<?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>Regularized Random Forest</dc:title>
  <dc:title>R package RRF version 1.9.4.1</dc:title>
  <dc:description>Feature Selection with Regularized Random Forest. This
    package is based on the 'randomForest' package by Andy Liaw.
    The key difference is the RRF() function that builds a
    regularized random forest. Fortran original by Leo Breiman 
    and Adele Cutler, R port by Andy Liaw and Matthew Wiener, 
    Regularized random forest for classification by Houtao Deng, 
    Regularized random forest for regression by Xin Guan.
    Reference: Houtao Deng (2013) &lt;doi:10.48550/arXiv.1306.0237&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.5.0), stats</dc:relation>
  <dc:relation>Suggests: RColorBrewer, MASS</dc:relation>
  <dc:creator>Houtao Deng &lt;softwaredeng@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Houtao Deng [aut, cre],
  Xin Guan [aut],
  Andy Liaw [aut],
  Leo Breiman [aut],
  Adele Cutler [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-11-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=RRF</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.RRF</dc:identifier>
</oai_dc:dc>
