trinROC: Statistical Tests for Assessing Trinormal ROC Data

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.

Version: 0.6
Depends: R (≥ 3.3.0)
Imports: ggplot2, rgl, gridExtra
Suggests: testthat, knitr, rmarkdown, MASS, reshape
Published: 2022-10-27
DOI: 10.32614/CRAN.package.trinROC
Author: Samuel Noll [aut], Reinhard Furrer [aut], Benjamin Reiser [ctb], Christos T. Nakas [ctb], Annina Cincera [cre, aut]
Maintainer: Annina Cincera <annina.cincera at>
License: LGPL-2.1
NeedsCompilation: no
Citation: trinROC citation info
Materials: README NEWS
CRAN checks: trinROC results


Reference manual: trinROC.pdf
Vignettes: trinROC_vignette


Package source: trinROC_0.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): trinROC_0.6.tgz, r-oldrel (arm64): trinROC_0.6.tgz, r-release (x86_64): trinROC_0.6.tgz, r-oldrel (x86_64): trinROC_0.6.tgz
Old sources: trinROC archive


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