CopulaSCR
Analysis of Semi-Competing Risks Data Using Copula-Based Models
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | CopulaSCR_1.0.1.tar.gz |
72.8 KiB |
1.0.1 |
rolling linux/noble R-4.5 | CopulaSCR_1.0.1.tar.gz |
72.8 KiB |
1.0.1 |
rolling source/ R- | CopulaSCR_1.0.1.tar.gz |
72.8 KiB |
1.0.1 |
latest linux/jammy R-4.5 | CopulaSCR_1.0.1.tar.gz |
72.8 KiB |
1.0.1 |
latest linux/noble R-4.5 | CopulaSCR_1.0.1.tar.gz |
72.8 KiB |
1.0.1 |
latest source/ R- | CopulaSCR_1.0.1.tar.gz |
72.8 KiB |
1.0.1 |
2026-04-23 source/ R- | CopulaSCR_1.0.1.tar.gz |
0 B |