<?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>Hierarchical Multinomial Processing Tree Modeling</dc:title>
  <dc:title>R package TreeBUGS version 1.5.3</dc:title>
  <dc:subject>CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics)</dc:subject>
  <dc:description>User-friendly analysis of hierarchical multinomial processing tree (MPT) 
    models that are often used in cognitive psychology. Implements the latent-trait 
    MPT approach (Klauer, 2010) &lt;DOI:10.1007/s11336-009-9141-0&gt; and the beta-MPT 
    approach (Smith &amp; Batchelder, 2010) &lt;DOI:10.1016/j.jmp.2009.06.007&gt; to model 
    heterogeneity of participants. MPT models are conveniently specified by an
    .eqn-file as used by other MPT software and data are provided by a .csv-file 
    or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored 
    Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides 
    tests of heterogeneity and MPT-tailored summaries and plotting functions.
    A detailed documentation is available in Heck, Arnold, &amp; Arnold (2018) 
    &lt;DOI:10.3758/s13428-017-0869-7&gt; and a tutorial on MPT modeling can be found 
    in Schmidt, Erdfelder, &amp; Heck (2023) &lt;DOI:10.1037/met0000561&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.0), stats, parallel, graphics, utils, grDevices,
MASS, runjags, rjags, coda, hypergeo, logspline</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat, R.rsp</dc:relation>
  <dc:creator>Daniel W. Heck &lt;daniel.heck@uni-marburg.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Daniel W. Heck [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-6302-9252&gt;),
  Nina R. Arnold [aut, dtc],
  Denis Arnold [aut],
  Alexander Ly [ctb],
  Marius Barth [ctb] (ORCID: &lt;https://orcid.org/0000-0002-3421-6665&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-09-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=TreeBUGS</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.TreeBUGS</dc:identifier>
</oai_dc:dc>
