# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PMLE4SCR" in publications use:' type: software license: MIT title: 'PMLE4SCR: Pseudo Maximum Likelihood Estimation for Semi-Competing Risks Data' version: 0.1.0 abstract: 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) for details. authors: - family-names: Zhou given-names: Qian M. email: qz70@msstate.edu - family-names: Hossain given-names: Md. Ismail email: mr2618@msstate.edu repository: https://cran.r-universe.dev commit: 89ef78a26238f9a42aba6643aacdc2f7e82ea98a date-released: '2026-06-08' contact: - family-names: Hossain given-names: Md. Ismail email: mr2618@msstate.edu