<?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>Purge Training Data from Models</dc:title>
  <dc:title>R package purge version 0.2.1</dc:title>
  <dc:description>Enables the removal of training data from fitted R models while
    retaining predict functionality. The purged models are more portable as their
    memory footprints do not scale with the training sample size.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: methods</dc:relation>
  <dc:relation>Suggests: testthat, survival, lme4 (&gt;= 1.1-8), ranger, randomForest,
rpart</dc:relation>
  <dc:creator>Marc Maier &lt;mmaier@massmutual.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Marc Maier [cre],
  Chaoqun Jia [ctb],
  MassMutual Advanced Analytics [aut] (http://datascience.massmutual.com)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=purge/LICENSE)</dc:rights>
  <dc:date>2017-02-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=purge</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.purge</dc:identifier>
</oai_dc:dc>
