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wmwAUC: Wilcoxon-Mann-Whitney Test of No Group Discrimination

Provides inference for the Wilcoxon-Mann-Whitney test under the null hypothesis H0: AUC = 0.5 for continuous, discrete or mixed random variables. Traditional implementations test H0: F = G, which is inappropriately broad and leads to erroneous inferences. Methods are described in M. Grendar (2025) "Wilcoxon-Mann-Whitney Test of No Group Discrimination" <doi:10.48550/arXiv.2511.20308>.

Version: 0.2.0
Depends: R (≥ 4.0.0)
Suggests: testthat (≥ 3.0.0), ggsci, viridis, gemR, gss, knitr, rmarkdown, ggbeeswarm, ggplot2, qqplotr, rlang, twosamples, patchwork, sfsmisc, stats, VGAM
Published: 2025-12-19
DOI: 10.32614/CRAN.package.wmwAUC (may not be active yet)
Author: Marian Grendar ORCID iD [aut, cre]
Maintainer: Marian Grendar <marian.grendar at gmail.com>
BugReports: https://github.com/grendar/wmwAUC/issues
License: MIT + file LICENSE
URL: https://github.com/grendar/wmwAUC
NeedsCompilation: no
Materials: README
CRAN checks: wmwAUC results

Documentation:

Reference manual: wmwAUC.html , wmwAUC.pdf

Downloads:

Package source: wmwAUC_0.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): wmwAUC_0.2.0.tgz, r-oldrel (x86_64): wmwAUC_0.2.0.tgz

Linking:

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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.