<?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>Wilcoxon-Mann-Whitney Sample Size Planning</dc:title>
  <dc:title>R package WMWssp version 0.5.3</dc:title>
  <dc:description>Calculates the minimal sample size for the Wilcoxon-Mann-Whitney test
    that is needed for a given power and two sided type I error rate. The method works for metric data with and without
    ties, count data, ordered categorical data, and even dichotomous data.
    But data is needed for the reference group to generate synthetic data for the treatment group based on a relevant effect.
    See Happ et al. (2019, &lt;doi:10.1002/sim.7983&gt;) for details.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.4.0)</dc:relation>
  <dc:relation>Suggests: testthat</dc:relation>
  <dc:creator>Martin Happ &lt;statistics@happ.co.at&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Arne C. Bathke [aut],
  Edgar Brunner [aut],
  Martin Happ [aut, cre] (ORCID: &lt;https://orcid.org/0000-0003-0009-2665&gt;),
  Frank Konietschke [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-02-18</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=WMWssp</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.WMWssp</dc:identifier>
</oai_dc:dc>
