RoBSA: Robust Bayesian Survival Analysis
A framework for estimating ensembles of parametric survival models with different parametric families. The RoBSA framework uses Bayesian model-averaging to combine the competing parametric survival models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual predictors or preference for a parametric family (Bartoš, Aust & Haaf, 2022, <doi:10.1186/s12874-022-01676-9>). The user can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, fit diagnostics, and prior distribution calibration.
| Version: | 1.0.3 |
| Depends: | R (≥ 4.0.0) |
| Imports: | BayesTools (≥ 0.2.14),survival,rjags,runjags,scales,coda, stats, graphics,rlang,Rdpack |
| Suggests: | parallel,ggplot2,flexsurv,testthat,vdiffr,knitr,rmarkdown,covr |
| Published: | 2025-03-24 |
| DOI: | 10.32614/CRAN.package.RoBSA |
| Author: | František Bartoš [aut, cre], Julia M. Haaf [ths], Matthew Denwood [cph] (Original copyright holder of some modified code where indicated.), Martyn Plummer [cph] (Original copyright holder of some modified code where indicated.) |
| Maintainer: | František Bartoš <f.bartos96 at gmail.com> |
| BugReports: | https://github.com/FBartos/RoBSA/issues |
| License: | GPL-3 |
| URL: | https://fbartos.github.io/RoBSA/ |
| NeedsCompilation: | yes |
| SystemRequirements: | JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/) |
| Citation: | RoBSA citation info |
| Materials: | README,NEWS |
| CRAN checks: | RoBSA results |
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