Package: bayesCureRateModel
Type: Package
Title: Bayesian Cure Rate Modeling for Time-to-Event Data
Version: 1.6
Date: 2026-01-19
Authors@R: 
    c(person(given = "Panagiotis",
             family = "Papastamoulis",
             email = "papapast@yahoo.gr",
             role = c( "aut", "cre"),
             comment = c(ORCID = "0000-0001-9468-7613")),
	person(given = "Fotios",
             family = "Milienos",
             email = "milienos@panteion.gr",
             role = c( "aut"),
             comment = c(ORCID = "0000-0003-1423-7132"))             
             )
Maintainer: Panagiotis Papastamoulis <papapast@yahoo.gr>
Description: A fully Bayesian approach in order to estimate a general family of cure rate models under the presence of covariates, see Papastamoulis and Milienos (2024) <doi:10.1007/s11749-024-00942-w> and Papastamoulis and Milienos (2024b) <doi:10.48550/arXiv.2409.10221>. The promotion time can be modelled (a) parametrically using typical distributional assumptions for time to event data (including the Weibull, Exponential, Gompertz, log-Logistic distributions), or (b) semiparametrically using finite mixtures of distributions. In both cases, user-defined families of distributions are allowed under some specific requirements. Posterior inference is carried out by constructing a Metropolis-coupled Markov chain Monte Carlo (MCMC) sampler, which combines Gibbs sampling for the latent cure indicators and Metropolis-Hastings steps with Langevin diffusion dynamics for parameter updates. The main MCMC algorithm is embedded within a parallel tempering scheme by considering heated versions of the target posterior distribution.
License: GPL-2
URL: https://github.com/mqbssppe/Bayesian_cure_rate_model
Imports: Rcpp (>= 1.0.12), survival, doParallel, parallel, foreach,
        mclust, coda, HDInterval, VGAM, calculus, flexsurv
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-01-19 06:10:35 UTC; panos
Author: Panagiotis Papastamoulis [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9468-7613>),
  Fotios Milienos [aut] (ORCID: <https://orcid.org/0000-0003-1423-7132>)
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-01-19 06:40:03 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-29 11:08:32 UTC; unix
Archs: bayesCureRateModel.so.dSYM
