addRates

[<code><a rd-options="" href="/link/RBPObj?package=RBPcurve&version=1.2" data-mini-rdoc="RBPcurve::RBPObj">RBPObj</a></code>]
Data container for RBP curve.

[<code>logical(1)</code>]
Whether the values of the corresponding measure should be added to the plot?
Default is <code>FALSE</code>.

plot.values

[<code>numeric(1)</code>]
Indicates the number of decimal places for the values that are plotted when 
<code>plot.values = TRUE</code>.
Default is <code>3L</code>.

digits

[<code>character(1)</code> | <code>numeric(1)</code>]
A specification for the plotting color.

[<code>numeric(1)</code>]
Threshold that is used to compute the true positve and false positive rate.
Default is prevalence.

thresh

[<code>character(1)</code>]
The label for the threshold that is plotted when <code>plot.values = TRUE</code>.

thresh.label

For a given threshold <code>tresh</code>, the true positive rate (TPR) 
and the false positive rate (FPR) can be visually assessed by the RBP curve 
by the intersection of the RBP curve with the horizontal lines at 
<code>-thresh</code> and <code>1 - thresh</code>, respectively.

The RBP curve is a visual tool to assess the
performance of prediction models.

Giuseppe Casalicchio

RBPcurve

The Residual-Based Predictiveness Curve

addRates function

[<code><a rd-options='' href='RBPObj'>RBPObj</a></code>]
Data container for RBP curve.

addRates: Visualizes the TPR and FPR on the RBP curve.

Description

Usage

Arguments

Value