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pROC: an open-source package for R and S+ to analyze and compare ROC curves

BMC Bioinformatics · 2011 · Vol. 12(1) · pp. 77–77
Xavier RobinNatacha TurckAlexandre HainardNatalia TibertiFrédérique LisacekJean-Charles SanchezMarkus Müller

Abstract

pROC is a package for R and S+ specifically dedicated to ROC analysis. It proposes multiple statistical tests to compare ROC curves, and in particular partial areas under the curve, allowing proper ROC interpretation. pROC is available in two versions: in the R programming language or with a graphical user interface in the S+ statistical software. It is accessible at http://expasy.org/tools/pROC/ under the GNU General Public License. It is also distributed through the CRAN and CSAN public repositories, facilitating its installation.

Imbalanced Data Classification TechniquesClinical Laboratory Practices and Quality ControlReliability and Agreement in MeasurementReceiver operating characteristicComputer scienceGraphical user interfaceSoftwareR packageData miningSmoothingInterface (matter)CutoffMachine learning

MeSH terms

Data Interpretation, StatisticalHumansProgramming LanguagesROC CurveSoftwareBiomarkersConfidence IntervalsComputational Biology
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