobjective Genetic Algorithm for Variable Selection in R
R-MoLE1.0.1-lp156.2.1Modeling Language Evolution
R-MolgenisAuth0.0.25-lp156.1.1\'OpenID Connect\' Discovery and Authentication
R-MOLHD0.2-lp156.11.1Multiple Objective Latin Hypercube Design
R-momentchi20.1.5-lp156.2.1Moment-Matching Methods for Weighted Sums of Chi-Squared Ran
R-momentfit0.5-lp156.1.1Methods of Moments
R-moments0.14.1-lp156.1.1Moments, Cumulants, Skewness, Kurtosis and Related Tests
R-monashtipr0.1.0-lp156.7.1An R API Wrapper for the Monash University Probabilistic Foo
R-mondate1.0-lp156.1.1Keep track of dates in terms of months
R-Mondrian1.1.1-lp156.1.1A Simple Graphical Representation of the Relative Occurrence
R-mongopipe0.1.1-lp156.2.1Query MongoDB Documents with R
R-monitoR1.0.7-lp156.2.1Acoustic Template Detection in R
R-monitOS0.1.5-lp156.3.1Monitoring Overall Survival in Pivotal Trials in Indolent Ca
R-monkeylearn0.2.0-lp156.2.1Accesses the Monkeylearn API for Text Classifiers and Extrac
R-monmlp1.1.5-lp156.7.1Multi-Layer Perceptron Neural Network with Optional Monotoni
R-monochromeR0.2.0-lp156.1.1Easily Create, View and Use Monochrome Colour Palettes
R-monoClust1.2.1-lp156.14.1Perform Monothetic Clustering with Extensions to Circular Da
R-MonoInc1.1-lp156.19.1Monotonic Increasing
R-monomvn1.9.20-lp156.1.1Estimation for MVN and Student-t Data with Monotone Missingn
R-MonoPoly0.3.10-lp156.2.1Functions to Fit Monotone Polynomials
R-monoreg2.1-lp156.1.1Bayesian Monotonic Regression Using a Marked Point Process C
R-monotone0.1.2-lp156.1.1Performs Monotone Regression
R-MonotoneHazardRatio0.1.1-lp156.1.1Nonparametric Estimation and Inference of a Monotone Hazard
R-monotonicity1.3.1-lp156.2.1Test for Monotonicity in Expected Asset Returns, Sorted by P
R-monreg0.1.4.1-lp156.1.1Nonparametric Monotone Regression
R-Monte.Carlo.se0.1.1-lp156.1.1Monte Carlo Standard Errors
R-MonteCarlo1.0.6-lp156.3.1Automatic Parallelized Monte Carlo Simulations
R-MonteCarloSEM0.0.8-lp156.2.1Monte Carlo Data Simulation Package
R-moodlequizR2.1.1-lp156.2.1Easily Create Fully Randomized \'Moodle\' Test Questions
R-moonBook0.3.1-lp156.9.1Functions and Datasets for the Book by Keon-Woong Moon
R-moose0.0.1-lp156.1.1Mean Squared Out-of-Sample Error Projection
R-mopac0.1.0-lp156.1.1Collection of Datasets Pertaining to Loop 1 \"Mopac\"
R-mopsocd0.5.1-lp156.2.1MOPSOCD: Multi-objective Particle Swarm Optimization with Cr
R-MOrder0.1-lp156.2.1Check Time Homogeneity and Markov Chain Order
R-morepls0.1-lp156.2.1Interpretation Tools for Partial Least Squares Regression
R-morestopwords0.2.0-lp156.1.1All Stop Words in One Place
R-morgenstemning1.0-lp156.2.1Color schemes compatible with red-green color perception dif
R-morphemepiece1.2.3-lp156.7.1Morpheme Tokenization
R-morphemepiece.data1.2.0-lp156.1.1Data for Morpheme Tokenization
R-morpheus1.0.4-lp156.1.1Estimate Parameters of Mixtures of Logistic Regressions
R-morrowplots0.1.0-lp156.2.1Historical Agricultural Data from the University of Illinois
R-MorseGen1.2-lp156.2.1Simple raw data generator based on user-specified summary st
R-mort0.0.1-lp156.1.1Identifying Potential Mortalities and Expelled Tags in Aquat
R-mortAAR1.1.6-lp156.2.1Analysis of Archaeological Mortality Data
R-MortalityLaws2.1.0-lp156.2.1Parametric Mortality Models, Life Tables and HMD
R-MortalitySmooth2.3.4-lp156.1.1Smoothing and Forecasting Poisson Counts with P-Splines
R-MortalityTables2.0.5-lp156.1.1A Framework for Various Types of Mortality / Life Tables
R-MortCast2.7.0-lp156.1.1Estimation and Projection of Age-Specific Mortality Rates
R-mortyr0.0.2-lp156.10.1Wrapper to \'The Rick and Morty\' API
R-mosaic1.9.1-lp156.2.1Project MOSAIC Statistics and Mathematics Teaching Utilities
R-mosaic.find0.1.2-lp156.2.1Finding Rhythmic and Non-Rhythmic Trends in Multi-Omics Data
R-mosaicCore0.9.4.0-lp156.2.1Common Utilities for Other MOSAIC-Family Packages
R-mosaicData0.20.4-lp156.1.1Project MOSAIC Data Sets
R-mosqcontrol0.1.0-lp156.12.1Mosquito Control Resource Optimization
R-MOST0.1.2-lp156.1.1Multiphase Optimization Strategy
R-motmot2.1.3-lp156.7.1Models of Trait Macroevolution on Trees
R-moult2.3.1-lp156.1.1Models for Analysing Moult in Birds
R-mountainplot1.4-lp156.1.1Mountain Plots, Folded Empirical Cumulative Distribution Plo
R-mousetrack1.0.0-lp156.2.1Mouse-Tracking Measures from Trajectory Data
R-mousetRajectory0.2.1-lp156.1.1Mouse Trajectory Analyses for Behavioural Scientists
R-move4.2.4-lp156.3.1Visualizing and Analyzing Animal Track Data
R-movecost2.1-lp156.1.1Calculation of Slope-Dependant Accumulated Cost Surface, Lea
R-movementsync0.1.4-lp156.2.1Analysis and Visualisation of Musical Audio and Video Moveme
R-movMF0.2.8-lp156.1.1Mixtures of von Mises-Fisher Distributions
R-mozzie0.1.0-lp156.2.1Weekly Notified Dengue Cases in Sri Lanka
R-mpa0.7.3-lp156.8.1CoWords Method
R-mpathsenser1.2.3-lp156.2.1Process and Analyse Data from m-Path Sense
R-MPCI1.0.7-lp156.2.1Multivariate Process Capability Indices (MPCI)
R-mpcv1.1-lp156.2.1Multivariate Process Capability Vector
R-MPDiR0.2-lp156.1.1Data Sets and Scripts for Modeling Psychophysical Data in R
R-mpe1.0-lp156.2.1Multiple Primary Endpoints
R-MPI0.1.0-lp156.8.1Computation of Multidimensional Poverty Index (MPI)
R-mpindex0.2.1-lp156.1.1Multidimensional Poverty Index (MPI)
R-MPINet1.0-lp156.2.1The package can implement the network-based metabolite pathw
R-mpitbR1.0.0-lp156.2.1Calculate Alkire-Foster Multidimensional Poverty Measures
R-MPkn0.1.0-lp156.2.1Calculations of One Discrete Model in Several Time Steps
R-MPLikelihoodWB1.1-lp156.2.1Modified Profile Likelihood Estimation for Weibull Shape and
R-mpm1.0.23-lp156.1.1Multivariate Projection Methods
R-mpmcorrelogram0.1.4-lp156.2.1Multivariate Partial Mantel Correlogram
R-mpmi0.43.2.1-lp156.1.1Mixed-Pair Mutual Information Estimators
R-MPN0.3.0-lp156.2.1Most Probable Number and Other Microbial Enumeration Techniq
R-mpoly1.1.1-lp156.19.1Symbolic Computation and More with Multivariate Polynomials
R-mpower0.1.0-lp156.6.1Power Analysis via Monte Carlo Simulation for Correlated Dat
R-mppa1.0-lp156.2.1Statistics for analysing multiple simultaneous point process
R-mppR1.5.0-lp156.1.1Multi-Parent Population QTL Analysis
R-mpr1.0.6-lp156.1.1Multi-Parameter Regression (MPR)
R-MPR.genotyping0.8-lp156.2.1Maximum Parsimony of Recombination to Infer Parental Genotyp
R-MPS2.3.1-lp156.2.1Estimating Through the Maximum Product Spacing Approach
R-mpspline20.1.6-lp156.1.1Mass-Preserving Spline Functions for Soil Data
R-MPsychoR0.10.8-lp156.2.1Modern Psychometrics with R
R-MQMF0.1.5-lp156.1.1Modelling and Quantitative Methods in Fisheries
R-mQTL1.0-lp156.2.1Metabolomic Quantitative Trait Locus Mapping
R-mr.pivw0.1.1-lp156.1.1Penalized Inverse-Variance Weighted Estimator for Mendelian
R-mr.raps0.2-lp156.2.1Two Sample Mendelian Randomization using Robust Adjusted Pro
R-mra2.16.11-lp156.2.1Mark-Recapture Analysis
R-mratios1.4.2-lp156.3.1Ratios of Coefficients in the General Linear Model
R-mrbin1.7.5-lp156.1.1Metabolomics Data Analysis Functions
R-mRc0.1.0-lp156.1.1Multi-Visit Closed Population Mark-Recapture Estimates
R-MRCE2.4-lp156.1.1Multivariate Regression with Covariance Estimation
R-mrds2.3.0-lp156.2.1Mark-Recapture Distance Sampling
R-mreg1.2.1-lp156.1.1Fits Regression Models When the Outcome is Partially Missing
R-mrfse0.2-lp156.2.1Markov Random Field Structure Estimator
R-mrgsim.parallel0.2.1-lp156.6.1Simulate with \'mrgsolve\' in Parallel
R-MRH2.2-lp156.2.1Multi-Resolution Estimation of the Hazard Rate
R-MRHawkes1.0-lp156.4.1Multivariate Renewal Hawkes Process
R-mri1.0.1-lp156.2.1Modified Rand and Wallace Indices
R-mritc0.5.3-lp156.1.1MRI Tissue Classification
R-MRMCaov0.3.0-lp156.3.1Multi-Reader Multi-Case Analysis of Variance
R-MRMCsamplesize1.0.0-lp156.1.1Sample Size Estimations for Planning Multi-Reader Multi-Case
R-MRmediation1.0.1-lp156.16.1A Causal Mediation Method with Methylated Region (MR) as the
R-MRMR0.1.4-lp156.8.1Multivariate Regression Models for Reserving
R-mRMRe2.1.2.1-lp156.4.1Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
R-mro0.1.1-lp156.3.1Multiple Correlation
R-MRQoL1.0-lp156.2.1Minimal Clinically Important Difference and Response Shift E
R-mrregression1.0.0-lp156.3.1Regression Analysis for Very Large Data Sets via Merge and R
R-MRsurv0.2-lp156.2.1A multiplicative-regression model for relative survival.
R-MRTSampleSize0.3.0-lp156.2.1A Sample Size Calculator for Micro-Randomized Trials
R-MRTSampleSizeBinary0.1.2-lp156.1.1Sample Size Calculator for MRT with Binary Outcomes
R-ms.sev1.0.4-lp156.2.1Package for Calculation of ARMSS, Local MSSS and Global MSSS
R-msae0.1.5-lp156.1.1Multivariate Fay Herriot Models for Small Area Estimation
R-msaeDB0.2.1-lp156.1.1Difference Benchmarking for Multivariate Small Area Estimati
R-msaeOB0.1.0-lp156.1.1Optimum Benchmarking for Multivariate Small Area Estimation
R-msaeRB0.2.1-lp156.1.1Ratio Benchmarking for Multivariate Small Area Estimation
R-msaFACE0.1.0-lp156.2.1Moving Subset Analysis FACE
R-msamp1.0.0-lp156.1.1Estimate Sample Size to Detect Bacterial Contamination in a
R-msap1.1.8-lp156.6.1Statistical analysis for Methylation-sensitive Amplification
R-MSbox1.4.8-lp156.3.1Mass Spectrometry Tools
R-msBP1.4.1-lp156.1.1Multiscale Bernstein Polynomials for Densities
R-MSBStatsData0.0.2-lp156.2.1Data Sets for Courses at the Münster School of Business
R-MSCMT1.4.0-lp156.2.1Multivariate Synthetic Control Method Using Time Series
R-MScombine1.4-lp156.3.1Combine Data from Positive and Negative Ionization Mode Find
R-mscp1.0-lp156.1.1Multiscale Change Point Detection via Gradual Bandwidth Adju
R-MSCsimtester1.0.0-lp156.3.1Tests of Multispecies Coalescent Gene Tree Simulator Output
R-mscstts0.6.3-lp156.1.1R Client for the Microsoft Cognitive Services \'Text-to-Spee
R-msd0.3.1-lp156.1.1Method of Successive Dichotomizations
R-msda1.0.3-lp156.1.1Multi-Class Sparse Discriminant Analysis
R-MsdeParEst1.7-lp156.11.1Parametric Estimation in Mixed-Effects Stochastic Differenti
R-msdrought0.1.0-lp156.2.1Seasonal Mid-Summer Drought Characteristics
R-mseapca2.0.3-lp156.1.1Metabolite Set Enrichment Analysis for Loadings
R-MSG0.8-lp156.1.1Data and Functions for the Book Modern Statistical Graphics
R-MSGLasso2.1-lp156.2.1Multivariate Sparse Group Lasso for the Multivariate Multipl
R-msgpackR1.1-lp156.2.1A library to serialize or unserialize data in MessagePack fo
R-msgps1.3.5-lp156.1.1Degrees of Freedom of Elastic Net, Adaptive Lasso and Genera
R-msgr1.1.2-lp156.4.1Extends Messages, Warnings and Errors by Adding Levels and L
R-mshap0.1.0-lp156.9.1Multiplicative SHAP Values for Two-Part Models
R-msigdbr7.5.1-lp156.5.1MSigDB Gene Sets for Multiple Organisms in a Tidy Data Forma
R-mSigTools1.0.7-lp156.1.1Mutational Signature Analysis Tools
R-mSimCC0.0.3-lp156.1.1Micro Simulation Model for Cervical Cancer Prevention
R-msir1.3.3-lp156.2.1Model-Based Sliced Inverse Regression
R-mskcc.oncotree0.1.1-lp156.6.1Interface to the \'OncoTree\' API
R-msltrend1.0-lp156.16.1Improved Techniques to Estimate Trend, Velocity and Accelera
R-msma3.1-lp156.1.1Multiblock Sparse Multivariable Analysis
R-msme0.5.3-lp156.2.1Functions and Datasets for \"Methods of Statistical Model Es
R-MSML1.0.0.1-lp156.2.1Model Selection Based on Machine Learning (ML)
R-MSMwRA1.5-lp156.1.1Multivariate Statistical Methods with R Applications
R-msos1.2.0-lp156.3.1Data Sets and Functions Used in Multivariate Statistics: Old
R-MSoutcomes0.2.0-lp156.2.1CORe Multiple Sclerosis Outcomes Toolkit
R-MSRDT0.1.0-lp156.14.1Multi-State Reliability Demonstration Tests (MSRDT)
R-msSPChelpR0.9.1-lp156.1.1Helper Functions for Second Primary Cancer Analyses
R-MSSQL1.0.0-lp156.1.1Tools to Work with Microsoft SQL Server Databases via \'RODB
R-mssqlR1.0.0-lp156.1.1MSSQL Querying using R
R-MST2.2-lp156.2.1Multivariate Survival Trees
R-mStats3.4.0-lp156.2.1Epidemiological Data Analysis
R-mstclustering1.0.0.0-lp156.4.1\"MST-Based Clustering\"
R-mSTEM1.0.1-lp156.6.1Multiple Testing of Local Extrema for Detection of Change Po
R-mstherm0.4.7-lp156.2.1Analyze MS/MS Protein Melting Data
R-mstknnclust0.3.2-lp156.5.1MST-kNN Clustering Algorithm
R-mstR1.2-lp156.2.1Procedures to Generate Patterns under Multistage Testing
R-mstrio11.3.5.101-lp156.7.1Interface for \'MicroStrategy\' REST API
R-msu0.0.1-lp156.2.1Multivariate Symmetric Uncertainty and Other Measurements
R-MSwM1.5-lp156.1.1Fitting Markov Switching Models
R-MTAFT0.1.0-lp156.1.1Data-Driven Estimation for Multi-Threshold Accelerate Failur
R-mtanan0.0.1-lp156.2.1Single Valued Neutrosophic Kruskal-Wallis and Mann Whitney T
R-MTAR0.1.1-lp156.2.1Multi-Trait Analysis of Rare-Variant Association Study
R-mtb0.1.8-lp156.7.1My Toolbox for Assisting Document Editing and Data Presentin
R-mtconnectR1.2.1-lp156.13.1Read Data from Delimited \'MTConnect\' Data Files and Perfor
R-MTDrh0.1.0-lp156.2.1Mass Transportation Distance Rank Histogram
R-mthapower0.1.1-lp156.2.1Sample Size and Power for Association Studies Involving Mito
R-mtsdi0.3.5-lp156.2.1Multivariate Time Series Data Imputation
R-mtsta0.0.0.1-lp156.1.1Accessing the Red List of Montane Tree Species of the Tropic
R-MTSYS1.2.0-lp156.2.1Methods in Mahalanobis-Taguchi (MT) System
R-mtvc1.1.0-lp156.1.1Multiple Counting Process Structure for Survival Analysis
R-MUACz2.1.0-lp156.16.1Generate MUAC and BMI z-Scores and Percentiles for Children
R-muckrock0.1.0-lp156.2.1Data on Freedom of Information Act Requests
R-mudata21.1.3-lp156.4.1Interchange Tools for Multi-Parameter Spatiotemporal Data
R-mudens1.3.2-lp156.2.1Density Estimate
R-mueRelativeRisk0.1.1-lp156.2.1Relative Risk Based on the Ratio of Median Unbiased Estimate
R-MuFiCokriging1.2-lp156.2.1Multi-Fidelity Cokriging models
R-muhaz1.2.6.4-lp156.1.1Hazard Function Estimation in Survival Analysis
R-mulgar1.0.2-lp156.2.1Functions for Pre-Processing Data for Multivariate Data Visu
R-MullerPlot0.1.3-lp156.1.1Generates Muller Plot from Population/Abundance/Frequency Dy
R-mulset1.0.0-lp156.3.1Multiset Intersection Generator
R-MultAlloc1.2-lp156.2.1Optimal Allocation in Stratified Sampling
R-multcompView0.1.10-lp156.2.1Visualizations of Paired Comparisons
R-MultEq2.4-lp156.1.1Multiple Equivalence Tests and Simultaneous Confidence Inter
R-multfisher1.1-lp156.2.1Optimal Exact Tests for Multiple Binary Endpoints
R-multiActionButton1.0.0-lp156.9.1Multi Action Button for \'Shiny\' Applications
R-multiApply2.1.4-lp156.1.1Apply Functions to Multiple Multidimensional Arrays or Vecto
R-multiAssetOptions0.1.2-lp156.1.1Finite Difference Method for Multi-Asset Option Valuation
R-multiband0.1.0-lp156.2.1Period Estimation for Multiple Bands
R-multibiasmeta0.2.2-lp156.2.1Sensitivity Analysis for Multiple Biases in Meta-Analyses
R-multibreakeR0.1.0-lp156.2.1Tests for a Structural Change in Multivariate Time Series
R-multiCA1.1-lp156.2.1Multinomial Cochran-Armitage Trend Test
R-multicastR2.0.0-lp156.1.1A Companion to the Multi-CAST Collection
R-MultiClassROC0.1.0-lp156.1.1ROC Curves for Multi-Class Analysis
R-multicmp1.1-lp156.2.1Flexible Modeling of Multivariate Count Data via the Multiva
R-MultiCNVDetect0.1.1-lp156.2.1Multiple Copy Number Variation Detection
R-multiColl2.0-lp156.1.1Collinearity Detection in a Multiple Linear Regression Model
R-multicolor0.1.7-lp156.1.1Add Multiple Colors to your Console & RMarkdown Output
R-multicon1.6-lp156.3.1Multivariate Constructs
R-multidplyr0.1.3-lp156.3.1A Multi-Process \'dplyr\' Backend
R-multiFANOVA0.1.0-lp156.2.1Multiple Contrast Tests for Functional Data
R-multifunc0.9.4-lp156.9.1Analysis of Ecological Drivers on Ecosystem Multifunctionali
R-multifwf0.2.2-lp156.2.1Read Fixed Width Format Files Containing Lines of Different
R-MultiGHQuad1.2.0-lp156.2.1Multidimensional Gauss-Hermite Quadrature
R-multigraph0.99.3-lp156.2.1Plot and Manipulate Multigraphs
R-multigraphr0.2.0-lp156.1.1Probability Models and Statistical Analysis of Random Multig
R-multigroup0.4.5-lp156.2.1Multigroup Data Analysis
R-MultiHorizonSPA1.0.0-lp156.1.1Multi Horizon Superior Predictive Ability
R-MultiJoin0.1.1-lp156.2.1Enables Efficient Joining of Data File on Common Fields usin
R-multilaterals1.0-lp156.9.1Transitive Index Numbers for Cross-Sections and Panel Data
R-MultiLCIRT2.11-lp156.2.1Multidimensional Latent Class Item Response Theory Models
R-multilevel2.7-lp156.1.1Multilevel Functions
R-multilinguer0.2.4-lp156.6.1Gentle Language Installer for R User
R-multimark2.1.6-lp156.5.1Capture-Mark-Recapture Analysis using Multiple Non-Invasive
R-multiMarker1.0.1-lp156.2.1Latent Variable Model to Infer Food Intake from Multiple Bio
R-multimix1.0.10-lp156.1.1Fit Mixture Models Using the Expectation Maximisation (EM) A
R-multimode1.5-lp156.4.1Mode Testing and Exploring
R-multimorbidity0.5.1-lp156.3.1Harmonizing Various Comorbidity, Multimorbidity, and Frailty
R-multinbmod1.0-lp156.2.1Regression analysis of overdispersed correlated count data
R-MultinomialCI1.2-lp156.1.1Simultaneous Confidence Intervals for Multinomial Proportion
R-multinomRob1.8.6.1-lp156.2.1Robust Estimation of Overdispersed Multinomial Regression Mo
R-multipanelfigure2.1.6-lp156.2.1Infrastructure to Assemble Multi-Panel Figures (from Grobs)
R-multiPIM1.4.3-lp156.2.1Variable Importance Analysis with Population Intervention Mo
R-MultipleBreakpoints0.1.0-lp156.1.1Estimating Multiple Breakpoints for a Sequence of Realizatio
R-MultipleBubbles0.2.0-lp156.2.1Test and Detection of Explosive Behaviors for Time Series
R-multipleNCC1.2.4-lp156.1.1Weighted Cox-Regression for Nested Case-Control Data
R-multipleOutcomes0.4-lp156.1.1Asymptotic Covariance Matrix of Regression Models for Multip
R-MultipleRegression0.1.0-lp156.1.1Multiple Regression Analysis
R-MultiplierDEA0.1.19-lp156.5.1Multiplier Data Envelopment Analysis and Cross Efficiency
R-multipol1.0.9-lp156.1.1Multivariate Polynomials
R-multiRDPG1.0.1-lp156.2.1Multiple Random Dot Product Graphs
R-multirich2.1.3-lp156.1.1Calculate Multivariate Richness via UTC and sUTC
R-multiridge1.11-lp156.2.1Fast Cross-Validation for Multi-Penalty Ridge Regression
R-MultiRNG1.2.4-lp156.1.1Multivariate Pseudo-Random Number Generation
R-MultiRobust1.0.5-lp156.2.1Multiply Robust Methods for Missing Data Problems
R-multiROC1.1.1-lp156.2.1Calculating and Visualizing ROC and PR Curves Across Multi-C
R-MultIS0.6.2-lp156.11.1Reconstruction of Clones from Integration Site Readouts and
R-MultiSkew1.1.1-lp156.2.1Measures, Tests and Removes Multivariate Skewness
R-multisom1.3-lp156.3.1Clustering a Data Set using Multi-SOM Algorithm
R-multispatialCCM1.3-lp156.1.1Multispatial Convergent Cross Mapping
R-MultiSV0.0.67-lp156.2.1MultiSV: an R package for identification of structural varia
R-multitaper1.0.17-lp156.1.1Spectral Analysis Tools using the Multitaper Method
R-multiUS1.2.3-lp156.1.1Functions for the Courses Multivariate Analysis and Computer
R-multivator1.1.11-lp156.1.1A Multivariate Emulator
R-multiversion0.3.6-lp156.1.1Version Controlled Package Manager
R-multiwave1.4-lp156.2.1Estimation of Multivariate Long-Memory Models Parameters
R-multiway1.0.6-lp156.2.1Component Models for Multi-Way Data
R-MultiwayRegression1.2-lp156.2.1Perform Tensor-on-Tensor Regression
R-multiwayvcov1.2.3-lp156.2.1Multi-Way Standard Error Clustering
R-MultNonParam1.3.9-lp156.3.1Multivariate Nonparametric Methods
R-multxpert0.1.1-lp156.2.1Common Multiple Testing Procedures and Gatekeeping Procedure
R-MulvariateRandomForestVarImp0.0.2-lp156.2.1Variable Importance Measures for Multivariate Random Forests
R-munfold0.3.5-lp156.8.1Metric Unfolding
R-munsell0.5.1-lp156.2.1Utilities for Using Munsell Colours
R-munsellinterpol3.0.0-lp156.1.1Interpolate Munsell Renotation Data from Hue/Chroma to CIE/R
R-muRL0.1.13-lp156.2.1Mailmerge using R, LaTeX, and the Web
R-murphydiagram0.12.2-lp156.2.1Murphy Diagrams for Forecast Comparisons
R-muRty0.3.1-lp156.2.1Murty\'s Algorithm for k-Best Assignments
R-MUS0.1.6-lp156.2.1Monetary Unit Sampling and Estimation Methods, Widely Used i
R-music0.1.2-lp156.1.1Learn and Experiment with Music Theory
R-musicNMR1.0-lp156.1.1Conversion of Nuclear Magnetic Resonance Spectra in Audio Fi
R-mustashe0.1.4-lp156.6.1Stash and Load Objects
R-muStat1.7.0-lp156.2.1Prentice Rank Sum Test and McNemar Test
R-mutationtypes0.0.1-lp156.1.1Validate and Convert Mutational Impacts Using Standard Genom
R-mutSignatures2.1.1-lp156.13.1Decipher Mutational Signatures from Somatic Mutational Catal
R-mutualinf1.2.2-lp156.1.1Computation and Decomposition of the Mutual Information Inde
R-MuViCP1.3.2-lp156.2.1MultiClass Visualizable Classification using Combination of
R-MVA1.0.8-lp156.1.1An Introduction to Applied Multivariate Analysis with R
R-MvBinary1.1-lp156.2.1Modelling Multivariate Binary Data with Blocks of Specific O
R-mvbutils2.8.232-lp156.2.1Workspace Organization, Code and Documentation Editing, Pack
R-mvc1.3-lp156.11.1Multi-View Clustering
R-MVET0.1.0-lp156.1.1Multivariate Estimates and Tests
R-mvglmmRank1.2.4-lp156.1.1Multivariate Generalized Linear Mixed Models for Ranking Spo
R-MVisAGe0.2.1-lp156.2.1Compute and Visualize Bivariate Associations
R-MVLM0.1.4-lp156.2.1Multivariate Linear Model with Analytic p-Values
R-mvLSW1.2.5-lp156.8.1Multivariate, Locally Stationary Wavelet Process Estimation
R-mvLSWimpute0.1.1-lp156.12.1Imputation Methods for Multivariate Locally Stationary Time
R-mvmeta1.0.3-lp156.2.1Multivariate and Univariate Meta-Analysis and Meta-Regressio
R-mvMonitoring0.2.4-lp156.1.1Multi-State Adaptive Dynamic Principal Component Analysis fo
R-mvna2.0.1-lp156.2.1Nelson-Aalen Estimator of the Cumulative Hazard in Multistat
R-MVNBayesian0.0.8.11-lp156.3.1Bayesian Analysis Framework for MVN (Mixture) Distribution
R-mvngGrAd0.1.6-lp156.1.1Moving Grid Adjustment in Plant Breeding Field Trials
R-mvnmle0.1.11.2-lp156.1.1ML Estimation for Multivariate Normal Data with Missing Valu
R-mvnormalTest1.0.0-lp156.2.1Powerful Tests for Multivariate Normality
R-mvnormtest0.1.9.3-lp156.2.1Normality test for multivariate variables
R-mvnpermute1.0.1-lp156.1.1Generate New Multivariate Normal Samples from Permutations
R-mvnTest1.1.0-lp156.2.1Goodness of Fit Tests for Multivariate Normality
R-mvoutlier2.1.1-lp156.1.1Multivariate outlier detection based on robust methods
R-MVPBT1.2.1-lp156.1.1Publication Bias Tests for Meta-Analysis of Diagnostic Accur
R-mvpd0.0.4-lp156.1.1Multivariate Product Distributions for Elliptically Contoure
R-mvPot0.1.6-lp156.1.1Multivariate Peaks-over-Threshold Modelling for Spatial Extr
R-mvProbit0.1.10-lp156.3.1Multivariate Probit Models
R-mvprpb1.0.4-lp156.2.1Orthant Probability of the Multivariate Normal Distribution
R-mvQuad1.0.8-lp156.1.1Methods for Multivariate Quadrature
R-MVQuickGraphs0.1.2-lp156.2.1Quick Multivariate Graphs
R-MVR1.33.0-lp156.2.1Mean-Variance Regularization
R-mvrtn1.0-lp156.2.1Mean and Variance of Truncated Normal Distribution
R-mvsf1.0-lp156.2.1Shapiro-Francia Multivariate Normality Test
R-mvShapiroTest1.0-lp156.2.1Generalized Shapiro-Wilk test for multivariate normality
R-mvSLOUCH2.7.6-lp156.3.1Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for
R-mvSUSY0.1.0-lp156.1.1Multivariate Surrogate Synchrony
R-MVTests2.2.2-lp156.1.1Multivariate Hypothesis Tests
R-mvtmeta1.1-lp156.2.1Multivariate Meta-Analysis
R-MWLasso1.3.1-lp156.2.1Penalized Moving-Window Lasso Method for Genome-Wide Associa
R-mwlaxeref0.0.1-lp156.1.1Cross-References Lake Identifiers Between Different Data Set
R-MWright0.3.2-lp156.3.1Mainardi-Wright Family of Distributions
R-mwshiny2.1.0-lp156.15.1\'Shiny\' for Multiple Windows
R-mwTensor1.0.1-lp156.2.1Multi-Way Component Analysis
R-mxkssd1.2-lp156.1.1Efficient Mixed-Level k-Circulant Supersaturated Designs
R-Mychisq0.1.3-lp156.1.1Chi-Squared Test for Goodness of Fit and Independence Test
R-mycobacrvR1.1-lp156.1.1Integrative Immunoinformatics for Mycobacterial Diseases in
R-mycor0.1.1-lp156.2.1Automatic Correlation and Regression Test in a \'data.frame\
R-myCRAN1.1-lp156.1.1Graph of Daily and Cumulative Downloads of your Packages
R-myepisodes1.1.1-lp156.3.1MyEpisodes RSS/API functions
R-mzipmed1.4.0-lp156.1.1Mediation using MZIP Model
R-N2H40.8.4-lp156.2.1Handling Methods for Naver News Text Crawling
R-na.tools0.3.1-lp156.2.1Comprehensive Library for Working with Missing (NA) Values i
R-NAC0.1.0-lp156.1.1Network-Adjusted Covariates for Community Detection
R-NADA1.6.1.1-lp156.2.1Nondetects and Data Analysis for Environmental Data
R-nadiv2.18.0-lp156.2.1(Non)Additive Genetic Relatedness Matrices
R-NAEPirtparams1.0.0-lp156.1.1IRT Parameters for the National Assessment of Education Prog
R-NAEPprimer1.0.1-lp156.2.1The NAEP Primer
R-naflex0.1.0-lp156.1.1Flexible Options for Handling Missing Values
R-naivebayes1.0.0-lp156.2.1High Performance Implementation of the Naive Bayes Algorithm
R-nakagami1.1.0-lp156.1.1Functions for the Nakagami Distribution
R-name0.0.1-lp156.6.1Tools for Working with Names
R-namedCapture2020.4.1-lp156.2.1Named Capture Regular Expressions
R-namedropR2.4.1-lp156.11.1Create Visual Citations for Presentations and Posters
R-NameNeedle1.2.7-lp156.1.1Using Needleman-Wunsch to Match Sample Names
R-namer0.1.8-lp156.2.1Names Your \'R Markdown\' Chunks
R-namespace0.9.1-lp156.2.1Provide namespace managment functions not (yet) present in b
R-naniar1.1.0-lp156.2.1Data Structures, Summaries, and Visualisations for Missing D
R-nanostringr0.4.2-lp156.1.1Performs Quality Control, Data Normalization, and Batch Effe
R-NAP1.1-lp156.1.1Non-Local Alternative Priors in Psychology
R-naptanr1.0.1-lp156.1.1Call the \'NaPTAN\' API Through R
R-naptime1.3.0-lp156.6.1A Flexible and Robust Sys.sleep() Replacement
R-nasadata0.9.0-lp156.14.1Interface to Various NASA API\'s
R-nasapower4.2.1-lp156.2.1NASA POWER API Client
R-nasaweather0.1-lp156.2.1Collection of datasets from the ASA 2006 data expo
R-NasdaqDataLink1.0.0-lp156.1.1API Wrapper for Nasdaq Data Link
R-nat.utils0.6.1-lp156.1.1File System Utility Functions for \'NeuroAnatomy Toolbox\'
R-nationwider1.1.1-lp156.7.1Download House Price Data from Nationwide
R-natmanager0.5.1-lp156.3.1Install the \'Natverse\' Packages from Scratch
R-NatParksPalettes0.2.0-lp156.3.1Color Palettes Inspired by National Parks
R-natserv1.0.0-lp156.10.1\'NatureServe\' Interface
R-naturalsort0.1.3-lp156.2.1Natural Ordering
R-navigatr0.2.1-lp156.1.1Navigation Menu for Pipe-Friendly Data Processing
R-nawtilus0.1.4-lp156.2.1Navigated Weighting for the Inverse Probability Weighting
R-NB0.9-lp156.2.1Maximum Likelihood method in estimating effective population
R-NB.MClust1.1.1-lp156.2.1Negative Binomial Model-Based Clustering
R-NBAloveR0.1.3.3-lp156.15.1Help Basketball Data Analysis
R-nbapalettes0.1.0-lp156.12.1An NBA Jersey Palette Generator
R-NBBDesigns1.1.0-lp156.1.1Neighbour Balanced Block Designs (NBBDesigns)
R-NBBttest1.0.1-lp156.1.1Negative Binomial Beta t-Test
R-nbc4va1.2-lp156.7.1Bayes Classifier for Verbal Autopsy Data
R-NbClust3.0.1-lp156.1.1Determining the Best Number of Clusters in a Data Set
R-nbconv1.0.1-lp156.1.1Evaluate Arbitrary Negative Binomial Convolutions
R-nbconvertR1.3.2-lp156.2.1Vignette Engine Wrapping Jupyter Notebooks
R-NBDdirichlet1.4-lp156.1.1NBD-Dirichlet Model of Consumer Buying Behavior for Marketin
R-NBDesign2.0.0-lp156.2.1Design and Monitoring of Clinical Trials with Negative Binom
R-nberwp1.2.0-lp156.1.1NBER Working Papers
R-NBLDA1.0.1-lp156.6.1Negative Binomial Linear Discriminant Analysis
R-nblR0.0.4-lp156.1.1Data Extraction of Australian NBL Basketball Statistics
R-NBR0.1.5-lp156.1.1Network-Based R-Statistics using Mixed Effects Models
R-ncar0.5.0-lp156.1.1Noncompartmental Analysis for Pharmacokinetic Report
R-ncbit2013.03.29.1-lp156.1.1Retrieve and Build NBCI Taxonomic Data
R-ncdf4.helpers0.3.6-lp156.1.1Helper Functions for Use with the \'ncdf4\' Package
R-ncdump0.0.3-lp156.7.1Extract Metadata from \'NetCDF\' Files as Data Frames
R-nCDunnett1.1.0-lp156.2.1Noncentral Dunnett\'s Test Distribution
R-ncf1.3.2-lp156.1.1Spatial Covariance Functions
R-ncg0.1.1-lp156.2.1Computes the noncentral gamma function
R-ncmeta0.4.0-lp156.2.1Straightforward \'NetCDF\' Metadata
R-NCmisc1.2.0-lp156.1.1Miscellaneous Functions for Creating Adaptive Functions and
R-ncodeR0.2.0.1-lp156.6.1Techniques for Automated Classifiers
R-nCopula0.1.1-lp156.5.1Hierarchical Archimedean Copulas Constructed with Multivaria
R-nCov20190.4.6-lp156.1.1Exploring \'COVID\'-19 Statistics
R-NCSampling1.0-lp156.2.1Nearest Centroid (NC) Sampling
R-NCSCopula1.0.1-lp156.2.1Non-Central Squared Copula Models Estimation
R-ndtv0.13.3-lp156.3.1Network Dynamic Temporal Visualizations
R-ndvtest1.0.0-lp156.2.1Shi\'s Non Degenerate Vuong Test
R-neariso1.0.1-lp156.2.1Near-Isotonic Regression
R-neat1.2.4-lp156.2.1Efficient Network Enrichment Analysis Test
R-neatR0.2.0-lp156.1.1Neat Data for Presentation
R-Necklaces1.0-lp156.1.1Necklaces and Bracelets
R-needmining0.1.1-lp156.15.1A Simple Needmining Implementation
R-needs0.0.3-lp156.2.1Attaches and Installs Packages
R-needy0.2-lp156.2.1needy
R-NEff1.1-lp156.3.1Calculating Effective Sizes Based on Known Demographic Param
R-NegativeControlOutcomeAdjustment0.0.6-lp156.1.1Estimation of Vaccine Efficacy using Negative Control Outcom
R-NegBinBetaBinreg1.0-lp156.2.1Negative Binomial and Beta Binomial Bayesian Regression Mode
R-negenes1.0.12-lp156.2.1Estimating the number of essential genes in a genome
R-neighbours0.1.3-lp156.1.1Neighbourhood Functions for Local-Search Algorithms
R-neighbr1.0.3-lp156.2.1Classification, Regression, Clustering with K Nearest Neighb
R-neldermead1.0.12-lp156.1.1R Port of the \'Scilab\' Neldermead Module
R-nemtr0.0.1.0-lp156.4.1Nonparametric Extended Median Test - Cumulative Summation Me
R-neo2R2.4.2-lp156.1.1Neo4j to R
R-neo4r0.1.1-lp156.21.1A \'Neo4J\' Driver
R-neonOS1.1.0-lp156.1.1Basic Data Wrangling for NEON Observational Data
R-neonSoilFlux1.0.0-lp156.2.1Compute Soil Carbon Fluxes for the National Ecological Obser
R-neonstore0.5.1-lp156.2.1NEON Data Store
R-neonUtilities2.4.2-lp156.2.1Utilities for Working with NEON Data
R-nephro1.4-lp156.1.1Utilities for Nephrology
R-NEpiC1.0.1-lp156.18.1Network Assisted Algorithm for Epigenetic Studies Using Mean
R-nestcolor0.1.2-lp156.1.1Colors for NEST Graphs
R-NestedCohort1.1.3-lp156.1.1Survival Analysis for Cohorts with Missing Covariate Informa
R-nestedpp0.2.0-lp156.2.1Performance Profiles and Nested Performance Profiles
R-nestfs1.0.3-lp156.2.1Cross-Validated (Nested) Forward Selection
R-nestr0.1.2-lp156.4.1Build Nesting or Hierarchical Structures
R-NetCluster0.2-lp156.12.1Clustering for networks
R-netCoin2.0.48-lp156.2.1Interactive Analytic Networks
R-NetComp1.6-lp156.2.1Network Generation and Comparison
R-NetDA0.2.0-lp156.1.1Network-Based Discriminant Analysis Subject to Multi-Label C
R-NetData0.3-lp156.2.1Network Data for McFarland\'s SNA R labs
R-netdep0.1.0-lp156.2.1Testing for Network Dependence
R-NetExplorer0.0.2-lp156.1.1Network Explorer
R-netgen1.3.2-lp156.14.1Network Generator for Combinatorial Graph Problems
R-netie1.0-lp156.1.1Antigen T Cell Interaction Estimation
R-NetIndices1.4.4.1-lp156.1.1Estimating Network Indices, Including Trophic Structure of F
R-NetInt1.0.0-lp156.1.1Methods for Unweighted and Weighted Network Integration
R-netjack1.2.0-lp156.10.1Tools for Working with Samples of Networks
R-NetLogoR1.0.5-lp156.1.1Build and Run Spatially Explicit Agent-Based Models
R-netregR1.0.1-lp156.2.1Regression of Network Responses
R-nets0.9.1-lp156.7.1Network Estimation for Time Series
R-netseer0.1.0-lp156.2.1Graph Prediction from a Graph Time Series
R-netseg1.0.2-lp156.3.1Measures of Network Segregation and Homophily
R-netstat0.1.2-lp156.1.1Retrieve Network Statistics Including Available TCP Ports
R-NetSwan0.1-lp156.7.1Network Strengths and Weaknesses Analysis
R-nettskjemar0.1.4-lp156.11.1Connect to the \'nettskjema.no\' API of the University of Os
R-NetWeaver0.0.6-lp156.2.1Graphic Presentation of Complex Genomic and Network Data Ana
R-network1.18.2-lp156.1.1Classes for Relational Data
R-networkABC0.8.1-lp156.2.1Network Reverse Engineering with Approximate Bayesian Comput
R-networkDynamic0.11.4-lp156.1.1Dynamic Extensions for Network Objects
R-networkDynamicData0.2.1-lp156.12.1Dynamic (Longitudinal) Network Datasets
R-NetworkExtinction1.0.3-lp156.5.1Extinction Simulation in Ecological Networks
R-networkGen0.1.1-lp156.7.1Network Maze Generator
R-networkLite1.0.5-lp156.1.1An Simplified Implementation of the \'network\' Package Func
R-networkreporting0.1.1-lp156.13.1Tools for using Network Reporting Estimators
R-NetworkRiskMeasures0.1.4-lp156.16.1Risk Measures for (Financial) Networks
R-NetworkSim0.1.0-lp156.4.1Network Comparison Based on Structural Equivalence and Graph
R-networksis2.1.3-lp156.8.1Simulate bipartite graphs with fixed marginals through seque
R-neural1.4.2.2-lp156.2.1Neural Networks
R-neuralGAM1.1.1-lp156.2.1Interpretable Neural Network Based on Generalized Additive M
R-neuralnet1.44.2-lp156.2.1Training of Neural Networks
R-NeuralNetTools1.5.3-lp156.7.1Visualization and Analysis Tools for Neural Networks
R-neurobase1.32.4-lp156.2.1\'Neuroconductor\' Base Package with Helper Functions for \'
R-neuroblastoma2023.9.3-lp156.1.1Neuroblastoma Copy Number Profiles
R-NeuroDecodeR0.2.0-lp156.2.1Decode Information from Neural Activity
R-neurohcp0.9.0-lp156.4.1Human \'Connectome\' Project Interface
R-neuromplex1.0.1-lp156.10.1Neural Multiplexing Analysis
R-neuRosim0.2.14-lp156.1.1Simulate fMRI Data
R-neverhpfilter0.4.0-lp156.1.1An Alternative to the Hodrick-Prescott Filter
R-new.dist0.1.1-lp156.1.1Alternative Continuous and Discrete Distributions
R-Newdistns2.1-lp156.2.1Computes Pdf, Cdf, Quantile and Random Numbers, Measures of
R-newFocus1.1-lp156.2.1True Discovery Guarantee by Combining Partial Closed Testing
R-NewmanOmics1.0.11-lp156.2.1Extending the Newman Studentized Range Statistic to Transcri
R-newscatcheR0.1.2-lp156.1.1Programmatically Collect Normalized News from (Almost) Any W
R-newsmd0.5.1-lp156.1.1Creation of NEWS.md File
R-newTestSurvRec1.0.2-lp156.2.1Statistical Tests to Compare Curves with Recurrent Events
R-nFCA0.3-lp156.2.1Numerical Formal Concept Analysis for Systematic Clustering
R-NFCP1.2.1-lp156.1.1N-Factor Commodity Pricing Through Term Structure Estimation
R-nfer1.1.3-lp156.1.1Event Stream Abstraction using Interval Logic
R-nfl4th1.0.4-lp156.2.1Functions to Calculate Optimal Fourth Down Decisions in the
R-nflfastR4.6.1-lp156.1.1Functions to Efficiently Access NFL Play by Play Data
R-nflplotR1.2.0-lp156.1.1NFL Logo Plots in \'ggplot2\'
R-nflseedR1.2.0-lp156.4.1Functions to Efficiently Simulate and Evaluate NFL Seasons
R-NFLSimulatoR0.4.0-lp156.8.1Simulating Plays and Drives in the NFL
R-nflverse1.0.3-lp156.2.1Easily Install and Load the \'nflverse\'
R-nFunNN1.0-lp156.2.1Nonlinear Functional Principal Component Analysis using Neur
R-NFWdist0.1.0-lp156.2.1The Standard Distribution Functions for the 3D NFW Profile
R-ngboostForecast0.1.1-lp156.6.1Probabilistic Time Series Forecasting
R-ngram3.2.3-lp156.1.1Fast n-Gram \'Tokenization\'
R-ngramr1.9.3-lp156.4.1Retrieve and Plot Google n-Gram Data
R-ngramrr0.2.0-lp156.4.1A Simple General Purpose N-Gram Tokenizer
R-NHANES2.1.0-lp156.2.1Data from the US National Health and Nutrition Examination S
R-nhanesA1.1-lp156.2.1NHANES Data Retrieval
R-nhdplusTools1.2.1-lp156.1.1NHDPlus Tools
R-nhds1.0.3-lp156.2.1National Hospital Discharge Survey 2010 Data
R-nhlapi0.1.4-lp156.1.1A Minimum-Dependency \'R\' Interface to the \'NHL\' API
R-NHLData1.0.0-lp156.2.1Scores for Every Season Since the Founding of the NHL in 191
R-nhlscrape0.1.3-lp156.11.1Scrapes the \'NHL\' API for Statistical Analysis
R-nhm0.1.1-lp156.1.1Non-Homogeneous Markov and Hidden Markov Multistate Models
R-NHMSAR1.19-lp156.1.1Non-Homogeneous Markov Switching Autoregressive Models
R-nhs.predict1.4.0-lp156.2.1Breast Cancer Survival and Therapy Benefits
R-NHSDataDictionaRy1.2.5-lp156.10.1NHS Data Dictionary Toolset for NHS Lookups
R-nhsnumber0.1.2-lp156.1.1Tools for Working with NHS Number Checksums
R-NHSRdatasets0.3.0-lp156.8.1NHS and Healthcare-Related Data for Education and Training
R-NHSRplotthedots0.1.0-lp156.9.1Draw XmR Charts for NHSE/I \'Making Data Count\' Programme
R-nhstplot1.3.0-lp156.2.1Plot Null Hypothesis Significance Tests
R-niarules0.1.0-lp156.2.1Numerical Association Rule Mining using Population-Based Nat
R-nic0.0.2-lp156.1.1Nature Inspired Colours
R-nice0.4.2-lp156.1.1Get or Set UNIX Niceness
R-nicheROVER1.1.2-lp156.1.1Niche Region and Niche Overlap Metrics for Multidimensional
R-nichetools0.2.0-lp156.1.1Complementary Package to \'nicheROVER\' and \'SIBER\'
R-nieve0.1.3-lp156.1.1Miscellaneous Utilities for Extreme Value Analysis
R-nifti.io1.0.0-lp156.1.1Read and Write NIfTI Files
R-NightDay1.0.1.1-lp156.2.1Night and Day Boundary Plot Function
R-nightmares0.0.2-lp156.5.1Common Analysis with Remote Sensing Data
R-nilde1.1.7-lp156.1.1Nonnegative Integer Solutions of Linear Diophantine Equation
R-NiLeDAM0.3-lp156.4.1Monazite Dating for the NiLeDAM Team
R-nima0.6.2-lp156.18.1Nima Hejazi\'s R Toolbox
R-nimbleAPT1.0.6-lp156.2.1Adaptive Parallel Tempering for \'NIMBLE\'
R-nimbleNoBounds1.0.3-lp156.1.1Transformed Distributions for Improved MCMC Efficiency
R-nimbleSCR0.2.1-lp156.7.1Spatial Capture-Recapture (SCR) Methods Using \'nimble\'
R-nimbleSMC0.11.1-lp156.1.1Sequential Monte Carlo Methods for \'nimble\'
R-nipals0.8-lp156.1.1Principal Components Analysis using NIPALS or Weighted EMPCA
R-nipnTK0.2.0-lp156.2.1National Information Platforms for Nutrition Anthropometric
R-NIRStat1.1-lp156.14.1Novel Statistical Methods for Studying Near-Infrared Spectro
R-NISTnls0.9.13-lp156.2.1Nonlinear least squares examples from NIST
R-NISTunits1.0.1-lp156.2.1Fundamental Physical Constants and Unit Conversions from NIS
R-nitrcbot1.2-lp156.9.1Download Image Files from the \'NeuroImaging Tools and Resou
R-nivm0.5-lp156.1.1Noninferiority Tests with Variable Margins
R-nixmass1.0.2-lp156.5.1Snow Water Equivalent Modeling with the \'Delta.snow\' Model
R-nJira0.1.1-lp156.4.1SQL Like Query Interface for \'Jira\'
R-njtr10.3.2-lp156.7.1Download, Analyze & Clean New Jersey Car Crash Data
R-nlaR0.4.1-lp156.1.1Interface to the National Lakes Assessment
R-NlcOptim0.6-lp156.2.1Solve Nonlinear Optimization with Nonlinear Constraints
R-nleqslv3.3.5-lp156.1.1Solve Systems of Nonlinear Equations
R-nlgeocoder0.1.3-lp156.2.1Geocoding for the Netherlands
R-nlirms3.4.4-lp156.2.1Non-Life Insurance Rate-Making System
R-nlist0.3.3-lp156.6.1Lists of Numeric Atomic Objects
R-nlmeODE1.1-lp156.2.1Non-linear mixed-effects modelling in nlme using differentia
R-nlmeU0.70.9-lp156.1.1Datasets and Utility Functions Enhancing Functionality of \'
R-nlmixr2data2.0.9-lp156.1.1Nonlinear Mixed Effects Models in Population PK/PD, Data
R-nlmrt2016.3.2-lp156.2.1Functions for Nonlinear Least Squares Solutions
R-nlMS1.1-lp156.2.1Non-Linear Model Selection
R-nlnet1.4-lp156.8.1Nonlinear Network, Clustering, and Variable Selection Based
R-nlopt0.1.1-lp156.2.1Call Optimization Solvers with .nl Files
R-NLPclient1.0-lp156.3.1Stanford \'CoreNLP\' Annotation Client
R-nlreg1.2.2.2-lp156.2.1Higher Order Inference for Nonlinear Heteroscedastic Models
R-NLRoot1.0-lp156.2.1searching for the root of equation
R-nls.multstart1.3.0-lp156.2.1Robust Non-Linear Regression using AIC Scores
R-nlsem0.8.1-lp156.1.1Fitting Structural Equation Mixture Models
R-nlshelper0.2-lp156.17.1Convenient Functions for Non-Linear Regression
R-nlshrink1.0.1-lp156.11.1Non-Linear Shrinkage Estimation of Population Eigenvalues an
R-nlsic1.0.4-lp156.1.1Non Linear Least Squares with Inequality Constraints
R-nlsMicrobio1.0.0-lp156.1.1Nonlinear Regression in Predictive Microbiology
R-nlsmsn0.0.6-lp156.1.1Fitting Nonlinear Models with Scale Mixture of Skew-Normal D
R-nlsr2023.8.31-lp156.1.1Functions for Nonlinear Least Squares Solutions - Updated 20
R-nlsrk1.1-lp156.2.1Runge-Kutta Solver for Function nls()
R-nlstac0.2.0-lp156.2.1An R Package for Fitting Separable Nonlinear Models
R-nlstimedist2.0.0-lp156.8.1Non-Linear Model Fitting of Time Distribution of Biological
R-nlstools2.1.0-lp156.1.1Tools for Nonlinear Regression Analysis
R-nlt2.2.1-lp156.2.1A nondecimated lifting transform for signal denoising
R-nltm1.4.5-lp156.1.1Non-Linear Transformation Models
R-nlts1.0.2-lp156.2.1Nonlinear Time Series Analysis
R-nLTT1.4.9-lp156.1.1Calculate the NLTT Statistic
R-nlWaldTest1.1.3-lp156.2.1Wald Test of Nonlinear Restrictions and Nonlinear CI
R-NMA1.4.3-lp156.2.1Network Meta-Analysis Based on Multivariate Meta-Analysis Mo
R-nmaINLA1.1.0-lp156.1.1Network Meta-Analysis using Integrated Nested Laplace Approx
R-nmaplateplot1.0.2-lp156.2.1The Plate Plot for Network Meta-Analysis Results
R-nmathresh0.1.6-lp156.14.1Thresholds and Invariant Intervals for Network Meta-Analysis
R-nmfbin0.2.1-lp156.1.1Non-Negative Matrix Factorization for Binary Data
R-NMFN2.0.1-lp156.1.1Non-Negative Matrix Factorization
R-NMI2.0-lp156.2.1Normalized Mutual Information of Community Structure in Netw
R-Nmisc0.3.7-lp156.11.1Miscellaneous Functions Used at \'Numeract LLC\'
R-Nmix2.0.5-lp156.1.1Bayesian Inference on Univariate Normal Mixtures
R-NMMIPW0.1.0-lp156.12.1Inverse Probability Weighting under Non-Monotone Missing
R-NMOF2.8.0-lp156.1.1Numerical Methods and Optimization in Finance
R-NMTox0.1.0-lp156.2.1Dose-Response Relationship Analysis of Nanomaterial Toxicity
R-NMVANOVA1.1.0-lp156.2.1Novice Model Variation ANOVA
R-nmw0.1.5-lp156.1.1Understanding Nonlinear Mixed Effects Modeling for Populatio
R-nna0.0.2.1-lp156.2.1Nearest-Neighbor Analysis
R-nncc2.0.0-lp156.1.1Nearest Neighbors Matching of Case-Control Data
R-nndiagram1.0.0-lp156.1.1Generator of \'LaTeX\' Code for Drawing Neural Network Diagr
R-nnet7.3.19-lp156.1.1Feed-Forward Neural Networks and Multinomial Log-Linear Mode
R-nnetpredint1.2-lp156.2.1Prediction Intervals of Multi-Layer Neural Networks
R-nnlasso0.3-lp156.2.1Non-Negative Lasso and Elastic Net Penalized Generalized Lin
R-nnls1.5-lp156.1.1The Lawson-Hanson algorithm for non-negative least squares (
R-NNMIS1.0.1-lp156.2.1Nearest Neighbor Based Multiple Imputation for Survival Data
R-nnR0.1.0-lp156.1.1Neural Networks Made Algebraic
R-nnt0.1.4-lp156.2.1The Number Needed to Treat (NNT) for Survival Endpoint
R-NNTbiomarker0.29.11-lp156.14.1Calculate Design Parameters for Biomarker Validation Studies
R-nnTensor1.3.0-lp156.2.1Non-Negative Tensor Decomposition
R-nntrf0.1.4-lp156.7.1Supervised Data Transformation by Means of Neural Network Hi
R-NO.PING.PONG0.1.8.7-lp156.2.1Incorporating Previous Findings When Evaluating New Data
R-noaaoceans0.3.0-lp156.7.1Collect Ocean Data from NOAA
R-noah0.1.0-lp156.13.1Create Unique Pseudonymous Animal Names
R-nodbi0.4.3-lp156.1.1\'NoSQL\' Database Connector
R-node2vec0.1.0-lp156.15.1Algorithmic Framework for Representational Learning on Graph
R-nodeHarvest0.7.3-lp156.2.1Node Harvest for Regression and Classification
R-nodiv1.4.2-lp156.2.1Compares the Distribution of Sister Clades Through a Phyloge
R-nofrills0.3.2-lp156.2.1Low-Cost Anonymous Functions
R-noia0.97.3-lp156.1.1Implementation of the Natural and Orthogonal InterAction (NO
R-noisyCE21.1.0-lp156.2.1Cross-Entropy Optimisation of Noisy Functions
R-noisySBM0.1.4-lp156.12.1Noisy Stochastic Block Mode: Graph Inference by Multiple Tes
R-nolock1.1.0-lp156.2.1Append \'WITH (NOLOCK)\' to \'SQL\' Queries, Get Packages in
R-nombre0.4.1-lp156.2.1Number Names
R-NominalLogisticBiplot0.2-lp156.4.1Biplot representations of categorical data
R-nomisr0.4.7-lp156.8.1Access \'Nomis\' UK Labour Market Data
R-nomordR0.1-lp156.1.1Randomization Test for Sequences of Nominal Values
R-NonCompart0.7.0-lp156.1.1Noncompartmental Analysis for Pharmacokinetic Data
R-nonLinearDotPlot0.5.0-lp156.1.1Non Linear Dot Plots
R-nonmemica1.0.8-lp156.2.1Create and Evaluate NONMEM Models in a Project Context
R-NonNorMvtDist1.0.2-lp156.3.1Multivariate Lomax (Pareto Type II) and Its Related Distribu
R-nonpar1.0.2-lp156.2.1A Collection of Nonparametric Hypothesis Tests
R-nonparametric.bayes0.0.1-lp156.5.1Project Code - Nonparametric Bayes
R-NonParRolCor0.8.0-lp156.3.1a Non-Parametric Statistical Significance Test for Rolling W
R-nontarget1.9-lp156.2.1Detecting Isotope, Adduct and Homologue Relations in LC-MS D
R-nontargetData1.1-lp156.2.1Quantized simulation data of isotope pattern centroids
R-nor1mix1.3.3-lp156.2.1Normal aka Gaussian 1-d Mixture Models
R-nord1.0.0-lp156.14.1Arctic Ice Studio\'s Nord and Group of Seven Inspired Colour
R-nordklimdata11.2-lp156.2.1Dataset for Climate Analysis with Data from the Nordic Regio
R-norgeo2.3.1-lp156.2.1Tracking Geo Code Change of Regional Granularity in Norway
R-norm1.0.11.1-lp156.1.1Analysis of multivariate normal datasets with missing values
R-norm22.0.4-lp156.1.1Analysis of Incomplete Multivariate Data under a Normal Mode
R-NORMA0.1-lp156.2.1Builds General Noise SVRs
R-NormalGamma1.1-lp156.2.1Normal-gamma convolution model
R-normaliseR0.1.2-lp156.2.1Re-Scale Vectors and Time-Series Features
R-normalize0.1.0-lp156.1.1Centering and Scaling of Numeric Data
R-normalizeH1.0.0-lp156.1.1Normalize Hadamard Matrix
R-NormalLaplace0.3.1-lp156.1.1The Normal Laplace Distribution
R-normalp0.7.2.1-lp156.1.1Routines for Exponential Power Distribution
R-normalr1.0.0-lp156.13.1Normalisation of Multiple Variables in Large-Scale Datasets
R-NormExpression0.1.1-lp156.2.1Normalize Gene Expression Data using Evaluated Methods
R-normfluodbf1.4.3-lp156.1.1Cleans and Normalizes \'FLUOstar\' \'DBF\' Files
R-NormPsy1.0.8-lp156.6.1Normalisation of Psychometric Tests
R-NORMT31.0.4-lp156.1.1Evaluates Complex Erf, Erfc, Faddeeva, and Density of Sum of
R-normtest1.1-lp156.2.1Tests for Normality
R-normwhn.test1.0-lp156.2.1Normality and White Noise Testing
R-nortest1.0.4-lp156.2.1Tests for Normality
R-nortestARMA1.0.2-lp156.2.1Neyman Smooth Tests of Normality for the Errors of ARMA Mode
R-nortsTest1.1.2-lp156.2.1Assessing Normality of Stationary Process
R-nos2.0.0-lp156.2.1Compute Node Overlap and Segregation in Ecological Networks
R-nose1.0-lp156.2.1nose Package for R
R-nosoi1.1.2-lp156.1.1A Forward Agent-Based Transmission Chain Simulator
R-NostalgiR1.0.2-lp156.2.1Advanced Text-Based Plots
R-not1.5-lp156.1.1Narrowest-Over-Threshold Change-Point Detection
R-notebookutils1.5.3-lp156.2.1Dummy R APIs Used in \'Azure Synapse Analytics\' for Local D
R-notifyme0.3.0-lp156.14.1Send Alerts to your Cellphone and Phillips Hue Lights
R-notifyR1.02-lp156.3.1Send push notifications to your smartphone via pushover.net
R-NovelDistns0.1.0-lp156.1.1Computes PDF, CDF, Quantile, Random Numbers and Measures of
R-novelforestSG2.1.0-lp156.1.1Dataset from the Novel Forests of Singapore
R-nowcastDFM1.0.0-lp156.3.1DFMs for Nowcasting
R-noweb1.1.4-lp156.1.1The \'noweb\' System for R
R-Nozzle.R11.1.1.1-lp156.1.1Nozzle Reports
R-nparACT0.8-lp156.15.1Non-Parametric Measures of Actigraphy Data
R-nparcomp3.0-lp156.2.1Multiple Comparisons and Simultaneous Confidence Intervals
R-nparLD2.2-lp156.1.1Nonparametric Analysis of Longitudinal Data in Factorial Exp
R-nparMD0.2.1-lp156.1.1Nonparametric Analysis of Multivariate Data in Factorial Des
R-nparsurv0.1.0-lp156.2.1Nonparametric Tests for Main Effects, Simple Effects and Int
R-NPC1.1.0-lp156.8.1Nonparametric Combination of Hypothesis Tests
R-NPCD1.0.11-lp156.2.1Nonparametric Methods for Cognitive Diagnosis
R-npclust0.1.0-lp156.1.1Nonparametric Tests for Incomplete Clustered Data
R-npcopTest1.03-lp156.2.1Non Parametric Test for Detecting Changes in the Copula
R-npcp0.2.5-lp156.1.1Some Nonparametric CUSUM Tests for Change-Point Detection in
R-npcure0.1.5-lp156.2.1Nonparametric Estimation in Mixture Cure Models
R-npde3.5-lp156.1.1Normalised Prediction Distribution Errors for Nonlinear Mixe
R-npDoseResponse0.1-lp156.2.1Nonparametric Estimation and Inference on Dose-Response Curv
R-npExact0.2-lp156.2.1Exact Nonparametric Hypothesis Tests for the Mean, Variance
R-nph2.1-lp156.6.1Planning and Analysing Survival Studies under Non-Proportion
R-NPHazardRate0.1-lp156.2.1Nonparametric Hazard Rate Estimation
R-NPHMC2.3-lp156.1.1Sample Size Calculation for the Proportional Hazards Mixture
R-nphPower1.1.0-lp156.2.1Sample Size Calculation under Non-Proportional Hazards
R-npi0.2.0-lp156.6.1Access the U.S. National Provider Identifier Registry API
R-NPIstats0.1.0-lp156.11.1Nonparametric Predictive Inference
R-nplplot4.7-lp156.1.1Plotting Linkage and Association Results
R-nplr0.1.7-lp156.2.1N-Parameter Logistic Regression
R-nplyr0.2.0-lp156.2.1A Grammar of Nested Data Manipulation
R-npm1.0.0-lp156.2.1Interact with \'NPM\'
R-npmlda1.0.0-lp156.2.1Nonparametric Models for Longitudinal Data
R-NPMLEcmprsk3.0-lp156.2.1Type-Specific Failure Rate and Hazard Rate on Competing Risk
R-NPMLENCC1.0-lp156.2.1Non-Parametric Maximum Likelihood Estimate for Cohort Sampli
R-npmlreg0.46.5-lp156.2.1Nonparametric Maximum Likelihood Estimation for Random Effec
R-npmr1.3.1-lp156.1.1Nuclear Penalized Multinomial Regression
R-npmv2.4.0-lp156.2.1Nonparametric Comparison of Multivariate Samples
R-NPMVCP1.1-lp156.2.1Nonparametric Multivariate Change Point Model
R-npordtests1.2-lp156.2.1Nonparametric Tests for Equality of Location Against Ordered
R-NPP0.6.0-lp156.1.1Normalized Power Prior Bayesian Analysis
R-nppbib1.2.0-lp156.2.1Nonparametric Partially-Balanced Incomplete Block Design Ana
R-npphen2.0.0-lp156.2.1Vegetation Phenological Cycle and Anomaly Detection using Re
R-npreg1.1.0-lp156.2.1Nonparametric Regression via Smoothing Splines
R-npregderiv1.0-lp156.2.1Nonparametric Estimation of the Derivatives of a Regression
R-npregfast1.5.2-lp156.7.1Nonparametric Estimation of Regression Models with Factor-by
R-npROCRegression1.0.7-lp156.1.1Kernel-Based Nonparametric ROC Regression Modelling
R-nprotreg1.1.1-lp156.1.1Nonparametric Rotations for Sphere-Sphere Regression
R-NPS1.1-lp156.2.1Convenience Functions and Tests for Working With the Net Pro
R-npsf0.8.0-lp156.3.1Nonparametric and Stochastic Efficiency and Productivity Ana
R-NPsimex0.2.1-lp156.2.1Nonparametric Smoothing for contaminated data using Simulati
R-npsm2.0.0-lp156.2.1Nonparametric Statistical Methods
R-npsp0.7.13-lp156.1.1Nonparametric Spatial Statistics
R-npsr0.1.1-lp156.2.1Validate Instrumental Variables using NPS
R-npst2.0-lp156.2.1Generalization of Hewitt\'s Seasonality Test
R-npsurv0.5.0-lp156.2.1Nonparametric Survival Analysis
R-npsurvSS1.1.0-lp156.2.1Sample Size and Power Calculation for Common Non-Parametric
R-nptest1.1-lp156.1.1Nonparametric Bootstrap and Permutation Tests
R-npwbs0.2.0-lp156.1.1Nonparametric Multiple Change Point Detection Using WBS
R-nrba0.3.1-lp156.4.1Methods for Conducting Nonresponse Bias Analysis (NRBA)
R-nRegression0.5.1-lp156.1.1Simulation-Based Calculations of Sample Size for Linear and
R-NRejections1.2.0-lp156.3.1Metrics for Multiple Testing with Correlated Outcomes
R-nricens1.6-lp156.2.1NRI for Risk Prediction Models with Time to Event and Binary
R-NSAE0.4.0-lp156.2.1Nonstationary Small Area Estimation
R-nsapi0.1.1-lp156.3.1Connect to the NS (Dutch Railways) API
R-nsarfima0.2.0.0-lp156.2.1Methods for Fitting and Simulating Non-Stationary ARFIMA Mod
R-nscancor0.7.0.6-lp156.1.1Non-Negative and Sparse CCA
R-NScluster1.3.6.1-lp156.1.1Simulation and Estimation of the Neyman-Scott Type Spatial C
R-nsdr0.1.1-lp156.1.1Nonlinear Sufficient Dimension Reduction
R-nse2r0.1.6-lp156.6.1Fetch Data from \'National Stock Exchange (India)\'
R-nseq0.1.1-lp156.2.1Count of Sequential Events
R-nseval0.5.1-lp156.1.1Tools for Lazy and Non-Standard Evaluation
R-nsga2R1.1-lp156.1.1Elitist Non-Dominated Sorting Genetic Algorithm
R-nsga30.0.3-lp156.18.1An Implementation of Non-Dominated Sorting Genetic Algorithm
R-nsgp1.0.5-lp156.2.1Non-Stationary Gaussian Process Regression
R-nsm3data0.1-lp156.1.1Datasets to Accompany Hollander, Wolfe, and Chicken NSM3
R-NSO12121.4.0-lp156.1.1National Statistical Office of Mongolia\'s Open Data API Han
R-nsp1.0.0-lp156.1.1Inference for Multiple Change-Points in Linear Models
R-nspmix1.5.0-lp156.2.1Nonparametric and Semiparametric Mixture Estimation
R-nsprcomp0.5.1.2-lp156.2.1Non-Negative and Sparse PCA
R-nsRFA0.7.17-lp156.2.1Non-Supervised Regional Frequency Analysis
R-nsROC1.1-lp156.17.1Non-Standard ROC Curve Analysis
R-nsrr0.2.0-lp156.3.1Interface to National Sleep Research Resource
R-nsyllable1.0.1-lp156.1.1Count Syllables in Character Vectors
R-ntdr0.3.4-lp156.2.1Retrieve Data from the National Transit Database
R-NTLKwIEx0.1.0-lp156.1.1Computation of NTLKwIEx Distribution Properties
R-ntranova0.0.1-lp156.2.1Two Way Neutrosophic ANOVA
R-NTS1.1.3-lp156.1.1Nonlinear Time Series Analysis
R-ntsDists2.1.1-lp156.2.1Neutrosophic Distributions
R-NTSS0.1.3-lp156.1.1Nonparametric Tests in Spatial Statistics
R-NU.Learning1.5-lp156.1.1Nonparametric and Unsupervised Learning from Cross-Sectional
R-NUCOMBog1.0.4.2-lp156.2.1NUtrient Cycling and COMpetition Model Undisturbed Open Bog
R-NUETON0.1.0-lp156.1.1Nitrogen Use Efficiency Toolkit on Numerics
R-numberize1.0.0-lp156.1.1Convert Words to Numbers in Multiple Languages
R-numbers0.8.5-lp156.1.1Number-Theoretic Functions
R-numbersBR0.0.2-lp156.7.1Validate, Compare and Format Identification Numbers from Bra
R-numDeriv2016.8.1.1-lp156.2.1Accurate Numerical Derivatives
R-numform0.7.0-lp156.1.1Tools to Format Numbers for Publication
R-numGen0.1.1-lp156.2.1Number Series Generator
R-numKM0.2.0-lp156.2.1Create a Kaplan-Meier Plot with Numbers at Risk
R-numOSL2.8-lp156.1.1Numeric Routines for Optically Stimulated Luminescence Datin
R-NutrienTrackeR1.3.0-lp156.3.1Food Composition Information and Dietary Assessment
R-nutrition1.1.0-lp156.1.1Useful Functions for People on a Diet
R-NVAR0.1.0-lp156.1.1Nonlinear Vector Autoregression Models
R-nvctr0.1.4-lp156.2.1The n-vector Approach to Geographical Position Calculations
R-nvmix0.1.1-lp156.2.1Multivariate Normal Variance Mixtures
R-nws1.7.0.1-lp156.2.1R functions for NetWorkSpaces and Sleigh
R-nycflights131.0.2-lp156.6.1Flights that Departed NYC in 2013
R-nycflights230.1.0-lp156.2.1Flights and Other Useful Metadata for NYC Outbound Flights i
R-nzelect0.4.0-lp156.2.1New Zealand Election Data
R-nzffdr2.1.0-lp156.4.1Import, Clean and Update Data from the New Zealand Freshwate
R-nzilbb.labbcat1.3.0-lp156.2.1Accessing Data Stored in \'LaBB-CAT\' Instances
R-nzpullover0.3.0-lp156.2.1Driving Offences in New Zealand Between 2009 and 2016
R-oaColors0.0.4-lp156.2.1OpenAnalytics Colors Package
R-oai0.4.0-lp156.4.1General Purpose \'Oai-PMH\' Services Client
R-OAIHarvester0.3.4-lp156.2.1Harvest Metadata Using OAI-PMH Version 2.0
R-oaii0.5.0-lp156.2.1\'OpenAI\' API R Interface
R-oaPlots0.0.25-lp156.14.1OpenAnalytics Plots Package
R-Oarray1.4.9-lp156.2.1Arrays with arbitrary offsets
R-OasisR3.1.0-lp156.1.1Outright Tool for the Analysis of Spatial Inequalities and S
R-oaxaca0.1.5-lp156.7.1Blinder-Oaxaca Decomposition
R-obAnalytics0.1.1-lp156.15.1Limit Order Book Analytics
R-OBASpatial1.9-lp156.2.1Objective Bayesian Analysis for Spatial Regression Models
R-obcost0.1.0-lp156.4.1Obesity Cost Database
R-objectProperties0.6.8-lp156.1.1A Factory of Self-Describing Properties
R-objectremover0.8.1-lp156.10.1\'RStudio\' Addin for Removing Objects from the Global Envir
R-objectSignals0.10.3-lp156.1.1Observer Pattern for S4
R-OBL0.2.1-lp156.6.1Optimum Block Length
R-oblicubes0.1.2-lp156.1.13D Rendering Using Obliquely Projected Cubes and Cuboids
R-obliqueRF0.3-lp156.2.1Oblique Random Forests from Recursive Linear Model Splits
R-OBMbpkg1.0.0-lp156.2.1Estimate the Population Size for the Mb Capture-Recapture Mo
R-OBRE0.2.0-lp156.1.1Optimal B-Robust Estimator Tools
R-obs.agree1.0-lp156.2.1An R package to assess agreement between observers.
