CopulaCenR: Copula-Based Regression Models for Bivariate Censored Data
Copula-based regression models for bivariate censored data, including
bivariate right-censored data and bivariate interval-censored 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.
Method details can be found in Sun et.al (2019) Lifetime Data Analysis
and Sun et.al (In Press) Biostatistics.
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