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README.md
In trinROC: Statistical Tests for Assessing Trinormal ROC Data
trinROC
This package helps to assess three-class Receiver Operating Characteristic (ROC) type data. It provides 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.
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trinROC documentation built on Oct. 29, 2022, 1:12 a.m.
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trinROC
This package helps to assess three-class Receiver Operating Characteristic (ROC) type data. It provides 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.
Try the trinROC package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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