R-Observation0.3.0-lp156.1.1Collect and Process Physical Activity Direct Observation Dat
R-observer0.1.2-lp156.15.1Observe and Check your Data
R-obsSens1.4-lp156.1.1Sensitivity Analysis for Observational Studies
R-oc1.2.1-lp156.1.1Optimal Classification Roll Call Analysis Software
R-OCA0.5-lp156.1.1Optimal Capital Allocations
R-occupancy1.2-lp156.1.1Probability Functions for Occupancy Distributions
R-ocd1.1-lp156.2.1High-Dimensional Multiscale Online Changepoint Detection
R-oceanwaves0.2.0-lp156.7.1Ocean Wave Statistics
R-oceCens0.1.2-lp156.1.1Ordered Composite Endpoints with Censoring
R-ocedata0.2.2-lp156.1.1Oceanographic Data Sets for \'oce\' Package
R-ockc1.1-lp156.2.1Order Constrained Solutions in k-Means Clustering
R-oclust0.2.0-lp156.1.1Gaussian Model-Based Clustering with Outliers
R-ocomposition1.1-lp156.3.1Regression for Rank-Indexed Compositional Data
R-ocp0.1.1-lp156.2.1Bayesian Online Changepoint Detection
R-ocs4R0.1-lp156.2.1Interface to Open Collaboration Services (OCS) REST API
R-OCSdata1.0.2-lp156.7.1Download Data from the \'Open Case Studies\' Repository
R-octopusR1.0.1-lp156.2.1Interact with the \'Octopus Energy\' API
R-OData0.6-lp156.3.1R Helper for OData Web Services
R-ODataQuery0.5.3-lp156.2.1Querying on \'OData\'
R-odbr0.1.0-lp156.2.1Download Data from Brazil\'s Origin Destination Surveys
R-oddnet0.1.1-lp156.2.1Anomaly Detection in Temporal Networks
R-odds.converter1.4.8-lp156.2.1Betting Odds Conversion
R-odds.n.ends0.1.4-lp156.1.1Odds Ratios, Contingency Table, and Model Significance from
R-oddsapiR0.0.3-lp156.2.1Access Live Sports Odds from the Odds API
R-oddsratio2.0.1-lp156.14.1Odds Ratio Calculation for GAM(M)s & GLM(M)s
R-oddstream0.5.0-lp156.20.1Outlier Detection in Data Streams
R-ODEnetwork1.3.2-lp156.2.1Network of Differential Equations
R-odetector1.0.1-lp156.2.1Outlier Detection Using Partitioning Clustering Algorithms
R-odin1.2.5-lp156.1.1ODE Generation and Integration
R-odk1.5-lp156.8.1Convert \'ODK\' or \'XLSForm\' to \'SPSS\' Data Frame
R-ODMeans0.2.1-lp156.2.1OD-Means: k-Means for Origin-Destination
R-odns1.0.2-lp156.1.1Access Scottish Health and Social Care Open Data
R-odr1.4.4-lp156.1.1Optimal Design and Statistical Power for Experimental Studie
R-ODS0.2.0-lp156.3.1Statistical Methods for Outcome-Dependent Sampling Designs
R-OECD0.2.5-lp156.3.1Search and Extract Data from the OECD
R-OEFPIL0.1.1-lp156.7.1Optimal Estimation of Function Parameters by Iterated Linear
R-oenb0.0.2-lp156.10.1Tools for the OeNB Data Web Service
R-oews20201.0.0-lp156.1.1May 2020 Occupational Employment and Wage Statistics
R-oews20211.0.0-lp156.1.1May 2021 Occupational Employment and Wage Statistics
R-offsetreg1.1.0-lp156.2.1An Extension of \'Tidymodels\' Supporting Offset Terms
R-ofGEM1.0-lp156.3.1A Meta-Analysis Approach with Filtering for Identifying Gene
R-OGI1.0.0-lp156.2.1Objective General Index
R-oglmx3.0.0.0-lp156.3.1Estimation of Ordered Generalized Linear Models
R-OHCSpackage0.1.5-lp156.2.1Prepare Housing Data for Analysis
R-Ohit1.0.0-lp156.2.1OGA+HDIC+Trim and High-Dimensional Linear Regression Models
R-ohtadstats2.1.1-lp156.2.1Tomoka Ohta D Statistics
R-OIdata1.0-lp156.2.1Data sets and supplements (OpenIntro)
R-OjaNP1.0.0-lp156.2.1Multivariate Methods Based on the Oja Median and Related Con
R-ojsr0.1.2-lp156.15.1Crawler and Data Scraper for Open Journal System (\'OJS\')
R-okcupiddata0.1.0-lp156.2.1OkCupid Profile Data for Introductory Statistics and Data Sc
R-okmesonet0.1.5-lp156.2.1Retrieve Oklahoma Mesonet climatological data
R-OkNNE1.0.1-lp156.2.1A k-Nearest Neighbours Ensemble via Optimal Model Selection
R-okxAPI0.1.1-lp156.1.1An Unofficial Wrapper for \'okx exchange v5\' API
R-oldbailey1.1.0-lp156.1.1For Accessing the Old Bailey Open Data
R-ollg1.0.0-lp156.1.1Computes some Measures of OLL-G Family of Distributions
R-ollggamma1.0.2-lp156.2.1Odd Log-Logistic Generalized Gamma Probability Distribution
R-olr1.1-lp156.3.1Optimal Linear Regression
R-OLScurve0.2.0-lp156.2.1OLS growth curve trajectories
R-OLStrajr0.1.0-lp156.3.1Ordinary Least Squares Trajectory Analysis
R-omd1.0-lp156.2.1filter the molecular descriptors for QSAR
R-OmegaG1.0.1-lp156.1.1Omega-Generic: Composite Reliability of Multidimensional Mea
R-OmicKriging1.4.0-lp156.3.1Poly-Omic Prediction of Complex TRaits
R-OmicNavigator1.13.13-lp156.1.1Open-Source Software for \'Omic\' Data Analysis and Visualiz
R-OmicSense0.2.0-lp156.1.1Biosensor Development using Omics Data
R-OmicsPLS2.0.2-lp156.8.1Data Integration with Two-Way Orthogonal Partial Least Squar
R-OmnibusFisher1.0-lp156.8.1A Modified Fisher’s Method to Test Overall Gene-Level Effe
R-omopr0.2-lp156.15.1OMOP CDM Databases using the Tidyverse
R-ompr1.0.4-lp156.1.1Model and Solve Mixed Integer Linear Programs
R-ompr.roi1.0.2-lp156.1.1A Solver for \'ompr\' that Uses the R Optimization Infrastru
R-omsvg0.1.0-lp156.14.1Build and Transform \'SVG\' Objects
R-onadata0.1-lp156.1.1Data Sets for Keith McNulty\'s Handbook of Graphs and Networ
R-OnAge1.0.1-lp156.2.1Test of Between-Group Differences in the Onset of Senescence
R-onbabynames0.0.1-lp156.6.1Names Given to Babies in Ontario Between 1917 and 2018
R-OnboardClient1.0.0-lp156.7.1Bindings for Onboard Data\'s Building Data API
R-once0.4.1-lp156.1.1Execute Expensive Operations Only Once
R-oncomodel1.0-lp156.6.1Maximum likelihood tree models for oncogenesis
R-Oncotree0.3.5-lp156.1.1Estimating Oncogenetic Trees
R-OneArmTTE1.0-lp156.6.1One-Arm Clinical Trial Designs for Time-to-Event Endpoint
R-onehot0.1.1-lp156.2.1Fast Onehot Encoding for Data.frames
R-onemapsgapi1.1.0-lp156.5.1R Wrapper for the \'OneMap.Sg API\'
R-onepass0.1.2-lp156.1.11password Credential Retrieval
R-OneR2.2-lp156.2.1One Rule Machine Learning Classification Algorithm with Enha
R-ONEST0.1.0-lp156.1.1Observers Needed to Evaluate Subjective Tests
R-onetime0.2.0-lp156.1.1Run Code Only Once
R-ONETr1.0.3-lp156.5.1Efficient Authenticated Interaction with the O*NET API
R-OneTwoSamples1.1.0-lp156.1.1Deal with One and Two (Normal) Samples
R-onion1.5.3-lp156.2.1octonions and quaternions
R-onlineCOV1.3-lp156.2.1Online Change Point Detection in High-Dimensional Covariance
R-onlineretail0.1.2-lp156.1.1Online Retail Dataset
R-onls0.1.2-lp156.1.1Orthogonal Nonlinear Least-Squares Regression
R-onnx0.0.3-lp156.6.1R Interface to \'ONNX\'
R-OnomasticDiversity0.1-lp156.1.1Onomastic Diversity Measures
R-onsr1.0.2-lp156.1.1Client for the \'ONS\' API
R-onsvplot0.3.2-lp156.1.1National Road Safety Observatory (ONSV) Style for \'ggplot2\
R-ontologics0.1.0-lp156.1.1Code-Logics to Handle Ontologies
R-ontologyIndex2.12-lp156.1.1Reading Ontologies into R
R-ontophylo1.1.3-lp156.2.1Ontology-Informed Phylogenetic Comparative Analyses
R-OOI0.1.0-lp156.2.1Outside Option Index
R-OOmisc1.2-lp156.2.1Ozgur-Ozlem Miscellaneous
R-oompaBase3.2.9-lp156.2.1Class Unions, Matrix Operations, and Color Schemes for OOMPA
R-oompaData3.1.4-lp156.2.1Data to Illustrate OOMPA Algorithms
R-ooplah0.2.0-lp156.1.1Helper Functions for Class Object-Oriented Programming
R-oops0.2.0-lp156.1.1S3 Style Object Oriented Programming
R-OOR0.1.4-lp156.1.1Optimistic Optimization in R
R-oottest0.9.1-lp156.1.1Out-of-Treatment Testing
R-OpasnetUtils1.3-lp156.7.1Opasnet Modelling Environment Utility Functions
R-OPC0.0.2-lp156.1.1The Online Principal Component Estimation Method
R-opdisDownsampling1.0.1-lp156.2.1Optimal Distribution Preserving Down-Sampling of Bio-Medical
R-OPDOE1.0.10-lp156.2.1Optimal Design of Experiments
R-openadds0.2.0-lp156.13.1Client to Access \'Openaddresses\' Data
R-openai0.4.1-lp156.1.1R Wrapper for OpenAI API
R-openaistream0.3.0-lp156.1.1Streaming Capabilities for \'OpenAI API\' Interactions
R-openbankeR0.1.1-lp156.8.1R Client for Querying the UK \'Open Banking\' (\'Open Data\'
R-openblender0.5.81-lp156.2.1Request API Services
R-opencage0.2.2-lp156.14.1Geocode with the OpenCage API
R-opencastR0.1.3-lp156.1.1\'Opencast\' External API Package
R-OpenCL0.2.10-lp156.1.1Interface allowing R to use OpenCL
R-opendotaR0.1.4-lp156.16.1Interface for OpenDota API
R-openEBGM0.9.1-lp156.1.1EBGM Disproportionality Scores for Adverse Event Data Mining
R-openmetrics0.3.0-lp156.3.1A \'Prometheus\' Client for R Using the \'OpenMetrics\' Form
R-OpenMindat1.0.0-lp156.3.1Quickly Retrieve Datasets from the \'mindat.org\' API
R-OpenML1.12-lp156.3.1Open Machine Learning and Open Data Platform
R-OpenMPController0.2.5-lp156.2.1Control Number of OpenMP Threads Dynamically
R-opensensmapr0.6.0-lp156.2.1Client for the Data API of \'openSenseMap.org\'
R-openSkies0.99.8-lp156.2.1An R Client-Side Interface to the \'OpenSky\' API
R-openSTARS1.2.3-lp156.7.1An Open Source Implementation of the \'ArcGIS\' Toolbox \'ST
R-opentripplanner0.5.2-lp156.2.1Setup and connect to \'OpenTripPlanner\'
R-operator.tools1.6.3-lp156.2.1Utilities for Working with R\'s Operators
R-operators0.1.8-lp156.2.1Additional Binary Operators
R-OPI2.10.1-lp156.1.1Open Perimetry Interface
R-Opportunistic1.2-lp156.2.1Routing Distribution, Broadcasts, Transmissions and Receptio
R-ops1.0-lp156.2.1Optimal Power Space Transformation
R-optAUC1.0-lp156.2.1Optimal Combinations of Diagnostic Tests Based on AUC
R-optband0.2.2-lp156.2.1\'surv\' Object Confidence Bands Optimized by Area
R-optbin1.3-lp156.1.1Optimal Binning of Data
R-optCluster1.3.2-lp156.1.1Determine Optimal Clustering Algorithm and Number of Cluster
R-optedr2.0.0-lp156.7.1Calculating Optimal and D-Augmented Designs
R-optextras2019.12.4-lp156.2.1Tools to Support Optimization Possibly with Bounds and Masks
R-OptGS1.2-lp156.2.1Near-Optimal Group-Sequential Designs for Continuous Outcome
R-OptHedging1.0-lp156.2.1Estimation of value and hedging strategy of call and put opt
R-optical1.7.1-lp156.1.1Optimal Item Calibration
R-opticskxi0.1-lp156.14.1OPTICS K-Xi Density-Based Clustering
R-opticut0.1.3-lp156.2.1Likelihood Based Optimal Partitioning and Indicator Species
R-optifunset1.0-lp156.2.1Set Options if Unset
R-optigrab0.9.2.1-lp156.6.1Command-Line Parsing for an R World
R-optim.functions0.1-lp156.6.1Standard Benchmark Optimization Functions
R-OptimalCutpoints1.1.5-lp156.1.1Computing Optimal Cutpoints in Diagnostic Tests
R-OptimalGoldstandardDesigns1.0.1-lp156.5.1Design Parameter Optimization for Gold-Standard Non-Inferior
R-optimall1.1.1-lp156.2.1Allocate Samples Among Strata
R-OptimalSurrogate1.0-lp156.1.1Model Free Approach to Quantifying Surrogacy
R-OptimalTiming0.1.0-lp156.9.1Optimal Timing Identification
R-optimbase1.0.10-lp156.1.1R Port of the \'Scilab\' Optimbase Module
R-optimg0.1.2-lp156.1.1General-Purpose Gradient-Based Optimization
R-optimizeR0.3.3-lp156.1.1Unified Framework for Numerical Optimizers
R-optimLanduse1.2.1-lp156.1.1Robust Land-Use Optimization
R-OptimModel2.0.1-lp156.2.1Perform Nonlinear Regression Using \'optim\' as the Optimiza
R-optimParallel1.0.2-lp156.1.1Parallel Version of the L-BFGS-B Optimization Method
R-optimr2019.12.16-lp156.3.1A Replacement and Extension of the \'optim\' Function
R-optimsimplex1.0.8-lp156.1.1R Port of the \'Scilab\' Optimsimplex Module
R-optimStrat2.4-lp156.3.1Choosing the Sample Strategy
R-optimx2023.10.21-lp156.4.1Expanded Replacement and Extension of the \'optim\' Function
R-OptInterim3.0.1-lp156.2.1Optimal Two and Three Stage Designs for Single-Arm and Two-A
R-optional2.0.1-lp156.1.1Optional Types and Pattern Matching
R-OptionPricing0.1.2-lp156.1.1Option Pricing with Efficient Simulation Algorithms
R-options0.2.0-lp156.2.1Simple, Consistent Package Options
R-optionstrat1.4.1-lp156.2.1Utilizes the Black-Scholes Option Pricing Model to Perform S
R-optiscale1.2.3-lp156.2.1Optimal Scaling
R-optistock0.0.2-lp156.1.1Determine Optimum Stocking Times Used in Fishery Enhancement
R-optpart3.0.3-lp156.3.1Optimal Partitioning of Similarity Relations
R-optR1.2.5-lp156.2.1Optimization Toolbox for Solving Linear Systems
R-optrees1.0-lp156.2.1Optimal Trees in Weighted Graphs
R-optrefine1.1.0-lp156.1.1Optimally Refine Strata
R-OPTS0.1-lp156.1.1Optimization via Subsampling (OPTS)
R-OptSig2.2-lp156.1.1Optimal Level of Significance for Regression and Other Stati
R-OpVaR1.2-lp156.3.1Statistical Methods for Modelling Operational Risk
R-OralOpioids2.0.3-lp156.2.1Retrieving Oral Opioid Information
R-ORCI1.1-lp156.2.1Several confidence intervals for the odds ratio
R-orclus0.2.6-lp156.2.1Subspace Clustering Based on Arbitrarily Oriented Projected
R-orcutt2.3-lp156.2.1Estimate Procedure in Case of First Order Autocorrelation
R-ordDisp2.1.1-lp156.2.1Separating Location and Dispersion in Ordinal Regression Mod
R-orddom3.1-lp156.2.1Ordinal Dominance Statistics
R-ORDER2PARENT1.0-lp156.2.1Estimate parent distributions with data of several order sta
R-orderbook1.03-lp156.2.1Orderbook visualization/Charting software
R-ordering0.7.0-lp156.2.1Test, Check, Verify, Investigate the Monotonic Properties of
R-orderly1.4.3-lp156.8.1Lightweight Reproducible Reporting
R-orders0.1.8-lp156.1.1Sampling from k-th Order Statistics of New Families of Distr
R-orderstats0.1.0-lp156.2.1Efficiently Generates Random Order Statistic Variables
R-OrdFacReg1.0.6-lp156.2.1Least Squares, Logistic, and Cox-Regression with Ordered Pre
R-ordiBreadth1.0-lp156.2.1Ordinated Diet Breadth
R-ordinalCont2.0.2-lp156.2.1Ordinal Regression Analysis for Continuous Scales
R-ordinalgmifs1.0.8-lp156.1.1Ordinal Regression for High-Dimensional Data
R-ordinalLBM1.0-lp156.6.1Co-Clustering of Ordinal Data via Latent Continuous Random V
R-OrdinalLogisticBiplot0.4-lp156.4.1Biplot representations of ordinal variables
R-ordinalNet2.12-lp156.1.1Penalized Ordinal Regression
R-OrdMonReg1.0.3-lp156.2.1Compute least squares estimates of one bounded or two ordere
R-OrdNor2.2.3-lp156.1.1Concurrent Generation of Ordinal and Normal Data with Given
R-ordr0.1.1-lp156.6.1A \'tidyverse\' Extension for Ordinations and Biplots
R-ore1.7.4.1-lp156.1.1An R Interface to the Onigmo Regular Expression Library
R-oreo1.0-lp156.7.1Large Amplitude Oscillatory Shear (LAOS)
R-ores0.3.2-lp156.2.1Connector to the Objective Revision Evaluation Service (ORES
R-ORFID1.0.2-lp156.6.1Manage and Summarize Data from Oregon RFID ORMR and ORSR Ant
R-org2024.6.5-lp156.1.1Organising Projects
R-organizr0.1.0-lp156.6.1Shortcuts for File Creation with Informative Prefixes
R-OrgMassSpecR0.5.3-lp156.2.1Organic Mass Spectrometry
R-orgR0.9.0-lp156.18.1Analyse Text Files Created by Emacs\' Org mode
R-orgutils0.5.0-lp156.1.1Helper Functions for Org Files
R-ORIClust1.0.2-lp156.1.1Order-Restricted Information Criterion-Based Clustering Algo
R-orientlib0.10.5-lp156.1.1Support for orientation data
R-origami1.0.7-lp156.1.1Generalized Framework for Cross-Validation
R-OriGen1.4.3-lp156.8.1Fast Spatial Ancestry via Flexible Allele Frequency Surfaces
R-origin1.1.2-lp156.2.1Explicitly Qualifying Namespaces by Automatically Adding \'p
R-ORKM0.8.0.0-lp156.2.1The Online Regularized K-Means Clustering Algorithm
R-ORMDR1.3.2-lp156.2.1ORMDR
R-oro.dicom0.5.3-lp156.3.1Rigorous - DICOM Input / Output
R-oro.nifti0.11.4-lp156.2.1Rigorous - \'NIfTI\' + \'ANALYZE\' + \'AFNI\' : Input / Outp
R-orsifronts0.2.0-lp156.1.1Southern Ocean Frontal Distributions (Orsi)
R-orsk1.0.8-lp156.1.1Converting Odds Ratio to Relative Risk in Cohort Studies wit
R-orthogonalsplinebasis0.1.7-lp156.1.1Orthogonal B-Spline Basis Functions
R-OrthoPanels1.2.4-lp156.1.1Dynamic Panel Models with Orthogonal Reparameterization of F
R-orthopolynom1.0.6.1-lp156.1.1Collection of Functions for Orthogonal and Orthonormal Polyn
R-ORTSC1.0.0-lp156.7.1Connects to Google Cloud API for Label Detection
R-OryzaProbe0.1.0-lp156.1.1Rice Microarray Probe ID Conversion, from Probe ID to RAP-DB
R-osc1.0.5-lp156.6.1Orthodromic Spatial Clustering
R-oscar1.2.1-lp156.1.1Optimal Subset Cardinality Regression (OSCAR) Models Using t
R-OscillatorGenerator0.1.0-lp156.2.1Generation of Customizable, Discretized Time Series of Oscil
R-osd0.1-lp156.2.1Orthogonal Signal Deconvolution for Spectra Deconvolution in
R-osdatahub0.2.0-lp156.1.1Easier Interaction with the Ordnance Survey Data Hub
R-osDesign1.8-lp156.2.1Design, Planning and Analysis of Observational Studies
R-OSDR1.1.4-lp156.1.1Finds an Optimal System of Distinct Representatives
R-osfr0.2.9-lp156.5.1Interface to the \'Open Science Framework\' (\'OSF\')
R-oshka0.1.2-lp156.2.1Recursive Quoted Language Expansion
R-oskeyring0.1.6-lp156.1.1Raw System Credential Store Access from R
R-osmar1.1.7-lp156.3.1OpenStreetMap and R
R-osmclass0.1.3-lp156.2.1Classify Open Street Map Features
R-OSNMTF0.1.0-lp156.13.1Orthogonal Sparse Non-Negative Matrix Tri-Factorization
R-ospsuite.utils1.2.0-lp156.1.1Utility Functions for Open Systems Pharmacology R Packages
R-osrm4.2.0-lp156.2.1Interface Between R and the OpenStreetMap-Based Routing Serv
R-osrmr0.1.36-lp156.5.1Wrapper for the \'OSRM\' API
R-OssaNMA0.1.2-lp156.1.1Optimal Sample Size and Allocation with a Network Meta-Analy
R-OSsurvival1.0-lp156.1.1Assessing Surrogacy with a Censored Outcome
R-OSTSC0.0.1-lp156.1.1Over Sampling for Time Series Classification
R-ot0.2.0-lp156.2.1\'Open Tracing\'
R-OTE1.0.1-lp156.2.1Optimal Trees Ensembles for Regression, Classification and C
R-otp0.1.1-lp156.1.1One Time Password Generation and Verification
R-otpr0.5.1-lp156.12.1An R Wrapper for the \'OpenTripPlanner\' REST API
R-otrimle2.0-lp156.1.1Robust Model-Based Clustering
R-otrKM0.2.1-lp156.1.1Optimal Treatment Regimes in Survival Contexts with Kaplan-M
R-OTRselect1.2-lp156.1.1Variable Selection for Optimal Treatment Decision
R-otsfeatures1.0.0-lp156.2.1Ordinal Time Series Analysis
R-otuSummary0.1.2-lp156.2.1Summarizing OTU Table Regarding the Composition, Abundance a
R-OTUtable1.1.2-lp156.2.1North Temperate Lakes - Microbial Observatory 16S Time Serie
R-outbreaks1.9.0-lp156.2.1A Collection of Disease Outbreak Data
R-outcomerate1.0.1-lp156.4.1AAPOR Survey Outcome Rates
R-outliers0.15-lp156.1.1Tests for Outliers
R-OutliersLearn1.0.0-lp156.1.1Educational Outlier Package with Common Outlier Detection Al
R-OutrankingTools1.0-lp156.6.1Functions for Solving Multiple-criteria Decision-making Prob
R-outreg0.2.2-lp156.17.1Regression Table for Publication
R-overdisp0.1.2-lp156.1.1Overdispersion in Count Data Multiple Regression Analysis
R-overture0.4.0-lp156.3.1Tools for Writing MCMC
R-overviewR0.0.13-lp156.2.1Easily Extracting Information About Your Data
R-OVL.CI0.1.0-lp156.2.1Inference on the Overlap Coefficient: The Binormal Approach
R-owd1.0.6-lp156.2.1Open Working Directory
R-owdbr1.0.1.1-lp156.14.1Open Welfare Data Brazil
R-OWEA0.1.2-lp156.7.1Optimal Weight Exchange Algorithm for Optimal Designs for Th
R-owidR1.4.2-lp156.2.1Import Data from Our World in Data
R-owmr0.8.2-lp156.14.1OpenWeatherMap API Wrapper
R-ox0.1.0-lp156.1.1Shorthand if-Else
R-oxcAAR1.1.1-lp156.5.1Interface to \'OxCal\' Radiocarbon Calibration
R-oxcgrt0.1.0-lp156.8.1An Interface to the Oxford COVID-19 Government Response Trac
R-OxyBS1.5-lp156.2.1Processing of Oxy-Bisulfite Microarray Data
R-oysteR0.1.1-lp156.15.1Scans R Projects for Vulnerable Third Party Dependencies
R-oz1.0.22-lp156.1.1Plot the Australian coastline and states
R-p2distance1.0.1-lp156.2.1Welfare\'s Synthetic Indicator
R-p3state.msm1.3.2-lp156.1.1Analyzing Survival Data from an Illness-Death Model
R-pa1.2.4-lp156.1.1Performance Attribution for Equity Portfolios
R-PabonLasso1.0-lp156.2.1Pabon Lasso Graphs and Comparing Situations of a Unit in Two
R-pacbpred0.92.2-lp156.2.1PAC-Bayesian Estimation and Prediction in Sparse Additive Mo
R-pack0.1.1-lp156.2.1Convert values to/from raw vectors
R-packagepal0.1.0-lp156.3.1Guidelines and Checklists for Building CRAN-Worthy Packages
R-packagetrackr0.1.1-lp156.14.1Track R Package Downloads from RStudio\'s CRAN Mirror
R-packClassic0.5.2-lp156.2.1Toy example of Pack Classic
R-packHV2.2-lp156.2.1A few Useful Functions for Statisticians
R-packrat0.9.2-lp156.1.1A Dependency Management System for Projects and their R Pack
R-packS40.9.3-lp156.2.1Toy Example of S4 Package
R-PACLasso1.0.0-lp156.3.1Penalized and Constrained Lasso Optimization
R-pacman0.5.1-lp156.2.1Package Management Tool
R-paco0.4.2-lp156.4.1Procrustes Application to Cophylogenetic Analysis
R-pacviz1.0.3-lp156.1.1Pac-Man Visualization Package
R-Pade1.0.7-lp156.1.1Padé Approximant Coefficients
R-paf1.0-lp156.2.1Attributable Fraction Function for Censored Survival Data
R-pafr0.0.2-lp156.16.1Read, Manipulate and Visualize \'Pairwise mApping Format\' D
R-PAFway0.1.3-lp156.9.1Pairwise Association of Functional Annotations
R-pageviews0.6.0-lp156.2.1An API Client for Wikimedia Traffic Data
R-PAGI1.0-lp156.2.1The package can identify the dysregulated KEGG pathways base
R-PAGWAS2.0-lp156.3.1Pathway Analysis Methods for Genomewide Association Data
R-painbow1.0.1-lp156.7.1Use XKCD\'s \"Painbow\" Colormap in ggplot2
R-painter0.1.0-lp156.2.1Creation and Manipulation of Color Palettes
R-paintingr0.1.0-lp156.1.1Painting Palettes Generator
R-paintmap1.0-lp156.2.1Plotting Paintmaps
R-pairedCI0.5.4-lp156.2.1Confidence intervals for the ratio of locations and for the
R-PairedData1.1.1-lp156.15.1Paired Data Analysis
R-pairheatmap1.0.1-lp156.3.1A tool for comparing heatmaps
R-pairwise0.6.1.0-lp156.1.1Rasch Model Parameters by Pairwise Algorithm
R-PakPC20171.0.0-lp156.13.1Pakistan Population Census 2017
R-PakPMICS2014Ch0.1.0-lp156.2.1Multiple Indicator Cluster Survey (MICS) 2014 Child Question
R-PakPMICS2014HH0.1.0-lp156.2.1Multiple Indicator Cluster Survey (MICS) 2014 Household Ques
R-PakPMICS2014HL0.1.1-lp156.1.1Multiple Indicator Cluster Survey (MICS) 2014 Household List
R-PakPMICS2014Wm0.1.1-lp156.1.1Multiple Indicator Cluster Survey (MICS) 2014 Women Question
R-PakPMICS2018bh0.1.0-lp156.11.1Multiple Indicator Cluster Survey (MICS) 2017-18 Birth Histo
R-PakPMICS2018fs0.1.0-lp156.11.1Multiple Indicator Cluster Survey (MICS) 2017-18 Children Ag
R-PakPMICS2018hh0.1.0-lp156.11.1Multiple Indicator Cluster Survey (MICS) 2017-18 Household Q
R-PakPMICS2018mm0.1.0-lp156.11.1Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal Mo
R-PakPMICS2018mn0.1.0-lp156.11.1Multiple Indicator Cluster Survey (MICS) 2017-18 Men Questio
R-palaeoSig2.1.3-lp156.2.1Significance Tests for Palaeoenvironmental Reconstructions
R-pald0.0.4-lp156.2.1Partitioned Local Depth for Community Structure in Data
R-paleobioDB1.0.0-lp156.2.1Download and Process Data from the Paleobiology Database
R-paleobuddy1.0.0-lp156.1.1Simulating Diversification Dynamics
R-paleoDiv0.3.0-lp156.2.1Extracting and Visualizing Paleobiodiversity
R-paleofire1.2.4-lp156.13.1Analysis of Charcoal Records from the Global Charcoal Databa
R-paleoMAS2.0.1-lp156.2.1Paleoecological Analysis
R-paleomorph0.1.4-lp156.2.1Geometric Morphometric Tools for Paleobiology
R-palette0.0.2-lp156.2.1Color Scheme Helpers
R-paletteer1.6.0-lp156.1.1Comprehensive Collection of Color Palettes
R-paletteknife0.4.2-lp156.1.1Create Colour Scales and Legend from Continuous or Categoric
R-palettesForR0.1.2-lp156.2.1GPL Palettes Copied from \'Gimp\' and \'Inkscape\'
R-palettetown0.1.1-lp156.2.1Use Pokemon Inspired Colour Palettes
R-palinsol1.0-lp156.1.1Insolation for Palaeoclimate Studies
R-PaLMr0.2.0-lp156.1.1Interface for \'Google Pathways Language Model 2 (PaLM 2)\'
R-palmtree0.9.1-lp156.2.1Partially Additive (Generalized) Linear Model Trees
R-palr0.4.0-lp156.1.1Colour Palettes for Data
R-PamBinaries1.9.0-lp156.2.1Read and Process \'Pamguard\' Binary Data
R-pamctdp0.3.2-lp156.18.1Principal Axes Methods for Contingency Tables with Partition
R-PAmeasures0.1.0-lp156.2.1Prediction and Accuracy Measures for Nonlinear Models and fo
R-PAMmisc1.12.1-lp156.1.1Miscellaneous Functions for Passive Acoustic Analysis
R-pampe1.1.2-lp156.2.1Implementation of the Panel Data Approach Method for Program
R-pan1.9-lp156.1.1Multiple Imputation for Multivariate Panel or Clustered Data
R-pAnalysis2.0-lp156.14.1Benchmarking and Rescaling R2 using Noise Percentile Analysi
R-pandoc0.2.0-lp156.1.1Manage and Run Universal Converter \'Pandoc\' from \'R\'
R-pandocfilters0.1.6-lp156.1.1Pandoc Filters for R
R-Pandora24.2.0-lp156.2.1Retrieve Data using the API of the \'Pandora\' Data Platform
R-panelaggregation0.1.1-lp156.2.1Aggregate Longitudinal Survey Data
R-Paneldata1.0-lp156.2.1Linear Models for Panel Data
R-PanelTM1.0-lp156.2.1Two- And Three-Way Dynamic Panel Threshold Regression Model
R-panelView1.1.18-lp156.1.1Visualizing Panel Data
R-pangaear1.1.0-lp156.8.1Client for the \'Pangaea\' Database
R-PanJen1.6-lp156.2.1A Semi-Parametric Test for Specifying Functional Form
R-panstarrs0.2.2-lp156.2.1Interface to the Pan-STARRS API
R-PantaRhei0.1.2-lp156.2.1Plots Sankey Diagrams
R-papayar1.0-lp156.4.1View Medical Research Images using the Papaya JavaScript Lib
R-paperplanes0.0.1.9-lp156.2.1Distance Recordings from a Paper Plane Folding/Flying Experi
R-parabar1.1.1-lp156.1.1Progress Bar for Parallel Tasks
R-parade0.1-lp156.2.1Pen\'s Income Parades
R-ParallelDSM0.3.7-lp156.2.1Parallel Digital Soil Mapping using Machine Learning
R-parallelMap1.5.1-lp156.2.1Unified Interface to Parallelization Back-Ends
R-parallelMCMCcombine2.0-lp156.1.1Combining Subset MCMC Samples to Estimate a Posterior Densit
R-parallelML1.2-lp156.2.1A Parallel-Voting Algorithm for many Classifiers
R-ParallelPC1.2-lp156.2.1Paralellised Versions of Constraint Based Causal Discovery A
R-parallelSVM0.1.9-lp156.3.1A Parallel-Voting Version of the Support-Vector-Machine Algo
R-ParallelTree0.1.3-lp156.9.1Visualizing Multilevel Data
R-param60.2.4-lp156.1.1A Fast and Lightweight R6 Parameter Interface
R-paramGUI2.2.0-lp156.5.1A Shiny GUI for some Parameter Estimation Examples
R-ParamHelpers1.14.1-lp156.1.1Helpers for Parameters in Black-Box Optimization, Tuning and
R-paramhetero1.0.0-lp156.6.1Numeric and Visual Comparisons of Heterogeneity in Parametri
R-params0.7.3-lp156.9.1Simplify Parameters
R-paramsim0.1.0-lp156.4.1Parameterized Simulation
R-paramtest0.1.0-lp156.2.1Run a Function Iteratively While Varying Parameters
R-paran1.5.3-lp156.2.1Horn\'s Test of Principal Components/Factors
R-parcr0.5.2-lp156.1.1Construct Parsers for Structured Text Files
R-Pareto2.4.5-lp156.1.1The Pareto, Piecewise Pareto and Generalized Pareto Distribu
R-ParetoPosStable1.1-lp156.2.1Computing, Fitting and Validating the PPS Distribution
R-parlitools0.4.1-lp156.17.1Tools for Analysing UK Politics
R-parma1.7-lp156.6.1Portfolio Allocation and Risk Management Applications
R-parmigene1.1.0-lp156.2.1Parallel Mutual Information Estimation for Gene Network Reco
R-parmsurvfit0.1.0-lp156.11.1Parametric Models for Survival Data
R-parquetize0.5.7-lp156.2.1Convert Files to Parquet Format
R-parsec1.2.7-lp156.2.1Partial Orders in Socio-Economics
R-parsedate1.3.1-lp156.1.1Recognize and Parse Dates in Various Formats, Including All
R-parsel0.3.0-lp156.1.1Parallel Dynamic Web-Scraping Using \'RSelenium\'
R-parsemsf0.1.1-lp156.2.1Parse ThermoFisher MSF Files and Estimate Protein Abundances
R-parseRPDR1.1.1-lp156.2.1Parse and Manipulate Research Patient Data Registry (\'RPDR\
R-parsetools0.1.3-lp156.2.1Parse Tools
R-parSim0.1.5-lp156.1.1Parallel Simulation Studies
R-parsnip1.2.1-lp156.2.1A Common API to Modeling and Analysis Functions
R-PartCensReg1.39-lp156.7.1Estimation and Diagnostics for Partially Linear Censored Reg
R-partDSA0.9.14-lp156.2.1Partitioning Using Deletion, Substitution, and Addition Move
R-partialised0.1.1-lp156.2.1Partialised Functions
R-Partiallyoverlapping2.0-lp156.2.1Partially Overlapping Samples Tests
R-partialOR0.9-lp156.2.1Partial Odds Ratio
R-partitionBEFsp1.0-lp156.2.1Methods for Calculating the Loreau & Hector 2001 BEF Partiti
R-partitionComparison0.2.6-lp156.1.1Implements Measures for the Comparison of Two Partitions
R-partitionMap0.5-lp156.2.1Partition Maps
R-partitionMetric1.1-lp156.2.1Compute a distance metric between two partitions of a set
R-partitions1.10.7-lp156.1.1Additive Partitions of Integers
R-partsm1.1.3-lp156.4.1Periodic Autoregressive Time Series Models
R-parttime0.1.2-lp156.1.1Partial Datetime Handling
R-parviol1.1-lp156.2.1Parviol
R-pasadr1.0-lp156.5.1An Implementation of Process-Aware Stealthy Attack Detection
R-PASenseWear1.0-lp156.14.1Summarize Daily Physical Activity from \'SenseWear\' Acceler
R-pass.lme0.9.0-lp156.2.1Power and Sample Size for Linear Mixed Effect Models
R-PASSED1.2.2-lp156.1.1Calculate Power and Sample Size for Two Sample Mean Tests
R-passport0.3.0-lp156.2.1Travel Smoothly Between Country Name and Code Formats
R-passt0.1.3-lp156.10.1Probability Associator Time (PASS-T)
R-password1.0.0-lp156.2.1Create Random Passwords
R-pastclim2.1.0-lp156.1.1Manipulate Time Series of Palaeoclimate Reconstructions
R-pasteAsComment0.2.1-lp156.1.1\'RStudio\' Addin to Paste the Clipboard as a Comment Block
R-pastecs1.4.2-lp156.1.1Package for Analysis of Space-Time Ecological Series
R-pastis0.1.2-lp156.2.1Phylogenetic Assembly with Soft Taxonomic Inferences
R-PASWR1.3-lp156.1.1Probability and Statistics with R
R-PASWR21.0.5-lp156.7.1Probability and Statistics with R, Second Edition
R-patchSynctex0.1.4-lp156.7.1Communication Between Editor and Viewer for Literate Program
R-patentsview0.3.0-lp156.1.1An R Client to the \'PatentsView\' API
R-pathdiagram0.1.9.1-lp156.2.1Basic Functions for Drawing Path Diagrams
R-pathfindR.data2.1.0-lp156.2.1Data Package for \'pathfindR\'
R-pathlibr0.1.0-lp156.3.1OO Path Manipulation in R
R-pathling7.0.0-lp156.2.1A Library for using \'Pathling\'
R-pathmapping1.0.2-lp156.2.1Compute Deviation and Correspondence Between Spatial Paths
R-pathmodelfit1.0.5-lp156.4.1Path Component Fit Indices for Latent Structural Equation Mo
R-pathviewr1.1.7-lp156.2.1Wrangle, Analyze, and Visualize Animal Movement Data
R-patPRO1.1.0-lp156.12.1Visualizing Temporal Microbiome Data
R-patternator0.1.0-lp156.2.1Feature Extraction from Female Brown Anole Lizard Dorsal Pat
R-PatternClass2.0.1-lp156.9.1Class-Focused Pattern Metric Comparisons using Simulation
R-pauwels20141.0-lp156.9.1Bayesian Experimental Design for Systems Biology.
R-pawacc1.2.3-lp156.1.1Physical Activity with Accelerometers
R-PAWL0.5-lp156.5.1Implementation of the PAWL algorithm
R-pawscore1.0.3-lp156.1.1Pain Assessment at Withdrawal Speeds (PAWS)
R-pbapply1.7.2-lp156.1.1Adding Progress Bar to \'*apply\' Functions
R-pbatR2.2.17-lp156.1.1Pedigree/Family-Based Genetic Association Tests Analysis and
R-pbdRPC0.2.1-lp156.2.1Programming with Big Data -- Remote Procedure Call
R-PBIBD1.3-lp156.2.1Partially Balanced Incomplete Block Designs
R-PBIR0.1.0-lp156.2.1Estimating the Probability of Being in Response and Related
R-pbivnorm0.6.0-lp156.2.1Vectorized Bivariate Normal CDF
R-pbixr0.1.4-lp156.16.1Access Data and Metadata from \'Microsoft\' \'Power BI\' Doc
R-pbm1.2.1-lp156.1.1Protein Binding Models
R-pbmcapply1.5.1-lp156.1.1Tracking the Progress of Mc*pply with Progress Bar
R-PBNPA0.0.3-lp156.2.1Permutation Based Non-Parametric Analysis of CRISPR Screen D
R-pbox0.1.8-lp156.1.1Exploring Multivariate Spaces with Probability Boxes
R-pBrackets1.0.1-lp156.1.1Plot Brackets
R-PBRF1.0.0-lp156.2.1The Probability of Being in Response Function and Its Varian
R-pbs1.1-lp156.2.1Periodic B Splines
R-PBSadmb1.1.6-lp156.1.1ADMB for R Using Scripts or GUI
R-PBSddesolve1.13.4-lp156.1.1Solver for Delay Differential Equations
R-PBSmapping2.73.4-lp156.1.1Mapping Fisheries Data and Spatial Analysis Tools
R-PBSmodelling2.69.3-lp156.1.1GUI Tools Made Easy: Interact with Models and Explore Data
R-PBtDesigns1.0.0-lp156.1.1Partially Balanced t-Designs (PBtDesigns)
R-PCA4TS0.1-lp156.4.1Segmenting Multiple Time Series by Contemporaneous Linear Tr
R-pcal1.0.0-lp156.4.1Calibration of P-Values for Point Null Hypothesis Testing
R-pcalls1.0-lp156.2.1Pricing of Different Types of Call
R-PCAmatchR0.3.3-lp156.2.1Match Cases to Controls Based on Genotype Principal Componen
R-PCAmixdata3.1-lp156.2.1Multivariate Analysis of Mixed Data
R-pcatsAPIclientR1.1.0-lp156.1.1\'PCATS\' API Client
R-pcdpca0.4-lp156.17.1Dynamic Principal Components for Periodically Correlated Fun
R-PCDSpline1.0-lp156.2.1Semiparametric regression analysis of panel count data using
R-pcensmix1.2.1-lp156.2.1Model Fitting to Progressively Censored Mixture Data
R-pcev2.2.2-lp156.2.1Principal Component of Explained Variance
R-PCFAM1.0-lp156.2.1Computation of Ancestry Scores with Mixed Families and Unrel
R-pcg1.1-lp156.2.1Preconditioned Conjugate Gradient Algorithm for solving Ax=b
R-PCGSE0.5.0-lp156.1.1Principal Component Gene Set Enrichment
R-pci1.0.1-lp156.1.1A Collection of Process Capability Index Functions
R-PCICt0.5.4.4-lp156.1.1Implementation of POSIXct Work-Alike for 365 and 360 Day Cal
R-PCL1.0-lp156.1.1Proximal Causal Learning
R-pcLasso1.2-lp156.2.1Principal Components Lasso
R-PCLassoReg1.0.0-lp156.1.1Group Regression Models for Risk Protein Complex Identificat
R-pcmabc1.1.3-lp156.15.1Approximate Bayesian Computations for Phylogenetic Comparati
R-PCMBase1.2.14-lp156.2.1Simulation and Likelihood Calculation of Phylogenetic Compar
R-pco1.0.1-lp156.2.1Panel Cointegration Tests
R-pCODE0.9.4-lp156.5.1Estimation of an Ordinary Differential Equation Model by Par
R-PCovR2.7.2-lp156.1.1Principal Covariates Regression
R-PCPS1.0.7-lp156.18.1Principal Coordinates of Phylogenetic Structure
R-pcr1.2.2-lp156.14.1Analyzing Real-Time Quantitative PCR Data
R-PCRA1.2-lp156.1.1Companion to Portfolio Construction and Risk Analysis
R-pcse1.9.1.1-lp156.2.1Panel-Corrected Standard Error Estimation in R
R-PCSinR0.1.0-lp156.2.1Parallel Constraint Satisfaction Networks in R
R-pcsstools0.1.2-lp156.1.1Tools for Regression Using Pre-Computed Summary Statistics
R-pcSteiner1.0.0.1-lp156.6.1Convenient Tool for Solving the Prize-Collecting Steiner Tre
R-pcts0.15.7-lp156.1.1Periodically Correlated and Periodically Integrated Time Ser
R-pcv1.1.0-lp156.1.1Procrustes Cross-Validation
R-pdc1.0.3-lp156.2.1Permutation Distribution Clustering
R-PDE1.4.3-lp156.1.1Extract Tables and Sentences from PDFs with User Interface
R-pder1.0.2-lp156.2.1Panel Data Econometrics with R
R-pdfCluster1.0.4-lp156.2.1Cluster Analysis via Nonparametric Density Estimation
R-PDFEstimator4.5-lp156.1.1Multivariate Nonparametric Probability Density Estimator
R-pdfminer1.0-lp156.2.1Read Portable Document Format (PDF) Files
R-pdftables0.1-lp156.2.1Programmatic Conversion of PDF Tables
R-pdi0.4.2-lp156.19.1Phenotypic Index Measures for Oak Decline Severity
R-pdist1.2.1-lp156.1.1Partitioned Distance Function
R-PDM0.1-lp156.2.1Photogrammetric Distances Measurer
R-pdmod1.0.1-lp156.2.1Proximal/Distal Modeling Framework for Pavlovian Conditionin
R-pdp0.8.1-lp156.6.1Partial Dependence Plots
R-PdPDB2.0.1-lp156.15.1Pattern Discovery in PDB Structures of Metalloproteins
R-pdqr0.3.1-lp156.1.1Work with Custom Distribution Functions
R-PDQutils0.1.6-lp156.2.1PDQ Functions via Gram Charlier, Edgeworth, and Cornish Fish
R-pdR1.9.1-lp156.1.1Threshold Model and Unit Root Tests in Cross-Section and Tim
R-pds30.5.0-lp156.3.1Manipulate PDS3 ODL Files
R-PDSCE1.2.1-lp156.1.1Positive Definite Sparse Covariance Estimators
R-PDShiny0.1.0-lp156.13.1\'Probability Distribution Shiny\'
R-pdt0.0.2-lp156.1.1Permutation Distancing Test
R-pdxTrees0.4.0-lp156.13.1Data Package of Portland, Oregon Trees
R-Peacock.test1.0-lp156.2.1Two and Three Dimensional Kolmogorov-Smirnov Two-Sample Test
R-peacots1.3.2-lp156.2.1Periodogram Peaks in Correlated Time Series
R-PeakError2023.9.4-lp156.1.1Compute the Label Error of Peak Calls
R-peakPick0.11-lp156.2.1Peak Picking Methods Inspired by Biological Data
R-peakRAM1.0.2-lp156.2.1Monitor the Total and Peak RAM Used by an Expression or Func
R-PeakSegDP2024.1.24-lp156.1.1Dynamic Programming Algorithm for Peak Detection in ChIP-Seq
R-pear1.2-lp156.1.1Package for Periodic Autoregression Analysis
R-pearson71.0.3-lp156.2.1Maximum Likelihood Inference for the Pearson VII Distributio
R-PearsonDS1.3.1-lp156.1.1Pearson Distribution System
R-PearsonICA1.2.5-lp156.1.1Independent component analysis using score functions from th
R-pedigree1.4.2-lp156.2.1Pedigree functions
R-pedMermaid1.0.2-lp156.2.1Pedigree Mermaid Syntax
R-pedmut0.7.1-lp156.1.1Mutation Models for Pedigree Likelihood Computations
R-pedSimulate1.4.3-lp156.1.1Pedigree, Genetic Merit, Phenotype, and Genotype Simulation
R-peermodels0.10.3-lp156.5.1Client-Side R API Wrapper for Peer Models Network Model Repo
R-PeerPerformance2.2.5-lp156.1.1Luck-Corrected Peer Performance Analysis in R
R-pegas1.3-lp156.1.1Population and Evolutionary Genetics Analysis System
R-PEGroupTesting1.0-lp156.2.1Population Proportion Estimation using Group Testing
R-PEIP2.2.5-lp156.2.1Geophysical Inverse Theory and Optimization
R-PEkit1.0.0.1000-lp156.1.1Partition Exchangeability Toolkit
R-pell0.1.0-lp156.1.1Data About Historic Pell Grant Distribution in the US
R-PEMM1.0-lp156.2.1A Penalized EM algorithm incorporating missing-data mechanis
R-pempi1.0.0-lp156.1.1Proportion Estimation with Marginal Proxy Information
R-penalizedcdf0.1.0-lp156.1.1Estimate a Penalized Linear Model using the CDF Penalty Func
R-penalizedclr2.0.0-lp156.1.1Integrative Penalized Conditional Logistic Regression
R-penalizedLDA1.1-lp156.2.1Penalized Classification using Fisher\'s Linear Discriminant
R-penalizedSVM1.1.4-lp156.1.1Feature Selection SVM using Penalty Functions
R-pendensity0.2.13-lp156.17.1Density Estimation with a Penalized Mixture Approach
R-PenIC1.0.0-lp156.2.1Semiparametric Regression Analysis of Interval-Censored Data
R-pensim1.3.6-lp156.2.1Simulation of High-Dimensional Data and Parallelized Repeate
R-peopleanalytics0.1.0-lp156.1.1Data Sets for Craig Starbuck\'s Book, \"The Fundamentals of
R-peopleanalyticsdata0.2.1-lp156.1.1Data Sets for Keith McNulty\'s Handbook of Regression Modeli
R-peperr1.5-lp156.1.1Parallelised Estimation of Prediction Error
R-pepr0.5.0-lp156.2.1Reading Portable Encapsulated Projects
R-PepSAVIms0.9.1-lp156.2.1PepSAVI-MS Data Analysis
R-peptider0.2.2-lp156.14.1Evaluation of Diversity in Nucleotide Libraries
R-perARMA1.7-lp156.1.1Periodic Time Series Analysis
R-Perc0.1.6-lp156.1.1Using Percolation and Conductance to Find Information Flow C
R-perccalc1.0.5-lp156.11.1Estimate Percentiles from an Ordered Categorical Variable
R-percentiles0.2.2-lp156.8.1Calculate (Stratified) Percentiles
R-PerformanceAnalytics2.0.4-lp156.2.1Econometric Tools for Performance and Risk Analysis
R-performanceEstimation1.1.0-lp156.17.1An Infra-Structure for Performance Estimation of Predictive
R-pergola1.0-lp156.10.1Toolbox for Polyploid Genetic Data
R-PeriodicTable0.1.2-lp156.2.1Periodic Table of the Elements
R-perm1.0.0.4-lp156.1.1Exact or Asymptotic Permutation Tests
R-PermAlgo1.2-lp156.1.1Permutational Algorithm to Simulate Survival Data
R-PerMallows1.13-lp156.2.1Permutations and Mallows Distributions
R-PERMANOVA0.2.0-lp156.5.1Multivariate Analysis of Variance Based on Distances and Per
R-PerMat0.1.0-lp156.1.1Performance Metrics in Predictive Modeling
R-permGS0.2.5-lp156.2.1Permutational Group Sequential Test for Time-to-Event Data
R-permimp1.0.2-lp156.7.1Conditional Permutation Importance
R-permPATH1.3-lp156.1.1Permutation Based Gene Expression Pathway Analysis
R-permubiome1.3.2-lp156.2.1A Permutation Based Test for Biomarker Discovery in Microbio
R-PermutationR0.1.0-lp156.1.1Conduct Permutation Analysis of Variance in R
R-permute0.9.7-lp156.1.1Functions for Generating Restricted Permutations of Data
R-permutes2.8-lp156.1.1Permutation Tests for Time Series Data
R-perplexR0.0.3-lp156.2.1A Coding Assistant using Perplexity\'s Large Language Models
R-perry0.3.1-lp156.7.1Resampling-Based Prediction Error Estimation for Regression
R-persDx0.5.0-lp156.1.1Personalized Diagnostics Rules for Subgroup Identification a
R-persiandictionary1.0-lp156.2.1English to Persian dictionary
R-PersianStemmer1.0-lp156.2.1Persian Stemmer for Text Analysis
R-PersomicsArray1.0-lp156.2.1Automated Persomics Array Image Extraction
R-perspectev1.1-lp156.15.1Permutation of Species During Turnover Events
R-peRspective0.1.1-lp156.10.1Interface to the \'Perspective\' API
R-perturb2.10-lp156.1.1Tools for evaluating collinearity
R-perturbR0.1.3-lp156.14.1Random Perturbation of Count Matrices
R-peruflorads430.1.1-lp156.1.1Reviewed Official Classification of Endangered Wild Flora Sp
R-peruse0.3.1-lp156.2.1A Tidy API for Sequence Iteration and Set Comprehension
R-perutimber0.1.0-lp156.1.1Catalogue of the Timber Forest Species of the Peruvian Amazo
R-pesel0.7.5-lp156.1.1Automatic Estimation of Number of Principal Components in PC
R-PesticideLoadIndicator1.3.1-lp156.7.1Computes Danish Pesticide Load Indicator
R-pestr0.8.2-lp156.14.1Interface to Download Data on Pests and Hosts from \'EPPO\'
R-PEtests0.1.0-lp156.1.1Power-Enhanced (PE) Tests for High-Dimensional Data
R-PetfindeR2.1.0-lp156.3.1\'Petfinder\' API Wrapper
R-petitr1.0-lp156.2.1Relative Growth Rate
R-pfica0.1.3-lp156.3.1Independent Components Analysis Techniques for Functional Da
R-pfr1.0.1-lp156.1.1Interface to the \'C++\' Library \'Pf\'
R-pgam0.4.17-lp156.1.1Poisson-Gamma Additive Models
R-PGEE1.5-lp156.2.1Penalized Generalized Estimating Equations in High-Dimension
R-pglm0.2.3-lp156.3.1Panel Generalized Linear Models
R-pGLS0.0.1-lp156.2.1Generalized Least Square in comparative Phylogenetics
R-PGM21.0.1-lp156.2.1Nested Resolvable Designs and their Associated Uniform Desig
R-pGMGM1.0-lp156.6.1Estimating Multiple Gaussian Graphical Models (GGM) in Penal
R-pgmm1.2.7-lp156.1.1Parsimonious Gaussian Mixture Models
R-pgnorm2.0-lp156.2.1The p-Generalized Normal Distribution
R-PGRdup0.2.3.9-lp156.2.1Discover Probable Duplicates in Plant Genetic Resources Coll
R-pgTools1.0.2-lp156.3.1Functions for Generating PostgreSQL Statements/Scripts
R-PH1XBAR0.11.2-lp156.3.1Phase I Shewhart X-Bar Chart
R-ph2mult0.1.1-lp156.2.1Phase II Clinical Trial Design for Multinomial Endpoints
R-phantSEM1.0.0.0-lp156.2.1Create Phantom Variables in Structural Equation Models for S
R-pharmaverse0.0.2-lp156.1.1Navigate \'Pharmaverse\'
R-pharmaversesdtm1.0.0-lp156.1.1SDTM Test Data for the \'Pharmaverse\' Family of Packages
R-PharmPow1.0-lp156.2.1Pharmacometric Power calculations for mixed study designs
R-phaseR2.2.1-lp156.1.1Phase Plane Analysis of One- And Two-Dimensional Autonomous
R-PhaseTypeR1.0.4-lp156.5.1General-Purpose Phase-Type Functions
R-phateR1.0.7-lp156.13.1PHATE - Potential of Heat-Diffusion for Affinity-Based Trans
R-PHclust0.1.0-lp156.1.1Poisson Hurdle Clustering for Sparse Microbiome Data
R-phdcocktail0.1.0-lp156.1.1Enhance the Ease of R Experience as an Emerging Researcher
R-pheatmap1.0.12-lp156.6.1Pretty Heatmaps
R-PHEindicatormethods2.0.2-lp156.3.1Common Public Health Statistics and their Confidence Interva
R-phenability2.0-lp156.2.1Nonparametric Stability Analysis
R-phenex1.4.5-lp156.4.1Auxiliary Functions for Phenological Data Analysis
R-PHENIX1.3.1-lp156.2.1Phenotypic Integration Index
R-phenModel1.0-lp156.17.1Insect Phenology Model Evaluation Based on Daily Temperature
R-phenocamapi0.1.5-lp156.1.1Interacting with the PhenoCam Data and API
R-phenocamr1.1.5-lp156.6.1Facilitates \'PhenoCam\' Data Access and Time Series Post-Pr
R-phenolocrop0.0.2-lp156.1.1Time-Series Models to the Crop Phenology
R-phenomap2.0.1-lp156.1.1Projecting Satellite-Derived Phenology in Space
R-phenopix2.4.4-lp156.1.1Process Digital Images of a Vegetation Cover
R-PheNorm0.1.0-lp156.1.1Unsupervised Gold-Standard Label Free Phenotyping Algorithm
R-PHENTHAUproc1.1-lp156.1.1Phenology Modelling of Thaumetopoea Processionea
R-phers1.0.2-lp156.1.1Calculate Phenotype Risk Scores
R-phiDelta1.0.1-lp156.2.1Tool for Phi Delta Analysis of Features
R-phillydaodata1.0.1-lp156.5.1Download Data from the Philadelphia District Attorney\'s Off
R-PHInfiniteEstimates2.9.5-lp156.1.1Tools for Inference in the Presence of a Monotone Likelihood
R-phonenumber0.2.3-lp156.1.1Convert Letters to Numbers and Back as on a Telephone Keypad
R-phonR1.0.7-lp156.2.1Tools for Phoneticians and Phonologists
R-phonTools0.2.2.2-lp156.1.1Tools for Phonetic and Acoustic Analyses
R-phosphoricons0.2.1-lp156.2.1\'Phosphor\' Icons for R
R-photobiologyFilters0.6.0-lp156.2.1Spectral Transmittance and Spectral Reflectance Data
R-photobiologyLamps0.5.2-lp156.2.1Spectral Irradiance Data for Lamps
R-photobiologyLEDs0.5.2-lp156.2.1Spectral Data for Light-Emitting-Diodes
R-photobiologyPlants0.5.0-lp156.2.1Plant Photobiology Related Functions and Data
R-photobiologySensors0.5.1-lp156.2.1Response Data for Light Sensors
R-photobiologySun0.5.0-lp156.2.1Data for Sunlight Spectra
R-photobiologyWavebands0.5.2-lp156.2.1Waveband Definitions for UV, VIS, and IR Radiation
R-PhotosynQ0.2.3-lp156.1.1Connect to PhotosynQ
R-photosynthesis2.1.4-lp156.2.1Tools for Plant Ecophysiology & Modeling
R-phsmethods1.0.2-lp156.1.1Standard Methods for Use in Public Health Scotland
R-phuassess1.1-lp156.2.1Proportional Habitat Use Assessment
R-Phxnlme1.0.0-lp156.12.1Run Phoenix NLME and Perform Post-Processing
R-phyclust0.1.34-lp156.1.1Phylogenetic Clustering (Phyloclustering)
R-phyext20.0.4-lp156.16.1An Extension (for Package \'SigTree\') of Some of the Classe
R-phylin2.0.2-lp156.2.1Spatial Interpolation of Genetic Data
R-phyloclim0.9.5-lp156.7.1Integrating Phylogenetics and Climatic Niche Modeling
R-phylocomr0.3.4-lp156.1.1Interface to \'Phylocom\'
R-PHYLOGR1.0.11-lp156.2.1Functions for Phylogenetically Based Statistical Analyses
R-phylogram2.1.0-lp156.4.1Dendrograms for Evolutionary Analysis
R-phyloland1.3-lp156.2.1Modelling Competitive Exclusion and Limited Dispersal in a S
R-PhyloMeasures2.1-lp156.2.1Fast and Exact Algorithms for Computing Phylogenetic Biodive
R-phylometrics0.0.1-lp156.2.1Estimating Statistical Errors of Phylogenetic Metrics
R-phyloraster2.1.0-lp156.2.1Evolutionary Diversity Metrics for Raster Data
R-phyloregion1.0.8-lp156.3.1Biogeographic Regionalization and Macroecology
R-phylosamp1.0.1-lp156.1.1Sample Size Calculations for Molecular and Phylogenetic Stud
R-phylotate1.3-lp156.2.1Phylogenies with Annotations
R-phylotools0.2.2-lp156.4.1Phylogenetic Tools for Eco-Phylogenetics
R-phyreg1.0.2-lp156.2.1The Phylogenetic Regression of Grafen (1989)
R-PhysActBedRest1.1-lp156.8.1Marks Periods of \'Bedrest\' in Actigraph Accelerometer Data
R-PhysicalActivity0.2.4-lp156.1.1Process Accelerometer Data for Physical Activity Measurement
R-PhySortR1.0.8-lp156.18.1A Fast, Flexible Tool for Sorting Phylogenetic Trees
R-phytools2.3.0-lp156.1.1Phylogenetic Tools for Comparative Biology (and Other Things
R-PhytosanitaryCalculator1.1.1-lp156.2.1Phytosanitary Calculator for Inspection Plans Based on Risks
R-phytotools1.0-lp156.3.1Phytoplankton Production Tools
R-picante1.8.2-lp156.4.1Integrating Phylogenies and Ecology
R-picasso1.3.1-lp156.2.1Pathwise Calibrated Sparse Shooting Algorithm
R-picR1.0.0-lp156.1.1Predictive Information Criteria for Model Selection
R-pid0.50-lp156.17.1Process Improvement using Data
R-piecemaker1.0.2-lp156.2.1Tools for Preparing Text for Tokenizers
R-piggyback0.1.5-lp156.4.1Managing Larger Data on a GitHub Repository
R-PIGShift1.0.1-lp156.4.1Polygenic Inverse Gamma Shifts
R-pillar1.9.0-lp156.1.1Coloured Formatting for Columns
R-pim2.0.2-lp156.2.1Fit Probabilistic Index Models
R-pinfsc501.3.0-lp156.1.1Sequence (\'FASTA\'), Annotation (\'GFF\') and Variants (\'V
R-pingr2.0.3-lp156.1.1Check if a Remote Computer is Up
R-PINMA1.1.2-lp156.1.1Improved Methods for Constructing Prediction Intervals for N
R-pinnacle.API2.3.3-lp156.5.1A Wrapper for the Pinnacle API
R-pinnacle.data0.1.4-lp156.11.1Market Odds Data from Pinnacle
R-pinochet0.1.0-lp156.2.1Data About the Victims of the Pinochet Regime, 1973-1990
R-pinterestadsR0.1.0-lp156.1.1Access to Pinterest Ads via the \'Windsor.ai\' API
R-pinyin1.1.6-lp156.2.1Convert Chinese Characters into Pinyin, Sijiao, Wubi or Othe
R-pipe.design0.5.1-lp156.14.1Dual-Agent Dose Escalation for Phase I Trials using the PIPE
R-pipebind0.1.2-lp156.1.1Flexible Binding for Complex Function Evaluation with the Ba
R-pipefittr0.1.2-lp156.14.1Convert Nested Functions to Pipes
R-pipeGS0.4-lp156.2.1Permutation p-Value Estimation for Gene Set Tests
R-pipeliner0.1.1-lp156.2.1Machine Learning Pipelines for R
R-pipenostics0.2.0-lp156.2.1Diagnostics, Reliability and Predictive Maintenance of Pipel
R-pipeR0.6.1.3-lp156.2.1Multi-Paradigm Pipeline Implementation
R-PIPS1.0.1-lp156.2.1Predicted Interval Plots
R-piratings0.1.9-lp156.14.1Calculate Pi Ratings for Teams Competing in Sport Matches
R-piRF0.1.0-lp156.4.1Prediction Intervals for Random Forests
R-pisaRT2.0.2-lp156.1.1Small Example Response and Response Time Data from PISA 2018
R-pitchRx1.8.2-lp156.14.1Tools for Harnessing \'MLBAM\' \'Gameday\' Data and Visualiz
R-PivotalR0.1.18.5-lp156.1.1A Fast, Easy-to-Use Tool for Manipulating Tables in Database
R-pivotaltrackR0.2.0-lp156.2.1A Client for the \'Pivotal Tracker\' API
R-piwikproR0.4.0-lp156.7.1Access \'Piwik Pro\' Website Statistics
R-pixarfilms0.2.1-lp156.6.1Pixar Films and Achievements
R-pixelclasser1.1.1-lp156.1.1Classifies Image Pixels by Colour
R-pixelpuzzle1.0.1-lp156.2.1Puzzle Game for the R Console
R-pixmap0.4.13-lp156.2.1Bitmap Images / Pixel Maps
R-PK1.3.6-lp156.1.1Basic Non-Compartmental Pharmacokinetics
R-pk4adi0.1.3.2-lp156.1.1PK for Anesthetic Depth Indicators
R-PKconverter1.5-lp156.13.1The Parameter Converter of the Pharmacokinetic Models
R-pkdata0.1.0-lp156.6.1Creates Pharmacokinetic/Pharmacodynamic (PK/PD) Data
R-pkgbuild1.4.4-lp156.2.1Find Tools Needed to Build R Packages
R-pkgcond0.1.1-lp156.1.1Classed Error and Warning Conditions
R-pkgconfig2.0.3-lp156.2.1Private Configuration for \'R\' Packages
R-pkgfilecache0.1.5-lp156.1.1Download and Manage Optional Package Data
R-pkglite0.2.2-lp156.1.1Compact Package Representations
R-pkgmaker0.32.10-lp156.2.1Development Utilities for R Packages
R-pkgnews0.0.2-lp156.1.1Retrieve R Package News Files
R-pkgsearch3.1.3-lp156.1.1Search and Query CRAN R Packages
R-PKI0.1.14-lp156.1.1Public Key Infrastucture for R Based on the X.509 Standard
R-pkmon1.1-lp156.1.1Least-Squares Estimator under k-Monotony Constraint for Disc
R-PKNCA0.11.0-lp156.1.1Perform Pharmacokinetic Non-Compartmental Analysis
R-PKPDmodels0.3.2-lp156.2.1Pharmacokinetic/pharmacodynamic models
R-pkr0.1.3-lp156.2.1Pharmacokinetics in R
R-PKreport1.5-lp156.9.1A reporting pipeline for checking population pharmacokinetic
R-pKSEA0.0.1-lp156.2.1Prediction-Based Kinase-Substrate Enrichment Analysis
R-pksensi1.2.3-lp156.4.1Global Sensitivity Analysis in Physiologically Based Kinetic
R-placer0.1.3-lp156.2.1PLastic ACcumulation Estimate using R (PLACER)
R-plan0.4.5-lp156.1.1Tools for Project Planning
R-PlaneGeometry1.3.1-lp156.3.1Plane Geometry
R-Planesmuestra0.1-lp156.2.1Functions for Calculating Dodge Romig, MIL STD 105E and MIL
R-PlanetNICFI1.0.5-lp156.1.1Processing of the \'Planet NICFI\' Satellite Imagery
R-planets0.1.0-lp156.2.1Simple and Accessible Data from all Known Planets
R-plantecophys1.4.6-lp156.1.1Modelling and Analysis of Leaf Gas Exchange Data
R-plantecowrap1.0.4-lp156.18.1Enhancing Capabilities of \'plantecophys\'
R-plantphysioR1.0.0-lp156.2.1Fundamental Formulas for Plant Physiology
R-plater1.0.4-lp156.5.1Read, Tidy, and Display Data from Microtiter Plates
R-platetools0.1.7-lp156.2.1Tools and Plots for Multi-Well Plates
R-PlatformDesign2.1.4-lp156.2.1Optimal Two-Period Multiarm Platform Design with New Experim
R-platowork0.0.1-lp156.1.1Data from a Test of the PlatoWork tDCS Headset
R-plattice1.0-lp156.4.1Lattice Plot for Panel Data
R-play0.1.3-lp156.6.1Visualize Sports Data
R-PlayerChart1.0.0-lp156.1.1Generate Pizza Chart: Player Stats 0-100
R-PlayerRatings1.1.0-lp156.2.1Dynamic Updating Methods for Player Ratings Estimation
R-pldamixture0.1.1-lp156.1.1Post-Linkage Data Analysis Based on Mixture Modelling
R-plde0.1.2-lp156.2.1Penalized Log-Density Estimation Using Legendre Polynomials
R-plfm2.2.6-lp156.1.1Probabilistic Latent Feature Analysis
R-plgp1.1.12-lp156.1.1Particle Learning of Gaussian Processes
R-PLindleyROC0.1.1-lp156.1.1Receiver Operating Characteristic Based on Power Lindley Dis
R-plink1.5.1-lp156.2.1IRT Separate Calibration Linking Methods
R-plinkFile0.2.1-lp156.1.1\'PLINK\' (and \'GCTA\') File Helpers
R-PLIS1.2-lp156.1.1Multiplicity Control using Pooled LIS Statistic
R-plm2.6.4-lp156.2.1Linear Models for Panel Data
R-plmm0.1.1-lp156.2.1Partially Linear Mixed Effects Model
R-pln0.2.2-lp156.2.1Polytomous Logit-Normit (Graded Logistic) Model Estimation
R-plnr2022.11.23-lp156.6.1A System for Planing Analyses
R-plogr0.2.0-lp156.2.1The \'plog\' C++ Logging Library
R-PLordprob1.1-lp156.3.1Multivariate Ordered Probit Model via Pairwise Likelihood
R-PLORN0.1.1-lp156.6.1Prediction with Less Overfitting and Robust to Noise
R-plot.matrix1.6.2-lp156.1.1Visualizes a Matrix as Heatmap
R-plot3D1.4.1-lp156.1.1Plotting Multi-Dimensional Data
R-plot3logit3.1.4-lp156.1.1Ternary Plots for Trinomial Regression Models
R-plot4fun0.1.0-lp156.1.1Just Plot for Fun
R-plotBart0.1.7-lp156.7.1Diagnostic and Plotting Functions to Supplement \'bartCause\
R-plotbb0.0.6-lp156.5.1Grammar of Graphics for \'base\' Plot
R-PlotContour0.1.0-lp156.2.1Plot Contour Line
R-plotdap1.0.3-lp156.4.1Easily Visualize Data from \'ERDDAP\' Servers via the \'rerd
R-plotfunctions1.4-lp156.3.1Various Functions to Facilitate Visualization of Data and An
R-plotGMM0.2.2-lp156.14.1Tools for Visualizing Gaussian Mixture Models
R-plothelper0.1.9-lp156.9.1New Plots Based on \'ggplot2\' and Functions to Create Regul
R-plotKML0.8.3-lp156.4.1Visualization of Spatial and Spatio-Temporal Objects in Goog
R-plotlyGeoAssets0.0.2-lp156.2.1Render \'Plotly\' Maps without an Internet Connection
R-plotMCMC2.0.1-lp156.3.1MCMC Diagnostic Plots
R-plotMElm0.1.5-lp156.14.1Plot Marginal Effects from Linear Models
R-plotmm0.1.1-lp156.2.1Tidy Tools for Visualizing Mixture Models
R-plotpc1.0.4-lp156.2.1Plot Principal Component Histograms Around a Scatter Plot
R-PlotPrjNetworks1.0.0-lp156.15.1Useful Networking Tools for Project Management
R-plotprotein1.0-lp156.8.1Development of Visualization Tools for Protein Sequence
R-PlotRegionHighlighter1.0-lp156.2.1Creates an envelope that surrounds a set of points plotted i
R-plotrix3.8.4-lp156.1.1Various plotting functions
R-plotROC2.3.1-lp156.3.1Generate Useful ROC Curve Charts for Print and Interactive U
R-plotrr1.0.0-lp156.16.1Making Visual Exploratory Data Analysis with Nested Data Eas
R-plotscale0.1.6-lp156.2.1Scale Graphics Devices Using Plot Dimensions
R-plotwidgets0.5.1-lp156.1.1Spider Plots, ROC Curves, Pie Charts and More for Use in Oth
R-plRasch1.0-lp156.2.1Log Linear by Linear Association models and Rasch family mod
R-PLreg0.4.1-lp156.1.1Power Logit Regression for Modeling Bounded Data
R-PLRModels1.4-lp156.1.1Statistical Inference in Partial Linear Regression Models
R-PLSbiplot10.1-lp156.2.1The Partial Least Squares (PLS) Biplot
R-plsdepot0.2.0-lp156.1.1Partial Least Squares (PLS) Data Analysis Methods
R-plsdof0.3.2-lp156.2.1Degrees of Freedom and Statistical Inference for Partial Lea
R-plsgenomics1.5.3-lp156.2.1PLS Analyses for Genomics
R-plspm0.5.1-lp156.1.1Partial Least Squares Path Modeling (PLS-PM)
R-plsr0.0.1-lp156.12.1Pleasure - Partial Least Squares Analysis with Permutation T
R-plsVarSel0.9.12-lp156.2.1Variable Selection in Partial Least Squares
R-pltesim1.0-lp156.17.1Simulate Probabilistic Long-Term Effects in Models with Temp
R-plu0.3.0-lp156.1.1Dynamically Pluralize Phrases
R-plugdensity0.8.5-lp156.1.1Plug-in Kernel Density Estimation
R-plumbr0.6.10-lp156.1.1Mutable and Dynamic Data Models
R-plus1.0-lp156.2.1Penalized Linear Unbiased Selection
R-pluscode0.1.0-lp156.2.1Encoder for Google \'Pluscodes\'
R-plusser0.4.0-lp156.8.1A Google+ Interface for R
R-PMA22.1-lp156.1.1Penalized Multivariate Analysis
R-pmc1.0.6-lp156.4.1Phylogenetic Monte Carlo
R-pmcgd1.1-lp156.2.1pmcgd
R-PMCMR4.4-lp156.1.1Calculate Pairwise Multiple Comparisons of Mean Rank Sums
R-pmdplyr0.3.3-lp156.5.1\'dplyr\' Extension for Common Panel Data Maneuvers
R-pmetar0.5.0-lp156.2.1Processing METAR Weather Reports
R-PMEvapotranspiration0.1.0-lp156.2.1Calculation of the Penman-Monteith Evapotranspiration using
R-pmhtutorial1.5-lp156.3.1Minimal Working Examples for Particle Metropolis-Hastings
R-pmlbr0.2.1-lp156.1.1Interface to the Penn Machine Learning Benchmarks Data Repos
R-pmledecon0.2.1-lp156.1.1Deconvolution Density Estimation using Penalized MLE
R-pmml2.5.2-lp156.4.1Generate PMML for various models
R-pmmlTransformations1.3.3-lp156.2.1Transforms Input Data from a PMML Perspective
R-pmparser1.0.20-lp156.1.1Create and Maintain a Relational Database of Data from PubMe
R-pmpp0.1.1-lp156.14.1Posterior Mean Panel Predictor
R-pmr1.2.5.1-lp156.1.1Probability Models for Ranking Data
R-pmsampsize1.1.3-lp156.1.1Sample Size for Development of a Prediction Model
R-pmultinom1.0.0-lp156.1.1One-Sided Multinomial Probabilities
R-pmvalsampsize0.1.0-lp156.1.1Sample Size for External Validation of a Prediction Model
R-pmwg0.2.7-lp156.1.1Particle Metropolis Within Gibbs
R-pmxcv0.0.1.0-lp156.2.1Integration-Based Coefficients of Variance
R-PNADcIBGE0.7.5-lp156.3.1Downloading, Reading and Analyzing PNADC Microdata
R-PNDSIBGE0.1.1-lp156.3.1Downloading, Reading and Analyzing PNDS Microdata - Package
R-png0.1.8-lp156.2.1Read and write PNG images
R-pnmtrem1.3-lp156.2.1Probit-Normal Marginalized Transition Random Effects Models
R-pnn1.0.1-lp156.2.1Probabilistic neural networks
R-PNSIBGE0.2.1-lp156.3.1Downloading, Reading and Analyzing PNS Microdata
R-PNWColors0.1.0-lp156.2.1Color Palettes Inspired by Nature in the US Pacific Northwes
R-PoA1.2.1-lp156.18.1Finds the Price of Anarchy for Routing Games
R-pocketapi0.1-lp156.19.1Wrapper Around the \'Pocket\' API
R-POCRE0.6.0-lp156.6.1Penalized Orthogonal-Components Regression
R-pocrm0.13-lp156.1.1Dose Finding in Drug Combination Phase I Trials Using PO-CRM
R-POD1.2.0-lp156.2.1Probability of Detection for Qualitative PCR Methods
R-podcleaner0.1.2-lp156.11.1Legacy Scottish Post Office Directories Cleaner
R-POET2.0-lp156.2.1Principal Orthogonal ComplEment Thresholding (POET) Method
R-POFIBGE0.1.6-lp156.2.1Downloading, Reading and Analyzing POF Microdata - Package i
R-PogromcyDanych1.7.1-lp156.4.1DataCrunchers (PogromcyDanych) is the Massive Online Open Co
R-PoiClaClu1.0.2.1-lp156.2.1Classification and Clustering of Sequencing Data Based on a
R-poilog0.4.2-lp156.1.1Poisson lognormal and bivariate Poisson lognormal distributi
R-pointdensityP0.3.5-lp156.2.1Point Density for Geospatial Data
R-pointr0.2.0-lp156.6.1Working Comfortably with Pointers and Shortcuts to R Objects
R-PoisBinNonNor1.3.3-lp156.1.1Data Generation with Poisson, Binary and Continuous Componen
R-PoisBinOrd1.4.3-lp156.1.1Data Generation with Poisson, Binary and Ordinal Components
R-PoisBinOrdNonNor1.5.3-lp156.1.1Generation of Up to Four Different Types of Variables
R-poisFErobust2.0.0-lp156.2.1Poisson Fixed Effects Robust
R-poismf0.4.0.4-lp156.1.1Factorization of Sparse Counts Matrices Through Poisson Like
R-PoisNonNor1.6.3-lp156.1.1Simultaneous Generation of Count and Continuous Data
R-PoisNor1.3.3-lp156.1.1Simultaneous Generation of Multivariate Data with Poisson an
R-poisson1.0-lp156.2.1Simulating Homogenous & Non-Homogenous Poisson Processes
R-poisson.glm.mix1.4-lp156.1.1Fit High Dimensional Mixtures of Poisson GLMs
R-poissonMT0.3.5-lp156.2.1Robust M-Estimators Based on Transformations for Poisson Mod
R-PoissonPCA1.0.3-lp156.1.1Poisson-Noise Corrected PCA
R-poissonreg1.0.1-lp156.6.1Model Wrappers for Poisson Regression
R-PoissonSeq1.1.2-lp156.2.1Significance analysis of sequencing data based on a Poisson
R-poistweedie1.0.2-lp156.1.1Poisson-Tweedie exponential family models
R-pokemon0.1.3-lp156.1.1Pokemon Data in English and Brazilian Portuguese
R-poker0.8.8-lp156.2.1Play Texas Hold Em Poker
R-PolarCAP1.0.1-lp156.2.1Access the Polarization in Comparative Attitudes Project
R-polaroid0.1.0-lp156.3.1Create Hex Stickers with \'shiny\'
R-poLCA1.6.0.1-lp156.1.1Polytomous variable Latent Class Analysis
R-PolicyPortfolios0.3-lp156.8.1Tools for Managing, Measuring and Visualizing Policy Portfol
R-politicaldata0.1.3-lp156.2.1Tools for Acquiring and Analyzing Political Data
R-politicsR0.1.0-lp156.1.1Calculating Political System Metrics
R-pollen0.82.0-lp156.9.1Analysis of Aerobiological Data
R-pollster0.1.6-lp156.3.1Calculate Crosstab and Topline Tables of Weighted Survey Dat
R-pollstR2.0.1-lp156.3.1Client for the HuffPost Pollster API
R-polspline1.1.25-lp156.2.1Polynomial spline routines
R-polyaAeppli2.0.2-lp156.1.1Implementation of the Polya-Aeppli Distribution
R-polyapost1.7-lp156.1.1Simulating from the Polya posterior
R-Polychrome1.5.1-lp156.1.1Qualitative Palettes with Many Colors
R-polycor0.8.1-lp156.1.1Polychoric and Polyserial Correlations
R-PolycrossDesigns1.1.0-lp156.1.1Polycross Designs (\"PolycrossDesigns\")
R-polyCub0.9.1-lp156.2.1Cubature over Polygonal Domains
R-PolyHaplotyper1.0.1-lp156.1.1Assignment of Haplotypes Based on SNP Dosages in Diploids an
R-polyMatrix0.9.16-lp156.1.1Infrastructure for Manipulation Polynomial Matrices
R-polynom1.4.1-lp156.1.1A collection of functions to implement a class for univariat
R-PolyPatEx0.9.2-lp156.2.1Paternity Exclusion in Autopolyploid Species
R-polypharmacy1.0.0-lp156.8.1Calculate Several Polypharmacy Indicators
R-polypoly0.0.3-lp156.4.1Helper Functions for Orthogonal Polynomials
R-polyreg0.8.0-lp156.1.1Polynomial Regression
R-polySegratio0.2.5-lp156.2.1Simulate and Test Marker Dosage for Dominant Markers in Auto
R-polySegratioMM0.6.4-lp156.2.1Bayesian Mixture Models for Marker Dosage in Autopolyploids
R-PolyTree0.0.1-lp156.2.1Estimate Causal Polytree from Data
R-PolyTrend1.2-lp156.2.1Trend Classification Algorithm
R-pom1.1-lp156.3.1POM - Patch Occupancy Models
R-POMADE0.2.0-lp156.1.1Power for Meta-Analysis of Dependent Effects
R-pomcheckr0.1.1-lp156.9.1Graphical Check for Proportional Odds Assumption
R-pomdpSolve1.0.4-lp156.1.1Interface to \'pomdp-solve\' for Partially Observable Markov
R-Pomic1.0.4-lp156.2.1Pattern Oriented Modelling Information Criterion
R-POMS1.0.1-lp156.5.1Phylogenetic Organization of Metagenomic Signals
R-pooh0.3.2-lp156.2.1Partial Orders and Relations
R-PoolBal0.1.0-lp156.1.1Balancing Central and Marginal Rejection of Pooled p-Values
R-PoolDilutionR1.0.0-lp156.1.1Calculate Gross Biogeochemical Flux Rates from Isotope Pool
R-PooledCohort0.0.2-lp156.2.1Predicted Risk for CVD using Pooled Cohort Equations, PREVEN
R-PooledMeanGroup1.0-lp156.2.1Pooled Mean Group Estimation of Dynamic Heterogenous Panels
R-poolr1.1.1-lp156.1.1Methods for Pooling P-Values from (Dependent) Tests
R-poorman0.2.7-lp156.1.1A Poor Man\'s Dependency Free Recreation of \'dplyr\'
R-pop0.1-lp156.7.1A Flexible Syntax for Population Dynamic Modelling
R-pop.wolf1.0-lp156.1.1Models for Simulating Wolf Populations
R-popbio2.8-lp156.2.1Construction and analysis of matrix population models
R-POPdemog1.0.3-lp156.2.1Plot Population Demographic History
R-popEpi0.4.12-lp156.2.1Functions for Epidemiological Analysis using Population Data
R-PopGenKit1.0-lp156.2.1Useful functions for (batch) file conversion and data resamp
R-PopGenome2.7.5-lp156.2.1An Efficient Swiss Army Knife for Population Genomic Analyse
R-popgenr0.2-lp156.1.1Accompaniment to Population Genetics with R: An Introduction
R-POPInf1.0.0-lp156.1.1Assumption-Lean and Data-Adaptive Post-Prediction Inference
R-popkin1.3.23-lp156.2.1Estimate Kinship and FST under Arbitrary Population Structur
R-popKorn0.3.0-lp156.2.1For interval estimation of mean of selected populations
R-popPCR0.1.1.1-lp156.1.1Classify Digital PCR Droplets by Fitting Fluorescence Popula
R-poppr2.9.6-lp156.3.1Genetic Analysis of Populations with Mixed Reproduction
R-popprxl0.1.4-lp156.1.1Read GenAlEx Files Directly from Excel
R-popPyramid0.1.1-lp156.8.1Population Pyramids
R-popReconstruct1.0.6-lp156.2.1Reconstruct Human Populations of the Recent Past
R-popRF1.0.0-lp156.2.1Random Forest-Informed Population Disaggregation
R-popsom6.0-lp156.8.1An Efficient Implementation of Kohonen\'s Self-Organizing Ma
R-poptrend0.2.0-lp156.1.1Estimate Smooth and Linear Trends from Population Count Surv
R-population0.3-lp156.1.1Models for Simulating Populations
R-PopulationGrowthR0.1.1-lp156.4.1Linear Population Growth Scenarios
R-populR0.1.6-lp156.3.1Population Downscaling
R-PopVar1.3.1-lp156.1.1Genomic Breeding Tools: Genetic Variance Prediction and Cros
R-port4me0.7.1-lp156.2.1Get the Same, Personal, Free \'TCP\' Port over and over
R-portes6.0-lp156.2.1Portmanteau Tests for Time Series Models
R-portfolio.optimization1.0.0-lp156.4.1Contemporary Portfolio Optimization
R-PortfolioAnalysis1.1.1-lp156.4.1Portfolio Optimization Methods
R-PortfolioAnalytics1.1.0-lp156.2.1Portfolio Analysis, Including Numerical Methods for Optimiza
R-portfolioBacktest0.4.1-lp156.7.1Automated Backtesting of Portfolios over Multiple Datasets
R-portion0.1.0-lp156.1.1Extracting a Data Portion
R-portn1.0.0-lp156.1.1Portfolio Analysis for Nature
R-portsort0.1.0-lp156.2.1Factor-Based Portfolio Sorts
R-poset1.0.0-lp156.1.1Analysis of Partially Ordered Data
R-PoSI1.1-lp156.2.1Valid Post-Selection Inference for Linear LS Regression
R-PosRatioDist1.2.1-lp156.1.1Quotient of Random Variables Conditioned to the Positive Qua
R-POSSA0.6.4-lp156.1.1Power Simulation for Sequential Analyses and Multiple Hypoth
R-PostcodesioR0.3.1-lp156.1.1API Wrapper Around \'Postcodes.io\'
R-PosteriorBootstrap0.1.2-lp156.1.1Non-Parametric Sampling with Parallel Monte Carlo
R-postHoc0.1.3-lp156.7.1Tools for Post-Hoc Analysis
R-postinfectious0.1.0-lp156.2.1Estimating the Incubation Period Distribution of Post-Infect
R-postlightmercury1.2-lp156.12.1Parses Web Pages using Postlight Mercury
R-postlogic0.1.0.1-lp156.2.1Infix and Postfix Logic Operators
R-POSTm1.4-lp156.2.1Phylogeny-Guided OTU-Specific Association Test for Microbiom
R-POT1.1.10-lp156.1.1Generalized Pareto Distribution and Peaks Over Threshold
R-potions0.2.0-lp156.2.1Easy Options Management
R-potools0.2.4-lp156.1.1Tools for Internationalization and Portability in R Packages
R-potts0.5.11-lp156.1.1Markov Chain Monte Carlo for Potts Models
R-POV0.1.4-lp156.17.1Partition of Variation Variance Component Analysis Method
R-pow.int1.3-lp156.1.1Binary Exponentiation
R-powdist0.1.4-lp156.2.1Power and Reversal Power Distributions
R-Power2Stage0.5.4-lp156.4.1Power and Sample-Size Distribution of 2-Stage Bioequivalence
R-powerAnalysis0.2.1-lp156.2.1Power Analysis in Experimental Design
R-powerbiR0.1.0-lp156.1.1An Interface to the \'Power BI REST APIs\'
R-powerCompRisk1.0.1-lp156.2.1Power Analysis Tool for Joint Testing Hazards with Competing
R-powerEQTL0.3.4-lp156.1.1Power and Sample Size Calculation for Bulk Tissue and Single
R-powerGWASinteraction1.1.3-lp156.2.1Power Calculations for GxE and GxG Interactions for GWAS
R-powerindexR1.6-lp156.2.1Measuring the Power in Voting Systems
R-powerjoin0.1.0-lp156.5.1Extensions of \'dplyr\' and \'fuzzyjoin\' Join Functions
R-powerLATE0.1.2-lp156.2.1Generalized Power Analysis for LATE
R-poweRlaw0.80.0-lp156.1.1Analysis of Heavy Tailed Distributions
R-powerMediation0.3.4-lp156.1.1Power/Sample Size Calculation for Mediation Analysis
R-PowerNormal1.2.0-lp156.2.1Power Normal Distribution
R-powerpkg1.6-lp156.1.1Power analyses for the affected sib pair and the TDT design
R-powerplus3.1-lp156.2.1Exponentiation Operations
R-PowerSDI1.0.0-lp156.3.1Calculate Standardised Drought Indices Using NASA POWER Data
R-powerSurvEpi0.1.3-lp156.1.1Power and Sample Size Calculation for Survival Analysis of E
R-PowerTOST1.5.6-lp156.2.1Power and Sample Size for (Bio)Equivalence Studies
R-PowerUpR1.1.0-lp156.1.1Power Analysis Tools for Multilevel Randomized Experiments
R-powRICLPM0.1.1-lp156.2.1Perform Power Analysis for the Random Intercept Cross-Lagged
R-PP31.2-lp156.2.1Three-Dimensional Exploratory Projection Pursuit
R-ppcc1.2-lp156.2.1Probability Plot Correlation Coefficient Test
R-ppclust1.1.0.1-lp156.1.1Probabilistic and Possibilistic Cluster Analysis
R-ppcong0.0.2-lp156.11.1Interfacing with ProPublica\'s \'Congress\' API
R-ppcor1.1-lp156.2.1Partial and Semi-Partial (Part) Correlation
R-ppdiag0.1.1-lp156.1.1Diagnosis and Visualizations Tools for Temporal Point Proces
R-ppgm1.0.3-lp156.2.1PaleoPhyloGeographic Modeling of Climate Niches and Species
R-ppitables0.5.5-lp156.2.1Lookup Tables to Generate Poverty Likelihoods and Rates usin
R-ppmHR1.0-lp156.2.1Privacy-Protecting Hazard Ratio Estimation in Distributed Da
R-PPMiss0.1.1-lp156.1.1Copula-Based Estimator for Long-Range Dependent Processes un
R-ppmSuite0.3.4-lp156.1.1A Collection of Models that Employ Product Partition Distrib
R-ppRep0.42.3-lp156.1.1Analysis of Replication Studies using Power Priors
R-pps1.0-lp156.1.1PPS Sampling
R-ppsr0.0.5-lp156.1.1Predictive Power Score
R-PPTcirc0.2.3-lp156.4.1Projected Polya Tree for Circular Data
R-PPtree2.3.0-lp156.2.1Projection pursuit classification tree
R-pqantimalarials0.2-lp156.15.1web tool for estimating under-five deaths caused by poor-qua
R-pql0.1.0-lp156.2.1A Partitioned Quasi-Likelihood for Distributed Statistical I
R-prabclus2.3.3-lp156.1.1Functions for Clustering and Testing of Presence-Absence, Ab
R-pracma2.4.4-lp156.1.1Practical Numerical Math Functions
R-pracpac0.2.0-lp156.2.1Practical \'R\' Packaging in \'Docker\'
R-PracticalEquiDesign0.0.3-lp156.9.1Design of Practical Equivalence Trials
R-pragma0.1.3-lp156.2.1Provides a pragma / directive / keyword syntax for R.
