Package: caROC 0.1.5

caROC: Continuous Biomarker Evaluation with Adjustment of Covariates

Compute covariate-adjusted specificity at controlled sensitivity level, or covariate-adjusted sensitivity at controlled specificity level, or covariate-adjust receiver operating characteristic curve, or covariate-adjusted thresholds at controlled sensitivity/specificity level. All statistics could also be computed for specific sub-populations given their covariate values. Methods are described in Ziyi Li, Yijian Huang, Datta Patil, Martin G. Sanda (2021+) "Covariate adjustment in continuous biomarker assessment".

Authors:Ziyi Li

caROC_0.1.5.tar.gz
caROC_0.1.5.zip(r-4.7)caROC_0.1.5.zip(r-4.6)caROC_0.1.5.zip(r-4.5)
caROC_0.1.5.tgz(r-4.6-any)caROC_0.1.5.tgz(r-4.5-any)
caROC_0.1.5.tar.gz(r-4.7-any)caROC_0.1.5.tar.gz(r-4.6-any)
caROC_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
caROC/json (API)

# Install 'caROC' in R:
install.packages('caROC', repos = c('https://ziyili20.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.

2.00 score 5 scripts 183 downloads 9 exports 8 dependencies

Last updated from:6c243aa38c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK188
linux-release-x86_64OK128
macos-release-arm64OK170
macos-oldrel-arm64OK154
windows-develOK96
windows-releaseOK88
windows-oldrelOK88
wasm-releaseOK94

Exports:caROCcaROC_CBcaThresholdplot_caROCplot_caROC_CBplot_sscaROCplot_sscaROC_CBsscaROCsscaROC_CB

Dependencies:latticeMASSMatrixMatrixModelsquantregRColorBrewerSparseMsurvival

Evaluate continuous biomarkers with caROC

Ziyi Li ([email protected])

Rendered fromcaROC.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2021-04-02
Started: 2021-04-02