Analysis of Semi-Competing Risks Data Using Copula-Based Models R package CopulaSCR version 1.0.1 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>. Software Depends: foreach, R (>= 4.3.0), survival Imports: acopula, copula (>= 1.1-3), cowplot, doParallel (>= 1.0.17), graph (>= 1.80.0), graphics, parallel, pracma, prodlim (>= 2023.08.28), quantreg (>= 5.97), Rcpp, Rgraphviz (>= 2.46.0), stats, survminer, utils LinkingTo: Rcpp Tonghui Yu <tonghui_yu@126.com> Comprehensive R Archive Network (CRAN) Tonghui Yu [aut, cre], Binhui Zhang [aut] GPL-3 2026-06-12 application/tgz https://CRAN.R-project.org/package=CopulaSCR doi:10.32614/CRAN.package.CopulaSCR