<?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>Integrative Survival Modeling</dc:title>
  <dc:title>R package intsurv version 0.3.0</dc:title>
  <dc:subject>CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival)</dc:subject>
  <dc:description>Contains implementations of
    the integrative Cox model with uncertain event times
    proposed by Wang, et al. (2020) &lt;doi:10.1214/19-AOAS1287&gt;,
    the regularized Cox cure rate model with uncertain event status
    proposed by Wang, et al. (2023) &lt;doi:10.1007/s12561-023-09374-w&gt;,
    and other survival analysis routines including
    the Cox cure rate model proposed by
    Kuk and Chen (1992) &lt;doi:10.1093/biomet/79.3.531&gt;
    via an EM algorithm proposed by
    Sy and Taylor (2000) &lt;doi:10.1111/j.0006-341X.2000.00227.x&gt;,
    the regularized Cox cure rate model with elastic net penalty following
    Masud et al. (2018) &lt;doi:10.1177/0962280216677748&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.2.3)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 0.12.0), methods, stats</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: tinytest</dc:relation>
  <dc:creator>Wenjie Wang &lt;wang@wwenjie.org&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Wenjie Wang [aut, cre] (ORCID: &lt;https://orcid.org/0000-0003-0363-3180&gt;),
  Kun Chen [ths] (ORCID: &lt;https://orcid.org/0000-0003-3579-5467&gt;),
  Jun Yan [ths] (ORCID: &lt;https://orcid.org/0000-0003-4401-7296&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2025-09-29</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=intsurv</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.intsurv</dc:identifier>
</oai_dc:dc>
