getModel

Convert the single-letter representation used in the "forecastHybrid" package to the
corresponding model function from the "forecast" package

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

getModel function

<dl><dt>modelCharacter</dt>
<dd>a single character representing one of the models from the <code>models</code>
argument passed to hybridModel</dd></dl>

Arguments

Return a forecast model function for a given model character — getModel

<dl>

<dt>modelCharacter</dt>
<dd>a single character representing one of the models from the <code>models</code>
argument passed to hybridModel</dd>

</dl>

getModel: Return a forecast model function for a given model character

Description

Usage

Arguments

See Also

Examples