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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:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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