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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling linux/jammy R-4.5 | RoBSA_1.0.3.tar.gz |
359.9 KiB |
1.0.3 |
rolling linux/noble R-4.5 | RoBSA_1.0.3.tar.gz |
359.7 KiB |
1.0.3 |
rolling source/ R- | RoBSA_1.0.3.tar.gz |
146.1 KiB |
1.0.3 |
latest linux/jammy R-4.5 | RoBSA_1.0.3.tar.gz |
359.9 KiB |
1.0.3 |
latest linux/noble R-4.5 | RoBSA_1.0.3.tar.gz |
359.7 KiB |
1.0.3 |
latest source/ R- | RoBSA_1.0.3.tar.gz |
146.1 KiB |
1.0.3 |
2026-04-26 source/ R- | RoBSA_1.0.3.tar.gz |
146.1 KiB |
1.0.3 |
2026-04-23 source/ R- | RoBSA_1.0.3.tar.gz |
146.1 KiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | RoBSA_1.0.3.zip |
426.9 KiB |
1.0.3 |
2025-04-20 source/ R- | RoBSA_1.0.3.tar.gz |
146.1 KiB |