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OptimalCutpoints: Computing Optimal Cutpoints in Diagnostic Tests

Computes optimal cutpoints for diagnostic tests or continuous markers. Various approaches for selecting optimal cutoffs have been implemented, including methods based on cost-benefit analysis and diagnostic test accuracy measures (Sensitivity/Specificity, Predictive Values and Diagnostic Likelihood Ratios). Numerical and graphical output for all methods is easily obtained.

Version: 1.1-5
Imports: stats, graphics
Published: 2021-10-07
DOI: 10.32614/CRAN.package.OptimalCutpoints
Author: Monica Lopez-Raton, Maria Xose Rodriguez-Alvarez
Maintainer: Monica Lopez Raton <monica.lopez.raton at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Citation: OptimalCutpoints citation info
Materials: NEWS
CRAN checks: OptimalCutpoints results

Documentation:

Reference manual: OptimalCutpoints.pdf

Downloads:

Package source: OptimalCutpoints_1.1-5.tar.gz
Windows binaries: r-devel: OptimalCutpoints_1.1-5.zip, r-release: OptimalCutpoints_1.1-5.zip, r-oldrel: OptimalCutpoints_1.1-5.zip
macOS binaries: r-release (arm64): OptimalCutpoints_1.1-5.tgz, r-oldrel (arm64): OptimalCutpoints_1.1-5.tgz, r-release (x86_64): OptimalCutpoints_1.1-5.tgz, r-oldrel (x86_64): OptimalCutpoints_1.1-5.tgz
Old sources: OptimalCutpoints archive

Reverse dependencies:

Reverse imports: dtComb

Linking:

Please use the canonical form https://CRAN.R-project.org/package=OptimalCutpoints to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.