<?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>Data Generation with Poisson, Binary and Continuous Components</dc:title>
  <dc:title>R package PoisBinNonNor version 1.3.3</dc:title>
  <dc:description>Generation of multiple count, binary and continuous variables simultaneously 
             given the marginal characteristics and association structure. Throughout the package,
             the word 'Poisson' is used to imply count data under the assumption of Poisson distribution. 
             The details of the method are explained in Amatya et al. (2015) &lt;DOI:10.1080/00949655.2014.953534&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: BB, corpcor, Matrix, mvtnorm</dc:relation>
  <dc:creator>Ran Gao &lt;rgao8@uic.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Gul Inan, Hakan Demirtas, Ran Gao</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2021-03-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PoisBinNonNor</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PoisBinNonNor</dc:identifier>
</oai_dc:dc>
