Package: Copula.surv 1.6
Takeshi Emura
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.
Authors:
Copula.surv_1.6.tar.gz
Copula.surv_1.6.tar.gz(r-4.5-noble)Copula.surv_1.6.tar.gz(r-4.4-noble)
Copula.surv_1.6.tgz(r-4.4-emscripten)Copula.surv_1.6.tgz(r-4.3-emscripten)
Copula.surv.pdf |Copula.surv.html✨
Copula.surv/json (API)
| # Install 'Copula.surv' in R: |
| install.packages('Copula.surv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:be85b7e721. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 21 2024 |
| R-4.5-linux | OK | Aug 21 2024 |
Exports:simu.BB1simu.CCsimu.Claytonsimu.FGMsimu.Franksimu.GBsimu.Gumbelsimu.JoeTest.ClaytonTest.GumbelU1.ClaytonU1.GumbelU2.ClaytonU2.GumbelWeib.reg.BB1Weib.reg.BB1.0Weib.reg.ClaytonWeib.reg.Gumbel
Dependencies:
