Package: crrstep 2024.1.1
Ravi Varadhan
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.
Authors:
crrstep_2024.1.1.tar.gz
crrstep_2024.1.1.tar.gz(r-4.5-noble)crrstep_2024.1.1.tar.gz(r-4.4-noble)
crrstep_2024.1.1.tgz(r-4.4-emscripten)crrstep_2024.1.1.tgz(r-4.3-emscripten)
crrstep.pdf |crrstep.html✨
crrstep/json (API)
NEWS
| # Install 'crrstep' in R: |
| install.packages('crrstep', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 days agofrom:b45125c844. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
Exports:crrstep
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Stepwise regression procedure for the Fine & Gray regression model in competing risks | crrstep-package |
| Stepwise regression for competing risks regression | crrstep |
