CopulaCenR - Copula-Based Regression Models for Multivariate Censored Data
Copula-based regression models for multivariate censored
data, including bivariate right-censored data, bivariate
interval-censored data, and right/interval-censored
semi-competing risks data. Currently supports Clayton, Gumbel,
Frank, Joe, AMH and Copula2 copula models. For marginal models,
it supports parametric (Weibull, Loglogistic, Gompertz) and
semiparametric (Cox and transformation) models. Includes
methods for convenient prediction and plotting. Also provides a
bivariate time-to-event simulation function and an information
ratio-based goodness-of-fit test for copula. Method details can
be found in Sun et.al (2019) Lifetime Data Analysis, Sun et.al
(2021) Biostatistics, Sun et.al (2022) Statistical Methods in
Medical Research, Sun et.al (2022) Biometrics, and Sun et al.
(2023+) JRSSC.
