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.

Version:	0.9.1
Depends:	survival
Published:	2016-09-08
Author:	Alireza S. Mahani, Mansour T.A. Sharabiani
Maintainer:	Alireza S. Mahani <alireza.s.mahani at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	ChangeLog
CRAN checks:	BayesMixSurv results

Documentation:

Reference manual:

BayesMixSurv.pdf

Downloads:

Package source:	BayesMixSurv_0.9.1.tar.gz
Windows binaries:	r-devel: BayesMixSurv_0.9.1.zip, r-release: BayesMixSurv_0.9.1.zip, r-oldrel: BayesMixSurv_0.9.1.zip
macOS binaries:	r-release (arm64): BayesMixSurv_0.9.1.tgz, r-oldrel (arm64): BayesMixSurv_0.9.1.tgz, r-release (x86_64): BayesMixSurv_0.9.1.tgz, r-oldrel (x86_64): BayesMixSurv_0.9.1.tgz
Old sources:	BayesMixSurv archive

Reverse dependencies:

Reverse suggests:

CFC

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesMixSurv to link to this page.