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:Ravi Varadhan [aut, cre], Deborah Kuk [aut], Leon Wang [ctb]

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 stars 4 scripts 279 downloads 1 exports 4 dependencies

Last updated 2 days agofrom:b45125c844. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-linuxOKOct 29 2024

Exports:crrstep

Dependencies:cmprsklatticeMatrixsurvival