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 = 'https://cloud.r-project.org')
Datasets:
  • cls - Clustered competing risks simulated data

On CRAN:

Conda:

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

1.70 score 175 downloads 1 exports 6 dependencies

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

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-linuxOKMar 24 2025
R-4.4-linuxOKMar 24 2025

Exports:crrcbcv

Dependencies:abindcrrSClatticeMatrixpracmasurvival

Citation

To cite package ‘crrcbcv’ in publications use:

Chen X, Li F (2021). crrcbcv: Bias-Corrected Variance for Competing Risks Regression with Clustered Data. R package version 1.0, https://CRAN.R-project.org/package=crrcbcv.

Corresponding BibTeX entry: 

  @Manual{,
    title = {crrcbcv: Bias-Corrected Variance for Competing Risks
      Regression with Clustered Data},
    author = {Xinyuan Chen and Fan Li},
    year = {2021},
    note = {R package version 1.0},
    url = {https://CRAN.R-project.org/package=crrcbcv},
  }

Readme and manuals

crrcbcv

This package offers 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), the KC-type bias correction by Kauermann and Carroll (2001), the FG-type bias correction by Fay and Graubard (2001), and the MBN-type bias correction by Morel, Bokossa, and Neerchal (2003).

Installation

You can install the released version of crrcbcv from CRAN with:

install.packages("crrcbcv")

Example

This is a basic example which shows you how to solve a common problem:

library(crrcbcv)
#> Loading required package: crrSC
#> Loading required package: survival
#> Loading required package: abind
#> Loading required package: pracma

data(cls)
mod.est = crrc(ftime=cls$T_obs, fstatus=cls$eps, cov1=cls[,c('X_1','X_2')], cluster=cls$I)
crrcbcv(beta=mod.est$coef, ftime=cls$T_obs, fstatus=cls$eps, cov1=cls[,c('X_1','X_2')],
cluster=cls$I, var.type=c('MD','KC','FG','MBN'))
#> $MD
#>            [,1]        [,2]
#> [1,] 0.18712217 0.013304534
#> [2,] 0.01330453 0.007767604
#> 
#> $KC
#>            [,1]        [,2]
#> [1,] 0.14807541 0.155472768
#> [2,] 0.01351378 0.006116421
#> 
#> $FG
#>             [,1]        [,2]
#> [1,] 0.145317028 0.005252785
#> [2,] 0.005252785 0.005509824
#> 
#> $MBN
#>             [,1]        [,2]
#> [1,] 0.133946021 0.004038105
#> [2,] 0.004038105 0.008991263
#> 
#> attr(,"class")
#> [1] "crrcbcv"