Package: crrstep
Type: Package
Title: Stepwise Covariate Selection for the Fine & Gray Competing Risks
        Regression Model
Version: 2024.1.1
Date: 2024-10-27
Authors@R: c(person(given = "Ravi", family = "Varadhan",
                      role = c("aut", "cre"), email="ravi.varadhan@jhu.edu"),
               person(given = "Deborah",
                      family = "Kuk",
                      role = "aut"),
            person(given="Leon", family="Wang", role="ctb"))
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
NeedsCompilation: no
Repository: CRAN
Packaged: 2024-10-28 00:49:32 UTC; raviv
Author: Ravi Varadhan [aut, cre],
  Deborah Kuk [aut],
  Leon Wang [ctb]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Date/Publication: 2024-10-28 05:10:02 UTC
Built: R 4.6.0; ; 2025-10-14 02:21:02 UTC; windows
