<?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>Generalized Promotion Time Cure Model with Bayesian Shrinkage
Priors</dc:title>
  <dc:title>R package GPTCM version 2.0.0</dc:title>
  <dc:description>Generalized promotion time cure model (GPTCM) via Bayesian hierarchical modeling for multiscale data integration (Zhao et al. (2025) &lt;doi:10.48550/arXiv.2509.01001&gt;). The Bayesian GPTCMs are applicable for both low- and high-dimensional data.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: Rcpp, survival, riskRegression, ggplot2, ggridges, miCoPTCM,
loo, mvnfast, Matrix, scales, utils, stats, graphics</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: knitr, survminer</dc:relation>
  <dc:creator>Zhi Zhao &lt;zhi.zhao@medisin.uio.no&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Zhi Zhao [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-06-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GPTCM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GPTCM</dc:identifier>
</oai_dc:dc>
