ThresholdROC: Optimum Threshold Estimation

Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012) <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.

Version: 2.9.5
Depends: R (≥ 3.1)
Imports: MASS, numDeriv, pROC, ks
Published: 2025年08月21日
Author: Sara Perez-Jaume [aut, cre], Natalia Pallares [aut], Konstantina Skaltsa [aut]
Maintainer: Sara Perez-Jaume <spjaume at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ThresholdROC results

Documentation:

Reference manual: ThresholdROC.html , ThresholdROC.pdf

Downloads:

Windows binaries: r-devel: ThresholdROC_2.9.5.zip, r-release: ThresholdROC_2.9.5.zip, r-oldrel: ThresholdROC_2.9.5.zip
macOS binaries: r-release (arm64): ThresholdROC_2.9.5.tgz, r-oldrel (arm64): ThresholdROC_2.9.5.tgz, r-release (x86_64): ThresholdROC_2.9.5.tgz, r-oldrel (x86_64): ThresholdROC_2.9.5.tgz

Reverse dependencies:

Reverse imports: EQUALSTATS, ThresholdROCsurvival

Linking:

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