R: 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

## Documentation for package ‘BayesMixSurv’ version 0.9.3

- DESCRIPTION file.

## Help Pages

bayesmixsurv | Dynamic Bayesian survival model - with stratification and Lasso shrinkage - for right-censored data using two-component additive mixture-of-Weibull hazards.
bayesmixsurv.control | Dynamic Bayesian survival model - with stratification and Lasso shrinkage - for right-censored data using two-component additive mixture-of-Weibull hazards.
bayesmixsurv.crossval | Convenience functions for cross-validation-based selection of shrinkage parameter in the bayesmixsurv model.
bayesmixsurv.crossval.wrapper | Convenience functions for cross-validation-based selection of shrinkage parameter in the bayesmixsurv model.
bayesmixsurv.generate.folds | Convenience functions for cross-validation-based selection of shrinkage parameter in the bayesmixsurv model.
bayesmixsurv.generate.folds.eventbalanced | Convenience functions for cross-validation-based selection of shrinkage parameter in the bayesmixsurv model.
plot.bayesmixsurv | Plot diagnostics for a bayesmixsurv object
predict.bayesmixsurv | Predict method for bayesmixsurv model fits
print.bayesmixsurv | Dynamic Bayesian survival model - with stratification and Lasso shrinkage - for right-censored data using two-component additive mixture-of-Weibull hazards.
print.summary.bayesmixsurv | Summarizing BayesMixSurv model fits
summary.bayesmixsurv | Summarizing BayesMixSurv model fits
summary.predict.bayesmixsurv | Predict method for bayesmixsurv model fits