summary.hybridModel

<p>the input <code>hybridModel</code> object.</p>

<p>Print a summary of the hybridModel object</p>

Convenient functions for ensemble forecasts in R combining
approaches from the 'forecast' package. Forecasts generated from auto.arima(), ets(),
thetaf(), nnetar(), stlm(), tbats(), and snaive() 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

summary.hybridModel: Print a summary of the hybridModel object

Description

Usage

Arguments

Details