Package: crrstep 2025.1.1

crrstep: Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model

Performs forward and backward stepwise regression for the proportional subdistribution hazards model in competing risks (Fine & Gray 1999). Procedure uses AIC, BIC and BICcr as selection criteria. BICcr has a penalty of k = log(n*), where n* is the number of primary events. This version includes improved handling of factors, interactions, and polynomial terms.

Authors:Ravi Varadhan [aut, cre], Deborah Kuk [aut], Leon Wang [ctb]

crrstep_2025.1.1.tar.gz
crrstep_2025.1.1.zip(r-4.7)crrstep_2025.1.1.zip(r-4.6)crrstep_2025.1.1.zip(r-4.5)
crrstep_2025.1.1.tgz(r-4.6-any)crrstep_2025.1.1.tgz(r-4.5-any)
crrstep_2025.1.1.tar.gz(r-4.7-any)crrstep_2025.1.1.tar.gz(r-4.6-any)
crrstep_2025.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
crrstep/json (API)
NEWS

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.20 score 2 stars 6 scripts 273 downloads 8 mentions 1 exports 4 dependencies

Last updated from:16bea5802d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK124
source / vignettesOK171
linux-release-x86_64OK122
macos-release-arm64OK89
macos-oldrel-arm64OK92
windows-develOK89
windows-releaseOK98
windows-oldrelOK101
wasm-releaseOK94

Exports:crrstep

Dependencies:cmprsklatticeMatrixsurvival

Stepwise Selection for Fine-Gray Competing Risks Models

Ravi Varadhan, Deborah Kuk

Rendered fromcrrstep-tutorial.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2026-01-15
Started: 2026-01-15

Readme and manuals

Help Manual

Help pageTopics
Stepwise regression procedure for the Fine & Gray regression model in competing riskscrrstep-package
Stepwise Regression for Fine-Gray Competing Risks ModelAIC.crrstep BIC.crrstep coef.crrstep confint.crrstep crrstep logLik.crrstep print.crrstep print.summary.crrstep summary.crrstep vcov.crrstep