plot_correlations

Plots a heatmap of correlations between different metrics.

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_correlations function

<dl><dt>correlations</dt>
<dd>A data.table of correlations between scores as produced
by <code>get_correlations()</code>.</dd>
<dt>digits</dt>
<dd>A number indicating how many decimal places the correlations
should be rounded to. By default (<code>digits = NULL</code>) no rounding takes place.</dd></dl>

Arguments

Plot correlation between metrics — plot_correlations

<dl>

<dt>correlations</dt>
<dd>A data.table of correlations between scores as produced
by <code>get_correlations()</code>.</dd>


<dt>digits</dt>
<dd>A number indicating how many decimal places the correlations
should be rounded to. By default (<code>digits = NULL</code>) no rounding takes place.</dd>

</dl>

plot_correlations: Plot correlation between metrics

Description

Usage

Value

Arguments

Examples