| Name : R-dabestr
| |
| Version : 2023.9.12
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.2.1
| Date : 2024-06-08 11:28:19
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| Group : Development/Libraries/Other
| Source RPM : R-dabestr-2023.9.12-lp154.2.1.src.rpm
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| Size : 2.99 MB
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| Packager : https://www_suse_com/
| |
| Summary : Data Analysis using Bootstrap-Coupled Estimation
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Description :
Data Analysis using Bootstrap-Coupled ESTimation. Estimation statistics
is a simple framework that avoids the pitfalls of significance testing.
It uses familiar statistical concepts: means, mean differences, and
error bars. More importantly, it focuses on the effect size of one\'s
experiment/intervention, as opposed to a false dichotomy engendered by
P values. An estimation plot has two key features: 1. It presents all
datapoints as a swarmplot, which orders each point to display the
underlying distribution. 2. It presents the effect size as a bootstrap
95% confidence interval on a separate but aligned axes. Estimation
plots are introduced in Ho et al., Nature Methods 2019, 1548-7105.
< doi:10.1038/s41592-019-0470-3>. The free-to-view PDF is located at
< https://www.nature.com/articles/s41592-019-0470-3.epdf?author_access_token=Euy6APITxsYA3huBKOFBvNRgN0jAjWel9jnR3ZoTv0Pr6zJiJ3AA5aH4989gOJS_dajtNr1Wt17D0fh-t4GFcvqwMYN03qb8C33na_UrCUcGrt-Z0J9aPL6TPSbOxIC-pbHWKUDo2XsUOr3hQmlRew%3D%3D>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
