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trinROC

This package helps to assess three-class Receiver Operating Characteristic (ROC) type data. It provides several statistical test functions as well as a function for exploratory data analysis to investigate classifiers allocating individuals to one of three disjoint and ordered classes. In a single classifier assessment the discriminatory power is compared to classification by chance. In a comparison of two classifiers the null hypothesis corresponds to equal discriminatory power of the two classifiers.

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Version

Install

install.packages('trinROC')

Monthly Downloads

143

Version

0.6

License

LGPL-2.1

Maintainer

Annina Cincera

Last Published

October 27th, 2022

Functions in trinROC (0.6)

findmu

Determine equidistant means of trinormal ROC data simulation
roc.eda

Exploratory data analysis for a three-class ROC marker
roc3.test

Statistical test function for computing multiple tests on three-class ROC data
emp.vus

Empirical VUS calculation
trinVUS.test

Trinormal VUS test
trinROC-package

trinROC: Statistical Tests for Assessing Trinormal ROC Data
trinROC.test

Trinormal based ROC test
rocsurf.trin

Trinormal ROC surface plot
rocsurf.emp

Empirical ROC surface plot
cancer

Synthetic data set to investigate three-class ROC data.
boot.test

Bootstrap test for three-class ROC data
boxcoxROC

Box-Cox transformation on three-class ROC data
krebs

Synthetic small data set to investigate three-class ROC data.