R-prais1.1.2-lp156.1.1Prais-Winsten Estimator for AR(1) Serial Correlation
R-praise1.0.0-lp156.2.1Praise Users
R-praktikum0.1-lp156.2.1Kvantitatiivsete meetodite praktikumi asjad / Functions used
R-praznik11.0.0-lp156.1.1Tools for Information-Based Feature Selection and Scoring
R-prc2019.1.23-lp156.1.1Paired Response Curve
R-prcr0.2.1-lp156.18.1Person-Centered Analysis
R-precintcon2.3.0-lp156.14.1Precipitation Intensity, Concentration and Anomaly Analysis
R-precisely0.1.2-lp156.11.1Estimate Sample Size Based on Precision Rather than Power
R-precisePlacement0.1.0-lp156.1.1Suite of Functions to Help Get Plot Elements Exactly Where Y
R-precondition0.1.0-lp156.1.1Lightweight Precondition, Postcondition, and Sanity Checks
R-predfairness0.1.0-lp156.1.1Discrimination Mitigation for Machine Learning Models
R-prediction0.3.18-lp156.1.1Tidy, Type-Safe \'prediction()\' Methods
R-PredictiveRegression0.1.4-lp156.2.1Prediction Intervals for Three Basic Statistical Models
R-predictMe0.1-lp156.7.1Visualize Individual Prediction Performance
R-predictNMB0.2.1-lp156.2.1Evaluate Clinical Prediction Models by Net Monetary Benefit
R-PredictorSelect0.1.0-lp156.1.1Out-of-Sample Predictability in Predictive Regressions with
R-predictrace2.0.1-lp156.1.1Predict the Race and Gender of a Given Name Using Census and
R-predicts0.1.11-lp156.1.1Spatial Prediction Tools
R-predmixcor1.1.1-lp156.2.1Classification rule based on Bayesian mixture models with fe
R-predReliability0.1.0-lp156.2.1Estimates Reliability of Individual Supervised Learning Pred
R-predtoolsTS0.1.1-lp156.10.1Time Series Prediction Tools
R-pref0.4.0-lp156.1.1Preference Voting with Explanatory Graphics
R-prefeR0.1.3-lp156.1.1R Package for Pairwise Preference Elicitation
R-preference1.1.6-lp156.18.12-Stage Preference Trial Design and Analysis
R-prefio0.1.1-lp156.2.1Structures for Preference Data
R-prefmod0.8.36-lp156.1.1Utilities to Fit Paired Comparison Models for Preferences
R-prenoms0.0.1-lp156.6.1Names Given to Babies in Quebec Between 1980 and 2020
R-pRepDesigns1.2.0-lp156.2.1Partially Replicated (p-Rep) Designs
R-prepplot1.0.1-lp156.1.1Prepare Figure Region for Base Graphics
R-PreProcess3.1.7-lp156.2.1Basic Functions for Pre-Processing Microarrays
R-PreProcessing0.1.0-lp156.7.1Various Preprocessing Transformations of Numeric Data Matric
R-PreProcessRecordLinkage1.0.1-lp156.3.1Preprocessing Record Linkage
R-preputils1.0.3-lp156.2.1Utilities for Preparation of Data Analysis
R-PresenceAbsence1.1.11-lp156.1.1Presence-Absence Model Evaluation
R-presens2.1.0-lp156.13.1Interface for PreSens Fiber Optic Data
R-presentes0.1.0-lp156.2.1Registry of Victims of State Terrorism in Argentina
R-preseqR4.0.0-lp156.2.1Predicting Species Accumulation Curves
R-presize0.3.7-lp156.4.1Precision Based Sample Size Calculation
R-presmTP1.1.0-lp156.3.1Methods for Transition Probabilities
R-PressPurt1.0.2-lp156.17.1Indeterminacy of Networks via Press Perturbations
R-pressuRe0.2.4-lp156.2.1Imports, Processes, and Visualizes Biomechanical Pressure Da
R-pretest0.2-lp156.1.1A Novel Approach to Predictive Accuracy Testing in Nested En
R-prettifyAddins2.6.1-lp156.4.1\'RStudio\' Addins to Prettify \'JavaScript\', \'C++\', \'Py
R-prettyB0.2.2-lp156.1.1Pretty Base Graphics
R-prettycode1.1.0-lp156.2.1Pretty Print R Code in the Terminal
R-PrettyCols1.1.0-lp156.1.1Pretty Colour Palettes
R-prettyGraphs2.1.6-lp156.2.1Publication-Quality Graphics
R-prettymapr0.2.5-lp156.1.1Scale Bar, North Arrow, and Pretty Margins in R
R-prettyR2.2.3-lp156.2.1Pretty Descriptive Stats
R-prettyunits1.2.0-lp156.1.1Pretty, Human Readable Formatting of Quantities
R-prevederer0.0.1-lp156.2.1Wrapper for the \'Prevedere\' API
R-prevtoinc0.12.0-lp156.15.1Prevalence to Incidence Calculations for Point-Prevalence St
R-pricelevels1.3.0-lp156.1.1Spatial Price Level Comparisons
R-pricesensitivitymeter1.3.0-lp156.2.1Van Westendorp Price Sensitivity Meter Analysis
R-prim1.0.21-lp156.2.1Patient Rule Induction Method (PRIM)
R-primate0.2.0-lp156.1.1Tools and Methods for Primatological Data Science
R-primefactr0.1.1-lp156.2.1Use Prime Factorization for Computations
R-primePCA1.2-lp156.1.1Projected Refinement for Imputation of Missing Entries in PC
R-primer1.2.0-lp156.16.1Functions and Data for the Book, a Primer of Ecology with R
R-primerTree1.0.6-lp156.9.1Visually Assessing the Specificity and Informativeness of Pr
R-PrInDT1.0.1-lp156.2.1Prediction and Interpretation in Decision Trees for Classifi
R-prinsimp0.8.8-lp156.2.1Finding and plotting simple basis vectors for multivariate d
R-prinvars1.0.0-lp156.1.1Principal Variables
R-PriorGen2.0-lp156.1.1Generates Prior Distributions for Proportions
R-prioritizrdata0.3.2-lp156.2.1Conservation Planning Datasets
R-prism0.2.1-lp156.2.1Access Data from the Oregon State Prism Climate Project
R-PRISMA0.2.7-lp156.14.1Protocol Inspection and State Machine Analysis
R-prismatic1.1.2-lp156.2.1Color Manipulation Tools
R-prisonbrief0.1.2-lp156.20.1Downloads and Parses World Prison Brief Data
R-prithulib1.0.2-lp156.2.1Perform Random Experiments
R-PrivateLR1.2.22-lp156.2.1Differentially Private Regularized Logistic Regression
R-prnsamplr0.3.0-lp156.1.1Permanent Random Number Sampling
R-pro0.1.1-lp156.2.1Point-Process Response Model for Optogenetics
R-prob1.0.1-lp156.2.1Elementary Probability on Finite Sample Spaces
R-ProbBayes1.1-lp156.20.1Probability and Bayesian Modeling
R-probemod0.2.1-lp156.2.1Statistical Tools for Probing Moderation Effects
R-probFDA1.0.1-lp156.2.1Probabilistic Fisher Discriminant Analysis
R-ProbForecastGOP1.3.2-lp156.2.1Probabilistic weather forecast using the GOP method
R-probhat0.4.1-lp156.1.1Multivariate Generalized Kernel Smoothing and Related Statis
R-ProbMarg1.0.1-lp156.2.1Computing Logit & Probit Predicted Probabilities & Marginal
R-probout1.1.2-lp156.1.1Unsupervised Multivariate Outlier Probabilities for Large Da
R-ProbSamplingI2.0-lp156.1.1Probabilistic Sampling Design and Strategies
R-ProbYX1.1.0.1-lp156.1.1Inference for the Stress-Strength Model R = P(Y
R-proccalibrad0.14-lp156.2.1Extraction of Bands from MODIS Calibrated Radiances MOD02 NR
R-proceduralnames0.2.2-lp156.1.1Several Methods for Procedural Name Generation
R-processcheckR0.1.4-lp156.10.1Rule-Based Conformance Checking of Business Process Event Da
R-processmonitR0.1.0-lp156.23.1Building Process Monitoring Dashboards
R-processx3.8.4-lp156.2.1Execute and Control System Processes
R-procmaps0.0.5-lp156.1.1Portable Address Space Mapping
R-ProcMod1.0.8-lp156.1.1Informative Procrustean Matrix Correlation
R-procs1.0.6-lp156.2.1Recreates Some \'SAS®\' Procedures in \'R\'
R-ProDenICA1.1-lp156.1.1Product Density Estimation for ICA using Tilted Gaussian Den
R-productivity1.1.0-lp156.3.1Indices of Productivity Using Data Envelopment Analysis (DEA
R-productplots0.1.1-lp156.14.1Product Plots for R
R-prof.tree0.1.0-lp156.4.1An Alternative Display Profiling Data as Tree Structure
R-ProfessR2.4.3-lp156.1.1Grades Setting and Exam Maker
R-profile1.0.3-lp156.2.1Read, Manipulate, and Write Profiler Data
R-ProfileLikelihood1.3-lp156.1.1Profile Likelihood for a Parameter in Commonly Used Statisti
R-profileModel0.6.1-lp156.1.1Profiling Inference Functions for Various Model Classes
R-profileR0.3.5-lp156.16.1Profile Analysis of Multivariate Data in R
R-profiplots0.2.3-lp156.1.1Profinit Plotting Theme
R-ProFit1.3.3-lp156.3.1Fit Projected 2D Profiles to Galaxy Images
R-profmem0.6.0-lp156.2.1Simple Memory Profiling for R
R-ProfoundData0.2.1-lp156.6.1Downloading and Exploring Data from the PROFOUND Database
R-profr0.3.3-lp156.7.1An Alternative Display for Profiling Information
R-profrep1.0.0-lp156.1.1Profile Repeatability
R-proftools0.99.3-lp156.2.1Profile Output Processing Tools for R
R-prognosticROC0.7-lp156.2.1Prognostic ROC curves for evaluating the predictive capacity
R-progress1.2.3-lp156.1.1Terminal Progress Bars
R-progressr0.14.0-lp156.1.1An Inclusive, Unifying API for Progress Updates
R-PROJ0.5.0-lp156.1.1Generic Coordinate System Transformations Using \'PROJ\'
R-projections0.6.0-lp156.1.1Project Future Case Incidence
R-projects2.1.3-lp156.14.1A Project Infrastructure for Researchers
R-projmgr0.1.1-lp156.3.1Task Tracking and Project Management with GitHub
R-ProliferativeIndex1.0.1-lp156.2.1Calculates and Analyzes the Proliferative Index
R-prolific.api0.5.2-lp156.1.1A User-Friendly Interface for Accessing the Prolific API
R-PROMETHEE1.1-lp156.2.1Preference Ranking Organization METHod for Enrichment of Eva
R-promethee1230.1.0-lp156.12.1PROMETHEE I, II, and III Methods
R-PrometheeTools0.1.0-lp156.1.1PROMETHEE and GLNF for Ranking and Sorting Problems
R-promote1.1.1-lp156.7.1Client for the \'Alteryx Promote\' API
R-prompt1.0.2-lp156.1.1Dynamic \'R\' Prompt
R-prompter1.2.0-lp156.2.1Add Tooltips in \'Shiny\' Apps with \'Hint.css\'
R-promr0.1.3-lp156.3.1Prometheus \'PromQL\' Query Client for \'R\'
R-prop.comb.RR1.2-lp156.2.1Analyzing Combination of Proportions and Relative Risk
R-PropCIs0.3.0-lp156.2.1Various Confidence Interval Methods for Proportions
R-PropClust1.4.7-lp156.1.1Propensity Clustering and Decomposition
R-properties0.0.9-lp156.2.1Parse \'Java\' Properties Files for \'R Service Bus\' Applic
R-proportion2.0.0-lp156.9.1Inference on Single Binomial Proportion and Bayesian Computa
R-proporz1.5.0-lp156.2.1Proportional Apportionment
R-PropScrRand1.1.2-lp156.2.1Propensity Score Methods for Assigning Treatment in Randomiz
R-proPubBills0.1-lp156.17.1\'ProPublica\' U.S. Congress Bills API Wrapper
R-ProPublicaR1.1.4-lp156.2.1Access Functions for ProPublica\'s APIs
R-PROscorer0.0.4-lp156.1.1Functions to Score Commonly-Used Patient-Reported Outcome (P
R-PROscorerTools0.0.4-lp156.1.1Tools to Score Patient-Reported Outcome (PRO) and Other Psyc
R-PROSPER0.3.3-lp156.2.1Simulation of Weed Population Dynamics
R-protag1.0.0-lp156.16.1Search Tagged Peptides & Draw Highlighted Mass Spectra
R-protein8k0.0.1-lp156.13.1Perform Analysis and Create Visualizations of Proteins
R-ProteinDescriptors0.1.0-lp156.2.1Generates Various Protein Descriptors for Machine Learning A
R-ProteoBayes1.0.0-lp156.2.1Bayesian Statistical Tools for Quantitative Proteomics
R-proteomicdesign2.0-lp156.2.1Optimization of a multi-stage proteomic study
R-proteomics0.2-lp156.9.1Statistical Analysis of High Throughput Proteomics Data
R-protHMM0.1.1-lp156.1.1Protein Feature Extraction from Profile Hidden Markov Models
R-proto1.0.0-lp156.2.1Prototype object-based programming
R-protoclass1.0-lp156.2.1Interpretable classification with prototypes
R-protoclust1.6.4-lp156.1.1Hierarchical Clustering with Prototypes
R-PROTOLIDAR0.1-lp156.2.1PRocess TOol LIdar DAta in R
R-proton1.0-lp156.2.1The Proton Game
R-ProTrackR0.4.3-lp156.1.1Manipulate and Play \'ProTracker\' Modules
R-proustr0.4.0-lp156.17.1Tools for Natural Language Processing in French
R-provDebugR1.0.1-lp156.6.1A Time-Travelling Debugger
R-provenance4.3-lp156.2.1Statistical Toolbox for Sedimentary Provenance Analysis
R-proverbs0.4.0-lp156.2.1Print a Daily Bible Proverb to Console
R-provExplainR1.1.1-lp156.6.1Compare Provenance Collections to Explain Changed Script Out
R-provGraphR1.0.1-lp156.5.1Creates Adjacency Matrices for Lineage Searches
R-provParseR1.0-lp156.1.1Pulls Information from Prov.Json Files
R-provSummarizeR1.5.1-lp156.1.1Summarizes Provenance Related to Inputs and Outputs of a Scr
R-provTraceR1.0-lp156.2.1Uses Provenance to Trace File Lineage for One or more R Scri
R-provViz1.0.9-lp156.1.1Provenance Visualizer
R-proxirr0.4-lp156.1.1Alpha and Beta Proximity to Irreplaceability
R-proxy0.4.27-lp156.1.1Distance and Similarity Measures
R-prozor0.3.1-lp156.9.1Minimal Protein Set Explaining Peptide Spectrum Matches
R-PRP0.1.1-lp156.1.1Bayesian Prior and Posterior Predictive Replication Assessme
R-prrd0.0.6-lp156.2.1Parallel Runs of Reverse Depends
R-PRROC1.3.1-lp156.2.1Precision-Recall and ROC Curves for Weighted and Unweighted
R-PRSim1.5-lp156.2.1Stochastic Simulation of Streamflow Time Series using Phase
R-pRSR3.1.1-lp156.2.1Test of Periodicity using Response Surface Regression
R-prt0.2.0-lp156.1.1Tabular Data Backed by Partitioned \'fst\' Files
R-PSAgraphics2.1.3-lp156.2.1Propensity Score Analysis Graphics
R-PSAWR0.1.0-lp156.1.1\'Pushshift\' API Wrapper for \'Reddit\' Submission and Comm
R-psborrow20.0.3.4-lp156.2.1Bayesian Dynamic Borrowing Analysis and Simulation
R-pscl1.5.9-lp156.1.1Political Science Computational Laboratory
R-PScr1.1-lp156.1.1Estimation for the Power Series Cure Rate Model
R-psda1.4.0-lp156.13.1Polygonal Symbolic Data Analysis
R-PSDistr0.0.1-lp156.1.1Distributions Derived from Normal Distribution
R-pseval1.3.1-lp156.2.1Methods for Evaluating Principal Surrogates of Treatment Res
R-PSF0.5-lp156.1.1Forecasting of Univariate Time Series Using the Pattern Sequ
R-PSGoft0.0.1-lp156.1.1Modified Lilliefors Goodness-of-Fit Normality Test
R-psica1.0.2-lp156.3.1Decision Tree Analysis for Probabilistic Subgroup Identifica
R-psidR2.2-lp156.1.1Build Panel Data Sets from PSID Raw Data
R-psidread1.0.3-lp156.3.1Streamline Building Panel Data from Panel Study of Income Dy
R-PSIndependenceTest0.0.1-lp156.1.1Independence Tests for Two-Way, Three-Way and Four-Way Conti
R-PSLM20150.2.0-lp156.16.1Pakistan Social and Living Standards Measurement Survey 2014
R-psmineR0.1.0-lp156.8.1Performance Spectrum Miner for Event Data
R-pso1.0.4-lp156.1.1Particle Swarm Optimization
R-psoptim1.0-lp156.2.1Particle Swarm Optimization
R-pspatreg1.1.2-lp156.1.1Spatial and Spatio-Temporal Semiparametric Regression Models
R-pspearman0.3.1-lp156.1.1Spearman\'s Rank Correlation Test
R-pspline1.0.20-lp156.2.1Penalized Smoothing Splines
R-pspline.inference1.0.4-lp156.12.1Estimation of Characteristics of Seasonal and Sporadic Infec
R-PSPManalysis0.3.9-lp156.3.1Analysis of Physiologically Structured Population Models
R-PSPManalysis-devel0.3.9-lp156.3.1Development files for PSPManalysis
R-psr0.1.0-lp156.9.1Functions for Analyzing Performance Science Data
R-PSSIM0.1.0-lp156.2.1Test of Independence & Image Structural Similarity Measure P
R-pssm1.1-lp156.2.1Piecewise Exponential Model for Time to Progression and Time
R-PSSMCOOL0.2.4-lp156.1.1Features Extracted from Position Specific Scoring Matrix (PS
R-PST0.94.1-lp156.1.1Probabilistic Suffix Trees and Variable Length Markov Chains
R-Pstat1.2-lp156.2.1Assessing Pst Statistics
R-pstest0.1.3.900-lp156.2.1Specification Tests for Parametric Propensity Score Models
R-PsumtSim0.4-lp156.2.1Simulations of grouped responses relative to baseline.
R-psy1.2-lp156.1.1Various Procedures Used in Psychometrics
R-psycCleaning0.1.1-lp156.2.1Data Cleaning for Psychological Analyses
R-psychmeta2.7.0-lp156.1.1Psychometric Meta-Analysis Toolkit
R-psychmetadata1.0.0-lp156.1.1Open Datasets from Meta-Analyses in Psychology Research
R-psycho0.6.1-lp156.18.1Efficient and Publishing-Oriented Workflow for Psychological
R-psychometric2.4-lp156.1.1Applied Psychometric Theory
R-psychotools0.7.4-lp156.2.1Psychometric Modeling Infrastructure
R-psychotree0.16.1-lp156.2.1Recursive Partitioning Based on Psychometric Models
R-psymetadata1.0.1-lp156.1.1Open Datasets from Meta-Analyses in Psychology Research
R-psymonitor0.0.2-lp156.2.1Real Time Monitoring of Asset Markets: Bubbles and Crisis
R-psyphy0.3-lp156.1.1Functions for analyzing psychophysical data in R
R-psyverse0.2.6-lp156.1.1Decentralized Unequivocality in Psychological Science
R-PTAk2.0.0-lp156.1.1Principal Tensor Analysis on k modes
R-PTE1.7-lp156.2.1Personalized Treatment Evaluator
R-PTERP1.0-lp156.1.1PTE and RP for Optimally-Transformed Surrogate
R-ptinpoly2.8-lp156.2.1Point-in-Polyhedron Test (2D and 3D)
R-pTITAN21.0.2-lp156.1.1Permutations of Treatment Labels and TITAN2 Analysis
R-ptools2.0.0-lp156.6.1Tools for Poisson Data
R-PtProcess3.3.16-lp156.1.1Time Dependent Point Process Modelling
R-ptspotter1.0.2-lp156.2.1Helper Functions for Use with \"ProjectTemplate\"
R-PTSR0.1.2-lp156.2.1Positive Time Series Regression
R-pttstability1.4-lp156.1.1Particle-Takens Stability
R-ptvapi2.0.5-lp156.1.1Access the \'Public Transport Victoria\' Timetable API
R-ptw1.9.16-lp156.2.1Parametric Time Warping
R-ptwikiwords0.0.3-lp156.2.1Words Used in Portuguese Wikipedia
R-PTwins0.1.1-lp156.2.1Percentile Estimation of Fetal Weight for Twins by Chorionic
R-ptycho1.1.4-lp156.6.1Bayesian Variable Selection with Hierarchical Priors
R-PubBias1.0-lp156.2.1Performs simulation study to look for publication bias, usin
R-public.ctn0094data1.0.6-lp156.1.1De-Identified Data from CTN-0094
R-public.ctn0094extra1.0.4-lp156.2.1Helper Files for the CTN-0094 Relational Database
R-PublicationBias2.4.0-lp156.1.1Sensitivity Analysis for Publication Bias in Meta-Analyses
R-Publish2023.01.17-lp156.4.1Format Output of Various Routines in a Suitable Way for Repo
R-PubMedMining1.0.0-lp156.7.1Text-Mining of the \'PubMed\' Repository
R-pubmedR0.0.3-lp156.3.1Gathering Metadata About Publications, Grants, Clinical Tria
R-pubmedtk1.0.4-lp156.2.1\'Pubmed\' Toolkit
R-PubMedWordcloud0.3.6-lp156.7.1\'Pubmed\' Word Clouds
R-pubtatordb0.1.4-lp156.14.1Create and Query a Local \'PubTator\' Database
R-PUGMM0.1.0-lp156.2.1Parsimonious Ultrametric Gaussian Mixture Models
R-pullword0.3-lp156.2.1R Interface to Pullword Service
R-puls0.1.2-lp156.18.1Partitioning Using Local Subregions
R-pulsar0.3.11-lp156.1.1Parallel Utilities for Lambda Selection along a Regularizati
R-pumilioR1.3.1-lp156.4.1Pumilio in R
R-PUPAIM0.3.1-lp156.6.1A Collection of Physical and Chemical Adsorption Isotherm Mo
R-PUPAK0.1.1-lp156.6.1Parameter Estimation, and Plot Visualization of Adsorption K
R-PupillometryR0.0.5-lp156.2.1A Unified Pipeline for Pupillometry Data
R-PupilPre0.6.2-lp156.21.1Preprocessing Pupil Size Data
R-PUPMSI0.1.0-lp156.6.1Moisture Sorption Isotherm Modeling Program
R-puremoe1.0.1-lp156.2.1Pubmed Unified REtrieval for Multi-Output Exploration
R-purge0.2.1-lp156.2.1Purge Training Data from Models
R-purging1.0.0-lp156.2.1Simple Method for Purging Mediation Effects among Independen
R-purrr1.0.2-lp156.1.1Functional Programming Tools
R-pushbar0.1.0-lp156.13.1Create Sliders for \'Shiny\'
R-pushoverr1.1.0-lp156.3.1Send Push Notifications using \'Pushover\'
R-pvaluefunctions1.6.2-lp156.7.1Creates and Plots P-Value Functions, S-Value Functions, Conf
R-pvclass1.4-lp156.2.1P-Values for Classification
R-pvclust2.2.0-lp156.2.1Hierarchical Clustering with P-Values via Multiscale Bootstr
R-pvcurveanalysis1.0.0-lp156.7.1Analysis of Pressure Volume Curves
R-pvda0.0.3-lp156.2.1Disproportionality Functions for Pharmacovigilance
R-pvldcurve1.2.6-lp156.14.1Simplifies the Analysis of Pressure Volume and Leaf Drying C
R-pvLRT0.5.1-lp156.5.1Likelihood Ratio Test-Based Approaches to Pharmacovigilance
R-PVplr0.1.2-lp156.7.1Performance Loss Rate Analysis Pipeline
R-PVR0.3-lp156.4.1Phylogenetic Eigenvectors Regression and Phylogentic Signal-
R-pvsR0.3-lp156.3.1An R package to interact with the Project Vote Smart API for
R-PWEALL1.3.0.1-lp156.1.1Design and Monitoring of Survival Trials Accounting for Comp
R-PWEXP0.5.0-lp156.2.1Piecewise Exponential Distribution Prediction Model
R-pwr1.3.0-lp156.2.1Basic Functions for Power Analysis
R-pwr21.0-lp156.2.1Power and Sample Size Analysis for One-way and Two-way ANOVA
R-pwrAB0.1.0-lp156.2.1Power Analysis for AB Testing
R-pwrFDR2.8.9-lp156.1.1FDR Power
R-pwrRasch0.1.2-lp156.2.1Statistical Power Simulation for Testing the Rasch Model
R-pwrss0.3.1-lp156.1.1Statistical Power and Sample Size Calculation Tools
R-pwt7.1.1-lp156.2.1Penn World Table (Versions 5.6, 6.x, 7.x)
R-pwt1010.01.0-lp156.1.1Penn World Table (Version 10.x)
R-pwt88.1.1-lp156.2.1Penn World Table (Version 8.x)
R-pwt99.1.0-lp156.2.1Penn World Table (Version 9.x)
R-pxR0.42.7-lp156.4.1PC-Axis with R
R-pxweb0.17.0-lp156.1.1R Interface to PXWEB APIs
R-PxWebApiData0.9.0-lp156.1.1PX-Web Data by API
R-pyinit1.1.3-lp156.1.1Pena-Yohai Initial Estimator for Robust S-Regression
R-pyMTurkR1.1.6-lp156.2.1A Client for the \'MTurk\' Requester API
R-pyramid1.5-lp156.2.1Draw Population Pyramid
R-pzfx0.3.0-lp156.3.1Read and Write \'GraphPad Prism\' Files
R-Q2q0.1.0-lp156.2.1Interpolating Age-Specific Mortality Rates at All Ages
R-Q70.1.0-lp156.4.1Types and Features for Object Oriented Programming
R-QAIG0.1.7-lp156.7.1Automatic Item Generator for Quantitative Multiple-Choice It
R-qap0.1.2-lp156.1.1Heuristics for the Quadratic Assignment Problem (QAP)
R-Qapprox0.2.0-lp156.1.1Approximation to the Survival Functions of Quadratic Forms o
R-qat0.74-lp156.7.1Quality Assurance Toolkit
R-QBMS1.0.0-lp156.2.1Query the Breeding Management System(s)
R-qboxplot0.2-lp156.2.1Quantile-Based Boxplot
R-QCA3.22-lp156.3.1Qualitative Comparative Analysis
R-QCAcluster0.1.0-lp156.13.1Tools for the Analysis of Clustered Data in QCA
R-QCAfalsePositive1.1.1-lp156.2.1Tests for Type I Error in Qualitative Comparative Analysis (
R-QCApro1.1.2-lp156.2.1Advanced Functionality for Performing and Evaluating Qualita
R-QCAtools0.2.3-lp156.21.1Helper Functions for QCA in R
R-qcc2.7-lp156.2.1Quality Control Charts
R-qccrs0.1.0-lp156.15.1Quality Control Charts under Repetitive Sampling
R-QCEWAS1.2.3-lp156.1.1Fast and Easy Quality Control of EWAS Results Files
R-QCGWAS1.0.9-lp156.1.1Quality Control of Genome Wide Association Study Results
R-qch1.0.0-lp156.4.1Query Composed Hypotheses
R-qcQpcr1.5-lp156.14.1Histone ChIP-Seq qPCR Analyzer
R-qcr1.4-lp156.8.1Quality Control Review
R-QCSimulator0.0.1-lp156.14.1A 5-Qubit Quantum Computing Simulator
R-QCSIS0.1-lp156.2.1Sure Independence Screening via Quantile Correlation and Com
R-qcv1.0-lp156.2.1Quantifying Construct Validity
R-qdapDictionaries1.0.7-lp156.2.1Dictionaries and Word Lists for the \'qdap\' Package
R-qdapRegex0.7.8-lp156.2.1Regular Expression Removal, Extraction, and Replacement Tool
R-qdapTools1.3.7-lp156.1.1Tools for the \'qdap\' Package
R-QDComparison3.0-lp156.2.1Modern Nonparametric Tools for Two-Sample Quantile and Distr
R-QDiabetes1.0.2-lp156.1.1Type 2 Diabetes Risk Calculator
R-qdm0.1.0-lp156.2.1Fitting a Quadrilateral Dissimilarity Model to Same-Differen
R-QFASA1.0.3-lp156.2.1Quantitative Fatty Acid Signature Analysis
R-qfasar1.2.1-lp156.2.1Quantitative Fatty Acid Signature Analysis in R
R-QFRM1.0.1-lp156.2.1Pricing of Vanilla and Exotic Option Contracts
R-QGA1.0-lp156.2.1Quantum Genetic Algorithm
R-qgam1.3.4-lp156.8.1Smooth Additive Quantile Regression Models
R-QGameTheory0.1.2-lp156.12.1Quantum Game Theory Simulator
R-QGglmm0.7.4-lp156.3.1Estimate Quantitative Genetics Parameters from Generalised L
R-qgtools2.0-lp156.2.1Generalized Quantitative Genetics Data Analyses
R-QHOT0.1.0-lp156.2.1QTL Hotspot Detection
R-QI0.1.0-lp156.6.1Quantity-Intensity Relationship of Soil Potassium
R-qicharts20.7.5-lp156.2.1Quality Improvement Charts
R-qif1.5-lp156.2.1Quadratic Inference Function
R-qiitr0.1.1-lp156.5.1R Interface to Qiita API
R-Qindex0.1.5-lp156.1.1Continuous and Dichotomized Index Predictors Based on Distri
R-Qindex.data0.1.1-lp156.2.1Data for Package \'Qindex\'
R-qkerntool1.19-lp156.2.1Q-Kernel-Based and Conditionally Negative Definite Kernel-Ba
R-QKPIs1.0-lp156.1.1Quantitative Key Performance Indicators
R-qlcData0.3-lp156.2.1Processing Data for Quantitative Language Comparison
R-qlcMatrix0.9.8-lp156.2.1Utility Sparse Matrix Functions for Quantitative Language Co
R-qLearn1.0-lp156.2.1Estimation and inference for Q-learning
R-QLearning0.1.1-lp156.2.1Reinforcement Learning using the Q Learning Algorithm
R-qMRI1.2.7.6-lp156.2.1Methods for Quantitative Magnetic Resonance Imaging (\'qMRI\
R-qmrparser0.1.6-lp156.1.1Parser Combinator in R
R-qmvs0.2.0-lp156.1.1Queueing Model of Visual Search
R-qoi0.1.0-lp156.2.1Read and Write QOI Images
R-QoLMiss0.1.0-lp156.7.1Scales Score Calculation from Quality of Life Data
R-qoma.smuggler0.0.1-lp156.6.1Transport Data and Commands Across the \'FAME\' / \'R\' Bord
R-QPmin0.5.1-lp156.1.1Linearly Constrained Indefinite Quadratic Program Solver
R-qqboxplot0.3.0-lp156.2.1Implementation of the Q-Q Boxplot
R-qqman0.1.9-lp156.1.1Q-Q and Manhattan Plots for GWAS Data
R-QQperm1.0.1-lp156.2.1Permutation Based QQ Plot and Inflation Factor Estimation
R-qqplotr0.0.6-lp156.4.1Quantile-Quantile Plot Extensions for \'ggplot2\'
R-qqtest1.2.0-lp156.2.1Self Calibrating Quantile-Quantile Plots for Visual Testing
R-qqvases1.0.0-lp156.13.1Animated Normal Quantile-Quantile Plots
R-QR0.1.3-lp156.1.1QR Factorization without Pivoting
R-QRISK30.6.0-lp156.1.110-Year Cardiovascular Disease Risk Calculator (QRISK3 2017)
R-qrmdata2024.03.04.2-lp156.2.1Data Sets for Quantitative Risk Management Practice
R-qrng0.0.10-lp156.2.1(Randomized) Quasi-Random Number Generators
R-qrnn2.1.1-lp156.2.1Quantile Regression Neural Network
R-QSARdata1.3-lp156.2.1Quantitative Structure Activity Relationship (QSAR) Data Set
R-qsimulatR1.1.1-lp156.1.1A Quantum Computer Simulator
R-qslice0.3.1-lp156.2.1Implementations of Various Slice Samplers
R-qsort0.2.3-lp156.14.1Scoring Q-Sort Data
R-qst0.1.2-lp156.16.1Store Tables in SQL Database
R-qtlbook0.18.8-lp156.2.1Datasets for the R/qtl Book
R-qtlDesign0.953-lp156.2.1Design of QTL (Quantitative Trait Locus) Experiments
R-qtlhot1.0.4-lp156.3.1Inference for QTL Hotspots
R-qtlmt0.1.6-lp156.2.1Tools for Mapping Multiple Complex Traits
R-QTLRel1.14-lp156.1.1Tools for Mapping of Quantitative Traits of Genetically Rela
R-qtwAcademic2022.12.13-lp156.2.1\'Quarto\' Website Templates for Academics
R-quad1.0-lp156.2.1Exact permutation moments of quadratic form statistics
R-quadcleanR1.1.0-lp156.1.1Cleanup and Visualization of Quadrat Data
R-quadform0.0.2-lp156.2.1Efficient Evaluation of Quadratic Forms
R-quadmatrix0.1.0-lp156.3.1Solving Quadratic Matrix Equations
R-quadprog1.5.8-lp156.2.1Functions to solve Quadratic Programming Problems
R-quadprogXT0.0.5-lp156.2.1Quadratic Programming with Absolute Value Constraints
R-quadraticSD0.1.0-lp156.6.1Visualizing the SD using a Quadratic Curve
R-QuadRoot0.2.1-lp156.1.1Quadratic Root for any Quadratic Equation
R-qualCI0.1-lp156.2.1Causal Inference with Qualitative and Ordinal Information on
R-QualInt1.0.0-lp156.9.1Test for Qualitative Interactions
R-qualitycontrol0.1.0-lp156.9.1Unified Framework for Data Quality Control
R-qualityTools1.55-lp156.2.1Statistical Methods for Quality Science
R-qualtRics3.2.0-lp156.1.1Download \'Qualtrics\' Survey Data
R-qualV0.3.5-lp156.1.1Qualitative Validation Methods
R-qualvar0.2.0-lp156.2.1Implements Indices of Qualitative Variation Proposed by Wilc
R-qualypsoss1.0.0-lp156.2.1Uncertainties of Climate Projections using Smoothing Splines
R-Quandl2.11.0-lp156.1.1API Wrapper for Quandl.com
R-quantable0.3.6-lp156.14.1Streamline Descriptive Analysis of Quantitative Data Matrice
R-QuantBondCurves0.3.0-lp156.2.1Calculates Bond Values and Interest Rate Curves for Finance
R-quantileDA1.2-lp156.2.1Quantile Classifier
R-QuantileGradeR0.1.1-lp156.2.1Quantile-Adjusted Restaurant Grading
R-QuantileNPCI0.9.0-lp156.2.1Nonparametric Confidence Intervals for Quantiles
R-quantkriging0.1.0-lp156.15.1Quantile Kriging for Stochastic Simulations with Replication
R-quantmod0.4.26-lp156.1.1Quantitative Financial Modelling Framework
R-QuantNorm1.0.5-lp156.2.1Mitigating the Adverse Impact of Batch Effects in Sample Pat
R-QuantPsyc1.6-lp156.6.1Quantitative Psychology Tools
R-QuantumClone1.0.0.6-lp156.4.1Clustering Mutations using High Throughput Sequencing (HTS)
R-QuantumOps3.0.1-lp156.2.1Performs Common Linear Algebra Operations Used in Quantum Co
R-quarrint1.0.0-lp156.2.1Interaction Prediction Between Groundwater and Quarry Extens
R-quartets0.1.1-lp156.1.1Datasets to Help Teach Statistics
R-quaxnat1.0.0-lp156.1.1Estimation of Natural Regeneration Potential
R-QuClu1.0.1-lp156.1.1Quantile-Based Clustering Algorithms
R-queryparser0.3.2-lp156.1.1Translate \'SQL\' Queries into \'R\' Expressions
R-queryup1.0.5-lp156.1.1Query the \'UniProtKB\' REST API
R-questionr0.7.8-lp156.6.1Functions to Make Surveys Processing Easier
R-QuESTr0.1.1-lp156.6.1Constructing Quantitative Environment Sensor using Transcrip
R-queueing0.2.12-lp156.2.1Analysis of Queueing Networks and Models
R-quhomology1.1.1-lp156.2.1Calculation of Homology of Quandles, Racks, Biquandles and B
R-quickerstats0.0.1-lp156.13.1An \'R\' Client for the \'USDA NASS Quick Stats API\'
R-quickmapr0.3.0-lp156.7.1Quickly Map and Explore Spatial Data
R-quickNmix1.1.1-lp156.1.1Asymptotic N-Mixture Model Fitting
R-quickPlot1.0.2-lp156.2.1A System of Plotting Optimized for Speed and Modularity
R-quickpsy0.1.5.1-lp156.18.1Fits Psychometric Functions for Multiple Groups
R-quiddich1.0.0-lp156.4.1QUick IDentification of DIagnostic CHaracters
R-quietR0.1.0-lp156.2.1Simplify Output Verbosity
R-quiltr0.1.0-lp156.1.1Qualtrics for Labelling Text using R
R-quincunx0.1.7-lp156.3.1REST API Client for the \'PGS\' Catalog
R-quint2.2.2-lp156.1.1Qualitative Interaction Trees
R-quoradsR0.1.0-lp156.1.1Get \'Quora\' Ads Data via the \'Windsor.ai\' API
R-quotedargs0.1.3-lp156.2.1A Way of Writing Functions that Quote their Arguments
R-quRan0.1.0-lp156.2.1Complete Text of the Qur\'an
R-qvcalc1.0.3-lp156.1.1Quasi variances for factor effects in statistical models
R-qwalkr0.1.0-lp156.1.1Handle Continuous-Time Quantum Walks with R
R-QZ0.2.3-lp156.1.1Generalized Eigenvalues and QZ Decomposition
R-r.blip1.1-lp156.2.1Bayesian Network Learning Improved Project
R-R.cache0.16.0-lp156.1.1Fast and Light-Weight Caching (Memoization) of Objects and R
R-R.devices2.17.2-lp156.1.1Unified Handling of Graphics Devices
R-R.filesets2.15.1-lp156.1.1Easy Handling of and Access to Files Organized in Structured
R-R.huge0.10.1-lp156.1.1Methods for Accessing Huge Amounts of Data [deprecated]
R-r.jive2.4-lp156.3.1Perform JIVE Decomposition for Multi-Source Data
R-R.matlab3.7.0-lp156.1.1Read and Write MAT Files and Call MATLAB from Within R
R-R.methodsS31.8.2-lp156.1.1S3 Methods Simplified
R-R.oo1.26.0-lp156.1.1R Object-Oriented Programming with or without References
R-r.proxy0.1.3-lp156.1.1Set Proxy in R Console
R-R.rsp0.46.0-lp156.1.1Dynamic Generation of Scientific Reports
R-R.utils2.12.3-lp156.1.1Various Programming Utilities
R-R01.3.1-lp156.1.1Estimation of R0 and Real-Time Reproduction Number from Epid
R-R1magic0.3.4-lp156.1.1Compressive Sampling: Sparse Signal Recovery Utilities
R-R2019nCoV0.1.0-lp156.11.1Analysis of 2019-nCoV Virus
R-R2Addhaz0.1.0-lp156.3.1R2 Measure of Explained Variation under the Additive Hazards
R-R2admb0.7.16.3-lp156.1.1\'ADMB\' to R Interface Functions
R-R2BayesX1.1.5-lp156.1.1Estimate Structured Additive Regression Models with \'BayesX
R-R2BEAT1.0.5-lp156.1.1Multistage Sampling Allocation and Sample Selection
R-r2d21.0.1-lp156.1.1Bivariate (Two-Dimensional) Confidence Region and Frequency
R-R2DGC1.0.3-lp156.2.1Multiple Peak Alignment for 2D Gas Chromatography Mass Spect
R-r2dictionary0.2-lp156.2.1A Mini-Dictionary for \'R\', \'Shiny\' and \'Rmarkdown\' Doc
R-r2dii.analysis0.4.0-lp156.2.1Measure Climate Scenario Alignment of Corporate Loans
R-r2dii.match0.2.1-lp156.1.1Tools to Match Corporate Lending Portfolios with Climate Dat
R-r2dii.plot0.4.0-lp156.2.1Visualize the Climate Scenario Alignment of a Financial Port
R-r2dRue1.0.4-lp156.2.12d Rain Use Efficience model
R-R2DT0.2-lp156.6.1Translation of Base R-Like Functions for \'data.table\' Obje
R-r2fireworks0.1.0-lp156.3.1Enhance Your \'Rmarkdown\' and \'shiny\' Apps with Dazzling
R-R2HTML2.3.4-lp156.1.1HTML exportation for R objects
R-R2OpenBUGS3.2.3.2.1-lp156.2.1Running OpenBUGS from R
R-r2r0.1.1-lp156.2.1R-Object to R-Object Hash Maps
R-r2redux1.0.17-lp156.1.1R2 Statistic
R-R2ROC1.0.1-lp156.1.1AUC Statistics
R-r2rtf1.1.1-lp156.1.1Easily Create Production-Ready Rich Text Format (RTF) Table
R-r2shortcode0.2-lp156.2.1Shorten Function Names of Functions in Another Package and C
R-r2stl1.0.3-lp156.2.1Visualizing Data using a 3D Printer
R-r2symbols1.4-lp156.4.1Symbols for \'Markdown\' and \'Shiny\' Application
R-R2WinBUGS2.1.22.1-lp156.1.1Running \'WinBUGS\' and \'OpenBUGS\' from \'R\' / \'S-PLUS\'
R-r3PG0.1.6-lp156.1.1Simulating Forest Growth using the 3-PG Model
R-R3port0.2.5-lp156.2.1Report Functions to Create HTML and PDF Files
R-R4CouchDB0.7.5-lp156.4.1A R Convenience Layer for CouchDB 2.0
R-r4googleads0.1.1-lp156.1.1\'Google Ads API\' Interface
R-r5110.1.1-lp156.8.1Work with the Bay Area Transportation Commission Application
R-R62.5.1-lp156.1.1Encapsulated Classes with Reference Semantics
R-R62S31.4.1-lp156.2.1Automatic Method Generation from R6
R-R6causal0.8.3-lp156.2.1R6 Class for Structural Causal Models
R-R6DS1.2.0-lp156.3.1R6 Reference Class Based Data Structures
R-r6extended0.1.2-lp156.3.1Extension for \'R6\' Base Class
R-r6methods0.1.0-lp156.16.1Make Methods for R6 Classes
R-R6P0.3.0-lp156.7.1Design Patterns in R
R-ra4bayesmeta1.0.8-lp156.1.1Reference Analysis for Bayesian Meta-Analysis
R-rabi1.0.2-lp156.13.1Generate Codes to Uniquely and Robustly Identify Individuals
R-RABR0.1.1-lp156.4.1Simulations for Response Adaptive Block Randomization Design
R-RAC1.5.5-lp156.2.1R Package for Aqua Culture
R-racir2.0.0-lp156.2.1Rapid A/Ci Response (RACiR) Data Analysis
R-ractivecampaign0.2.0-lp156.10.1Loading Data from \'ActiveCampaign API v3\'
R-RAD0.3-lp156.2.1Fit RAD models to biological data
R-RADanalysis0.5.5-lp156.7.1Normalization and Study of Rank Abundance Distributions
R-radar1.0.0-lp156.2.1Fundamental Formulas for Radar
R-radarBoxplot1.0.5-lp156.1.1Implementation of the Radar-Boxplot
R-RadData1.0.2-lp156.2.1Nuclear Decay Data for Dosimetric Calculations - ICRP 107
R-RadioSonde4.2-lp156.8.1Tools for plotting skew-T diagrams and wind profiles
R-radir1.0.4-lp156.3.1Inverse-Regression Estimation of Radioactive Doses
R-radlibs0.2.0-lp156.17.1Build Your Own Madlibs!
R-RadOnc1.1.8-lp156.2.1Analytical Tools for Radiation Oncology
R-radous0.1.3-lp156.7.1Query Random User Data from the Random User Generator API
R-radsafer2.3.0-lp156.2.1Radiation Safety
R-RadTran1.0-lp156.2.1Radon and Soil Gas Transport in 2D Porous Medium
R-RAdwords0.1.18-lp156.4.1Loading Google Adwords Data into R
R-rafalib1.0.0-lp156.2.1Convenience Functions for Routine Data Exploration
R-RAFS0.2.4-lp156.2.1Robust Aggregative Feature Selection
R-ragtop1.1.1-lp156.2.1Pricing Equity Derivatives with Extensions of Black-Scholes
R-RAhrefs0.1.4-lp156.6.1\'Ahrefs\' API R Interface
R-rai1.0.0-lp156.16.1Revisiting-Alpha-Investing for Polynomial Regression
R-rainbow3.8-lp156.1.1Bagplots, Boxplots and Rainbow Plots for Functional Data
R-raincpc1.1.0-lp156.2.1Obtain and Analyze Daily Rainfall Data from the USA Climate
R-RainfallErosivityFactor1.0.0-lp156.2.1The Rainfall-Runoff Erosivity Factor
R-rainfarmr0.1-lp156.2.1Stochastic Precipitation Downscaling with the RainFARM Metho
R-rairtable0.1.2-lp156.1.1Efficient Wrapper for the \'Airtable\' API
R-RaJIVE1.0-lp156.10.1Robust Angle Based Joint and Individual Variation Explained
R-rakeR0.2.1-lp156.3.1Easy Spatial Microsimulation (Raking) in R
R-rAltmetric0.7.0-lp156.3.1Retrieves Altmerics Data for Any Published Paper from \'Altm
R-RAM1.2.1.7-lp156.12.1R for Amplicon-Sequencing-Based Microbial-Ecology
R-RamanMP1.0-lp156.15.1Analysis and Identification of Raman Spectra of Microplastic
R-Ramble0.1.1-lp156.2.1Parser Combinator for R
R-Rambo1.1.1-lp156.8.1The Random Subgraph Model
R-ramchoice2.2-lp156.1.1Revealed Preference and Attention Analysis in Random Limited
R-rameritrade0.1.5-lp156.15.1\'TD Ameritrade\' API Interface for R
R-ramify0.3.3-lp156.2.1Additional Matrix Functionality
R-ramlegacy0.2.0-lp156.11.1Download and Read RAM Legacy Stock Assessment Database
R-RAMP2.0.2-lp156.2.1Regularized Generalized Linear Models with Interaction Effec
R-RAMpath0.5.1-lp156.1.1Structural Equation Modeling Using the Reticular Action Mode
R-ramps0.6.18-lp156.3.1Bayesian Geostatistical Modeling with RAMPS
R-ramsvm2.3-lp156.1.1Reinforced Angle-Based Multicategory Support Vector Machines
R-randaes0.3-lp156.2.1Random number generator based on AES cipher
R-randChecks0.2.1-lp156.1.1Covariate Balance Checks: Randomization Tests and Graphical
R-randcorr1.0-lp156.2.1Generate a Random p x p Correlation Matrix
R-randgeo0.3.0-lp156.2.1Generate Random \'WKT\' or \'GeoJSON\'
R-RandMeta0.1.0-lp156.2.1Efficient Numerical Algorithm for Exact Inference in Meta An
R-randNames0.2.3-lp156.9.1Package Provides Access to Fake User Data
R-rando0.2.0-lp156.11.1Context Aware Random Numbers
R-random0.2.6-lp156.2.1True Random Numbers using RANDOM.ORG
R-RandomCoefficients0.0.2-lp156.3.1Adaptive Estimation in the Linear Random Coefficients Models
R-RandomFields3.3.14-lp156.1.1Simulation and Analysis of Random Fields
R-RandomFieldsUtils1.2.5-lp156.1.1Utilities for the Simulation and Analysis of Random Fields a
R-RandomFieldsUtils-devel1.2.5-lp156.1.1Development files for RandomFieldsUtils
R-randomizationInference1.0.4-lp156.1.1Flexible Randomization-Based Inference
R-randomizeBE0.3.6-lp156.1.1Create a Random List for Crossover Studies
R-randomizeR3.0.1-lp156.1.1Randomization for Clinical Trials
R-randomizr1.0.0-lp156.1.1Easy-to-Use Tools for Common Forms of Random Assignment and
R-randomMachines0.1.0-lp156.1.1An Ensemble Modeling using Random Machines
R-RandomProjectionTest0.1.4-lp156.1.1Two-Sample Test in High Dimensions using Random Projection
R-Randomuseragent0.0.1-lp156.1.1Filtering and Randomly Sampling Real User-Agent Strings
R-randquotes0.1.1-lp156.4.1Get Random Quotes from Quotes on Design API
R-randtests1.0.2-lp156.2.1Testing Randomness in R
R-randtoolbox2.0.4-lp156.1.1Toolbox for Pseudo and Quasi Random Number Generation and Ra
R-rang0.3.0-lp156.2.1Reconstructing Reproducible R Computational Environments
R-rangeMapper2.0.3-lp156.5.1A Platform for the Study of Macro-Ecology of Life History Tr
R-RankAggreg0.6.6-lp156.2.1Weighted Rank Aggregation
R-RankAggregator0.0.1-lp156.2.1Aggregation of (Partial) Ordinal Rankings
R-rankdifferencetest2021.11.25-lp156.1.1Kornbrot\'s Rank Difference Test
R-rankFD0.1.1-lp156.1.1Rank-Based Tests for General Factorial Designs
R-rankhazard1.1.0-lp156.2.1Rank-Hazard Plots
R-rankICC1.0.2-lp156.1.1Rank Intraclass Correlation for Clustered Data
R-RankingProject0.4.0-lp156.1.1The Ranking Project: Visualizations for Comparing Population
R-rankinPlot1.1.0-lp156.1.1Convenient Plotting for the Modified Rankin Scale and Other
R-rankrate1.2.0-lp156.1.1Joint Statistical Models for Preference Learning with Rankin
R-RankResponse4.0.0-lp156.1.1Ranking Responses in a Single Response Question or a Multipl
R-RAP1.1-lp156.2.1Reversal Association Pattern
R-RApiDatetime0.0.9-lp156.1.1R API for \'Date\' and \'Datetime\'
R-rapidjsonr1.2.0-lp156.3.1\'Rapidjson\' C++ Header Files
R-rapidjsonr-devel1.2.0-lp156.3.1Development files for rapidjsonr
R-rapidoc9.3.4-lp156.1.1Generates \'RapiDoc\' Documentation from an \'OpenAPI\' Spec
R-rapidphylo0.1.2-lp156.4.1Rapidly Estimates Phylogeny from Large Allele Frequency Data
R-RapidPolygonLookup0.1.1-lp156.3.1POLYGON LOOKUP USING KD TREES
R-rapidxmlr0.1.0-lp156.2.1\'Rapidxml\' C++ Header Files
R-rappdirs0.3.3-lp156.1.1Application Directories: Determine Where to Save Data, Cache
R-rappsflyer0.2.0-lp156.15.1Work with AppsFlyer API
R-RaProR1.1.5-lp156.2.1Calculate Sketches using Random Projections to Reduce Large
R-rapsimng0.4.4-lp156.1.1APSIM Next Generation
R-RAPTOR1.0.1-lp156.2.1Row and Position Tracheid Organizer
R-raqs1.0.2-lp156.1.1Interface to the US EPA Air Quality System (AQS) API
R-RAQSAPI2.0.5-lp156.1.1A Simple Interface to the US EPA Air Quality System Data Mar
R-Raquifer0.1.0-lp156.14.1Estimate the Water Influx into Hydrocarbon Reservoirs
R-RareComb1.1-lp156.8.1Combinatorial and Statistical Analyses of Rare Events
R-rareGE0.1-lp156.3.1Testing Gene-Environment Interaction for Rare Genetic Varian
R-rareNMtests1.2-lp156.1.1Ecological and Biogeographical Null Model Tests for Comparin
R-Rarity1.3.8-lp156.1.1Calculation of Rarity Indices for Species and Assemblages of
R-rarms1.0.0-lp156.2.1Access Data from the USDA ARMS Data API
R-RaschSampler0.8.10-lp156.1.1Rasch Sampler
R-rasterbc1.0.2-lp156.1.1Access Forest Ecology Layers for British Columbia in 2001-20
R-rasterDT0.3.2-lp156.3.1Fast Raster Summary and Manipulation
R-rasterImage0.4.0-lp156.2.1An Improved Wrapper of image()
R-rasterize0.1-lp156.2.1Rasterize Graphical Output
R-rasterKernelEstimates1.0.2-lp156.5.1Kernel Based Estimates on in-Memory Raster Images
R-rasterList0.5.20-lp156.2.1A Raster Where Cells are Generic Objects
R-rasterpdf0.1.1-lp156.2.1Plot Raster Graphics in PDF Files
R-rasterpic0.2.5-lp156.2.1Convert Digital Images into \'SpatRaster\' Objects
R-RAT0.3.1-lp156.5.1Research Assessment Tools
R-ratdat1.1.0-lp156.1.1Portal Project Teaching Database
R-ratelimitr0.4.1-lp156.2.1Rate Limiting for R
R-rateratio.test1.1-lp156.1.1Exact rate ratio test
R-ratesci0.4.0-lp156.1.1Confidence Intervals for Comparisons of Binomial or Poisson
R-RAthena2.6.1-lp156.3.1Connect to \'AWS Athena\' using \'Boto3\' (\'DBI\' Interface
R-RatingScaleReduction1.4-lp156.11.1Rating Scale Reduction Procedure
R-RationalExp0.2.2-lp156.2.1Rationalizing Rational Expectations. Tests and Deviations
R-rationalfun0.1.1-lp156.1.1Manipulation of Rational Functions
R-ratios1.2.0-lp156.7.1Calculating Ratios Between Two Data Sets and Correction for
R-rATTAINS1.0.0-lp156.2.1Access EPA \'ATTAINS\' Data
R-rattle5.5.1-lp156.8.1Graphical User Interface for Data Science in R
R-rattle.data1.0.2-lp156.2.1Rattle Datasets
R-raveio0.0.4-lp156.1.1Utility Toolbox for RAVE Project
R-ravelRy0.1.0-lp156.18.1An Interface to the \'Ravelry\' API
R-raven.rdf0.2.0-lp156.1.1An R Interface for Raven DataFrames (Beta0)
R-rAverage0.5.8-lp156.2.1Parameter Estimation for the Averaging Model of Information
R-rAvis0.1.4-lp156.4.1Interface to the Bird-Watching Dataset Proyecto AVIS
R-raw0.1.8-lp156.1.1R Actuarial Workshops
R-rawKS0.1.0-lp156.17.1Easily Get True-Positive Rate and False-Positive Rate and KS
R-rawr0.1.3-lp156.1.1Retrieve Raw R Code from Popular Tutorials and Websites
R-raws.profile0.1.0-lp156.12.1Managing Profiles on Amazon Web Service
R-raymolecule0.5.3-lp156.1.1Parse and Render Molecular Structures in 3D
R-RAZIAD0.0.1-lp156.1.1Regression Analysis of Zero-Inflated and Zero-Altered(Hurdle
R-rbace0.2.2-lp156.8.1\'Bielefeld\' Academic Search Engine (\'BASE\') Client
R-rBahadur1.0.0-lp156.1.1Assortative Mating Simulation and Multivariate Bernoulli Var
R-RBaseX1.1.2-lp156.3.1\'BaseX\' Client
R-rBayesianOptimization1.2.1-lp156.2.1Bayesian Optimization of Hyperparameters
R-rbbnp0.1.0-lp156.1.1A Bias Bound Approach to Non-Parametric Inference
R-rbcb0.1.14-lp156.1.1R Interface to Brazilian Central Bank Web Services
R-rbcc0.1.1-lp156.1.1Risk-Based Control Charts
R-rBDAT1.0.0-lp156.1.1Implementation of BDAT Tree Taper Fortran Functions
R-RBE31.1-lp156.1.1Estimation and Additional Tools for Quantile Generalized Bet
R-rbedrock0.3.2-lp156.2.1Analysis and Manipulation of Data from Minecraft Bedrock Edi
R-rbefdata0.3.5-lp156.3.1BEFdata R package
R-rbenchmark1.0.0-lp156.2.1Benchmarking routine for R
R-Rbent0.1.0-lp156.2.1Robust Bent Line Regression
R-RBestMatch0.1.1-lp156.1.1Graded Matching for Large Observational Studies
R-rBeta20091.0-lp156.2.1The Beta Random Number and Dirichlet Random Vector Generatin
R-RBF2.1.1-lp156.1.1Robust Backfitting
R-rbhl0.9.2-lp156.6.1Interface to the \'Biodiversity\' \'Heritage\' Library
R-rbi1.0.0-lp156.2.1Interface to \'LibBi\'
R-rbi.helpers0.4.0-lp156.2.1\'rbi\' Helper Functions
R-rBiasCorrection0.3.4-lp156.6.1Correct Bias in DNA Methylation Analyses
R-rbin0.2.0-lp156.14.1Tools for Binning Data
R-rbioapi0.8.1-lp156.2.1User-Friendly R Interface to Biologic Web Services\' API
R-rbiorxiv0.2.1-lp156.1.1Client for the \'bioRxiv\' API
R-rbiouml1.11-lp156.2.1Interact with BioUML Server
R-rbison1.0.0-lp156.15.1Interface to the \'USGS\' \'BISON\' API
R-rbit1.0.0-lp156.3.1Binary Indexed Tree
R-Rbitcoin0.9.2-lp156.3.1R & bitcoin integration
R-rbitcoinchartsapi1.0.4-lp156.3.1R Package for the BitCoinCharts.com API
R-RBitmoji0.0.2-lp156.3.1An R Wrapper to the Overly Complicated \'Bitmoji\' API
R-rBMF1.1-lp156.2.1Boolean Matrix Factorization
R-rbmn0.9.6-lp156.1.1Handling Linear Gaussian Bayesian Networks
R-RBNZ1.1.0-lp156.18.1Download Data from the Reserve Bank of New Zealand Website
R-rbounds2.2-lp156.1.1Perform Rosenbaum Bounds Sensitivity Tests for Matched and U
R-RBPcurve1.2-lp156.15.1The Residual-Based Predictiveness Curve
R-rbraries0.2.0-lp156.1.1Interface to the \'Libraries.io\' API
R-rbtc0.1.6-lp156.3.1Bitcoin API
R-rbtt0.1.0-lp156.2.1Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I E
R-rbvs1.0.2-lp156.2.1Ranking-Based Variable Selection
R-rbw0.3.2-lp156.5.1Residual Balancing Weights for Marginal Structural Models
R-RbyExample0.0.100-lp156.2.1Data for the Book \"R by Example\"
R-RCA2.0-lp156.8.1Relational Class Analysis
R-RCAL2.0-lp156.2.1Regularized Calibrated Estimation
R-RCALI0.3.6-lp156.1.1Calculation of the Integrated Flow of Particles Between Poly
R-rcane1.0-lp156.2.1Different Numeric Optimizations to Estimate Parameter Coeffi
R-rcanvec0.2.1-lp156.2.1Access and Plot CanVec and CanVec+ Data for Rapid Basemap Cr
R-Rcapture1.4.4-lp156.1.1Loglinear Models for Capture-Recapture Experiments
R-rcartocolor2.1.1-lp156.1.1\'CARTOColors\' Palettes
R-RCassandra0.1.3-lp156.2.1R/Cassandra interface
R-rCAT0.1.6-lp156.2.1Conservation Assessment Tools
R-RcausalEGM0.3.3-lp156.2.1A General Causal Inference Framework by Encoding Generative
R-rcbalance1.8.8-lp156.2.1Large, Sparse Optimal Matching with Refined Covariate Balanc
R-RCBR0.6.2-lp156.1.1Random Coefficient Binary Response Estimation
R-rcbsubset1.1.7-lp156.2.1Optimal Subset Matching with Refined Covariate Balance
R-rcc1.0.0-lp156.2.1Parametric Bootstrapping to Control Rank Conditional Coverag
R-RCCPCA0.1.0-lp156.1.1\"Retained Component Criterion for Principal Component Analy
R-rcdd1.6-lp156.1.1Computational Geometry
R-RCEIM0.3-lp156.1.1R Cross Entropy Inspired Method for Optimization
R-RcellData1.3.2-lp156.2.1Example Dataset for \'Rcell\' Package
R-rcens0.1.1-lp156.2.1Generate Sample Censoring
R-RCGLS1.0.3-lp156.5.1Download and Open Data Provided by the Copernicus Global Lan
R-Rcgmin2022.4.30-lp156.1.1Conjugate Gradient Minimization of Nonlinear Functions with
R-RChest1.0.3-lp156.7.1Locating Distributional Changes in Highly Dependent Time Ser
R-RChronoModel0.4-lp156.17.1Post-Processing of the Markov Chain Simulated by ChronoModel
R-rciplot0.1.1-lp156.1.1Plot Jacobson-Truax Reliable Change Indices
R-RCircos1.2.2-lp156.1.1Circos 2D Track Plot
R-rcites1.3.0-lp156.1.1R Interface to the Species+ Database
R-rcitoid0.1.0-lp156.3.1Client for \'Citoid\'
R-RClimacell0.1.4-lp156.16.1R Wrapper for the \'Climacell\' API
R-rClinicalCodes1.0.1-lp156.4.1R tools for integrating with the www.clinicalcodes.org repos
R-rclipboard0.2.1-lp156.5.1Shiny/R Wrapper for \'clipboard.js\'
R-RClone1.0.3-lp156.1.1Partially Clonal Populations Analysis
R-rCMA1.1.1-lp156.1.1R-to-Java Interface for \'CMA-ES\'
R-rcmdcheck1.4.0-lp156.5.1Run \'R CMD check\' from \'R\' and Capture Results
R-RCMinification1.2-lp156.1.1Random Coefficient Minification Time Series Models
R-rco1.0.2-lp156.1.1The R Code Optimizer
R-rcoder0.3.0-lp156.1.1Lightweight Data Structure for Recoding Categorical Data wit
R-rcol0.2.0-lp156.2.1Catalogue of Life Client
R-RColetum0.2.2-lp156.2.1Access your Coletum\'s Data from API
R-Rcolombos2.0.2-lp156.2.1Interface to Colombos Compendia using the Exposed REST API
R-RColorBrewer1.1.3-lp156.1.1ColorBrewer palettes
R-RColorConesa1.0.0-lp156.1.1Conesa Colors Palette
R-rcolors0.1.0-lp156.1.1270 \'NCL\' Color Tables in R Language
R-rconfig0.3.0-lp156.1.1Manage R Configuration at the Command Line
R-RConics1.1.1-lp156.1.1Computations on Conics
R-Rcpp113.1.2.0.1-lp156.3.1R and C++11
R-Rcpp11-devel3.1.2.0.1-lp156.3.1Development files for Rcpp11
R-RcppProgress0.4.2-lp156.2.1An Interruptible Progress Bar with OpenMP Support for C++ in
R-RcppThread2.1.7-lp156.1.1R-Friendly Threading in C++
R-RcppXPtrUtils0.1.2-lp156.2.1XPtr Add-Ons for \'Rcpp\'
R-Rcrawler0.1.9.1-lp156.8.1Web Crawler and Scraper
R-RCreliability0.1.0-lp156.1.1Correct Bias in Estimated Regression Coefficients
R-RCriteo1.0.2-lp156.4.1Loading Criteo Data into R
R-Rcriticor2.0-lp156.2.1Pierre-Goldwin Correlogram
R-RCRnorm0.0.2-lp156.2.1An Integrated Regression Model for Normalizing \'NanoString
R-rcrtan0.1.1-lp156.1.1Criterion-Referenced Test Analysis
R-Rcsdp0.1.57.5-lp156.1.1R interface to the CSDP semidefinite programming library
R-Rcssplot1.0.0-lp156.2.1Styling of Graphics using Cascading Style Sheets
R-rct31.0.4-lp156.2.1Predict Fish Year-Class Strength from Survey Data
R-RCTS0.2.4-lp156.2.1Clustering Time Series While Resisting Outliers
R-rcube0.5-lp156.2.1Simulations and Visualizations of Rubik\'s Cube (with Mods)
R-Rcurvep1.2.1-lp156.5.1Concentration-Response Data Analysis using Curvep
R-Rd2md1.0.1-lp156.1.1Markdown Reference Manuals
R-rD3plot1.0.68-lp156.5.1Interactive Networks, Timelines, Barplots, Galleries with \'
R-rda1.2.1-lp156.1.1Shrunken Centroids Regularized Discriminant Analysis
R-rdaisi0.1.3-lp156.3.1R Client for the Daisi Microservice Platform
R-RDataCanvas0.1-lp156.2.1Basic Runtime Support for Datacanvas.io
R-rdatacite0.5.4-lp156.1.1Client for the \'DataCite\' API
R-rdbnomics0.6.4-lp156.2.1Download DBnomics Data
R-rddi0.1.1-lp156.3.1R Interface to DDI Codebook 2.5
R-rde0.1.0-lp156.2.1Reproducible Data Embedding
R-rdecision1.2.1-lp156.1.1Decision Analytic Modelling in Health Economics
R-rDecode0.1.0-lp156.2.1Descent-Based Calibrated Optimal Direct Estimation
R-rdefra0.3.8-lp156.5.1Interact with the UK AIR Pollution Database from DEFRA
R-rdeps0.2-lp156.1.1Identify External Packages Used in a Project
R-rdetools1.0-lp156.2.1Relevant Dimension Estimation (RDE) in Feature Spaces
R-rdfp0.1.4-lp156.15.1An Implementation of the \'DoubleClick for Publishers\' API
R-RDFTensor1.3-lp156.1.1Different Tensor Factorization (Decomposition) Techniques fo
R-RDHonest1.0.0-lp156.2.1Honest Inference in Regression Discontinuity Designs
R-rdi1.0.0-lp156.7.1Repertoire Dissimilarity Index
R-Rdiagnosislist1.2-lp156.1.1Manipulate SNOMED CT Diagnosis Lists
R-rdian0.1.1-lp156.2.1Client Library for The Guardian
R-Rdice1.0.0-lp156.2.1A Collection of Functions to Experiment Dice Rolls
R-RDIDQ1.0-lp156.2.1It perform Quality check on data
R-RDieHarder0.2.6-lp156.1.1R Interface to the \'DieHarder\' RNG Test Suite
R-Rdistance3.0.0-lp156.1.1Distance-Sampling Analyses for Density and Abundance Estimat
R-rdiversity2.2.0-lp156.4.1Measurement and Partitioning of Similarity-Sensitive Biodive
R-RDML1.0-lp156.17.1Importing Real-Time Thermo Cycler (qPCR) Data from RDML Form
R-rdmulti1.1-lp156.1.1Analysis of RD Designs with Multiple Cutoffs or Scores
R-rDNAse1.1.1-lp156.3.1Generating Various Numerical Representation Schemes of DNA S
R-rdnb0.1.5-lp156.4.1R Interface to the \'Deutsche Nationalbibliothek (German Nat
R-RDnp1.3-lp156.9.1Robust Test for Complete Independence in High-Dimensions
R-rdoc0.1.0-lp156.5.1Colourised R Documentation
R-RDocumentation0.8.2-lp156.3.1Integrate R with \'RDocumentation\'
R-RDota20.1.6-lp156.2.1An R Steam API Client for Valve\'s Dota2
R-rdpower2.2-lp156.6.1Power Calculations for RD Designs
R-rdrobust2.2-lp156.1.1Robust Data-Driven Statistical Inference in Regression-Disco
R-Rdrw1.0.2-lp156.2.1Univariate and Multivariate Damped Random Walk Processes
R-rdryad1.0.0-lp156.8.1Access for Dryad Web Services
R-Rdsdp1.0.5.2.1-lp156.1.1R Interface to DSDP Semidefinite Programming Library
R-Rdsm2.1.1-lp156.3.1Threads Environment for R
R-RDSTK1.1-lp156.3.1An R wrapper for the Data Science Toolkit API
R-RDStreeboot1.0-lp156.2.1RDS Tree Bootstrap Method
R-Rduino0.1-lp156.2.1A Microcontroller Interface
R-Rduinoiot0.1.0-lp156.3.1\'Arduino Iot Cloud API\' R Client
R-rdwd1.8.0-lp156.1.1Select and Download Climate Data from \'DWD\' (German Weathe
R-react2024.1.0-lp156.1.1Reactivity Helper for \'shiny\'
R-reactCheckbox1.0.0-lp156.4.1Checkbox Group Input for \'Shiny\'
R-reactlog1.1.1-lp156.1.1Reactivity Visualizer for \'shiny\'
R-ReacTran1.4.3.1-lp156.2.1Reactive Transport Modelling in 1d, 2d and 3d
R-read.dbc1.0.7-lp156.2.1Read Data Stored in DBC (Compressed DBF) Files
R-read.gb2.2-lp156.1.1Open GenBank Files
R-readABF1.0.2-lp156.2.1Loads Axon Binary Files
R-readabs0.4.16-lp156.1.1Download and Tidy Time Series Data from the Australian Burea
R-readbitmap0.1.5-lp156.1.1Simple Unified Interface to Read Bitmap Images (BMP,JPEG,PNG
R-readbulk1.1.4-lp156.1.1Read and Combine Multiple Data Files
R-ReadDIM0.2.11-lp156.2.1Read ESA SNAP Processed Raster Format in R
R-reader1.0.6-lp156.3.1Suite of Functions to Flexibly Read Data from Files
R-readHAC1.0-lp156.2.1Read Acoustic HAC Format
R-readit1.0.0-lp156.17.1Effortlessly Read Any Rectangular Data
R-readJDX0.6.4-lp156.2.1Import Data in the JCAMP-DX Format
R-readmet1.7.1-lp156.2.1Read some less Popular Formats Used in Meteorology
R-readmission0.1.0-lp156.1.1Hospital Readmission Data for Patients with Diabetes
R-readMLData0.9.7-lp156.3.1Reading Machine Learning Benchmark Data Sets in Different Fo
R-readmnist1.0.6-lp156.2.1Read MNIST Dataset
R-readmoRe0.2.12-lp156.9.1Utilities for Importing and Manipulating Biomedical Data Fil
R-readMzXmlData2.8.3-lp156.1.1Reads Mass Spectrometry Data in mzXML Format
R-readODS2.3.0-lp156.1.1Read and Write ODS Files
R-readODS-devel2.3.0-lp156.1.1Development files for readODS
R-readOffice0.2.2-lp156.13.1Read Text Out of Modern Office Files
R-readroper0.9.3-lp156.13.1Simply Read ASCII Single and Multicard Polling Datasets
R-readsdr0.3.0-lp156.2.1Translate Models from System Dynamics Software into \'R\'
R-readSX0.8.3-lp156.3.1Read \'SurveyXact\' Data
R-readtextgrid0.1.2-lp156.2.1Read in a \'Praat\' \'TextGrid\' File
R-readysignal0.0.9-lp156.3.1\'Ready Signal\' API Wrapper
R-realtest0.2.3-lp156.1.1Where Expectations Meet Reality: Realistic Unit Testing
R-reams0.1-lp156.2.1Resampling-Based Adaptive Model Selection
R-rearrr0.3.4-lp156.1.1Rearranging Data
R-reasonabletools0.1-lp156.2.1Clean Water Quality Data for NPDES Reasonable Potential Anal
R-REAT3.0.3-lp156.1.1Regional Economic Analysis Toolbox
R-rebib0.3.2-lp156.2.1Convert and Aggregate Bibliographies
R-rebird1.3.0-lp156.8.1R Client for the eBird Database of Bird Observations
R-rebus0.1.3-lp156.2.1Build Regular Expressions in a Human Readable Way
R-rebus.base0.0.3-lp156.2.1Core Functionality for the \'rebus\' Package
R-rebus.datetimes0.0.2-lp156.1.1Date and Time Extensions for the \'rebus\' Package
R-rebus.numbers0.0.1-lp156.2.1Numeric Extensions for the \'rebus\' Package
R-rebus.unicode0.0.2-lp156.2.1Unicode Extensions for the \'rebus\' Package
R-RECA1.7-lp156.2.1Relevant Component Analysis for Supervised Distance Metric L
R-recapr0.4.4-lp156.1.1Two Event Mark-Recapture Experiment
R-receptiviti0.1.8-lp156.2.1Text Analysis Through the \'Receptiviti\' API
R-rechaRge1.0.0-lp156.2.1HydroBudget – Groundwater Recharge Model
R-rechonest1.2-lp156.4.1R Interface to Echo Nest API
R-ReCiPa3.0-lp156.2.1Redundancy Control in Pathways databases
R-recluster2.9-lp156.16.1Ordination Methods for the Analysis of Beta-Diversity Indice
R-recmetrics0.1.0-lp156.1.1Psychometric Evaluation Using Relative Excess Correlations
R-recodeflow0.1.0-lp156.13.1Interface Functions for PMML Creation, and Data Recoding
R-recoder0.1-lp156.6.1A Simple and Flexible Recoder
R-recombinator1.0.1-lp156.2.1Recombinate Nested Lists to Dataframes
R-recommenderlab1.0.6-lp156.1.1Lab for Developing and Testing Recommender Algorithms
R-recommenderlabBX0.2.0-lp156.1.1Book-Crossing Dataset (BX) for \'recommenderlab\'
R-recommenderlabJester0.2.0-lp156.1.1Jester Dataset for \'recommenderlab\'
R-Recon0.3.0.0-lp156.2.1Computational Tools for Economics
R-recorder0.8.2-lp156.2.1Toolkit to Validate New Data for a Predictive Model
R-RecordLinkage0.4.12.4-lp156.7.1Record Linkage Functions for Linking and Deduplicating Data
R-Records1.0-lp156.2.1Record Values and Record Times
R-RecordTest2.2.0-lp156.1.1Inference Tools in Time Series Based on Record Statistics
R-RecurRisk1.0.2-lp156.5.1Recurrence Risk Assessment Tool
R-REdaS0.9.4-lp156.1.1Companion Package to the Book \'R: Einführung durch angewan
R-redcapAPI2.5.0-lp156.1.1Interface to \'REDCap\'
R-REDCapCAST23.6.2-lp156.1.1REDCap Castellated Data Handling
R-REDCapDM0.9.9-lp156.2.1\'REDCap\' Data Management
R-redditadsR0.1.0-lp156.1.1Get Reddit Ads Data via the \'Windsor.ai\' API
R-RedditExtractoR3.0.9-lp156.1.1Reddit Data Extraction Toolkit
R-reddPrec2.0.3-lp156.2.1Reconstruction of Daily Data - Precipitation
R-REddyProcNCDF1.1.4-lp156.17.1Reading Data from NetCDF Files for \'REddyProc\'
R-REDI1.0.0-lp156.2.1Robust Exponential Decreasing Index
R-ReDirection1.0.1-lp156.1.1Predict Dominant Direction of Reactions of a Biochemical Net
R-RedisBaseContainer1.0.1-lp156.1.1The Container for the DockerParallel Package
R-redlistr1.0.4-lp156.1.1Tools for the IUCN Red List of Ecosystems and Species
R-Redmonder0.2.0-lp156.2.1Microsoft(r)-Inspired Color Palettes
R-redoc2.0.0.75-lp156.1.1Generates \'Redoc\' Documentation from an \'OpenAPI\' Specif
R-REEMtree0.90.5-lp156.1.1Regression Trees with Random Effects for Longitudinal (Panel
R-REFA0.1.0-lp156.1.1Robust Exponential Factor Analysis
R-refer0.1.0-lp156.2.1Create Object References
R-REffectivePred1.0.0-lp156.1.1Pandemic Prediction Model in an SIRS Framework
R-RefFreeEWAS2.2-lp156.2.1EWAS using Reference-Free DNA Methylation Mixture Deconvolut
R-reflectR2.1.3-lp156.2.1Automatic Scoring of the Cognitive Reflection Test
R-reflimR1.0.6-lp156.1.1Reference Limit Estimation Using Routine Laboratory Data
R-RefManageR1.4.0-lp156.6.1Straightforward \'BibTeX\' and \'BibLaTeX\' Bibliography Man
R-refnr0.1.0-lp156.2.1Refining Data Table Using a Set of Formulas
R-reformulas0.3.0-lp156.1.1Machinery for Processing Random Effect Formulas
R-refreshr0.1.0-lp156.8.1Work with Refreshable Datasets that Update their Data Automa
R-refset0.1.1-lp156.2.1Subsets with Reference Semantics
R-refuge0.3.3-lp156.13.1Locate Trans and Intersex-Friendly Toilets
R-refugees2023.12.0-lp156.1.1UNHCR Refugee Population Statistics Database
R-RegClust1.0-lp156.2.1Cluster analysis via regression coefficients.
