Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model R package crrstep version 2025.1.1 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. Software Depends: R (>= 3.5.0) Imports: cmprsk, stats, utils Suggests: knitr, rmarkdown Ravi Varadhan <ravi.varadhan@jhu.edu> Comprehensive R Archive Network (CRAN) Ravi Varadhan [aut, cre], Deborah Kuk [aut], Leon Wang [ctb] GPL (>= 2) 2026-01-14 application/tgz https://CRAN.R-project.org/package=crrstep doi:10.32614/CRAN.package.crrstep