Use Dirichlet process Weibull mixture model and dependent Dirichlet process Weibull mixture model for survival data with and without competing risks. Dirichlet process Weibull mixture model is used for data without covariates and dependent Dirichlet process model is used for regression data. The package is designed to handle exact/rightcensored/ intervalcensored observations without competing risks and exact/rightcensored observations for data with competing risks. Inside each cluster of Dirichlet process, we assume a multiplicative effect of covariates as in Cox model and Fine and Gray model.
Package details 


Author  Yushu Shi 
Date of publication  20170904 22:46:14 UTC 
Maintainer  Yushu Shi <[email protected]> 
License  GPL (>= 2) 
Version  1.1 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.