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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: | 1.0.2 |
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: | 2023-05-30 |
DOI: | 10.32614/CRAN.package.RoBSA |
Author: | František Bartoš |
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 |
Reference manual: | RoBSA.pdf |
Package source: | RoBSA_1.0.2.tar.gz |
Windows binaries: | r-devel: RoBSA_1.0.2.zip, r-release: RoBSA_1.0.2.zip, r-oldrel: RoBSA_1.0.2.zip |
macOS binaries: | r-release (arm64): RoBSA_1.0.2.tgz, r-oldrel (arm64): RoBSA_1.0.2.tgz, r-release (x86_64): RoBSA_1.0.2.tgz, r-oldrel (x86_64): RoBSA_1.0.2.tgz |
Old sources: | RoBSA archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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