Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Sara Perez-Jaume, Konstantina Skaltsa, Natàlia Pallarès, Josep L. Carrasco
Title: ThresholdROC: Optimum Threshold Estimation Tools for Continuous Diagnostic Tests in R
Abstract: We introduce an R package that estimates decision thresholds in diagnostic settings with a continuous marker and two or three underlying states. The package implements parametric and non-parametric estimation methods based on minimizing an overall cost function, as well as confidence interval estimation approaches to account for the sampling variability of the cut-off. Further features of the package include sample size determination and estimation of diagnostic accuracy measures. We used randomly generated data and two real datasets to illustrate the capabilities and characteristics of the package.

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Paper: ThresholdROC: Optimum Threshold Estimation Tools for Continuous Diagnostic Tests in R     Download PDF (Downloads: 2800)
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ThresholdROC_2.6.tar.gz: R source package Download (Downloads: 105; 35KB)
v82i04.R: R replication code Download (Downloads: 146; 4KB)
DOI: 10.18637/jss.v082.i04

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.