R-regDIF1.1.1-lp156.1.1Regularized Differential Item Functioning
R-REGENT1.0.6-lp156.2.1Risk Estimation for Genetic and Environmental Traits
R-regexPipes0.0.1-lp156.2.1Wrappers Around \'base::grep()\' for Use with Pipes
R-regexSelect1.0.0-lp156.12.1Regular Expressions in \'shiny\' Select Lists
R-regfilter1.0.3-lp156.1.1Elimination of Noisy Samples in Regression Datasets using No
R-regional0.4.4-lp156.2.1Intra- and Inter-Regional Similarity
R-regioncode0.1.2-lp156.2.1Convert Region Names and Division Codes of China Over Years
R-regions0.1.8-lp156.15.1Processing Regional Statistics
R-registry0.5.1-lp156.3.1Infrastructure for R Package Registries
R-RegKink0.1.0-lp156.1.1Regression Kink with a Time-Varying Threshold
R-reglogit1.2.7-lp156.1.1Simulation-Based Regularized Logistic Regression
R-regmedint1.0.1-lp156.1.1Regression-Based Causal Mediation Analysis with Interaction
R-regpro0.1.1-lp156.2.1Nonparametric Regression
R-regr.easy1.0.2-lp156.3.1Easy Linear, Quadratic and Cubic Regression Models
R-regrap1.0.1-lp156.2.1Reverse Graphical Approaches
R-regress1.3.21-lp156.2.1Gaussian linear models with linear covariance structure
R-RegressionFactory0.7.4-lp156.2.1Expander Functions for Generating Full Gradient and Hessian
R-regrrr0.1.3-lp156.13.1Toolkit for Compiling, (Post-Hoc) Testing, and Plotting Regr
R-RegSDC0.7.0-lp156.4.1Information Preserving Regression-Based Tools for Statistica
R-regspec2.7-lp156.1.1Non-Parametric Bayesian Spectrum Estimation for Multirate Da
R-regsubseq0.12-lp156.2.1Detect and Test Regular Sequences and Subsequences
R-regtest0.05-lp156.2.1Regression testing
R-regweight1.0.2-lp156.4.1Convenience Functions for Implicit Regression Weights
R-rehh3.2.2-lp156.1.1Searching for Footprints of Selection using \'Extended Haplo
R-rehh.data1.0.0-lp156.2.1Data Only: Searching for Footprints of Selection using Haplo
R-rehydratoR0.5.2-lp156.17.1Downloads Tweets from a List of Tweet IDs
R-reinforcelearn0.2.1-lp156.2.1Reinforcement Learning
R-ReinforcementLearning1.0.5-lp156.14.1Model-Free Reinforcement Learning
R-reinstallr0.1.5-lp156.1.1Search and Install Missing Packages
R-reinsureR0.1.0-lp156.16.1Reinsurance Treaties Application
R-rel1.4.2-lp156.2.1Reliability Coefficients
R-rela4.1-lp156.2.1Item Analysis Package with Standard Errors
R-relabeLoadings1.0-lp156.2.1Relabel Loadings from MCMC Output for Confirmatory Factor An
R-relaimpo2.2.7-lp156.3.1Relative Importance of Regressors in Linear Models
R-relatable1.0.0-lp156.2.1Functions for Mapping Key-Value Pairs, Many-to-Many, One-to-
R-Relatedness2.0-lp156.2.1Maximum Likelihood Estimation of Relatedness using EM Algori
R-relations0.6.13-lp156.1.1Data Structures and Algorithms for Relations
R-relaxo0.1.2-lp156.2.1Relaxed Lasso
R-relcircle1.0-lp156.2.1Draw Regulatory Relationships Between Genes
R-RelDists1.0.0-lp156.4.1Estimation for some Reliability Distributions
R-relen1.0.1-lp156.2.1Compute Relative Entropy
R-relevance2.1-lp156.1.1Calculate Relevance and Significance Measures
R-relevent1.2.1-lp156.1.1Relational Event Models
R-Relexon0.2.1-lp156.6.1Explore the UK\'s National Power Grid Datasets
R-Reliability0.0.2-lp156.2.1Functions for estimating parameters in software reliability
R-ReliabilityTheory0.3.0-lp156.1.1Structural Reliability Analysis
R-reliaR0.01-lp156.2.1Package for some probability distributions.
R-relimp1.0.5-lp156.2.1Relative Contribution of Effects in a Regression Model
R-RelValAnalysis1.0-lp156.2.1Relative Value Analysis
R-rematch2.0.0-lp156.1.1Match Regular Expressions with a Nicer \'API\'
R-rematch22.1.2-lp156.11.1Tidy Output from Regular Expression Matching
R-ReMFPCA1.0.0-lp156.2.1Regularized Multivariate Functional Principal Component Anal
R-remindR0.0.1-lp156.2.1Insert and Extract \"Reminders\" from Function Comments
R-remMap0.2.0-lp156.2.1Regularized Multivariate Regression for Identifying Master P
R-remmy0.1.0-lp156.2.1API Client for \'Lemmy\'
R-remoter0.4.0-lp156.2.1Remote R: Control a Remote R Session from a Local One
R-remotes2.5.0-lp156.2.1R Package Installation from Remote Repositories, Including \
R-remss1.0.1-lp156.1.1Refining Evaluation Methodology on Stage System
R-Renext3.1.4-lp156.1.1Renewal Method for Extreme Values Extrapolation
R-renpow0.1.1-lp156.2.1Renewable Power Systems and the Environment
R-rentrez1.2.3-lp156.3.1\'Entrez\' in R
R-Renvlp3.4.5-lp156.1.1Computing Envelope Estimators
R-RenvModule1.1-lp156.1.1Interface to Allow Full Use of the Environment Modules Syste
R-renz0.2.1-lp156.1.1R-Enzymology
R-repairData0.1.0-lp156.1.1Open Repair Alliance Datasets 2021
R-RepaymentPlan0.1.0-lp156.2.1Calculation of Mortgage Plan or Repayment Plan
R-RepeatedHighDim2.0.0-lp156.2.1Global tests for expression data of high-dimensional sets of
R-repec0.1.0-lp156.2.1Access RePEc Data Through API
R-repello1.0.1-lp156.16.1Reports from Trello in R
R-RepertoiR0.0.1-lp156.9.1Repertoire Graphical Visualization
R-replacer1.0.2-lp156.1.1A Value Replacement Utility
R-Replicate1.2.0-lp156.17.1Statistical Metrics for Multisite Replication Studies
R-ReplicationSuccess1.3.2-lp156.1.1Design and Analysis of Replication Studies
R-repmis0.5-lp156.4.1Miscellaneous Tools for Reproducible Research
R-repo2.1.5-lp156.2.1A Data-Centered Data Flow Manager
R-reporter1.4.4-lp156.2.1Creates Statistical Reports
R-repoRter.nih0.1.4-lp156.6.1R Interface to the \'NIH RePORTER Project\' API
R-reportr1.3.0-lp156.2.1A General Message and Error Reporting System
R-reportReg0.3.0-lp156.2.1An Easy Way to Report Regression Analysis
R-reportROC3.6-lp156.2.1An Easy Way to Report ROC Analysis
R-reporttools1.1.3-lp156.1.1Generate \"LaTeX\"\" Tables of Descriptive Statistics
R-repr1.1.7-lp156.3.1Serializable Representations
R-represent1.0.1-lp156.1.1Determine How Representative Two Multidimensional Data Sets
R-represtools0.1.3-lp156.2.1Reproducible Research Tools
R-reproducible2.1.0-lp156.2.1Enhance Reproducibility of R Code
R-repsd1.0.1-lp156.2.1Root Expected Proportion Squared Difference for Detecting DI
R-repurrrsive1.1.0-lp156.2.1Examples of Recursive Lists and Nested or Split Data Frames
R-reqres0.2.5-lp156.4.1Powerful Classes for HTTP Requests and Responses
R-REQS0.8.13-lp156.1.1R/EQS Interface
R-request0.1.0-lp156.3.1High Level \'HTTP\' Client
R-requiRements0.0.3-lp156.1.1Helper Package to Install Packages for R
R-requireR1.0.0.1-lp156.2.1R Source Code Modularizer
R-rerandPower0.0.1-lp156.1.1Power and Sample Size Calculations for Completely Randomized
R-rerddap1.1.0-lp156.1.1General Purpose Client for \'ERDDAP\' Servers
R-rerddapXtracto1.2.0-lp156.2.1Extracts Environmental Data from \'ERDDAP\' Web Services
R-REREFACT1.0-lp156.3.1Reordering and/or Reflecting Factors for Simulation Studies
R-resample0.6-lp156.1.1Resampling Functions
R-resampledata0.3.1-lp156.2.1Data Sets for Mathematical Statistics with Resampling in R
R-resampledata31.0-lp156.1.1Data Sets for \"Mathematical Statistics with Resampling and
R-rescue1.0.3-lp156.9.1Bootstrap Imputation for Single-Cell RNA-Seq Data
R-resde1.1-lp156.1.1Estimation in Reducible Stochastic Differential Equations
R-ResearchAssociate1.0.1-lp156.12.1Retrieving Publications from PubMed Database Based on User Q
R-reservoir1.1.5-lp156.2.1Tools for Analysis, Design, and Operation of Water Supply St
R-RESET1.0.0-lp156.2.1Reconstruction Set Test
R-resevol0.3.4.0-lp156.1.1Simulate Agricultural Production and Evolution of Pesticide
R-reshape0.8.9-lp156.2.1Flexibly reshape data
R-ResidentialEnergyConsumption1.1.0-lp156.1.1Residential Energy Consumption Data
R-ResistorArray1.0.32-lp156.2.1electrical properties of resistor networks
R-resourcer1.4.0-lp156.1.1Resource Resolver
R-ResourceSelection0.3.6-lp156.1.1Resource Selection (Probability) Functions for Use-Availabil
R-ResPBIBD0.1.0-lp156.1.1\"Resolvable Partially Balanced Incomplete Block Designs (PB
R-responsePatterns0.1.1-lp156.1.1Screening for Careless Responding Patterns
R-respR2.3.3-lp156.2.1Import, Process, Analyse, and Calculate Rates from Respirome
R-RESS1.3-lp156.2.1Integrates R and Essentia
R-restaurant0.1.0-lp156.2.1Restaurant Data for Entity Resolution
R-restez2.1.4-lp156.2.1Create and Query a Local Copy of \'GenBank\' in R
R-restimizeapi1.0.0-lp156.4.1Functions for Working with the \'www.estimize.com\' Web Serv
R-RESTK1.0.0-lp156.1.1An Implementation of the RESTK Algorithm
R-restorepoint0.2-lp156.2.1Debugging with Restore Points
R-restrictedMVN1.0-lp156.2.1Multivariate Normal Restricted by Affine Constraints
R-result0.1.0-lp156.1.1Result Type for Safely Handling Operations that can Succeed
R-retel0.1.0-lp156.2.1Regularized Exponentially Tilted Empirical Likelihood
R-rethinker1.1.0-lp156.2.1RethinkDB Client
R-retimes0.1.2-lp156.2.1Reaction Time Analysis
R-retrodesign0.2.2-lp156.2.1Tools for Type S (Sign) and Type M (Magnitude) Errors
R-retroharmonize0.2.0-lp156.13.1Ex Post Survey Data Harmonization
R-retrosheet1.1.6-lp156.2.1Import Professional Baseball Data from \'Retrosheet\'
R-retry0.1.1-lp156.1.1Repeated Evaluation
R-reutils0.2.3-lp156.10.1Talk to the NCBI EUtils
R-reval3.1.0-lp156.6.1Argument Table Generation for Sensitivity Analysis
R-RevEcoR0.99.3-lp156.12.1Reverse Ecology Analysis on Microbiome
R-reveneraR0.1.2-lp156.8.1Connect to Your \'Revenera\' (Formerly \'Revulytics\') Data
R-revengc1.0.4-lp156.16.1Reverse Engineering Summarized Data
R-revgeo0.15-lp156.4.1Reverse Geocoding with the Photon Geocoder for OpenStreetMap
R-revpref0.1.0-lp156.1.1Tools for Computational Revealed Preference Analysis
R-RevSD0.1.1-lp156.2.1Visualizing the Standard Deviation via Revolution
R-revss2.0.0-lp156.1.1Robust Estimation in Very Small Samples
R-revulyticsR0.0.3-lp156.18.1Connect to Your \'Revulytics\' Data
R-reweight1.2.1-lp156.2.1Adjustment of Survey Respondent Weights
R-rex1.2.1-lp156.1.1Friendly Regular Expressions
R-Rexperigen0.2.1-lp156.4.1R Interface to Experigen
R-rextendr0.3.1-lp156.3.1Call Rust Code from R using the \'extendr\' Crate
R-Rfacebook0.6.15-lp156.6.1Access to Facebook API via R
R-rfacts0.2.1-lp156.3.1R Interface to \'FACTS\' on Unix-Like Systems
R-rfars1.2.0-lp156.2.1Download and Analyze Crash Data
R-RFCCA2.0.0-lp156.1.1Random Forest with Canonical Correlation Analysis
R-rFDSN0.0.0-lp156.3.1Get Seismic Data from the International Federation of Digita
R-rFerns5.0.0-lp156.1.1Random Ferns Classifier
R-RFGLS1.1-lp156.2.1Rapid Feasible Generalized Least Squares
R-rFIA1.0.0-lp156.8.1Estimation of Forest Variables using the FIA Database
R-rfieldclimate0.1.1-lp156.2.1Client for the \'FieldClimate\' API
R-rfigshare0.3.8-lp156.8.1An R Interface to \'figshare\'
R-rfinance0.1.0-lp156.3.1Set of Tools for Financial Analysis
R-RFinanceYJ0.3.1-lp156.2.1RFinanceYJ
R-RFishBC0.2.7-lp156.2.1Back-Calculation of Fish Length
R-rfishdraw0.1.0-lp156.7.1Automatically Generated Fish Drawings via JavaScript
R-rfisheries0.2-lp156.13.1\'Programmatic Interface to the \'openfisheries.org\' API\'
R-rfishnet20.2.0-lp156.19.1Exploratory Data Analysis for FishNet2 Data
R-Rfit0.27.0-lp156.2.1Rank-Based Estimation for Linear Models
R-rflights0.1.103-lp156.1.1Query Plane Tickets using the \'Kiwi\' API
R-RFlocalfdr.data0.0.3-lp156.1.1Data for the Vignette and Examples in \'RFlocalfdr\'
R-RFLPtools2.0-lp156.1.1Tools to Analyse RFLP Data
R-rfm0.3.0-lp156.3.1Recency, Frequency and Monetary Value Analysis
R-RFmerge0.1.10-lp156.7.1Merging of Satellite Datasets with Ground Observations using
R-rfml0.1.0-lp156.2.1MarkLogic NoSQL Database Server in-Database Analytics for R
R-rfoaas2.3.2-lp156.1.1R Interface to \'FOAAS\'
R-rfold0.2.0-lp156.3.1Working with many R Folders Within an R Package
R-Rfolding1.0-lp156.2.1The Folding Test of Unimodality
R-RForcecom1.1-lp156.2.1Data Integration Feature for Force.com and Salesforce.com
R-rfordummies0.1.6-lp156.1.1Code Examples to Accompany the Book \"R for Dummies\"
R-RFormatter0.1.1-lp156.2.1R Source Code Formatter
R-RFPM1.1-lp156.2.1Floating Percentile Model
R-Rfractran1.0.1-lp156.1.1A \'FRACTRAN\' Interpreter and Some Helper Functions
R-rFSA0.9.6-lp156.13.1Feasible Solution Algorithm for Finding Best Subsets and Int
R-rfUtilities2.1.5-lp156.2.1Random Forests Model Selection and Performance Evaluation
R-RGA0.4.2-lp156.4.1A Google Analytics API Client
R-Rga4gh0.1.1-lp156.2.1An Interface to the GA4GH API
R-rgabriel0.9-lp156.1.1Gabriel Multiple Comparison Test and Plot the Confidence Int
R-rGammaGamma1.0.12-lp156.2.1Gamma convolutions for methylation array background correcti
R-RGAN0.1.1-lp156.7.1Generative Adversarial Nets (GAN) in R
R-RGAP0.1.1-lp156.2.1Production Function Output Gap Estimation
R-Rgb1.7.5-lp156.1.1The R Genome Browser
R-RGBM1.0.11-lp156.1.1LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network R
R-RGCxGC1.2.0-lp156.2.1Preprocessing and Multivariate Analysis of Bidimensional Gas
R-rgdal1.6.6-lp156.1.1Bindings for the \'Geospatial\' Data Abstraction Library
R-rgdax1.2.1-lp156.2.1Wrapper for \'Coinbase Pro (erstwhile GDAX)\' Cryptocurrency
R-RGeckoboard0.1.5-lp156.2.1R API for Geckoboard
R-rgeedim0.2.7-lp156.1.1Search, Composite, and Download \'Google Earth Engine\' Imag
R-rgen0.0.1-lp156.2.1Random Sampling Distribution C++ Routines for Armadillo
R-RGenData1.0-lp156.2.1Generates Multivariate Nonnormal Data and Determines How Man
R-RGENERATE1.3.7-lp156.1.1Tools to Generate Vector Time Series
R-RGENERATEPREC1.2.9-lp156.3.1Tools to Generate Daily-Precipitation Time Series
R-RGenetics0.1-lp156.2.1R packages for genetics research
R-rgenius0.1.0-lp156.17.1Get \'Genius\' API Lyrics
R-rgeomstats0.0.1-lp156.4.1Interface to \'Geomstats\'
R-rgeos0.6.4-lp156.1.1Interface to Geometry Engine - Open Source (\'GEOS\')
R-RGF1.1.1-lp156.3.1Regularized Greedy Forest
R-Rgff0.1.6-lp156.5.1R Utilities for GFF Files
R-rGhanaCensus0.1.0-lp156.1.12021 Ghana Population and Housing Census Results as Data Fra
R-rgho3.0.2-lp156.1.1Access WHO Global Health Observatory Data from R
R-RGIFT0.1.7-lp156.1.1Create Quizzes in GIFT Format
R-rglobi0.3.4-lp156.1.1Interface to Global Biotic Interactions
R-Rglpk0.6.5.1-lp156.1.1R/GNU Linear Programming Kit Interface
R-RGN1.0.0-lp156.1.1Robust-Gauss Newton (RGN) Optimization of Sum-of-Squares Obj
R-rgnoisefilt1.1.2-lp156.3.1Elimination of Noisy Samples in Regression Datasets using No
R-rgnparser0.3.0-lp156.1.1Parse Scientific Names
R-rGoodData0.1.1-lp156.2.1GoodData API Client Package
R-rgoogleads0.11.0-lp156.2.1Loading Data from \'Google Ads API\'
R-RGoogleAnalytics0.1.6-lp156.4.1R Wrapper for the Google Analytics API
R-RGoogleAnalyticsPremium0.1.1-lp156.7.1Unsampled Data in R for Google Analytics Premium Accounts
R-RGoogleFit0.4.0-lp156.4.1R Interface to Google Fit API
R-RgoogleMaps1.5.1-lp156.1.1Overlays on Static Maps
R-rgoogleslides0.3.2-lp156.3.1R Interface to Google Slides
R-rgovcan1.0.3-lp156.2.1Easy Access to the Canadian Open Government Portal
R-rgr1.1.15-lp156.2.1Applied Geochemistry EDA
R-RGraphics3.0.2-lp156.14.1Data and Functions from the Book R Graphics, Third Edition
R-RGraphSpace1.0.5-lp156.1.1A Lightweight Interface Between \'ggplot2\' and \'igraph\' O
R-rgrass70.2.13-lp156.1.1Deprecated Interface Between GRASS Geographical Information
R-rgrassdoc1.0.0-lp156.3.1Consult \'Grass GIS\' Documentation in the RStudio Viewer or
R-RGremlinsConjoint0.9.1-lp156.1.1Estimate the \"Gremlins in the Data\" Model for Conjoint Stu
R-rgsp0.2.0-lp156.13.1Repetitive Group Sampling Plan Based on Cpk
R-rgTest0.1-lp156.1.1Robust Graph-Based Two-Sample Test
R-rgtmx0.1.4-lp156.1.1Manage GTmetrix Tests in R
R-rgudhi0.2.0-lp156.1.1An Interface to the GUDHI Library for Topological Data Analy
R-rGV0.0.4-lp156.1.1Analysis of Continuous Glucose Monitor Data
R-rgw0.3.0-lp156.2.1Goodman-Weare Affine-Invariant Sampling
R-RHawkes1.0-lp156.2.1Renewal Hawkes Process
R-RHclust2.0.0-lp156.1.1Vector in Partition
R-rhcoclust2.0.0-lp156.7.1Robust Hierarchical Co-Clustering to Identify Significant Co
R-rHealthDataGov1.0.1-lp156.3.1Retrieve data sets from the HealthData.gov data API
R-rheroicons1.0.0-lp156.8.1A Zero Dependency \'SVG\' Icon Library for \'Shiny\'
R-rHL71.0.0-lp156.1.1Read and Write Health Level 7 Files
R-rhli0.0.2-lp156.2.1An R Implementation of the FIS MarketMap C-Toolkit
R-rhmc1.0.0-lp156.2.1Hamiltonian Monte Carlo
R-rhmmer0.1.0-lp156.6.1Utilities Parsing \'HMMER\' Results
R-rhnerm1.1-lp156.2.1Random Heteroscedastic Nested Error Regression
R-rhoneycomb2.3.4-lp156.1.1Analysis of Honeycomb Selection Designs
R-rhosa0.3.0-lp156.2.1Higher-Order Spectral Analysis
R-rhosp1.10-lp156.2.1Side effect risks in hospital : simulation and estimation
R-RHPCBenchmark0.1.0-lp156.2.1Benchmarks for High-Performance Computing Environments
R-RhpcBLASctl0.23.42-lp156.1.1Control the Number of Threads on \'BLAS\'
R-rHpcc1.0-lp156.3.1Interface between HPCC and R
R-RHRT1.0.1-lp156.1.1Heart Rate Turbulence Analysis
R-RHSDB0.2.0-lp156.1.1Ryan-Holm Step-Down Bonferroni or Sidak Procedure
R-RHT1.0-lp156.2.1Regularized Hotelling\'s T-square Test for Pathway (Gene Set
R-rhub2.0.0-lp156.2.1Tools for R Package Developers
R-RHybridFinder0.2.0-lp156.2.1Identification of Hybrid Peptides in Immunopeptidomic Analys
R-rhymer1.2.0-lp156.1.1Wrapper for the \'Datamuse\' API to Find Rhyming and Associa
R-ri0.9-lp156.2.1ri: R package for performing randomization-based inference f
R-RIA1.7.2-lp156.1.1Radiomics Image Analysis Toolbox for Medial Images
R-rib0.20.0-lp156.2.1An Implementation of \'Interactive Brokers\' API
R-ricegeneann1.0.2-lp156.12.1Gene Annotation of Rice (Oryza Sativa L.spp.japonica)
R-riceidconverter1.1.1-lp156.13.1Convert Biological ID from RAP or MSU to SYMBOL for Oryza Sa
R-riceware0.4-lp156.2.1A Diceware Passphrase Implementation
R-rich1.0.1-lp156.2.1Computes and Compares Species Richnesses
R-ricu0.5.6-lp156.1.1Intensive Care Unit Data with R
R-RIdeogram0.2.2-lp156.14.1Drawing SVG Graphics to Visualize and Map Genome-Wide Data o
R-ridge3.3-lp156.1.1Ridge Regression with Automatic Selection of the Penalty Par
R-RidgeFusion1.0.3-lp156.2.1R Package for Ridge Fusion in Statistical Learning
R-ridigbio0.3.8-lp156.1.1Interface to the iDigBio Data API
R-Ridit1.1-lp156.2.1Ridit Analysis (An extension of the Kruskal-Wallis Test.)
R-ridittools0.1-lp156.2.1Useful Functions for Ridit Analysis
R-Riex1.0.2-lp156.12.1IEX Stocks and Market Data
R-rif0.2.0-lp156.1.1Client for \'Neuroscience\' Information Framework \'APIs\'
R-rifle1.0-lp156.2.1Sparse Generalized Eigenvalue Problem
R-RIFS0.1.6-lp156.1.1Random Iterated Function System
R-Rigma0.2.1-lp156.10.1Access to the \'Figma\' API
R-rigr1.0.4-lp156.1.1Regression, Inference, and General Data Analysis Tools in R
R-riingo0.3.1-lp156.11.1An R Interface to the \'Tiingo\' Stock Price API
R-RImagePalette0.1.1-lp156.14.1Extract the Colors from Images
R-RImpact1.0-lp156.2.1Calculates Measures of Scholarly Impact
R-rimu0.6-lp156.4.1Responses in Multiplex
R-rinat0.1.9-lp156.6.1Access \'iNaturalist\' Data Through APIs
R-rineq0.2.3-lp156.1.1Concentration Index and Decomposition for Health Inequalitie
R-ringostat0.1.5-lp156.8.1Load Data from \'Ringostat API\'
R-RInSp1.2.5-lp156.1.1R Individual Specialization
R-Rinstapkg0.1.0-lp156.4.1An Implementation of the \'Instagram\' API Using Tidy Princi
R-rintcal0.6.4-lp156.1.1Radiocarbon Calibration Curves
R-rIntervalTree0.1.0-lp156.2.1An Interval Tree Tool for Real Numbers
R-rintimg0.1.0-lp156.8.1View Images on Full Screen in \'RMarkdown\' Documents and \'
R-rintrojs0.3.4-lp156.3.1Wrapper for the \'Intro.js\' Library
R-rioplot1.1.1-lp156.1.1Turn a Regression Model Inside Out
R-rIP1.2.0-lp156.16.1Detects Fraud in Online Surveys by Tracing, Scoring, and Vis
R-rise1.0.4-lp156.16.1Conduct RISE Analysis
R-Risk1.0-lp156.2.1Computes 26 Financial Risk Measures for Any Continuous Distr
R-RiskPortfolios2.1.7-lp156.10.1Computation of Risk-Based Portfolios
R-riskR1.1-lp156.2.1Risk Management
R-risks0.4.2-lp156.3.1Estimate Risk Ratios and Risk Differences using Regression
R-riskscores1.1.1-lp156.2.1Optimized Integer Risk Score Models
R-risksetROC1.0.4.1-lp156.1.1Riskset ROC Curve Estimation from Censored Survival Data
R-riskSimul0.1.2-lp156.1.1Risk Quantification for Stock Portfolios under the T-Copula
R-riskyr0.4.0-lp156.1.1Rendering Risk Literacy more Transparent
R-RISmed2.3.0-lp156.2.1Download Content from NCBI Databases
R-Rita1.2.0-lp156.1.1Automated Transformations, Normality Testing, and Reporting
R-Ritc1.0.2-lp156.2.1Isothermal Titration Calorimetry (ITC) Data Analysis
R-ritis1.0.0-lp156.9.1Integrated Taxonomic Information System Client
R-RItools0.3.4-lp156.1.1Randomization Inference Tools
R-RiverBuilder0.1.1-lp156.2.1River Generation for Given Data Sets
R-RiverLoad1.0.3-lp156.7.1Load Estimation of River Compounds with Different Methods
R-rivernet1.2.3-lp156.1.1Read, Analyze and Plot River Networks
R-riverplot0.10-lp156.1.1Sankey or Ribbon Plots
R-rivervis0.46.0-lp156.2.1River Visualisation Tool
R-Rivivc0.9.1-lp156.1.1In Vitro in Vivo Correlation Linear Level \"A\"
R-rjazz0.1.7-lp156.4.1Official Client for \'Jazz\'
R-rje1.12.1-lp156.1.1Miscellaneous Useful Functions for Statistics
R-rjmcmc0.4.5-lp156.3.1Reversible-Jump MCMC Using Post-Processing
R-rjqpd0.2.3-lp156.2.1The Johnson Quantile-Parameterised Distribution
R-RJSONIO1.3.1.9-lp156.1.1Serialize R objects to JSON, JavaScript Object Notation
R-RJSplot2.7-lp156.1.1Interactive Graphs with R
R-rjstat0.4.3-lp156.1.1Handle \'JSON-stat\' Format in R
R-rjwsacruncher0.2.0-lp156.1.1Interface to the \'JWSACruncher\' of \'JDemetra+\'
R-RKEELdata1.0.5-lp156.2.1Datasets from \'KEEL\' for it Use in \'RKEEL\'
R-RKelly1.0-lp156.2.1Translate Odds and Probabilities
R-rKenyaForex0.1.0-lp156.1.1Historical Data for Kenya Foreign Exchange Prices
R-rkeops2.2.2-lp156.1.1Kernel Operations on GPU or CPU, with Autodiff, without Memo
R-rKIN0.3.0-lp156.1.1(Kernel) Isotope Niche Estimation
R-RkMetrics1.3-lp156.2.1Hybrid Mortality Estimation
R-rKolada0.2.3-lp156.2.1Access Data from the \'Kolada\' Database
R-rkt1.7-lp156.1.1Mann-Kendall Test, Seasonal and Regional Kendall Tests
R-RKUM0.1.1.1-lp156.1.1Robust Kernel Unsupervised Methods
R-Rlab4.0-lp156.1.1Functions and Datasets Required for ST370 Class
R-rLakeAnalyzer1.11.4.1-lp156.3.1Lake Physics Tools
R-rlang1.1.4-lp156.1.1Functions for Base Types and Core R and \'Tidyverse\' Featur
R-rlc0.5.0-lp156.2.1Create Interactive Linked Charts with Minimal Code
R-rlcv1.0.0-lp156.1.1Robust Likelihood Cross Validation Bandwidth Selection
R-rld1.0-lp156.2.1Analyze and Design Repeated Low-Dose Challenge Experiments
R-rLDCP1.0.2-lp156.3.1Text Generation from Data
R-rle0.9.2-lp156.2.1Common Functions for Run-Length Encoded Vectors
R-RLeafAngle1.0-lp156.2.1Estimates, Plots and Evaluates Leaf Angle Distribution Funct
R-rlecuyer0.3.8-lp156.1.1R interface to RNG with multiple streams
R-Rlinkedin0.2-lp156.6.1Access to the LinkedIn API via R
R-rlinkedinads0.2.0-lp156.1.1Load Data from \'Linkedin Advertising API\'
R-rlist0.4.6.2-lp156.1.1A Toolbox for Non-Tabular Data Manipulation
R-rllama0.4.4-lp156.1.1Access and Analyze Data from \'DeFiLlama\'
R-rlmDataDriven0.4.0-lp156.4.1Robust Regression with Data Driven Tuning Parameter
R-Rlof1.1.3-lp156.1.1R Parallel Implementation of Local Outlier Factor(LOF)
R-rlog0.1.0-lp156.1.1A Simple, Opinionated Logging Utility
R-RLogicalOps0.1-lp156.7.1Process Logical Operations
R-RLT3.2.6-lp156.1.1Reinforcement Learning Trees
R-rLTP0.1.4-lp156.4.1R Interface to the \'LTP\'-Cloud Service
R-rly1.7.4-lp156.1.1Tools to Create Formal Language Parser
R-RM20.0-lp156.3.1Revenue Management and Pricing Package
R-RM20060.1.1-lp156.2.1RiskMetrics 2006 Methodology
R-rma.exact0.1.0-lp156.5.1Exact Confidence Intervals for Random Effects Meta-Analyses
R-rmaf3.0.1-lp156.2.1Refined Moving Average Filter
R-Rmagic2.0.3-lp156.14.1MAGIC - Markov Affinity-Based Graph Imputation of Cells
R-RMallow1.1-lp156.2.1Fit Multi-Modal Mallows\' Models to Ranking Data
R-rmangal2.1.3-lp156.5.1\'Mangal\' Client
R-rmargint2.0.3-lp156.1.1Robust Marginal Integration Procedures
R-RmarineHeatWaves0.17.0-lp156.21.1Detect Marine Heat Waves and Marine Cold Spells
R-rmass20.0.0.2-lp156.1.1Repeated Measures with Attrition: Sample Sizes and Power Lev
R-RMAT0.2.0-lp156.9.1Random Matrix Analysis Toolkit
R-rmatio0.19.0-lp156.1.1Read and Write \'Matlab\' Files
R-RMAWGEN1.3.7-lp156.2.1Multi-Site Auto-Regressive Weather GENerator
R-Rmbal0.1.0-lp156.3.1Estimate Original Hydrocarbon in Place and Reservoir Perform
R-RMBC0.1.0-lp156.11.1Robust Model Based Clustering
R-rmdl0.1.0-lp156.3.1Language to Manage Many Models
R-rMEA1.2.2-lp156.1.1Synchrony in Motion Energy Analysis (MEA) Time-Series
R-rmerec0.1.1-lp156.1.1MEREC - Method Based on the Removal Effects of Criteria
R-rmeta3.0-lp156.2.1Meta-Analysis
R-rmetalog1.0.3-lp156.10.1The Metalog Distribution
R-rMIDAS1.0.0-lp156.1.1Multiple Imputation with Denoising Autoencoders
R-rmio0.4.0-lp156.1.1Provides \'mio\' C++11 Header Files
R-Rmisc1.5.1-lp156.2.1Ryan Miscellaneous
R-RMixpanel0.7.1-lp156.4.1API for Mixpanel
R-RMKdiscrete0.2-lp156.1.1Sundry Discrete Probability Distributions
R-rModeling0.0.3-lp156.14.1A Framework of Cross-Validation
R-Rmolt1.0.0-lp156.1.1Graphic Visualization of the Birds\' Molt
R-rmonad0.7.0-lp156.12.1A Monadic Pipeline System
R-rMorningStar1.0.7-lp156.4.1Mutual Funds Performance Metrics
R-Rmosek1.3.5-lp156.2.1The R to MOSEK Optimization Interface
R-rMOST1.0.1-lp156.4.1Estimates Pareto-Optimal Solution for Hiring with 3 Objectiv
R-rmp2.2-lp156.1.1Rounded Mixture Package
R-rmpw0.0.5-lp156.2.1Causal Mediation Analysis Using Weighting Approach
R-rMR1.1.0-lp156.2.1Importing Data from Loligo Systems Software, Calculating Met
R-rms.gof1.0-lp156.2.1Root-mean-square goodness-of-fit test for simple null hypoth
R-RMSD0.1.0-lp156.1.1Refined Modified Stahel-Donoho Estimators for Outlier Detect
R-RMSDp0.1.1-lp156.1.1Refined Modified Stahel-Donoho (MSD) Estimators for Outlier
R-rmsfact0.0.3-lp156.2.1Amazing Random Facts About the World\'s Greatest Hacker
R-rmsfuns1.0.0.1-lp156.13.1Quickly View Data Frames in \'Excel\', Build Folder Paths an
R-rmstcompsens0.1.5-lp156.2.1Comparing Restricted Mean Survival Time as Sensitivity Analy
R-rmt1.0-lp156.1.1Restricted Mean Time in Favor of Treatment
R-RMThreshold1.1-lp156.2.1Signal-Noise Separation in Random Matrices by using Eigenval
R-RMTstat0.3.1-lp156.1.1Distributions, Statistics and Tests Derived from Random Matr
R-rmutil1.1.10-lp156.1.1Utilities for Nonlinear Regression and Repeated Measurements
R-rmytarget2.4.0-lp156.12.1Load Data from \'MyTarget API v2 and v3\'
R-rnames1.0.1-lp156.2.1Recursive Display of Items in Nested Lists
R-RNAsmc0.8.0-lp156.1.1RNA Secondary Structure Module Mining, Comparison and Plotti
R-RNAstructureModuleMiner0.1.0-lp156.2.1RNA Secondary Structure Comparison and Module Mining
R-rnaturalearth1.0.1-lp156.1.1World Map Data from Natural Earth
R-rnaturalearthdata1.0.0-lp156.1.1World Vector Map Data from Natural Earth Used in \'rnaturale
R-RnavGraphImageData0.0.4-lp156.2.1Image Data Used in the Loon Package Demos
R-RNaviCell0.2-lp156.4.1Visualization of High-Throughput Data on Large-Scale Biologi
R-rnbp0.2.1-lp156.1.1Wrapper for the National Bank of Poland API
R-RNCEP1.0.10-lp156.11.1Obtain, Organize, and Visualize NCEP Weather Data
R-RND1.2-lp156.2.1Risk Neutral Density Extraction Package
R-RNentropy1.2.3-lp156.1.1Entropy Based Method for the Detection of Significant Variat
R-rneos0.4.0-lp156.4.1XML-RPC Interface to NEOS
R-rnetcarto0.2.6-lp156.1.1Fast Network Modularity and Roles Computation by Simulated A
R-RNetCDF2.9.2-lp156.2.1Interface to \'NetCDF\' Datasets
R-RNeXML2.4.11-lp156.2.1Semantically Rich I/O for the \'NeXML\' Format
R-RNGforGPD1.1.0-lp156.2.1Random Number Generation for Generalized Poisson Distributio
R-rngSetSeed0.3.3-lp156.1.1Seeding the Default RNG with a Numeric Vector
R-rngtools1.5.2-lp156.1.1Utility Functions for Working with Random Number Generators
R-rngWELL0.10.9-lp156.1.1Toolbox for WELL Random Number Generators
R-rngwell199370.6.0-lp156.2.1Random number generator WELL19937a with 53 or 32 bit output
R-RNHANES1.1.0-lp156.18.1Facilitates Analysis of CDC NHANES Data
R-Rnightly0.1.0-lp156.8.1A Wrapper of the \'JavaScript\' Library \'Nightly\'
R-rnn1.9.0-lp156.1.1Recurrent Neural Network
R-rnoaa1.4.0-lp156.1.1\'NOAA\' Weather Data from R
R-rnpn1.2.8.0-lp156.1.1Interface to the National \'Phenology\' Network \'API\'
R-rnr0.2.1-lp156.4.1Rosenbaum and Rubin Sensitivity
R-RNRCS0.2.5-lp156.9.1Download NRCS Data
R-Rnumerai3.0.1-lp156.4.1Interface to the Numerai Machine Learning Tournament API
R-ROAuth0.9.6-lp156.4.1R Interface For OAuth
R-RobAStRDA1.2.1-lp156.1.1Interpolation Grids for Packages of the \'RobASt\' - Family
R-robcbi1.1.4-lp156.1.1Conditionally Unbiased Bounded Influence Estimates
R-robcor0.1.6.1-lp156.1.1Robust Correlations
R-robeth2.7.8-lp156.1.1R Functions for Robust Statistics
R-robnptests1.1.0-lp156.1.1Robust Nonparametric Two-Sample Tests for Location/Scale
R-Robocoap0.1.1-lp156.3.1Generation of Dynamic Coappearance Matrices Within Texts
R-robomit1.0.6-lp156.5.1Robustness Checks for Omitted Variable Bias
R-robotoolbox1.3.2-lp156.5.1Client for the \'KoboToolbox\' API
R-robreg3S0.3-lp156.16.1Three-Step Regression and Inference for Cellwise and Casewis
R-RobRex1.2.0-lp156.3.1Optimally Robust Influence Curves for Regression and Scale
R-RobRSVD1.0-lp156.2.1Robust Regularized Singular Value Decomposition
R-RobStatTM1.0.8-lp156.1.1Robust Statistics: Theory and Methods
R-robumeta2.1-lp156.1.1Robust Variance Meta-Regression
R-RobustAFT1.4.7-lp156.1.1Truncated Maximum Likelihood Fit and Robust Accelerated Fail
R-RobustANOVA0.3.0-lp156.4.1Robust One-Way ANOVA Tests under Heteroscedasticity and Nonn
R-robustarima0.2.6-lp156.1.1Robust ARIMA Modeling
R-RobustBF0.2.0-lp156.1.1Robust Solution to the Behrens-Fisher Problem
R-robustDA1.2-lp156.2.1Robust Mixture Discriminant Analysis
R-robustETM1.0-lp156.2.1Robust Methods using Exponential Tilt Model
R-robustfa1.1.0-lp156.1.1Object Oriented Solution for Robust Factor Analysis
R-RobustLinearReg1.2.0-lp156.2.1Robust Linear Regressions
R-robustlm0.1.0-lp156.1.1Robust Variable Selection with Exponential Squared Loss
R-robustmeta1.2.1-lp156.1.1Robust Inference for Meta-Analysis with Influential Outlying
R-robustMVMR0.3.1-lp156.1.1Perform the Robust Multivariable Mendelian Randomization Ana
R-robustrank2024.1.28-lp156.1.1Robust Rank-Based Tests
R-RobustRankAggreg1.2.1-lp156.1.1Methods for Robust Rank Aggregation
R-robustrao1.0.5-lp156.8.1An Extended Rao-Stirling Diversity Index to Handle Missing D
R-robustsur0.0.7-lp156.9.1Robust Estimation for Seemingly Unrelated Regression Models
R-robustvarComp0.1.7-lp156.3.1Robust Estimation of Variance Component Models
R-robustX1.2.7-lp156.1.1\'eXtra\' / \'eXperimental\' Functionality for Robust Statis
R-robvis0.3.0-lp156.16.1Visualize the Results of Risk-of-Bias (ROB) Assessments
R-ROCaggregator1.0.1-lp156.1.1Aggregate Multiple ROC Curves into One Global ROC
R-rocc1.3-lp156.3.1ROC Based Classification
R-ROCFTP.MMS1.0.0-lp156.4.1Perfect Sampling
R-ROCit2.1.2-lp156.2.1Performance Assessment of Binary Classifier with Visualizati
R-ROCket1.0.1-lp156.1.1Simple and Fast ROC Curves
R-rockr1.0.0-lp156.6.1\'Rock\' R Server Client
R-rocNIT1.0-lp156.2.1Non-Inferiority Test for Paired ROC Curves
R-rocnp0.1.0-lp156.10.1Work with Romanian Personal Numeric Codes PNC / CNP
R-ROCpsych1.3-lp156.4.1Compute and Compare Diagnostic Test Statistics Across Groups
R-ROCR1.0.11-lp156.3.1Visualizing the performance of scoring classifiers
R-rocsvm.path0.1.0-lp156.2.1The Entire Solution Paths for ROC-SVM
R-ROCwoGS1.0-lp156.2.1Non-parametric estimation of ROC curves without Gold Standar
R-Rodam0.1.14-lp156.1.1Wrapper Functions for \'ODAM\' (Open Data for Access and Min
R-RODBC1.3.23-lp156.1.1ODBC Database Access
R-RODBCDBI0.1.1-lp156.1.1Provides Access to Databases Through the ODBC Interface
R-rodd0.2.1-lp156.3.1Optimal Discriminating Designs
R-rODE0.99.6-lp156.2.1Ordinary Differential Equation (ODE) Solvers Written in R Us
R-rodham0.1.1-lp156.3.1Fetch Hillary Rodham Clinton\'s Emails
R-RODM1.1-lp156.1.1R interface to Oracle Data Mining
R-roger1.5.1-lp156.1.1Automated Grading of R Scripts
R-Rogue1.0.0-lp156.1.1Identify Rogue Taxa in Sets of Phylogenetic Trees
R-ROI1.0.1-lp156.1.1R Optimization Infrastructure
R-ROI.models.globalOptTests1.1.1-lp156.4.1\'ROI\' Optimization Problems Based on \'globalOptTests\'
R-ROI.models.miplib1.0.0-lp156.4.1\'ROI\' Access to \'MIPLIB\' 2010 Benchmark Instances
R-ROI.models.netlib1.1.2-lp156.2.1\'ROI\' Optimization Problems Based on \'NETLIB-LP\'
R-ROI.plugin.alabama1.0.2-lp156.1.1\'alabama\' Plug-in for the \'R\' Optimization Infrastructur
R-ROI.plugin.deoptim1.0.2-lp156.1.1\'DEoptim\' and \'DEoptimR\' Plugin for the \'R\' Optimizati
R-ROI.plugin.ecos1.0.2-lp156.1.1\'ECOS\' Plugin for the \'R\' Optimization Infrastructure
R-ROI.plugin.glpk1.0.0-lp156.4.1\'ROI\' Plug-in \'GLPK\'
R-ROI.plugin.ipop1.0.0-lp156.4.1\'ipop\' Plug-in for the \'R\' Optimization Interface
R-ROI.plugin.lpsolve1.0.2-lp156.1.1\'lp_solve\' Plugin for the \'R\' Optimization Infrastructur
R-ROI.plugin.msbinlp1.0.1-lp156.1.1\'Multi-Solution\' Binary Linear Problem Plug-in for the \'R
R-ROI.plugin.neos1.0.2-lp156.2.1\'NEOS\' Plug-in for the \'R\' Optimization Interface
R-ROI.plugin.nloptr1.0.1-lp156.5.1\'nloptr\' Plug-in for the \'R\' Optimization Infrastructure
R-ROI.plugin.optimx1.0.1-lp156.6.1\'optimx\' Plug-in for the \'R\' Optimization Infrastructure
R-ROI.plugin.quadprog1.0.1-lp156.1.1\'quadprog\' Plug-in for the \'R\' Optimization Infrastructu
R-ROI.plugin.scs1.1.2-lp156.1.1\'SCS\' Plug-in for the \'R\' Optimization Infrastructure
R-roistats0.1.1-lp156.12.1Convenience Functions for Applying Basic Stats to Sub-Groups
R-rolap2.3.0-lp156.2.1Obtaining Star Databases from Flat Tables
R-rollama0.1.0-lp156.2.1Communicate with \'Ollama\'
R-rollbar0.1.0-lp156.2.1Error Tracking and Logging
R-rollmatch2.0.3-lp156.1.1Rolling Entry Matching
R-roloc0.1.2-lp156.1.1Convert Colour Specification to Colour Name
R-rolocISCCNBS0.1-lp156.2.1A Colour List and Colour Metric Based on the ISCC-NBS System
R-ROlogit0.1.2-lp156.2.1Fit Rank-Ordered Logit (RO-Logit) Model
R-rolr1.0.0-lp156.2.1Finding Optimal Three-Group Splits Based on a Survival Outco
R-RolWinMulCor1.2.0-lp156.5.1Subroutines to Estimate Rolling Window Multiple Correlation
R-RolWinWavCor0.4.0-lp156.2.1Estimate Rolling Window Wavelet Correlation Between Two Time
R-ROMDB0.1.0-lp156.11.1Get \'OMDB\' API Multiple Information
R-romic1.1.3-lp156.3.1R for High-Dimensional Omic Data
R-ROMIplot1.0-lp156.1.1Plots Surfaces of Rates of Mortality Improvement
R-RonFHIR0.4.0-lp156.7.1Read and Search Interface to the \'HL7 FHIR\' REST API
R-Rook1.2-lp156.1.1HTTP Web Server for R
R-ROOPSD0.3.9-lp156.1.1R Object Oriented Programming for Statistical Distribution
R-RootsExtremaInflections1.2.1-lp156.2.1Finds Roots, Extrema and Inflection Points of a Curve
R-rootSolve1.8.2.4-lp156.1.1Nonlinear Root Finding, Equilibrium and Steady-State Analysi
R-ROP1.0-lp156.3.1Regression Optimized: Numerical Approach for Multivariate Cl
R-rope1.0-lp156.2.1Model Selection with FDR Control of Selected Variables
R-ropenaq0.2.11-lp156.1.1Accesses Air Quality Data from the Open Data Platform OpenAQ
R-ropenblas0.3.0-lp156.4.1Download, Compile and Link \'OpenBLAS\' Library with R
R-ropendata0.1.0-lp156.2.1Query and Download \'Rapid7\' \'Cybersecurity\' Data Sets
R-ROpenDota0.1.2-lp156.4.1Access OpenDota Services in R
R-ROpenFIGI0.2.8-lp156.2.1R Interface to OpenFIGI
R-ropensecretsapi1.0.1-lp156.4.1R Package for the OpenSecrets.org API
R-ROpenWeatherMap1.1-lp156.4.1R Interface to OpenWeatherMap API
R-roperators1.3.14-lp156.1.1Additional Operators to Help you Write Cleaner R Code
R-ROptEstOld1.2.0-lp156.3.1Optimally Robust Estimation - Old Version
R-ROptimus3.0.0-lp156.1.1A Parallel General-Purpose Adaptive Optimisation Engine
R-ROptRegTS1.2.0-lp156.3.1Optimally Robust Estimation for Regression-Type Models
R-rorcid0.7.0-lp156.8.1Interface to the \'Orcid.org\' API
R-rorqual.morpho0.1.1-lp156.13.1Morphological Allometry of Rorquals
R-rorutadis0.4.2-lp156.7.1Robust Ordinal Regression UTADIS
R-ROSE0.0.4-lp156.1.1Random Over-Sampling Examples
R-Rosenbrock0.1.0-lp156.2.1Extended Rosenbrock-Type Densities for Markov Chain Monte Ca
R-rosetteApi1.14.4-lp156.2.1\'Rosette\' API
R-rosm0.3.0-lp156.2.1Plot Raster Map Tiles from Open Street Map and Other Sources
R-rosv0.5.1-lp156.1.1Client to Access and Operate on the \'Open Source Vulnerabil
R-rotationForest0.1.3-lp156.2.1Fit and Deploy Rotation Forest Models
R-rotatogram0.1.3-lp156.1.1A Non-Axis-Dominant Association Plotting Tool
R-rotl3.1.0-lp156.2.1Interface to the \'Open Tree of Life\' API
R-rotor0.3.7-lp156.1.1Log Rotation and Conditional Backups
R-RoughSetKnowledgeReduction0.1-lp156.2.1Simplification of Decision Tables using Rough Sets
R-round0.21.0.2-lp156.1.1Rounding to Decimal Digits
R-roundhouse0.0.2-lp156.2.1Random Chuck Norris Facts
R-roundyh0.1.0-lp156.1.1Round Dataframe
R-Routliers0.0.0.3-lp156.14.1Robust Outliers Detection
R-routr0.4.1-lp156.4.1A Simple Router for HTTP and WebSocket Requests
R-royston1.2-lp156.2.1Royston\'s H Test: Multivariate Normality Test
R-rPAex1.0.5-lp156.2.1Automatic Detection of Experimental Unit in Precision Agricu
R-rpaleoclim1.0.1-lp156.2.1Download Paleoclimate Data from \'PaleoClim\'
R-rpanel1.1.5.2-lp156.1.1Simple Interactive Controls for R using the \'tcltk\' Packag
R-rpart4.1.23-lp156.1.1Recursive Partitioning and Regression Trees
R-rpart.plot3.1.2-lp156.1.1Plot \'rpart\' Models: An Enhanced Version of \'plot.rpart\'
R-rpart.utils0.5-lp156.2.1Tools for parsing and manipulating rpart objects, including
R-rpartitions0.1-lp156.2.1Code for integer partitioning
R-rpartScore1.0.2-lp156.1.1Classification trees for ordinal responses
R-rpca0.2.3-lp156.2.1RobustPCA: Decompose a Matrix into Low-Rank and Sparse Compo
R-RPCLR1.0-lp156.2.1RPCLR (Random-Penalized Conditional Logistic Regression)
R-rpdo0.3.2-lp156.1.1Pacific Decadal Oscillation Index Data
R-RPDTest0.0.2-lp156.2.1A New Type of Test Statistic and Method for Multinomial Good
R-RpeakChrom1.1.0-lp156.14.1Tools for Chromatographic Column Characterization and Modell
R-RPEClust0.1.0-lp156.2.1Random Projection Ensemble Clustering Algorithm
R-RPEIF1.2.4-lp156.1.1Computation and Plots of Influence Functions for Risk and Pe
R-RPEnsemble0.5-lp156.1.1Random Projection Ensemble Classification
R-RPEXE.RPEXT0.0.2-lp156.2.1Reduced Piecewise Exponential Estimate/Test Software
R-Rphylip0.1.23-lp156.2.1An R interface for PHYLIP
R-rpicosat1.0.1-lp156.2.1R Bindings for the \'PicoSAT\' SAT Solver
R-rpinterest0.3.1-lp156.3.1Access Pinterest API
R-rplos1.0.0-lp156.13.1Interface to the Search API for \'PLoS\' Journals
R-rplotengine1.0.9-lp156.1.1R as a Plotting Engine
R-rpls0.6.0-lp156.2.1Robust Partial Least Squares
R-RPMG2.2.7-lp156.1.1Graphical User Interface (GUI) for interactive R analysis se
R-RPMM1.25-lp156.2.1Recursively Partitioned Mixture Model
R-rpnf1.0.5-lp156.2.1Point and Figure Package
R-Rpoet1.1.0-lp156.2.1\'PoetryDB\' API Wrapper
R-rportfolio0.0.3-lp156.2.1Portfolio Theory
R-rportfolios1.0.1-lp156.2.1Random Portfolio Generation
R-rPowerSampleSize1.0.2-lp156.2.1Sample Size Computations Controlling the Type-II Generalized
R-RPPairwiseDesign1.0-lp156.2.1Resolvable partially pairwise balanced design and Space-fill
R-rppo1.0.2-lp156.1.1Access the Global Plant Phenology Data Portal
R-RPregression0.1.0-lp156.1.1A Simple Regression and Plotting Tool
R-RPresto1.4.6-lp156.3.1DBI Connector to Presto
R-rprev1.0.5-lp156.12.1Estimating Disease Prevalence from Registry Data
R-rprime0.1.2-lp156.7.1Functions for Working with \'Eprime\' Text Files
R-rprintf0.2.1-lp156.6.1Adaptive Builder for Formatted Strings
R-RProbSup3.0-lp156.2.1Calculates Probability of Superiority
R-rprofile0.4.0-lp156.1.1Load Both User-Global and Project-Specific R Profile Configu
R-rprojroot2.0.4-lp156.1.1Finding Files in Project Subdirectories
R-rprojtree1.0.0-lp156.5.1Create Folders and Files Structure for Data Science Projects
R-RPscoring0.1.0-lp156.2.1Relative Placement Algorithm
R-rpsftm1.2.9-lp156.2.1Rank Preserving Structural Failure Time Models
R-rpst1.0.0-lp156.2.1Recursive Partitioning Survival Trees
R-rpsychi0.8-lp156.2.1Statistics for psychiatric research
R-RPublica0.1.3-lp156.2.1ProPublica API Client
R-rpubs0.2.2-lp156.11.1Extract Code Block from Rpubs Article
R-RPushbullet0.3.4-lp156.1.1R Interface to the Pushbullet Messaging Service
R-rpyANTs0.0.3-lp156.3.1An Alternative Advanced Normalization Tools (\'ANTs\')
R-rpymat0.1.7-lp156.3.1Easy to Configure an Isolated \'Python\' Environment
R-rQCC2.22.12-lp156.2.1Robust Quality Control Chart
R-rqdatatable1.3.3-lp156.1.1\'rquery\' for \'data.table\'
R-RQEntangle0.1.3-lp156.2.1Quantum Entanglement of Bipartite System
R-rquery1.4.99-lp156.1.1Relational Query Generator for Data Manipulation at Scale
R-Rramas0.1.6-lp156.2.1Matrix Population Models
R-rRAP1.1-lp156.2.1Real-Time Adaptive Penalization for Streaming Lasso Models
R-RRate1.0-lp156.2.1Estimating Replication Rate for Genome-Wide Association Stud
R-rrBLUP4.6.3-lp156.1.1Ridge Regression and Other Kernels for Genomic Selection
R-RRBoost0.1-lp156.11.1A Robust Boosting Algorithm
R-rrcov3way0.5.0-lp156.1.1Robust Methods for Multiway Data Analysis, Applicable also f
R-Rrdap1.0.7-lp156.2.1RDAP Server Querying
R-Rrdrand0.1.16-lp156.2.1\'DRNG\' on Intel CPUs with the \'RdRand\' Instruction for R
R-rredis1.7.0-lp156.2.1\"Redis\" Key/Value Database Client
R-rredlist0.7.1-lp156.2.1\'IUCN\' Red List Client
R-rrefine2.1.0-lp156.3.1r Client for OpenRefine API
R-rreg0.2.1-lp156.14.1Visualization for Norwegian Health Quality Registries
R-RRF1.9.4-lp156.1.1Regularized Random Forest
R-RRMLRfMC0.4.0-lp156.1.1Reduced-Rank Multinomial Logistic Regression for Markov Chai
R-rrnni0.1.1-lp156.1.1Manipulate with RNNI Tree Space
R-rroad0.0.5-lp156.2.1Road Condition Analysis
R-rRofex2.0.6-lp156.5.1Interface to \'Matba Rofex\' Trading API
R-rromeo0.1.1-lp156.3.1Access Publisher Copyright & Self-Archiving Policies via the
R-RRPP2.0.2-lp156.1.1Linear Model Evaluation with Randomized Residuals in a Permu
R-RRRR1.1.1-lp156.1.1Online Robust Reduced-Rank Regression Estimation
R-rrscale1.0-lp156.13.1Robust Re-Scaling to Better Recover Latent Effects in Data
R-RRTCS0.0.4-lp156.1.1Randomized Response Techniques for Complex Surveys
R-RSA0.10.6-lp156.2.1Response Surface Analysis
R-RSADBE1.0-lp156.2.1Data related to the book \"R Statistical Application Develop
R-rsae0.3-lp156.1.1Robust Small Area Estimation
R-Rsagacmd0.4.2-lp156.2.1Linking R with the Open-Source \'SAGA-GIS\' Software
R-RSAlgaeR1.0.0-lp156.16.1Builds Empirical Remote Sensing Models of Water Quality Vari
R-rsample1.2.1-lp156.2.1General Resampling Infrastructure
R-Rsampling0.1.1-lp156.2.1Ports the Workflow of \"Resampling Stats\" Add-in to R
R-RSarules1.0-lp156.3.1Random Sampling Association Rules from a Transaction Dataset
R-RSauceLabs0.1.6-lp156.4.1R Wrapper for \'SauceLabs\' REST API
R-RSBJson1.1.2-lp156.2.1Handle R Requests from R Service Bus Applications with JSON
R-rsbp0.1.0-lp156.18.1Part Information from the Registry of Standard Biological Pa
R-RSC2.0.4-lp156.1.1Robust and Sparse Correlation Matrix
R-rSCA3.1-lp156.2.1An R Package for Stepwise Cluster Analysis
R-rscc0.2.1-lp156.6.1R Source Code Similarity Evaluation by Variable/Function Nam
R-rscimark1.0-lp156.2.1SciMark 2.0 Benchmark for Scientific and Numerical Computing
R-Rsconctdply0.1.3-lp156.16.1Deploys Multiple \'Shiny\' Apps using Configuration File
R-rsconnect1.3.1-lp156.1.1Deploy Docs, Apps, and APIs to \'Posit Connect\', \'shinyapp
R-rscontract0.1.2-lp156.2.1Generic implementation of the \'RStudio\' connections contra
R-rscopus0.6.6-lp156.16.1Scopus Database \'API\' Interface
R-rsdepth0.1.22-lp156.1.1Ray Shooting Depth (i.e. RS Depth) Functions for Bivariate A
R-rSDI0.2.1-lp156.2.1Spatial Dispersion Index (SDI) Family of Metrics for Spatial
R-rsdmx0.6.3-lp156.1.1Tools for Reading SDMX Data and Metadata
R-rsdNE1.1.0-lp156.1.1Response Surface Designs with Neighbour Effects (rsdNE)
R-RSE1.3-lp156.2.1Number of Newly Discovered Rare Species Estimation
R-rSEA2.1.2-lp156.1.1Simultaneous Enrichment Analysis
R-rseedcalc1.3-lp156.2.1Estimating the Proportion of Genetically Modified Seeds in S
R-RSelenium1.7.9-lp156.2.1R Bindings for \'Selenium WebDriver\'
R-rsem0.5.1-lp156.1.1Robust Structural Equation Modeling with Missing Data and Au
R-Rserve1.8.13-lp156.1.1Binary R server
R-rsetse0.5.0-lp156.11.1Strain Elevation Tension Spring Embedding
R-rSFA1.5-lp156.1.1Slow Feature Analysis
R-Rsfar0.0.1-lp156.10.1Seasonal Functional Autoregressive Models
R-Rsgf1.0.0-lp156.8.1SGF (Smart Game File) File Format Import
R-rshift2.1.1-lp156.6.1Paleoecology Functions for Regime Shift Analysis
R-RSiena1.4.7-lp156.1.1Siena - Simulation Investigation for Empirical Network Analy
R-RsimMosaic1.0.3-lp156.10.1R Simple Image Mosaic Creation Library
R-RSiteCatalyst1.4.16-lp156.6.1R Client for Adobe Analytics API V1.4
R-RSizeBiased0.1.0-lp156.1.1Hypothesis Testing Based on R-Size Biased Samples
R-RSKC2.4.2-lp156.2.1Robust Sparse K-Means
R-rskey0.4.4-lp156.2.1Create Custom \'Rstudio\' Keyboard Shortcuts
R-rsleep1.0.12-lp156.1.1Analysis of Sleep Data
R-rslp0.2.0-lp156.6.1A Stemming Algorithm for the Portuguese Language
R-rslurm0.6.2-lp156.1.1Submit R Calculations to a \'Slurm\' Cluster
R-rsm2.10.5-lp156.1.1Response-surface analysis
R-RSmallTelescopes1.0.4-lp156.1.1Empirical Small Telescopes Analysis
R-RSmartlyIO0.1.3-lp156.4.1Loading Facebook and Instagram Advertising Data from \'Smart
R-rsmatch0.2.1-lp156.1.1Matching Methods for Time-Varying Observational Studies
R-rsmatrix0.2.8-lp156.1.1Matrices for Repeat-Sales Price Indexes
R-Rsmlx2024.1.0-lp156.1.1R Speaks \'Monolix\'
R-rsnell0.1-lp156.2.1Snell Scoring
R-rsnps0.6.0-lp156.2.1Get \'SNP\' (\'Single-Nucleotide\' \'Polymorphism\') Data on
R-RSocrata1.7.15.1-lp156.1.1Download or Upload \'Socrata\' Data Sets
R-rsoi0.5.6-lp156.1.1Import Various Northern and Southern Hemisphere Climate Indi
R-Rsolnp1.16-lp156.2.1General Non-Linear Optimization
R-rspa0.2.8-lp156.2.1Adapt Numerical Records to Fit (in)Equality Restrictions
R-rSPARCS0.1.1-lp156.1.1Sites, Population, and Records Cleaning Skills
R-Rspc1.2.2-lp156.2.1Nelson Rules for Control Charts
R-rSPDE2.3.3-lp156.2.1Rational Approximations of Fractional Stochastic Partial Dif
R-RSpincalc1.0.2-lp156.2.1Conversion Between Attitude Representations of DCM, Euler An
R-Rspotify0.1.2-lp156.15.1Access to Spotify API
R-rsppfp1.0.4-lp156.17.1R\'s Shortest Path Problem with Forbidden Subpaths
R-rsprite20.2.1-lp156.1.1Identify Distributions that Match Reported Sample Parameters
R-RSPS1.0-lp156.2.1RNA-Seq Power Simulation
R-RSQL0.2.2-lp156.1.1Database Agnostic Package to Generate and Process \'SQL\' Qu
R-RSqlParser1.5-lp156.7.1Parse \'SQL\' Statements
R-rSQM1.3.14-lp156.3.1Statistical Downscaling Toolkit for Climate Change Scenario
R-RSSampling1.0-lp156.2.1Ranked Set Sampling
R-RsSimulx2024.1-lp156.1.1Extension of \'lixoftConnectors\' for \'Simulx\'
R-RSSOP1.1-lp156.2.1Simulation of Supply Reservoir Systems using Standard Operat
R-rstack1.0.1-lp156.1.1Stack Data Type as an \'R6\' Class
R-rstackdeque1.1.1-lp156.2.1Persistent Fast Amortized Stack and Queue Data Structures
R-rstantools2.4.0-lp156.1.1Tools for Developing R Packages Interfacing with \'Stan\'
R-RStata1.1.1-lp156.2.1A Bit of Glue Between R and Stata
R-rstatscn1.1.3-lp156.2.1R Interface for China National Data
R-Rstg0.0.1-lp156.4.1STG : Feature Selection using STochastic Gates
R-rstiefel1.0.1-lp156.1.1Random Orthonormal Matrix Generation and Optimization on the
R-RStorm1.0-lp156.3.1Simulate and Develop Streaming Processing
R-rstream1.3.7-lp156.1.1Streams of Random Numbers
R-RStripe0.1-lp156.4.1A Convenience Interface for the Stripe Payment API
R-rstudio.prefs0.1.9-lp156.8.1Set \'RStudio\' Preferences
R-rstudioapi0.16.0-lp156.2.1Safely Access the RStudio API
R-rstyles0.4.0-lp156.1.1Generating Simulated Data Mimicking Response Styles to Surve
R-rsurfer0.2-lp156.4.1Manipulating \'Freesurfer\' Generated Data
R-Rsurrogate3.2-lp156.1.1Robust Estimation of the Proportion of Treatment Effect Expl
R-rsurv0.0.1-lp156.1.1Random Generation of Survival Data
R-rsvd1.0.5-lp156.1.1Randomized Singular Value Decomposition
R-RSvgDevice0.6.4.4-lp156.2.1An R SVG graphics device.
R-RSVGTipsDevice1.0.7-lp156.2.1An R SVG graphics device with dynamic tips and hyperlinks
R-RSwissMaps0.1.0.1-lp156.11.1Plot and Save Customised Swiss Maps
R-rsyntax0.1.4-lp156.7.1Extract Semantic Relations from Text by Querying and Reshapi
R-rsyslog1.0.3-lp156.1.1Interface to the \'syslog\' System Logger
R-rt1.1.0-lp156.5.1Interface to the \'Request Tracker\' API
R-rt.test1.18.7.9-lp156.2.1Robustified t-Test
R-rt30.1.2-lp156.2.1Tic-Tac-Toe Package for R
R-rTableICC1.0.9-lp156.1.1Random Generation of Contingency Tables
R-Rtapas1.2-lp156.2.1Random Tanglegram Partitions
R-rtape2.2-lp156.2.1Manage and manipulate large collections of R objects stored
R-Rtauchen1.0-lp156.2.1Discretization of AR(1) Processes
R-RTaxometrics3.2.1-lp156.1.1Taxometric Analysis
R-RTConnect0.1.4-lp156.2.1Tools for analyzing sales report files of iTunes Connect.
R-rTCRBCRr0.1.1-lp156.6.1Repertoire Analysis of the Detected Clonotype
R-RTD0.4.1-lp156.14.1Simple TD API Client
R-RTDE0.2.1-lp156.2.1Robust Tail Dependence Estimation
R-rtematres0.2-lp156.5.1The rtematres API package
R-rTensor1.4.8-lp156.1.1Tools for Tensor Analysis and Decomposition
R-rTensor22.0.0-lp156.2.1MultiLinear Algebra
R-rTephra0.1-lp156.2.1Tephra Transport Modeling
R-rtern0.1.2-lp156.2.1A Ternary Conditional Operator for R
R-RTextureMetrics1.1-lp156.2.1Functions for calculation of texture metrics for Grey Level
R-rtf0.4.14.1-lp156.2.1Rich Text Format (RTF) Output
R-RTFA0.1.0-lp156.1.1Robust Factor Analysis for Tensor Time Series
R-rtgstat0.3.2-lp156.6.1Client for \'TGStat API\'
R-Rthingsboard0.2.7-lp156.7.1\'ThingsBoard\' API
R-rticulate1.7.3-lp156.7.1Ultrasound Tongue Imaging
R-rtika2.7.0-lp156.1.1R Interface to \'Apache Tika\'
R-rtip1.1.1-lp156.14.1Inequality, Welfare and Poverty Indices and Curves using the
R-rtist1.0.0-lp156.2.1A Color Palette Generator
R-rtlr0.1.0-lp156.2.1Print Right-to-Left Languages Correctly
R-rtms0.2.0-lp156.1.1R Toolkit for Mass Spectrometry
R-Rtnmin2016.7.7-lp156.2.1Truncated Newton Function Minimization with Bounds Constrain
R-RTOMO1.1.6-lp156.8.1Visualization for Seismic Tomography
R-rtoot0.3.4-lp156.1.1Collecting and Analyzing Mastodon Data
R-rTorch0.4.2-lp156.7.1R Bindings to \'PyTorch\'
R-rTPC1.0.4-lp156.1.1Fitting and Analysing Thermal Performance Curves
R-rtrends0.1.0-lp156.17.1Analyze Download Logs from the CRAN RStudio Mirror
R-rTRIPLEXCWFlux0.2.0-lp156.1.1Carbon-Water Coupled Model
R-rtry1.1.0-lp156.2.1Preprocessing Plant Trait Data
R-rts1.1.14-lp156.1.1Raster Time Series Analysis
R-rtson1.3-lp156.3.1Typed JSON
R-rtsplot0.1.5-lp156.1.1Time Series Plot
R-Rttf2pt11.3.12-lp156.1.1\'ttf2pt1\' Program
R-RTTWebClient0.1.3-lp156.1.1Web Client to \'TickTrader\'
R-Rtumblr0.1.0-lp156.1.1Collecting and Analyzing \'Tumblr\' Data
R-Rtwalk1.8.0-lp156.2.1The R Implementation of the \'t-walk\' MCMC Algorithm
R-rtweet2.0.0-lp156.1.1Collecting Twitter Data
R-rtype0.1.1-lp156.2.1A strong type system for R
R-rtypeform2.1.0-lp156.19.1Interface to \'typeform\' Results
R-rucm0.6-lp156.2.1Implementation of Unobserved Components Model (UCM)
R-ruijter0.1.3-lp156.2.1Technical Data Sets by Ruijter et al. (2013)
R-ruin0.1.1-lp156.14.1Simulation of Various Risk Processes
R-ruler0.3.0-lp156.2.1Tidy Data Validation Reports
R-rumidas0.1.2-lp156.1.1Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and ME
R-runcharter0.2.0-lp156.7.1Automatically Plot, Analyse and Revises Limits of Multiple R
R-runDRT0.1.0-lp156.2.1Run Doubly Ranked Tests
R-runes0.1.0-lp156.2.1Convert Strings to Elder Futhark Runes
R-runexp0.2.1-lp156.1.1Softball Run Expectancy using Markov Chains and Simulation
R-Runiversal1.0.2-lp156.2.1Runiversal - Package for converting R objects to Java variab
R-runonce0.2.3-lp156.2.1Run Once and Save Result
R-runstats1.1.0-lp156.1.1Fast Computation of Running Statistics for Time Series
R-ruta1.2.0-lp156.2.1Implementation of Unsupervised Neural Architectures
R-rutifier1.0.4-lp156.2.1Chilean Rol Unico Tributario
R-rutledge0.1.1-lp156.2.1Real-Time PCR Data Sets by Rutledge et al. (2004)
R-ruv0.9.7.1-lp156.14.1Detect and Remove Unwanted Variation using Negative Controls
R-rv2.3.5-lp156.1.1Simulation-Based Random Variable Objects
R-rvalues0.7.1-lp156.1.1R-Values for Ranking in High-Dimensional Settings
R-RVerbalExpressions0.1.1-lp156.2.1Create Regular Expressions Easily
R-rversions2.1.2-lp156.2.1Query \'R\' Versions, Including \'r-release\' and \'r-oldrel
R-rvertnet0.8.4-lp156.1.1Search \'Vertnet\', a \'Database\' of Vertebrate Specimen Re
R-rvest1.0.4-lp156.1.1Easily Harvest (Scrape) Web Pages
R-rvgtest0.7.4-lp156.1.1Tools for Analyzing Non-Uniform Pseudo-Random Variate Genera
R-rvHPDT4.0-lp156.1.1Calling Haplotype-Based and Variant-Based Pedigree Disequili
R-RViennaCL1.7.1.8-lp156.3.1\'ViennaCL\' C++ Header Files
R-RViennaCL-devel1.7.1.8-lp156.3.1Development files for RViennaCL
R-rvif1.0-lp156.2.1Collinearity Detection using Redefined Variance Inflation Fa
R-RVIpkg0.3.2-lp156.1.1Regional Vulnerability Index
R-rvisidata1.0.0-lp156.2.1Wrapper for \'Visidata\', an Interactive Multitool for Tabul
R-rvkstat3.2.0-lp156.11.1R Interface to API \'vk.com\'
R-rvmethod0.1.2-lp156.2.1Radial Velocity Method for Detecting Exoplanets
R-Rvmmin2018.4.17.1-lp156.1.1Variable Metric Nonlinear Function Minimization
R-rvTDT1.0-lp156.2.1population control weighted rare-variants TDT
R-rwa0.0.3-lp156.15.1Perform a Relative Weights Analysis
R-rwalkr0.5.7-lp156.7.1API to Melbourne Pedestrian Data
R-rwarrior0.4.1-lp156.5.1R Warrior - An AI Programming Game
R-Rwave2.6.5-lp156.1.1Time-Frequency analysis of 1-D signals
R-rwavelet0.4.1-lp156.2.1Wavelet Analysis
R-rWBclimate0.1.3-lp156.7.1A package for accessing World Bank climate data
R-RWBP1.0-lp156.2.1Detects spatial outliers using a Random Walk on Bipartite Gr
R-rwc1.11-lp156.6.1Random Walk Covariance Models
R-Rwclust0.1.0-lp156.1.1Random Walk Clustering on Weighted Graphs
R-RweaveExtra1.1.0-lp156.1.1Sweave Drivers with Extra Tricks Up their Sleeve
R-RWebLogo1.0.3-lp156.2.1plotting custom sequence logos
R-rwebstat1.1.1-lp156.2.1Download Data from the Webstat API
R-RWgraph1.0.0-lp156.2.1Random Walks on Graphs Representing a Transactional Network
R-rwhatsapp0.2.4-lp156.6.1Import and Handling for \'WhatsApp\' Chat Logs
R-Rwhois1.0.16-lp156.2.1WHOIS Server Querying
R-RWiener1.3.3-lp156.2.1Wiener Process Distribution Functions
R-rWind1.1.7-lp156.9.1Download, Edit and Include Wind and Sea Currents Data in Eco
R-Rwinsteps1.0.1.1-lp156.2.1Running Winsteps in R
R-rWishart0.1.2-lp156.2.1Random Wishart Matrix Generation
R-rwisp1.0.5-lp156.1.1WISP Multiple Criteria Sorting Method
R-RWmisc0.1.2-lp156.2.1Miscellaneous Spatial Functions
R-Rwordseg0.3.2-lp156.2.1Chinese Word Segmentation
R-rworldmap1.3.8-lp156.2.1Mapping Global Data
R-rworldxtra1.01-lp156.2.1Country boundaries at high resolution.
