wmwAUC: Test of No Group Discrimination Using the WMW Statistic
Implements a wmwAUC test of H0: AUC = 1/2 for continuous, discrete, or mixed random variables, based on the Wilcoxon-Mann-Whitney (WMW) statistic. The classic WMW test is calibrated under H0: {(F, G): F = G} which does not match the set {(F, G): AUC = 1/2}, implied by the test statistic, and consequently leads to erroneous inferences. wmwAUC is calibrated under the correct null and implements two finite-sample corrected p-value methods: an Exact Unbiased (EU) method and a Bias-Corrected (BC) method, both valid for any tie pattern. Methods are described in M. Grendar (2025) "Wilcoxon-Mann-Whitney Test of No Group Discrimination" <doi:10.48550/arXiv.2511.20308>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.0.0) |
| Suggests: |
testthat (≥ 3.0.0), ggsci, gemR, knitr, rmarkdown, ggbeeswarm, ggplot2, rlang, rankFD, patchwork |
| Published: |
2026-07-31 |
| DOI: |
10.32614/CRAN.package.wmwAUC |
| Author: |
Marian Grendar 
[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, NEWS |
| CRAN checks: |
wmwAUC results |
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