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: 2026-06-19 11:37:47 UTC; root
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)
Config/pak/sysreqs: libicu-dev
Repository: https://mqbssppe.r-universe.dev
Date/Publication: 2026-01-19 06:40:03 UTC
RemoteUrl: https://github.com/cran/bayesCureRateModel
RemoteRef: HEAD
RemoteSha: f06e7de9e1d64a742bb938a81886fbdb121dac9e