<?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>Reinforcement Learning Trees</dc:title>
  <dc:title>R package RLT version 3.2.6</dc:title>
  <dc:subject>CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Random forest with a variety of additional features for regression, classification and survival analysis. 
             The features include: parallel computing with OpenMP, embedded model for selecting the splitting variable,
             based on Zhu, Zeng &amp; Kosorok (2015) &lt;doi:10.1080/01621459.2015.1036994&gt;, subject weight, variable weight, 
             tracking subjects used in each tree, etc.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Suggests: randomForest, survival</dc:relation>
  <dc:creator>Ruoqing Zhu &lt;teazrq@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Ruoqing Zhu [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-0753-5716&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-04-28</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=RLT</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.RLT</dc:identifier>
</oai_dc:dc>
