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 |
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