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 (2019) Lifetime Data Analysis and Sun (In Press) Biostatistics.

Getting started

Package details

AuthorTao Sun, Ying Ding
MaintainerTao Sun <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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CopulaCenR documentation built on March 1, 2021, 5:06 p.m.