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