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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:

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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.