<?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>An Ensemble Method for Interval-Censored Survival Data</dc:title>
  <dc:title>R package ICcforest version 0.5.1</dc:title>
  <dc:description>Implements the conditional inference forest approach 
  to modeling interval-censored survival data. It also provides 
  functions to tune the parameters and evaluate the model fit. See 
  Yao et al. (2019) &lt;arXiv:1901.04599&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.4.0), partykit</dc:relation>
  <dc:relation>Imports: stats, utils, graphics, survival, icenReg, ipred</dc:relation>
  <dc:relation>Suggests: LTRCtrees, inum, parallel</dc:relation>
  <dc:creator>Weichi Yao &lt;wy635@stern.nyu.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Weichi Yao [aut, cre],
  Halina Frydman [aut],
  Jeffrey S. Simonoff [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2020-02-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ICcforest</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ICcforest</dc:identifier>
</oai_dc:dc>
