swjm: Stagewise Variable Selection for Joint Models of Semi-Competing
Risks
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 (may not be active yet) |
| 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 |
Documentation:
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