Package: GPTCM
Title: Generalized Promotion Time Cure Model with Bayesian Shrinkage
        Priors
Version: 1.1.3
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
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, survival, riskRegression, ggplot2, ggridges, miCoPTCM,
        loo, mvnfast, Matrix, scales, utils, stats, graphics
Suggests: knitr, survminer
NeedsCompilation: yes
SystemRequirements: C++17
Packaged: 2025-10-31 21:56:28 UTC; zhiz
Author: Zhi Zhao [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-01 00:30:13 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-05-20 04:10:30 UTC; windows
Archs: x64
