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

Performs forward and backwards 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.

Version: 2023.1.1
Depends: cmprsk
Published: 2023-08-22
DOI: 10.32614/CRAN.package.crrstep
Author: Ravi Varadhan & Deborah Kuk
Maintainer: Ravi Varadhan <ravi.varadhan at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: crrstep results


Reference manual: crrstep.pdf


Package source: crrstep_2023.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): crrstep_2023.1.1.tgz, r-oldrel (arm64): crrstep_2023.1.1.tgz, r-release (x86_64): crrstep_2023.1.1.tgz, r-oldrel (x86_64): crrstep_2023.1.1.tgz
Old sources: crrstep archive


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