Package: CoxBcv 0.0.1.0

CoxBcv: Bias-Corrected Sandwich Variance Estimators for Marginal Cox Analysis of Cluster Randomized Trials

The implementation of bias-corrected sandwich variance estimators for the analysis of cluster randomized trials with time-to-event outcomes using the marginal Cox model, proposed by Wang et al. (under review).

Authors:Xueqi Wang [aut, cre], Elizabeth Turner [aut], Fan Li [aut]

CoxBcv_0.0.1.0.tar.gz
CoxBcv_0.0.1.0.zip(r-4.5)CoxBcv_0.0.1.0.zip(r-4.4)CoxBcv_0.0.1.0.zip(r-4.3)
CoxBcv_0.0.1.0.tgz(r-4.4-any)CoxBcv_0.0.1.0.tgz(r-4.3-any)
CoxBcv_0.0.1.0.tar.gz(r-4.5-noble)CoxBcv_0.0.1.0.tar.gz(r-4.4-noble)
CoxBcv_0.0.1.0.tgz(r-4.4-emscripten)CoxBcv_0.0.1.0.tgz(r-4.3-emscripten)
CoxBcv.pdf |CoxBcv.html✨
CoxBcv/json (API)

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

Peer review:

On CRAN:

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

1.00 score 227 downloads 10 exports 4 dependencies

Last updated 3 years agofrom:812b5f08aa. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macOKNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

Exports:CoxBcv.fgCoxBcv.fgmrCoxBcv.kcCoxBcv.kcmrCoxBcv.mbnCoxBcv.mbnmrCoxBcv.mdCoxBcv.mdmrCoxBcv.mrCoxBcv.rob

Dependencies:latticeMatrixpracmasurvival