CRAN/E | adjROC

adjROC

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

Installation

About

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.

github.com/haghish/adjROC
www.sv.uio.no/psi/english/people/aca/haghish/
Bug report File report

Key Metrics

Version 0.3
Published 2023-01-25 464 days ago
Needs compilation? no
License MIT
License File
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Maintainer

Maintainer

E. F. Haghish

haghish@uio.no

Authors

E. F. Haghish

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

adjROC archive

Imports

ROCit
ggplot2
boot
yardstick