<?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>Some Latent Variable Models</dc:title>
  <dc:title>R package LAM version 0.7-22</dc:title>
  <dc:subject>CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics)</dc:subject>
  <dc:description>
    Includes some procedures for latent variable modeling with a 
    particular focus on multilevel data.
    The 'LAM' package contains mean and covariance structure modelling
    for multivariate normally distributed data (mlnormal(); Longford, 1987;
    &lt;doi:10.1093/biomet/74.4.817&gt;), a general Metropolis-Hastings algorithm 
    (amh(); Roberts &amp; Rosenthal, 2001, &lt;doi:10.1214/ss/1015346320&gt;) and 
    penalized maximum likelihood estimation (pmle(); Cole, Chu &amp; Greenland, 
    2014; &lt;doi:10.1093/aje/kwt245&gt;).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.1)</dc:relation>
  <dc:relation>Imports: CDM, graphics, Rcpp, sirt, stats, utils</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: coda, expm, MASS, numDeriv, TAM</dc:relation>
  <dc:relation>Enhances: lavaan, lme4</dc:relation>
  <dc:creator>Alexander Robitzsch &lt;robitzsch@ipn.uni-kiel.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Alexander Robitzsch [aut,cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-07-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=LAM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.LAM</dc:identifier>
</oai_dc:dc>
