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crrstep : Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model

Package: crrstep
Type: Package
Title: Stepwise Covariate Selection for the Fine & Gray Competing Risks
Regression Model
Version: 2015-2.1
Date: 2015-02.23
Author: Ravi Varadhan & Deborah Kuk
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Description: 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.
Depends: cmprsk
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2015-02-23 20:33:47 UTC; rvaradh1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-02-23 23:17:17

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