<?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>Bayesian Additive Regression Trees</dc:title>
  <dc:title>R package BART version 2.9.10</dc:title>
  <dc:subject>CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian)</dc:subject>
  <dc:subject>CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes.  For more information see Sparapani, Spanbauer and McCulloch &lt;doi:10.18637/jss.v097.i01&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6), nlme, survival</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 0.12.3), parallel, tools</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:relation>Suggests: MASS, knitr, rmarkdown, rpart, rpart.plot</dc:relation>
  <dc:creator>Rodney Sparapani &lt;rsparapa@mcw.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Robert McCulloch [aut],
  Rodney Sparapani [aut, cre],
  Robert Gramacy [ctb],
  Matthew Pratola [ctb],
  Charles Spanbauer [ctb],
  Martyn Plummer [ctb],
  Nicky Best [ctb],
  Kate Cowles [ctb],
  Karen Vines [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-01-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=BART</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.BART</dc:identifier>
</oai_dc:dc>
