Statistical Tests for Assessing Trinormal ROC Data R package trinROC version 0.7 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. See also "ROC Analysis for Classification and Prediction in Practice" by Nakas, Bantis and Gatsonis (2023), ISBN 9781482233704. Software Depends: R (>= 3.3.0) Imports: ggplot2, rgl, gridExtra Suggests: testthat, knitr, rmarkdown, MASS, reshape Reinhard Furrer <reinhard.furrer@uzh.ch> Comprehensive R Archive Network (CRAN) Samuel Noll [aut], Reinhard Furrer [aut, cre] (ORCID: <https://orcid.org/0000-0002-6319-2332>), Benjamin Reiser [ctb], Christos T. Nakas [ctb], Annina Cincera [aut] LGPL-2.1 2024-10-04 application/tgz https://CRAN.R-project.org/package=trinROC doi:10.32614/CRAN.package.trinROC