Package: BayesMixSurv 0.9.3

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 [aut, cre], Mansour T.A. Sharabiani [aut]

BayesMixSurv_0.9.3.tar.gz
BayesMixSurv_0.9.3.zip(r-4.7)BayesMixSurv_0.9.3.zip(r-4.6)BayesMixSurv_0.9.3.zip(r-4.5)
BayesMixSurv_0.9.3.tgz(r-4.6-any)BayesMixSurv_0.9.3.tgz(r-4.5-any)
BayesMixSurv_0.9.3.tar.gz(r-4.7-any)BayesMixSurv_0.9.3.tar.gz(r-4.6-any)
BayesMixSurv_0.9.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BayesMixSurv/json (API)

# Install 'BayesMixSurv' in R:
install.packages('BayesMixSurv', repos = c('https://asmahani.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.00 score 5 scripts 240 downloads 6 exports 3 dependencies

Last updated from:f59f526deb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK144
linux-release-x86_64OK129
macos-release-arm64OK120
macos-oldrel-arm64OK103
windows-develOK118
windows-releaseOK104
windows-oldrelOK88
wasm-releaseOK83

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