R-rwstats0.1-lp156.2.1Chinese Character Frequency in Real World
R-rwt1.0.2-lp156.1.1\'Rice Wavelet Toolbox\' Wrapper
R-Rwtss0.9.2-lp156.10.1Client for Web Time-Series Service
R-rwunderground0.1.8-lp156.17.1R Interface to Weather Underground API
R-rxivistr0.1.1-lp156.1.1Tool for the \'Rxivist\' API
R-RXKCD1.9.2-lp156.4.1Get XKCD Comic from R
R-RXMCDA1.5.5-lp156.3.1Functions to Parse and Create XMCDA Files
R-Rxnat1.0.14-lp156.7.1Queries and Extracts Images from Extensible Neuroimaging Arc
R-rxSeq0.99.3-lp156.2.1Combined Total and Allele Specific Reads Sequencing Study
R-RXshrink2.3-lp156.1.1Maximum Likelihood Shrinkage using Generalized Ridge or Leas
R-ryandexdirect3.6.2-lp156.3.1Load Data From \'Yandex Direct\'
R-RYandexTranslate1.0-lp156.4.1R Interface to Yandex Translate API
R-rym1.0.6-lp156.2.1R Interface to Yandex Metrica API
R-RYoudaoTranslate1.0-lp156.3.1R package provide functions to translate English words into
R-rYoutheria1.0.3-lp156.7.1Access to the YouTheria Mammal Trait Database
R-rysgran2.1.0-lp156.2.1Grain size analysis, textural classifications and distributi
R-rytstat0.3.2-lp156.1.1Work with \'YouTube API\'
R-RZabbix0.1.0-lp156.2.1R Module for Working with the \'Zabbix API\'
R-rzentra0.1.0-lp156.17.1Client for the \'ZENTRA Cloud\' API
R-RZooRoH0.3.2.1-lp156.1.1Partitioning of Individual Autozygosity into Multiple Homozy
R-s20x3.1.40-lp156.1.1Functions for University of Auckland Course STATS 201/208 Da
R-s2dverification2.10.3-lp156.6.1Set of Common Tools for Forecast Verification
R-S2sls0.1-lp156.2.1Spatial Two Stage Least Squares Estimation
R-s3.resourcer1.1.1-lp156.6.1S3 Resource Resolver
R-s4vd1.1.1-lp156.17.1Biclustering via Sparse Singular Value Decomposition Incorpo
R-S70.1.1-lp156.1.1An Object Oriented System Meant to Become a Successor to S3
R-sabarsi0.1.0-lp156.2.1Background Removal and Spectrum Identification for SERS Data
R-sabre0.4.3-lp156.6.1Spatial Association Between Regionalizations
R-sac1.0.2-lp156.1.1Semiparametric Analysis of Change-Point
R-saccades0.1.1-lp156.2.1Detection of Fixations in Eye-Tracking Data
R-SACCR3.2-lp156.4.1SA Counterparty Credit Risk under CRR2
R-SACOBRA1.2-lp156.3.1Self-Adjusting COBRA
R-sad0.1.3-lp156.2.1Verify the Scale, Anisotropy and Direction of Weather Foreca
R-SADEG1.0.0-lp156.2.1Stability Analysis in Differentially Expressed Genes
R-sadists0.2.5-lp156.1.1Some Additional Distributions
R-sads0.4.2-lp156.4.1Maximum Likelihood Models for Species Abundance Distribution
R-sae.prop0.1.2-lp156.2.1Small Area Estimation using Fay-Herriot Models with Additive
R-sae21.2.1-lp156.3.1Small Area Estimation: Time-Series Models
R-saebnocov0.1.0-lp156.3.1Small Area Estimation using Empirical Bayes without Auxiliar
R-saeeb0.1.0-lp156.2.1Small Area Estimation for Count Data
R-saekernel0.1.1-lp156.1.1Small Area Estimation Non-Parametric Based Nadaraya-Watson K
R-saeME1.3.1-lp156.1.1Small Area Estimation with Measurement Error
R-saemix3.3-lp156.2.1Stochastic Approximation Expectation Maximization (SAEM) Alg
R-saens0.1.0-lp156.1.1Small Area Estimation with Cluster Information for Estimatio
R-saery1.0-lp156.2.1Small Area Estimation for Rao and Yu Model
R-SAFD2.1-lp156.2.1Statistical Analysis of Fuzzy Data
R-safeBinaryRegression0.1.3-lp156.2.1Safe Binary Regression
R-safedata1.1.3-lp156.4.1Interface to Data from the SAFE Project
R-safejoin0.2.0-lp156.2.1Perform \"Safe\" Table Joins
R-safestats0.8.7-lp156.3.1Safe Anytime-Valid Inference
R-safetensors0.1.2-lp156.1.1Safetensors File Format
R-safetyData1.0.0-lp156.1.1Clinical Trial Data
R-sageR0.6.1-lp156.1.1Applied Statistics for Economics and Management with R
R-SAGM1.0.0-lp156.1.1Spatial Autoregressive Graphical Model
R-sahpm1.0.1-lp156.1.1Variable Selection using Simulated Annealing
R-sAIC1.0.1-lp156.1.1Akaike Information Criterion for Sparse Estimation
R-SailoR1.2-lp156.2.1An Extension of the Taylor Diagram to Two-Dimensional Vector
R-salem0.2.0-lp156.2.1Provides Access to Salem Witchcraft Data
R-SALES1.0.2-lp156.1.1The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymme
R-salesforcer1.0.1-lp156.8.1An Implementation of \'Salesforce\' APIs Using Tidy Principl
R-SALTSampler1.1.0-lp156.2.1Efficient Sampling on the Simplex
R-SAMBA0.9.0-lp156.11.1Selection and Misclassification Bias Adjustment for Logistic
R-samon4.0.2-lp156.1.1Sensitivity Analysis for Missing Data
R-sampbias2.0.0-lp156.1.1Evaluating Geographic Sampling Bias in Biological Collection
R-Sample.Size1.0-lp156.2.1Sample size calculation
R-sampler0.2.4-lp156.16.1Sample Design, Drawing & Data Analysis Using Data Frames
R-SamplerCompare1.3.4-lp156.1.1A Framework for Comparing the Performance of MCMC Samplers
R-samplesize0.2.4-lp156.2.1Sample Size Calculation for Various t-Tests and Wilcoxon-Tes
R-SampleSize4ClinicalTrials0.2.3-lp156.1.1Sample Size Calculation for the Comparison of Means or Propo
R-samplesize4surveys4.1.1-lp156.12.1Sample Size Calculations for Complex Surveys
R-samplesizeCMH0.0.3-lp156.1.1Power and Sample Size Calculation for the Cochran-Mantel-Hae
R-samplesizeestimator1.0.0-lp156.2.1Calculate Sample Size for Various Scenarios
R-samplesizelogisticcasecontrol2.0.2-lp156.1.1Sample Size and Power Calculations for Case-Control Studies
R-SampleSizeMeans1.2.3-lp156.1.1Sample Size Calculations for Normal Means
R-SampleSizeProportions1.1.3-lp156.1.1Calculating Sample Size Requirements when Estimating the Dif
R-sampleVADIR1.0.0-lp156.4.1Draw Stratified Samples from the VADIR Database
R-sampling2.10-lp156.1.1Survey Sampling
R-SamplingBigData1.0.0-lp156.2.1Sampling Methods for Big Data
R-samplingbook1.2.4-lp156.4.1Survey Sampling Procedures
R-samplingDataCRT1.0-lp156.2.1Sampling Data Within Different Study Designs for Cluster Ran
R-samplingEstimates0.1.3-lp156.2.1Sampling Estimates
R-samplingR1.0.1-lp156.1.1Sampling and Estimation Methods
R-SamplingStrata1.5.4-lp156.2.1Optimal Stratification of Sampling Frames for Multipurpose S
R-samplingVarEst1.5-lp156.1.1Sampling Variance Estimation
R-samplrData1.0.0-lp156.1.1Datasets from the SAMPLING Project
R-sams0.4.3-lp156.1.1Merge-Split Samplers for Conjugate Bayesian Nonparametric Mo
R-SAMTx0.3.0-lp156.2.1Sensitivity Assessment to Unmeasured Confounding with Multip
R-SAMUR1.1-lp156.1.1Stochastic Augmentation of Matched Data Using Restriction Me
R-SAMURAI1.2.1-lp156.4.1Sensitivity Analysis of a Meta-analysis with Unpublished but
R-sand2.0.0-lp156.7.1Statistical Analysis of Network Data with R, 2nd Edition
R-sandbox0.2.1-lp156.2.1Probabilistic Numerical Modelling of Sediment Properties
R-sandwichr1.0.4-lp156.1.1Spatial Prediction Based on Spatial Stratified Heterogeneity
R-SanFranBeachWater0.1.0-lp156.18.1Downloads and Tidies the San Francisco Public Utilities Comm
R-SangerTools1.0.2-lp156.10.1Tools for Population Health Management Analytics
R-sanitizers0.1.1-lp156.1.1C/C++ Source Code to Trigger Address and Undefined Behaviour
R-sanityTracker0.1.0-lp156.2.1Keeps Track of all Performed Sanity Checks
R-sanketphonetictranslator0.1.0-lp156.2.1Phonetic Transliteration Between Hindi and English
R-sankey1.0.2-lp156.2.1Illustrate the Flow of Information or Material
R-sanon1.6-lp156.2.1Stratified Analysis with Nonparametric Covariable Adjustment
R-sansa0.0.1-lp156.4.1Synthetic Data Generation for Imbalanced Learning in \'R\'
R-sanzo0.1.0-lp156.2.1Color Palettes Based on the Works of Sanzo Wada
R-SAP1.0-lp156.1.1Statistical Analysis and Programming
R-sapevom0.2.0-lp156.1.1Group Ordinal Method for Multiple Criteria Decision-Making
R-sapfluxnetr0.1.4-lp156.3.1Working with \'Sapfluxnet\' Project Data
R-SAPP1.0.8-lp156.2.1Statistical Analysis of Point Processes
R-saqgetr0.2.21-lp156.16.1Import Air Quality Monitoring Data in a Fast and Easy Way
R-sara4r0.0.9-lp156.2.1An R-GUI for Spatial Analysis of Surface Runoff using the NR
R-SARP.moodle1.0.4-lp156.1.1XML Output Functions for Easy Creation of Moodle Questions
R-sarp.snowprofile1.3.2-lp156.2.1Snow Profile Analysis for Snowpack and Avalanche Research
R-sarp.snowprofile.pyface0.1.3-lp156.4.1\'python\' Modules from Snowpack and Avalanche Research
R-SAScii1.0.2-lp156.1.1Import ASCII Files Directly into R using Only a \'SAS\' Inpu
R-SASdates0.1.0-lp156.1.1Convert the Dates to \'SAS\' Formats
R-sasMap1.0.0-lp156.13.1Static \'SAS\' Code Analysis
R-SASmixed1.0.4-lp156.2.1Data sets from \"SAS System for Mixed Models\"
R-SASPECT0.1.1-lp156.2.1Significant AnalysiS of PEptide CounTs.
R-sasr0.1.2-lp156.2.1\'SAS\' Interface
R-sass0.4.9-lp156.3.1Syntactically Awesome Style Sheets (\'Sass\')
R-sassy1.2.5-lp156.1.1Makes \'R\' Easier for Everyone
R-satin1.1.0-lp156.3.1Visualisation and Analysis of Ocean Data Derived from Satell
R-satres1.1.1-lp156.1.1Grouping Satellite Bands by Spectral and Spatial Resolution
R-satscanMapper1.0.2-lp156.3.1\'SaTScan\' (TM) Results Mapper
R-SAutomata0.1.0-lp156.2.1Inference and Learning in Stochastic Automata
R-saves0.5-lp156.2.1Fast load variables
R-savonliquide0.2.0-lp156.7.1Accessibility Toolbox for \'R\' Users
R-savvyr0.1.1-lp156.1.1Survival Analysis for AdVerse Events with VarYing Follow-Up
R-sawnuti0.1.1-lp156.1.1Comparing Sequences with Non-Uniform Time Intervals
R-saws0.9.7.0-lp156.1.1Small-Sample Adjustments for Wald Tests Using Sandwich Estim
R-sazedR2.0.2-lp156.6.1Parameter-Free Domain-Agnostic Season Length Detection in Ti
R-SBAGM0.1.0-lp156.23.1Search Best ARIMA, GARCH, and MS-GARCH Model
R-sbde1.0.1-lp156.1.1Semiparametric Bayesian Density Estimation
R-sBF1.1.1-lp156.2.1Smooth Backfitting
R-sbgcop0.980-lp156.2.1Semiparametric Bayesian Gaussian Copula Estimation and Imput
R-sbioPN1.1.0-lp156.2.1sbioPN: Simulation of deterministic and stochastic spatial b
R-sbl0.1.0-lp156.2.1Sparse Bayesian Learning for QTL Mapping and Genome-Wide Ass
R-SBMSplitMerge1.1.1-lp156.15.1Inference for a Generalised SBM with a Split Merge Sampler
R-SBN1.0.0-lp156.6.1Generate Stochastic Branching Networks
R-SBSDiff0.1.0-lp156.2.1Satorra-Bentler Scaled Chi-Squared Difference Test
R-sbtools1.1.20-lp156.1.1USGS ScienceBase Tools
R-SC2API1.0.0-lp156.3.1Blizzard SC2 API Wrapper
R-sc2sc0.0.1.12-lp156.1.1Spatial Transfer of Statistics among Spanish Census Sections
R-sca0.9.2-lp156.1.1Simple Component Analysis
R-scaffolder0.0.1-lp156.7.1Scaffolding Interfaces to Packages in Other Programming Lang
R-scaleAlign1.0.0.0-lp156.2.1Scale Alignment for Between-Items Multidimensional Rasch Fam
R-scaleboot1.0.1-lp156.2.1Approximately Unbiased P-Values via Multiscale Bootstrap
R-scales1.3.0-lp156.1.1Scale Functions for Visualization
R-scalpel1.0.3-lp156.6.1Processes Calcium Imaging Data
R-scalreg1.0.1-lp156.2.1Scaled Sparse Linear Regression
R-scam1.2.17-lp156.1.1Shape Constrained Additive Models
R-scapesClassification1.0.0-lp156.3.1User-Defined Classification of Raster Surfaces
R-scar0.2.2-lp156.1.1Shape-Constrained Additive Regression: a Maximum Likelihood
R-scaRabee1.1.4-lp156.1.1Optimization Toolkit for Pharmacokinetic-Pharmacodynamic Mod
R-SCAT0.5.0-lp156.2.1Summary Based Conditional Association Test
R-scattermore1.2-lp156.1.1Scatterplots with More Points
R-scatterplot3d0.3.44-lp156.1.13D Scatter Plot
R-SCBiclust1.0.1-lp156.1.1Identifies Mean, Variance, and Hierarchically Clustered Bicl
R-SCBmeanfd1.2.2-lp156.2.1Simultaneous Confidence Bands for the Mean of Functional Dat
R-scbursts1.6-lp156.13.1Single Channel Bursts Analysis
R-scCATCH3.2.2-lp156.3.1Single Cell Cluster-Based Annotation Toolkit for Cellular He
R-sccr2.1-lp156.13.1The Self-Consistent, Competing Risks (SC-CR) Algorithms
R-SCCS1.7-lp156.2.1The Self-Controlled Case Series Method
R-scdhlm0.7.3-lp156.1.1Estimating Hierarchical Linear Models for Single-Case Design
R-scenario1.0-lp156.2.1Construct Reduced Trees with Predefined Nodal Structures
R-scenes0.1.0-lp156.4.1Switch Between Alternative \'shiny\' UIs
R-SCEnt0.0.1-lp156.6.1Single Cell Entropy Analysis of Gene Heterogeneity in Cell P
R-SCEPtER0.2.4-lp156.1.1Stellar CharactEristics Pisa Estimation gRid
R-SCEPtERbinary0.1.1-lp156.2.1Stellar CharactEristics Pisa Estimation gRid for Binary Syst
R-SCGLR3.0-lp156.16.1Supervised Component Generalized Linear Regression
R-scgwr0.1.2.21-lp156.7.1Scalable Geographically Weighted Regression
R-schoenberg2.0.3-lp156.1.1Tools for 12-Tone Musical Composition
R-schoolmath0.4.2-lp156.1.1Functions and Datasets for Math Used in School
R-schoRsch1.10-lp156.1.1Tools for Analyzing Factorial Experiments
R-schrute1.0.1-lp156.1.1The Entire Transcript from the Office in Tidy Format
R-schtools0.4.1-lp156.2.1Schloss Lab Tools for Reproducible Microbiome Research
R-schumaker1.2.1-lp156.1.1Schumaker Shape-Preserving Spline
R-SCIBER0.2.2-lp156.1.1Single-Cell Integrator and Batch Effect Remover
R-scico1.5.0-lp156.2.1Colour Palettes Based on the Scientific Colour-Maps
R-scidesignR1.0.0-lp156.1.1Data Sets from Design and Analysis of Experiments and Observ
R-scientoText0.1-lp156.7.1Text & Scientometric Analytics
R-scifigure0.2-lp156.2.1Visualize \'Reproducibility\' and \'Replicability\' in a Com
R-SCINA1.2.0-lp156.3.1A Semi-Supervised Category Identification and Assignment Too
R-sciplot1.2.0-lp156.2.1Scientific Graphing Functions for Factorial Designs
R-scipub1.2.3-lp156.2.1Summarize Data for Scientific Publication
R-sciRmdTheme0.1-lp156.1.1Upgraded \'Rmarkdown\' Themes for Scientific Writing
R-SciViews0.9.13.1-lp156.2.1SciViews - Main package
R-sclero0.2-lp156.1.1Measure Growth Patterns and Align Sampling Spots in Photogra
R-scLink1.0.1-lp156.2.1Inferring Functional Gene Co-Expression Networks from Single
R-sclr0.3.1-lp156.17.1Scaled Logistic Regression
R-sClust1.0-lp156.1.1R Toolbox for Unsupervised Spectral Clustering
R-SCMA1.3.1-lp156.2.1Single-Case Meta-Analysis
R-scopr0.3.4-lp156.6.1Read Ethoscope Data
R-SCOPRO0.1.0-lp156.4.1Score Projection Between in \'Vivo\' and in \'Vitro\' Datase
R-SCOR1.1.2-lp156.1.1Spherically Constrained Optimization Routine
R-scorecard0.4.4-lp156.2.1Credit Risk Scorecard
R-ScoreEB0.1.1-lp156.1.1Score Test Integrated with Empirical Bayes for Association S
R-ScoreGGUM1.0-lp156.2.1Score Persons Using the Generalized Graded Unfolding Model
R-SCORER20.99.0-lp156.2.1SCORER 2.0: an algorithm for distinguishing parallel dimeric
R-scoring0.6-lp156.2.1Proper Scoring Rules
R-scoringfunctions0.0.6-lp156.1.1A Collection of Scoring Functions for Assessing Point Foreca
R-scoringTools0.1.3-lp156.1.1Credit Scoring Tools
R-SCORPION1.0.2-lp156.2.1Single Cell Oriented Reconstruction of PANDA Individual Opti
R-scout1.0.4-lp156.2.1Implements the Scout Method for Covariance-Regularized Regre
R-SCperf1.1.1-lp156.2.1Functions for Planning and Managing Inventories in a Supply
R-SCpubr2.0.2-lp156.1.1Generate Publication Ready Visualizations of Single Cell Tra
R-scquantum1.0.0-lp156.1.1Estimate Ploidy and Absolute Copy Number from Single Cell Se
R-ScrabbleScore1.0-lp156.2.1Calculates Scrabble score for strings
R-scraEP1.2-lp156.7.1Scrape the Web with Extra Power
R-scrapeR0.1.8-lp156.1.1These Functions Fetch and Extract Text Content from Specifie
R-scrappy0.0.1-lp156.11.1A Simple Web Scraper
R-ScreenClean1.0.1-lp156.2.1Screen and clean variable selection procedures
R-ScreeNOT0.1.0-lp156.1.1\'ScreeNOT\': MSE-Optimal Singular Value Thresholding in Cor
R-scribe0.3.0-lp156.1.1Command Argument Parsing
R-scrime1.3.5-lp156.2.1Analysis of High-Dimensional Categorical Data such as SNP Da
R-script0.1.1-lp156.1.1Identify Script Name
R-scriptests1.0.16-lp156.2.1Transcript-Based Unit Tests that are Easy to Create and Main
R-scriptexec0.3.1-lp156.2.1Execute Native Scripts
R-scriptloc1.0.0-lp156.1.1Get the Location of the R Script that is Being Sourced/Execu
R-scriptName1.0.1-lp156.4.1Determine a Script\'s Filename from Within the Script Itself
R-scriptuRs0.1.0-lp156.2.1Complete Text of the LDS Scriptures
R-scrobbler1.0.3-lp156.1.1Download \'Scrobbles\' from \'Last.fm\'
R-scrollrevealR0.2.0-lp156.8.1Animate \'shiny\' Elements when They Scroll into View using
R-SCRSELECT1.3.3-lp156.2.1Performs Bayesian Variable Selection on the Covariates in a
R-SCRT1.3.1-lp156.2.1Single-Case Randomization Tests
R-scrubr0.4.0-lp156.1.1Clean Biological Occurrence Records
R-scryr1.0.0-lp156.9.1An Interface to the \'Scryfall\' API
R-scs3.2.4-lp156.1.1Splitting Conic Solver
R-scSorter0.0.2-lp156.1.1Implementation of \'scSorter\' Algorithm
R-SCtools0.3.3-lp156.3.1Extensions for Synthetic Controls Analysis
R-scuba1.11.1-lp156.1.1Diving Calculations and Decompression Models
R-scUtils0.1.0-lp156.16.1Utility Functions for Single-Cell RNA Sequencing Data
R-sda1.3.8-lp156.1.1Shrinkage Discriminant Analysis and CAT Score Variable Selec
R-SDaA0.1.5-lp156.1.1Sampling: Design and Analysis
R-sdam1.1.4-lp156.1.1Social Dynamics and Complexity in the Ancient Mediterranean
R-SDAR0.9.55-lp156.13.1Stratigraphic Data Analysis
R-SDAResources0.1.1-lp156.1.1Datasets and Functions for \'Sampling: Design and Analysis,
R-sdcLog0.5.0-lp156.9.1Tools for Statistical Disclosure Control in Research Data Ce
R-SDCNway1.0.1-lp156.16.1Tools to Evaluate Disclosure Risk
R-sdcSpatial0.5.2-lp156.3.1Statistical Disclosure Control for Spatial Data
R-sdcTarget0.9.11-lp156.2.1Statistical Disclosure Control Substitution Matrix Calculato
R-SDDE1.0.1-lp156.2.1Shortcuts, Detours and Dead Ends (SDDE) Path Types in Genome
R-sddpack0.9-lp156.2.1Semidiscrete Decomposition
R-sde2.0.18-lp156.5.1Simulation and Inference for Stochastic Differential Equatio
R-sdef1.7-lp156.2.1Synthesizing List of Differentially Expressed Features
R-SDEFSR0.7.22-lp156.12.1Subgroup Discovery with Evolutionary Fuzzy Systems
R-SDGdetector2.7.3-lp156.2.1Detect SDGs and Targets in Text
R-SDLfilter2.3.3-lp156.1.1Filtering and Assessing the Sample Size of Tracking Data
R-sdm1.2.40-lp156.2.1Species Distribution Modelling
R-sdmApp0.0.2-lp156.10.1A User-Friendly Application for Species Distribution Modelin
R-SDMPlay2.0-lp156.5.1Species Distribution Modelling Playground
R-sdmpredictors0.2.15-lp156.2.1Species Distribution Modelling Predictor Datasets
R-sdPrior1.0.0-lp156.6.1Scale-Dependent Hyperpriors in Structured Additive Distribut
R-sdprisk1.1.6-lp156.3.1Measures of Risk for the Compound Poisson Risk Process with
R-SDPrism2D0.1.1-lp156.1.1Visualizing the Standard Deviation as the Size of a Prism
R-sdpt3r0.3-lp156.2.1Semi-Definite Quadratic Linear Programming Solver
R-SDT1.0.0-lp156.2.1Self-Determination Theory Measures
R-sdtoolkit2.33.1-lp156.2.1Scenario Discovery Tools to Support Robust Decision Making
R-sdwd1.0.5-lp156.2.1Sparse Distance Weighted Discrimination
R-SE.EQ1.0-lp156.2.1SE-Test for Equivalence
R-SEA2.0.1-lp156.8.1Segregation Analysis
R-seacarb3.3.3-lp156.1.1Seawater Carbonate Chemistry
R-SEAGLE1.0.1-lp156.1.1Scalable Exact Algorithm for Large-Scale Set-Based Gene-Envi
R-sealasso0.1.3-lp156.1.1Standard Error Adjusted Adaptive Lasso
R-searchConsoleR0.4.0-lp156.11.1Google Search Console R Client
R-searcher0.0.7-lp156.1.1Query Search Interfaces
R-SearchTrees0.5.5-lp156.1.1Spatial Search Trees
R-seas0.6.0-lp156.1.1Seasonal analysis and graphics, especially for climatology
R-SEAsic0.1-lp156.2.1Score Equity Assessment- summary index computation
R-season0.3.15-lp156.6.1Seasonal Analysis of Health Data
R-seasonal1.8.3-lp156.1.1R Interface to X-13-ARIMA-SEATS
R-seasonalclumped0.3.2-lp156.11.1Toolbox for Clumped Isotope Seasonality Reconstructions
R-seastests0.15.4-lp156.9.1Seasonality Tests
R-SecDim3.2-lp156.1.1The Second Dimension of Spatial Association
R-SEchart0.1-lp156.2.1SEchart
R-SecKW0.2-lp156.2.1The SecKW Distribution
R-SECP0.1.5-lp156.1.1Statistical Estimation of Cluster Parameters
R-secret1.1.0-lp156.3.1Share Sensitive Information in R Packages
R-secuTrialR1.3.3-lp156.1.1Handling of Data from the Clinical Data Management System \'
R-sedproxy0.7.5-lp156.2.1Simulation of Sediment Archived Climate Proxy Records
R-seeclickfixr1.1.0-lp156.4.1Access Data from the SeeClickFix Web API
R-seecolor0.2.0-lp156.2.1View Colors Used in R Objects in the Console
R-SeedCalc1.0.0-lp156.2.1Seed Germination and Seedling Growth Indexes
R-seedCCA3.1-lp156.9.1Seeded Canonical Correlation Analysis
R-SeedImbibition0.1.0-lp156.2.1Seed Imbibition Percentage
R-seedr0.3.0-lp156.2.1Hydro and Thermal Time Seed Germination Models in R
R-SeedVigorIndex0.1.0-lp156.2.1Seed Vigor Index
R-seedwater2.0-lp156.1.1Models for Drying and Soaking Kinetics of Seeds
R-seer1.1.8-lp156.10.1Feature-Based Forecast Model Selection
R-SEER2R1.0-lp156.2.1reading and writing SEER*STAT data files
R-SeerMapper1.2.5-lp156.5.1A Quick Way to Map U.S. Rates and Data of U.S. States, Count
R-SeerMapper2010East1.2.5-lp156.1.1Supplemental U.S. 2010 Census Tract Boundaries for 20 Easter
R-SeerMapper2010Regs1.2.5-lp156.1.1Supplemental U.S. 2010 Census Tract Boundaries for 19 States
R-SeerMapper2010West1.2.5-lp156.1.1Supplemental U.S. 2010 Census Tract Boundaries for 13 Wester
R-SeerMapperEast1.2.5-lp156.1.1Supplemental U.S. 2000 Census Tract Boundaries for 20 States
R-SeerMapperRegs1.2.5-lp156.1.1Supplemental U.S. 2000 Census Tract Boundaries for 19 States
R-SeerMapperWest1.2.5-lp156.1.1Supplemental U.S. 2000 Census Tract Boundaries for 13 Wester
R-seewave2.2.3-lp156.1.1Sound Analysis and Synthesis
R-seg0.5.7-lp156.2.1Measuring Spatial Segregation
R-SegEnvIneq1.1-lp156.1.1Environmental Inequality Indices Based on Segregation Measur
R-segRDA1.0.2-lp156.2.1Modeling Non-Continuous Linear Responses of Ecological Data
R-seguid0.1.0-lp156.2.1Sequence Globally Unique Identifier (SEGUID) Checksums
R-sehrnett0.1.0-lp156.1.1A Very Nice Interface to \'WordNet\'
R-seismic1.1-lp156.1.1Predict Information Cascade by Self-Exciting Point Process
R-Sejong0.01-lp156.2.1KoNLP static dictionaries and Sejong project resources.
R-SEL1.0.4-lp156.1.1Semiparametric Elicitation
R-selcorr1.0-lp156.1.1Post-Selection Inference for Generalized Linear Models
R-selectapref0.1.2-lp156.2.1Analysis of Field and Laboratory Foraging
R-selection.index1.2.0-lp156.1.1Analysis of Selection Index in Plant Breeding
R-selectiongain2.0.710-lp156.1.1A Tool for Calculation and Optimization of the Expected Gain
R-selectMeta1.0.8-lp156.4.1Estimation of Weight Functions in Meta Analysis
R-selectr0.4.2-lp156.7.1Translate CSS Selectors to XPath Expressions
R-SeleMix1.0.2-lp156.2.1Selective Editing via Mixture Models
R-selenider0.4.0-lp156.2.1Concise, Lazy and Reliable Wrapper for \'chromote\' and \'se
R-selenium0.1.3-lp156.1.1Low-Level Browser Automation Interface
R-seleniumPipes0.3.7-lp156.4.1R Client Implementing the W3C WebDriver Specification
R-selfea1.0.1-lp156.9.1Select Features Reliably with Cohen\'s Effect Sizes
R-selfingTree0.2-lp156.2.1Genotype Probabilities in Intermediate Generations of Inbree
R-semds0.9.6-lp156.2.1Structural Equation Multidimensional Scaling
R-semfindr0.1.8-lp156.2.1Influential Cases in Structural Equation Modeling
R-semgram0.1.0-lp156.6.1Extracting Semantic Motifs from Textual Data
R-semhelpinghands0.1.11-lp156.2.1Helper Functions for Structural Equation Modeling
R-semiArtificial2.4.1-lp156.10.1Generator of Semi-Artificial Data
R-semicontMANOVA0.1.8-lp156.1.1Multivariate ANalysis of VAriance with Ridge Regularization
R-SEMID0.4.1-lp156.3.1Identifiability of Linear Structural Equation Models
R-SemiEstimate1.1.3-lp156.1.1Solve Semi-Parametric Estimation by Implicit Profiling
R-SemiMarkov1.4.6-lp156.2.1Multi-States Semi-Markov Models
R-seminr2.1.0-lp156.1.1Building and Estimating Structural Equation Models
R-SemiPar1.0.4.2-lp156.2.1Semiparametic Regression
R-semlbci0.11.2-lp156.2.1Likelihood-Based Confidence Interval in Structural Equation
R-SEMModComp1.0-lp156.2.1Model Comparisons for SEM
R-semnova0.1.6-lp156.4.1Latent Repeated Measures ANOVA
R-semPLS1.0.10-lp156.2.1Structural Equation Modeling Using Partial Least Squares
R-SEMrushR0.1.0-lp156.2.1R Interface to Access the \'SEMrush\' API
R-SEMsens1.5.5-lp156.2.1A Tool for Sensitivity Analysis in Structural Equation Model
R-semTests0.5.0-lp156.1.1Goodness-of-Fit Testing for Structural Equation Models
R-semTools0.5.6-lp156.3.1Useful tools for structural equation modeling
R-semverutils0.1.0-lp156.3.1Semantic Version Utilities
R-sendmailR1.4.0-lp156.1.1Send Email Using R
R-sensibo.sky1.0.0-lp156.3.1Access to \'Sensibo Sky\' API V2 for Air Conditioners Remote
R-sensiPhy0.8.5-lp156.17.1Sensitivity Analysis for Comparative Methods
R-sensitivity2x2xk1.01-lp156.2.1Sensitivity Analysis for 2x2xk Tables in Observational Studi
R-SensitivityCaseControl2.2-lp156.1.1Sensitivity Analysis for Case-Control Studies
R-sensitivityfull1.5.6-lp156.2.1Sensitivity Analysis for Full Matching in Observational Stud
R-sensitivitymult1.0.2-lp156.2.1Sensitivity Analysis for Observational Studies with Multiple
R-sensitivitymv1.4.3-lp156.2.1Sensitivity Analysis in Observational Studies
R-sensitivitymw2.1-lp156.1.1Sensitivity Analysis for Observational Studies Using Weighte
R-sensitivityPStrat1.0.6-lp156.2.1Principal Stratification Sensitivity Analysis Functions
R-sensobol0.2.2-lp156.5.1Computation of High-Order Sobol\' Sensitivity Indices
R-sensory1.1-lp156.2.1Simultaneous Model-Based Clustering and Imputation via a Pro
R-SenSpe1.3-lp156.1.1Estimating Specificity at Controlled Sensitivity, or Vice Ve
R-sensR1.5.3-lp156.1.1Thurstonian Models for Sensory Discrimination
R-SenSrivastava2015.6.25.1-lp156.1.1Datasets from Sen & Srivastava
R-senstrat1.0.3-lp156.2.1Sensitivity Analysis for Stratified Observational Studies
R-SensusR2.3.1-lp156.22.1Sensus Analytics
R-sentiment.ai0.1.1-lp156.7.1Simple Sentiment Analysis Using Deep Learning
R-sentimentr2.9.0-lp156.11.1Calculate Text Polarity Sentiment
R-sentryR1.1.2-lp156.2.1Send Errors and Messages to Sentry
R-SEofM0.1.0-lp156.1.1Standard Error of Measurement
R-SEPaLS0.1.0-lp156.1.1Shrinkage for Extreme Partial Least-Squares (SEPaLS)
R-sEparaTe0.3.2-lp156.1.1Maximum Likelihood Estimation and Likelihood Ratio Test Func
R-sepkoski0.0.1-lp156.1.1Sepkoski\'s Fossil Marine Animal Genera Compendium
R-seplyr1.0.4-lp156.4.1Improved Standard Evaluation Interfaces for Common Data Mani
R-SeqAlignR0.1.1-lp156.1.1Sequence Alignment and Visualization Tool
R-SeqAlloc1.0-lp156.2.1Sequential Allocation for Prospective Experiments
R-seqCBS1.2.1-lp156.2.1Copy Number Profiling using Sequencing and CBS
R-seqDesign1.2-lp156.2.1Simulation and Group Sequential Monitoring of Randomized Two
R-SeqExpMatch0.1.0-lp156.1.1Sequential Experimental Design via Matching on-the-Fly
R-seqhandbook0.1.1-lp156.1.1Miscellaneous Tools for Sequence Analysis
R-seqICP1.1-lp156.3.1Sequential Invariant Causal Prediction
R-seqinr4.2.36-lp156.1.1Biological Sequences Retrieval and Analysis
R-SeqMADE1.0-lp156.2.1Network Module-Based Model in the Differential Expression An
R-seqmon2.5-lp156.2.1Group Sequential Design Class for Clinical Trials
R-seqRFLP1.0.1-lp156.2.1Simulation and visualization of restriction enzyme cutting p
R-seqSHP0.1.1-lp156.2.1Building Sequences from SHP Waves
R-seqtest0.1.0-lp156.2.1Sequential Triangular Test
R-sequence2.0-lp156.2.1Analysis of Sequences of Events
R-Sequential4.3.3-lp156.1.1Exact Sequential Analysis for Poisson and Binomial Data
R-SequentialDesign1.0-lp156.3.1Observational Database Study Planning using Exact Sequential
R-sequoia2.11.2-lp156.2.1Pedigree Inference from SNPs
R-sergeant0.9.1-lp156.9.1Tools to Transform and Query Data with Apache Drill
R-serial3.0-lp156.2.1The Serial Interface Package
R-serieslcb0.4.0-lp156.13.1Lower Confidence Bounds for Binomial Series System
R-seroincidence2.0.0-lp156.2.1Estimating Infection Rates from Serological Data
R-serp0.2.4-lp156.1.1Smooth Effects on Response Penalty for CLM
R-servosphereR0.1.1-lp156.13.1Analyze Data Generated from Syntech Servosphere Trials
R-sesem1.0.2-lp156.5.1Spatially Explicit Structural Equation Modeling
R-SEset1.0.1-lp156.1.1Computing Statistically-Equivalent Path Models
R-SESraster0.7.0-lp156.2.1Raster Randomization for Null Hypothesis Testing
R-session1.0.3-lp156.2.1Functions for interacting with, saving and restoring R sessi
R-sessioninfo1.2.2-lp156.2.1R Session Information
R-set1.2-lp156.19.1Set Operation
R-setartree0.2.1-lp156.1.1SETAR-Tree - A Novel and Accurate Tree Algorithm for Global
R-SetMethods4.0-lp156.6.1Functions for Set-Theoretic Multi-Method Research and Advanc
R-SETPath1.0-lp156.2.1Spiked Eigenvalue Test for Pathway data
R-SetRank1.1.0-lp156.7.1Advanced Gene Set Enrichment Analysis
R-setRNG2024.2.1-lp156.1.1Set (Normal) Random Number Generator and Seed
R-sets1.0.25-lp156.1.1Sets, Generalized Sets, Customizable Sets and Intervals
R-setter0.0.1-lp156.2.1Mutators that Work with Pipes
R-settings0.2.7-lp156.1.1Software Option Settings Manager for R
R-settingsSync3.0.2-lp156.1.1\'Rstudio\' Addin to Sync Settings and Keymaps
R-sever0.0.7-lp156.12.1Customise \'Shiny\' Disconnected Screens and Error Messages
R-severity2.0-lp156.2.1Mayo\'s Post-data Severity Evaluation
R-sfa1.0.1-lp156.2.1Stochastic Frontier Analysis
R-sfadv1.0.1-lp156.2.1Advanced Methods for Stochastic Frontier Analysis
R-sfc0.1.0-lp156.17.1Substance Flow Computation
R-sfd0.1.0-lp156.1.1Space-Filling Design Library
R-sFFLHD0.1.2-lp156.5.1Sequential Full Factorial-Based Latin Hypercube Design
R-sfhotspot0.8.0-lp156.2.1Hot-Spot Analysis with Simple Features
R-sfinx1.7.99-lp156.2.1Straightforward Filtering Index for AP-MS Data Analysis (SFI
R-sfnetworks0.6.4-lp156.2.1Tidy Geospatial Networks
R-sfo0.1.2-lp156.1.1San Francisco International Airport Monthly Air Passengers
R-sft2.2.1-lp156.17.1Functions for Systems Factorial Technology Analysis of Data
R-SFtools0.1.0-lp156.3.1Space Filling Based Tools for Data Mining
R-sgat0.9-lp156.12.1Extract Information from Google\'s \"Popular Times\"
R-SGB1.0.1.1-lp156.1.1Simplicial Generalized Beta Regression
R-SGCS2.7-lp156.2.1Spatial Graph Based Clustering Summaries for Spatial Point P
R-sgee0.6.0-lp156.2.1Stagewise Generalized Estimating Equations
R-sgeostat1.0.27-lp156.2.1An Object-oriented Framework for Geostatistical Modeling in
R-SGL1.3-lp156.2.1Fit a GLM (or Cox Model) with a Combination of Lasso and Gro
R-sglasso1.2.6-lp156.2.1Lasso Method for RCON(V,E) Models
R-sglr0.8-lp156.9.1Sequential Generalized Likelihood Ratio Decision Boundaries
R-sgmcmc0.2.5-lp156.11.1Stochastic Gradient Markov Chain Monte Carlo
R-sgmodel0.1.2-lp156.1.1Solves a Generic Stochastic Growth Model with a Representati
R-sGMRFmix0.3.0-lp156.18.1Sparse Gaussian Markov Random Field Mixtures for Anomaly Det
R-sgo0.9.2-lp156.1.1Simple Geographical Operations (with OSGB36)
R-sgolay1.0.3-lp156.1.1Efficient Savitzky-Golay Filtering
R-sgpv1.1.0-lp156.2.1Calculate Second-Generation p-Values and Associated Measures
R-sgr1.3.1-lp156.1.1Sample Generation by Replacement
R-sgsR1.4.5-lp156.2.1Structurally Guided Sampling
R-sgstar0.1.2-lp156.9.1Seasonal Generalized Space Time Autoregressive (S-GSTAR) Mod
R-sgt2.0-lp156.7.1Skewed Generalized T Distribution Tree
R-shades1.4.0-lp156.2.1Simple Colour Manipulation
R-shadow0.7.1-lp156.4.1Geometric Shadow Calculations
R-shadowr0.0.2-lp156.3.1Selenium Plugin to Manage Multi Level Shadow Elements on Web
R-ShapDoE1.0.0-lp156.2.1Approximation of the Shapley Values Based on Experimental De
R-shape1.4.6.1-lp156.1.1Functions for plotting graphical shapes, colors
R-shapefiles0.7.2-lp156.1.1Read and Write ESRI Shapefiles
R-shapeNA0.0.2-lp156.1.1M-Estimation of Shape for Data with Missing Values
R-ShapePattern3.0.1-lp156.3.1Tools for Analyzing Shapes and Patterns
R-shapeR1.0.1-lp156.1.1Collection and Analysis of Otolith Shape Data
R-ShapeRotator0.1.0-lp156.1.1Standardised Rigid Rotations of Articulated Three-Dimensiona
R-ShapleyOutlier0.1.1-lp156.2.1Multivariate Outlier Explanations using Shapley Values and M
R-shapper0.1.3-lp156.17.1Wrapper of Python Library \'shap\'
R-shar2.3-lp156.1.1Species-Habitat Associations
R-sharpData1.4-lp156.1.1Data Sharpening
R-SharpeR1.3.0-lp156.1.1Statistical Significance of the Sharpe Ratio
R-sharpr21.1.1.0-lp156.2.1Estimating Regulatory Scores and Identifying ATAC-STARR Data
R-sharpshootR2.3.1-lp156.1.1A Soil Survey Toolkit
R-shatteringdt0.1.0-lp156.3.1Provide SLT Tools for \'rpart\' and \'tree\' to Study Decisi
R-shazam1.0.2-lp156.3.1Immunoglobulin Somatic Hypermutation Analysis
R-shidashi0.1.6-lp156.3.1A Shiny Dashboard Template System
R-ShiftConvolvePoibin1.0.0-lp156.2.1Exactly Computing the Tail of the Poisson-Binomial Distribut
R-shiftR1.5-lp156.2.1Fast Enrichment Analysis via Circular Permutations
R-ShiftShareSE1.1.0-lp156.1.1Inference in Regressions with Shift-Share Structure
R-shiny.blueprint0.3.0-lp156.2.1Palantir\'s \'Blueprint\' for \'Shiny\' Apps
R-shiny.emptystate0.1.0-lp156.4.1Empty State Components for \'Shiny\'
R-shiny.exe0.2.0-lp156.1.1Launch a Shiny Application without Opening R or RStudio
R-shiny.fluent0.4.0-lp156.2.1Microsoft Fluent UI for Shiny Apps
R-shiny.i18n0.3.0-lp156.4.1Shiny Applications Internationalization
R-shiny.info0.2.0-lp156.13.1\'shiny\' Info
R-shiny.pwa0.2.1-lp156.15.1Progressive Web App Support for Shiny
R-shiny.react0.4.0-lp156.2.1Tools for Using React in Shiny
R-shiny.reglog0.5.2-lp156.9.1Optional Login and Registration Module System for ShinyApps
R-shiny.router0.3.1-lp156.5.1Basic Routing for Shiny Web Applications
R-shiny.tailwind0.2.2-lp156.7.1\'TailwindCSS\' for Shiny Apps
R-shiny.worker0.0.1-lp156.11.1Delegate Jobs for Shiny Web Applications
R-shinyAce0.4.2-lp156.8.1Ace Editor Bindings for Shiny
R-shinyalert3.1.0-lp156.2.1Easily Create Pretty Popup Messages (Modals) in \'Shiny\'
R-shinyanimate0.4.0-lp156.3.1Animation for \'shiny\' Elements
R-shinybootstrap20.2.1-lp156.7.1Bootstrap 2 Web Components for Use with Shiny
R-shinybrowser1.0.0-lp156.8.1Find Out Information About a User\'s Web Browser in \'Shiny\
R-shinyBS0.61.1-lp156.9.1Twitter Bootstrap Components for Shiny
R-shinyChakraSlider0.1.0-lp156.15.1Combined Slider and Numeric Input for \'Shiny\'
R-shinyChakraUI1.1.1-lp156.10.1A Wrapper of the \'React\' Library \'Chakra UI\' for \'Shiny
R-shinyChatR1.2.0-lp156.2.1R Shiny Chat Module
R-shinycustomloader0.9.0-lp156.13.1Custom Loader for Shiny Outputs
R-shinydashboard0.7.2-lp156.10.1Create Dashboards with \'Shiny\'
R-shinyDatetimePickers1.2.0-lp156.2.1Some Datetime Pickers for \'Shiny\'
R-shinydisconnect0.1.1-lp156.4.1Show a Nice Message When a \'Shiny\' App Disconnects or Erro
R-shinyDND0.1.0-lp156.15.1Shiny Drag-n-Drop
R-shinyEffects0.2.0-lp156.12.1Customize Your Web Apps with Fancy Effects
R-shinyFeedback0.4.0-lp156.9.1Display User Feedback in Shiny Apps
R-shinyFiles0.9.3-lp156.7.1A Server-Side File System Viewer for Shiny
R-shinyfullscreen1.1.0-lp156.12.1Display \'HTML\' Elements on Full Screen in \'Shiny\' Apps
R-shinyglide0.1.4-lp156.5.1Glide Component for Shiny Applications
R-shinyhelper0.3.2-lp156.15.1Easily Add Markdown Help Files to \'shiny\' App Elements
R-shinyhttr1.1.0-lp156.22.1Progress Bars for Downloads in \'shiny\' Apps
R-shinyInvoice0.0.5-lp156.2.1Shiny App - Generate a Pdf Invoice with \'Rmarkdown\'
R-shinyjs2.1.0-lp156.7.1Easily Improve the User Experience of Your Shiny Apps in Sec
R-shinyKGode1.0.5-lp156.19.1An Interactive Application for ODE Parameter Inference Using
R-shinyKnobs0.1.3-lp156.15.1A Collection of Knob Inputs for \'shiny\'
R-shinylight1.2-lp156.2.1Web Interface to \'R\' Functions
R-shinylogs0.2.1-lp156.9.1Record Everything that Happens in a \'Shiny\' Application
R-shinyLP1.1.3-lp156.3.1Bootstrap Landing Home Pages for Shiny Applications
R-shinymaterial1.2.0-lp156.15.1Implement Material Design in Shiny Applications
R-shinyMatrix0.8.0-lp156.2.1Shiny Matrix Input Field
R-shinyMergely0.2.0-lp156.8.1Compare and Merge Two Files with a \'Shiny\' App
R-shinymeta0.2.0.3-lp156.11.1Export Domain Logic from Shiny using Meta-Programming
R-shinyMonacoEditor1.1.0-lp156.13.1The \'Monaco\' Editor in \'Shiny\'
R-shinyNotes0.0.2-lp156.5.1Shiny Module for Taking Free-Form Notes
R-shinypanel0.1.5-lp156.9.1Shiny Control Panel
R-shinypanels0.5.0-lp156.15.1Shiny Layout with Collapsible Panels
R-shinyPredict0.1.1-lp156.1.1Predictions using Shiny
R-shinyRadioMatrix0.2.1-lp156.8.1Create a Matrix with Radio Buttons
R-shinyRatings0.1.0-lp156.4.1An Intuitive Way of Providing Star Rating in a \'shiny\' App
R-shinyrecap0.1.0-lp156.9.1Shiny User Interface for Multiple Source Capture Recapture M
R-shinyreforms0.0.1-lp156.15.1Add Forms to your \'Shiny\' App
R-shinyscreenshot0.2.1-lp156.4.1Capture Screenshots of Entire Pages or Parts of Pages in \'S
R-shinySearchbar1.0.0-lp156.13.1Shiny Searchbar - An Input Widget for Highlighting Text and
R-shinySelect1.3.0-lp156.6.1A Wrapper of the \'react-select\' Library
R-shinyShortcut0.1.0-lp156.2.1Creates an Executable Shortcut for Shiny Applications
R-shinySIR0.1.2-lp156.23.1Interactive Plotting for Mathematical Models of Infectious D
R-shinysurveys0.2.0-lp156.11.1Create and Deploy Surveys in \'Shiny\'
R-shinythemes1.2.0-lp156.11.1Themes for Shiny
R-shinyTime1.0.3-lp156.8.1A Time Input Widget for Shiny
R-shinytitle0.1.0-lp156.10.1Update Browser Window Title in \'shiny\' Session
R-shinyToastify2.0.0-lp156.11.1Pretty Notifications for \'Shiny\'
R-shinytoastr2.2.0-lp156.3.1Notifications from \'Shiny\'
R-shinyvalidate0.1.3-lp156.4.1Input Validation for Shiny Apps
R-shinyWidgets0.8.6-lp156.2.1Custom Inputs Widgets for Shiny
R-shinyXYpad0.2.0-lp156.7.1XY Controller for \'Shiny\'
R-SHIP1.0.2-lp156.2.1SHrinkage covariance Incorporating Prior knowledge
R-shipunov1.17.1-lp156.1.1Miscellaneous Functions from Alexey Shipunov
R-shock1.0-lp156.6.1Slope Heuristic for Block-Diagonal Covariance Selection in H
R-shopifyadsR0.1.0-lp156.1.1Get \'Shopify\' Ads Data via the \'Windsor.ai\' API
R-shopifyr1.0.0-lp156.3.1An R Interface to the Shopify API
R-shoredate1.1.1-lp156.1.1Shoreline Dating Coastal Stone Age Sites
R-shortcuts1.4.0-lp156.2.1Useful Shortcuts to Interact with \'RStudio\' Scripts
R-ShortForm0.5.5-lp156.1.1Automatic Short Form Creation
R-shortIRT0.1.3-lp156.1.1Procedures Based on Item Response Theory Models for the Deve
R-shorts3.2.0-lp156.2.1Short Sprints
R-shotGroups0.8.2-lp156.1.1Analyze Shot Group Data
R-showimage1.0.0-lp156.2.1Show an Image on an \'R\' Graphics Device
R-shp2graph1.0-lp156.2.1Convert a \'SpatialLinesDataFrame\' -Class Object to an \'ig
R-shroomDK0.3.0-lp156.1.1Accessing the Flipside Crypto ShroomDK API
R-shuffle1.0.1-lp156.2.1The Shuffle Estimator for Explainable Variance
R-shuffleCI0.1.0-lp156.2.1Confidence Intervals Compared via Shuffling
R-shutterplot0.1.0-lp156.1.1The R Shutter Plot Package
R-shutterstock0.1.0-lp156.2.1Access \'Shutterstock\' REST API
R-SI0.2.0-lp156.2.1Stochastic Integrating
R-siar4.2-lp156.13.1Stable Isotope Analysis in R
R-SIBERG2.0.3-lp156.1.1Systematic Identification of Bimodally Expressed Genes Using
R-sicegar0.2.4-lp156.8.1Analysis of Single-Cell Viral Growth Curves
R-siconfir2.0.3-lp156.3.1Quick and Easy Access Tax and Accounting Data of Brazil
R-siconvr0.0.1-lp156.8.1Fetch Data from Plataforma +Brasil (SICONV)
R-sideChannelAttack1.0.6-lp156.6.1Side Channel Attack
R-SIDES1.18-lp156.1.1Subgroup Identification Based on Differential Effect Search
R-sidier4.1.0-lp156.15.1Substitution and Indel Distances to Infer Evolutionary Relat
R-sidrar0.2.9-lp156.7.1An Interface to IBGE\'s SIDRA API
R-siebanxicor1.0.0-lp156.2.1Query Data Series from Bank of Mexico
R-SiER0.1.0-lp156.2.1Signal Extraction Approach for Sparse Multivariate Response
R-sievetest1.2.3-lp156.2.1Laboratory Sieve Test Reporting Functions
R-SIfEK0.1.0-lp156.3.1Statistical Inference for Enzyme Kinetics
R-siftr1.1.0-lp156.1.1Fuzzily Search a Dataframe to Find Relevant Columns
R-sig0.0.6-lp156.1.1Print Function Signatures
R-sigclust1.1.0.1-lp156.1.1Statistical Significance of Clustering
R-sigInt0.2.0-lp156.8.1Estimate the Parameters of a Discrete Crisis-Bargaining Game
R-sigmoid1.4.0-lp156.1.1Sigmoid Functions for Machine Learning
R-signed.backbones0.91.5-lp156.5.1Extract the Signed Backbones of Weighted Networks
R-signibox1.0-lp156.1.1Statistical Significance Marks on Boxplots
R-signmedian.test1.5.1-lp156.2.1Perform Exact Sign Test and Asymptotic Sign Test in Large Sa
R-signs0.1.2-lp156.7.1Insert Proper Minus Signs
R-SigOptR0.0.1-lp156.2.1R API Wrapper for SigOpt
R-sigora3.1.1-lp156.1.1Signature Overrepresentation Analysis
R-sigr1.1.5-lp156.1.1Succinct and Correct Statistical Summaries for Reports
R-SII1.0.3.1-lp156.2.1Calculate ANSI S3.5-1997 Speech Intelligibility Index
R-siie0.4.0-lp156.1.1Superior Identification Index and Its Extensions
R-silicate0.7.1-lp156.2.1Common Forms for Complex Hierarchical and Relational Data St
R-sim.BA0.1.0-lp156.2.1Simulation-Based Bias Analysis for Observational Studies
R-Sim.DiffProc4.9-lp156.2.1Simulation of Diffusion Processes
R-Sim.PLFN1.0-lp156.2.1Simulation of Piecewise Linear Fuzzy Numbers
R-sim1000G1.40-lp156.14.1Genotype Simulations for Rare or Common Variants Using Haplo
R-sim2Dpredictr0.1.1-lp156.2.1Simulate Outcomes Using Spatially Dependent Design Matrices
R-simba0.3.5-lp156.2.1A Collection of functions for similarity analysis of vegetat
R-simboot0.2.8-lp156.1.1Simultaneous Inference for Diversity Indices
R-simcausal0.5.6-lp156.6.1Simulating Longitudinal Data with Causal Inference Applicati
R-SimComp3.3-lp156.3.1Simultaneous Comparisons for Multiple Endpoints
R-SimCop0.7.0-lp156.2.1Simulate from Arbitrary Copulae
R-SimCorMultRes1.9.0-lp156.1.1Simulates Correlated Multinomial Responses
R-simctest2.6-lp156.2.1Safe Implementation of Monte Carlo Tests
R-simdd1.1.2-lp156.1.1Simulation of Fisher Bingham and Related Directional Distrib
R-SimDissolution0.1.0-lp156.13.1Modeling and Assessing Similarity of Drug Dissolutions Profi
R-simdistr1.0.1-lp156.2.1Assessment of Data Trial Distributions According to the Carl
R-simecol0.8.14-lp156.2.1Simulation of Ecological (and Other) Dynamic Systems
R-simEd2.0.1-lp156.1.1Simulation Education
R-SimEngine1.4.0-lp156.2.1A Modular Framework for Statistical Simulations in R
R-SimEUCartelLaw1.0.3-lp156.1.1Simulation of Legal Exemption System for European Cartel Law
R-simex1.8-lp156.2.1SIMEX- and MCSIMEX-Algorithm for measurement error models
R-simexaft1.0.7.1-lp156.2.1simexaft
R-SIMEXBoost0.2.0-lp156.1.1Boosting Method for High-Dimensional Error-Prone Data
R-simfinapi1.0.0-lp156.1.1Accessing \'SimFin\' Data
R-simfinR0.2.3-lp156.4.1Import Financial Data from the \'SimFin\' Project
R-simfit0.1.0-lp156.7.1Test Model Fit with Simulation
R-simglm0.8.9-lp156.10.1Simulate Models Based on the Generalized Linear Model
R-simgof1.0.2-lp156.1.1Simultaneous Goodness-of-Fits Tests
R-SimHaz0.1-lp156.2.1Simulated Survival and Hazard Analysis for Time-Dependent Ex
R-simIDM0.1.0-lp156.1.1Simulating Oncology Trials using an Illness-Death Model
R-SimilarityMeasures1.4-lp156.2.1Trajectory Similarity Measures
R-Simile1.3.3-lp156.2.1Interact with Simile Models
R-simitation0.0.7-lp156.1.1Simplified Simulations
R-simITS0.1.1-lp156.13.1Analysis via Simulation of Interrupted Time Series (ITS) Dat
R-simmer.bricks0.2.2-lp156.2.1Helper Methods for \'simmer\' Trajectories
R-simMetric0.1.1-lp156.2.1Metrics (with Uncertainty) for Simulation Studies that Evalu
R-simml0.3.0-lp156.1.1Single-Index Models with Multiple-Links
R-simMSM1.1.42-lp156.1.1Simulation of Event Histories for Multi-State Models
R-simPH1.3.13-lp156.15.1Simulate and Plot Estimates from Cox Proportional Hazards Mo
R-SimPhe0.2.0-lp156.2.1Tools to Simulate Phenotype(s) with Epistatic Interaction
R-simphony1.0.3-lp156.1.1Simulating Large-Scale, Rhythmic Data
R-simplanonym0.1.0-lp156.1.1Consistent Anonymisation Across Datasets
R-simpleCache0.4.2-lp156.1.1Simply Caching R Objects
R-simplecolors0.1.2-lp156.2.1Access Color Names Using a Standardized Nomenclature
R-simpleFDR1.1-lp156.9.1Simple False Discovery Rate Calculation
R-simplegraph1.0.1-lp156.1.1Simple Graph Data Types and Basic Algorithms
R-simplegraphdb2021.03.10-lp156.7.1A Simple Graph Database
R-simpleMH0.1.1-lp156.1.1Simple Metropolis-Hastings MCMC Algorithm
R-simpleMLP1.0.0-lp156.9.1Simple Multilayer Perceptron Neural Network
R-simpleNeural0.1.3-lp156.2.1An Easy to Use Multilayer Perceptron
R-simpleRCache0.3.3-lp156.1.1Simple R Cache
R-simplermarkdown0.0.6-lp156.1.1Simple Engine for Generating Reports using R
R-simpleSetup0.1.0-lp156.2.1Set Up R Source Code Files for Use on Multiple Machines
R-SimplicialCubature1.3-lp156.1.1Integration of Functions Over Simplices
R-SimplifyStats2.0.4-lp156.14.1Simplifies Pairwise Statistical Analyses
R-simpr0.2.6-lp156.3.1Flexible \'Tidyverse\'-Friendly Simulations
R-Simpsons0.1.0-lp156.2.1Detecting Simpson\'s Paradox
R-simrec1.0.1-lp156.1.1Simulation of Recurrent Event Data for Non-Constant Baseline
R-SiMRiv1.0.6-lp156.2.1Simulating Multistate Movements in River/Heterogeneous Lands
R-sims0.0.3-lp156.6.1Simulate Data from R or \'JAGS\' Code
R-simsalapar1.0.12-lp156.1.1Tools for Simulation Studies in Parallel
R-SimSCRPiecewise0.1.1-lp156.2.1\'Simulates Univariate and Semi-Competing Risks Data Given C
R-simsem0.5.16-lp156.3.1SIMulated Structural Equation Modeling
R-SimSeq1.4.0-lp156.2.1Nonparametric Simulation of RNA-Seq Data
R-simsl0.2.1-lp156.1.1Single-Index Models with a Surface-Link
R-SimSST0.0.5.2-lp156.2.1Simulated Stop Signal Task Data
R-simstandard0.6.3-lp156.9.1Generate Standardized Data
R-simSummary0.1.0-lp156.2.1Simulation summary
R-simsurv1.0.0-lp156.1.1Simulate Survival Data
R-simTargetCov1.0.1-lp156.2.1Data Transformation or Simulation with Empirical Covariance
R-simtimer4.0.0-lp156.2.1Datetimes as Integers for Discrete-Event Simulations
R-simTool1.1.7-lp156.17.1Conduct Simulation Studies with a Minimal Amount of Source C
R-simtrait1.1.3-lp156.1.1Simulate Complex Traits from Genotypes
R-simuclustfactor0.0.3-lp156.1.1Simultaneous Clustering and Factorial Decomposition of Three
R-simukde1.3.0-lp156.4.1Simulation with Kernel Density Estimation
R-simulariatools2.5.1-lp156.2.1Simularia Tools for the Analysis of Air Pollution Data
R-simulator0.2.5-lp156.1.1An Engine for Running Simulations
R-simule1.3.0-lp156.7.1A Constrained L1 Minimization Approach for Estimating Multip
R-simulMGF0.1.1-lp156.1.1Simulate SNP Matrix, Phenotype and Genotypic Effects
R-SimVitD1.0.3-lp156.1.1Simulation Tools for Planning Vitamin D Studies
R-SIN0.6-lp156.2.1A SINful Approach to Selection of Gaussian Graphical Markov
R-sinaplot1.1.0-lp156.3.1An Enhanced Chart for Simple and Truthful Representation of
R-sinar0.1.0-lp156.2.1Conditional Least Squared (CLS) Method for the Model SINAR(1
R-sindyr0.2.4-lp156.2.1Sparse Identification of Nonlinear Dynamics
R-sinew0.4.0-lp156.5.1Package Development Documentation and Namespace Management
R-singcar0.1.5-lp156.1.1Comparing Single Cases to Small Samples
R-singleCellHaystack1.0.2-lp156.1.1A Universal Differential Expression Prediction Tool for Sing
R-sinib1.0.0-lp156.2.1Sum of Independent Non-Identical Binomial Random Variables
R-SinIW0.2-lp156.2.1The SinIW Distribution
R-SINRELEF.LD1.1.0-lp156.1.1Reliability and Relative Efficiency in Locally-Dependent Mea
R-SIPDIBGE0.2.1-lp156.3.1Collection of Household Survey Packages Conducted by IBGE
R-SIPETool0.1.0-lp156.1.1SIFT-MS and CPET Data Processor
R-sirad2.3.3-lp156.6.1Functions for Calculating Daily Solar Radiation and Evapotra
R-SIRthresholded1.0.2-lp156.1.1Sliced Inverse Regression with Thresholding
R-sisal0.48-lp156.2.1Sequential Input Selection Algorithm
R-sisireg1.1.1-lp156.2.1Sign-Simplicity-Regression-Solver
R-sistec0.2.0-lp156.19.1Tools to Analyze \'Sistec\' Datasets
R-sisti0.0.1-lp156.2.1Real-Time PCR Data Sets by Sisti et al. (2010)
R-sistmr0.1.1-lp156.8.1A Collection of Utility Function from the Inserm/Inria SISTM
R-sisVIVE1.4-lp156.2.1Some Invalid Some Valid Instrumental Variables Estimator
R-sitar1.4.0-lp156.2.1Super Imposition by Translation and Rotation Growth Curve An
R-sitepickR0.0.1-lp156.6.1Two-Level Sample Selection with Optimal Site Replacement
R-SitesInterest1.0-lp156.2.1Inferring an Animal\'s Sites of Interest from High Resolutio
R-sitools1.4-lp156.2.1Format a number to a string with SI prefix
R-sitree0.1.14-lp156.1.1Single Tree Simulator
R-sitreeE0.0.8-lp156.7.1Sitree Extensions
R-SiZer0.1.8-lp156.7.1Significant Zero Crossings
R-sjlabelled1.2.0-lp156.1.1Labelled Data Utility Functions
R-sjmisc2.8.10-lp156.2.1Data and Variable Transformation Functions
R-sjstats0.19.0-lp156.2.1Collection of Convenient Functions for Common Statistical Co
R-skda0.1-lp156.2.1Sparse (Multicategory) Kernel Discriminant Analysis
R-skeletor1.0.4-lp156.2.1An R Package Skeleton Generator
R-skellam0.2.3-lp156.2.1Densities and Sampling for the Skellam Distribution
R-SkewHyperbolic0.4.2-lp156.1.1The Skew Hyperbolic Student t-Distribution
R-skewMLRM1.6-lp156.1.1Estimation for Scale-Shape Mixtures of Skew-Normal Distribut
R-skewsamp1.0.0-lp156.1.1Estimate Sample Sizes for Group Comparisons with Skewed Dist
R-skewt1.0-lp156.1.1The Skewed Student-t Distribution
R-Skillings.Mack1.10-lp156.3.1The Skillings-Mack Test Statistic for Block Designs with Mis
R-skilljaR0.1.2-lp156.1.1Connect to Your \'Skilljar\' Data
R-skillsengineeR0.2.0-lp156.1.1A Light-Weight Wrapper for the \'SkillsEngine\' API
R-skylight1.2-lp156.1.1A Simple Sky Illuminance Model
R-slackr3.3.1-lp156.1.1Send Messages, Images, R Objects and Files to \'Slack\' Chan
R-slanter0.2.0-lp156.4.1Slanted Matrices and Ordered Clustering
R-slap2024.4.1-lp156.2.1Simplified Error Handling
R-SLC0.3-lp156.2.1Slope and level change
R-sld1.0.1-lp156.1.1Estimation and Use of the Quantile-Based Skew Logistic Distr
R-SLDAssay1.8-lp156.2.1Software for Analyzing Limiting Dilution Assays
R-sleekts1.0.2-lp156.2.14253H, Twice Smoothing
R-SleepCycles1.1.4-lp156.8.1Sleep Cycle Detection
R-sleepr0.3.0-lp156.2.1Analyse Activity and Sleep Behaviour
R-sleepwalk0.3.2-lp156.10.1Interactively Explore Dimension-Reduced Embeddings
R-slendr0.9.1-lp156.2.1A Simulation Framework for Spatiotemporal Population Genetic
R-Sleuth22.0.7-lp156.1.1Data Sets from Ramsey and Schafer\'s \"Statistical Sleuth (2
R-Sleuth31.0.6-lp156.1.1Data Sets from Ramsey and Schafer\'s \"Statistical Sleuth (3
R-slgf2.0.0-lp156.1.1Bayesian Model Selection with Suspected Latent Grouping Fact
R-SLHD2.1.1-lp156.2.1Maximin-Distance (Sliced) Latin Hypercube Designs
R-SlicedLHD1.0-lp156.2.1Sliced Latin Hypercube Designs
R-SLIDE1.0.0-lp156.2.1Single Cell Linkage by Distance Estimation is SLIDE
R-slider0.3.1-lp156.1.1Sliding Window Functions
R-SlidingWindows0.2.0-lp156.6.1Methods for Time Series Analysis
R-slim0.1.1-lp156.2.1Singular Linear Models for Longitudinal Data
R-slippymath0.3.1-lp156.7.1Slippy Map Tile Tools
R-slm1.2.0-lp156.2.1Stationary Linear Models
R-SLModels0.1.2-lp156.1.1Stepwise Linear Models for Binary Classification Problems un
R-sloop1.0.1-lp156.11.1Helpers for \'OOP\' in R
R-slouch2.1.5-lp156.1.1Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses
R-slp1.0.5-lp156.2.1Discrete Prolate Spheroidal (Slepian) Sequence Regression Sm
R-SLPresElection1.0.0-lp156.1.1Presidential Election Data of \"Sri Lanka\" from 1982 to 201
R-slurmR0.5.4-lp156.1.1A Lightweight Wrapper for \'Slurm\'
R-sm2.2.6.0-lp156.1.1Smoothing methods for nonparametric regression and density e
R-smallarea0.1-lp156.2.1Fits a Fay Herriot Model
R-SMARTAR1.1.0-lp156.2.1Sequential Multiple Assignment Randomized Trial and Adaptive
R-SMARTbayesR2.0.0-lp156.1.1Bayesian Set of Best Dynamic Treatment Regimes and Sample Si
R-SmarterPoland1.8.1-lp156.4.1Tools for Accessing Various Datasets Developed by the Founda
R-SmartMeterAnalytics1.0.3-lp156.3.1Methods for Smart Meter Data Analysis
R-smartsheetr0.1.0-lp156.2.1Access and Write \'Smartsheet\' Data using the \'Smartsheet\
R-SmartSifter0.1.0-lp156.2.1Online Unsupervised Outlier Detection Using Finite Mixtures
R-smartsizer1.0.3-lp156.1.1Power Analysis for a SMART Design
R-smatr3.4.8-lp156.2.1(Standardised) Major Axis Estimation and Testing Routines
R-smbinning0.9-lp156.9.1Scoring Modeling and Optimal Binning
R-SMC1.1-lp156.2.1Sequential Monte Carlo (SMC) Algorithm
R-SmCCNet2.0.3-lp156.2.1Sparse Multiple Canonical Correlation Network Analysis Tool
R-smcfcs1.8.0-lp156.1.1Multiple Imputation of Covariates by Substantive Model Compa
R-smco0.1-lp156.2.1A simple Monte Carlo optimizer using adaptive coordinate sam
R-SMCRM0.0.3-lp156.2.1Data Sets for Statistical Methods in Customer Relationship M
R-smcure2.1-lp156.1.1Fit Semiparametric Mixture Cure Models
R-smd0.7.0-lp156.2.1Compute Standardized Mean Differences
R-smdata1.2-lp156.2.1Data to Accompany Smithson & Merkle, 2013
R-smetlite0.2.10-lp156.2.1Read and Write SMET Files
R-SMFI51.0-lp156.9.1R functions and data from Chapter 5 of \'Statistical Methods
R-SMFilter1.0.3-lp156.2.1Filtering Algorithms for the State Space Models on the Stief
R-smfishHmrf0.1-lp156.4.1Hidden Markov Random Field for Spatial Transcriptomic Data
R-smfsb1.5-lp156.1.1Stochastic Modelling for Systems Biology
R-smidm1.0-lp156.4.1Statistical Modelling for Infectious Disease Management
R-smirnov1.0.1-lp156.2.1Provides two taxonomic coefficients from E. S. Smirnov \"Tax
R-smlePH0.1.0-lp156.2.1Sieve Maximum Full Likelihood Estimation for the Right-Censo
R-SMLoutliers0.1-lp156.2.1Outlier Detection Using Statistical and Machine Learning Met
R-SMM1.0.2-lp156.7.1Simulation and Estimation of Multi-State Discrete-Time Semi-
R-SMMT1.2.0-lp156.2.1The Swiss Municipal Data Merger Tool Maps Municipalities Ove
R-SMNCensReg3.1-lp156.1.1Fitting Univariate Censored Regression Model Under the Famil
R-smnet2.1.2-lp156.10.1Smoothing for Stream Network Data
R-smoke2.0.1-lp156.2.1Small Molecule Octet/BLI Kinetics Experiment
R-smoothedLasso1.6-lp156.1.1A Framework to Smooth L1 Penalized Regression Operators usin
R-smoother1.3-lp156.2.1Functions Relating to the Smoothing of Numerical Data
R-SmoothHazard2024.04.10-lp156.2.1Estimation of Smooth Hazard Models for Interval-Censored Dat
R-smoothHR1.0.5-lp156.1.1Smooth Hazard Ratio Curves Taking a Reference Value
R-smoothic1.2.0-lp156.5.1Variable Selection Using a Smooth Information Criterion
R-smoothie1.0.3-lp156.1.1Two-Dimensional Field Smoothing
R-smoothmest0.1.3-lp156.1.1Smoothed M-Estimators for 1-Dimensional Location
R-smoothr1.0.1-lp156.2.1Smooth and Tidy Spatial Features
R-smoothROCtime0.1.0-lp156.6.1Smooth Time-Dependent ROC Curve Estimation
R-smoothSurv2.6-lp156.1.1Survival Regression with Smoothed Error Distribution
R-smoothtail2.0.5-lp156.5.1Smooth Estimation of GPD Shape Parameter
R-SmoothTensor0.1.1-lp156.1.1A Collection of Smooth Tensor Estimation Methods
R-smoothy1.0.0-lp156.2.1Automatic Estimation of the Most Likely Drug Combination usi
R-smosr1.0.1-lp156.3.1Acquire and Explore BEC-SMOS L4 Soil Moisture Data in R
R-SMOTEWB0.1.5-lp156.1.1Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)
R-smovie1.1.6-lp156.1.1Some Movies to Illustrate Concepts in Statistics
R-SMPracticals1.4.3.1-lp156.1.1Practicals for Use with Davison (2003) Statistical Models
R-sms2.3.1-lp156.2.1Spatial Microsimulation
R-smss1.0.2-lp156.2.1Datasets for Agresti and Finlay\'s \"Statistical Methods for
R-SMVar1.3.4-lp156.1.1Structural Model for Variances
R-Snake1.0-lp156.2.1Game of Snake
R-snakecase0.11.1-lp156.2.1Convert strings into any case
R-SnakesAndLaddersAnalysis2.1.0-lp156.2.1Play and Analyse the Game of Snakes and Ladders
R-snapchatadsR0.1.0-lp156.1.1Get Snapchat Ads Data via the \'Windsor.ai\' API
R-snapKrig0.0.2-lp156.1.1Fast Kriging and Geostatistics on Grids with Kronecker Covar
R-snappier0.1.0-lp156.2.1Compress and Decompress \'Snappy\' Encoded Data
R-snapshot0.1.2-lp156.2.1Gadget N-body cosmological simulation code snapshot I/O util
R-SNBdata0.2.1-lp156.1.1Download Data from the Swiss National Bank (SNB)
R-snem0.1.1-lp156.2.1EM Algorithm for Multivariate Skew-Normal Distribution with
R-snfa0.0.1-lp156.21.1Smooth Non-Parametric Frontier Analysis
R-SNFtool2.3.1-lp156.1.1Similarity Network Fusion
R-snha0.1.3-lp156.1.1Creating Correlation Networks using St. Nicolas House Analys
R-snht1.0.5-lp156.14.1Standard Normal Homogeneity Test
R-snn1.1-lp156.2.1Stabilized Nearest Neighbor Classifier
R-snow0.4.4-lp156.1.1Simple Network of Workstations
R-SnowballC0.7.1-lp156.1.1Snowball Stemmers Based on the C \'libstemmer\' UTF-8 Librar
R-snowfall1.84.6.3-lp156.1.1Easier Cluster Computing (Based on \'snow\')
R-snowflakes1.0.0-lp156.2.1Random Snowflake Generator
R-snowFT1.6.1-lp156.1.1Fault Tolerant Simple Network of Workstations
R-snowquery0.0.1-lp156.1.1Query \'Snowflake\' Databases with \'SQL\'
R-snp.plotter0.5.1-lp156.2.1snp.plotter
R-snpAIMeR2.1.1-lp156.3.1Assess the Diagnostic Power of Genomic Marker Combinations
R-snpar1.0-lp156.2.1Supplementary Non-parametric Statistics Methods
R-sNPLS1.0.27-lp156.8.1NPLS Regression with L1 Penalization
R-SNPmaxsel1.0.3-lp156.2.1Maximally selected statistics for SNP data
R-SNPMClust1.3-lp156.2.1Bivariate Gaussian Genotype Clustering and Calling for Illum
R-sns1.2.2-lp156.1.1Stochastic Newton Sampler (SNS)
R-SNSchart1.4.0-lp156.1.1Sequential Normal Scores in Statistical Process Management
R-SNSFdatasets0.1.1-lp156.1.1Download Datasets from the Swiss National Science Foundation
R-snvecR3.9.4-lp156.2.1Calculate Earth’s Obliquity and Precession in the Past
R-SNVLFDR1.0.1-lp156.1.1Empirical Bayes Single Nucleotide Variant Calling
R-SOAR0.99.11-lp156.2.1Memory management in R by delayed assignments
R-SOAs1.4-lp156.2.1Creation of Stratum Orthogonal Arrays
R-socialh0.1.1-lp156.3.1Rank and Social Hierarchy for Gregarious Animals
R-socialmixr0.3.2-lp156.2.1Social Mixing Matrices for Infectious Disease Modelling
R-SocialPosition1.0.1-lp156.2.1Social Position Indicators Construction Toolbox
R-socialranking1.2.0-lp156.2.1Social Ranking Solutions for Power Relations on Coalitions
R-socialrisk0.5.1-lp156.2.1Identifying Patient Social Risk from Administrative Health C
R-socviz1.2-lp156.12.1Utility Functions and Data Sets for Data Visualization
R-SoDA1.0.6.1-lp156.2.1Functions and Examples for \"Software for Data Analysis\"
R-sodavis1.2-lp156.2.1SODA: Main and Interaction Effects Selection for Logistic Re
R-sofa0.4.0-lp156.3.1Connector to \'CouchDB\'
R-Sofi0.16.4.8-lp156.13.1Interfaz interactiva con fines didacticos
R-SOFIA1.0-lp156.2.1Making Sophisticated and Aesthetical Figures in R
R-softclassval1.0.20160527-lp156.2.1Soft Classification Performance Measures
R-SoftClustering2.1.3-lp156.1.1Soft Clustering Algorithms
R-softImpute1.4.1-lp156.1.1Matrix Completion via Iterative Soft-Thresholded SVD
R-SoftRandomForest0.1.0-lp156.2.1Classification Random Forests for Soft Decision Trees
R-SOHPIE1.0.6-lp156.1.1Statistical Approach via Pseudo-Value Information and Estima
R-soilchemistry0.1.0-lp156.1.1Computation of Properties Related to Soil Chemical Environme
R-SoilConservation1.0.0-lp156.2.1Soil and Water Conservation
R-SoilFDA0.1.0-lp156.2.1Fractal Dimension Analysis of Soil Particle Size Distributio
R-soilfoodwebs1.0.2-lp156.1.1Soil Food Web Analysis
R-SoilFunctionality0.1.0-lp156.2.1Soil Functionality Measurement
R-SoilHyP0.1.7-lp156.1.1Soil Hydraulic Properties
R-SoilR1.2.107-lp156.2.1Models of Soil Organic Matter Decomposition
R-SoilSaltIndex0.1.0-lp156.1.1Soil Salinity Indices Generation using Satellite Data
R-SoilTaxonomy0.2.4-lp156.2.1A System of Soil Classification for Making and Interpreting
R-SoilTesting0.1.0-lp156.1.1Organic Carbon and Plant Available Nutrient Contents in Soil
R-soiltexture1.5.3-lp156.1.1Functions for Soil Texture Plot, Classification and Transfor
R-soilwater1.0.5-lp156.2.1Implementation of Parametric Formulas for Soil Water Retenti
R-Sojourn1.1.0-lp156.5.1Apply Sojourn Methods for Processing ActiGraph Accelerometer
R-Sojourn.Data0.3.0-lp156.1.1Supporting Objects for Sojourn Accelerometer Methods
