<?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>Conditional Randomization Testing (CRT) Approach for Conjoint
Analysis</dc:title>
  <dc:title>R package CRTConjoint version 0.1.0</dc:title>
  <dc:description>Computes p-value according to the CRT using the HierNet test statistic. For more details, see Ham, Imai, Janson (2022) "Using Machine Learning to Test Causal Hypotheses in Conjoint Analysis" &lt;arXiv:2201.08343&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: utils, methods, doSNOW, foreach, Rcpp, snow</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Dae Woong Ham &lt;daewoongham@g.harvard.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Dae Woong Ham [aut, cre],
  Kosuke Imai [aut],
  Lucas Janson [aut],
  Jacob Bien [ctb, cph]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2022-06-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=CRTConjoint</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.CRTConjoint</dc:identifier>
</oai_dc:dc>
