Package: bayesCureRateModel
Type: Package
Title: Bayesian Cure Rate Modeling for Time-to-Event Data
Version: 1.0
Date: 2024-06-26
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 (2023) <doi:10.48550/arXiv.2310.06926>. 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 Gamma distributions. 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),doParallel, foreach, mclust, coda,
        HDInterval, VGAM, calculus, flexsurv
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-06-26 11:12:12 UTC; panagiotis
Author: Panagiotis Papastamoulis [aut, cre]
    (<https://orcid.org/0000-0001-9468-7613>),
  Fotios Milienos [aut] (<https://orcid.org/0000-0003-1423-7132>)
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-06-27 14:20:06 UTC