R-sokoban0.1.0-lp156.2.1sokoban game
R-solarPos1.0-lp156.2.1Solar Position Algorithm for Solar Radiation Applications
R-solartime0.0.2-lp156.5.1Utilities Dealing with Solar Time Such as Sun Position and T
R-SOLOMON1.0.1-lp156.2.1Parentage analysis
R-solrad1.0.0-lp156.2.1Calculating Solar Radiation and Related Variables Based on L
R-solrium1.2.0-lp156.8.1General Purpose R Interface to \'Solr\'
R-SolveRationalMatrixEquation0.1.0-lp156.2.1Solve Rational Matrix Equation
R-SolveSAPHE2.1.0-lp156.1.1Solver Suite for Alkalinity-PH Equations
R-som.nn1.4.4-lp156.2.1Topological k-NN Classifier Based on Self-Organising Maps
R-soma1.2.0-lp156.1.1General-Purpose Optimisation with the Self-Organising Migrat
R-SomaDataIO6.1.0-lp156.2.1Input/Output \'SomaScan\' Data
R-somebm0.1-lp156.2.1some Brownian motions simulation functions
R-someKfwer1.2-lp156.2.1Controlling the Generalized Familywise Error Rate
R-someMTP1.4.1.1-lp156.1.1Some Multiple Testing Procedures
R-somplot1.6.4-lp156.2.1Visualisation of hexagonal Kohonen maps
R-somspace1.2.4-lp156.2.1Spatial Analysis with Self-Organizing Maps
R-sonar1.0.2-lp156.2.1Fundamental Formulas for Sonar
R-SongEvo1.0.0-lp156.4.1An Individual-Based Model of Bird Song Evolution
R-sonicLength1.4.7-lp156.1.1Estimating Abundance of Clones from DNA Fragmentation Data
R-sonicscrewdriver0.0.7-lp156.2.1Bioacoustic Analysis and Publication Tools
R-sonify0.0.1-lp156.2.1Data Sonification - Turning Data into Sound
R-soobench1.9.18-lp156.2.1Single Objective Optimization Benchmark Functions
R-SOP1.0.1-lp156.1.1Generalised Additive P-Spline Regression Models Estimation
R-SOPC0.1.0-lp156.1.1The Sparse Online Principal Component Estimation Algorithm
R-SOPIE1.6-lp156.1.1Non-Parametric Estimation of the Off-Pulse Interval of a Pul
R-soql0.1.1-lp156.2.1Helps Make Socrata Open Data API Calls
R-SOR0.23.1-lp156.2.1Estimation using Sequential Offsetted Regression
R-SorptionAnalysis0.1.0-lp156.2.1Static Adsorption Experiment Plotting and Analysis
R-SortableHTMLTables0.1.3-lp156.7.1Turns a data frame into an HTML file containing a sortable t
R-sotu1.0.4-lp156.1.1United States Presidential State of the Union Addresses
R-sound1.4.6-lp156.1.1A Sound Interface for R
R-soundClass0.0.9.2-lp156.11.1Sound Classification Using Convolutional Neural Networks
R-soundcorrs0.4.0-lp156.2.1Semi-Automatic Analysis of Sound Correspondences
R-soundecology1.3.3-lp156.12.1Soundscape Ecology
R-SoundexBR1.2-lp156.2.1Phonetic-Coding for Portuguese
R-SOUP1.1-lp156.2.1Stochastic Ordering Using Permutations (and Pairwise Compari
R-source.gist1.0.0-lp156.2.1Read R code from a GitHub Gist
R-sourcetools0.1.7.1-lp156.1.1Tools for Reading, Tokenizing and Parsing R Code
R-sourcetools-devel0.1.7.1-lp156.1.1Development files for sourcetools
R-sovereign1.2.1-lp156.8.1State-Dependent Empirical Analysis
R-SoyURT1.0.0-lp156.1.1USDA Northern Region Uniform Soybean Tests Dataset
R-sp2.1.4-lp156.2.1classes and methods for spatial data
R-sp23design0.9.1-lp156.1.1Design and Simulation of Seamless Phase II-III Clinical Tria
R-spaa0.2.2-lp156.2.1SPecies Association Analysis
R-space0.1.1.1-lp156.2.1Sparse PArtial Correlation Estimation
R-spacesRGB1.5.0-lp156.1.1Standard and User-Defined RGB Color Spaces, with Conversion
R-spacesXYZ1.3.0-lp156.1.1CIE XYZ and some of Its Derived Color Spaces
R-spacyr1.3.0-lp156.1.1Wrapper to the \'spaCy\' \'NLP\' Library
R-SPADAR1.0-lp156.1.1Spherical Projections of Astronomical Data
R-spAddins0.2.0-lp156.8.1A Set of RStudio Addins
R-SpadeR0.1.1-lp156.2.1Species-Richness Prediction and Diversity Estimation with R
R-SpaDES2.0.11-lp156.3.1Develop and Run Spatially Explicit Discrete Event Simulation
R-SpaDES.addins0.1.4-lp156.3.1Development Tools for \'SpaDES\' and \'SpaDES\' Modules
R-SpaDES.core2.1.0-lp156.2.1Core Utilities for Developing and Running Spatially Explicit
R-spaero0.6.0-lp156.2.1Software for Project AERO
R-spam642.10.0-lp156.1.164-Bit Extension of the SPArse Matrix R Package \'spam\'
R-spanel0.1-lp156.2.1Spatial Panel Data Models
R-spanish0.4.2-lp156.3.1Translate Quantities from Strings to Integer and Back. Misc
R-SPAr0.1-lp156.2.1Perform rare variants association analysis based on summatio
R-sparcl1.0.4-lp156.2.1Perform Sparse Hierarchical Clustering and Sparse K-Means Cl
R-spark.sas7bdat1.4-lp156.16.1Read in \'SAS\' Data (\'.sas7bdat\' Files) into \'Apache Spa
R-sparkavro0.3.0-lp156.20.1Load Avro file into \'Apache Spark\'
R-sparkbq0.1.1-lp156.19.1Google \'BigQuery\' Support for \'sparklyr\'
R-sparklyr1.8.6-lp156.2.1R Interface to Apache Spark
R-sparklyr.flint0.2.2-lp156.14.1Sparklyr Extension for \'Flint\'
R-SparkR3.1.2-lp156.1.1R Front End for \'Apache Spark\'
R-sparktex0.1-lp156.2.1Generate LaTeX sparklines in R
R-sparktf0.1.0-lp156.19.1Interface for \'TensorFlow\' \'TFRecord\' Files with \'Apach
R-sparkxgb0.2.0-lp156.2.1Interface for \'XGBoost\' on \'Apache Spark\'
R-SPARQL1.16-lp156.3.1SPARQL client
R-sparrpowR0.2.8-lp156.1.1Power Analysis to Detect Spatial Relative Risk Clusters
R-sparseBC1.2-lp156.11.1Sparse Biclustering of Transposable Data
R-sparsebnUtils0.0.8-lp156.1.1Utilities for Learning Sparse Bayesian Networks
R-SparseDC0.1.17-lp156.2.1Implementation of SparseDC Algorithm
R-sparsediscrim0.3.0-lp156.3.1Sparse and Regularized Discriminant Analysis
R-sparseEigen0.1.0-lp156.2.1Computation of Sparse Eigenvectors of a Matrix
R-SparseFunClust1.0.0-lp156.1.1Sparse Functional Clustering
R-sparseGAM1.0-lp156.1.1Sparse Generalized Additive Models
R-SparseGrid0.8.2-lp156.2.1Sparse grid integration in R
R-sparseIndexTracking0.1.1-lp156.2.1Design of Portfolio of Stocks to Track an Index
R-sparseLDA0.1.9-lp156.2.1Sparse Discriminant Analysis
R-sparseMatEst1.0.0-lp156.2.1Sparse Matrix Estimation and Inference
R-SparseMDC0.99.5-lp156.2.1Implementation of SparseMDC Algorithm
R-SparseMSE2.0.1-lp156.2.1\'Multiple Systems Estimation for Sparse Capture Data\'
R-sparseMVN0.2.2-lp156.1.1Multivariate Normal Functions for Sparse Covariance and Prec
R-sparsenet1.6-lp156.1.1Fit Sparse Linear Regression Models via Nonconvex Optimizati
R-sparsepca0.1.2-lp156.2.1Sparse Principal Component Analysis (SPCA)
R-sparsepp1.22-lp156.2.1\'Rcpp\' Interface to \'sparsepp\'
R-sparseSEM4.0-lp156.1.1Elastic Net Penalized Maximum Likelihood for Structural Equa
R-sparsestep1.0.1-lp156.1.1SparseStep Regression
R-sparsesvd0.2.2-lp156.1.1Sparse Truncated Singular Value Decomposition (from \'SVDLIB
R-sparsevctrs0.1.0-lp156.2.1Sparse Vectors for Use in Data Frames
R-SparseVFC0.1.2-lp156.1.1Sparse Vector Field Consensus for Vector Field Learning
R-spate1.7.5-lp156.1.1Spatio-Temporal Modeling of Large Data Using a Spectral SPDE
R-SPAtest3.1.2-lp156.2.1Score Test and Meta-Analysis Based on Saddlepoint Approximat
R-spatial7.3.17-lp156.1.1Functions for Kriging and Point Pattern Analysis
R-SpatialAcc0.1.5-lp156.2.1Spatial Accessibility Measures
R-SpatialBall0.1.0-lp156.12.1Spatial NBA Visualization and Analysis
R-spatialClust1.1.1-lp156.6.1Spatial Clustering using Fuzzy Geographically Weighted Clust
R-spatialCovariance0.6.9-lp156.2.1Computation of spatial covariance matrices for data on recta
R-spatialEco2.0.2-lp156.1.1Spatial Analysis and Modelling Utilities
R-SpatialExtremes2.1.0-lp156.8.1Modelling Spatial Extremes
R-spatialfil0.15-lp156.1.1Application of 2D Convolution Kernel Filters to Matrices or
R-SpatialFloor1.1.0-lp156.5.1Spatial Floor Simulation (Isotropic)
R-spatialnbda1.0-lp156.2.1Performs spatial NBDA in a Bayesian context
R-SpatialNP1.1.5-lp156.1.1Multivariate Nonparametric Methods Based on Spatial Signs an
R-SpatialPosition2.1.2-lp156.2.1Spatial Position Models
R-spatialprobit1.0.4-lp156.1.1Spatial Probit Models
R-SpatialRoMLE0.1.0-lp156.2.1Robust Maximum Likelihood Estimation for Spatial Error Model
R-spatialsegregation2.45-lp156.2.1Segregation Measures for Multitype Spatial Point Patterns
R-spatialTIME1.3.4.5-lp156.1.1Spatial Analysis of Vectra Immunoflourescent Data
R-SpatialVS1.1-lp156.11.1Spatial Variable Selection
R-SpATS1.0.18-lp156.4.1Spatial Analysis of Field Trials with Splines
R-spatstat.core2.4.4-lp156.1.1Core Functionality of the \'spatstat\' Family
R-spatsurv2.0.1-lp156.1.1Bayesian Spatial Survival Analysis with Parametric Proportio
R-spbabel0.6.0-lp156.1.1Convert Spatial Data Using Tidy Tables
R-spBayes0.4.7-lp156.1.1Univariate and Multivariate Spatial-Temporal Modeling
R-spc4sts0.6.3-lp156.2.1Statistical Process Control for Stochastic Textured Surfaces
R-spcadjust1.1-lp156.2.1Functions for Calibrating Control Charts
R-SPCALDA1.0-lp156.2.1A New Reduced-Rank Linear Discriminant Analysis Method
R-SPCAvRP0.4-lp156.2.1Sparse Principal Component Analysis via Random Projections (
R-SPCompute1.0.3-lp156.1.1Compute Power or Sample Size for GWAS with Covariate Effect
R-spcov1.3-lp156.1.1Sparse Estimation of a Covariance Matrix
R-spcr2.1.1-lp156.1.1Sparse Principal Component Regression
R-spd2.0.1-lp156.2.1Semi Parametric Distribution
R-spdl0.0.5-lp156.1.1Easier Use of \'RcppSpdlog\' Functions via Wrapper
R-spdownscale0.1.0-lp156.2.1Spatial Downscaling Using Bias Correction Approach
R-spdplyr0.4.0-lp156.13.1Data Manipulation Verbs for the Spatial Classes
R-spdynmod1.1.6-lp156.3.1Spatio-Dynamic Wetland Plant Communities Model
R-spe1.1.2-lp156.2.1Stochastic Proximity Embedding
R-spec0.1.9-lp156.1.1A Data Specification Format and Interface
R-speccalt0.1.1-lp156.2.1Alternative spectral clustering, with automatic estimation o
R-SpecDetec1.0.0-lp156.2.1Change Points Detection with Spectral Clustering
R-SpecHelpers0.2.7-lp156.2.1Spectroscopy Related Utilities
R-SPECIES1.1.4-lp156.1.1Statistical Package for Species Richness Estimation
R-specieschrom1.0.0-lp156.4.1The Species Chromatogram
R-spectral2.0-lp156.1.1Common Methods of Spectral Data Analysis
R-spectralGP1.3.3-lp156.2.1Approximate Gaussian processes using the Fourier basis
R-SpectralMap1.0-lp156.11.1Diffusion Map and Spectral Map
R-spectrolab0.0.18-lp156.3.1Class and Methods for Spectral Data
R-sped0.3-lp156.1.1Multi-Gene Descent Probabilities
R-spedecon0.1-lp156.1.1Smoothness-Penalized Deconvolution for Density Estimation Un
R-SPEDInstabR2.2-lp156.1.1Estimation of the Relative Importance of Factors Affecting S
R-speedglm0.3.5-lp156.1.1Fitting Linear and Generalized Linear Models to Large Data S
R-speedycode0.3.0-lp156.8.1Automate Code for Adding Labels, Recoding and Renaming Varia
R-spef1.0.9-lp156.14.1Semiparametric Estimating Functions
R-speff2trial1.0.5-lp156.1.1Semiparametric Efficient Estimation for a Two-Sample Treatme
R-SPEI1.8.1-lp156.2.1Calculation of the Standardized Precipitation-Evapotranspira
R-spellcheckr0.1.2-lp156.15.1Correct the Spelling of a Given Word in the English Language
R-sperich1.5.9-lp156.2.1Auxiliary Functions to Estimate Centers of Biodiversity
R-sperrorest3.0.5-lp156.5.1Perform Spatial Error Estimation and Variable Importance Ass
R-SpeTestNP1.1.0-lp156.1.1Non-Parametric Tests of Parametric Specifications
R-SPEV1.0.0-lp156.1.1Unsmoothed and Smoothed Penalized PCA using Nesterov Smoothi
R-spfda0.9.1-lp156.1.1Function-on-Scalar Regression with Group-Bridge Penalty
R-spfilteR1.1.5-lp156.1.1Semiparametric Spatial Filtering with Eigenvectors in (Gener
R-spftir0.1.0-lp156.2.1Pre-Processing and Analysis of Mid-Infrared Spectral Region
R-spgrass60.8.9-lp156.3.1Interface Between GRASS 6+ Geographical Information System a
R-spgs1.0.4-lp156.1.1Statistical Patterns in Genomic Sequences
R-spgwr0.6.37-lp156.1.1Geographically Weighted Regression
R-SphereOptimize0.1.1-lp156.2.1Optimization on a Unit Sphere
R-spheresmooth0.1.0-lp156.2.1Piecewise Geodesic Smoothing for Spherical Data
R-SphericalK1.2-lp156.2.1Spherical K-Function
R-spi1.1-lp156.2.1Compute SPI index
R-SPIAssay1.1.0-lp156.2.1A Genetic-Based Assay for the Identification of Cell Lines
R-SpiceFP0.1.2-lp156.2.1Sparse Method to Identify Joint Effects of Functional Predic
R-spider1.5.0-lp156.13.1Species Identity and Evolution in R
R-spiders1.2-lp156.2.1Fits Predator Preferences Model
R-spidR1.0.2-lp156.11.1Spider Knowledge Online
R-SPIGA1.0.0-lp156.6.1Compute SPI Index using the Methods Genetic Algorithm and Ma
R-spikes1.1-lp156.2.1Detecting Election Fraud from Irregularities in Vote-Share D
R-spikeslab1.1.6-lp156.1.1Prediction and Variable Selection Using Spike and Slab Regre
R-Spillover0.1.1-lp156.2.1Spillover/Connectedness Index Based on VAR Modelling
R-SPIn1.1-lp156.2.1Simulation-efficient Shortest Probability Intervals
R-SPINA4.1.0-lp156.2.1Structure Parameter Inference Approach
R-spINAR0.2.0-lp156.2.1(Semi)Parametric Estimation and Bootstrapping of INAR Models
R-spinner1.1.0-lp156.4.1An Implementation of Graph Net Architecture Based on \'torch
R-spinyReg0.1.0-lp156.2.1Sparse Generative Model and Its EM Algorithm
R-spiralize1.0.6-lp156.4.1Visualize Data on Spirals
R-spiritR0.1.1-lp156.4.1Template for Clinical Trial Protocol
R-splancs2.01.45-lp156.2.1Spatial and Space-Time Point Pattern Analysis
R-splash1.0.2-lp156.1.1Simple Process-Led Algorithms for Simulating Habitats
R-SPLICE1.1.2-lp156.1.1Synthetic Paid Loss and Incurred Cost Experience (SPLICE) Si
R-splinetree0.2.0-lp156.23.1Longitudinal Regression Trees and Forests
R-Splinets1.5.0-lp156.1.1Functional Data Analysis using Splines and Orthogonal Spline
R-splitFeas0.1.0-lp156.2.1Multi-Set Split Feasibility
R-splitfngr0.1.2-lp156.3.1Combined Evaluation and Split Access of Functions
R-SplitSoftening2.1.0-lp156.1.1Softening Splits in Decision Trees
R-SplitSplitPlot0.0.1-lp156.2.1Analysis of Split-Split-Plot Experiments (Analise De Experim
R-splitstackshape1.4.8-lp156.2.1Stack and Reshape Datasets After Splitting Concatenated Valu
R-splitTools1.0.1-lp156.1.1Tools for Data Splitting
R-splm1.6.5-lp156.1.1Econometric Models for Spatial Panel Data
R-splot0.5.4-lp156.1.1Simplified Plotting for Data Exploration
R-spls2.2.3-lp156.2.1Sparse Partial Least Squares (SPLS) Regression and Classific
R-splus2R1.3.5-lp156.1.1Supplemental S-PLUS Functionality in R
R-splutil2022.6.20-lp156.6.1Utility Functions for Common Base-R Problems Relating to Lis
R-spm12r2.8.3-lp156.2.1Wrapper Functions for \'SPM\' (Statistical Parametric Mappin
R-spMC0.3.15-lp156.1.1Continuous-Lag Spatial Markov Chains
R-SPmlficmcm1.4-lp156.2.1Semiparametric Maximum Likelihood Method for Interactions Ge
R-spnet0.9.1.0-lp156.2.1Plotting (Social) Networks on Maps
R-spNNGP1.0.0-lp156.1.1Spatial Regression Models for Large Datasets using Nearest N
R-spocc1.2.3-lp156.2.1Interface to Species Occurrence Data Sources
R-SPODT0.9.1-lp156.3.1Spatial Oblique Decision Tree
R-spoiler1.0.0-lp156.12.1Blur \'HTML\' Elements in \'Shiny\' Applications Using \'Spo
R-spongebob0.4.0-lp156.2.1SpongeBob-Case Converter : spOngEboB-CASe CoNVertER
R-spongecake0.1.2-lp156.14.1Transform a Movie into a Synthetic Picture
R-sporm1.1.1-lp156.1.1Semiparametric Proportional Odds Rate Model
R-SportsAnalytics0.2-lp156.2.1Infrastructure for Sports Analytics
R-SportsTour0.1.0-lp156.1.1Display Tournament Fixtures using Knock Out and Round Robin
R-sportyR2.2.2-lp156.1.1Plot Scaled \'ggplot\' Representations of Sports Playing Sur
R-spotidy0.1.0-lp156.12.1Providing Convenience Functions to Connect R with the Spotif
R-spotifyr2.2.4-lp156.6.1R Wrapper for the \'Spotify\' Web API
R-SpotSampling0.1.0-lp156.4.1SPatial and Optimally Temporal (SPOT) Sampling
R-SPOUSE0.1.0-lp156.1.1Scatter Plots Over-Viewed Using Summary Ellipses
R-SPPcomb0.1-lp156.2.1Combining Different Spatial Datasets in Cancer Risk Estimati
R-spqdep0.1.2-lp156.7.1Testing for Spatial Independence of Qualitative Data in Cros
R-SPREDA1.1-lp156.2.1Statistical Package for Reliability Data Analysis
R-springpheno0.5.0-lp156.1.1Spring Phenological Indices
R-sprm1.2.2-lp156.9.1Sparse and Non-Sparse Partial Robust M Regression and Classi
R-sprsmdl0.1.0-lp156.2.1Sparse modeling toolkit
R-SPRT1.0-lp156.2.1Wald\'s Sequential Probability Ratio Test
R-sps0.5.4-lp156.1.1Sequential Poisson Sampling
R-spsComps0.3.3.0-lp156.4.1\'systemPipeShiny\' UI and Server Components
R-spselect0.0.1-lp156.2.1Selecting Spatial Scale of Covariates in Regression Models
R-spsh1.1.0-lp156.7.1Estimation and Prediction of Parameters of Various Soil Hydr
R-spsi0.1-lp156.1.1Shape-Preserving Uni-Variate and Bi-Variate Spline Interpola
R-SPSL0.1.9-lp156.2.1Site Percolation on Square Lattices (SPSL)
R-spsur1.0.2.5-lp156.4.1Spatial Seemingly Unrelated Regression Models
R-spsUtil0.2.2-lp156.5.1\'systemPipeShiny\' Utility Functions
R-spt2.5.1-lp156.2.1Sierpinski Pedal Triangle
R-spTDyn2.0.2-lp156.2.1Spatially Varying and Spatio-Temporal Dynamic Linear Models
R-spTimer3.3.2-lp156.2.1Spatio-Temporal Bayesian Modelling
R-sptm2019.11.25-lp156.5.1SemiParametric Transformation Model Methods
R-sptotal1.0.1-lp156.2.1Predicting Totals and Weighted Sums from Spatial Data
R-spup1.3.2-lp156.6.1Spatial Uncertainty Propagation Analysis
R-spuRs2.0.2-lp156.2.1Functions and Datasets for \"Introduction to Scientific Prog
R-SPYvsSPY0.1.1-lp156.2.1Spy vs. Spy Data
R-SQB0.4-lp156.16.1Sequential Bagging on Regression
R-SQL0.1.1-lp156.1.1Executes \'SQL\' Statements
R-sqlcaser0.2.0-lp156.1.1\'SQL\' Case Statement Generator
R-sqldf0.4.11-lp156.9.1Manipulate R Data Frames Using SQL
R-sqlHelpers0.1.2-lp156.3.1Collection of \'SQL\' Utilities for \'T-SQL\' and \'Postgres
R-sqliter0.1.0-lp156.11.1Connection wrapper to SQLite databases
R-sqliteutils0.1.0-lp156.9.1Utility Functions for \'SQLite\'
R-sqlparseR0.1.0-lp156.7.1Wrapper for \'Python\' Module \'sqlparse\': Parse, Split, an
R-sqlscore0.1.4-lp156.16.1Utilities for Generating SQL Queries from Model Objects
R-sqlstrings1.0.0-lp156.6.1Map \'SQL\' Code to R Lists
R-SQN1.0.6-lp156.1.1Subset Quantile Normalization
R-SQRL1.0.2-lp156.1.1Enhances Interaction with \'ODBC\' Databases
R-SQUAREM2021.1-lp156.1.1Squared Extrapolation Methods for Accelerating EM-Like Monot
R-squash1.0.9-lp156.2.1Color-Based Plots for Multivariate Visualization
R-sr0.1.0-lp156.8.1Smooth Regression - The Gamma Test and Tools
R-sra0.1.4.1-lp156.1.1Selection Response Analysis
R-srcr1.1.1-lp156.2.1Simplify Connections to Database Sources
R-SRCS1.1-lp156.2.1Statistical Ranking Color Scheme for Multiple Pairwise Compa
R-sRDA1.0.0-lp156.2.1Sparse Redundancy Analysis
R-sRdpData0.1.0-lp156.5.1Strategies of Resistance Data Project
R-srlTS0.1.1-lp156.2.1Sparsity-Ranked Lasso for Time Series
R-sROC0.1.2-lp156.2.1Nonparametric Smooth ROC Curves for Continuous Data
R-srp1.2.0-lp156.17.1Smooth-Rough Partitioning of the Regression Coefficients
R-srt1.0.4-lp156.2.1Read Subtitle Files as Tabular Data
R-SRTtools1.2.0-lp156.2.1Adjust Srt File to Get Better Experience when Watching Movie
R-ssanv1.1-lp156.2.1Sample Size Adjusted for Nonadherence or Variability of inpu
R-ssc2.1.0-lp156.2.1Semi-Supervised Classification Methods
R-sscor0.2-lp156.2.1Robust Correlation Estimation and Testing Based on Spatial S
R-ssd0.3-lp156.2.1Sample Size Determination (SSD) for Unordered Categorical Da
R-ssddata1.0.0-lp156.7.1Species Sensitivity Distribution Data
R-sSDR1.2.0-lp156.2.1Tools Developed for Structured Sufficient Dimension Reductio
R-sse0.7.17-lp156.1.1Sample Size Estimation
R-SSEparser0.1.0-lp156.2.1Parse Server-Sent Events
R-ssfit1.2-lp156.4.1Fitting of Parametric Models using Summary Statistics
R-SSGL1.0-lp156.1.1Spike-and-Slab Group Lasso for Group-Regularized Generalized
R-ssgraph1.15-lp156.4.1Bayesian Graph Structure Learning using Spike-and-Slab Prior
R-ssh.utils1.0-lp156.4.1Local and remote system commands with output and error captu
R-sship0.9.0-lp156.2.1Tool for Secure Shipment of Content
R-ssimparser0.1.1-lp156.9.1Standard Schedules Information Parser
R-ssize.fdr1.3-lp156.1.1Sample Size Calculations for Microarray Experiments
R-SSLASSO1.2.2-lp156.2.1The Spike-and-Slab LASSO
R-SSM1.0.1-lp156.2.1Fit and Analyze Smooth Supersaturated Models
R-SSN1.1.17-lp156.4.1Spatial Modeling on Stream Networks
R-SSP1.0.1-lp156.14.1Simulated Sampling Procedure for Community Ecology
R-sspline0.1.6-lp156.2.1Smoothing Splines on the Sphere
R-SSRA0.1.0-lp156.7.1Sakai Sequential Relation Analysis
R-SSrat1.1-lp156.12.1Two-Dimensional Sociometric Status Determination with Rating
R-ssrm.logmer0.1-lp156.3.1Sample Size Determination for Longitudinal Designs with Bina
R-SSRMST0.1.1-lp156.2.1Sample Size Calculation using Restricted Mean Survival Time
R-ssrn0.1.0-lp156.16.1Scan Statistics for Railway Network
R-SSRTcalc0.3.3-lp156.1.1Easy SSRT Calculation
R-sss0.2.2-lp156.1.1Import Files in the Triple-s (Standard Survey Structure) For
R-sssc1.0.0-lp156.15.1Same Species Sample Contamination Detection
R-SSsimple0.6.6-lp156.2.1State Space Models
R-Sstack1.0.1-lp156.13.1Bootstrap Stacking of Random Forest Models for Heterogeneous
R-sstModel1.0.0-lp156.11.1Swiss Solvency Test (SST) Standard Models
R-ssvd1.0-lp156.2.1Sparse SVD
R-ssym1.5.8-lp156.1.1Fitting Semi-Parametric log-Symmetric Regression Models
R-st1.2.7-lp156.1.1Shrinkage t Statistic and Correlation-Adjusted t-Score
R-stabilo0.1.1-lp156.1.1Stabilometric Signal Quantification
R-stable1.1.6-lp156.1.1Probability Functions and Generalized Regression Models for
R-stabm1.2.2-lp156.1.1Stability Measures for Feature Selection
R-stabreg0.1.2-lp156.2.1Linear Regression with the Stable Distribution
R-stabs0.6.4-lp156.1.1Stability Selection with Error Control
R-stackgbm0.1.0-lp156.2.1Stacked Gradient Boosting Machines
R-stackoverflow0.7.0-lp156.2.1Stack Overflow\'s Greatest Hits
R-stacomirtools0.5.3-lp156.1.1\'ODBC\' Connection Class for Package stacomiR
R-stagedtrees2.3.0-lp156.1.1Staged Event Trees
R-stagePop1.1.2-lp156.1.1Modelling the Population Dynamics of a Stage-Structured Spec
R-StakeholderAnalysis1.2-lp156.2.1Measuring Stakeholder Influence
R-StAMPP1.6.3-lp156.16.1Statistical Analysis of Mixed Ploidy Populations
R-stampr0.3.1-lp156.1.1Spatial Temporal Analysis of Moving Polygons
R-STAND2.0-lp156.2.1Statistical Analysis of Non-Detects
R-StandardizeText1.0-lp156.2.1Standardize Text
R-standardlastprofile1.0.0-lp156.1.1Data Package for BDEW Standard Load Profiles in Electricity
R-standartox0.0.2-lp156.2.1Ecotoxicological Information from the Standartox Database
R-standby0.1.0-lp156.5.1Alerts, Notifications and Loading Screen in \'Shiny\'
R-stapler0.7.1-lp156.3.1Simultaneous Truth and Performance Level Estimation
R-STAR0.3.7-lp156.2.1Spike Train Analysis with R
R-stargazer5.2.3-lp156.1.1Well-Formatted Regression and Summary Statistics Tables
R-starm0.1.0-lp156.2.1Spatio-Temporal Autologistic Regression Model
R-starschemar1.2.5-lp156.2.1Obtaining Stars from Flat Tables
R-starter0.1.15-lp156.2.1Starter Kit for New Projects
R-starwarsdb0.1.2-lp156.12.1Relational Data from the \'Star Wars\' API for Learning and
R-stat.extend0.2.1-lp156.1.1Highest Density Regions and Other Functions of Distributions
R-Stat2Data2.0.0-lp156.2.1Datasets for Stat2
R-statar0.7.6-lp156.2.1Tools Inspired by \'Stata\' to Manipulate Tabular Data
R-statcanR0.2.3-lp156.7.1Client for Statistics Canada\'s Open Economic Data
R-statcodelists0.9.2-lp156.1.1Use Standardized Statistical Codelists
R-statcomp0.1.0-lp156.2.1Statistical Complexity and Information Measures for Time Ser
R-statConfR0.1.1-lp156.2.1Models of Decision Confidence and Metacognition
R-StatDataML1.0.27-lp156.1.1Read and Write StatDataML Files
R-statebins1.4.0-lp156.14.1Create United States Uniform Cartogram Heatmaps
R-StateLevelForest0.1.0-lp156.1.1Historical State-Level Forest Cover Data in the United State
R-states0.3.2-lp156.1.1Create Panels of Independent States
R-statgenMPP1.0.2-lp156.3.1QTL Mapping for Multi Parent Populations
R-static0.1.0-lp156.1.1Static Local Variables
R-stationaRy0.5.1-lp156.17.1Detailed Meteorological Data from Stations All Over the Worl
R-statip0.2.3-lp156.2.1Statistical Functions for Probability Distributions and Regr
R-statisfactory1.0.4-lp156.1.1Statistical and Geometrical Tools
R-StatMatch1.4.2-lp156.2.1Statistical Matching or Data Fusion
R-StatMeasures1.0-lp156.2.1Easy Data Manipulation, Data Quality and Statistical Checks
R-statmod1.5.0-lp156.2.1Statistical modeling
R-StatPerMeCo0.1.0-lp156.2.1Statistical Performance Measures to Evaluate Covariance Matr
R-statprograms0.2.0-lp156.2.1Graduate Statistics Program Datasets
R-statquotes0.3.2-lp156.2.1Quotes on Statistics, Data Visualization and Science
R-StatRank0.0.6-lp156.14.1Statistical Rank Aggregation: Inference, Evaluation, and Vis
R-statsearchanalyticsr0.1.4-lp156.13.1An Interface for the \'STAT Search Analytics\' \'API\'
R-statswalesr0.2.0-lp156.6.1Easily Extract Data from \'StatsWales\'
R-stbl0.1.1-lp156.2.1Stabilize Function Arguments
R-stcov0.1.0-lp156.2.1Stein\'s Covariance Estimator
R-stddiff3.1-lp156.1.1Calculate the Standardized Difference for Numeric, Binary an
R-stdReg3.4.1-lp156.2.1Regression Standardization
R-steepness0.3.0-lp156.1.1Testing Steepness of Dominance Hierarchies
R-SteinerNet3.1.0-lp156.6.1Steiner Tree Approach for Graph Analysis
R-SteinIV0.1.1-lp156.2.1Semi-Parametric Stein-Like Estimator with Instrumental Varia
R-stellaR0.3.4-lp156.1.1Evolutionary Tracks and Isochrones from Pisa Stellar Evoluti
R-Stem1.0-lp156.2.1Spatio-temporal models in R
R-stemmatology0.3.2-lp156.7.1Stemmatological Analysis of Textual Traditions
R-stencilaschema1.0.0-lp156.1.1Bindings for Stencila Schema
R-stenR0.6.9-lp156.4.1Standardization of Raw Discrete Questionnaire Scores
R-StepBeta2.1.0-lp156.1.1Stepwise Procedure for Beta, Beta-Binomial and Negative Bino
R-STEPCAM1.2-lp156.9.1ABC-SMC Inference of STEPCAM
R-stepdownfdp1.0.0-lp156.1.1A Step-Down Procedure to Control the False Discovery Proport
R-stepmixr0.1.2-lp156.1.1Interface to \'Python\' Package \'StepMix\'
R-stepPlr0.93-lp156.2.1L2 Penalized Logistic Regression with Stepwise Variable Sele
R-stevedata1.3.0-lp156.2.1Steve\'s Toy Data for Teaching About a Variety of Methodolog
R-stevedore0.9.6-lp156.1.1Docker Client
R-stevethemes0.1.0-lp156.3.1Steve\'s \'ggplot2\' Themes and Related Theme Elements
R-STFTS0.1.0-lp156.1.1Statistical Tests for Functional Time Series
R-STI0.1-lp156.2.1Calculation of the Standardized Temperature Index
R-stickr0.3.1-lp156.6.1View and Use R Hex Stickers
R-sticky0.5.6.1-lp156.2.1Persist Attributes Across Data Operations
R-stickyr0.1.2-lp156.1.1Data Frames with Persistent Columns and Attributes
R-stilt1.3.0-lp156.11.1Separable Gaussian Process Interpolation (Emulation)
R-stim1.0.0-lp156.1.1Incorporating Stability Information into Cross-Sectional Est
R-stima1.2.4-lp156.1.1Simultaneous Threshold Interaction Modeling Algorithm
R-stinepack1.5-lp156.2.1Stineman, a consistently well behaved method of interpolatio
R-stlARIMA0.1.0-lp156.9.1STL Decomposition and ARIMA Hybrid Forecasting Model
R-stlnpp0.4.0-lp156.2.1Spatio-Temporal Analysis of Point Patterns on Linear Network
R-stmgp1.0.4-lp156.1.1Rapid and Accurate Genetic Prediction Modeling for Genome-Wi
R-StMoMo0.4.1-lp156.19.1Stochastic Mortality Modelling
R-STMotif2.0.2-lp156.2.1Discovery of Motifs in Spatial-Time Series
R-stochLAB1.1.2-lp156.8.1Stochastic Collision Risk Model
R-stochprofML2.0.3-lp156.2.1Stochastic Profiling using Maximum Likelihood Estimation
R-stochQN0.1.2.1-lp156.1.1Stochastic Limited Memory Quasi-Newton Optimizers
R-stockAnalyst1.0.1-lp156.1.1Equity Valuation using Methods of Fundamental Analysis
R-stockR1.0.76-lp156.1.1Identifying Stocks in Genetic Data
R-stodom0.0.1-lp156.1.1Estimating Consistent Tests for Stochastic Dominance
R-stoichcalc1.1.5-lp156.1.1R Functions for Solving Stoichiometric Equations
R-stopdetection0.1.2-lp156.1.1Stop Detection in Timestamped Trajectory Data using Spatiote
R-stopwords2.3-lp156.1.1Multilingual Stopword Lists
R-Storm1.2-lp156.2.1Write Storm Bolts in R using the Storm Multi-Language Protoc
R-StormR0.1.1-lp156.1.1Analyzing the Behaviour of Wind Generated by Tropical Storms
R-stormwindmodel0.1.4-lp156.5.1Model Tropical Cyclone Wind Speeds
R-storr1.2.5-lp156.3.1Simple Key Value Stores
R-stortingscrape0.3.0-lp156.1.1Access Data from the Norwegian Parliament API
R-stoRy0.2.2-lp156.2.1Download, Explore, and Analyze Literary Theme Ontology Data
R-storywranglr0.2.0-lp156.9.1Explore Twitter Trends with the \'Storywrangler\' API
R-STPGA5.2.1-lp156.7.1Selection of Training Populations by Genetic Algorithm
R-str2str1.0.0-lp156.1.1Convert R Objects from One Structure to Another
R-StrainRanking1.2-lp156.2.1Ranking of Pathogen Strains
R-strand0.2.0-lp156.13.1A Framework for Investment Strategy Simulation
R-strap1.6.1-lp156.2.1Stratigraphic Tree Analysis for Palaeontology
R-strata.MaxCombo0.0.1-lp156.1.1Stratified Max-Combo Test
R-stratallo2.2.1-lp156.1.1Optimum Sample Allocation in Stratified Sampling
R-stratbr1.2-lp156.2.1Optimal Stratification in Stratified Sampling
R-strategicplayers1.1-lp156.1.1Strategic Players
R-Strategy1.0.1-lp156.2.1Generic Framework to Analyze Trading Strategies
R-StrathE2E23.3.0-lp156.1.1End-to-End Marine Food Web Model
R-stratification2.2.7-lp156.1.1Univariate Stratification of Survey Populations
R-StratifiedBalancing0.3.0-lp156.3.1Stratified Covariate Balancing
R-StratifiedRF0.2.2-lp156.17.1Builds Trees by Sampling Variables in Groups
R-StratigrapheR1.3.1-lp156.3.1Integrated Stratigraphy
R-StratSel1.3-lp156.9.1Strategic Selection Estimator
R-stratvns1.1-lp156.7.1Optimal Stratification in Stratified Sampling
R-straweib1.1-lp156.2.1Stratified Weibull Regression Model
R-stray0.1.1-lp156.16.1Anomaly Detection in High Dimensional and Temporal Data
R-streambugs1.4-lp156.1.1Parametric Ordinary Differential Equations Model of Growth,
R-streamR0.4.5-lp156.10.1Access to Twitter Streaming API via R
R-stressor0.2.0-lp156.2.1Algorithms for Testing Models under Stress
R-StressStrength1.0.2-lp156.2.1Computation and Estimation of Reliability of Stress-Strength
R-String2AdjMatrix0.1.0-lp156.7.1Creates an Adjacency Matrix from a List of Strings
R-stringb0.1.17-lp156.1.1Convenient Base R String Handling
R-stringdist0.9.12-lp156.1.1Approximate String Matching, Fuzzy Text Search, and String D
R-stringformattr0.1.2-lp156.7.1Dynamic String Formatting
R-stringi1.8.4-lp156.2.1Fast and Portable Character String Processing Facilities
R-stringr1.5.1-lp156.2.1Simple, Consistent Wrappers for Common String Operations
R-stringstatic0.1.2-lp156.1.1Dependency-Free String Operations
R-stringx0.2.8-lp156.2.1Replacements for Base String Functions Powered by \'stringi\
R-strip1.0.0-lp156.3.1Lighten your R Model Outputs
R-stripless1.0.3-lp156.2.1Structured Trellis Displays Without Strips for Lattice Graph
R-StructFDR1.4-lp156.2.1False Discovery Control Procedure Integrating the Prior Stru
R-StructuralDecompose0.1.1-lp156.1.1Decomposes a Level Shifted Time Series
R-StructureMC1.0-lp156.3.1Structured Matrix Completion
R-strvalidator2.3.0-lp156.11.1Process Control and Internal Validation of Forensic STR Kits
R-stsm.class1.3-lp156.2.1Class and Methods for Structural Time Series Models
R-stuart0.10.2-lp156.1.1Subtests Using Algorithmic Rummaging Techniques
R-stubthat1.2.1-lp156.8.1Stubbing Framework for R
R-stUPscales1.0.3.4-lp156.9.1Spatio-Temporal Uncertainty Propagation Across Multiple Scal
R-STV1.0.2-lp156.1.1Single Transferable Vote Counting
R-styler1.10.3-lp156.2.1Non-Invasive Pretty Printing of R Code
R-stylest0.2.0-lp156.1.1Estimating Speaker Style Distinctiveness
R-stylo0.7.4-lp156.5.1Stylometric Multivariate Analyses
R-subcopem2D1.3-lp156.2.1Bivariate Empirical Subcopula
R-SubCultCon1.0-lp156.2.1Maximum-Likelihood Cultural Consensus Analysis with Sub-Cult
R-subdetect1.2-lp156.1.1Detect Subgroup with an Enhanced Treatment Effect
R-subformula0.1.0-lp156.2.1Create Subformulas of a Formula
R-subgroup1.1-lp156.2.1Methods for exploring treatment effect heterogeneity in subg
R-SubgrPlots0.1.3-lp156.18.1Graphical Displays for Subgroup Analysis in Clinical Trials
R-subgxe0.9.0-lp156.2.1Combine Multiple GWAS by Using Gene-Environment Interactions
R-submax1.1.1-lp156.2.1Effect Modification in Observational Studies Using the Subma
R-SubpathwayGMir1.0-lp156.3.1Identify Metabolic Subpathways Mediated by MicroRNAs
R-subrank0.9.9.3-lp156.1.1Computes Copula using Ranks and Subsampling
R-subsamp0.1.0-lp156.2.1Subsample Winner Algorithm for Variable Selection in Linear
R-subselect0.15.5-lp156.1.1Selecting variable subsets
R-subsemble0.1.0-lp156.1.1An Ensemble Method for Combining Subset-Specific Algorithm F
R-subtee1.0.1-lp156.6.1Subgroup Treatment Effect Estimation in Clinical Trials
R-subtype1.0-lp156.2.1Cluster analysis to find molecular subtypes and their assess
R-sudachir0.1.0-lp156.16.1R Interface to \'Sudachi\'
R-sudoku2.8-lp156.1.1Sudoku Puzzle Generator and Solver
R-sudokuAlt0.2.1-lp156.2.1Tools for Making and Spoiling Sudoku Games
R-SUE1.0-lp156.2.1Subsampling method
R-SuessR0.1.5-lp156.1.1Suess and Laws Corrections for Marine Stable Carbon Isotope
R-sufficientForecasting0.1.0-lp156.1.1Sufficient Forecasting using Factor Models
R-suggests0.1.0-lp156.1.1Declare when Suggested Packages are Needed
R-sugrrants0.2.9-lp156.2.1Supporting Graphs for Analysing Time Series
R-summariser2.3.0-lp156.13.1Easy Calculation and Visualisation of Confidence Intervals
R-SummaryLasso1.2.1-lp156.2.1Building Polygenic Risk Score Using GWAS Summary Statistics
R-summclust0.7.2-lp156.2.1Module to Compute Influence and Leverage Statistics for Regr
R-SUMMER1.4.0-lp156.2.1Small-Area-Estimation Unit/Area Models and Methods for Estim
R-sumR0.4.15-lp156.1.1Approximate Summation of Series
R-suncalc0.5.1-lp156.4.1Compute Sun Position, Sunlight Phases, Moon Position and Lun
R-Sunclarco1.0.0-lp156.2.1Survival Analysis using Copulas
R-Sunder0.0.4-lp156.3.1Quantification of the effect of geographic versus environmen
R-SunsVoc0.1.1-lp156.6.1Constructing Suns-Voc from Outdoor Time-Series I-V Curves
R-SunterSampling1.0.1-lp156.2.1Sunter\'s sampling design
R-supclust1.1.1-lp156.1.1Supervised Clustering of Predictor Variables Such as Genes
R-supcluster1.0.1-lp156.1.1Supervised Cluster Analysis
R-supercompress1.1-lp156.1.1Supervised Compression of Big Data
R-superdiag2.0-lp156.2.1A Comprehensive Test Suite for Testing Markov Chain Nonconve
R-SuperExactTest1.1.0-lp156.1.1Exact Test and Visualization of Multi-Set Intersections
R-superheat0.1.0-lp156.18.1A Graphical Tool for Exploring Complex Datasets Using Heatma
R-SuperLearner2.0.29-lp156.1.1Super Learner Prediction
R-superMDS1.0.2-lp156.2.1Implements the supervised multidimensional scaling (superMDS
R-supernova3.0.0-lp156.1.1Judd, McClelland, & Ryan Formatting for ANOVA Output
R-superpc1.12-lp156.2.1Supervised Principal Components
R-supervisedPRIM2.0.0-lp156.9.1Supervised Classification Learning and Prediction using Pati
R-SupMZ0.2.0-lp156.13.1Detecting Structural Change with Heteroskedasticity
R-support.BWS0.4.6-lp156.1.1Tools for Case 1 Best-Worst Scaling
R-support.BWS20.4.0-lp156.1.1Tools for Case 2 Best-Worst Scaling
R-support.BWS30.2.1-lp156.1.1Tools for Case 3 Best-Worst Scaling
R-support.CEs0.7.0-lp156.1.1Basic Functions for Supporting an Implementation of Choice E
R-supportInt1.1-lp156.2.1Calculates Likelihood Support Intervals for Common Data Type
R-sure0.2.0-lp156.14.1Surrogate Residuals for Ordinal and General Regression Model
R-surf1.0.0-lp156.2.1Survey-Based Gross Flows Estimation
R-SurfaceTortoise2.0.1-lp156.1.1Find Optimal Sampling Locations Based on Spatial Covariate(s
R-SurrogateOutcome1.1-lp156.1.1Estimation of the Proportion of Treatment Effect Explained b
R-SurrogateRank1.0-lp156.2.1Rank-Based Test to Evaluate a Surrogate Marker
R-SurrogateTest1.3-lp156.1.1Early Testing for a Treatment Effect using Surrogate Marker
R-surrosurvROC0.1.0-lp156.2.1Surrogate Survival ROC
R-suRtex0.9-lp156.2.1LaTeX descriptive statistic reporting for survey data
R-surv2sampleComp1.0.5-lp156.10.1Inference for Model-Free Between-Group Parameters for Censor
R-survAH1.0.0-lp156.1.1Survival Data Analysis using Average Hazard
R-survAWKMT21.0.1-lp156.1.1Two-Sample Tests Based on Differences of Kaplan-Meier Curves
R-survBootOutliers1.0-lp156.2.1Concordance Based Bootstrap Methods for Outlier Detection in
R-survC11.0.3-lp156.1.1C-Statistics for Risk Prediction Models with Censored Surviv
R-SurvCorr1.1-lp156.4.1Correlation of Bivariate Survival Times
R-survCurve1.0-lp156.2.1Plots Survival Curves Element by Element
R-SurvDisc0.1.1-lp156.3.1Discrete Time Survival and Longitudinal Data Analysis
R-survELtest2.0.1-lp156.3.1Comparing Multiple Survival Functions with Crossing Hazards
R-survexp.fr1.1-lp156.1.1Relative Survival, AER and SMR Based on French Death Rates
R-surveyCV0.2.0-lp156.4.1Cross Validation Based on Survey Design
R-surveyeditor1.0-lp156.2.1Generate a Survey that can be Completed by Survey Respondent
R-surveygraph0.1.2-lp156.1.1Network Representations of Attitudes
R-surveyoutliers0.1-lp156.2.1Helps Manage Outliers in Sample Surveys
R-surveyplanning4.0-lp156.2.1Survey Planning Tools
R-Survgini1.0-lp156.2.1The Gini concentration test for survival data
R-survIDINRI1.1.2-lp156.1.1IDI and NRI for Comparing Competing Risk Prediction Models w
R-survival3.7.0-lp156.1.1Survival analysis
R-survivalMPL0.2.3-lp156.1.1Penalised Maximum Likelihood for Survival Analysis Models
R-survivalMPLdc0.1.1-lp156.2.1Penalised Likelihood for Survival Analysis with Dependent Ce
R-survivalREC1.1-lp156.1.1Nonparametric Estimation of the Distribution of Gap Times fo
R-survivalROC1.0.3.1-lp156.2.1Time-Dependent ROC Curve Estimation from Censored Survival D
R-SurvivalTests1.0-lp156.1.1Survival Tests for One-Way Layout
R-survivalVignettes0.1.6-lp156.2.1Survival Analysis Vignettes and Optional Datasets
R-survJamda.data1.0.2-lp156.2.1Data for Package \'survJambda\'
R-SurvLong1.4-lp156.1.1Analysis of Proportional Hazards Model with Sparse Longitudi
R-SurvMI0.1.0-lp156.2.1Multiple Imputation Method in Survival Analysis
R-survmixer1.3-lp156.1.1Design of Clinical Trials with Survival Endpoints Based on B
R-survML1.1.0-lp156.2.1Flexible Estimation of Conditional Survival Functions Using
R-survMS0.0.1-lp156.4.1Survival Model Simulation
R-survout0.1.0-lp156.5.1Excel Conversion of R Surival Analysis Output
R-survParamSim0.1.6-lp156.8.1Parametric Survival Simulation with Parameter Uncertainty
R-survPresmooth1.1.11-lp156.1.1Presmoothed Estimation in Survival Analysis
R-SurvRegCensCov1.7-lp156.1.1Weibull Regression for a Right-Censored Endpoint with Interv
R-survRM21.0.4-lp156.1.1Comparing Restricted Mean Survival Time
R-survRM2adapt1.1.0-lp156.1.1Flexible and Coherent Test/Estimation Procedure Based on Res
R-survRM2perm0.1.0-lp156.2.1Permutation Test for Comparing Restricted Mean Survival Time
R-survsim1.1.8-lp156.1.1Simulation of Simple and Complex Survival Data
R-SurvSparse0.1-lp156.5.1Survival Analysis with Sparse Longitudinal Covariates
R-survSpearman1.0.1-lp156.1.1Nonparametric Spearman\'s Correlation for Survival Data
R-survtmle1.1.1-lp156.11.1Compute Targeted Minimum Loss-Based Estimates in Right-Censo
R-SurvTrunc0.2.0-lp156.1.1Analysis of Doubly Truncated Data
R-susieR0.12.35-lp156.1.1Sum of Single Effects Linear Regression
R-susographql0.1.6-lp156.1.1Comprehensive Interface to the Survey Solutions \'GraphQL\'
R-SUSY0.1.0-lp156.1.1Surrogate Synchrony
R-sValues0.1.6-lp156.15.1Measures of the Sturdiness of Regression Coefficients
R-svcm0.1.2-lp156.1.12d and 3d Space-Varying Coefficient Models
R-svDialogs1.1.0-lp156.1.1\'SciViews\' - Standard Dialog Boxes for Windows, MacOS and
R-svDialogstcltk1.0.0-lp156.1.1\'SciViews\' - Standard Dialog Boxes using Tcl/Tk
R-svdvisual1.1-lp156.2.1SVD visualization tools
R-svenssonm0.1.0-lp156.2.1Svensson\'s Method
R-svgtools1.1.2-lp156.1.1Manipulate SVG (Template) Files of Charts
R-svGUI1.0.1-lp156.1.1SciViews - Manage GUIs in R
R-svHttp1.0.4-lp156.1.1\'SciViews\' - HTTP Server
R-svIDE0.9.54-lp156.3.1Functions to Ease Interactions Between R and IDE or Code Edi
R-svKomodo1.0.0-lp156.1.1\'SciViews\' - Functions to Interface with Komodo IDE
R-svMisc1.2.3-lp156.1.1\'SciViews\' - Miscellaneous Functions
R-svmpath0.970-lp156.2.1The SVM Path Algorithm
R-svmplus1.0.1-lp156.2.1Implementation of Support Vector Machines Plus (SVM+)
R-SVN1.0.1-lp156.8.1Statistically Validated Networks
R-svplots0.1.0-lp156.7.1Sample Variance Plots (Sv-Plots)
R-svrep0.6.4-lp156.2.1Tools for Creating, Updating, and Analyzing Survey Replicate
R-svrpath0.1.2-lp156.2.1The SVR Path Algorithm
R-svSocket1.1.5-lp156.2.1\'SciViews\' - Socket Server
R-svTools0.9.5-lp156.2.1Wrappers for Tools in Other Packages for IDE Friendliness
R-svUnit1.0.6-lp156.1.1\'SciViews\' - Unit, Integration and System Testing
R-svWidgets0.9.45-lp156.2.1Management of GUI Widgets, Windows, and Other GUI Resources
R-svydiags0.6-lp156.2.1Regression Model Diagnostics for Survey Data
R-svyPVpack0.1.1-lp156.3.1A package for complex surveys including plausible values
R-svyVGAM1.2-lp156.3.1Design-Based Inference in Vector Generalised Linear Models
R-svyweight0.1.0-lp156.4.1Quick and Flexible Survey Weighting
R-swa0.8.1-lp156.14.1Subsampling Winner Algorithm for Classification
R-swaRm0.6.0-lp156.2.1Processing Collective Movement Data
R-SwarmSVM0.1.7-lp156.2.1Ensemble Learning Algorithms Based on Support Vector Machine
R-swatches0.5.0-lp156.7.1Read, Inspect, and Manipulate Color Swatch Files
R-swdft1.0.0-lp156.2.1Sliding Window Discrete Fourier Transform (SWDFT)
R-SweepDiscovery0.1.1-lp156.1.1Selective Sweep Discovery Tool
R-sweidnumbr1.5.0-lp156.1.1Handling of Swedish Identity Numbers
R-swimplot1.2.0-lp156.11.1Tools for Creating Swimmers Plots using \'ggplot2\'
R-SwissAir1.1.6-lp156.1.1Air Quality Data of Switzerland for One Year in 30 Min Resol
R-swissparl0.2.2-lp156.10.1Interface to the Webservices of the Swiss Parliament
R-switchcase0.1.1-lp156.2.1A Simple and Flexible Switch-Case Construct for the \'R\' La
R-switchnpreg0.8.0-lp156.11.1Switching nonparametric regression models for a single curve
R-switchr0.14.8-lp156.1.1Installing, Managing, and Switching Between Distinct Sets of
R-sybil2.2.0-lp156.1.1Efficient Constrained Based Modelling
R-sybilccFBA3.0.1-lp156.2.1Cost Constrained Flux Balance Analysis (ccFBA): MetabOlic Mo
R-sybilcycleFreeFlux2.0.2-lp156.1.1Cycle-Free Flux Balance Analysis (CycleFreeFlux)
R-sybilDynFBA1.0.2-lp156.2.1Dynamic FBA : Dynamic Flux Balance Analysis
R-sylcount0.2.6-lp156.1.1Syllable Counting and Readability Measurements
R-syllabifyr0.1.1-lp156.17.1Syllabifier for CMU Dictionary Transcriptions
R-sylly0.1.6-lp156.2.1Hyphenation and Syllable Counting for Text Analysis
R-sylly.en0.1.3-lp156.2.1Language Support for \'sylly\' Package: English
R-sym.arma1.0-lp156.2.1Autoregressive and Moving Average Symmetric Models
R-SymbolicDeterminants2.0.0-lp156.1.1Symbolic Representation of Matrix Determinant
R-symbols1.1-lp156.2.1Symbol plots
R-symDMatrix2.1.1-lp156.2.1Partitioned Symmetric Matrices
R-symmoments1.2.1-lp156.3.1Symbolic Central and Noncentral Moments of the Multivariate
R-syn0.1.0-lp156.2.1Creates Synonyms From Target Words
R-synchrony0.3.8-lp156.2.1Methods for Computing Spatial, Temporal, and Spatiotemporal
R-SynchWave1.1.2-lp156.8.1Synchrosqueezed Wavelet Transform
R-SyncMove0.1.0-lp156.2.1Subsample Temporal Data to Synchronal Events and Compute the
R-SyncRNG1.3.3-lp156.1.1A Synchronized Tausworthe RNG for R and Python
R-SYNCSA1.3.4-lp156.8.1Analysis of Functional and Phylogenetic Patterns in Metacomm
R-synfd0.1.3-lp156.4.1Synthesize Dense or Sparse Functional Data/Snippets
R-synoptReg1.2.1-lp156.19.1Synoptic Climate Classification and Spatial Regionalization
R-synRNASeqNet1.0-lp156.2.1Synthetic RNA-Seq Network Generation and Mutual Information
R-syntaxr0.8.0-lp156.2.1An \'SPSS\' Syntax Generator for Multi-Variable Manipulation
R-syntenyPlotteR1.0.0-lp156.2.1Genome Synteny Visualization
R-Synth1.1.8-lp156.6.1Synthetic Control Group Method for Comparative Case Studies
R-SynthCast0.2.1-lp156.4.1Synthetic Control Method to Forecast Series
R-synthesisr0.3.0-lp156.3.1Import, Assemble, and Deduplicate Bibliographic Datasets
R-SynthETIC1.1.0-lp156.1.1Synthetic Experience Tracking Insurance Claims
R-SynthTools1.0.1-lp156.15.1Tools and Tests for Experiments with Partially Synthetic Dat
R-SyScSelection1.0.2-lp156.2.1Systematic Scenario Selection for Stress Testing
R-sysid1.0.4-lp156.15.1System Identification in R
R-syslognet0.1.2.1-lp156.2.1Send Log Messages to Remote \'syslog\' Server
R-syuzhet1.0.7-lp156.2.1Extracts Sentiment and Sentiment-Derived Plot Arcs from Text
R-T2DFitTailor3.0.0-lp156.2.1Tailor the Exercise Plans and Visualize the Outcome for T2D
R-T2EQ1.1-lp156.2.1Functions for Applying the T^2-Test for Equivalence
R-Taba1.0.0-lp156.1.1Taba Robust Correlations
R-tabbycat0.18.0-lp156.2.1Tabulate and Summarise Categorical Data
R-taber0.1.2-lp156.13.1Split and Recombine Your Data
R-tabit0.2.1-lp156.2.1Simple Tabulation Made Simple
R-table.express0.4.2-lp156.1.1Build \'data.table\' Expressions with Data Manipulation Verb
R-Table1Heatmap1.2-lp156.1.1Table 1 Heatmap
R-tablecompare0.1.1-lp156.1.1Compare Data Frames
R-tableeasy1.1.2-lp156.11.1Tables of Clinical Study
R-tableExtra1.0.1-lp156.2.1Draws an Awesome Table
R-TableHC0.1.2-lp156.2.1Higher Criticism Test of Two Frequency Counts Tables
R-tableHTML2.1.2-lp156.5.1A Tool to Create HTML Tables
R-tableMatrix0.82.0-lp156.2.1Combines \'data.table\' and \'matrix\' Classes
R-TableMonster1.7-lp156.2.1Table Monster
R-tableone0.13.2-lp156.10.1Create \'Table 1\' to Describe Baseline Characteristics with
R-tableplot0.3.5-lp156.2.1Represents tables as semi-graphic displays
R-TableToLongForm1.3.2-lp156.2.1Automatically Convert Hierarchical for-Human Tables to Machi
R-taboolaR0.1.0-lp156.1.1Get Data from \'Taboola\' via the \'Windsor.ai\' API
R-tabshiftr0.4.1-lp156.5.1Reshape Disorganised Messy Data
R-tabularaster0.7.2-lp156.3.1Tidy Tools for \'Raster\' Data
R-tabulator1.0.0-lp156.15.1Efficient Tabulation with Stata-Like Output
R-tabulog0.1.1-lp156.2.1Parsing Semi-Structured Log Files into Tabular Format
R-tabuSearch1.1.1-lp156.2.1Tabu Search Algorithm for Binary Configurations
R-tacmagic0.3.1-lp156.2.1Positron Emission Tomography Time-Activity Curve Analysis
R-tada2024.1.0-lp156.1.1Supporting Tools for Tada Science
R-TAF4.2.0-lp156.1.1Transparent Assessment Framework for Reproducible Research
R-tagr1.0.1-lp156.1.1Tagging and Organizing Objects in R
R-TailClassifier0.1.1-lp156.1.1Tail Classifier
R-tailDepFun1.0.1-lp156.7.1Minimum Distance Estimation of Tail Dependence Models
R-tailloss1.0-lp156.2.1Estimate the Probability in the Upper Tail of the Aggregate
R-tailTransform1.0.4-lp156.1.1Symmetric Transformation of Tails for Plotting Differences
R-taipan0.1.2-lp156.13.1Tool for Annotating Images in Preparation for Analysis
R-takos0.2.0-lp156.18.1Analysis of Differential Calorimetry Scans
R-tanaka0.4.0-lp156.1.1Design Shaded Contour Lines (or Tanaka) Maps
R-TanB0.1-lp156.2.1The TanB Distribution
R-tangles0.8.1-lp156.3.1Anonymization of Spatial Point Patterns and Raster Objects
R-TangPoemR0.1.0-lp156.3.1Write Chinese Tang Poems
R-tangram.pipe1.1.2-lp156.3.1Row-by-Row Table Building
R-TaoTeProgramming1.0-lp156.1.1Illustrations from Tao Te Programming
R-TapeR0.5.3-lp156.1.1Flexible Tree Taper Curves Based on Semiparametric Mixed Mod
R-tapkee1.2-lp156.1.1Wrapper for \'tapkee\' Dimension Reduction Library
R-tapnet0.3-lp156.24.1Trait Matching and Abundance for Predicting Bipartite Networ
R-TAR1.0-lp156.2.1Bayesian Modeling of Autoregressive Threshold Time Series Mo
R-Tariff1.0.5-lp156.2.1Replicate Tariff Method for Verbal Autopsy
R-taRifx1.0.6.2-lp156.3.1Collection of Utility and Convenience Functions
R-tashu0.1.1-lp156.17.1Analysis and Prediction of Bicycle Rental Amount
R-tastypie0.1.1-lp156.1.1Easy Pie Charts
R-tatest1.0-lp156.2.1Two-Group Ta-Test
R-tatoo1.1.2-lp156.2.1Combine and Export Data Frames
R-tau0.0.25-lp156.1.1Text Analysis Utilities
R-TauP.R1.5-lp156.2.1Earthquake Traveltime Calculations for 1-D Earth Models
R-tauProcess2.1.3-lp156.1.1Tau Measure with Right-Censored Data
R-tauturri0.3.0-lp156.11.1Get Data Out of \'Tautulli\' (Formerly \'PlexPy\')
R-taxa0.4.3-lp156.1.1Classes for Storing and Manipulating Taxonomic Data
R-taxadb0.2.1-lp156.2.1A High-Performance Local Taxonomic Database Interface
R-taxalight0.1.5-lp156.1.1A Lightweight and Lightning-Fast Taxonomic Naming Interface
R-TaxicabCA0.1.1-lp156.2.1Taxicab Correspondence Analysis
R-taxizedb0.3.1-lp156.2.1Tools for Working with \'Taxonomic\' Databases
R-taxonbridge1.2.2-lp156.8.1Create Custom Taxonomies Based on the NCBI Taxonomy and GBIF
R-taxonomizr0.10.6-lp156.1.1Functions to Work with NCBI Accessions and Taxonomy
R-Taxonstand2.4-lp156.1.1Taxonomic Standardization of Plant Species Names
R-taylor3.1.0-lp156.2.1Lyrics and Song Data for Taylor Swift\'s Discography
R-TaylorRussell1.2.1-lp156.3.1A Taylor-Russell Function for Multiple Predictors
R-tayloRswift0.1.0-lp156.1.1Color Palettes Generated by Taylor Swift Albums
R-tbd0.1.0-lp156.2.1Estimation of Causal Effects with Outcomes Truncated by Deat
R-tbdiag0.1-lp156.2.1Functions for tuberculosis diagnostics research
R-TBEST5.2-lp156.1.1Tree Branches Evaluated Statistically for Tightness
R-TBFmultinomial0.1.3-lp156.7.1TBF Methodology Extension for Multinomial Outcomes
R-tbl2xts1.0.4-lp156.12.1Convert Tibbles or Data Frames to Xts Easily
R-tboot0.2.1-lp156.2.1Tilted Bootstrap
R-tbrf0.1.5-lp156.19.1Time-Based Rolling Functions
R-TBSSurvival1.3-lp156.2.1Survival Analysis using a Transform-Both-Sides Model
R-TCA1.2.1-lp156.10.1Tensor Composition Analysis
R-tcensReg0.1.7-lp156.4.1MLE of a Truncated Normal Distribution with Censored Data
R-tcftt0.1.0-lp156.2.1Two-Sample Tests for Skewed Data
R-TCGAretriever1.9.1-lp156.1.1Retrieve Genomic and Clinical Data from CBioPortal Including
R-tcgsaseq2.0.5-lp156.8.1Time-Course Gene Set Analysis for RNA-Seq Data
R-TCIApathfinder1.0.6-lp156.2.1Client for the Cancer Imaging Archive REST API
R-tcltk21.2.11-lp156.2.1Tcl/Tk Additions
R-Tcomp1.0.1-lp156.16.1Data from the 2010 Tourism Forecasting Competition
R-tcplfit20.1.6-lp156.2.1Concentration-Response Modeling of HTS or Transcriptomics Da
R-TCPMOR1.0-lp156.2.1Two Cut-Points with Maximum Odds Ratio
R-tcsinvest0.1.1-lp156.2.1R API for Tinkoff Investments
R-td0.0.6-lp156.2.1Access to the \'twelvedata\' Financial Data API
R-TDAmapper1.0-lp156.2.1Analyze High-Dimensional Data Using Discrete Morse Theory
R-tdaunif0.2.0-lp156.1.1Uniform Manifold Samplers for Topological Data Analysis
R-TDbook0.0.6-lp156.1.1Companion Package for the Book \"Data Integration, Manipulat
R-TDboost1.5-lp156.1.1A Boosted Tweedie Compound Poisson Model
R-TDCM0.1.0-lp156.1.1The Transition Diagnostic Classification Model Framework
R-tdcmStan3.0.0-lp156.2.1Automating the Creation of Stan Code for TDCMs
R-TDCor0.1.2-lp156.2.1Gene Network Inference from Time-Series Transcriptomic Data
R-TDD0.4-lp156.2.1Time-Domain Deconvolution of Seismometer Response
R-tdigest0.4.2-lp156.1.1Wicked Fast, Accurate Quantiles Using t-Digests
R-TDPanalysis1.0-lp156.3.1Granier\'s Sap Flow Sensors (TDP) Analysis
R-tdr0.13-lp156.14.1Target Diagram
R-tdsa1.1.0-lp156.1.1Time-Dependent Sensitivity Analysis
R-tdsc1.0.4-lp156.1.1Time Domain Signal Coding
R-TDSTNN0.1.0-lp156.2.1Time Delay Spatio Temporal Neural Network
R-tdthap1.3-lp156.1.1TDT Tests for Extended Haplotypes
R-TE0.3.0-lp156.16.1Insertion/Deletion Dynamics for Transposable Elements
R-tea1.1-lp156.2.1Threshold Estimation Approaches
R-TeachHist0.2.1-lp156.1.1A Collection of Amended Histograms Designed for Teaching Sta
R-TeachingDemos2.13-lp156.1.1Demonstrations for teaching and learning
R-TeachingSampling4.1.1-lp156.13.1Selection of Samples and Parameter Estimation in Finite Popu
R-TeachNet0.7.1-lp156.2.1Fits Neural Networks to Learn About Backpropagation
R-teal.code0.5.0-lp156.1.1Code Storage and Execution Class for \'teal\' Applications
R-teal.data0.6.0-lp156.2.1Data Model for \'teal\' Applications
R-teal.logger0.2.0-lp156.3.1Logging Setup for the \'teal\' Family of Packages
R-teal.transform0.5.0-lp156.3.1Functions for Extracting and Merging Data in the \'teal\' Fr
R-teal.widgets0.4.2-lp156.4.1\'shiny\' Widgets for \'teal\' Applications
R-tealeaves1.0.6-lp156.6.1Solve for Leaf Temperature Using Energy Balance
R-TEAM0.1.0-lp156.17.1Multiple Hypothesis Testing on an Aggregation Tree Method
R-teamcolors0.0.4-lp156.18.1Color Palettes for Pro Sports Teams
R-teamr0.0.1-lp156.2.1Send Formatted Messages, Images and Objects to Microsoft \'T
R-tectonicr0.3.2-lp156.1.1Analyzing the Orientation of Maximum Horizontal Stress
R-teda0.1.1-lp156.2.1An Implementation of the Typicality and Eccentricity Data An
R-teigen2.2.2-lp156.2.1Model-Based Clustering and Classification with the Multivari
R-Tejapi1.0.1-lp156.2.1API Wrapper for Taiwan Economic Journal Data Service
R-telegram0.6.0-lp156.2.1R Wrapper Around the Telegram Bot API
R-telegram.bot3.0.0-lp156.4.1Develop a \'Telegram Bot\' with R
R-telemetR1.0-lp156.2.1Filter and Analyze Generalised Telemetry Data from Organisms
R-telraamStats1.1.2-lp156.1.1Retrieval and Visualization of Mobility Data from \'Telraam\
R-TempCont0.1.0-lp156.2.1Temporal Contributions on Trends using Mixed Models
R-tempcyclesdata1.0.1-lp156.2.1Climate Data from Wang and Dillon
R-tempdisagg1.1.1-lp156.1.1Methods for Temporal Disaggregation and Interpolation of Tim
R-templates0.4.0-lp156.2.1A System for Working with Templates
R-templr0.2.0-lp156.2.1MASCOTNUM Algorithms Template Tools
R-tempoR1.0.4.4-lp156.2.1Characterizing Temporal Dysregulation
R-Temporal0.3.0.1-lp156.2.1Parametric Time to Event Analysis
R-TemporalGSSA1.0.1-lp156.1.1Outputs Temporal Profile of Molecules from Stochastic Simula
R-tempR0.10.1.1-lp156.2.1Temporal Sensory Data Analysis
R-tenispolaR0.1.4-lp156.7.1Provides ZENIT-POLAR Substitution Cipher Method of Encryptio
R-tensor1.5-lp156.2.1Tensor product of arrays
R-tensorA0.36.2.1-lp156.1.1Advanced Tensor Arithmetic with Named Indices
R-tensorBF1.0.2-lp156.2.1Bayesian Tensor Factorization
R-TensorClustering1.0.2-lp156.2.1Model-Based Tensor Clustering
R-TensorComplete0.2.0-lp156.1.1Tensor Noise Reduction and Completion Methods
R-tensorflow2.16.0-lp156.2.1R Interface to \'TensorFlow\'
R-tensorFun0.1.1-lp156.2.1Basic Functions to Handle Tensor Data in Array Class
R-tensorordinal0.2.0-lp156.2.1Tensor Noise Reduction and Completion Based on Ordinal Obser
R-TensorPreAve1.1.0-lp156.1.1Rank and Factor Loadings Estimation in Time Series Tensor Fa
R-tensorr0.1.1-lp156.4.1Sparse Tensors in R
R-tensorregress5.1-lp156.1.1Supervised Tensor Decomposition with Side Information
R-tensorsign0.1.0-lp156.1.1Nonparametric Tensor Completion via Sign Series
R-tensorsparse3.0-lp156.2.1Multiway Clustering via Tensor Block Models
R-tensorTS1.0.2-lp156.2.1Factor and Autoregressive Models for Tensor Time Series
R-tensr1.0.1-lp156.2.1Covariance Inference and Decompositions for Tensor Datasets
R-TEQR6.0.0-lp156.2.1Target Equivalence Range Design
R-TERAplusB1.0-lp156.2.1Test for A+B Traditional Escalation Rule
R-term0.3.5-lp156.3.1Create, Manipulate and Query Parameter Terms
R-ternvis1.2-lp156.2.1Visualisation, Verification and Calibration of Ternary Proba
R-terrainr0.7.5-lp156.1.1Landscape Visualizations in R and \'Unity\'
R-TesiproV0.9.2-lp156.9.1Calculation of Reliability and Failure Probability in Civil
R-test2norm0.3.0-lp156.2.1Normative Standards for Cognitive Tests
R-testarguments0.0.1-lp156.10.1Test (Multiple) Arguments of a User-Defined Prediction Algor
R-testassay0.1.1-lp156.2.1A Hypothesis Testing Framework for Validating an Assay for P
R-testDriveR0.5.2-lp156.1.1Teaching Data for Statistics and Data Science
R-testequavar0.1.5-lp156.1.1Bootstrap Tests for Equality of 2, 3, or 4 Population Varian
R-tester0.2.0-lp156.2.1Tests and Checks Characteristics of R Objects
R-testex0.2.0-lp156.2.1Add Tests to Examples
R-testextra0.1.0.1-lp156.4.1Extract Test Blocks
R-TestFunctions0.2.1-lp156.1.1Test Functions for Simulation Experiments and Evaluating Opt
R-TestGenerator0.3.1-lp156.1.1Integration Unit Tests for Pharmacoepidemiological Studies
R-TestIndVars0.1.0-lp156.2.1Testing the Independence of Variables for Specific Covarianc
R-TestingSimilarity1.1-lp156.3.1Bootstrap Test for the Similarity of Dose Response Curves Co
R-testit0.13-lp156.1.1A Simple Package for Testing R Packages
R-TestScorer1.7.2-lp156.2.1GUI for Entering Test Items and Obtaining Raw and Transforme
R-testthatmulti0.1.0-lp156.1.1Testing for R Packages with Multiple Attempts for Noisy Test
R-testtwice1.0.3-lp156.2.1Testing One Hypothesis Twice in Observational Studies
R-Tex4exams0.1.2-lp156.1.1Generating \'Sweave\' Code for \'R/exams\' Questions in Math
R-TeXCheckR0.8.1-lp156.1.1Parses LaTeX Documents for Errors
R-TexMix0.5.3-lp156.3.1Supporting Functions and Data for Geo-Spatial Analytics Cour
R-TExPosition2.6.10.1-lp156.2.1Two-Table ExPosition
R-text2sdgData0.1.1-lp156.1.1Contains the Trained \'text2sdg\' Ensemble Model Data
R-textab1.0.1-lp156.1.1Create Highly-Customized \'LaTeX\' Tables
R-textBoxPlacement1.0-lp156.1.1Compute a Non-Overlapping Layout of Text Boxes to Label Mult
R-textcat1.0.8-lp156.1.1N-Gram Based Text Categorization
R-textclean0.9.3-lp156.16.1Text Cleaning Tools
R-textdata0.4.5-lp156.2.1Download and Load Various Text Datasets
R-texteffect0.3-lp156.14.1Discovering Latent Treatments in Text Corpora and Estimating
R-texter0.1.9-lp156.12.1An Easy Text and Sentiment Analysis Library
R-textfeatures0.3.3-lp156.12.1Extracts Features from Text
R-textgRid1.0.1-lp156.2.1Praat TextGrid Objects in R
R-textile0.1.4-lp156.1.1Textile Images
R-textir2.0.5-lp156.2.1Inverse Regression for Text Analysis
R-TextMiningGUI0.3-lp156.14.1Text Mining GUI Interface
R-textometry0.1.6-lp156.1.1Textual Data Analysis Package Used by the TXM Software
R-textplot0.2.2-lp156.1.1Text Plots
R-textrank0.3.1-lp156.7.1Summarize Text by Ranking Sentences and Finding Keywords
R-textrar0.8.0-lp156.2.1Interface to \'TexTra\' from R
R-textshape1.7.5-lp156.2.1Tools for Reshaping Text
R-textTools0.1.0-lp156.1.1Functions for Text Cleansing and Text Analysis
R-textutils0.4.1-lp156.2.1Utilities for Handling Strings and Text
R-tf0.3.4-lp156.1.1S3 Classes and Methods for Tidy Functional Data
R-tfaddons0.10.0-lp156.13.1Interface to \'TensorFlow SIG Addons\'
R-tfautograph0.3.2-lp156.4.1Autograph R for \'Tensorflow\'
R-tfdeploy0.6.1-lp156.17.1Deploy \'TensorFlow\' Models
R-tfer1.3-lp156.2.1Forensic Glass Transfer Probabilities
R-tfestimators1.9.2-lp156.13.1Interface to \'TensorFlow\' Estimators
R-tfhub0.8.1-lp156.9.1Interface to \'TensorFlow\' Hub
R-tfio0.4.1-lp156.16.1Interface to \'TensorFlow IO\'
R-tfNeuralODE0.1.0-lp156.1.1Create Neural Ordinary Differential Equations with \'tensorf
R-tfplot2021.6.1-lp156.1.1Time Frame User Utilities
R-tfprobability0.15.1-lp156.6.1Interface to \'TensorFlow Probability\'
R-tframe2015.12.1.1-lp156.2.1Time Frame coding kernel
R-tframePlus2024.2.1-lp156.1.1Time Frame Coding Kernel Extensions
R-tfruns1.5.3-lp156.2.1Training Run Tools for \'TensorFlow\'
R-tfse0.5.0-lp156.2.1Tools for Script Editing
R-TFunHDDC1.0.1-lp156.4.1Clustering of Functional Data via Mixtures of t-Distribution
R-TFX0.1.0-lp156.3.1R API to TrueFX(tm)
R-tgamtheme0.1.0-lp156.10.1Globe and Mail Graphics Theme for \'ggplot2\'
R-tgcd2.7-lp156.1.1Thermoluminescence Glow Curve Deconvolution
R-tggd0.1.1-lp156.2.1The Standard Distribution Functions for the Truncated Genera
R-tgram0.2.3-lp156.2.1Compute and Plot Tracheidograms
R-tgstat2.3.27-lp156.1.1Amos Tanay\'s Group High Performance Statistical Utilities
R-TH.data1.1.2-lp156.1.1TH\'s Data Archive
R-thankr1.0.0-lp156.2.1Find Out Who Maintains the Packages you Use
R-ThankYouStars0.2.0-lp156.2.1Give your Dependencies Stars on GitHub!
