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.

Version: 1.1.3
Imports: caret, copula, corpcor, flexsurv, icenReg, magrittr, plotly, pracma, survival
Published: 2021-03-01
Author: Tao Sun, Ying Ding
Maintainer: Tao Sun <tao.sun at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: CopulaCenR results


Reference manual: CopulaCenR.pdf


Package source: CopulaCenR_1.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CopulaCenR_1.1.3.tgz, r-oldrel (arm64): CopulaCenR_1.1.3.tgz, r-release (x86_64): CopulaCenR_1.1.3.tgz, r-oldrel (x86_64): CopulaCenR_1.1.3.tgz
Old sources: CopulaCenR archive


Please use the canonical form to link to this page.