crrstep (2013-02.12)
Stepwise covariate selection for the Fine & Gray competing risks regression model.
http://cran.r-project.org/web/packages/crrstep
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.
Maintainer:
Ravi Varadhan
Author(s): Ravi Varadhan & Deborah Kuk
License: GPL (>= 2)
Uses: cmprsk
Reverse suggests: pec
Released 3 months ago.
4 previous versions
- crrstep_2013-01.21. Released 4 months ago.
- crrstep_2012-10.13. Released 7 months ago.
- crrstep_2012-8.13. Released 9 months ago.
- crrstep_2012-5.3. Released about 1 year ago.
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