adjROC: Computing Sensitivity at a Fix Value of Specificity and Vice Versa as Well as Bootstrap Metrics for ROC Curves

For a binary classification the adjusted sensitivity and specificity are measured for a given fixed threshold. If the threshold for either sensitivity or specificity is not given, the crossing point between the sensitivity and specificity curves are returned. For bootstrap procedures, mean and CI bootstrap values of sensitivity, specificity, crossing point between specificity and specificity as well as AUC and AUCPR can be evaluated.

Version: 0.3
Imports: ROCit, ggplot2, boot, yardstick
Published: 2023-01-25
Author: E. F. Haghish
Maintainer: E. F. Haghish <haghish at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: adjROC results


Reference manual: adjROC.pdf


Package source: adjROC_0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): adjROC_0.3.tgz, r-oldrel (arm64): adjROC_0.3.tgz, r-release (x86_64): adjROC_0.3.tgz, r-oldrel (x86_64): adjROC_0.3.tgz
Old sources: adjROC archive


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