<?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>Divisive Latent Class Analysis</dc:title>
  <dc:title>R package DLCA version 1.0</dc:title>
  <dc:description>Provides algorithms for estimating divisive and standard latent
    class models. The divisive latent class method follows van der Palm,
    van der Ark and Vermunt (2016) &lt;doi:10.1007/s00357-016-9195-5&gt;.
    Both algorithms use expectation-maximization and Newton-Raphson
    optimization and are implemented in 'C++' for speed through 'Rcpp'.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rcpp (&gt;= 0.11.4)</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:creator>Daniel W. van der Palm &lt;danielvdpalm@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Daniel W. van der Palm [aut, cre],
  L. Andries van der Ark [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-08-07</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=DLCA</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.DLCA</dc:identifier>
</oai_dc:dc>
