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 |
rolling linux/jammy R-4.5 | crrstep_2025.1.1.tar.gz |
76.7 KiB |
2025.1.1 |
rolling linux/noble R-4.5 | crrstep_2025.1.1.tar.gz |
76.7 KiB |
2025.1.1 |
rolling source/ R- | crrstep_2025.1.1.tar.gz |
31.6 KiB |
2025.1.1 |
latest linux/jammy R-4.5 | crrstep_2025.1.1.tar.gz |
76.7 KiB |
2025.1.1 |
latest linux/noble R-4.5 | crrstep_2025.1.1.tar.gz |
76.7 KiB |
2025.1.1 |
latest source/ R- | crrstep_2025.1.1.tar.gz |
31.6 KiB |
2025.1.1 |
2026-04-26 source/ R- | crrstep_2025.1.1.tar.gz |
31.6 KiB |
2025.1.1 |
2026-04-23 source/ R- | crrstep_2025.1.1.tar.gz |
31.6 KiB |
2025.1.1 |
2026-04-09 windows/windows R-4.5 | crrstep_2025.1.1.zip |
79.0 KiB |
2024.1.1 |
2025-04-20 source/ R- | crrstep_2024.1.1.tar.gz |
6.5 KiB |