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Copula.surv  

Analysis of Bivariate Survival Data Based on Copulas
View on CRAN: Click here


Download and install Copula.surv package within the R console
Install from CRAN:
install.packages("Copula.surv")

Install from Github:
library("remotes")
install_github("cran/Copula.surv")

Install by package version:
library("remotes")
install_version("Copula.surv", "1.4")



Attach the package and use:
library("Copula.surv")
Maintained by
Takeshi Emura
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-03
Latest Update: 2024-02-25
Description:
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) for details.
How to cite:
Takeshi Emura (2018). Copula.surv: Analysis of Bivariate Survival Data Based on Copulas. R package version 1.4, https://cran.r-project.org/web/packages/Copula.surv
Previous versions and publish date:
1.0 (2018-12-03 10:52), 1.1 (2020-09-11 10:00), 1.2 (2022-03-05 16:20), 1.3 (2024-02-25 13:40), 1.4 (2024-03-11 06:10)
Other packages that cited Copula.surv R package
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Other R packages that Copula.surv depends, imports, suggests or enhances
Functions, R codes and Examples using the Copula.surv R package
Some associated functions: Copula.surv-package . Test.Clayton . Test.Gumbel . U1.Clayton . U1.Gumbel . U2.Clayton . U2.Gumbel . simu.BB1 . simu.Clayton . simu.FGM . simu.Frank . simu.Gumbel . 
Some associated R codes: Test.Clayton.R . Test.Gumbel.R . U1.Clayton.R . U1.Gumbel.R . U2.Clayton.R . U2.Gumbel.R . simu.BB1.R . simu.Clayton.R . simu.FGM.R . simu.Frank.R . simu.Gumbel.R .  Full Copula.surv package functions and examples
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