MEAN

report.model_mean

<p><code>MEAN()</code> returns an iid model applied to the formula's response variable.</p>

Provides a collection of commonly used univariate and multivariate
time series forecasting models including automatically selected exponential
smoothing (ETS) and autoregressive integrated moving average (ARIMA) models.
These models work within the 'fable' framework provided by the 'fabletools'
package, which provides the tools to evaluate, visualise, and combine models
in a workflow consistent with the tidyverse.

Mitchell O'Hara-Wild

fable

Forecasting Models for Tidy Time Series

Rob Hyndman

Earo Wang

Gabriel Caceres

Christoph Bergmeir

Tim-Gunnar Hensel

Timothy Hyndman

MEAN function

<dl><p></p><p><dt>formula</dt>
<dd><p>Model specification.</p></dd></p><p>
<dt>...</dt>
<dd><p>Not used.</p></dd></p><p></p></dl>

Arguments

<p></p><p>
<div class="section" id="window">
<h3>window</h3>
<p>The <code>window</code> special is used to specify a rolling window for the mean.</p><pre><code>
window(size = NULL)
</code></pre></div></p><p><table class="table">
<tr><td><code>size</code></td><td>The size (number of observations) for the rolling window. If NULL (default), a rolling window will not be used.</td></tr>
</table></p><p>

</p>

Specials

Mean models — MEAN

<dl>

<dt>formula</dt>
<dd><p>Model specification.</p></dd>


<dt>...</dt>
<dd><p>Not used.</p></dd>

</dl>




<div class='section' id='window'>
<h3>window</h3>
<p>The <code>window</code> special is used to specify a rolling window for the mean.</p><pre><code>
window(size = NULL)
</code></pre>

<table class='table'>
<tr><td><code>size</code></td><td>The size (number of observations) for the rolling window. If NULL (default), a rolling window will not be used.</td></tr>
</table>


</div>


MEAN: Mean models

Description

Usage

Value

Arguments

Specials

window

See Also

Examples