Package: Copula.surv 3.1

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.

Authors:Takeshi Emura [aut, cre]

Copula.surv_3.1.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
Copula.surv/json (API)

# Install 'Copula.surv' in R:
install.packages('Copula.surv', repos = c('https://takeshiemura1.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 3 scripts 305 downloads 23 exports 1 dependencies

Last updated from:e1d4cc7849. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK131
source / vignettesOK147
linux-release-x86_64OK145
macos-release-arm64OK94
macos-oldrel-arm64OK86
windows-develOK74
windows-releaseOK75
windows-oldrelOK77
wasm-releaseOK83

Exports:simu.BB1simu.BB1regsimu.CCsimu.Claytonsimu.FGMsimu.Franksimu.GBsimu.Gumbelsimu.Joesimu.tTest.ClaytonTest.GumbelU1.ClaytonU1.GumbelU2.ClaytonU2.GumbelWeib.reg.BB1Weib.reg.BB1aWeib.reg.cBB1Weib.reg.cBB1aWeib.reg.ClaytonWeib.reg.FrankWeib.reg.Gumbel

Dependencies:MASS