Perform association analysis of bivariate survival data based on 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. A more general reference for the copula-based analysis of bivariate survival data is Emura, Matsui, and Rondeau (2019) <doi:10.1007/978-981-13-3516-7>.
| Version: | 1.1 |
| Published: | 2020-09-11 |
| Author: | Takeshi Emura |
| Maintainer: | Takeshi Emura <takeshiemura at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | Copula.surv results |
| Reference manual: | Copula.surv.pdf |
| Package source: | Copula.surv_1.1.tar.gz |
| Windows binaries: | r-devel: Copula.surv_1.1.zip, r-release: Copula.surv_1.1.zip, r-oldrel: Copula.surv_1.1.zip |
| macOS binaries: | r-release: Copula.surv_1.1.tgz, r-oldrel: Copula.surv_1.1.tgz |
| Old sources: | Copula.surv archive |
Please use the canonical form https://CRAN.R-project.org/package=Copula.surv to link to this page.