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<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>Stepwise Forward Variable Selection in Penalized Regression</dc:title>
  <dc:title>R package stepPenal version 0.2</dc:title>
  <dc:description>Model Selection Based on Combined Penalties. This package implements a stepwise forward variable selection algorithm based on a penalized likelihood criterion that combines the L0 with L2 or L1 norms.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: glmnet, mvtnorm, pROC, dfoptim, caret, stats, base</dc:relation>
  <dc:creator>Eleni Vradi &lt;vradi.eleni@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Eleni Vradi</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2018-08-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=stepPenal</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.stepPenal</dc:identifier>
</oai_dc:dc>