mwu.test

Performs the Mann-Whitney U test with a normal approximation.

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

ROCket

Simple and Fast ROC Curves

mwu.test function

<dl><dt>prep</dt>
<dd>A <code>rkt_prep</code> object.</dd>
<dt>alternative</dt>
<dd>The alternative hypothesis type. One of: "two.sided", "less", "greater".</dd>
<dt>correct</dt>
<dd>Logical. Whether to apply continuity correction.</dd></dl>

Arguments

Mann-Whitney U test — mwu.test

<dl>

<dt>prep</dt>
<dd>A <code>rkt_prep</code> object.</dd>


<dt>alternative</dt>
<dd>The alternative hypothesis type. One of: "two.sided", "less", "greater".</dd>


<dt>correct</dt>
<dd>Logical. Whether to apply continuity correction.</dd>

</dl>

mwu.test: Mann-Whitney U test

Description

Usage

Value

Arguments