plot_discrimination

Visualise the discrimination ability of binary forecasts by plotting the
distribution of predicted probabilities, stratified by the observed outcome.
A well-discriminating model will show clearly separated distributions for
the two observed levels.

Facilitate the evaluation of forecasts in a convenient
framework based on data.table. It allows user to to check their forecasts
and diagnose issues, to visualise forecasts and missing data, to transform
data before scoring, to handle missing forecasts, to aggregate scores, and
to visualise the results of the evaluation. The package mostly focuses on
the evaluation of probabilistic forecasts and allows evaluating several
different forecast types and input formats. Find more information about the
package in the Vignettes as well as in the accompanying paper,
<doi:10.48550/arXiv.2205.07090>.

Nikos Bosse

scoringutils

Utilities for Scoring and Assessing Predictions

Sam Abbott

Hugo Gruson

Johannes Bracher

Toshiaki Asakura 

James Mba Azam

Sebastian Funk

Michael Chirico

plot_discrimination function

<dl><dt>forecast</dt>
<dd>A <code>forecast_binary</code> object (see <code>as_forecast_binary()</code>).</dd>
<dt>type</dt>
<dd>Character, either <code>"histogram"</code> (default) or <code>"density"</code>.
<code>"histogram"</code> shows a histogram with proportions on the y-axis;
<code>"density"</code> shows kernel density curves.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code><a href="https://ggplot2.tidyverse.org/reference/geom_histogram.html">ggplot2::geom_histogram()</a></code> or
<code><a href="https://ggplot2.tidyverse.org/reference/geom_density.html">ggplot2::geom_density()</a></code>, depending on <code>type</code>. For example, <code>bins</code> or
<code>binwidth</code> for histograms, or <code>bw</code> and <code>adjust</code> for density plots.</dd></dl>

Arguments

Plot discrimination for binary forecasts — plot_discrimination

<dl>

<dt>forecast</dt>
<dd>A <code>forecast_binary</code> object (see <code>as_forecast_binary()</code>).</dd>


<dt>type</dt>
<dd>Character, either <code>"histogram"</code> (default) or <code>"density"</code>.
<code>"histogram"</code> shows a histogram with proportions on the y-axis;
<code>"density"</code> shows kernel density curves.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code><a href='https://ggplot2.tidyverse.org/reference/geom_histogram.html'>ggplot2::geom_histogram()</a></code> or
<code><a href='https://ggplot2.tidyverse.org/reference/geom_density.html'>ggplot2::geom_density()</a></code>, depending on <code>type</code>. For example, <code>bins</code> or
<code>binwidth</code> for histograms, or <code>bw</code> and <code>adjust</code> for density plots.</dd>

</dl>

plot_discrimination: Plot discrimination for binary forecasts

Description

Usage

Value

Arguments

Examples