Copula.surv: Analysis of Bivariate Survival Data Based on Copulas

Simulating bivariate survival data from various copula models. Estimating bivariate copula models with semiparametric or Weibull margins under various copulas. Two different ways to estimate the association parameter in copula models are implemented. A goodness-of-fit test for the Gumbel and Clayton copulas is also implemented for semiparametric models. See Emura, Lin and Wang (2010) <doi:10.1016/j.csda.2010.03.013> for details.

Version:	3.1
Depends:	MASS
Published:	2026-05-25
DOI:	10.32614/CRAN.package.Copula.surv
Author:	Takeshi Emura [aut, cre]
Maintainer:	Takeshi Emura <takeshiemura at gmail.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	Copula.surv results

Documentation:

Reference manual:

Copula.surv.html , Copula.surv.pdf

Downloads:

Package source:	Copula.surv_3.1.tar.gz
Windows binaries:	r-devel: Copula.surv_3.0.zip, r-release: Copula.surv_3.0.zip, r-oldrel: Copula.surv_3.0.zip
macOS binaries:	r-release (arm64): Copula.surv_3.0.tgz, r-oldrel (arm64): Copula.surv_3.0.tgz, r-release (x86_64): Copula.surv_3.0.tgz, r-oldrel (x86_64): Copula.surv_3.0.tgz
Old sources:	Copula.surv archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Copula.surv to link to this page.