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<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>Stochastic Tree Ensembles (XBART and BART) for Supervised
Learning and Causal Inference</dc:title>
  <dc:title>R package stochtree version 0.4.5</dc:title>
  <dc:subject>CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian)</dc:subject>
  <dc:subject>CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference)</dc:subject>
  <dc:subject>CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Flexible stochastic tree ensemble software. 
    Robust implementations of Bayesian Additive Regression Trees (BART) 
    (Chipman, George, McCulloch (2010) &lt;doi:10.1214/09-AOAS285&gt;) 
    for supervised learning and Bayesian Causal Forests (BCF) 
    (Hahn, Murray, Carvalho (2020) &lt;doi:10.1214/19-BA1195&gt;) 
    for causal inference. Enables model serialization and parallel sampling 
    and provides a low-level interface for custom stochastic forest samplers.
    Includes the grow-from-root algorithm for accelerated forest sampling 
    (He and Hahn (2021) &lt;doi:10.1080/01621459.2021.1942012&gt;), 
    a log-linear leaf model for forest-based heteroskedasticity (Murray (2020) &lt;doi:10.1080/01621459.2020.1813587&gt;), 
    and the cloglog BART model of Alam and Linero (2025) &lt;doi:10.48550/arXiv.2502.00606&gt; for ordinal outcomes.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: R6, stats</dc:relation>
  <dc:relation>LinkingTo: cpp11, BH</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0),</dc:relation>
  <dc:creator>Drew Herren &lt;drewherrenopensource@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Drew Herren [aut, cre] (ORCID: &lt;https://orcid.org/0000-0003-4109-6611&gt;),
  Richard Hahn [aut],
  Jared Murray [aut],
  Carlos Carvalho [aut],
  Jingyu He [aut],
  Pedro Lima [ctb],
  Entejar Alam [ctb],
  stochtree contributors [cph],
  Eigen contributors [cph] (C++ source uses the Eigen library for matrix
    operations, see inst/COPYRIGHTS),
  xgboost contributors [cph] (C++ tree code and related operations
    include or are inspired by code from the xgboost library, see
    inst/COPYRIGHTS),
  treelite contributors [cph] (C++ tree code and related operations
    include or are inspired by code from the treelite library, see
    inst/COPYRIGHTS),
  Microsoft Corporation [cph] (C++ I/O and various project structure code
    include or are inspired by code from the LightGBM library, which is
    a copyright of Microsoft, see inst/COPYRIGHTS),
  Niels Lohmann [cph] (C++ source uses the JSON for Modern C++ library
    for JSON operations, see inst/COPYRIGHTS),
  Daniel Lemire [cph] (C++ source uses the fast_double_parser library
    internally, see inst/COPYRIGHTS),
  Victor Zverovich [cph] (C++ source uses the fmt library internally, see
    inst/COPYRIGHTS)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=stochtree/LICENSE)</dc:rights>
  <dc:date>2026-06-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=stochtree</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.stochtree</dc:identifier>
</oai_dc:dc>