Package: swjm 0.1.1

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.

Authors:Jared D. Huling [aut, cre], Lingfeng Huo [aut], Ziren Jiang [aut], Jue Hou [aut], Sy Han Chiou [ctb], Chiung-Yu Huang [ctb]

swjm_0.1.1.tar.gz
swjm_0.1.1.zip(r-4.7)swjm_0.1.1.zip(r-4.6)swjm_0.1.1.zip(r-4.5)
swjm_0.1.1.tgz(r-4.6-x86_64)swjm_0.1.1.tgz(r-4.6-arm64)swjm_0.1.1.tgz(r-4.5-x86_64)swjm_0.1.1.tgz(r-4.5-arm64)
swjm_0.1.1.tar.gz(r-4.7-arm64)swjm_0.1.1.tar.gz(r-4.7-x86_64)swjm_0.1.1.tar.gz(r-4.6-arm64)swjm_0.1.1.tar.gz(r-4.6-x86_64)
swjm_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
swjm/json (API)

# Install 'swjm' in R:
install.packages('swjm', repos = c('https://jaredhuling.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jaredhuling/swjm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

4.54 score 8 scripts 530 downloads 6 exports 40 dependencies

Last updated from:cee664142a. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK181
linux-devel-x86_64OK194
source / vignettesOK600
linux-release-arm64OK199
linux-release-x86_64OK198
macos-release-arm64OK99
macos-release-x86_64OK309
macos-oldrel-arm64OK107
macos-oldrel-x86_64OK226
windows-develOK177
windows-releaseOK231
windows-oldrelOK154
wasm-releaseOK137

Exports:baseline_hazardcv_stagewisegenerate_datagenerate_data_jfmgenerate_data_jscmstagewise_fit

Dependencies:BBclicpp11dfoptimdirectlabelsfarverggplot2gluegtableisobandlabelinglatticelifecycleMASSMatrixmgcvnleqslvnlmenloptrnumDerivoptimxpracmaquadprogR6RColorBrewerRcppRcppArmadilloredareRegrlangrootSolveS7scalesscamsplines2SQUAREMsurvivalvctrsviridisLitewithr

Stagewise Variable Selection for Joint Semi-Competing Risk Models

Rendered fromswjm.Rmdusingknitr::rmarkdownon May 23 2026.

Last update: 2026-04-05
Started: 2026-03-15