trinROC (0.3)

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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.

Maintainer: Reinhard Furrer
Author(s): Samuel Noll [aut], Reinhard Furrer [ctb, cre], Benjamin Reiser [ctb], Christos T. Nakas [ctb]

License: LGPL-2.1

Uses: ggplot2, gridExtra, rgl, reshape, MASS, testthat, knitr, rmarkdown

Released 21 days ago.

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