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: 0.3.0
Depends: R (≥ 3.1.1), ggplot2 (≥ 2.2.0), forecast (≥ 7.3)
Imports: reshape2 (≥ 1.4.2)
Suggests: knitr, rmarkdown, testthat
Published: 2016-12-19
Author: David Shaub [aut, cre], Peter Ellis [aut]
Maintainer: David Shaub <davidshaub at gmx.com>
BugReports: https://github.com/ellisp/forecastHybrid/issues
License: GPL-3
URL: https://github.com/ellisp/forecastHybrid
NeedsCompilation: no
Materials: NEWS
In views: TimeSeries
CRAN checks: forecastHybrid results

Downloads:

Reference manual: forecastHybrid.pdf
Vignettes: Using the "forecastHybrid" package
Package source: forecastHybrid_0.3.0.tar.gz
Windows binaries: r-devel: forecastHybrid_0.3.0.zip, r-release: forecastHybrid_0.3.0.zip, r-oldrel: forecastHybrid_0.3.0.zip
OS X Mavericks binaries: r-release: forecastHybrid_0.3.0.tgz, r-oldrel: forecastHybrid_0.3.0.tgz
Old sources: forecastHybrid archive

Reverse dependencies:

Reverse imports: mafs

Linking:

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