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CopulaSCR  

Analysis of Semi-Competing Risks Data Using Copula-Based Models
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/CopulaSCR")

Install by package version:
library("remotes")
install_version("CopulaSCR", "1.0.1")



Attach the package and use:
library("CopulaSCR")
Maintained by
Tonghui Yu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-12
Latest Update: 2026-06-12
Description:
Simulate and analyze Semi-competing Risks Data using copula-based models. The Semi-competing Risks Data consist of a terminal event time and single or multiple intermediate event times. The marginal survival functions of these event times are estimated without parametric assumptions. The association parameters measuring dependency among these event times involving the copula model are yielded from solving a concordance estimating equations or maximizing a pseudo-likelihood function. Details can be found in the article by Tonghui Yu and Liming Xiang (2026) <doi:10.1093/biomtc/ujag087>.
How to cite:
Tonghui Yu (2026). CopulaSCR: Analysis of Semi-Competing Risks Data Using Copula-Based Models. R package version 1.0.1, https://cran.r-project.org/web/packages/CopulaSCR. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Complete documentation for CopulaSCR
Functions, R codes and Examples using the CopulaSCR R package
Full CopulaSCR package functions and examples
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