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The A() function calculates the A statistic, a nonparametric measure of effect size for two independent groups that’s also known as the probability of superiority (Ruscio, 2008), along with its standard error and a confidence interval constructed using bootstrap methods (Ruscio & Mullen, 2012). Optional arguments can be specified to calculate variants of the A statistic developed for other research designs (e.g., related samples, more than two independent groups or related samples; Ruscio & Gera, 2013). <doi:10.1037/1082-989X.13.1.19>. <doi:10.1080/00273171.2012.658329>. <doi:10.1080/00273171.2012.738184>.
Version: | 3.0 |
Published: | 2020-10-19 |
DOI: | 10.32614/CRAN.package.RProbSup |
Author: | John Ruscio |
Maintainer: | John Ruscio <ruscio at tcnj.edu> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
CRAN checks: | RProbSup results |
Reference manual: | RProbSup.pdf |
Package source: | RProbSup_3.0.tar.gz |
Windows binaries: | r-devel: RProbSup_3.0.zip, r-release: RProbSup_3.0.zip, r-oldrel: RProbSup_3.0.zip |
macOS binaries: | r-release (arm64): RProbSup_3.0.tgz, r-oldrel (arm64): RProbSup_3.0.tgz, r-release (x86_64): RProbSup_3.0.tgz, r-oldrel (x86_64): RProbSup_3.0.tgz |
Old sources: | RProbSup archive |
Reverse suggests: | mbRes |
Please use the canonical form https://CRAN.R-project.org/package=RProbSup to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.