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-4.7)CoxBcv_0.0.1.0.zip(r-4.6)CoxBcv_0.0.1.0.zip(r-4.5)
CoxBcv_0.0.1.0.tgz(r-4.6-any)CoxBcv_0.0.1.0.tgz(r-4.5-any)
CoxBcv_0.0.1.0.tar.gz(r-4.7-any)CoxBcv_0.0.1.0.tar.gz(r-4.6-any)
CoxBcv_0.0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CoxBcv/json (API)

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

On CRAN:

Conda:

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

1.00 score 186 downloads 10 exports 4 dependencies

Last updated from:812b5f08aa. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK159
linux-release-x86_64OK114
macos-release-arm64OK176
macos-oldrel-arm64OK210
windows-develOK81
windows-releaseOK90
windows-oldrelOK88
wasm-releaseOK91

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

Dependencies:latticeMatrixpracmasurvival