plot_ranks

Plot the Rankings of the '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) <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_ranks function

<dl><dt>distances</dt>
<dd>A <code>combine.distcompare</code> object 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>...</dt>
<dd>additional plot arguments like alpha parameter in ggplot2</dd></dl>

Arguments

Plot the Rankings of the 'combine.distcompare' Objects — plot_ranks

<dl>

<dt>distances</dt>
<dd>A <code>combine.distcompare</code> object 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>...</dt>
<dd>additional plot arguments like alpha parameter in ggplot2</dd>

</dl>

Plot the Rankings of the 'combine.distcompare' Objects

plot_ranks: Plot the Rankings of the 'combine.distcompare' Objects

Description

Usage

Value

Arguments