Stagewise Variable Selection for Joint Models of Semi-Competing Risks R package swjm version 0.1.0 Implements stagewise regression for variable selection in joint models of recurrent events and terminal events (semi-competing risks). Supports two model frameworks: the joint frailty model (Cox-type) and the joint scale-change model (AFT-type). Provides cooperative lasso, lasso, and group lasso penalties with cross-validation for tuning parameter selection via cross-fitted estimating equations. Software Depends: R (>= 3.5.0) Imports: Rcpp, Matrix, stats, reReg LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0), survival, timeROC, knitr, rmarkdown Jared D. Huling <jaredhuling@gmail.com> Comprehensive R Archive Network (CRAN) Jared D. Huling [aut, cre], Lingfeng Huo [aut], Ziren Jiang [aut], Jue Hou [aut], Sy Han (Steven) Chiou [ctb], Chiung-Yu Huang [ctb] GPL (>= 3) 2026-04-21 application/tgz https://CRAN.R-project.org/package=swjm doi:10.32614/CRAN.package.swjm