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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.
See also “ROC Analysis for Classification and Prediction in Practice” by
Nakas, Bantis and Gatsonis (2023), ISBN 9781482233704.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.