Package: swjm
Title: Stagewise Variable Selection for Joint Models of Semi-Competing
        Risks
Version: 0.1.0
Authors@R: c(
    person(family="Huling", given="Jared D.", role = c("aut", "cre"),
    email = "jaredhuling@gmail.com"),
    person(family="Huo", given="Lingfeng", role = c("aut")),
    person(family="Jiang", given="Ziren", role = "aut"),
    person(family="Hou", given="Jue", role = "aut"),
    person(given = "Sy Han (Steven)", family = "Chiou", role = "ctb"),
    person(given = "Chiung-Yu", family = "Huang", role = "ctb"))
Description: 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.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, Matrix, stats, reReg
Suggests: testthat (>= 3.0.0), survival, timeROC, knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-16 13:00:19 UTC; huling
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@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 18:50:09 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2026-04-21 23:52:59 UTC; windows
Archs: x64
