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: 2014-07.16
Depends: cmprsk
Published: 2014-07-17
Author: Ravi Varadhan & Deborah Kuk
Maintainer: Ravi Varadhan <rvaradhan at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: Survival
CRAN checks: crrstep results


Reference manual: crrstep.pdf
Package source: crrstep_2014-07.16.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: crrstep_2014-07.16.tgz, r-oldrel: crrstep_2014-07.16.tgz
OS X Mavericks binaries: r-release: crrstep_2014-07.16.tgz
Old sources: crrstep archive

Reverse dependencies:

Reverse suggests: pec