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:Alireza S. Mahani, Mansour T.A. Sharabiani

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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'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.00 score 3 dependencies 5 scripts 227 downloads

Last updated 8 years agofrom:7fd49fa6d9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:bayesmixsurvbayesmixsurv.controlbayesmixsurv.crossvalbayesmixsurv.crossval.wrapperbayesmixsurv.generate.foldsbayesmixsurv.generate.folds.eventbalanced

Dependencies:latticeMatrixsurvival

Readme and manuals

Help Manual

Help pageTopics
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 objectplot.bayesmixsurv
Predict method for bayesmixsurv model fitspredict.bayesmixsurv summary.predict.bayesmixsurv
Summarizing BayesMixSurv model fitsprint.summary.bayesmixsurv summary.bayesmixsurv