crrstep
Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model
Performs forward and backwards 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.
- Version2024.1.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Reference manual
- Last release10/28/2024
Documentation
Team
Ravi Varadhan
MaintainerShow author detailsLeon Wang
Show author detailsRolesContributorDeborah Kuk
Show author detailsRolesAuthor
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- Depends1 package