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.

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

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Man pages

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

Files in this package

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