Package: BayesMixSurv 0.9.1
BayesMixSurv: Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification
Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and Stratification. As a Bayesian dynamic survival model, it relaxes the proportional-hazard assumption. Lasso shrinkage controls overfitting, given the increase in the number of free parameters in the model due to presence of two Weibull components in the hazard function.
Authors:
BayesMixSurv_0.9.1.tar.gz
BayesMixSurv_0.9.1.zip(r-4.5)BayesMixSurv_0.9.1.zip(r-4.4)BayesMixSurv_0.9.1.zip(r-4.3)
BayesMixSurv_0.9.1.tgz(r-4.4-any)BayesMixSurv_0.9.1.tgz(r-4.3-any)
BayesMixSurv_0.9.1.tar.gz(r-4.5-noble)BayesMixSurv_0.9.1.tar.gz(r-4.4-noble)
BayesMixSurv_0.9.1.tgz(r-4.4-emscripten)BayesMixSurv_0.9.1.tgz(r-4.3-emscripten)
BayesMixSurv.pdf |BayesMixSurv.html✨
BayesMixSurv/json (API)
| # Install 'BayesMixSurv' in R: |
| install.packages('BayesMixSurv', repos = c('https://asmahani.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:7fd49fa6d9. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 27 2024 |
| R-4.5-win | OK | Dec 27 2024 |
| R-4.5-linux | OK | Dec 27 2024 |
| R-4.4-win | OK | Dec 27 2024 |
| R-4.4-mac | OK | Dec 27 2024 |
| R-4.3-win | OK | Dec 27 2024 |
| R-4.3-mac | OK | Dec 27 2024 |
Exports:bayesmixsurvbayesmixsurv.controlbayesmixsurv.crossvalbayesmixsurv.crossval.wrapperbayesmixsurv.generate.foldsbayesmixsurv.generate.folds.eventbalanced
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Dynamic Bayesian survival model - with stratification and Lasso shrinkage - for right-censored data using two-component additive mixture-of-Weibull hazards. | bayesmixsurv bayesmixsurv.control print.bayesmixsurv |
| Convenience functions for cross-validation-based selection of shrinkage parameter in the bayesmixsurv model. | bayesmixsurv.crossval bayesmixsurv.crossval.wrapper bayesmixsurv.generate.folds bayesmixsurv.generate.folds.eventbalanced |
| Plot diagnostics for a bayesmixsurv object | plot.bayesmixsurv |
| Predict method for bayesmixsurv model fits | predict.bayesmixsurv summary.predict.bayesmixsurv |
| Summarizing BayesMixSurv model fits | print.summary.bayesmixsurv summary.bayesmixsurv |
