plot.ddpcomp

Plot simultaneous credible intervals or not. The default is FALSE.

simultaneous

Plot hazard ratio (TRUE) or log hazard ratio (FALSE). The default is FALSE.

plot estimated log subdistribution hazard ratio functions with credible intervals for cause 1 from an object of class ddpcomp.

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/right-censored/ interval-censored observations without competing risks and exact/right-censored 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. For wrapper of the DPdensity function from the R package DPpackage (already archived by CRAN) that uses the Low Information Omnibus prior, please check (<https://github.com/mjmartens/DPdensity-wrapper-with-LIO-prior>).

plot.ddpcomp: plot estimated log subdistribution hazard ratio functions for cause 1 from an object of class ddpcomp.

Description

Usage

Arguments

Value