Package: GPTCM
Title: Generalized Promotion Time Cure Model with Bayesian Shrinkage
        Priors
Version: 2.1.0
Description: Generalized promotion time cure model (GPTCM) via Bayesian
        hierarchical modeling for multiscale data integration (Zhao et
        al. (2025) <doi:10.48550/arXiv.2509.01001>). The Bayesian
        GPTCMs are applicable for both low- and high-dimensional data.
Authors@R: c(person("Zhi", "Zhao", role=c("aut","cre"), email = "zhi.zhao@medisin.uio.no"))
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>
Copyright: The code in src/arms.cpp is slightly modified based on the
        research paper implementation written by Wally Gilks.
URL: https://github.com/ocbe-uio/GPTCM
BugReports: https://github.com/ocbe-uio/GPTCM/issues
License: GPL-3
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo, testthat
Imports: Rcpp, survival, riskRegression, ggplot2, ggridges, miCoPTCM,
        loo, mvnfast, Matrix, scales, utils, stats, graphics
Suggests: knitr, survminer, testthat
NeedsCompilation: yes
SystemRequirements: C++17
Config/roxygen2/version: 8.0.0
Packaged: 2026-06-23 21:34:33 UTC; root
Author: Zhi Zhao [aut, cre]
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://ocbe-uio.r-universe.dev
Date/Publication: 2026-06-23 20:24:26 UTC
RemoteUrl: https://github.com/ocbe-uio/GPTCM
RemoteRef: HEAD
RemoteSha: 6417d59b2ec7f77f751b7b876de8d2953a57a4b1