plot,combine_distcompare-method

Plot 'combine.distcompare' Objects

internal

Performs Wasserstein projections from the predictive distributions of any model into the space of predictive distributions of linear models. We utilize L1 penalties to also reduce the complexity of the model space. This package employs the methods as described in Dunipace, Eric and Lorenzo Trippa (2020) <doi:10.48550/arXiv.2012.09999>.

Eric Dunipace

WpProj

Linear p-Wasserstein Projections

Clemens Schmid

Espen Bernton

Mathieu Gerber

Pierre Jacob

Bin Dai

Jared Huling

Yixuan Qiu

Dominic Schuhmacher

Nicolas Bonneel

plot,combine_distcompare-method function

<dl><dt>x</dt>
<dd><code>combine.distcompare</code> objects resulting from the <code>combine.distcompare()</code> function</dd>
<dt>ylim</dt>
<dd>y-axis limits</dd>
<dt>ylabs</dt>
<dd>y-axis labels</dd>
<dt>facet.group</dt>
<dd>groups to facet by</dd>
<dt>...</dt>
<dd>additional plotting parameters like alpha</dd></dl>

Arguments

Plot 'combine.distcompare' Objects — plot,combine_distcompare-method

<dl>

<dt>x</dt>
<dd><code>combine.distcompare</code> objects resulting from the <code>combine.distcompare()</code> function</dd>


<dt>ylim</dt>
<dd>y-axis limits</dd>


<dt>ylabs</dt>
<dd>y-axis labels</dd>


<dt>facet.group</dt>
<dd>groups to facet by</dd>


<dt>...</dt>
<dd>additional plotting parameters like alpha</dd>

</dl>

Plot 'combine.distcompare' Objects

plot,combine_distcompare-method: Plot 'combine.distcompare' Objects

Description

Usage

Value

Arguments