<?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>Ansari-Bradley Test with Arbitrarily Missing Data</dc:title>
  <dc:title>R package abwm version 0.1.0</dc:title>
  <dc:description>Performs the two-sample Ansari–Bradley test (Ansari &amp; Bradley, 1960 
    &lt;https://www.jstor.org/stable/2237814&gt;) for univariate, distinct data in the 
    presence of missing values, as described in Zeng et al. (2025) 
    &lt;doi:10.48550/arXiv.2509.20332&gt;. This method does not make any assumptions about 
    the missingness mechanisms and controls the Type I error regardless of the missing 
    values by taking all possible missing values into account.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats</dc:relation>
  <dc:relation>Suggests: gtools, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Yijin Zeng &lt;yijinzeng98@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Yijin Zeng [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=abwm/LICENSE)</dc:rights>
  <dc:date>2025-11-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=abwm</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.abwm</dc:identifier>
</oai_dc:dc>
