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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.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp, Matrix, stats, reReg |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0), survival, timeROC, knitr, rmarkdown |
| Published: | 2026-04-21 |
| DOI: | 10.32614/CRAN.package.swjm |
| Author: | Jared D. Huling [aut, cre], Lingfeng Huo [aut], Ziren Jiang [aut], Jue Hou [aut], Sy Han (Steven) Chiou [ctb], Chiung-Yu Huang [ctb] |
| Maintainer: | Jared D. Huling <jaredhuling at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | swjm results |
| Reference manual: | swjm.html , swjm.pdf |
| Vignettes: |
Stagewise Variable Selection for Joint Semi-Competing Risk Models (source, R code) |
| Package source: | swjm_0.1.0.tar.gz |
| Windows binaries: | r-release: swjm_0.1.0.zip, r-oldrel: swjm_0.1.0.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): swjm_0.1.0.tgz, r-release (x86_64): swjm_0.1.0.tgz, r-oldrel (x86_64): swjm_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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