Package: crrstep
Type: Package
Title: Stepwise Covariate Selection for the Fine & Gray Competing Risks
        Regression Model
Version: 2025.1.1
Date: 2025-12-31
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 backward 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. This version includes
        improved handling of factors, interactions, and polynomial
        terms.
Depends: R (>= 3.5.0)
Imports: cmprsk, stats, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Packaged: 2026-06-14 09:59:24 UTC; root
Author: Ravi Varadhan [aut, cre], Deborah Kuk [aut], Leon Wang [ctb]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Repository: https://rvaradhan.r-universe.dev
Date/Publication: 2026-01-15 02:29:11 UTC
RemoteUrl: https://github.com/cran/crrstep
RemoteRef: HEAD
RemoteSha: 16bea5802da98296d1bc429d601b1ca5263085db