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.
| Version: | 0.1.0 |
| Imports: | trust, dplyr, rlang, VineCopula |
| Suggests: | knitr, rmarkdown, kableExtra, SemiCompRisks |
| Published: | 2026-06-08 |
| DOI: | 10.32614/CRAN.package.PMLE4SCR (may not be active yet) |
| Author: | Qian M. Zhou [aut], Md. Ismail Hossain [aut, cre] |
| Maintainer: | Md. Ismail Hossain <mr2618 at msstate.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | PMLE4SCR results |
| Reference manual: | PMLE4SCR.html , PMLE4SCR.pdf |
| Vignettes: |
Introduction to PMLE4SCR (source, R code) |
| Package source: | PMLE4SCR_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: PMLE4SCR_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): PMLE4SCR_0.1.0.tgz, r-oldrel (arm64): PMLE4SCR_0.1.0.tgz, r-release (x86_64): PMLE4SCR_0.1.0.tgz, r-oldrel (x86_64): PMLE4SCR_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=PMLE4SCR to link to this page.