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: |
0.5.1 |
Depends: |
R (≥ 3.3.0) |
Imports: |
ggplot2, rgl, gridExtra |
Suggests: |
testthat, knitr, rmarkdown, MASS, reshape |
Published: |
2021-06-29 |
Author: |
Samuel Noll [aut],
Reinhard Furrer [cre, aut],
Benjamin Reiser [ctb],
Christos T. Nakas [ctb] |
Maintainer: |
Reinhard Furrer <reinhard.furrer at math.uzh.ch> |
BugReports: |
https://git.math.uzh.ch/reinhard.furrer/trinROC/-/issues |
License: |
LGPL-2.1 |
URL: |
https://git.math.uzh.ch/reinhard.furrer/trinROC |
NeedsCompilation: |
no |
Citation: |
trinROC citation info |
Materials: |
NEWS |
CRAN checks: |
trinROC results |
Documentation:
Downloads:
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