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.
Version: 0.7 Depends: R (≥ 3.3.0) Imports: ggplot2, rgl, gridExtra Suggests: testthat, knitr, rmarkdown, MASS, reshape Published: 2024-10-04 DOI: 10.32614/CRAN.package.trinROC Author: Samuel Noll [aut], Reinhard Furrer [aut, cre], Benjamin Reiser [ctb], Christos T. Nakas [ctb], Annina Cincera [aut] Maintainer: Reinhard Furrer <reinhard.furrer at uzh.ch> BugReports: https://git.math.uzh.ch/reinhard.furrer/trinROC/-/issues License: LGPL-2.1 URL: https://www.math.uzh.ch/pages/trinROC/ NeedsCompilation: no Citation: trinROC citation info Materials: README NEWS CRAN checks: trinROC results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=trinROC to link to this page.
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