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(), nnetar(), stlm(), and tbats() can be combined with equal weights or weights based on in-sample errors. Future methods such as cross validation are planned.

Version: 0.2.0
Depends: R (≥ 3.1.1), forecast (≥ 7.1)
Suggests: knitr, rmarkdown, testthat
Published: 2016-09-23
Author: David Shaub [aut, cre], Peter Ellis [ctb]
Maintainer: David Shaub <davidshaub at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
In views: TimeSeries
CRAN checks: forecastHybrid results


Reference manual: forecastHybrid.pdf
Vignettes: Using the "forecastHybrid" package
Package source: forecastHybrid_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: forecastHybrid_0.2.0.tgz, r-oldrel: forecastHybrid_0.2.0.tgz
Old sources: forecastHybrid archive


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