Bayesian Models for Partly Interval-Censored Data

Contains functions to fit proportional hazards (PH) model to partly interval-censored (PIC) data (Pan et al. (2020) ), PH model with spatial frailty to spatially dependent PIC data (Pan and Cai (2021) ), and mixed effects PH model to clustered PIC data. Each random intercept/random effect can follow both a normal prior and a Dirichlet process mixture prior. It also includes the corresponding functions for general interval-censored data.