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: 2015-2.1
Depends: cmprsk
Published: 2015-02-23
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
In views: Survival
CRAN checks: crrstep results

Downloads:

Reference manual: crrstep.pdf
Package source: crrstep_2015-2.1.tar.gz
Windows binaries: r-devel: crrstep_2015-2.1.zip, r-release: crrstep_2015-2.1.zip, r-oldrel: crrstep_2015-2.1.zip
OS X Snow Leopard binaries: r-release: crrstep_2015-2.1.tgz, r-oldrel: crrstep_2015-2.1.tgz
OS X Mavericks binaries: r-release: crrstep_2015-2.1.tgz
Old sources: crrstep archive

Reverse dependencies:

Reverse suggests: pec