<?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>Generate Multivariate Discrete Data</dc:title>
  <dc:title>R package MultiDiscreteRNG version 0.1.0</dc:title>
  <dc:description>Generate multivariate discrete data with generalized Poisson, negative binomial and binomial marginal distributions using user-specified distribution parameters and a target correlation matrix. The method is described in Cheng and Demirtas (2026) &lt;doi:10.48550/arXiv.2602.07707&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: GenOrd, Matrix, MultiOrd, matrixcalc, mvtnorm</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Chak Kwong (Tommy) Cheng &lt;ccheng46@uic.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Chak Kwong (Tommy) Cheng [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0009-0009-9395-5474&gt;),
  Hakan Demirtas [aut] (ORCID: &lt;https://orcid.org/0000-0003-2482-703X&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-02-25</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MultiDiscreteRNG</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MultiDiscreteRNG</dc:identifier>
</oai_dc:dc>