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>.
| Version: | 1.0.1 |
| 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 |
| Published: | 2026-06-12 |
| DOI: | 10.32614/CRAN.package.CopulaSCR (may not be active yet) |
| Author: | Tonghui Yu [aut, cre], Binhui Zhang [aut] |
| Maintainer: | Tonghui Yu <tonghui_yu at 126.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | CopulaSCR results |
| Reference manual: | CopulaSCR.html , CopulaSCR.pdf |
| Package source: | CopulaSCR_1.0.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: CopulaSCR_1.0.1.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): CopulaSCR_1.0.1.tgz, r-oldrel (arm64): CopulaSCR_1.0.1.tgz, r-release (x86_64): CopulaSCR_1.0.1.tgz, r-oldrel (x86_64): CopulaSCR_1.0.1.tgz |
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