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.

Version: 2025.1.1
Depends: R (≥ 3.5.0)
Imports: cmprsk, stats, utils
Suggests: knitr, rmarkdown
Published: 2026-01-14
DOI: 10.32614/CRAN.package.crrstep
Author: Ravi Varadhan [aut, cre], Deborah Kuk [aut], Leon Wang [ctb]
Maintainer: Ravi Varadhan <ravi.varadhan at jhu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: crrstep citation info
Materials: NEWS
CRAN checks: crrstep results

Documentation:

Reference manual: crrstep.html , crrstep.pdf
Vignettes: crrstep-tutorial (source, R code)

Downloads:

Package source: crrstep_2025.1.1.tar.gz
Windows binaries: r-devel: crrstep_2024.1.1.zip, r-release: crrstep_2025.1.1.zip, r-oldrel: crrstep_2024.1.1.zip
macOS binaries: r-release (arm64): crrstep_2025.1.1.tgz, r-oldrel (arm64): crrstep_2025.1.1.tgz, r-release (x86_64): crrstep_2025.1.1.tgz, r-oldrel (x86_64): crrstep_2025.1.1.tgz
Old sources: crrstep archive

Linking:

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