PMLE4SCR
Pseudo Maximum Likelihood Estimation for Semi-Competing Risks Data
Implements two-stage pseudo maximum likelihood estimation (PMLE) for copula-based regression models with semi-competing risks data. The marginal distributions are modeled by semiparametric transformation regression models, and the dependence between bivariate event times is specified by a parametric copula function. See Arachchige, Chen and Zhou (2025) <doi:10.1007/s10985-024-09640-z> for details.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | PMLE4SCR_0.1.0.tar.gz |
127.6 KiB |
0.1.0 |
rolling linux/noble R-4.5 | PMLE4SCR_0.1.0.tar.gz |
127.3 KiB |
0.1.0 |
rolling source/ R- | PMLE4SCR_0.1.0.tar.gz |
23.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | PMLE4SCR_0.1.0.tar.gz |
127.6 KiB |
0.1.0 |
latest linux/noble R-4.5 | PMLE4SCR_0.1.0.tar.gz |
127.3 KiB |
0.1.0 |
latest source/ R- | PMLE4SCR_0.1.0.tar.gz |
23.8 KiB |
0.1.0 |
2026-04-23 source/ R- | PMLE4SCR_0.1.0.tar.gz |
0 B |