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:	2024.1.1
Depends:	cmprsk
Published:	2024-10-28
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
Materials:	NEWS
CRAN checks:	crrstep results

Documentation:

Reference manual:

crrstep.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=crrstep to link to this page.