show_methods

<p>Show the implemented ROC estimation methods.</p>

A set of functions for receiver operating characteristic (ROC) curve
estimation and area under the curve (AUC) calculation.
All functions are designed to work with aggregated data;
nevertheless, they can also handle raw samples.
In 'ROCket', we distinguish two types of ROC curve representations:
1) parametric curves - the true positive rate (TPR) and the false positive rate (FPR)
are functions of a parameter (the score),
2) functions - TPR is a function of FPR.
There are several ROC curve estimation methods available. An introduction to
the mathematical background of the implemented methods (and much more) can be found in
de Zea Bermudez, Gonçalves, Oliveira & Subtil (2014) and Cai & Pepe (2004).

Daniel Lazar

show_methods: Available ROC estimation methods

Description

Usage

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