<?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>Projection Pursuit Classification Tree Extensions</dc:title>
  <dc:title>R package PPtreeExt version 0.1.0</dc:title>
  <dc:description>Implements extensions to the projection pursuit tree algorithm for supervised classification, see Lee, Y. (2013), &lt;doi:10.1214/13-EJS810&gt; and Lee, E-K. (2018) &lt;doi:10.18637/jss.v083.i08&gt;. The algorithm is changed in two ways: improving prediction boundaries by modifying the choice of split points-through class subsetting; and increasing flexibility by allowing multiple splits per group. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.3.0)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 1.1.0), ggplot2, shiny, MASS, gridExtra, MixSim,
PPtreeViz</dc:relation>
  <dc:relation>LinkingTo: Rcpp,RcppArmadillo</dc:relation>
  <dc:relation>Suggests: knitr, randomForest, rpart, GGally, RColorBrewer, roxygen2
(&gt;= 7.3.0), rmarkdown, rsample</dc:relation>
  <dc:creator>Natalia da Silva &lt;natalia.dasilva@fcea.edu.uy&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Natalia da Silva [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-6031-7451&gt;),
  Dianne Cook [aut],
  Eun-Kyung Lee [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-02-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PPtreeExt</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PPtreeExt</dc:identifier>
</oai_dc:dc>
