<?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>Category Variable Encodings</dc:title>
  <dc:title>R package categoryEncodings version 1.4.3</dc:title>
  <dc:description>Simple, fast, and automatic encodings for category data using 
             a data.table backend. Most of the methods are an implementation 
             of "Sufficient Representation for Categorical Variables" by
             Johannemann, Hadad, Athey, Wager (2019) &lt;arXiv:1908.09874&gt;,
             particularly their mean, sparse principal component analysis, 
             low rank representation, and multinomial logit encodings.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: glmnet, sparsepca, data.table</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 2.1.0), covr</dc:relation>
  <dc:creator>Juraj Szitas &lt;szitas.juraj13@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Juraj Szitas [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2020-03-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=categoryEncodings</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.categoryEncodings</dc:identifier>
</oai_dc:dc>
