The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

Simulating bivariate survival data from copula models. Estimation of the association parameter in copula models. Two different ways to estimate the association parameter in copula models are implemented. A goodness-of-fit test for a given copula model is implemented. See Emura, Lin and Wang (2010) <doi:10.1016/j.csda.2010.03.013> for details.

Version: 1.7
Depends: MASS
Published: 2024-10-26
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.pdf

Downloads:

Package source: Copula.surv_1.7.tar.gz
Windows binaries: r-devel: Copula.surv_1.7.zip, r-release: Copula.surv_1.7.zip, r-oldrel: Copula.surv_1.7.zip
macOS binaries: r-release (arm64): Copula.surv_1.7.tgz, r-oldrel (arm64): Copula.surv_1.7.tgz, r-release (x86_64): Copula.surv_1.7.tgz, r-oldrel (x86_64): Copula.surv_1.7.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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.