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
DOI:	10.32614/CRAN.package.adjROC
Author:	E. F. Haghish
Maintainer:	E. F. Haghish <haghish at uio.no>
BugReports:	https://github.com/haghish/adjROC/issues
License:	MIT + file LICENSE
URL:	https://github.com/haghish/adjROC, https://www.sv.uio.no/psi/english/people/aca/haghish/
NeedsCompilation:	no
Materials:	README
CRAN checks:	adjROC results

Documentation:

Reference manual:

adjROC.html , adjROC.pdf

Downloads:

Package source:	adjROC_0.3.tar.gz
Windows binaries:	r-devel: adjROC_0.3.zip, r-release: adjROC_0.3.zip, r-oldrel: adjROC_0.3.zip
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

Linking:

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