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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 |
| 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 |
| 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 |
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