<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Test of No Group Discrimination Using the WMW Statistic</dc:title>
  <dc:title>R package wmwAUC version 1.0.0</dc:title>
  <dc:description>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" &lt;doi:10.48550/arXiv.2511.20308&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0), ggsci, gemR, knitr, rmarkdown,
ggbeeswarm, ggplot2, rlang, rankFD, patchwork</dc:relation>
  <dc:creator>Marian Grendar &lt;marian.grendar@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Marian Grendar [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-6712-3457&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=wmwAUC/LICENSE)</dc:rights>
  <dc:date>2026-07-31</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=wmwAUC</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.wmwAUC</dc:identifier>
</oai_dc:dc>