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.

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 pitt.edu>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	CopulaCenR results

Documentation:

Reference manual:

CopulaCenR.pdf

Downloads:

Package source:	CopulaCenR_1.1.3.tar.gz
Windows binaries:	r-devel: CopulaCenR_1.1.3.zip, r-release: CopulaCenR_1.1.3.zip, r-oldrel: CopulaCenR_1.1.3.zip
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

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