crrstep
Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2025.1.1 |
2026-04-09 windows/windows R-4.5 | crrstep_2025.1.1.zip |
79.0 KiB |