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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "bayesCureRateModel" in publications use:'
type: software
license: GPL-2.0-only
title: 'bayesCureRateModel: Bayesian Cure Rate Modeling for Time-to-Event Data'
version: '1.2'
doi: 10.1007/s11749-024-00942-w
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bayesCureRateModel
abstract: 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)
  <https://doi.org/10.1007/s11749-024-00942-w>. 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.
authors:
- family-names: Papastamoulis
  given-names: Panagiotis
  email: papapast@yahoo.gr
  orcid: https://orcid.org/0000-0001-9468-7613
- family-names: Milienos
  given-names: Fotios
  email: milienos@panteion.gr
  orcid: https://orcid.org/0000-0003-1423-7132
preferred-citation:
  type: article
  title: Bayesian inference and cure rate modeling for event history data
  authors:
  - family-names: Papastamoulis
    given-names: Panagiotis
    email: papapast@yahoo.gr
    orcid: https://orcid.org/0000-0001-9468-7613
  - family-names: Milienos
    given-names: Fotios
    email: milienos@panteion.gr
    orcid: https://orcid.org/0000-0003-1423-7132
  journal: TEST
  year: '2024'
  doi: 10.1007/s11749-024-00942-w
repository: https://mqbssppe.r-universe.dev
repository-code: https://github.com/mqbssppe/Bayesian_cure_rate_model
commit: 769c5623ec9a959b69e18c68d5866f29c99fc9c7
url: https://github.com/mqbssppe/Bayesian_cure_rate_model
date-released: '2024-09-13'
contact:
- family-names: Papastamoulis
  given-names: Panagiotis
  email: papapast@yahoo.gr
  orcid: https://orcid.org/0000-0001-9468-7613