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: 0.3
Depends: R (≥ 3.3.0)
Imports: ggplot2, rgl, gridExtra
Suggests: testthat, knitr, rmarkdown, MASS, reshape
Published: 2019-05-28
Author: Samuel Noll [aut], Reinhard Furrer [ctb, cre], Benjamin Reiser [ctb], Christos T. Nakas [ctb]
Maintainer: Reinhard Furrer <reinhard.furrer at>
License: LGPL-2.1
NeedsCompilation: no
CRAN checks: trinROC results


Reference manual: trinROC.pdf
Vignettes: trinROC_vignette
Package source: trinROC_0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: trinROC_0.3.tgz, r-oldrel: trinROC_0.3.tgz
Old sources: trinROC archive


Please use the canonical form to link to this page.