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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.
Getting started
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Package details |
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| Author | Samuel Noll [aut], Reinhard Furrer [cre, aut], Benjamin Reiser [ctb], Christos T. Nakas [ctb] |
| Maintainer | Reinhard Furrer <reinhard.furrer@math.uzh.ch> |
| License | LGPL-2.1 |
| Version | 0.5.1 |
| URL | https://git.math.uzh.ch/reinhard.furrer/trinROC |
| Package repository | View on CRAN |
| Installation |
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