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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.
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Package details |
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| Author | Ravi Varadhan [aut, cre], Deborah Kuk [aut], Leon Wang [ctb] |
| Maintainer | Ravi Varadhan <ravi.varadhan@jhu.edu> |
| License | GPL (>= 2) |
| Version | 2025.1.1 |
| Package repository | View on CRAN |
| Installation |
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