plotModelObjects

Plot a representation of the hybridModel.

Convenient functions for ensemble forecasts in R combining
approaches from the 'forecast' package. Forecasts generated from auto.arima(), ets(),
thetaf(), nnetar(), stlm(), tbats(), snaive() and arfima() can be combined with equal weights, weights
based on in-sample errors (introduced by Bates & Granger (1969) <doi:10.1057/jors.1969.103>),
or cross-validated weights. Cross validation for time series data with user-supplied models
and forecasting functions is also supported to evaluate model accuracy.

David Shaub

forecastHybrid

Convenient Functions for Ensemble Time Series Forecasts

Peter Ellis

plotModelObjects function

<dl><dt>x</dt>
<dd>an object of class hybridModel to plot.</dd>
<dt>ggplot</dt>
<dd>should the <code>autoplot</code> function be used (when available)
for the plots?</dd>
<dt>...</dt>
<dd>other arguments passed to <a href="/link/plot?package=forecastHybrid&version=5.1.20" data-mini-rdoc="forecastHybrid::plot">plot</a>.</dd></dl>

Arguments

Plot the component models of a hybridModel object — plotModelObjects

<dl>

<dt>x</dt>
<dd>an object of class hybridModel to plot.</dd>


<dt>ggplot</dt>
<dd>should the <code>autoplot</code> function be used (when available)
for the plots?</dd>


<dt>...</dt>
<dd>other arguments passed to <a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a>.</dd>

</dl>

plotModelObjects: Plot the component models of a hybridModel object

Description

Usage

Arguments