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
Repository: CRAN
Packaged: 2025-12-31 15:12:00 UTC; raviv
Author: Ravi Varadhan [aut, cre],
  Deborah Kuk [aut],
  Leon Wang [ctb]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Date/Publication: 2026-01-14 23:50:17 UTC
Built: R 4.6.0; ; 2026-04-26 03:14:57 UTC; unix
