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ellisp / forecastHybrid

Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package
GNU General Public License v3.0
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Additional models #14

Closed dashaub closed 4 years ago

dashaub commented 8 years ago

We should consider handling additional models. If we implement issue #11 this will need to be considered. Furthermore, once this package is stable I'd like to work on and include arar/ararma models (see https://github.com/robjhyndman/forecast/issues/8)

bats() models might be an addition. Since they are quite similar to tbats() it may not be worth inclusion, but they can provide better fits with default settings in some causes (e.g. compare bats(taylor) to tbats(taylor)).

ellisp commented 8 years ago

Cross reference #50 and #51 for two other possibilities.