rkt_prep

print.rkt_prep

plot.rkt_prep

Calculate the ROC points for all meaningful cutoff values based on predicted scores.

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

rkt_prep function

<dl><dt>scores</dt>
<dd>Numeric vector containing the predicted scores.</dd>
<dt>positives</dt>
<dd>Numeric vector of the same length as <code>scores</code>. 
The number of positive entities associated with each score. 
If data is not aggregated, a vector of 0's and 1's.</dd>
<dt>negatives</dt>
<dd>Similar to <code>positives</code>. Defaults to <code>totals - positives</code>.</dd>
<dt>totals</dt>
<dd>How many times each score was predicted. Defaults to 1 (assuming data is not aggregated). 
If any value in <code>positives</code> is greater than 1 (aggregated data), <code>totals</code> must be a vector.
Not needed if <code>negatives</code> is supplied.</dd>
<dt>x</dt>
<dd>An environment of class <code>rkt_prep</code> for S3 methods.</dd>
<dt>...</dt>
<dd>Further parameters.</dd></dl>

Arguments

ROC points — rkt_prep

<dl>

<dt>scores</dt>
<dd>Numeric vector containing the predicted scores.</dd>


<dt>positives</dt>
<dd>Numeric vector of the same length as <code>scores</code>. 
The number of positive entities associated with each score. 
If data is not aggregated, a vector of 0's and 1's.</dd>


<dt>negatives</dt>
<dd>Similar to <code>positives</code>. Defaults to <code>totals - positives</code>.</dd>


<dt>totals</dt>
<dd>How many times each score was predicted. Defaults to 1 (assuming data is not aggregated). 
If any value in <code>positives</code> is greater than 1 (aggregated data), <code>totals</code> must be a vector.
Not needed if <code>negatives</code> is supplied.</dd>


<dt>x</dt>
<dd>An environment of class <code>rkt_prep</code> for S3 methods.</dd>


<dt>...</dt>
<dd>Further parameters.</dd>

</dl>

rkt_prep: ROC points

Description

Usage

Value

Arguments

Details

Examples