bayesian_cure_rate_model
Bayesian inference and cure rate modeling
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Repository
Bayesian inference and cure rate modeling
Basic Info
- Host: GitHub
- Owner: mqbssppe
- Language: R
- Default Branch: main
- Size: 60.4 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
bayesCureRateModel: Bayesian Cure Rate Modeling for Time-to-Event Data
A fully Bayesian approach in order to estimate a general family of cure rate models under the presence of covariates, see Papastamoulis and Milienos, 2024a and Papastamoulis and Milienos, 2024b.
The promotion time can be modelled * parametrically using typical distributional assumptions for time to event data (including the Weibull, Exponential, Gompertz, log-Logistic distributions), or * 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.
The R package bayesCureRateModel package is available on CRAN. The latest version is 1.4 (18/6/2025).
References
Papastamoulis P and Milienos FS (2024a). Bayesian inference and cure rate modeling for event history data. TEST.
Papastamoulis P and Milienos FS (2024b). bayesCureRateModel: Bayesian Cure Rate Modeling for Time to Event Data in R. arXiv pre-print.
Owner
- Name: Panagiotis Papastamoulis
- Login: mqbssppe
- Kind: user
- Location: Greece
- Company: Department of Statistics, Athens University of Economics and Business
- Website: https://www2.aueb.gr/users/papastamoulis/
- Repositories: 11
- Profile: https://github.com/mqbssppe
GitHub Events
Total
- Push event: 4
Last Year
- Push event: 4
Packages
- Total packages: 1
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Total downloads:
- cran 286 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
cran.r-project.org: bayesCureRateModel
Bayesian Cure Rate Modeling for Time-to-Event Data
- Homepage: https://github.com/mqbssppe/Bayesian_cure_rate_model
- Documentation: http://cran.r-project.org/web/packages/bayesCureRateModel/bayesCureRateModel.pdf
- License: GPL-2
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Latest release: 1.4
published 9 months ago
Rankings
Maintainers (1)
Dependencies
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