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.

Author | Alireza S. Mahani, Mansour T.A. Sharabiani |

Date of publication | 2016-09-08 10:24:27 |

Maintainer | Alireza S. Mahani <alireza.s.mahani@gmail.com> |

License | GPL (>= 2) |

Version | 0.9.1 |

**BayesMixSurv:** Dynamic Bayesian survival model - with stratification and...

**BayesMixSurv_CrossVal:** Convenience functions for cross-validation-based selection of...

**plot_BayesMixSurv:** Plot diagnostics for a bayesmixsurv object

**predict_BayesMixSurv:** Predict method for bayesmixsurv model fits

**summary_BayesMixSurv:** Summarizing BayesMixSurv model fits

BayesMixSurv

BayesMixSurv/NAMESPACE

BayesMixSurv/R

BayesMixSurv/R/utils.R
BayesMixSurv/R/SliceSampler.R
BayesMixSurv/R/Sample.R
BayesMixSurv/R/zzz.R
BayesMixSurv/R/BayesMixSurv.R
BayesMixSurv/MD5

BayesMixSurv/DESCRIPTION

BayesMixSurv/ChangeLog

BayesMixSurv/man

BayesMixSurv/man/predict_BayesMixSurv.Rd
BayesMixSurv/man/BayesMixSurv_CrossVal.Rd
BayesMixSurv/man/plot_BayesMixSurv.Rd
BayesMixSurv/man/BayesMixSurv.Rd
BayesMixSurv/man/summary_BayesMixSurv.Rd
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