forecastHybrid: Convenient Functions for Ensemble Time Series Forecasts
Version 0.4.1

Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. Forecasts generated from auto.arima(), ets(), thetam(), nnetar(), stlm(), and tbats() can be combined with equal weights, weights based on in-sample errors, or CV weights. Cross validation for time series data and user-supplied models and forecasting functions is also supported to evaluate model accuracy.

Package details

AuthorDavid Shaub [aut, cre], Peter Ellis [aut]
Date of publication2017-06-18 17:49:03 UTC
MaintainerDavid Shaub <davidshaub@gmx.com>
LicenseGPL-3
Version0.4.1
URL https://github.com/ellisp/forecastHybrid
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("forecastHybrid")

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forecastHybrid documentation built on June 20, 2017, 9:11 a.m.