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caROC (version 0.1.5)

Continuous Biomarker Evaluation with Adjustment of Covariates

Description

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".

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Version

Install

install.packages('caROC')

Monthly Downloads

248

Version

0.1.5

License

GPL-2

Maintainer

Ziyi Li

Last Published

April 2nd, 2021

Functions in caROC (0.1.5)

caThreshold

Calculate covariate-adjusted threshold.
caROC

Covariate-adjusted ROC
sscaROC

Covariate-adjusted continuous biomarker evaluations for specific population.
plot_sscaROC

Plot covariate-adjusted ROC for specific subpopulations.
plot_caROC_CB

Plot confidence band of covariate-adjusted ROC.
plot_sscaROC_CB

Plot confidence band of covariate-adjusted ROC in specific subpopulations.
plot_caROC

Plot covariate-adjusted ROC.
caROC_CB

Get confidence band for covariate-adjusted ROC curve.
sscaROC_CB

Get confidence band for covariate-adjusted ROC curve for specified sub-population.