R-theiaR0.4.0-lp156.6.1Download and Manage Data from Theia
R-TheOpenAIR0.1.0-lp156.3.1Integrate \'OpenAI\' Large Language Models into Your \'R\' W
R-ThermIndex0.2.0-lp156.2.1Calculate Thermal Indexes
R-Thermistor1.1.0-lp156.2.1The Simulation of the Thermistor Network
R-thermocouple1.0.2-lp156.2.1Temperature Measurement with Thermocouples, RTD and IC Senso
R-TheSFACE0.1.0-lp156.8.1The Subtype Free Average Causal Effect
R-thestats0.1.0-lp156.6.1R Package for Exploring Turkish Higher Education Statistics
R-thgenetics0.4.2-lp156.2.1Genetic Rare Variants Tests
R-thickmatch0.3.1-lp156.2.1Threshold Matching for Thick Description for Optimal Matchin
R-Thinknum1.3.0-lp156.3.1Thinknum Data Connection
R-THREC1.0.0-lp156.2.1Tree Height Response Calibration for Swedish Forests
R-thredds0.1.4-lp156.2.1Crawler for Navigating THREDDS Catalogs
R-ThreeArmedTrials1.0.4-lp156.2.1Design and Analysis of Clinical Non-Inferiority or Superiori
R-threeboost1.1-lp156.2.1Thresholded variable selection and prediction based on estim
R-ThreeGroups0.21-lp156.2.1ML Estimator for Baseline-Placebo-Treatment (Three-Group) Ex
R-threesixtygiving0.2.2-lp156.18.1Download Charitable Grants from the \'360Giving\' Platform
R-ThreeWay1.1.3-lp156.2.1Three-Way Component Analysis
R-ThreeWiseMonkeys0.1.0-lp156.7.1The Japanese Pictorial Maxim \"See No Evil, Hear No Evil, Sp
R-threewords0.1.0-lp156.2.1Represent Precise Coordinates in Three Words
R-threg1.0.3-lp156.2.1Threshold Regression
R-thregI1.0.4-lp156.2.1Threshold Regression for Interval-Censored Data with a Cure
R-ThresholdROC2.9.4-lp156.2.1Optimum Threshold Estimation
R-thriftr1.1.7-lp156.3.1Apache Thrift Client Server
R-thsls0.1-lp156.2.1Three-Stage Least Squares Estimation for Systems of Simultan
R-ThurMod1.1.11-lp156.1.1Thurstonian CFA and Thurstonian IRT Modeling
R-tibble3.2.1-lp156.1.1Simple Data Frames
R-tibblify0.3.1-lp156.1.1Rectangle Nested Lists
R-tibbrConnector1.5.1-lp156.2.1R Interface to TIBCO \'tibbr\'
R-TickExec1.1-lp156.2.1Execution Functions for Tick Data Back Test
R-tictactoe0.2.2-lp156.2.1Tic-Tac-Toe Game
R-tictoc1.2.1-lp156.2.1Functions for Timing R Scripts, as Well as Implementations o
R-TiddlyWikiR1.0.1-lp156.2.1Create dynamic reports using a TiddlyWiki template.
R-TideCurves0.0.5-lp156.9.1Analysis and Prediction of Tides
R-TideHarmonics0.1.1-lp156.2.1Harmonic Analysis of Tides
R-Tides2.1-lp156.2.1Quasi-Periodic Time Series Characteristics
R-TideTables0.0.3-lp156.2.1Tide Analysis and Prediction of Predominantly Semi-Diurnal T
R-tidier0.2.0-lp156.2.1Enhanced \'mutate\'
R-tidybins0.1.0-lp156.16.1Make Tidy Bins
R-tidyboot0.1.1-lp156.19.1Tidyverse-Compatible Bootstrapping
R-tidycat0.1.2-lp156.8.1Expand Tidy Output for Categorical Parameter Estimates
R-tidycode0.1.1-lp156.15.1Analyze Lines of R Code the Tidy Way
R-tidyCpp0.0.7-lp156.1.1Tidy C++ Header-Only Definitions for Parts of the C API of R
R-tidyDenovix2.1.0-lp156.1.1Cleans Spectrophotometry Data Obtained from the Denovix DS-1
R-tidydice1.0.0-lp156.2.1Simulates Dice Rolls and Coin Flips
R-tidyDisasters0.1.1-lp156.1.1Disaster Data Set Including FEMA, EMDAT and GTD Information
R-tidyedgar1.0.1-lp156.1.1Tidy Fundamental Financial Data from \'SEC\'s \'EDGAR\' \'AP
R-tidyEmoji0.1.1-lp156.2.1Discovers Emoji from Text
R-tidyestimate1.1.1-lp156.1.1A Tidy Implementation of \'ESTIMATE\'
R-tidyfast0.4.0-lp156.1.1Fast Tidying of Data
R-tidyfast-devel0.4.0-lp156.1.1Development files for tidyfast
R-tidyformula0.1.0-lp156.1.1Build Formulas Using Tidy Selection Helpers
R-tidygam0.2.0-lp156.2.1Tidy Prediction and Plotting of Generalised Additive Models
R-tidygapminder0.1.1-lp156.18.1Easily Tidy Gapminder Datasets
R-tidygate0.4.10-lp156.1.1Add Gate Information to Your Tibble
R-tidygeocoder1.0.5-lp156.9.1Geocoding Made Easy
R-tidygeoRSS0.0.1-lp156.20.1Tidy GeoRSS
R-tidyheatmaps0.2.1-lp156.2.1Heatmaps from Tidy Data
R-tidyhte1.0.2-lp156.2.1Tidy Estimation of Heterogeneous Treatment Effects
R-tidyindex0.1.0-lp156.2.1A Tidy Data Pipeline to Construct, Compare, and Analyse Inde
R-tidyjson0.3.2-lp156.4.1Tidy Complex \'JSON\'
R-tidylab4.1.1-lp156.4.1Shared Infrastructure of \'Tidylab\' Package Collection
R-tidylo0.2.0-lp156.5.1Weighted Tidy Log Odds Ratio
R-tidylog1.1.0-lp156.2.1Logging for \'dplyr\' and \'tidyr\' Functions
R-TidyMultiqc1.0.3-lp156.6.1Converts \'MultiQC\' Reports into Tidy Data Frames
R-tidymv3.4.2-lp156.2.1Tidy Model Visualisation for Generalised Additive Models
R-tidyndr0.2.1-lp156.2.1Analysis of the Nigeria National Data Repository (NDR)
R-tidypaleo0.1.3-lp156.4.1Tidy Tools for Paleoenvironmental Archives
R-tidyplus0.0.2-lp156.5.1Additional \'tidyverse\' Functions
R-tidyquery0.2.4-lp156.3.1Query \'R\' Data Frames with \'SQL\'
R-tidyqwi0.1.2-lp156.21.1A Convenient API for Accessing United States Census Bureau\'
R-tidyrates0.0.1-lp156.2.1Tidy Epidemiological Rates
R-tidyRSS2.0.7-lp156.1.1Tidy RSS for R
R-tidyrules0.1.5-lp156.12.1Obtain Rules from Rule Based Models as Tidy Dataframe
R-tidyselect1.2.1-lp156.2.1Select from a Set of Strings
R-tidysmd0.2.0-lp156.2.1Tidy Standardized Mean Differences
R-tidystopwords0.9.1-lp156.7.1Customisable Stop-Words in 110 Languages
R-tidystringdist0.1.4-lp156.11.1String Distance Calculation with Tidy Data Principles
R-tidysynth0.2.0-lp156.7.1A Tidy Implementation of the Synthetic Control Method
R-tidytags1.1.1-lp156.5.1Importing and Analyzing \'Twitter\' Data Collected with \'Tw
R-tidyterra0.6.1-lp156.1.1\'tidyverse\' Methods and \'ggplot2\' Helpers for \'terra\'
R-tidytext0.4.2-lp156.2.1Text Mining using \'dplyr\', \'ggplot2\', and Other Tidy Too
R-tidytidbits0.3.2-lp156.6.1A Collection of Tools and Helpers Extending the Tidyverse
R-tidytreatment0.2.2-lp156.12.1Tidy Methods for Bayesian Treatment Effect Models
R-tiff0.1.12-lp156.1.1Read and write TIFF images
R-tiger0.2.3.1-lp156.15.1TIme series of Grouped ERrors
R-TIGERr1.0.0-lp156.1.1Technical Variation Elimination with Ensemble Learning Archi
R-tigers0.1.3-lp156.1.1Integration of Geography, Environment, and Remote Sensing
R-tigerstats0.3.2-lp156.23.1R Functions for Elementary Statistics
R-tigger1.0.0-lp156.3.1Infers Novel Immunoglobulin Alleles from Sequencing Data
R-tightClust1.1-lp156.2.1Tight Clustering
R-tightenBlock0.1.7-lp156.1.1Tightens an Observational Block Design by Balanced Subset Ma
R-tigreBrowserWriter0.1.5-lp156.9.1\'tigreBrowser\' Database Writer
R-tiktokadsR0.1.0-lp156.1.1Access to TikTok Ads via the \'Windsor.ai\' API
R-tikzDevice0.12.6-lp156.1.1R Graphics Output in LaTeX Format
R-TileManager0.4.1-lp156.1.1Tile Manager
R-tilemaps0.2.0-lp156.10.1Generate Tile Maps
R-tiler0.3.1-lp156.2.1Create Geographic and Non-Geographic Map Tiles
R-tilting1.1.1-lp156.2.1Variable Selection via Tilted Correlation Screening Algorith
R-timbeR2.0.1-lp156.10.1Calculate Wood Volumes from Taper Functions
R-timbr0.2.2-lp156.2.1Forest/Tree Data Frames
R-time.slots0.2.0-lp156.11.1Display Data in a Weekly Calendar View
R-timedelay1.0.11-lp156.2.1Time Delay Estimation for Stochastic Time Series of Gravitat
R-timedeppar1.0.3-lp156.1.1Infer Constant and Stochastic, Time-Dependent Model Paramete
R-timeline0.9-lp156.9.1Timelines for a Grammar of Graphics
R-timelineR1.0.0-lp156.14.1Visualization for Time Series Data
R-timelineS0.1.1-lp156.19.1Timeline and Time Duration-Related Tools
R-timeperiodsR0.7.3-lp156.1.1Simple Definition Of Time Intervals
R-TimeProjection0.2.0-lp156.3.1Time Projections
R-timeR1.2.0-lp156.7.1Time Your Codes
R-timesboot1.0-lp156.2.1Bootstrap computations for time series objects
R-timeSeq1.0.4-lp156.7.1Detecting Differentially Expressed Genes in Time Course RNA-
R-TimeSeries.OBeu1.2.4-lp156.13.1Time Series Analysis \'OpenBudgets.eu\'
R-timetools1.15.3-lp156.1.1Seasonal/Sequential (Instants/Durations, Even or not) Time S
R-timetree1.0-lp156.4.1Interface to the TimeTree of Life Webpage
R-TimeVarConcurrentModel1.0-lp156.7.1Concurrent Multivariate Models with Time-Varying Coefficient
R-timevarcorr0.1.1-lp156.1.1Time Varying Correlation
R-TimeVTree0.3.1-lp156.2.1Survival Analysis of Time Varying Coefficients Using a Tree-
R-TimeWarp1.0.15-lp156.2.1Date Calculations and Manipulation
R-TIMP1.13.6-lp156.5.1Fitting Separable Nonlinear Models in Spectroscopy and Micro
R-timsac1.3.8.4-lp156.1.1TIMe Series Analysis and Control package
R-timsr0.0.3-lp156.5.1Easily Access timsTOF Data
R-Tinflex2.4-lp156.1.1A Universal Non-Uniform Random Number Generator
R-TInPosition0.13.6.1-lp156.2.1Inference Tests for TExPosition
R-tinsel0.0.1-lp156.2.1Transform Functions using Decorators
R-tinter0.1.0-lp156.4.1Generate a Monochromatic Palette
R-tinylabels0.2.4-lp156.1.1Lightweight Variable Labels
R-tinyProject0.6.1-lp156.2.1A Lightweight Template for Data Analysis Projects
R-tinyscholar0.1.7-lp156.5.1Get and Show Personal \'Google Scholar\' Profile
R-tinyspotifyr0.2.2-lp156.1.1Tinyverse R Wrapper for the \'Spotify\' Web API
R-tinytest1.4.1-lp156.1.1Lightweight and Feature Complete Unit Testing Framework
R-tinytest2JUnit1.1.2-lp156.2.1Convert \'tinytest\' Output to JUnit XML
R-tinythemes0.0.2-lp156.2.1Lightweight Repackaging of \'Themes\' for \'ggplot2\'
R-tipa1.0.8-lp156.5.1Tau-Independent Phase Analysis for Circadian Time-Course Dat
R-tipom1.0.2.1-lp156.2.1Automated measure-based classification for flint tools
R-TippingPoint1.2.0-lp156.5.1Enhanced Tipping Point Displays the Results of Sensitivity A
R-tipr1.0.2-lp156.1.1Tipping Point Analyses
R-tis1.39-lp156.1.1Time Indexes and Time Indexed Series
R-TITAN22.4.3-lp156.1.1Threshold Indicator Taxa Analysis
R-titanic0.1.0-lp156.2.1Titanic Passenger Survival Data Set
R-TITEgBOIN0.3.0-lp156.1.1Time-to-Event Dose-Finding Design for Multiple Toxicity Grad
R-titrationCurves0.1.0-lp156.2.1Acid/Base, Complexation, Redox, and Precipitation Titration
R-tkRplotR0.1.7-lp156.1.1Display Resizable Plots
R-tLagInterim1.0-lp156.1.1Interim Monitoring of Clinical Trials with Time-Lagged Outco
R-tLagPropOdds1.9-lp156.1.1Proportional Odds Model with Censored, Time-Lagged Categoric
R-TLBC1.0-lp156.13.1Two-Level Behavior Classification
R-TLCAR0.1.0-lp156.1.1Computation of Topp-Leone Cauchy Rayleigh (TLCAR ) distribut
R-tldr0.4.0-lp156.3.1T Loux Doing R: Functions to Simplify Data Analysis and Repo
R-tlemix0.1.3-lp156.2.1Trimmed Maximum Likelihood Estimation
R-tlm0.1.5-lp156.1.1Effects under Linear, Logistic and Poisson Regression Models
R-tlmec0.0.2-lp156.2.1Linear Student-t Mixed-Effects Models with Censored Data
R-tls0.1.0-lp156.2.1Tools of Total Least Squares in Error-in-Variables Models
R-tlsh0.1.0-lp156.3.1Transitive Locality-Sensitive Hashing (LSH) for Record Linka
R-tm.plugin.alceste1.1.1-lp156.2.1Import Texts from Files in the \'Alceste\' Format Using the
R-tm.plugin.dc0.2.10-lp156.4.1Text Mining Distributed Corpus Plug-in
R-tm.plugin.europresse1.4-lp156.5.1Import Articles from \'Europresse\' Using the \'tm\' Text Mi
R-tm.plugin.factiva1.8-lp156.12.1Import Articles from \'Factiva\' Using the \'tm\' Text Minin
R-tm.plugin.koRpus0.4.2-lp156.3.1Full Corpus Support for the \'koRpus\' Package
R-tm.plugin.lexisnexis1.4.1-lp156.4.1Import Articles from \'LexisNexis\' Using the \'tm\' Text Mi
R-tm1r1.1.8-lp156.2.1The Integration Between \'IBM COGNOS TM1\' and R
R-TmCalculator1.0.3-lp156.1.1Melting Temperature of Nucleic Acid Sequences
R-tmcn0.2.13-lp156.2.1A Text Mining Toolkit for Chinese
R-TMDb1.1-lp156.6.1Access to TMDb API
R-tmhmm1.3-lp156.6.1Interface to TMHMM
R-Tmisc1.0.1-lp156.1.1Turner Miscellaneous
R-tmle.npvi0.10.0-lp156.2.1Targeted Learning of a NP Importance of a Continuous Exposur
R-tmod0.50.13-lp156.2.1Feature Set Enrichment Analysis for Metabolomics and Transcr
R-tmplate0.0.3-lp156.1.1Code Generation Based on Templates
R-tmpm1.0.3-lp156.7.1Trauma Mortality Prediction Model
R-tmuxr0.2.4-lp156.2.1Manage \'tmux\' Sessions, Windows, and Panes
R-tmvmixnorm1.1.1-lp156.2.1Sampling from Truncated Multivariate Normal and t Distributi
R-tmvnsim1.0.2-lp156.2.1Truncated Multivariate Normal Simulation
R-tmvtnorm1.6-lp156.1.1Truncated Multivariate Normal and Student t Distribution
R-TNC0.1.0-lp156.2.1Temporal Network Centrality (TNC) Measures
R-tnet3.0.16-lp156.7.1Weighted, Two-Mode, and Longitudinal Networks Analysis
R-tnl.Test0.1.0-lp156.1.1Non-Parametric Tests for the Two-Sample Problem
R-TNRS0.3.6-lp156.2.1Taxonomic Name Resolution Service
R-tobit10.1.3-lp156.1.1One Equation Tobit Model
R-TOC0.0.6-lp156.2.1Total Operating Characteristic Curve and ROC Curve
R-todor0.1.2-lp156.5.1Find All TODO Comments and More
R-toolbox0.1.1-lp156.1.1List, String, and Meta Programming Utility Functions
R-toolmaRk0.0.1-lp156.18.1Tests for Same-Source of Toolmarks
R-toolStability0.1.2-lp156.1.1Tool for Stability Indices Calculation
R-TopDom0.10.1-lp156.7.1An Efficient and Deterministic Method for Identifying Topolo
R-topdowntimeratio0.1.0-lp156.4.1Top-Down Time Ratio Segmentation for Coordinate Trajectories
R-topicmodels.etm0.1.0-lp156.5.1Topic Modelling in Embedding Spaces
R-TopKSignal1.0-lp156.2.1A Convex Optimization Tool for Signal Reconstruction from Mu
R-topmodel0.7.5-lp156.1.1Implementation of the Hydrological Model TOPMODEL in R
R-toposort1.0.0-lp156.1.1Topological Sorting Algorithms
R-topr2.0.2-lp156.1.1Create Custom Plots for Viewing Genetic Association Results
R-toprdata1.0.2-lp156.1.1Gene and Exon Data from Ensembl
R-topsis1.0-lp156.2.1TOPSIS method for multiple-criteria decision making (MCDM)
R-TopSisWM1.0.2-lp156.1.1Multi-Criteria Method for Decision (TOPSIS)
R-torchopt0.1.4-lp156.3.1Advanced Optimizers for Torch
R-torchvision0.6.0-lp156.1.1Models, Datasets and Transformations for Images
R-TORDs1.0.0-lp156.1.1Third Order Rotatable Designs (TORDs)
R-tornado0.1.3-lp156.1.1Plots for Model Sensitivity and Variable Importance
R-toRvik1.1.1-lp156.1.1Extensive and Tidy NCAA Men\'s College Basketball Data
R-toscmask1.2.3-lp156.1.1Improved Versions of Base Functions
R-tosls1.0-lp156.2.1Instrumental Variables Two Stage Least Squares estimation
R-totalcensus0.6.6-lp156.6.1Extract Decennial Census and American Community Survey Data
R-TotalCopheneticIndex2.0.1-lp156.7.1Quantify the Balance of Phylogenetic Trees
R-TOU0.1.0-lp156.5.1Transformed Ornstein-Uhlenbeck Model for Adsorption Kinetics
R-touchard2.0.1-lp156.2.1Touchard Model and Regression
R-TouRnament0.2.5-lp156.2.1Tools for Sports Competitions
R-tourr1.2.0-lp156.2.1Tour Methods for Multivariate Data Visualisation
R-ToxCrit1.0-lp156.1.1Calculates Safety Stopping Boundaries for a Single-Arm Trial
R-toxtestD2.0-lp156.2.1Experimental design for binary toxicity tests
R-TP.idm1.5.1-lp156.1.1Estimation of Transition Probabilities for the Illness-Death
R-TPAC0.2.0-lp156.1.1Tissue-Adjusted Pathway Analysis of Cancer (TPAC)
R-TPACData0.1.0-lp156.1.1Human Protein Atlas Data for Tissue-Adjusted Pathway Analysi
R-tpAUC2.1.1-lp156.3.1Estimation and Inference of Two-Way pAUC, pAUC and pODC
R-TPD1.1.0-lp156.17.1Methods for Measuring Functional Diversity Based on Trait Pr
R-tpe1.0.1-lp156.2.1Tree preserving embedding
R-TPES1.0.0-lp156.2.1Tumor Purity Estimation using SNVs
R-Tplyr1.2.1-lp156.1.1A Traceability Focused Grammar of Clinical Data Summary
R-tpm2.0.2-lp156.2.1FHWA TPM Score Calculation Functions
R-TPmsm1.2.12-lp156.1.1Estimation of Transition Probabilities in Multistate Models
R-tpn1.8-lp156.1.1Truncated Positive Normal Model and Extensions
R-tpwb0.1.0-lp156.2.1The Three Parameter Weibull Distribution
R-tqk0.1.8-lp156.1.1Get Financial Data in Korea
R-tr.iatgen1.0.0-lp156.3.1Translate \'iatgen\' Generated QSF Files
R-tracenma0.1.0-lp156.2.1Database for Developing Transitivity Methodology in Network
R-tracer1.0.0-lp156.2.1Slick Call Stacks
R-tracheideR0.1.1-lp156.2.1Standardize Tracheidograms
R-track1.1.9-lp156.2.1Store Objects on Disk Automatically
R-TrackReconstruction1.3-lp156.9.1Reconstruct Animal Tracks from Magnetometer, Accelerometer,
R-tractor.base3.4.2-lp156.1.1Read, Manipulate and Visualise Magnetic Resonance Images
R-trade0.8.1-lp156.1.1Tools for Trade Practitioners
R-TRADER1.2.4-lp156.2.1Tree Ring Analysis of Disturbance Events in R
R-Trading3.0-lp156.1.1CCR, Advanced Correlation & Beta Estimates, Betting Strategi
R-trafo1.0.1-lp156.9.1Estimation, Comparison and Selection of Transformations
R-trainR0.0.1-lp156.19.1An Interface to the National Rail Enquiries Systems
R-trainsplit1.1-lp156.2.1Split a Dataframe, Tibble, or Data.table into Training and T
R-traipse0.3.0-lp156.3.1Shared Tools for Tracking Data
R-traitstrap0.1.0-lp156.2.1Bootstrap Trait Values to Calculate Moments
R-trajr1.5.1-lp156.1.1Animal Trajectory Analysis
R-TraMineR2.2.10-lp156.2.1Trajectory Miner: a Sequence Analysis Toolkit
R-trampoline0.1.1-lp156.2.1Make Functions that Can Recurse Infinitely
R-TRAMPR1.0.10-lp156.1.1\'TRFLP\' Analysis and Matching Package for R
R-transcribeR0.0.0-lp156.2.1Automated Transcription of Audio Files Through the HP IDOL A
R-Transform1.0-lp156.1.1Statistical Transformations
R-transform.hazards0.1.1-lp156.1.1Transforms Cumulative Hazards to Parameter Specified by ODE
R-transformer0.2.0-lp156.1.1Implementation of Transformer Deep Neural Network with Vigne
R-transformmos0.1.0-lp156.2.1Transform MOS Values to be Robust for using Rank Based Stati
R-translate0.1.2-lp156.3.1Bindings for the Google Translate API v2
R-translate.logit1.0-lp156.1.1Translation of Logit Regression Coefficients into Percentage
R-translated0.1.1-lp156.1.1Simple and Robust Translation System
R-translateR1.0-lp156.3.1Bindings for the Google and Microsoft Translation APIs
R-translation.ko0.0.1.5.2-lp156.2.1R Manuals Literally Translated in Korean
R-transmem0.1.1-lp156.20.1Treatment of Membrane-Transport Data
R-TransModel2.3-lp156.1.1Fit Linear Transformation Models for Right Censored Data
R-TransP0.1-lp156.2.1Implementation of Transportation Problem Algorithms
R-transplantr0.2.0-lp156.2.1Audit and Research Functions for Transplantation
R-tranSurv1.2.2-lp156.2.1Transformation Model Based Estimation of Survival and Regres
R-transx0.0.1-lp156.4.1Transform Univariate Time Series
R-trapezoid2.0.2-lp156.1.1The Trapezoidal Distribution
R-Tratamentos.ad0.2.4-lp156.1.1Pacote Para Analise De Experimentos Com Testemunhas Adiciona
R-traudem1.0.3-lp156.2.1Use TauDEM
R-TRD1.1-lp156.2.1Transmission Ratio Distortion
R-treasuryTR0.1.6-lp156.2.1Generate Treasury Total Returns from Yield Data
R-TreatmentSelection2.1.1-lp156.14.1Evaluate Treatment Selection Biomarkers
R-tree1.0.43-lp156.1.1Classification and regression trees
R-treebalance1.2.0-lp156.1.1Computation of Tree (Im)Balance Indices
R-treebase0.1.5-lp156.1.1Discovery, Access and Manipulation of \'TreeBASE\' Phylogeni
R-treeClust1.1.7-lp156.2.1Cluster Distances Through Trees
R-treecm1.2.2-lp156.3.1Centre of Mass Assessment and Consolidation of Trees
R-treedata.table0.1.0-lp156.18.1Manipulation of Matched Phylogenies and Data using \'data.ta
R-treedater0.5.0-lp156.4.1Fast Molecular Clock Dating of Phylogenetic Trees with Rate
R-TreeDep0.1.3-lp156.17.1Air Pollution Removal by Dry Deposition on Trees
R-TreeDiagram0.1.1-lp156.10.1Tree Diagram
R-treefit1.0.2-lp156.8.1The First Software for Quantitative Trajectory Inference
R-treeheatr0.2.1-lp156.18.1Heatmap-Integrated Decision Tree Visualizations
R-treelet1.1-lp156.2.1An Adaptive Multi-Scale Basis for High-Dimensional, Sparse a
R-treeman1.1.4-lp156.5.1Phylogenetic Tree Manipulation Class and Methods
R-treemap2.4.4-lp156.5.1Treemap Visualization
R-treemapify2.5.6-lp156.2.1Draw Treemaps in \'ggplot2\'
R-TreePar3.3-lp156.5.1Estimating birth and death rates based on phylogenies
R-TreeSim2.4-lp156.18.1Simulating Phylogenetic Trees
R-TreeSimGM2.5-lp156.18.1Simulating Phylogenetic Trees under General Bellman Harris a
R-treestartr0.1.0-lp156.18.1Generate Starting Trees for Combined Molecular, Morphologica
R-trelloR0.8.0-lp156.1.1Access the Trello API
R-tremendousr1.0.0-lp156.3.1Easily Send Rewards and Incentives with \'Tremendous\' from
R-trend1.1.6-lp156.1.1Non-Parametric Trend Tests and Change-Point Detection
R-trendchange1.2-lp156.1.1Innovative Trend Analysis and Time-Series Change Point Analy
R-TrendLSW1.0.2-lp156.2.1Wavelet Methods for Analysing Locally Stationary Time Series
R-trendsegmentR1.3.0-lp156.1.1Linear Trend Segmentation
R-TrendSLR1.0-lp156.21.1Estimating Trend, Velocity and Acceleration from Sea Level R
R-TrendTM2.0.19-lp156.2.1Trend of High-Dimensional Time Series Matrix Estimation
R-Trendtwosub0.0.2-lp156.8.1Two Sample Order Free Trend Nonparametric Inference
R-trendyy0.1.1-lp156.18.1A Tidy Wrapper Around \'gtrendsR\'
R-TRES1.1.5-lp156.2.1Tensor Regression with Envelope Structure
R-Tri.Hierarchical.IBDs1.0.0-lp156.1.1Tri-Hierarchical IBDs (Tri- Hierarchical Incomplete Block De
R-triact0.3.0-lp156.1.1Analyzing the Lying Behavior of Cows from Accelerometer Data
R-TrialSize1.4-lp156.2.1R Functions for Chapter 3,4,6,7,9,10,11,12,14,15 of Sample S
R-triangle1.0-lp156.2.1Distribution Functions and Parameter Estimates for the Trian
R-triangulation0.5.0-lp156.2.1Determine Position of Observer
R-tribe0.1.8-lp156.13.1Play with the Tribe of Attributes
R-tricolore1.2.4-lp156.2.1A Flexible Color Scale for Ternary Compositions
R-triggerstrategy1.2.0-lp156.1.1Trigger Strategy in Clinical Trials
R-trimcluster0.1.5-lp156.2.1Cluster analysis with trimming
R-trimetStops0.1.0-lp156.2.1Information on all of the TriMet Stops in the Portland Metro
R-trimmer0.8.1-lp156.11.1Trim an Object
R-trimr1.1.1-lp156.5.1An Implementation of Common Response Time Trimming Methods
R-trimTrees1.2-lp156.2.1Trimmed opinion pools of trees in a random forest
R-trioGxE0.1.1-lp156.3.1A data smoothing approach to explore and test gene-environme
R-TrioSGL1.1.0-lp156.2.1Trio Model with a Combination of Lasso and Group Lasso Regul
R-tripack1.3.9.1-lp156.2.1Triangulation of irregularly spaced data
R-tripEstimation0.0.44-lp156.2.1Metropolis Sampler and Supporting Functions for Estimating A
R-TripleR1.5.4-lp156.7.1Social Relation Model (SRM) Analyses for Single or Multiple
R-tripsAndDipR0.1.0-lp156.2.1Identification of 2n and 3n Samples from Amplicon Sequencing
R-triversity1.0-lp156.6.1Diversity Measures on Tripartite Graphs
R-TRMF0.2.1-lp156.1.1Temporally Regularized Matrix Factorization
R-tRnslate0.0.3-lp156.1.1Translate R Code in Source Files
R-tropAlgebra0.1.1-lp156.2.1Tropical Algebraic Functions
R-tropicalSparse0.1.0-lp156.2.1Sparse Tropical Algebra
R-trotter0.6-lp156.2.1Pseudo-Vectors Containing All Permutations, Combinations and
R-TroublemakeR0.0.1-lp156.2.1Generates Spatial Problems in R for \'AMPL\'
R-TrtCombo.FactorialExp.SR4.0.4-lp156.1.1Generation of Treatment Combination (in Standard Order) in 2
R-truelies0.2.0-lp156.17.1Bayesian Methods to Estimate the Proportion of Liars in Coin
R-trueskill0.1-lp156.2.1Implementation the TrueSkill algorithm in R
R-TrueSkillThroughTime0.1.1-lp156.1.1Skill Estimation Based on a Single Bayesian Network
R-TrumpetPlots0.0.1.1-lp156.1.1Visualization of Genetic Association Studies
R-truncdist1.0.2-lp156.2.1Truncated Random Variables
R-TruncExpFam1.1.1-lp156.1.1Truncated Exponential Family
R-truncgof0.6.0-lp156.2.1GoF tests allowing for left truncated data
R-truncnorm1.0.9-lp156.1.1Truncated Normal Distribution
R-truncreg0.2.5-lp156.3.1Truncated Gaussian Regression Models
R-truncSP1.2.2-lp156.3.1Semi-parametric estimators of truncated regression models
R-trundler0.1.19-lp156.5.1Historical Retail Data from the \'Trundler\' API
R-trust0.1.8-lp156.2.1Trust Region Optimization
R-trustedtimestamping0.2.6-lp156.3.1Create Trusted Timestamps of Datasets and Files
R-tryCatchLog1.3.1-lp156.1.1Advanced \'tryCatch()\' and \'try()\' Functions
R-tryr0.1.1-lp156.2.1Client/Server Error Handling for HTTP API Frameworks
R-ts.extend0.1.1-lp156.2.1Stationary Gaussian ARMA Processes and Other Time-Series Uti
R-ts2net0.1.0-lp156.7.1From Time Series to Networks
R-TSA1.3.1-lp156.3.1Time Series Analysis
R-tsallisqexp0.9.4-lp156.1.1Tsallis q-Exp Distribution
R-TSANN0.1.0-lp156.9.1Time Series Artificial Neural Network
R-tsbox0.4.1-lp156.1.1Class-Agnostic Time Series
R-tsc1.0.3-lp156.2.1Likelihood-ratio Tests for Two-Sample Comparisons
R-TScompare2015.4.1-lp156.2.1\'TSdbi\' Database Comparison
R-tscount1.4.3-lp156.2.1Analysis of Count Time Series
R-TSdata2016.8.1-lp156.2.1\'TSdbi\' Illustration
R-tsdataleaks2.1.1-lp156.1.1Exploit Data Leakages in Time Series Forecasting Competition
R-tsdb1.1.0-lp156.1.1Terribly-Simple Data Base for Time Series
R-TSdbi2017.4.1-lp156.2.1Time Series Database Interface
R-tsdecomp0.2-lp156.2.1Decomposition of Time Series Data
R-tsdf1.1.8-lp156.2.1Two-/Three-Stage Designs for Phase 1&2 Clinical Trials
R-tsdisagg20.1.0-lp156.2.1Time Series Disaggregation
R-TSdisaggregation2.0.0-lp156.1.1High-Dimensional Temporal Disaggregation
R-TSDT1.0.7-lp156.1.1Treatment-Specific Subgroup Detection Tool
R-tsDyn11.0.4.1-lp156.2.1Nonlinear Time Series Models with Regime Switching
R-TSE0.1.0-lp156.2.1Total Survey Error
R-TSEind0.1.0-lp156.2.1Total Survey Error (Independent Samples)
R-tsentiment1.0.5-lp156.6.1Fetching Tweet Data for Sentiment Analysis
R-TSEntropies0.9-lp156.2.1Time Series Entropies
R-tseriesChaos0.1.13.1-lp156.2.1Analysis of Nonlinear Time Series
R-tseriesEntropy0.7.2-lp156.2.1Entropy Based Analysis and Tests for Time Series
R-TSeriesMMA0.1.1-lp156.2.1Multiscale Multifractal Analysis of Time Series Data
R-TSEtools0.2.2-lp156.1.1Manage Data from Stock Exchange Markets
R-TSEwgt0.1.0-lp156.2.1Total Survey Error Under Multiple, Different Weighting Schem
R-TSF0.1.1-lp156.16.1Two Stage Forecasting (TSF) for Long Memory Time Series in P
R-tsfa2021.1.3-lp156.1.1Time Series Factor Analysis
R-TSfame2015.4.1-lp156.2.1\'TSdbi\' Extensions for Fame
R-tsfeatures1.1.1-lp156.2.1Time Series Feature Extraction
R-tsfngm0.1.0-lp156.1.1Time Series Forecasting using Nonlinear Growth Models
R-TSHRC0.1.6-lp156.2.1Two Stage Hazard Rate Comparison
R-tsibbledata0.4.1-lp156.5.1Diverse Datasets for \'tsibble\'
R-tsiR0.4.3-lp156.12.1An Implementation of the TSIR Model
R-tsLSTMx0.1.0-lp156.1.1Predict Time Series Using LSTM Model Including Exogenous Var
R-TSMCP1.0-lp156.2.1Fast Two Stage Multiple Change Point Detection
R-TSMining1.0-lp156.9.1Mining Univariate and Multivariate Motifs in Time-Series Dat
R-TSMN1.0.0-lp156.2.1Truncated Scale Mixtures of Normal Distributions
R-tsna0.3.5-lp156.6.1Tools for Temporal Social Network Analysis
R-tsne0.1.3.1-lp156.1.1T-Distributed Stochastic Neighbor Embedding for R (t-SNE)
R-TSodbc2015.4.1-lp156.1.1\'TSdbi\' Extensions for ODBC
R-tsoutliers0.6.10-lp156.2.1Detection of Outliers in Time Series
R-TSP1.2.4-lp156.1.1Traveling Salesperson Problem (TSP)
R-tsPI1.0.4-lp156.1.1Improved Prediction Intervals for ARIMA Processes and Struct
R-tspmeta1.2-lp156.11.1Instance Feature Calculation and Evolutionary Instance Gener
R-TSPred5.1-lp156.4.1Functions for Benchmarking Time Series Prediction
R-tsqn1.0.0-lp156.2.1Applications of the Qn Estimator to Time Series (Univariate
R-tsriadditive1.0.0-lp156.2.1Two Stage Residual Inclusion Additive Hazards Estimator
R-TSS.RESTREND0.3.1-lp156.19.1Time Series Segmentation of Residual Trends
R-tsSelect0.1.8-lp156.16.1Execution of Time Series Models
R-TSsmoothing0.1.0-lp156.14.1Trend Estimation of Univariate and Bivariate Time Series wit
R-TSsql2017.4.1-lp156.2.1Generic SQL Helper Functions for \'TSdbi\' SQL Plugins
R-TSSQLite2015.4.1-lp156.5.1\'TSdbi\' Extensions for \'SQLite\'
R-TSSS1.3.4.5-lp156.1.1Time Series Analysis with State Space Model
R-TSSVM0.1.0-lp156.5.1Time Series Forecasting using SVM Model
R-tstools0.4.3-lp156.1.1A Time Series Toolbox for Official Statistics
R-TSTr1.2-lp156.4.1Ternary Search Tree for Auto-Completion and Spell Checking
R-TSTutorial1.2.7-lp156.1.1Fitting and Predict Time Series Interactive Laboratory
R-TSVC1.5.3-lp156.1.1Tree-Structured Modelling of Varying Coefficients
R-tsvio1.0.6-lp156.1.1Simple Utilities for Tab-Separated-Value (TSV) Files
R-tsvr1.0.2-lp156.2.1Timescale-Specific Variance Ratio for Use in Community Ecolo
R-ttbbeer1.1.0-lp156.2.1US Beer Statistics from TTB
R-ttcg1.0.1-lp156.1.1Three-Term Conjugate Gradient for Unconstrained Optimization
R-ttdo0.0.9-lp156.1.1Extend \'tinytest\' with \'diffobj\'
R-ttestshiny0.1.0-lp156.7.1Ttest Shiny
R-tth4.16.0-lp156.2.1TeX-to-HTML/MathML Translators TtH/TtM
R-TTmoment1.0-lp156.2.1Sampling and Calculating the First and Second Moments for th
R-TTR0.24.4-lp156.1.1Technical Trading Rules
R-TTS1.1-lp156.1.1Master Curve Estimates Corresponding to Time-Temperature Sup
R-ttTensor1.0.1-lp156.3.1Tensor-Train Decomposition
R-tttplot1.1.1-lp156.2.1Time to Target Plot
R-ttutils1.0.1.1-lp156.1.1Utility functions
R-ttwa0.8.5.1-lp156.2.1Travel To Work Area.
R-tuber0.9.9-lp156.15.1Client for the YouTube API
R-tubern0.1.0-lp156.2.1R Client for the YouTube Analytics and Reporting API
R-tuckerR.mmgg1.5.1-lp156.2.1Three-Mode Principal Components Analysis
R-TUFLOWR0.1.1-lp156.1.1Helper Functions for \'TUFLOW FV\' Models
R-tukeyGH1.0.0-lp156.2.1Tukey\'s g-and-h Probability Distribution
R-tumblR1.2-lp156.4.1Access to Tumblr V2 API
R-tumgr0.0.4-lp156.2.1Tumor Growth Rate Analysis
R-TunePareto2.5.3-lp156.1.1Multi-Objective Parameter Tuning for Classifiers
R-tuneR1.4.7-lp156.2.1Analysis of Music and Speech
R-tuple0.4.02-lp156.2.1Find every match, or orphan, duplicate, triplicate, or other
R-turfR0.8.7-lp156.8.1TURF Analysis for R
R-turkeyelections0.1.2-lp156.2.1The Most Comprehensive R Package for Turkish Election Result
R-turner0.1.9-lp156.2.1Turn Vectors and Lists of Vectors into Indexed Structures
R-TurtleGraphics1.0.8-lp156.2.1Turtle Graphics
R-TUWmodel1.1.1-lp156.2.1Lumped/Semi-Distributed Hydrological Model for Education Pur
R-tv2.0.2-lp156.1.1Tools for Creating Time-Varying Datasets
R-tvem1.4.1-lp156.1.1Time-Varying Effect Models
R-tvgarch2.4.2-lp156.2.1Time Varying GARCH Modelling
R-tvgeom1.0.1-lp156.2.1The Time-Varying (Right-Truncated) Geometric Distribution
R-tvm0.5.2-lp156.2.1Time Value of Money Functions
R-tvmComp1.0.2-lp156.1.1Discounting and Compounding Calculations for Various Scenari
R-tvmediation1.1.0-lp156.6.1Time Varying Mediation Analysis
R-tvthemes1.3.3-lp156.1.1TV Show Themes and Color Palettes for \'ggplot2\' Graphics
R-twangContinuous1.0.0-lp156.4.1Toolkit for Weighting and Analysis of Nonequivalent Groups -
R-tweedie2.3.5-lp156.1.1Evaluation of Tweedie Exponential Family Models
R-twenty480.2.1-lp156.1.1Play a Game of 2048 in the Console
R-twfy0.1.0-lp156.2.1Drive the API for TheyWorkForYou
R-twiddler0.5.0-lp156.2.1Interactive manipulation of R expressions
R-twilio0.1.0-lp156.8.1An Interface to the Twilio API for R
R-twitteR1.1.9-lp156.3.1R Based Twitter Client
R-twitteradsR0.1.0-lp156.1.1Get Twitter Ads Data via the \'Windsor.ai\' API
R-TwitterAutomatedTrading0.1.0-lp156.18.1Automated Trading Using Tweets
R-twn0.2.4-lp156.2.1Taxa Waterbeheer Nederland voor R
R-TwoArmSurvSim0.2-lp156.10.1Simulate Survival Data for Randomized Clinical Trials
R-TwoCop1.0-lp156.2.1Nonparametric test of equality between two copulas
R-twopartm0.1.0-lp156.1.1Two-Part Model with Marginal Effects
R-twopexp0.1.0-lp156.1.1The Two Parameter Exponential Distribution
R-TwoPhaseInd1.1.2-lp156.1.1Estimate Gene-Treatment Interaction Exploiting Randomization
R-TwoRegression1.0.0-lp156.5.1Develop and Apply Two-Regression Algorithms
R-TwoSampleTest.HD1.2-lp156.1.1A Two-Sample Test for the Equality of Distributions for High
R-twostageTE1.3-lp156.2.1Two-Stage Threshold Estimation
R-TwoStepCLogit1.2.5-lp156.2.1Conditional Logistic Regression: A Two-Step Estimation Metho
R-twoway0.6.3-lp156.2.1Analysis of Two-Way Tables
R-txtplot1.0.4-lp156.2.1Text Based Plots
R-txtq0.2.4-lp156.1.1A Small Message Queue for Parallel Processes
R-typehint0.1.2-lp156.5.1Auto-Check Types, Dimensions, and Values of Function Argumen
R-types1.0.0-lp156.2.1Type Annotations
R-typetracer0.2.2-lp156.1.1Trace Function Parameter Types
R-tzupdater0.1.5-lp156.1.1Time Zone Database Updater
R-u5mr0.1.1-lp156.3.1Under-Five Child Mortality Estimation
R-UBCRM1.0.3-lp156.2.1Simulate and Conduct Dose-Escalation Phase I Studies
R-uchardet1.1.1-lp156.1.1The Universal Character Encoding Detector
R-uclust1.0.0-lp156.7.1Clustering and Classification Inference with U-Statistics
R-UCR.ColumnNames0.1.0-lp156.2.1Fixes Column Names for Uniform Crime Report \"Offenses Known
R-UCSCXenaTools1.4.8-lp156.4.1Download and Explore Datasets from UCSC Xena Data Hubs
R-udapi0.1.3-lp156.2.1Urban Dictionary API Client
R-UdderQuarterInfectionData1.0.0-lp156.2.1Udder Quarter Infection Data
R-udunits20.13.2.1-lp156.1.1Udunits-2 Bindings for R
R-ufRisk1.0.7-lp156.8.1Risk Measure Calculation in Financial TS
R-ui0.1.1-lp156.3.1Uncertainty Intervals and Sensitivity Analysis for Missing D
R-uk2us0.1.0-lp156.1.1Convert Words Between UK and US English
R-ukbabynames0.3.0-lp156.1.1UK Baby Names Data
R-ukbnmr2.2-lp156.1.1Removal of Unwanted Technical Variation from UK Biobank NMR
R-ukbtools0.11.3-lp156.17.1Manipulate and Explore UK Biobank Data
R-ukgasapi0.21-lp156.3.1API for UK Energy Market Information
R-UKgrid0.1.3-lp156.16.1The UK National Electricity Transmission System Dataset
R-uklr1.0.2-lp156.6.1Client to United Kingdom Land Registry
R-ukpolice0.2.2-lp156.13.1Download Data on UK Police and Crime
R-ulex0.1.0-lp156.1.1Unique Location Extractor
R-Ultimixt2.1-lp156.2.1Bayesian Analysis of Location-Scale Mixture Models using a W
R-ultrapolaRplot0.1.1-lp156.1.1Plotting Ultrasound Tongue Traces
R-umbridge1.0-lp156.3.1Integration for the UM-Bridge Protocol
R-ump0.5.8-lp156.2.1Uniformly Most Powerful Tests
R-UMR1.1.0-lp156.1.1Unmatched Monotone Regression
R-unbalanced2.0-lp156.8.1Racing for Unbalanced Methods Selection
R-unbalhaar2.1-lp156.1.1Function estimation via Unbalanced Haar wavelets
R-UncDecomp1.0.1-lp156.16.1Uncertainty Decomposition
R-uncertainty0.2.0-lp156.4.1Uncertainty Estimation and Contribution Analysis
R-UNCLES2.0-lp156.3.1Unification of Clustering Results from Multiple Datasets usi
R-uncmbb0.2.2-lp156.12.1UNC Men\'s Basketball Match Results Since 1949-1950 Season
R-uncorbets0.1.2-lp156.1.1Uncorrelated Bets via Minimum Torsion Algorithm
R-UNF2.0.8-lp156.1.1Tools for Creating Universal Numeric Fingerprints for Data
R-unga0.1.0-lp156.2.1Makes Multiple Contingency Tables of a Data Frame
R-unglue0.1.0-lp156.2.1Extract Matched Substrings Using a Pattern
R-unhcrthemes0.6.2-lp156.3.1UNHCR \'ggplot2\' Theme and Colour Palettes
R-unheadr0.4.0-lp156.2.1Handle Data with Messy Header Rows and Broken Values
R-uni.survival.tree1.5-lp156.1.1A Survival Tree Based on Stabilized Score Tests for High-dim
R-uniah1.2-lp156.1.1Unimodal Additive Hazards Model
R-Unico0.1.0-lp156.2.1Unified Cross-Omics Deconvolution
R-Unicode15.1.0.1-lp156.1.1Unicode Data and Utilities
R-unicol0.3.0-lp156.2.1The Colors of your University
R-unifed1.1.6-lp156.1.1The Unifed Distribution
R-UnifiedDoseFinding0.1.10-lp156.1.1Dose-Finding Methods for Non-Binary Outcomes
R-unifir0.2.4-lp156.1.1A Unifying API for Calling the \'Unity\' \'3D\' Video Game E
R-uniformly0.4.0-lp156.1.1Uniform Sampling
R-uniftest1.1-lp156.2.1Tests for Uniformity
R-unikn1.0.0-lp156.2.1Graphical Elements of the University of Konstanz\'s Corporat
R-uniqtag1.0.1-lp156.1.1Abbreviate Strings to Short, Unique Identifiers
R-uniReg1.1-lp156.3.1Unimodal Penalized Spline Regression using B-Splines
R-unisensR0.3.3-lp156.12.1Read \'Unisens\' Data
R-uniset0.3.1-lp156.1.1Dynamic Settings File
R-uniswappeR0.6.1-lp156.2.1Interact with the Uniswap Platform
R-UnitCircle0.1.3-lp156.2.1Check if Roots of a Polynomial Lie Outside the Unit Circle
R-unitedR0.4-lp156.3.1Assessment and Evaluation of Formations in United
R-unitizer1.4.21-lp156.2.1Interactive R Unit Tests
R-UnitStat1.1.0-lp156.1.1Performs Unit Root Test Statistics
R-univariateML1.1.1-lp156.6.1Maximum Likelihood Estimation for Univariate Densities
R-UniversalCVI1.1.2-lp156.2.1Hard and Soft Cluster Validity Indices
R-universals0.0.5-lp156.1.1S3 Generics for Bayesian Analyses
R-UnivRNG1.2.3-lp156.1.1Univariate Pseudo-Random Number Generation
R-unjoin0.1.0-lp156.13.1Separate a Data Frame by Normalization
R-unnest0.0.5-lp156.1.1Unnest Hierarchical Data Structures
R-unpivotr0.6.3-lp156.4.1Unpivot Complex and Irregular Data Layouts
R-unrepx1.0.2-lp156.1.1Analysis and Graphics for Unreplicated Experiments
R-unusualprofile0.1.4-lp156.1.1Calculates Conditional Mahalanobis Distances
R-unvotes0.3.0-lp156.1.1United Nations General Assembly Voting Data
R-uotm0.1.6-lp156.4.1Uncertainty of Time Series Model Selection Methods
R-updateme0.1.0-lp156.2.1Informative Messages About Outdated Packages
R-updater0.1.2-lp156.1.1Utilities for Updating R
R-uplifteval0.1.0-lp156.10.1Uplift Model Evaluation with Plots and Metrics
R-UPMASK1.2-lp156.7.1Unsupervised Photometric Membership Assignment in Stellar Cl
R-upndown0.1.0-lp156.1.1Utilities and Design Aids for Up-and-Down Dose-Finding Studi
R-UpSetR1.4.0-lp156.14.1A More Scalable Alternative to Venn and Euler Diagrams for V
R-UPSvarApprox0.1.4-lp156.1.1Approximate the Variance of the Horvitz-Thompson Total Estim
R-uptasticsearch0.4.0-lp156.8.1Get Data Frame Representations of \'Elasticsearch\' Results
R-uptimeRobot1.0.0-lp156.5.1Access the UptimeRobot Ping API
R-urca1.3.4-lp156.2.1Unit root and cointegration tests for time series data
R-urlchecker1.0.1-lp156.3.1Run CRAN URL Checks from Older R Versions
R-urlshorteneR1.5.7-lp156.10.1R Wrapper for the \'Bit.ly\' and \'Is.gd\'/\'v.gd\' URL Shor
R-uroot2.1.3-lp156.1.1Unit Root Tests for Seasonal Time Series
R-us.census.geoheader1.0.2-lp156.11.1US 2010 Census SF2 Geographic Header Summary Levels 010-050
R-usa0.1.2-lp156.2.1Updated US State Facts and Figures
R-USA.state.boundaries1.0.1-lp156.1.1WGS84 Datum Map of the USA, Including Puerto Rico and the U.
R-USAboundaries0.4.0-lp156.1.1Historical and Contemporary Boundaries of the United States
R-UScancer0.1.2-lp156.2.1Create US cancer datasets from SEER, IARC, and US Census dat
R-UScensus2000cdp0.03-lp156.2.1US Census 2000 Designated Places Shapefiles and Additional D
R-UScensus2000tract0.03-lp156.2.1US Census 2000 Tract Level Shapefiles and Additional Demogra
R-UScensus20100.20.0-lp156.1.1US Census 2010 Suite of R Packages
R-uscoauditlog1.0.3-lp156.7.1United States Copyright Office Product Management Division S
R-usdampr1.0.1-lp156.13.1Request USDA MPR Historical Data via the \'LMR\' API
R-usdarnass0.1.0-lp156.13.1USDA NASS Quick Stats API
R-usdata0.3.1-lp156.2.1Data on the States and Counties of the United States
R-usdm2.1.7-lp156.1.1Uncertainty Analysis for Species Distribution Models
R-usdoj1.1.0-lp156.1.1For Accessing U.S. Department of Justice (DOJ) Open Data
R-usedist0.4.0-lp156.2.1Distance Matrix Utilities
R-useful1.2.6.1-lp156.1.1A Collection of Handy, Useful Functions
R-usethat0.3.0-lp156.6.1Automate Analytic Project Setup and Development
R-usethis20.2.0-lp156.1.1Automate Analytic Project Setup and Development
R-USgas0.1.2-lp156.1.1The Demand for Natural Gas in the US
R-USgrid0.1.2-lp156.12.1The Demand and Supply for Electricity in the US
R-ushr0.2.3-lp156.17.1Understanding Suppression of HIV
R-usincometaxes0.4.0-lp156.1.1Calculate Federal and State Income Taxes in the United State
R-usl3.0.3-lp156.1.1Analyze System Scalability with the Universal Scalability La
R-USP0.1.2-lp156.2.1U-Statistic Permutation Tests of Independence for all Data T
R-USpopcenters0.2.0-lp156.1.1United States Centers of Population (Centroids)
R-ussherR1.10-lp156.1.1Ussher Data Set Drawn from 1658 Chronology
R-UStatBookABSC1.0.0-lp156.2.1A Companion Package to the Book \"U-Statistics, M-Estimation
R-ustfd0.4.4-lp156.1.1API Client for US Treasury Fiscal Data
R-ustyc1.0.0-lp156.4.1Fetch US Treasury yield curve data.
R-utc0.1.5-lp156.2.1Coordinated Universal Time Transformations
R-utf81.2.4-lp156.1.1Unicode Text Processing
R-utile.tables0.3.0-lp156.2.1Build Tables for Publication
R-utile.tools0.3.0-lp156.1.1Summarize Data for Publication
R-utile.visuals0.3.3-lp156.1.1Create Visuals for Publication
R-utilities0.6.1-lp156.1.1Data Utility Functions
R-utility1.4.6-lp156.1.1Construct, Evaluate and Plot Value and Utility Functions
R-utilsIPEA0.0.6-lp156.15.1IPEA Common Functions
R-utiml0.1.7-lp156.10.1Utilities for Multi-Label Learning
R-uwedragon0.1.0-lp156.1.1Data Research, Access, Governance Network : Statistical Disc
R-UWHAM1.1-lp156.1.1Unbinned Weighted Histogram Analysis Method (UWHAM)
R-vacuum0.1.0-lp156.13.1Tukey\'s Vacuum Cleaner
R-vader0.2.1-lp156.4.1Valence Aware Dictionary and sEntiment Reasoner (VADER)
R-vaersNDvax1.0.4-lp156.2.1Non-Domestic Vaccine Adverse Event Reporting System (VAERS)
R-vaersvax1.0.5-lp156.2.1US Vaccine Adverse Event Reporting System (VAERS) Vaccine Da
R-vagalumeR0.1.6-lp156.17.1Access to the \'Vagalume\' API
R-valaddin1.0.2-lp156.1.1Functional Input Validation
R-valentine2024.2.14-lp156.1.1Spread the Love for R Packages with Poetry
R-valet0.9.0-lp156.5.1Provide R Client to the Bank of Canada\'s Valet API
R-validann1.2.1-lp156.2.1Validation Tools for Artificial Neural Networks
R-validate1.1.5-lp156.1.1Data Validation Infrastructure
R-validatedb0.1.4-lp156.7.1Validate Data in a Database using \'validate\'
R-validateIt1.2.1-lp156.2.1Validating Topic Coherence and Topic Labels
R-validateRS1.0.0-lp156.7.1One-Sided Multivariate Testing Procedures for Rating Systems
R-validatesuggest0.3.2-lp156.1.1Generate Suggestions for Validation Rules
R-validatetools0.5.2-lp156.1.1Checking and Simplifying Validation Rule Sets
R-VALIDICLUST0.1.0-lp156.3.1VALID Inference for Clusters Separation Testing
R-valmetrics1.0.0-lp156.1.1Metrics and Plots for Model Evaluation
R-valorate1.0.1-lp156.2.1Velocity and Accuracy of the LOg-RAnk TEst
R-valottery0.0.1-lp156.2.1Results from the Virginia Lottery Draw Games
R-valueSetCompare1.0.0-lp156.1.1Comparing HRQoL Instrument Value Sets
R-VAM1.1.0-lp156.1.1Variance-Adjusted Mahalanobis
R-vamc0.2.1-lp156.4.1A Monte Carlo Valuation Framework for Variable Annuities
R-VancouvR0.1.8-lp156.2.1Access the \'City of Vancouver\' Open Data API
R-vangogh0.1.1-lp156.6.1A Vincent Van Gogh Color Palette Generator
R-vanquish1.0.0-lp156.15.1Variant Quality Investigation Helper
R-VAR.etp1.1-lp156.1.1VAR Modelling: Estimation, Testing, and Prediction
R-VAR.spec1.0-lp156.1.1Allows Specifying a Bivariate VAR (Vector Autoregression) wi
R-varbin0.2.1-lp156.2.1Optimal Binning of Continuous and Categorical Variables
R-VarBundle0.3.0-lp156.9.1Read-Only Variable Bundles
R-vardiag0.2.1-lp156.2.1Variogram Diagnostics
R-vardpoor0.20.1-lp156.7.1Variance Estimation for Sample Surveys by the Ultimate Clust
R-VarED1.0.0-lp156.2.1Variance Estimation using Difference-Based Methods
R-VaRES1.0.2-lp156.1.1Computes Value at Risk and Expected Shortfall for over 100 P
R-VarfromPDB2.2.10-lp156.7.1Disease-Gene-Variant Relations Mining from the Public Databa
R-varhandle2.0.6-lp156.1.1Functions for Robust Variable Handling
R-variability0.1.0-lp156.2.1Genetic Variability Analysis for Plant Breeding Research
R-variables1.1.1-lp156.1.1Variable Descriptions
R-VariableScreening0.2.1-lp156.2.1High-Dimensional Screening for Semiparametric Longitudinal R
R-VarianceGamma0.4.2-lp156.1.1The Variance Gamma Distribution
R-variantspark0.1.1-lp156.19.1A \'Sparklyr\' Extension for \'VariantSpark\'
R-variationalDCM2.0.1-lp156.2.1Variational Bayesian Estimation for Diagnostic Classificatio
R-varImp0.4-lp156.2.1RF Variable Importance for Arbitrary Measures
R-vaRiskScore1.0.0-lp156.1.1VA CVD Risk Score
R-varitas0.0.2-lp156.17.1Variant Calling in Targeted Analysis Sequencing Data
R-varjmcm0.1.1-lp156.4.1Estimations for the Covariance of Estimated Parameters in Jo
R-varoc0.2.0-lp156.1.1Value Added Receiver Operating Characteristics Curve
R-varrank0.5-lp156.1.1Heuristics Tools Based on Mutual Information for Variable Ra
R-VarRedOpt0.1.0-lp156.2.1A Framework for Variance Reduction
R-vars1.6.1-lp156.2.1VAR Modelling
R-VARSEDIG2.1-lp156.1.1An Algorithm for Morphometric Characters Selection and Stati
R-varSel0.2-lp156.1.1Sequential Forward Floating Selection using Jeffries-Matusit
R-varSelRF0.7.8-lp156.2.1Variable Selection Using Random Forests
R-VARshrink0.3.1-lp156.2.1Shrinkage Estimation Methods for Vector Autoregressive Model
R-VARsignR0.1.3-lp156.2.1Sign Restrictions, Bayesian, Vector Autoregression Models
R-VarSwapPrice1.0-lp156.2.1Pricing a variance swap on an equity index
R-vasicek0.0.3-lp156.2.1Miscellaneous Functions for Vasicek Distribution
R-vatcheckapi0.1.0-lp156.1.1Client for the \'vatcheckapi.com\' VAT Validation API
R-vaultr1.2.0-lp156.1.1Vault Client for Secrets and Sensitive Data
R-vaxpmx0.0.3-lp156.1.1Vaccines Pharmacometrics
R-vbdm0.0.4-lp156.2.1Variational Bayes Discrete Mixture Model
R-VBsparsePCA0.1.0-lp156.1.1The Variational Bayesian Method for Sparse PCA
R-vbsr0.0.5-lp156.2.1Variational Bayes Spike Regression Regularized Linear Models
R-VBTree0.1.1-lp156.1.1Vector Binary Tree to Make Your Data Management More Efficie
R-VBV0.6.2-lp156.1.1The Generalized Berlin Method for Time Series Decomposition
R-VC2copula0.1.5-lp156.1.1Extend the \'copula\' Package with Families and Models from
R-vccp0.1.1-lp156.2.1Vine Copula Change Point Detection in Multivariate Time Seri
R-vcdExtra0.8.5-lp156.3.1\'vcd\' Extensions and Additions
R-vcov0.0.1-lp156.2.1Variance-Covariance Matrices and Standard Errors
R-vctrs0.6.5-lp156.1.1Vector Helpers
R-vctsfr0.1.1-lp156.3.1Visualizing Collections of Time Series Forecasts
R-vcvComp1.0.2-lp156.2.1Comparison of Variance - Covariance Patterns
R-vdar0.1.3.2-lp156.2.1Discriminant Analysis Incorporating Individual Uncertainties
R-Vdgraph2.2.7-lp156.1.1Variance Dispersion Graphs and Fraction of Design Space Plot
R-VdgRsm1.5-lp156.2.1Plots of Scaled Prediction Variances for Response Surface De
R-VDJgermlines0.1-lp156.5.1Variable, Diversity and Joining Sequences from Various Speci
R-vdra1.0.0-lp156.1.1Vertical Distributed Regression Analysis
R-VDSPCalibration1.0-lp156.2.1Statistical Methods for Designing and Analyzing a Calibratio
R-vec2dtransf1.1.3-lp156.1.12D Cartesian Coordinate Transformation
R-vecsets1.4-lp156.1.1Like Set Tools in \'Base\' Package but Keeps Duplicate Eleme
R-VecStatGraphs2D1.8-lp156.2.1Vector Analysis using Graphical and Analytical Methods in 2D
R-vectools0.3.0-lp156.1.1Advanced Vector Toolkit
R-vectorbitops1.1.2-lp156.1.1Vector Bitwise Operations
R-vectorwavelet0.1.0-lp156.9.1Vector Wavelet Coherence for Multiple Time Series
R-VedicDateTime0.1.9-lp156.1.1Vedic Calendar System
R-vegclust2.0.2-lp156.1.1Fuzzy Clustering of Vegetation Data
R-vegdata0.9.12-lp156.1.1Access Vegetation Databases and Treat Taxonomy
R-vegetarian1.2-lp156.2.1Jost Diversity Measures for Community Data
R-vegperiod0.4.0-lp156.1.1Determine Thermal Vegetation Periods
R-vek1.0.0-lp156.2.1Predicate Helper Functions for Testing Simple Atomic Vectors
R-vembedr0.1.5-lp156.9.1Embed Video in HTML
R-venn1.12-lp156.1.1Draw Venn Diagrams
R-VennDiagram1.7.3-lp156.1.1Generate High-Resolution Venn and Euler Plots
R-verbaliseR0.1-lp156.4.1Make your Text Mighty Fine
R-verhoeff0.4.0-lp156.1.1Implementation of the \'Verhoeff\' Check Digit Algorithm
R-verification1.42-lp156.11.1Weather Forecast Verification Utilities
R-vermeulen0.1.2-lp156.2.1Biomarker Data Set by Vermeulen et al. (2009)
R-versioning0.1.0-lp156.1.1Settings and File I/O using a Configuration YAML File
R-versions0.3-lp156.2.1Query and Install Specific Versions of Packages on CRAN
R-versionsort1.1.0-lp156.1.1Sort and Order Version Codes
R-versus0.3.0-lp156.1.1Compare Data Frames
R-vertexenum1.0.2-lp156.2.1Vertex Enumeration of Polytopes
R-VertexSimilarity0.1-lp156.7.1Creates Vertex Similarity Matrix for an Undirected Graph
R-VertexSort0.1.1-lp156.6.1Network Hierarchical Structure and Randomization
R-VertexWiseR1.0.0-lp156.1.1Simplified Vertex-Wise Analyses of Whole-Brain and Hippocamp
R-vesselr0.2.1-lp156.3.1Gradient and Vesselness Tools for Arrays and NIfTI Images
R-vetools1.3.28-lp156.5.1Tools for Venezuelan Environmental Data
R-VEwaning1.3-lp156.1.1Vaccine Efficacy Over Time
R-vfcp1.4.0-lp156.6.1Computation of v Values for U and Copula C(U, v)
R-vfinputs0.1.0-lp156.17.1Visual Filter Inputs for Shiny
R-vfprogression0.7.1-lp156.2.1Visual Field (VF) Progression Analysis and Plotting Methods
R-VFS1.0.2-lp156.3.1Vegetated Filter Strip and Erosion Model
R-VGAMextra0.0.6-lp156.1.1Additions and Extensions of the \'VGAM\' Package
R-VHDClassification0.3-lp156.3.1Discrimination/Classification in very high dimension with li
R-vhica0.2.8-lp156.1.1Vertical and Horizontal Inheritance Consistence Analysis
R-via0.2.0-lp156.1.1Virtual Arrays
R-vietnamcode0.1.1-lp156.2.1Convert Vietnam Provincial Codes
R-ViewPipeSteps0.1.0-lp156.7.1Create View Tabs of Pipe Chains
R-VIF1.0-lp156.2.1VIF Regression: A Fast Regression Algorithm For Large Data
R-VIFCP1.2-lp156.2.1Detecting Change-Points via VIFCP Method
R-viking1.0.2-lp156.1.1State-Space Models Inference by Kalman or Viking
R-villager2.0.0-lp156.2.1A Framework for Designing and Running Agent Based Models
R-VIMean0.1.0-lp156.1.1Variability Independent of Mean
R-vimp2.3.3-lp156.1.1Perform Inference on Algorithm-Agnostic Variable Importance
R-vimpclust0.1.0-lp156.10.1Variable Importance in Clustering
R-vindecodr0.1.1-lp156.2.1Provides an Interface to the Department of Transportation VI
R-vines1.1.5-lp156.3.1Multivariate Dependence Modeling with Vines
R-violinmplot0.2.1-lp156.2.1Combination of violin plot with mean and standard deviation.
