Pseudo Maximum Likelihood Estimation for Semi-Competing Risks Data R package PMLE4SCR version 0.1.0 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. Software Imports: trust, dplyr, rlang, VineCopula Suggests: knitr, rmarkdown, kableExtra, SemiCompRisks Md. Ismail Hossain <mr2618@msstate.edu> Comprehensive R Archive Network (CRAN) Qian M. Zhou [aut], Md. Ismail Hossain [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=PMLE4SCR/LICENSE) 2026-06-08 application/tgz https://CRAN.R-project.org/package=PMLE4SCR doi:10.32614/CRAN.package.PMLE4SCR