<?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 for Discretized Normality in Ordinal Data</dc:title>
  <dc:title>R package discnorm version 0.2.2</dc:title>
  <dc:description>Tests whether multivariate ordinal data may stem from discretizing a multivariate normal distribution.
             The test is described by Foldnes and Grønneberg (2019) &lt;doi:10.1080/10705511.2019.1673168&gt;. 
             In addition, an adjusted polychoric correlation estimator is provided that takes marginal knowledge into account,
             as described by Grønneberg and Foldnes (2022) &lt;doi:10.1037/met0000495&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: lavaan (&gt;= 0.6.10), arules, sirt, MASS, pbivnorm, cubature,
copula, mnormt, GoFKernel</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Njål Foldnes &lt;njal.foldnes@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Njål Foldnes [aut, cre],
  Steffen Grønneberg [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-06-11</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=discnorm</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.discnorm</dc:identifier>
</oai_dc:dc>