R-violinplotter3.0.1-lp156.1.1Plotting and Comparing Means with Violin Plots
R-viopoints0.2.1-lp156.2.11-D Scatter Plots with Jitter Using Kernel Density Estimates
R-vip0.4.1-lp156.2.1Variable Importance Plots
R-vipor0.4.7-lp156.1.1Plot Categorical Data Using Quasirandom Noise and Density Es
R-viridis0.6.5-lp156.1.1Colorblind-Friendly Color Maps for R
R-viridisLite0.4.2-lp156.1.1Colorblind-Friendly Color Maps (Lite Version)
R-virtualPollen1.0.1-lp156.9.1Simulating Pollen Curves from Virtual Taxa with Different Li
R-virtualspecies1.6-lp156.2.1Generation of Virtual Species Distributions
R-virtuoso0.1.8-lp156.6.1Interface to \'Virtuoso\' using \'ODBC\'
R-virustotal0.2.2-lp156.2.1R Client for the VirusTotal API
R-visaOTR0.1.0-lp156.1.1Valid Improved Sparsity A-Learning for Optimal Treatment Dec
R-VisCollin0.1.2-lp156.1.1Visualizing Collinearity Diagnostics
R-visdat0.6.0-lp156.3.1Preliminary Visualisation of Data
R-ViSiElse1.2.2-lp156.14.1A Visual Tool for Behavior Analysis over Time
R-vismeteor1.8.5-lp156.1.1Analysis of Visual Meteor Data
R-visreg2.7.0-lp156.2.1Visualization of Regression Models
R-visTree0.8.1-lp156.2.1Visualization of Subgroups for Decision Trees
R-vistributions0.1.2-lp156.7.1Visualize Probability Distributions
R-VisualDom0.8.0-lp156.2.1Visualize Dominant Variables in Wavelet Multiple Correlation
R-visualize4.5.0-lp156.1.1Graph Probability Distributions with User Supplied Parameter
R-vitality1.3-lp156.2.1Fitting Routines for the Vitality Family of Mortality Models
R-vivo0.2.1-lp156.14.1Variable Importance via Oscillations
R-vkR0.2-lp156.5.1Access to VK API via R
R-VLF1.1-lp156.1.1Frequency Matrix Approach for Assessing Very Low Frequency V
R-VLMCX1.0-lp156.1.1Variable Length Markov Chain with Exogenous Covariates
R-VLTimeCausality0.1.5-lp156.2.1Variable-Lag Time Series Causality Inference Framework
R-vmd0.1.0-lp156.9.1Variational Mode Decomposition
R-vmr0.0.6-lp156.1.1Virtual Machines for R
R-vntrs0.1.1-lp156.1.1Variable Neighborhood Trust Region Search
R-vocaldia0.8.4-lp156.1.1Create and Manipulate Vocalisation Diagrams
R-voi1.0.2-lp156.4.1Expected Value of Information
R-voice0.4.21-lp156.1.1Tools for Voice Analysis, Speaker Recognition and Mood Infer
R-volatilityTrader1.0.1-lp156.3.1High Volatility Environment Option Trading Strategies Graphs
R-volleystat0.2.0-lp156.2.1Detailed Statistics on Volleyball Matches
R-VorteksExport0.1.8-lp156.1.1Export Dataframes to \'Vorteks\' Software
R-vortexRdata1.0.5-lp156.2.1Example Data for R Package \'vortexR\'
R-voson.tcn0.5.0-lp156.9.1Twitter Conversation Networks and Analysis
R-VOSONDash0.5.7-lp156.25.1User Interface for Collecting and Analysing Social Networks
R-vosonSML0.32.7-lp156.9.1Collecting Social Media Data and Generating Networks for Ana
R-Voss0.1.5-lp156.8.1Generic Voss Algorithm (Random Sequential Additions)
R-voteogram0.3.2-lp156.1.1United States House and Senate Voting Cartogram Generators
R-voteSim0.1.1-lp156.1.1Generate Simulated Data for Voting Rules using Evaluations
R-votesmart0.1.2-lp156.2.1Wrapper for the Project \'VoteSmart\' API
R-votesys0.1.1-lp156.2.1Voting Systems, Instant-Runoff Voting, Borda Method, Various
R-vottrans1.0-lp156.2.1Voter Transition Analysis
R-vov0.1.2-lp156.15.1CSS Animations for \'shiny\' Elements
R-vowels1.2.2-lp156.2.1Vowel Manipulation, Normalization, and Plotting
R-vpc1.2.2-lp156.16.1Create Visual Predictive Checks
R-vrcp0.1.1-lp156.14.1Change Point Estimation for Regression with Varying Segments
R-vrmlgen1.4.9-lp156.2.1Generate 3D visualizations for data exploration on the web
R-vrnmf1.0.2-lp156.2.1Volume-Regularized Structured Matrix Factorization
R-vrtest1.2-lp156.1.1Variance Ratio Tests and Other Tests for Martingale Differen
R-vscc0.6-lp156.1.1Variable Selection for Clustering and Classification
R-vstdct0.2-lp156.1.1Nonparametric Estimation of Toeplitz Covariance Matrices
R-vstsr1.1.0-lp156.2.1Access to \'Azure DevOps\' API via R
R-VSURF1.2.0-lp156.2.1Variable Selection Using Random Forests
R-vtreat1.6.5-lp156.1.1A Statistically Sound \'data.frame\' Processor/Conditioner
R-vtype0.8-lp156.1.1Estimates the Variable Type in Error Afflicted Data
R-vudc1.1-lp156.2.1Visualization of Univariate Data for Comparison
R-VulnToolkit1.1.4-lp156.2.1Analysis of Tidal Datasets
R-vvcanvas0.0.4-lp156.2.1\'Canvas\' LMS API Integration
R-vvconverter0.5.10-lp156.1.1Apply Transformations to Data
R-vvfiller0.6.7-lp156.2.1Fill Data Points
R-vvmover1.6.0-lp156.1.1Read and Write Data
R-vvsculptor0.4.10-lp156.1.1Apply Manipulations to Data Frames
R-vvtermtime0.0.1-lp156.1.1Interface for \'Semestry TermTime\' Services
R-VWPre1.2.4-lp156.20.1Tools for Preprocessing Visual World Data
R-W2CWM2C2.2-lp156.2.1A Graphical Tool for Wavelet (Cross) Correlation and Wavelet
R-W3CMarkupValidator0.1.7-lp156.2.1R Interface to W3C Markup Validation Services
R-W4MRUtils1.0.0-lp156.1.1Utils List for W4M - Workflow for Metabolomics
R-WA1.0-lp156.1.1While-Alive Loss Rate for Recurrent Event in the Presence of
R-waccR0.1.0-lp156.10.1Cost of Capital by Sector Data
R-wacolors0.3.1-lp156.6.1Colorblind-Friendly Palettes from Washington State
R-WACS1.1.0-lp156.3.1Multivariate Weather-State Approach Conditionally Skew-Norma
R-wactor0.0.1-lp156.11.1Word Factor Vectors
R-wahc1.0-lp156.2.1Autocorrelation and Heteroskedasticity Correction in Fixed E
R-waiter0.2.5-lp156.9.1Loading Screen for \'Shiny\'
R-wakefield0.3.6-lp156.17.1Generate Random Data Sets
R-walkscore0.1.2-lp156.2.1A Tidy Interface to the \'Walk Score\' API
R-walkscoreAPI1.2-lp156.2.1Walk Score and Transit Score API
R-WallomicsData1.0-lp156.1.1Datasets for Multi-Omics Integration in a Plant Abiotic Stre
R-walmartAPI0.1.5-lp156.17.1Walmart Open API Wrapper
R-WaMaSim1.0.0-lp156.2.1Simulate Rehabilitation Strategies for Water Distribution Sy
R-wand0.5.0-lp156.2.1Retrieve \'Magic\' Attributes from Files and Directories
R-WARN1.2.4-lp156.2.1Weaning Age Reconstruction with Nitrogen Isotope Analysis
R-warp0.2.1-lp156.1.1Group Dates
R-washdata0.1.4-lp156.2.1Urban Water and Sanitation Survey Dataset
R-washeR0.1.3-lp156.1.1Time Series Outlier Detection
R-washex1.2.0-lp156.9.1Washington State Legislative Explorer
R-waspasR0.1.5-lp156.1.1Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria De
R-water0.8-lp156.2.1Actual Evapotranspiration with Energy Balance Models
R-waterfall1.0.2-lp156.2.1Waterfall Charts
R-waterfalls1.0.0-lp156.2.1Create Waterfall Charts using \'ggplot2\' Simply
R-WaterML1.9.8-lp156.1.1Fetch and Analyze Data from \'WaterML\' and \'WaterOneFlow\'
R-Watersheds1.1-lp156.2.1Spatial Watershed Aggregation and Spatial Drainage Network A
R-waterYearType1.0.1-lp156.2.1Sacramento and San Joaquin Valley Water Year Types
R-Wats1.0.1-lp156.1.1Wrap Around Time Series Graphics
R-waveband4.7.3-lp156.2.1Computes Credible Intervals for Bayesian Wavelet Shrinkage
R-waved1.3-lp156.1.1Wavelet Deconvolution
R-waveformlidar1.2.0-lp156.4.1Waveform LiDAR Data Processing and Analysis
R-wavefunction1.0.0-lp156.2.1Wave Function Representation of Real Distributions
R-WaveletANN0.1.2-lp156.6.1Wavelet ANN Model
R-WaveletArima0.1.2-lp156.8.1Wavelet-ARIMA Model for Time Series Forecasting
R-WaveletComp1.1-lp156.2.1Computational Wavelet Analysis
R-WaveletGARCH0.1.1-lp156.23.1Fit the Wavelet-GARCH Model to Volatile Time Series Data
R-WaveletML0.1.0-lp156.4.1Wavelet Decomposition Based Hybrid Machine Learning Models
R-WaveletMLbestFL0.1.0-lp156.2.1The Best Wavelet Filter-Level for Prepared Wavelet-Based Mod
R-wavelets0.3.0.2-lp156.2.1Functions for Computing Wavelet Filters, Wavelet Transforms
R-wavemulcor3.1.2-lp156.2.1Wavelet Routines for Global and Local Multiple Regression an
R-WaverR1.0-lp156.8.1Data Estimation using Weighted Averages of Multiple Regressi
R-waveslim1.8.5-lp156.1.1Basic Wavelet Routines for One-, Two-, and Three-Dimensional
R-wavScalogram1.1.3-lp156.2.1Wavelet Scalogram Tools for Time Series Analysis
R-wayback0.2.4-lp156.3.1Rock Solid Package Installation for Legacy R Versions
R-waydown1.1.0-lp156.1.1Computation of Approximate Potentials for Weakly Non-Gradien
R-WayFindR0.1.2-lp156.2.1Computing Graph Structures on WikiPathways
R-wBoot1.0.3-lp156.2.1Bootstrap Methods
R-wbs1.4-lp156.2.1Wild Binary Segmentation for Multiple Change-Point Detection
R-wbstats1.0.4-lp156.19.1Programmatic Access to Data and Statistics from the World Ba
R-wcde0.0.7-lp156.1.1Download Data from the Wittgenstein Centre Human Capital Dat
R-WCE1.0.3-lp156.1.1Weighted Cumulative Exposure Models
R-wcep1.0.2-lp156.2.1Survival Analysis for Weighted Composite Endpoints
R-WCluster1.1.0-lp156.1.1Clustering and PCA with Weights, and Data Nuggets Clustering
R-WCM0.2.2-lp156.6.1Water Cloud Model (WCM) for the Simulation of Leaf Area Inde
R-Wcompo1.0-lp156.1.1Semiparametric Proportional Means Regression of Weighted Com
R-wcox1.0-lp156.2.1Weights to Correct for Outcome Dependent Sampling in Time to
R-WCQ0.2-lp156.2.1Detection of QTL effects in a small mapping population
R-WDI2.7.8-lp156.1.1World Development Indicators and Other World Bank Data
R-wdman0.2.6-lp156.2.1\'Webdriver\'/\'Selenium\' Binary Manager
R-weaana0.1.1-lp156.11.1Analysis the Weather Data
R-weakARMA1.0.3-lp156.1.1Tools for the Analysis of Weak ARMA Models
R-weathercan0.6.2-lp156.1.1Download Weather Data from Environment and Climate Change Ca
R-weatherindices0.1.0-lp156.1.1Calculate Weather Indices
R-weathermetrics1.2.2-lp156.2.1Functions to Convert Between Weather Metrics
R-weatherr0.1.3-lp156.12.1Tools for Handling and Scraping Instant Weather Forecast Fee
R-WebAnalytics0.9.2-lp156.1.1Web Server Log Analysis
R-webchem1.3.0-lp156.2.1Chemical Information from the Web
R-webdeveloper1.0.5-lp156.6.1Functions for Web Development
R-webdriver1.0.6-lp156.2.1\'WebDriver\' Client for \'PhantomJS\'
R-websearchr0.0.3-lp156.2.1Access Domains and Search Popular Websites
R-webshot0.5.5-lp156.1.1Take Screenshots of Web Pages
R-webshot20.1.1-lp156.1.1Take Screenshots of Web Pages
R-webtools0.7.12-lp156.1.1Various Useful Web Tools (Including Full CRAN Dataset Search
R-webuse0.1.3-lp156.15.1Import Stata \'webuse\' Datasets
R-wec0.4.1-lp156.13.1Weighted Effect Coding
R-weco1.2-lp156.2.1Western Electric Company Rules (WECO) for Shewhart Control C
R-WEGE0.1.0-lp156.7.1A Metric to Rank Locations for Biodiversity Conservation
R-weibull41.0.0-lp156.1.1Fits Data into 4-Parameters Weibull Distribution
R-WeibullFit0.1.0-lp156.15.1Fits and Plots a Dataset to the Weibull Probability Distribu
R-weibullness1.24.1-lp156.1.1Goodness-of-Fit Test for Weibull Distribution (Weibullness)
R-WeibullR.ALT0.7.2-lp156.2.1Accelerated Life Testing Using \'WeibullR\'
R-Weighted.Desc.Stat1.0-lp156.2.1Weighted Descriptive Statistics
R-weightedCL0.5-lp156.3.1Efficient and Feasible Inference for High-Dimensional Normal
R-WeightedEnsemble0.1.0-lp156.1.1Weighted Ensemble for Hybrid Model
R-weightedGCM0.1.0-lp156.1.1Weighted Generalised Covariance Measure Conditional Independ
R-WeightedPortTest1.1-lp156.1.1Weighted Portmanteau Tests for Time Series Goodness-of-Fit
R-WeightedROC2020.1.31-lp156.2.1Fast, Weighted ROC Curves
R-weightedScores0.9.5.3-lp156.2.1Weighted Scores Method for Regression Models with Dependent
R-weightedZdiff0.1.0-lp156.2.1Calculation of z-Differences
R-weightr2.0.2-lp156.14.1Estimating Weight-Function Models for Publication Bias
R-weirs0.25-lp156.2.1A Hydraulics Package to Compute Open-Channel Flow over Weirs
R-wesanderson0.3.7-lp156.1.1A Wes Anderson Palette Generator
R-wevid0.6.2-lp156.15.1Quantifying Performance of a Binary Classifier Through Weigh
R-wfg0.1-lp156.7.1Weighted Fast Greedy Algorithm
R-wfindr0.1.0-lp156.13.1Crossword, Scrabble and Anagram Solver
R-wflo1.8-lp156.2.1Data Set and Helper Functions for Wind Farm Layout Optimizat
R-WgtEff0.1.2-lp156.2.1Functions for Weighting Effects
R-WhatIf1.5.10-lp156.2.1Software for Evaluating Counterfactuals
R-whatr1.0.1-lp156.5.1Scrape and Analyze the J! Archive
R-whatthreewords0.1.3-lp156.1.1Work with the \'what3words\' API for Easy Location Referenci
R-wheatmap0.2.0-lp156.1.1Incrementally Build Complex Plots using Natural Semantics
R-whereami0.2.0-lp156.2.1Reliably Return the Source and Call Location of a Command
R-whereport0.1-lp156.13.1Geolocalization of IATA Codes
R-whisker0.4.1-lp156.2.1{{mustache}} for R, logicless templating
R-whitebox2.4.0-lp156.2.1\'WhiteboxTools\' R Frontend
R-whitechapelR0.3.0-lp156.8.1Advanced Policing Techniques for the Board Game \"Letters fr
R-whitening1.4.0-lp156.1.1Whitening and High-Dimensional Canonical Correlation Analysi
R-whitestrap0.0.1-lp156.2.1White Test and Bootstrapped White Test for Heteroskedasticit
R-WhiteStripe2.4.3-lp156.2.1White Matter Normalization for Magnetic Resonance Images
R-whitewater0.1.3-lp156.3.1Parallel Processing Options for Package \'dataRetrieval\'
R-whoami1.3.0-lp156.2.1Username, Full Name, Email Address, \'GitHub\' Username of t
R-whoapi0.1.2-lp156.1.1A \'Whoapi\' API Client
R-whSample0.9.6.2-lp156.10.1Utilities for Sampling
R-widals0.6.1-lp156.2.1Weighting by Inverse Distance with Adaptive Least Squares
R-widyr0.1.5-lp156.9.1Widen, Process, then Re-Tidy Data
R-WienR0.3.15-lp156.1.1Derivatives of the First-Passage Time Density and Cumulative
R-wig0.1.0-lp156.10.1Import WIG Data into R in Long Format
R-wikibooks0.2.1-lp156.1.1Functions and datasets of the german WikiBook \"GNU R\"
R-WikidataQueryServiceR1.0.0-lp156.11.1API Client Library for \'Wikidata Query Service\'
R-wikifacts0.4.2-lp156.7.1Get Facts and Data from Wikipedia and Wikidata
R-wikilake0.7.0-lp156.6.1Scrape Lake Metadata Tables from Wikipedia
R-WikipediaR1.1-lp156.3.1R-Based Wikipedia Client
R-wikipediatrend2.1.6-lp156.10.1Public Subject Attention via Wikipedia Page View Statistics
R-WikipediR1.7.1-lp156.2.1A MediaWiki API Wrapper
R-wikisourcer0.1.5-lp156.1.1Download Public Domain Works from Wikisource
R-WilcoxCV1.0.2-lp156.2.1Wilcoxon-based variable selection in cross-validation
R-wilcoxmed0.0.1-lp156.1.1Computes Values for the 1-Sample Wilcoxon Sign Rank Test for
R-wildcard1.1.0-lp156.6.1Templates for Data Frames
R-wildlifeDI1.0.0-lp156.1.1Calculate Indices of Dynamic Interaction for Wildlife Tracki
R-wildpoker1.1-lp156.2.1Best Hand Analysis for Poker Variants Including Wildcards
R-winch0.1.1-lp156.1.1Portable Native and Joint Stack Traces
R-WindCurves0.2-lp156.1.1Tool to Fit Wind Turbine Power Curves
R-windex2.0.8-lp156.3.1Analysing Convergent Evolution using the Wheatsheaf Index
R-windsoraiR0.1.2-lp156.1.1Access the \'Windsor.ai\' API
R-winfapReader0.1.5.1-lp156.1.1Interact with Peak Flow Data in the United Kingdom
R-wingui0.2-lp156.3.1Advanced Windows Functions
R-winRatioAnalysis0.1.0-lp156.2.1Estimates the Win-Ratio as a Function of Time
R-wiqid0.3.3-lp156.1.1Quick and Dirty Estimates for Wildlife Populations
R-wISAM0.2.8-lp156.2.1Weighted Inbred Strain Association Mapping
R-WiSEBoot1.4.0-lp156.2.1Wild Scale-Enhanced Bootstrap
R-withdots0.1.1-lp156.1.1Put ... in a Function\'s Argument List
R-wkb0.4.0-lp156.2.1Convert Between Spatial Objects and Well-Known Binary Geomet
R-wkNNMI1.0.0-lp156.2.1A Mutual Information-Weighted k-NN Imputation Algorithm
R-wktmo1.0.5-lp156.2.1Converting Weekly Data to Monthly Data
R-WLasso1.0-lp156.9.1Variable Selection for Highly Correlated Predictors
R-WLinfer1.1.0-lp156.3.1Statistical Inference in Weighted Lindley Distribution
R-WLreg1.0.0.1-lp156.1.1Regression Analysis Based on Win Loss Endpoints
R-WMDB1.0-lp156.2.1Discriminant Analysis Methods by Weight Mahalanobis Distance
R-wmlf0.1.2-lp156.2.1Wavelet Leaders in Multifractal Analysis
R-wmm1.1.1-lp156.1.1World Magnetic Model
R-wmwpow0.1.3-lp156.5.1Precise and Accurate Power of the Wilcoxon-Mann-Whitney Rank
R-WMWssp0.4.0-lp156.2.1Wilcoxon-Mann-Whitney Sample Size Planning
R-wnl0.8.1-lp156.2.1Minimization Tool for Pharmacokinetic-Pharmacodynamic Data A
R-wNNSel0.1-lp156.2.1Weighted Nearest Neighbor Imputation of Missing Values using
R-wnominate1.5-lp156.1.1Roll Call Analysis Software
R-wodds0.1.0-lp156.7.1Calculates Whisker Odds
R-woe0.2-lp156.2.1Computes Weight of Evidence and Information Values
R-woeBinning0.1.6-lp156.2.1Supervised Weight of Evidence Binning of Numeric Variables a
R-WoodburyMatrix0.0.3-lp156.1.1Fast Matrix Operations via the Woodbury Matrix Identity
R-woodendesc0.1.0-lp156.1.1Find Packages and Their Dependencies in Any \'R\' Repository
R-WoodSimulatR0.6.1-lp156.2.1Generate Simulated Sawn Timber Strength Grading Data
R-woodValuationDE1.0.2-lp156.1.1Wood Valuation Germany
R-wooldridge1.4.3-lp156.1.1115 Data Sets from \"Introductory Econometrics: A Modern App
R-word.alignment1.1-lp156.7.1Computing Word Alignment Using IBM Model 1 (and Symmetrizati
R-wordler0.3.1-lp156.1.1The \'WORDLE\' Game
R-wordmatch1.0-lp156.4.1Matches words in one file with words in another file
R-WordOfMouth1.1.0-lp156.8.1Estimates Economic Variables for Word-of-Mouth-Campaigns
R-wordpiece2.1.3-lp156.5.1R Implementation of Wordpiece Tokenization
R-wordpiece.data2.0.0-lp156.1.1Data for Wordpiece-Style Tokenization
R-WordPools1.2.0-lp156.1.1Word Pools Used in Studies of Learning and Memory
R-wordpressr0.2.3-lp156.1.1An API Wrapper for WordPress Site APIs
R-wordPuzzleR0.1.1-lp156.2.1Word Puzzle Game
R-words1.0.1-lp156.1.1List of English Words from the Scrabble Dictionary
R-wordsalad0.2.0-lp156.9.1Provide Tools to Extract and Analyze Word Vectors
R-workboots0.2.0-lp156.10.1Generate Bootstrap Prediction Intervals from a \'tidymodels\
R-workflows1.1.4-lp156.1.1Modeling Workflows
R-workloopR1.1.4-lp156.1.1Analysis of Work Loops and Other Data from Muscle Physiology
R-worldfootballR0.6.2-lp156.7.1Extract and Clean World Football (Soccer) Data
R-WorldMapR0.1.1-lp156.2.1Worldwide or Coordinates-Based Heat Maps
R-worms0.2.2-lp156.4.1Retriving Aphia Information from World Register of Marine Sp
R-worrms0.4.3-lp156.1.1World Register of Marine Species (WoRMS) Client
R-worrrd0.1.0-lp156.7.1Generate Wordsearch and Crossword Puzzles
R-wosr0.3.0-lp156.4.1Clients to the \'Web of Science\' and \'InCites\' APIs
R-WPC1.0-lp156.3.1Weighted Predictiveness Curve
R-wPerm1.0.1-lp156.2.1Permutation Tests
R-WPKDE0.1-lp156.2.1Weighted Piecewise Kernel Density Estimation
R-wpp20081.0.1-lp156.2.1World Population Prospects 2008
R-wpp20101.2.0-lp156.2.1World Population Prospects 2010
R-wpp20122.2.1-lp156.2.1World Population Prospects 2012
R-wpp20151.1.2-lp156.3.1World Population Prospects 2015
R-wpp20171.2.3-lp156.2.1World Population Prospects 2017
R-wpp20191.1.1-lp156.2.1World Population Prospects 2019
R-wql1.0.1-lp156.1.1Exploring Water Quality Monitoring Data
R-wqs0.0.1-lp156.2.1Weighted Quantile Sum Regression
R-WR1.0-lp156.2.1Win Ratio Analysis of Composite Time-to-Event Outcomes
R-wrangle0.6.4-lp156.2.1A Systematic Data Wrangling Idiom
R-wrappr0.1.0-lp156.1.1A Collection of Helper and Wrapper Functions
R-wrapr2.1.0-lp156.1.1Wrap R Tools for Debugging and Parametric Programming
R-wrassp1.0.5-lp156.1.1Interface to the \'ASSP\' Library
R-WrensBookshelf0.1.0-lp156.4.1A Collection of Palettes and Some Functions to Help Use Them
R-WRestimates0.1.0-lp156.1.1Sample Size, Power and CI for the Win Ratio
R-wrGraph1.3.7-lp156.1.1Graphics in the Context of Analyzing High-Throughput Data
R-WrightMap1.3-lp156.1.1IRT Item-Person Map with \'ConQuest\' Integration
R-write.snns0.0.4.2-lp156.2.1Function for exporting data to SNNS pattern files.
R-WRS21.1.6-lp156.2.1A Collection of Robust Statistical Methods
R-wsbackfit1.0.5-lp156.1.1Weighted Smooth Backfitting for Structured Models
R-wsjplot0.1.0-lp156.19.1Style Time Series Plots Like the Wall Street Journal
R-wSVM0.1.7-lp156.2.1Weighted SVM with boosting algorithm for improving accuracy
R-wsyn1.0.4-lp156.9.1Wavelet Approaches to Studies of Synchrony in Ecology and Ot
R-wtest3.2-lp156.2.1The W-Test for Genetic Interactions Testing
R-WtTopsis1.0-lp156.1.1Weighted Method for Multiple-Criteria Decision Making
R-WufooR1.0.1-lp156.14.1R Wrapper for the \'Wufoo.com\' - The Form Building Service
R-WVPlots1.3.8-lp156.2.1Common Plots for Analysis
R-wvtool1.0-lp156.2.1Image Tools for Automated Wood Identification
R-WWGbook1.0.2-lp156.1.1Functions and Datasets for WWGbook
R-WWR1.2.2-lp156.2.1Weighted Win Loss Statistics and their Variances
R-wyz.code.metaTesting1.1.22-lp156.2.1Wizardry Code Meta Testing
R-wyz.code.offensiveProgramming1.1.24-lp156.2.1Wizardry Code Offensive Programming
R-wyz.code.rdoc1.1.19-lp156.8.1Wizardry Code Offensive Programming R Documentation
R-wyz.code.testthat1.1.20-lp156.7.1Wizardry Code Offensive Programming Test Generation
R-x.ent1.1.7-lp156.16.1eXtraction of ENTity
R-x121.10.3-lp156.1.1Interface to \'X12-ARIMA\'/\'X13-ARIMA-SEATS\' and Structure
R-xadmix1.0.0-lp156.7.1Subsetting and Plotting Optimized for Admixture Data
R-xbreed1.0.1.1-lp156.2.1Genomic Simulation of Purebred and Crossbred Populations
R-xefun0.1.5-lp156.1.1X-Engineering or Supporting Functions
R-xega0.9.0.0-lp156.2.1Extended Evolutionary and Genetic Algorithms
R-xegaBNF1.0.0.0-lp156.1.1Compile a Backus-Naur Form Specification into an R Grammar O
R-xegaDerivationTrees1.0.0.0-lp156.1.1Generating and Manipulating Derivation Trees
R-xegaDfGene1.0.0.0-lp156.1.1Gene Operations for Real-Coded Genes
R-xegaGaGene1.0.0.1-lp156.1.1Binary Gene Operations for Genetic Algorithms
R-xegaGeGene1.0.0.0-lp156.1.1Grammatical Evolution
R-xegaGpGene1.0.0.0-lp156.1.1Genetic Operations for Grammar-Based Genetic Programming
R-xegaPermGene1.0.0.0-lp156.1.1Operations on Permutation Genes
R-xegaPopulation1.0.0.0-lp156.2.1Genetic Population Level Functions
R-xegaSelectGene1.0.0.0-lp156.1.1Selection of Genes and Gene Representation Independent Funct
R-xesreadR0.2.3-lp156.23.1Read and Write XES Files
R-xgb2sql0.1.2-lp156.5.1Convert Trained \'XGBoost\' Model to SQL Query
R-xgobi1.2.15-lp156.2.1Interface to the XGobi and XGvis programs for graphical data
R-XHWE1.0-lp156.2.1X Chromosome Hardy-Weinberg Equilibrium
R-xkcdcolors1.0-lp156.2.1Color Names from the XKCD Color Survey
R-XKCDdata0.1.0-lp156.17.1Get XKCD Comic Data
R-xlcharts0.0.2-lp156.2.1Create Native \'Excel\' Charts and Work with Microsoft \'Exc
R-xlcutter0.1.1-lp156.1.1Parse Batches of \'xlsx\' Files Based on a Template
R-xlink1.0.1-lp156.2.1Genetic Association Models for X-Chromosome SNPS on Continuo
R-XLS0.1.0-lp156.9.1A Modeling Approach that Optimizes Future Errors in Least Sq
R-xlsx2dfs0.1.0-lp156.7.1Read and Write \'Excel\' Sheets into and from List of Data F
R-xlutils30.1.0-lp156.12.1Extract Multiple Excel Files at Once
R-xmeta1.3.2-lp156.1.1A Toolbox for Multivariate Meta-Analysis
R-Xmisc0.2.1-lp156.2.1Xiaobei\'s miscellaneous classes and functions
R-xml21.3.6-lp156.1.1Parse XML
R-XML2R0.0.8-lp156.1.1Easier XML Data Collection
R-xml2relational0.1.1-lp156.10.1Converting XML Documents into Relational Data Models
R-xmlconvert0.1.2-lp156.14.1Comfortably Converting XML Documents to Dataframes and Vice
R-xmlparsedata1.0.5-lp156.1.1Parse Data of \'R\' Code as an \'XML\' Tree
R-xmlr0.1.2-lp156.2.1Read, Write and Work with \'XML\' Data
R-xmlrpc21.1-lp156.3.1Implementation of the Remote Procedure Call Protocol (\'XML-
R-xmpdf0.2.1-lp156.2.1Edit \'XMP\' Metadata and \'PDF\' Bookmarks and Documentatio
R-xnet0.1.11-lp156.2.1Two-Step Kernel Ridge Regression for Network Predictions
R-XNomial1.0.4-lp156.2.1Exact Goodness-of-Fit Test for Multinomial Data with Fixed P
R-xoi0.72-lp156.1.1Tools for Analyzing Crossover Interference
R-xopen1.0.1-lp156.2.1Open System Files, \'URLs\', Anything
R-xplain0.2.2-lp156.13.1Providing Interactive Interpretations and Explanations of St
R-xptr1.1.3-lp156.2.1Manipulating External Pointer
R-XR0.7.2-lp156.2.1A Structure for Interfaces from R
R-xray0.2-lp156.20.1X Ray Vision on your Datasets
R-XRJulia0.9.0.1-lp156.2.1Structured Interface to Julia
R-XRPython0.8-lp156.7.1Structured Interface to \'Python\'
R-XRSCC0.1-lp156.2.1Statistical Quality Control Simulation
R-xsp0.1.2-lp156.15.1The Chi-Square Periodogram
R-xspliner0.0.4-lp156.13.1Assisted Model Building, using Surrogate Black-Box Models to
R-xSub3.0.2-lp156.7.1Cross-National Data on Sub-National Violence
R-xtable1.8.4-lp156.2.1Export tables to LaTeX or HTML
R-xtal1.15-lp156.2.1Crystallization Toolset
R-xtermStyle3.0.5-lp156.2.1Terminal Text Formatting Using Escape Sequences
R-xtranat0.1.0-lp156.1.1Network Metrics Based on Random Walks
R-xtreg2way1.0.0-lp156.2.1Feasible Estimation of the Two-Way Fixed Effect Model
R-xts0.14.0-lp156.1.1Extensible Time Series
R-xVA1.1-lp156.3.1Calculates Credit Risk Valuation Adjustments
R-xwf0.2.3-lp156.2.1Extrema-Weighted Feature Extraction
R-xxhashlite0.2.2-lp156.2.1Extremely Fast Hashing of R Objects, Raw Data and Files usin
R-xyloplot2.0-lp156.2.1A Method for Creating Xylophone-Like Frequency Density Plots
R-yacca1.4.2-lp156.1.1Yet Another Canonical Correlation Analysis Package
R-yaConsensus1.0-lp156.4.1Consensus Clustering of Omic Data
R-yager0.1.1-lp156.4.1Yet Another General Regression Neural Network
R-yahoofinancer0.3.0-lp156.1.1Fetch Data from Yahoo Finance API
R-YaleToolkit4.2.3-lp156.1.1Data Exploration Tools from Yale University
R-yap0.1.1-lp156.3.1Yet Another Probabilistic Neural Network
R-yardstick1.3.1-lp156.2.1Tidy Characterizations of Model Performance
R-yarr0.1.2-lp156.2.1Yet Another \'ARFF\' Reader
R-yasp0.2.0-lp156.2.1String Functions for Compact R Code
R-yatah1.0.0-lp156.2.1Yet Another TAxonomy Handler
R-YatesAlgo.FactorialExp.SR4.0.4-lp156.5.1Yates\' Algorithm in 2^n Factorial Experiment
R-ycinterextra0.1-lp156.2.1Yield curve or zero-coupon prices interpolation and extrapol
R-yfR1.1.0-lp156.3.1Downloads and Organizes Financial Data from Yahoo Finance
R-yhat2.0.4-lp156.1.1Interpreting Regression Effects
R-yhatr0.15.1-lp156.7.1R Binder for the Yhat API
R-YieldCurve5.1-lp156.1.1Modelling and Estimation of the Yield Curve
R-ykmeans1.0-lp156.2.1K-means using a target variable
R-yll1.0.0-lp156.2.1Compute Expected Years of Life Lost (YLL) and Average YLL
R-Ymisc0.1.0-lp156.1.1Miscellaneous Functions
R-yodel1.0.0-lp156.2.1A General Bayesian Model Averaging Helper
R-yonder0.2.0-lp156.7.1A Reactive Web Framework Built on \'shiny\'
R-yorkr0.0.42-lp156.2.1Analyze Cricket Performances Based on Data from Cricsheet
R-yotover0.3.5-lp156.5.1An Advanced Guide to Trade Policy Analysis
R-youngSwimmers0.0.1-lp156.3.1Young Swimmers Dataset
R-yowie0.1.0-lp156.4.1Longitudinal Wages Data from the National Longitudinal Surve
R-YPmodel1.4-lp156.2.1The Short-Term and Long-Term Hazard Ratio Model for Survival
R-YPmodelPhreg1.0.0-lp156.1.1The Short-Term and Long-Term Hazard Ratio Model with Proport
R-ypr0.6.0-lp156.6.1Yield Per Recruit
R-YRmisc0.1.6-lp156.14.1Y&R Miscellaneous R Functions
R-yum0.1.0-lp156.1.1Utilities to Extract and Process \'YAML\' Fragments
R-yummlyr0.1.1-lp156.2.1R Bindings for Yummly API
R-Z100.1.0-lp156.17.1Simple Ecological Statistics from the NEON Network
R-zalpha0.3.0-lp156.1.1Run a Suite of Selection Statistics
R-zbank0.1.0-lp156.9.1\'ZooBank\' API Client
R-zCompositions1.5.0.4-lp156.1.1Treatment of Zeros, Left-Censored and Missing Values in Comp
R-zctaCrosswalk2.0.0-lp156.2.1Crosswalk Between 2020 Census ZIP Code Tabulation Areas (ZCT
R-zdeskR0.4.1-lp156.2.1Connect to Your \'Zendesk\' Data
R-zeallot0.1.0-lp156.2.1Multiple, Unpacking, and Destructuring Assignment
R-ZeBook1.1-lp156.4.1Working with Dynamic Models for Agriculture and Environment
R-zendeskR0.4-lp156.4.1Zendesk API Wrapper
R-zendown0.1.0-lp156.2.1Access Files from \'Zenodo\' Deposits
R-zeroEQpart0.1.0-lp156.2.1Zero Order vs (Semi) Partial Correlation Test and CI
R-zfit0.4.0-lp156.1.1Fit Models in a Pipe
R-ZIBBSeqDiscovery1.0-lp156.2.1Zero-Inflated Beta-Binomial Modeling of Microbiome Count Dat
R-ZIBR1.0.2-lp156.1.1A Zero-Inflated Beta Random Effect Model
R-ZIBseq1.2-lp156.2.1Differential Abundance Analysis for Metagenomic Data via Zer
R-ZillowR1.0.0-lp156.1.1R Interface to Zillow Real Estate and Mortgage Data API
R-ZIM1.1.0-lp156.2.1Zero-Inflated Models (ZIM) for Count Time Series with Excess
R-ZINAR10.1.0-lp156.3.1Simulates ZINAR(1) Model and Estimates Its Parameters Under
R-ZINARp0.1.0-lp156.4.1Simulate INAR/ZINAR(p) Models and Estimate Its Parameters
R-zip2.3.1-lp156.1.1Cross-Platform \'zip\' Compression
R-zipangu0.3.2-lp156.4.1Japanese Utility Functions and Data
R-zipcodeR0.3.5-lp156.11.1Data & Functions for Working with US ZIP Codes
R-zipfR0.6.70-lp156.2.1Statistical models for word frequency distributions
R-ZIPG1.1-lp156.1.1Zero-Inflated Poisson-Gamma Regression
R-zipR0.1.1-lp156.2.1Pythonic Zip() for R
R-ZipRadius1.0.1-lp156.9.1Creates a Data Frame of US Zip Codes in a Given Radius from
R-ZIprop0.1.1-lp156.3.1Permutations Tests and Performance Indicator for Zero-Inflat
R-zipsae1.0.2-lp156.1.1Small Area Estimation with Zero-Inflated Model
R-zlog1.0.2-lp156.1.1Z(log) Transformation for Laboratory Measurements
R-zmisc0.2.3-lp156.1.1Vector Look-Ups and Safer Sampling
R-zoeppritz1.0.9-lp156.1.1Seismic Reflection and Scattering Coefficients
R-ZOIP0.1-lp156.1.1ZOIP Distribution, ZOIP Regression, ZOIP Mixed Regression
R-zoo1.8.12-lp156.1.1S3 Infrastructure for Regular and Irregular Time Series (Z\'
R-zooaRch1.2-lp156.14.1Analytical Tools for Zooarchaeological Data
R-zoocat0.2.0.1-lp156.1.1\'zoo\' Objects with Column Attributes
R-ZooID0.2.0-lp156.1.1Load, Segment and Classify Zooplankton Images
R-zoolog1.1.0-lp156.3.1Zooarchaeological Analysis with Log-Ratios
R-zoom2.0.6-lp156.1.1A Spatial Data Visualization Tool
R-zoomr0.3.0-lp156.2.1Connect to Your \'Zoom\' Data
R-zscorer0.3.1-lp156.13.1Child Anthropometry z-Score Calculator
R-Zseq0.2.1-lp156.1.1Integer Sequence Generator
R-zTree1.0.7-lp156.2.1Functions to Import Data from \'z-Tree\' into R
R-ztype0.1.0-lp156.21.1Run a Ztype Game Loaded with R Functions
R-zyp0.11.1-lp156.1.1Zhang + Yue-Pilon Trends Package
R-zzlite0.1.2-lp156.2.1Lite Wrapper for the \'Zamzar File Conversion\' API
razor-agents2.85-lp156.144.1SPAM catalogue inquiry and update tool
read-only-root-fs1.0+git20240228.d85232a-slfo.1.1.1Files and Scripts for a RO root fileystem
read-only-root-fs1.0+git20240228.d85232a-slfo.1.1.1Files and Scripts for a RO root fileystem
read-only-root-fs-volatile1.0+git20240228.d85232a-slfo.1.1.1Dracut Module to mount a tmpfs overlay on a RO root
read-only-root-fs-volatile1.0+git20240228.d85232a-slfo.1.1.1Dracut Module to mount a tmpfs overlay on a RO root
registries-conf-default20240618-6.2Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-3.1Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-4.2Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-2.1Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-18.1Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-2.1Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-2.1Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-6.2Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-2.1Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-18.1Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-5.2Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-2.1Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-4.2Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-4.2Add SUSE and openSUSE registries to be used to pull images a
registries-conf-default20240618-4.2Add SUSE and openSUSE registries to be used to pull images a
registries-conf-suse20240618-2.1Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-5.2Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-2.1Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-2.1Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-2.1Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-18.1Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-2.1Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-4.2Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-4.2Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-4.2Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-4.2Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-18.1Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-3.1Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-6.2Defaults to SUSE Registry on SL Micro
registries-conf-suse20240618-6.2Defaults to SUSE Registry on SL Micro
rmilter1.10.0-lp156.3.1Integrate rspamd and milter compatible MTA
rpmlint2.5.0+git20240624.609e1aa-1.2RPM file correctness checker
rpmlint-strict2.5.0+git20240624.609e1aa-1.1RPM file correctness checker
ruby2.5-rubygem-ffi1.17.0-lp155.2.1Ruby FFI
ruby2.5-rubygem-ffi1.17.0-150600.2.1Ruby FFI
ruby2.5-rubygem-ffi1.17.0-150500.2.1Ruby FFI
ruby2.5-rubygem-ffi1.17.0-150400.2.1Ruby FFI
ruby2.5-rubygem-ffi-doc1.17.0-150500.2.1RDoc documentation for ffi
ruby2.5-rubygem-ffi-doc1.17.0-lp155.2.1RDoc documentation for ffi
ruby2.5-rubygem-ffi-doc1.17.0-150400.2.1RDoc documentation for ffi
ruby2.5-rubygem-ffi-doc1.17.0-150600.2.1RDoc documentation for ffi
ruby2.5-rubygem-mini_magick4.13.1-lp156.28.2Manipulate images with minimal use of memory via ImageMagick
ruby2.7-rubygem-mini_magick4.13.1-lp156.28.2Manipulate images with minimal use of memory via ImageMagick
ruby3.1-rubygem-mini_magick4.13.1-lp156.28.2Manipulate images with minimal use of memory via ImageMagick
ruby3.1-rubygem-thor1.3.1-2.1Thor is a toolkit for building powerful command-line interfa
ruby3.2-rubygem-fast_gettext2.3.0-slfo.1.1.1A simple, fast, memory-efficient and threadsafe implementati
ruby3.2-rubygem-fast_gettext2.3.0-slfo.1.1.1A simple, fast, memory-efficient and threadsafe implementati
ruby3.2-rubygem-gem2rpm0.10.1-slfo.1.1.1Generate rpm specfiles from gems
ruby3.2-rubygem-gem2rpm0.10.1-slfo.1.1.1Generate rpm specfiles from gems
ruby3.2-rubygem-packaging_rake_tasks1.5.4-slfo.1.1.1Rake tasks providing tasks to package project in git and int
ruby3.2-rubygem-packaging_rake_tasks1.5.4-slfo.1.1.1Rake tasks providing tasks to package project in git and int
ruby3.2-rubygem-rspec3.13.0-slfo.1.1.1meta-gem that depends on the other components
ruby3.2-rubygem-rspec3.13.0-slfo.1.1.1meta-gem that depends on the other components
ruby3.2-rubygem-rspec-core3.13.0-slfo.1.1.1RSpec runner and formatters
ruby3.2-rubygem-rspec-core3.13.0-slfo.1.1.1RSpec runner and formatters
ruby3.2-rubygem-rspec-expectations3.13.1-slfo.1.1.1API to express expected outcomes of a code example
ruby3.2-rubygem-rspec-expectations3.13.1-slfo.1.1.1API to express expected outcomes of a code example
ruby3.2-rubygem-rspec-mocks3.13.1-slfo.1.1.1RSpec\'s \'test double\' framework, with support for stubbin
ruby3.2-rubygem-rspec-mocks3.13.1-slfo.1.1.1RSpec\'s \'test double\' framework, with support for stubbin
ruby3.2-rubygem-rspec-support3.13.1-slfo.1.1.1Common code needed by the other RSpec gems
ruby3.2-rubygem-rspec-support3.13.1-slfo.1.1.1Common code needed by the other RSpec gems
ruby3.2-rubygem-thor1.3.1-2.1Thor is a toolkit for building powerful command-line interfa
selinux-autorelabel3.1-slfo.1.1.1Systemd services to relabel SELinux labels
selinux-autorelabel3.1-slfo.1.1.1Systemd services to relabel SELinux labels
sendmailanalyzer9.4-lp156.1.1A free Sendmail/Postfix log analyzer
sendmailanalyzer-www9.4-lp156.1.1Webserver Part for SendmailAnalyzer
shadow4.16.0-1.1Utilities to Manage User and Group Accounts
shadow4.16.0-2.1Utilities to Manage User and Group Accounts
shadow4.16.0-4.1Utilities to Manage User and Group Accounts
shadow4.16.0-2.1Utilities to Manage User and Group Accounts
shadow4.16.0-1.1Utilities to Manage User and Group Accounts
sieve-connect0.90-lp156.1.1ManageSieve Client
simde-devel0.8.2+git20240621.c903416-1.1Fallback implementation for SIMD intrinsics
simde-devel0.8.2+git20240621.c903416-1.1Fallback implementation for SIMD intrinsics
simde-devel0.8.2+git20240621.c903416-1.1Fallback implementation for SIMD intrinsics
simde-devel0.8.2+git20240621.c903416-8.4Fallback implementation for SIMD intrinsics
simde-devel0.8.2+git20240621.c903416-8.4Fallback implementation for SIMD intrinsics
skelcd-control-openSUSE20240516-slfo.1.1.1The openSUSE Installation Control file
skelcd-control-openSUSE20240516-slfo.1.1.1The openSUSE Installation Control file
slrn1.0.3-lp156.45.1Threaded Newsreader
slrn-lang1.0.3-lp156.45.1Translations for package slrn
smb4k3.2.5-lp156.8.1Advanced network neighborhood browser for Samba
sos4.7.1-3.el9.alma.1A set of tools to gather troubleshooting information from a
sos4.7.1-3.el8_10.alma.1A set of tools to gather troubleshooting information from a
sos-audit4.7.1-3.el8_10.alma.1Audit use of some commands for support purposes
sos-audit4.7.1-3.el9.alma.1Audit use of some commands for support purposes
sound-theme-freedesktop0.8-slfo.1.1.1freedesktop.org sound theme
sound-theme-freedesktop0.8-slfo.1.1.1freedesktop.org sound theme
spamass-milter0.4.0-lp156.11.1Milter (mail filter) for spamassassin
sqlgrey1.8.0rc2-lp156.3.1Postfix SQL based grey-listing policy service
sqlgrey1.8.0rc2-lp156.3.1Postfix SQL based grey-listing policy service
suse-module-tools16.0.45-1.1Configuration for module loading and SUSE-specific utilities
suse-module-tools16.0.45-1.0.2.1.sr20240605Configuration for module loading and SUSE-specific utilities
suse-module-tools-scriptlets16.0.45-1.1Kernel rpm scriptlets
suse-module-tools-scriptlets16.0.45-1.0.2.1.sr20240605Kernel rpm scriptlets
swaks20240103.0-lp156.25.1Swiss Army Knife for SMTP
system-user-garage1.0.0-150600.1.1System user and group \'garage\'
system-user-garage1.0.0-150500.1.1System user and group \'garage\'
system-user-grommunio7-lp156.8.1General grommunio system user identities
system-user-gromox7-lp156.14.1System user and group gromox
systemd255.7-3.0.4.1.sr20240605A System and Session Manager
systemd255.7-3.1A System and Session Manager
systemd-32bit255.7-3.1A System and Session Manager
systemd-boot255.7-3.0.4.1.sr20240605A simple UEFI boot manager
systemd-boot255.7-3.1A simple UEFI boot manager
systemd-container255.7-3.1Systemd tools for container management
systemd-container255.7-3.0.4.1.sr20240605Systemd tools for container management
systemd-devel255.7-3.1Development files for libsystemd and libudev
systemd-devel255.7-3.0.4.1.sr20240605Development files for libsystemd and libudev
systemd-doc255.7-3.1Additional documentation or doc formats for systemd
systemd-experimental255.7-3.1Experimental systemd features
systemd-experimental255.7-3.0.4.1.sr20240605Experimental systemd features
systemd-homed255.7-3.1Home Area/User Account Manager
systemd-homed255.7-3.0.4.1.sr20240605Home Area/User Account Manager
systemd-journal-remote255.7-3.0.4.1.sr20240605Gateway for serving journal events over the network using HT
systemd-journal-remote255.7-3.1Gateway for serving journal events over the network using HT
systemd-lang255.7-3.1Translations for package systemd
systemd-mini255.7-3.0.4.1.sr20240605A System and Session Manager
systemd-mini255.7-3.1A System and Session Manager
systemd-mini-container255.7-3.1Systemd tools for container management
systemd-mini-container255.7-3.0.4.1.sr20240605Systemd tools for container management
systemd-mini-devel255.7-3.1Development files for libsystemd and libudev
systemd-mini-devel255.7-3.0.4.1.sr20240605Development files for libsystemd and libudev
systemd-network255.7-3.1systemd network and Network Name Resolution managers
systemd-network255.7-3.0.4.1.sr20240605systemd network and Network Name Resolution managers
systemd-portable255.7-3.1Systemd tools for portable services
systemd-portable255.7-3.0.4.1.sr20240605Systemd tools for portable services
systemd-sysvcompat255.7-3.1SySV and LSB init script support for systemd (deprecated)
systemd-sysvcompat255.7-3.0.4.1.sr20240605SySV and LSB init script support for systemd (deprecated)
systemd-testsuite255.7-3.0.4.1.sr20240605Testsuite for systemd
systemd-testsuite255.7-3.1Testsuite for systemd
testdisk7.2-lp155.19.2Tool to Recover and Fix Partitions
testdisk7.2-lp154.19.2Tool to Recover and Fix Partitions
texlab5.17.0-1.1Implementation of the Language Server Protocol for LaTeX
texlab5.17.0-1.1Implementation of the Language Server Protocol for LaTeX
texlab5.17.0-66.5Implementation of the Language Server Protocol for LaTeX
texlab5.17.0-65.6Implementation of the Language Server Protocol for LaTeX
texlab5.17.0-66.5Implementation of the Language Server Protocol for LaTeX
texlab5.17.0-66.5Implementation of the Language Server Protocol for LaTeX
texlab5.17.0-65.9Implementation of the Language Server Protocol for LaTeX
texlab5.17.0-1.1Implementation of the Language Server Protocol for LaTeX
texlab5.17.0-66.5Implementation of the Language Server Protocol for LaTeX
tin2.6.0-lp156.1.1Threaded NNTP and spool-based UseNet news reader
tinycdb0.78-lp156.4.1Constant Database manipulation library
tinycdb-devel0.78-lp156.4.1Development files for TinyCDB
tnef1.4.18-lp156.169.1Uncompress MS-TNEF archives
totem-pl-parser3.26.6-slfo.1.3.2A GObject-based library to parse playlist formats
totem-pl-parser3.26.6-slfo.1.3.2A GObject-based library to parse playlist formats
totem-pl-parser-devel3.26.6-slfo.1.3.2Development files for the Totem playlist parser library
totem-pl-parser-devel3.26.6-slfo.1.3.2Development files for the Totem playlist parser library
totem-pl-parser-lang3.26.6-slfo.1.3.2Translations for package totem-pl-parser
totem-pl-parser-lang3.26.6-slfo.1.3.2Translations for package totem-pl-parser
tree-sitter-bash0.21.0-lp155.3.2Bash grammar for tree-sitter
tree-sitter-css0.20.0-lp155.3.2CSS grammar for tree-sitter
tree-sitter-go0.21.0-lp155.5.2Go grammar for tree-sitter
tree-sitter-go0.20.0-lp155.2.2Go grammar for tree-sitter
tree-sitter-go-mod1.0.2-lp155.1.2A tree-sitter grammar for go.mod files
tree-sitter-html0.20.2-lp155.3.2HTML grammar for tree-sitter
tree-sitter-java0.21.0-lp155.7.2Java grammar for Tree-sitter
tree-sitter-javascript0.21.0-lp155.5.2Javascript grammar for tree-sitter
tree-sitter-javascript-devel0.21.0-lp155.5.2Devel package for tree-sitter-javascript containing it\'s gr
tree-sitter-json0.21.0-lp155.5.2Json grammar for tree-sitter
tree-sitter-php0.21.1-lp155.2.2PHP grammar for tree-sitter
tree-sitter-python0.21.0-lp155.5.2Python grammar for tree-sitter
tree-sitter-qmldir0.2.2.12.6b2b5e4-lp155.3.2Qmldir grammar for tree-sitter
tree-sitter-ruby0.20.1-lp155.3.2Ruby grammar for tree-sitter
tree-sitter-rust0.21.2-lp155.6.2Rust grammar for tree-sitter
tree-sitter-typescript0.20.6-lp155.3.2Typescript grammar for tree-sitter
tree-sitter-typescript-devel0.20.6-lp155.3.2Devel package for tree-sitter-typescript containing it\'s gr
tree-sitter-xml0.6.2-lp155.5.2Xml grammar for tree-sitter
typelib-1_0-Gee-0_80.20.6-slfo.1.3.3Introspection bindings for Libgee
typelib-1_0-Gee-0_80.20.6-slfo.1.3.3Introspection bindings for Libgee
typelib-1_0-GeocodeGlib-1_03.26.4-slfo.1.3.1Introspection bindings for geocode-glib
typelib-1_0-GeocodeGlib-1_03.26.4-slfo.1.3.1Introspection bindings for geocode-glib
typelib-1_0-GeocodeGlib-2_03.26.4-slfo.1.3.1Introspection bindings for geocode-glib
typelib-1_0-GeocodeGlib-2_03.26.4-slfo.1.3.1Introspection bindings for geocode-glib
typelib-1_0-GMenu-3_03.36.0-slfo.1.4.1The GNOME Desktop Menu -- Introspection bindings
typelib-1_0-GMenu-3_03.36.0-slfo.1.4.1The GNOME Desktop Menu -- Introspection bindings
typelib-1_0-NM-1_01.48.2-1.1Introspection bindings for the NetworkManager client conveni
typelib-1_0-TotemPlParser-1_03.26.6-slfo.1.3.2Introspection bindings for the Totem playlist parser library
typelib-1_0-TotemPlParser-1_03.26.6-slfo.1.3.2Introspection bindings for the Totem playlist parser library
typelib-1_0-XApp-1_02.8.4-1.7XApp library -- Introspection bindings
typelib-1_0-XApp-1_02.8.4-1.7XApp library -- Introspection bindings
typelib-1_0-XApp-1_02.8.4-lp156.1.1XApp library -- Introspection bindings
typelib-1_0-XApp-1_02.8.4-1.3XApp library -- Introspection bindings
typelib-1_0-Xkl-1_05.4-slfo.1.3.2Introspection bindings for libxklavier
typelib-1_0-Xkl-1_05.4-slfo.1.3.2Introspection bindings for libxklavier
typelib-1_0-XreaderDocument-1_54.2.1-1.2XReaderDocument -- Introspection Bindings
typelib-1_0-XreaderDocument-1_54.2.1-lp156.1.1XReaderDocument -- Introspection Bindings
typelib-1_0-XreaderDocument-1_54.2.1-1.6XReaderDocument -- Introspection Bindings
typelib-1_0-XreaderDocument-1_54.2.1-1.6XReaderDocument -- Introspection Bindings
typelib-1_0-XreaderView-1_54.2.1-1.2XReaderView -- Introspection Bindings
typelib-1_0-XreaderView-1_54.2.1-lp156.1.1XReaderView -- Introspection Bindings
typelib-1_0-XreaderView-1_54.2.1-1.6XReaderView -- Introspection Bindings
typelib-1_0-XreaderView-1_54.2.1-1.6XReaderView -- Introspection Bindings
udev255.7-3.1A Rule-Based Device Node and Kernel Event Manager
udev255.7-3.0.4.1.sr20240605A Rule-Based Device Node and Kernel Event Manager
udev-mini255.7-3.0.4.1.sr20240605A Rule-Based Device Node and Kernel Event Manager
udev-mini255.7-3.1A Rule-Based Device Node and Kernel Event Manager
vagrant2.3.7-7.1Tool for building and distributing virtualized development e
vagrant2.3.7-7.1Tool for building and distributing virtualized development e
vagrant2.3.7-12.1Tool for building and distributing virtualized development e
vagrant2.4.1-24.2Tool for building and distributing virtualized development e
vagrant2.3.7-7.1Tool for building and distributing virtualized development e
vagrant-bash-completion2.3.7-12.1Vagrant bash autocompletion
vagrant-bash-completion2.3.7-7.1Vagrant bash autocompletion
vagrant-bash-completion2.3.7-7.1Vagrant bash autocompletion
vagrant-bash-completion2.3.7-7.1Vagrant bash autocompletion
vagrant-bash-completion2.4.1-24.2Vagrant bash autocompletion
vagrant-doc2.3.7-7.1Documentation for vagrant
vagrant-doc2.3.7-7.1Documentation for vagrant
vagrant-doc2.3.7-7.1Documentation for vagrant
vagrant-doc2.3.7-12.1Documentation for vagrant
vagrant-doc2.4.1-24.2Documentation for vagrant
vagrant-emacs2.3.7-7.1Vagrantfile syntax files for the emacs editor
vagrant-emacs2.3.7-7.1Vagrantfile syntax files for the emacs editor
vagrant-emacs2.3.7-7.1Vagrantfile syntax files for the emacs editor
vagrant-emacs2.4.1-24.2Vagrantfile syntax files for the emacs editor
vagrant-emacs2.3.7-12.1Vagrantfile syntax files for the emacs editor
vagrant-vim2.3.7-7.1Vagrantfile syntax files for the vim editor
vagrant-vim2.3.7-12.1Vagrantfile syntax files for the vim editor
vagrant-vim2.4.1-24.2Vagrantfile syntax files for the vim editor
vagrant-vim2.3.7-7.1Vagrantfile syntax files for the vim editor
vagrant-vim2.3.7-7.1Vagrantfile syntax files for the vim editor
vanessa_adt-devel0.0.9-lp156.3.1Headers and static libraries for development
vanessa_logger-devel0.0.10-lp156.4.1Headers and static libraries for development
vanessa_logger-sample0.0.10-lp156.4.1Example programme that demonstrates vanessa_logger
vanessa_socket-devel0.0.12-lp156.4.1Headers and static libraries for development
vanessa_socket-pipe0.0.12-lp156.4.1Trivial TCP/IP pipe build using libvanessa_adt
variety0.8.12-slfo.1.1.2Wallpaper changer
variety0.8.12-slfo.1.1.2Wallpaper changer
vcpkg202303282-lp155.3.1C++ Library Manager for Windows, Linux, and MacOS
vcpkg202303282-lp156.3.1C++ Library Manager for Windows, Linux, and MacOS
vilistextum2.6.9-lp156.4.1Convert HTML to text with hyperlink references
vrfy990522-lp156.478.1Tool to verify e-mail addresses and mailing lists
vulkan-devel1.3.283.0-slfo.1.1.1Vulkan development package
vulkan-devel1.3.283.0-slfo.1.1.1Vulkan development package
vulkan-headers1.3.283.0-slfo.1.1.1Vulkan C and C++ API header files
vulkan-headers1.3.283.0-slfo.1.1.1Vulkan C and C++ API header files
wayland-protocols-devel1.36-slfo.1.1.1Wayland protocols that add functionality not available in th
wayland-protocols-devel1.36-slfo.1.1.1Wayland protocols that add functionality not available in th
weakforced2.8.0-lp155.2.7Distributed detection of brute forcing of passwords
weakforced2.8.0-lp156.2.1Distributed detection of brute forcing of passwords
weakforced-trackalert2.8.0-lp155.2.7Longterm abuse data reporting and alerter
weakforced-trackalert2.8.0-lp156.2.1Longterm abuse data reporting and alerter
wine-doors0.1.3-lp155.1.2An application designed to make installing windows software
xapp-common2.8.4-1.7Common files for XApp desktop applications
xapp-common2.8.4-1.7Common files for XApp desktop applications
xapp-common2.8.4-1.3Common files for XApp desktop applications
xapp-common2.8.4-lp156.1.1Common files for XApp desktop applications
xapp-common-lang2.8.4-lp156.1.1Translations for package xapp
xapp-common-lang2.8.4-1.3Translations for package xapp-common
xapp-common-lang2.8.4-1.7Translations for package xapp-common
xapp-mate2.8.4-1.7Mate status applet with HIDPI support
xapp-mate2.8.4-1.3Mate status applet with HIDPI support
xapp-mate2.8.4-lp156.1.1Mate status applet with HIDPI support
xapp-thumbnailers1.2.5-lp156.1.1Thumbnailers for GTK Desktop Environments
xapp-thumbnailers1.2.5-1.3Thumbnailers for GTK Desktop Environments
xapp-thumbnailers1.2.5-1.2Thumbnailers for GTK Desktop Environments
xcb-proto-devel7.6_1.17.0-slfo.1.1.1The X11 Protocol: X Protocol C Bindings
xcb-proto-devel7.6_1.17.0-slfo.1.1.1The X11 Protocol: X Protocol C Bindings
xdg-desktop-portal-xapp1.0.7-1.5A backend implementation for xdg-desktop-portal
xdg-desktop-portal-xapp1.0.7-lp156.1.1A backend implementation for xdg-desktop-portal
xdg-desktop-portal-xapp1.0.7-1.5A backend implementation for xdg-desktop-portal
xdg-desktop-portal-xapp1.0.7-1.2A backend implementation for xdg-desktop-portal
xed3.6.3-1.9A text editor with highlighting
xed3.6.3-1.3A text editor with highlighting
xed3.6.3-lp156.1.1A text editor with highlighting
xed3.6.3-1.9A text editor with highlighting
xed-devel3.6.3-lp156.1.1Development files for Xed, a text editor
xed-devel3.6.3-1.9Development files for Xed, a text editor
xed-devel3.6.3-1.3Development files for Xed, a text editor
xed-devel3.6.3-1.9Development files for Xed, a text editor
xed-lang3.6.3-lp156.1.1Translations for package xed
xed-lang3.6.3-1.3Translations for package xed
xed-lang3.6.3-1.9Translations for package xed
xen4.18.2_06-1.0.4.1.sr20240605Xen Virtualization: Hypervisor (aka VMM aka Microkernel)
xen4.18.2_06-1.1Xen Virtualization: Hypervisor (aka VMM aka Microkernel)
xen4.18.2_06-lp154.865.1Xen Virtualization: Hypervisor (aka VMM aka Microkernel)
xen-devel4.18.2_06-1.1Xen Virtualization: Headers and libraries for development
xen-devel4.18.2_06-1.0.4.1.sr20240605Xen Virtualization: Headers and libraries for development
xen-devel4.18.2_06-lp154.865.1Xen Virtualization: Headers and libraries for development
xen-doc-html4.18.2_06-lp154.865.1Xen Virtualization: HTML documentation
xen-doc-html4.18.2_06-1.0.4.1.sr20240605Xen Virtualization: HTML documentation
xen-doc-html4.18.2_06-1.1Xen Virtualization: HTML documentation
xen-libs4.18.2_06-1.0.4.1.sr20240605Xen Virtualization: Libraries
xen-libs4.18.2_06-lp154.865.1Xen Virtualization: Libraries
xen-libs4.18.2_06-1.1Xen Virtualization: Libraries
xen-tools4.18.2_06-lp154.865.1Xen Virtualization: Control tools for domain 0
xen-tools4.18.2_06-1.1Xen Virtualization: Control tools for domain 0
xen-tools4.18.2_06-1.0.4.1.sr20240605Xen Virtualization: Control tools for domain 0
xen-tools-domU4.18.2_06-1.0.4.1.sr20240605Xen Virtualization: Control tools for domain U
xen-tools-domU4.18.2_06-1.1Xen Virtualization: Control tools for domain U
xen-tools-domU4.18.2_06-lp154.865.1Xen Virtualization: Control tools for domain U
xen-tools-xendomains-wait-disk4.18.2_06-1.1Adds a new xendomains-wait-disks.service
xen-tools-xendomains-wait-disk4.18.2_06-lp154.865.1Adds a new xendomains-wait-disks.service
xreader4.2.1-1.2Document viewer for documents like PDF/PostScript
xreader4.2.1-1.6Document viewer for documents like PDF/PostScript
xreader4.2.1-lp156.1.1Document viewer for documents like PDF/PostScript
xreader4.2.1-1.6Document viewer for documents like PDF/PostScript
xreader-devel4.2.1-1.6X-Apps Document Reader development files
xreader-devel4.2.1-1.2X-Apps Document Reader development files
xreader-devel4.2.1-1.6X-Apps Document Reader development files
xreader-devel4.2.1-lp156.1.1X-Apps Document Reader development files
xreader-lang4.2.1-1.6Translations for package xreader
xreader-lang4.2.1-1.2Translations for package xreader
xreader-lang4.2.1-lp156.1.1Translations for package xreader
xreader-plugin-comicsdocument4.2.1-1.2Comics document support for Xreader
xreader-plugin-comicsdocument4.2.1-1.6Comics document support for Xreader
xreader-plugin-comicsdocument4.2.1-1.6Comics document support for Xreader
xreader-plugin-comicsdocument4.2.1-lp156.1.1Comics document support for Xreader
xreader-plugin-djvudocument4.2.1-1.6DjVu document support for Xreader
xreader-plugin-djvudocument4.2.1-1.6DjVu document support for Xreader
xreader-plugin-djvudocument4.2.1-lp156.1.1DjVu document support for Xreader
xreader-plugin-djvudocument4.2.1-1.2DjVu document support for Xreader
xreader-plugin-dvidocument4.2.1-1.6DVI document support for Xreader
xreader-plugin-dvidocument4.2.1-1.6DVI document support for Xreader
xreader-plugin-dvidocument4.2.1-lp156.1.1DVI document support for Xreader
xreader-plugin-dvidocument4.2.1-1.2DVI document support for Xreader
xreader-plugin-epubdocument4.2.1-1.6EPUB document support for Xreader
xreader-plugin-epubdocument4.2.1-lp156.1.1EPUB document support for Xreader
xreader-plugin-epubdocument4.2.1-1.6EPUB document support for Xreader
xreader-plugin-epubdocument4.2.1-1.2EPUB document support for Xreader
xreader-plugin-pdfdocument4.2.1-1.6PDF document support for Xreader
xreader-plugin-pdfdocument4.2.1-1.6PDF document support for Xreader
xreader-plugin-pdfdocument4.2.1-lp156.1.1PDF document support for Xreader
xreader-plugin-pdfdocument4.2.1-1.2PDF document support for Xreader
xreader-plugin-pixbufdocument4.2.1-1.6Pixbuf document support for Xreader
xreader-plugin-pixbufdocument4.2.1-1.2Pixbuf document support for Xreader
xreader-plugin-pixbufdocument4.2.1-lp156.1.1Pixbuf document support for Xreader
xreader-plugin-pixbufdocument4.2.1-1.6Pixbuf document support for Xreader
xreader-plugin-psdocument4.2.1-1.6PostScript document support for Xreader
xreader-plugin-psdocument4.2.1-1.6PostScript document support for Xreader
xreader-plugin-psdocument4.2.1-1.2PostScript document support for Xreader
xreader-plugin-psdocument4.2.1-lp156.1.1PostScript document support for Xreader
xreader-plugin-tiffdocument4.2.1-1.6TIFF document support for Xreader
xreader-plugin-tiffdocument4.2.1-1.6TIFF document support for Xreader
xreader-plugin-tiffdocument4.2.1-lp156.1.1TIFF document support for Xreader
xreader-plugin-tiffdocument4.2.1-1.2TIFF document support for Xreader
xreader-plugin-xpsdocument4.2.1-1.6XPS document support for Xreader
xreader-plugin-xpsdocument4.2.1-1.2XPS document support for Xreader
xreader-plugin-xpsdocument4.2.1-1.6XPS document support for Xreader
xreader-plugin-xpsdocument4.2.1-lp156.1.1XPS document support for Xreader
xt7-player-mpv0.37.3190-1.fc41Qt/Gambas gui to mpv media player
xt7-player-mpv0.37.3190-1.fc41Qt/Gambas gui to mpv media player
xt7-player-mpv0.37.3190-1.fc41Qt/Gambas gui to mpv media player
xviewer3.4.5-1.2Fast and functional graphics viewer
xviewer3.4.5-lp156.1.1Fast and functional graphics viewer
xviewer3.4.5-1.5Fast and functional graphics viewer
xviewer3.4.5-1.5Fast and functional graphics viewer
xviewer-devel3.4.5-1.5Fast and functional graphics viewer development files
xviewer-devel3.4.5-1.2Fast and functional graphics viewer development files
xviewer-devel3.4.5-lp156.1.1Fast and functional graphics viewer development files
xviewer-devel3.4.5-1.5Fast and functional graphics viewer development files
xviewer-lang3.4.5-1.5Translations for package xviewer
xviewer-lang3.4.5-1.2Translations for package xviewer
xviewer-lang3.4.5-lp156.1.1Translations for package xviewer
xz5.6.2-2.1A Program for Compressing Files with the Lempel–Ziv–Mark
xz-devel5.6.2-2.1Development package for the LZMA library
xz-lang5.6.2-2.1Translations for package xz
xz-static-devel5.6.2-2.1Static version of LZMA library
yast25.0.8-slfo.1.1.1YaST2 Main Package
yast25.0.8-slfo.1.1.1YaST2 Main Package
yast2-installation5.0.11-slfo.1.1.1YaST2 - Installation Parts
yast2-installation5.0.11-slfo.1.1.1YaST2 - Installation Parts
yast2-installation-control5.0.1-slfo.1.1.1YaST2 - RNG schema for installation control files
yast2-installation-control5.0.1-slfo.1.1.1YaST2 - RNG schema for installation control files
yast2-iscsi-client5.0.2-slfo.1.1.1YaST2 - iSCSI Client Configuration
yast2-iscsi-client5.0.2-slfo.1.1.1YaST2 - iSCSI Client Configuration
yast2-logs5.0.8-slfo.1.1.1Scripts for handling YAST logs
yast2-logs5.0.8-slfo.1.1.1Scripts for handling YAST logs
yast2-multipath5.0.0-slfo.1.1.1YaST2 - Multipath configuration
yast2-multipath5.0.0-slfo.1.1.1YaST2 - Multipath configuration
yast2-nfs-client5.0.1-slfo.1.1.1YaST2 - NFS Configuration
yast2-nfs-client5.0.1-slfo.1.1.1YaST2 - NFS Configuration
yast2-nfs-common5.0.1-slfo.1.1.1Configuration of NFS, common parts
yast2-nfs-common5.0.1-slfo.1.1.1Configuration of NFS, common parts
yast2-nfs-server5.0.1-slfo.1.1.1YaST2 - NFS Server Configuration
yast2-nfs-server5.0.1-slfo.1.1.1YaST2 - NFS Server Configuration
yast2-storage-ng5.0.15-slfo.1.3.1YaST2 - Storage Configuration
yast2-storage-ng5.0.15-slfo.1.3.1YaST2 - Storage Configuration
yast2-trans84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Translation Container Package
yast2-trans84.87.20240624.0295c6c7b8-1.1YaST2 - Translation Container Package
yast2-trans84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Translation Container Package
yast2-trans-af84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Afrikaans Translations
yast2-trans-af84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Afrikaans Translations
yast2-trans-af84.87.20240624.0295c6c7b8-1.1YaST2 - Afrikaans Translations
yast2-trans-am84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Amharic Translations
yast2-trans-am84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Amharic Translations
yast2-trans-ar84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Arabic Translations
yast2-trans-ar84.87.20240624.0295c6c7b8-1.1YaST2 - Arabic Translations
yast2-trans-ar84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Arabic Translations
yast2-trans-ast84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Asturian Translations
yast2-trans-ast84.87.20240624.0295c6c7b8-1.1YaST2 - Asturian Translations
yast2-trans-ast84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Asturian Translations
yast2-trans-be84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Byelorussian Translations
yast2-trans-be84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Byelorussian Translations
yast2-trans-bg84.87.20240624.0295c6c7b8-1.1YaST2 - Bulgarian Translations
yast2-trans-bg84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Bulgarian Translations
yast2-trans-bg84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Bulgarian Translations
yast2-trans-bn84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Bengali Translations
yast2-trans-bn84.87.20240624.0295c6c7b8-1.1YaST2 - Bengali Translations
yast2-trans-bn84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Bengali Translations
yast2-trans-bs84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Bosnian Translations
yast2-trans-bs84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Bosnian Translations
yast2-trans-bs84.87.20240624.0295c6c7b8-1.1YaST2 - Bosnian Translations
yast2-trans-ca84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Catalan Translations
yast2-trans-ca84.87.20240624.0295c6c7b8-1.1YaST2 - Catalan Translations
yast2-trans-ca84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Catalan Translations
yast2-trans-cs84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Czech Translations
yast2-trans-cs84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Czech Translations
yast2-trans-cs84.87.20240624.0295c6c7b8-1.1YaST2 - Czech Translations
yast2-trans-cy84.87.20240624.0295c6c7b8-1.1YaST2 - Welsh Translations
yast2-trans-cy84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Welsh Translations
yast2-trans-cy84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Welsh Translations
yast2-trans-da84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Danish Translations
yast2-trans-da84.87.20240624.0295c6c7b8-1.1YaST2 - Danish Translations
yast2-trans-da84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Danish Translations
yast2-trans-de84.87.20240624.0295c6c7b8-1.1YaST2 - German Translations
yast2-trans-de84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - German Translations
yast2-trans-de84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - German Translations
yast2-trans-el84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Greek Translations
yast2-trans-el84.87.20240624.0295c6c7b8-1.1YaST2 - Greek Translations
yast2-trans-el84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Greek Translations
yast2-trans-en_GB84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - British English Translations
yast2-trans-en_GB84.87.20240624.0295c6c7b8-1.1YaST2 - British English Translations
yast2-trans-en_GB84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - British English Translations
yast2-trans-eo84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Esperanto Translations
yast2-trans-eo84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Esperanto Translations
yast2-trans-eo84.87.20240624.0295c6c7b8-1.1YaST2 - Esperanto Translations
yast2-trans-es84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Spanish Translations
yast2-trans-es84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Spanish Translations
yast2-trans-es84.87.20240624.0295c6c7b8-1.1YaST2 - Spanish Translations
yast2-trans-es_AR84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Spanish (Argentina) Translations
yast2-trans-es_AR84.87.20240624.0295c6c7b8-1.1YaST2 - Spanish (Argentina) Translations
yast2-trans-es_AR84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Spanish (Argentina) Translations
yast2-trans-et84.87.20240624.0295c6c7b8-1.1YaST2 - Estonian Translations
yast2-trans-et84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Estonian Translations
yast2-trans-et84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Estonian Translations
yast2-trans-eu84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Esperanto Translations
yast2-trans-eu84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Esperanto Translations
yast2-trans-eu84.87.20240624.0295c6c7b8-1.1YaST2 - Esperanto Translations
yast2-trans-fa84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Persian Translations
yast2-trans-fa84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Persian Translations
yast2-trans-fa84.87.20240624.0295c6c7b8-1.1YaST2 - Persian Translations
yast2-trans-fi84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Finnish Translations
yast2-trans-fi84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Finnish Translations
yast2-trans-fi84.87.20240624.0295c6c7b8-1.1YaST2 - Finnish Translations
yast2-trans-fr84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - French Translations
yast2-trans-fr84.87.20240624.0295c6c7b8-1.1YaST2 - French Translations
yast2-trans-fr84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - French Translations
yast2-trans-gl84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Galician Translations
yast2-trans-gl84.87.20240624.0295c6c7b8-1.1YaST2 - Galician Translations
yast2-trans-gl84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Galician Translations
yast2-trans-gu84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Gujarati Translations
yast2-trans-gu84.87.20240624.0295c6c7b8-1.1YaST2 - Gujarati Translations
yast2-trans-gu84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Gujarati Translations
yast2-trans-he84.87.20240624.0295c6c7b8-1.1YaST2 - Hebrew Translations
yast2-trans-he84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Hebrew Translations
yast2-trans-he84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Hebrew Translations
yast2-trans-hi84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Hindi Translations
yast2-trans-hi84.87.20240624.0295c6c7b8-1.1YaST2 - Hindi Translations
yast2-trans-hi84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Hindi Translations
yast2-trans-hr84.87.20240624.0295c6c7b8-1.1YaST2 - Croatian Translations
yast2-trans-hr84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Croatian Translations
yast2-trans-hr84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Croatian Translations
yast2-trans-hu84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Hungarian Translations
yast2-trans-hu84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Hungarian Translations
yast2-trans-hu84.87.20240624.0295c6c7b8-1.1YaST2 - Hungarian Translations
yast2-trans-id84.87.20240624.0295c6c7b8-1.1YaST2 - Indonesian Translations
yast2-trans-id84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Indonesian Translations
yast2-trans-id84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Indonesian Translations
yast2-trans-it84.87.20240624.0295c6c7b8-1.1YaST2 - Italian Translations
yast2-trans-it84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Italian Translations
yast2-trans-it84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Italian Translations
yast2-trans-ja84.87.20240624.0295c6c7b8-1.1YaST2 - Japanese Translations
yast2-trans-ja84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Japanese Translations
yast2-trans-ja84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Japanese Translations
yast2-trans-jv84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Javanese Translations
yast2-trans-jv84.87.20240624.0295c6c7b8-1.1YaST2 - Javanese Translations
yast2-trans-jv84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Javanese Translations
yast2-trans-ka84.87.20240624.0295c6c7b8-1.1YaST2 - Georgian Translations
yast2-trans-ka84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Georgian Translations
yast2-trans-ka84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Georgian Translations
yast2-trans-kab84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Kabyle Translations
yast2-trans-kab84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Kabyle Translations
yast2-trans-kab84.87.20240624.0295c6c7b8-1.1YaST2 - Kabyle Translations
yast2-trans-km84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Khmer Translations
yast2-trans-km84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Khmer Translations
yast2-trans-km84.87.20240624.0295c6c7b8-1.1YaST2 - Khmer Translations
yast2-trans-kn84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Kannada Translations
yast2-trans-kn84.87.20240624.0295c6c7b8-1.1YaST2 - Kannada Translations
yast2-trans-kn84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Kannada Translations
yast2-trans-ko84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Korean Translations
yast2-trans-ko84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Korean Translations
yast2-trans-ko84.87.20240624.0295c6c7b8-1.1YaST2 - Korean Translations
yast2-trans-ku84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Kurdish Translations
yast2-trans-ku84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Kurdish Translations
yast2-trans-ku84.87.20240624.0295c6c7b8-1.1YaST2 - Kurdish Translations
yast2-trans-lo84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Lao Translations
yast2-trans-lo84.87.20240624.0295c6c7b8-1.1YaST2 - Lao Translations
yast2-trans-lo84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Lao Translations
yast2-trans-lt84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Lithuanian Translations
yast2-trans-lt84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Lithuanian Translations
yast2-trans-lt84.87.20240624.0295c6c7b8-1.1YaST2 - Lithuanian Translations
yast2-trans-lv84.87.20240624.0295c6c7b8-1.1YaST2 - Latvian Translations
yast2-trans-lv84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Latvian Translations
yast2-trans-lv84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Latvian Translations
yast2-trans-mk84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Macedonian Translations
yast2-trans-mk84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Macedonian Translations
yast2-trans-mk84.87.20240624.0295c6c7b8-1.1YaST2 - Macedonian Translations
yast2-trans-mr84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Marathi Translations
yast2-trans-mr84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Marathi Translations
yast2-trans-mr84.87.20240624.0295c6c7b8-1.1YaST2 - Marathi Translations
yast2-trans-ms84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Malay Translations
yast2-trans-ms84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Malay Translations
yast2-trans-my84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Burmese Translations
yast2-trans-my84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Burmese Translations
yast2-trans-nb84.87.20240624.0295c6c7b8-1.1YaST2 - Norwegian Bokmål Translations
yast2-trans-nb84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Norwegian Bokmål Translations
yast2-trans-nb84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Norwegian Bokmål Translations
yast2-trans-nds84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Low Saxonian Translations
yast2-trans-nds84.87.20240624.0295c6c7b8-1.1YaST2 - Low Saxonian Translations
yast2-trans-nds84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Low Saxonian Translations
yast2-trans-ne84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Nepali Translations
yast2-trans-ne84.87.20240624.0295c6c7b8-1.1YaST2 - Nepali Translations
yast2-trans-ne84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Nepali Translations
yast2-trans-nl84.87.20240624.0295c6c7b8-1.1YaST2 - Dutch Translations
yast2-trans-nl84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Dutch Translations
yast2-trans-nl84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Dutch Translations
yast2-trans-nn84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Norwegian Nynorsk
yast2-trans-nn84.87.20240624.0295c6c7b8-1.1YaST2 - Norwegian Nynorsk
yast2-trans-nn84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Norwegian Nynorsk
yast2-trans-pa84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Punjabi Translations
yast2-trans-pa84.87.20240624.0295c6c7b8-1.1YaST2 - Punjabi Translations
yast2-trans-pa84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Punjabi Translations
yast2-trans-pl84.87.20240624.0295c6c7b8-1.1YaST2 - Polish Translations
yast2-trans-pl84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Polish Translations
yast2-trans-pl84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Polish Translations
yast2-trans-ps84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Pashto Translations
yast2-trans-ps84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Pashto Translations
yast2-trans-ps84.87.20240624.0295c6c7b8-1.1YaST2 - Pashto Translations
yast2-trans-pt84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Portuguese Translations
yast2-trans-pt84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Portuguese Translations
yast2-trans-pt84.87.20240624.0295c6c7b8-1.1YaST2 - Portuguese Translations
yast2-trans-pt_BR84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Brazilian Portuguese Translations
yast2-trans-pt_BR84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Brazilian Portuguese Translations
yast2-trans-pt_BR84.87.20240624.0295c6c7b8-1.1YaST2 - Brazilian Portuguese Translations
yast2-trans-ro84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Romanian Translations
yast2-trans-ro84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Romanian Translations
yast2-trans-ro84.87.20240624.0295c6c7b8-1.1YaST2 - Romanian Translations
yast2-trans-ru84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Russian Translations
yast2-trans-ru84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Russian Translations
yast2-trans-ru84.87.20240624.0295c6c7b8-1.1YaST2 - Russian Translations
yast2-trans-si84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Sinhala Translations
yast2-trans-si84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Sinhala Translations
yast2-trans-si84.87.20240624.0295c6c7b8-1.1YaST2 - Sinhala Translations
yast2-trans-sk84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Slovak Translations
yast2-trans-sk84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Slovak Translations
yast2-trans-sk84.87.20240624.0295c6c7b8-1.1YaST2 - Slovak Translations
yast2-trans-sl84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Slovene Translations
yast2-trans-sl84.87.20240624.0295c6c7b8-1.1YaST2 - Slovene Translations
yast2-trans-sl84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Slovene Translations
yast2-trans-sq84.87.20240624.0295c6c7b8-1.1YaST2 - Albanian Translations
yast2-trans-sq84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Albanian Translations
yast2-trans-sq84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Albanian Translations
yast2-trans-sr84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Serbian Translations
yast2-trans-sr84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Serbian Translations
yast2-trans-sr84.87.20240624.0295c6c7b8-1.1YaST2 - Serbian Translations
yast2-trans-sr-latin84.87.20240624.0295c6c7b8-1.1YaST2 - Serbian (Latin) Translations
yast2-trans-sr-latin84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Serbian (Latin) Translations
yast2-trans-sr-latin84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Serbian (Latin) Translations
yast2-trans-sv84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Swedish Translations
yast2-trans-sv84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Swedish Translations
yast2-trans-sv84.87.20240624.0295c6c7b8-1.1YaST2 - Swedish Translations
yast2-trans-sw84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Swahili Translations
yast2-trans-sw84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Swahili Translations
yast2-trans-sw84.87.20240624.0295c6c7b8-1.1YaST2 - Swahili Translations
yast2-trans-ta84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Tamil Translations
yast2-trans-ta84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Tamil Translations
yast2-trans-ta84.87.20240624.0295c6c7b8-1.1YaST2 - Tamil Translations
yast2-trans-tg84.87.20240624.0295c6c7b8-1.1YaST2 - Tajik Translations
yast2-trans-tg84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Tajik Translations
yast2-trans-tg84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Tajik Translations
yast2-trans-th84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Thai Translations
yast2-trans-th84.87.20240624.0295c6c7b8-1.1YaST2 - Thai Translations
yast2-trans-th84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Thai Translations
yast2-trans-tk84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Turkmen Translations
yast2-trans-tk84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Turkmen Translations
yast2-trans-tr84.87.20240624.0295c6c7b8-1.1YaST2 - Turkish Translations
yast2-trans-tr84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Turkish Translations
yast2-trans-tr84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Turkish Translations
yast2-trans-uk84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Ukrainian Translations
yast2-trans-uk84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Ukrainian Translations
yast2-trans-uk84.87.20240624.0295c6c7b8-1.1YaST2 - Ukrainian Translations
yast2-trans-vi84.87.20240624.0295c6c7b8-1.1YaST2 - Vietnamese Translations
yast2-trans-vi84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Vietnamese Translations
yast2-trans-vi84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Vietnamese Translations
yast2-trans-wa84.87.20240624.0295c6c7b8-1.1YaST2 - Walloon Translations
yast2-trans-wa84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Walloon Translations
yast2-trans-wa84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Walloon Translations
yast2-trans-xh84.87.20240624.0295c6c7b8-1.1YaST2 - Xhosa Translations
yast2-trans-xh84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Xhosa Translations
yast2-trans-xh84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Xhosa Translations
yast2-trans-zh_CN84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Simplified Chinese Translations
yast2-trans-zh_CN84.87.20240624.0295c6c7b8-1.1YaST2 - Simplified Chinese Translations
yast2-trans-zh_CN84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Simplified Chinese Translations
yast2-trans-zh_TW84.87.20240624.0295c6c7b8-1.1YaST2 - Traditional Chinese Translations
yast2-trans-zh_TW84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Traditional Chinese Translations
yast2-trans-zh_TW84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Traditional Chinese Translations
yast2-trans-zu84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Zulu Translations
yast2-trans-zu84.87.20240624.0295c6c7b8-1.1YaST2 - Zulu Translations
yast2-trans-zu84.87.20240624.0295c6c7b8-slfo.1.1.1YaST2 - Zulu Translations
yast2-tune5.0.0-slfo.1.1.1YaST2 - Hardware Tuning
yast2-tune5.0.0-slfo.1.1.1YaST2 - Hardware Tuning
yast2-vm5.0.0-slfo.1.1.1Configure Hypervisor and Tools for Xen and KVM
yast2-vm5.0.0-slfo.1.1.1Configure Hypervisor and Tools for Xen and KVM
yaz5.34.1-lp154.148.1Z39.50 protocol server and client
yaz5.34.1-lp156.148.1Z39.50 protocol server and client
yaz5.34.1-lp155.148.1Z39.50 protocol server and client
yaz-doc5.34.1-lp155.148.1Documentation for yaz (Z39.50 Library)
yaz-doc5.34.1-lp154.148.1Documentation for yaz (Z39.50 Library)
yaz-doc5.34.1-lp156.148.1Documentation for yaz (Z39.50 Library)
zig0.13.0-lp155.58.1Compiler for the Zig language
zig0.13.0-lp156.58.1Compiler for the Zig language
zig-libs0.13.0-lp156.58.1zig standard library
zig-libs0.13.0-lp155.58.1zig standard library
zig-rpm-macros0.13.0-lp155.58.1Common RPM macros for zig
zig-rpm-macros0.13.0-lp156.58.1Common RPM macros for zig
  
ICM