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forecastHybrid

Convenient Functions for Ensemble Time Series Forecasts

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.

Versions across snapshots

VersionRepositoryFileSize
5.1.21 rolling source/ R- forecastHybrid_5.1.21.tar.gz 635.3 KiB
5.1.21 latest source/ R- forecastHybrid_5.1.21.tar.gz 635.3 KiB
5.1.21 2026-04-23 source/ R- forecastHybrid_5.1.21.tar.gz 635.3 KiB
5.1.21 2026-04-09 windows/windows R-4.5 forecastHybrid_5.1.21.zip 731.9 KiB

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