<?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>RF Variable Importance for Arbitrary Measures</dc:title>
  <dc:title>R package varImp version 0.4</dc:title>
  <dc:description>Computes the random forest variable importance (VIMP) for the conditional inference random forest (cforest) of the 'party' package. Includes a function (varImp) that computes the VIMP for arbitrary measures from the 'measures' package. For calculating the VIMP regarding the measures accuracy and AUC two extra functions exist (varImpACC and varImpAUC).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.0), measures, party, stats</dc:relation>
  <dc:relation>Suggests: testthat, ranger</dc:relation>
  <dc:creator>Philipp Probst &lt;philipp_probst@gmx.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Philipp Probst [aut, cre],
  Silke Janitza [ctb]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2020-05-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=varImp</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.varImp</dc:identifier>
</oai_dc:dc>