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
Author:	Samuel Noll [aut], Reinhard Furrer [aut], Benjamin Reiser [ctb], Christos T. Nakas [ctb], Annina Cincera [cre, aut]
Maintainer:	Annina Cincera <annina.cincera at math.uzh.ch>
BugReports:	https://git.math.uzh.ch/reinhard.furrer/trinROC/-/issues
License:	LGPL-2.1
URL:	https://math.uzh.ch/pages/trinROC/
NeedsCompilation:	no
Citation:	trinROC citation info
Materials:	README NEWS
CRAN checks:	trinROC results

Documentation:

Reference manual:	trinROC.pdf
Vignettes:	trinROC_vignette

Downloads:

Package source:	trinROC_0.6.tar.gz
Windows binaries:	r-devel: trinROC_0.6.zip, r-release: trinROC_0.6.zip, r-oldrel: trinROC_0.6.zip
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

Linking:

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