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

Downloads:

Reference manual: BayesMixSurv.pdf
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
OS X Mavericks binaries: r-release: BayesMixSurv_0.9.1.tgz, r-oldrel: BayesMixSurv_0.9.1.tgz
Old sources: BayesMixSurv archive

Reverse dependencies:

Reverse suggests: CFC

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