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: 0.4
Depends: R (≥ 3.3.0)
Imports: ggplot2, rgl, gridExtra
Suggests: testthat, knitr, rmarkdown, MASS, reshape
Published: 2019-12-05
Author: Samuel Noll [aut], Reinhard Furrer [ctb, cre], Benjamin Reiser [ctb], Christos T. Nakas [ctb]
Maintainer: Reinhard Furrer <reinhard.furrer at math.uzh.ch>
License: LGPL-2.1
URL: https://git.math.uzh.ch/reinhard.furrer/trinROC
NeedsCompilation: no
Materials: NEWS
CRAN checks: trinROC results

Downloads:

Reference manual: trinROC.pdf
Vignettes: trinROC_vignette
Package source: trinROC_0.4.tar.gz
Windows binaries: r-devel: trinROC_0.4.zip, r-devel-gcc8: trinROC_0.4.zip, r-release: trinROC_0.4.zip, r-oldrel: trinROC_0.4.zip
OS X binaries: r-release: trinROC_0.4.tgz, r-oldrel: trinROC_0.4.tgz
Old sources: trinROC archive

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