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:
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