print.hybridModel

Print information about the <code>hybridModel</code> object.

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

print.hybridModel function

<dl><dt>x</dt>
<dd>the input <code>hybridModel</code> object.</dd>
<dt>...</dt>
<dd>other arguments (ignored).</dd></dl>

Arguments

Print information about the hybridModel object — print.hybridModel

<dl>

<dt>x</dt>
<dd>the input <code>hybridModel</code> object.</dd>


<dt>...</dt>
<dd>other arguments (ignored).</dd>

</dl>

print.hybridModel: Print information about the hybridModel object

Description

Usage

Arguments

Details