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
Author: Ravi Varadhan & Deborah Kuk
Maintainer: Ravi Varadhan <ravi.varadhan at jhu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: crrstep results

Documentation:

Reference manual: crrstep.pdf

Downloads:

Package source: crrstep_2023.1.1.tar.gz
Windows binaries: r-devel: crrstep_2023.1.1.zip, r-release: crrstep_2023.1.1.zip, r-oldrel: crrstep_2023.1.1.zip
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
Old sources: crrstep archive

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