Package: crrcbcv 1.0

Xinyuan Chen

crrcbcv: Bias-Corrected Variance for Competing Risks Regression with Clustered Data

A user friendly function 'crrcbcv' to compute bias-corrected variances for competing risks regression models using proportional subdistribution hazards with small-sample clustered data. Four types of bias correction are included: the MD-type bias correction by Mancl and DeRouen (2001) <doi:10.1111/j.0006-341X.2001.00126.x>, the KC-type bias correction by Kauermann and Carroll (2001) <doi:10.1198/016214501753382309>, the FG-type bias correction by Fay and Graubard (2001) <doi:10.1111/j.0006-341X.2001.01198.x>, and the MBN-type bias correction by Morel, Bokossa, and Neerchal (2003) <doi:10.1002/bimj.200390021>.

Authors:Xinyuan Chen [aut, cre, cph], Fan Li [aut]

crrcbcv_1.0.tar.gz
crrcbcv_1.0.tar.gz(r-4.5-noble)crrcbcv_1.0.tar.gz(r-4.4-noble)
crrcbcv_1.0.tgz(r-4.4-emscripten)crrcbcv_1.0.tgz(r-4.3-emscripten)
crrcbcv.pdf |crrcbcv.html
crrcbcv/json (API)

# Install 'crrcbcv' in R:
install.packages('crrcbcv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • cls - Clustered competing risks simulated data

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

1.70 score 7 scripts 147 downloads 1 exports 6 dependencies

Last updated 3 years agofrom:f9a05c9ae0. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 24 2024
R-4.5-linuxOKDec 24 2024

Exports:crrcbcv

Dependencies:abindcrrSClatticeMatrixpracmasurvival