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