Package: forecastHybrid
Title: Convenient Functions for Ensemble Time Series Forecasts
Version: 5.1.21
Date: 2026-01-14
Authors@R: c(
   person("David", "Shaub", email = "davidshaub@alumni.harvard.edu", role = c("aut", "cre")),
   person("Peter", "Ellis", email = "peter.ellis2013nz@gmail.com", role = c("aut"))
   )
Description: 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.
Depends: R (>= 4.0.4), forecast (>= 8.16), thief
Imports: doParallel (>= 1.0.16), foreach (>= 1.5.1), ggplot2 (>=
        3.3.6), purrr (>= 0.3.5), zoo (>= 1.8)
Suggests: GMDH, knitr, rmarkdown, roxygen2, testthat
VignetteBuilder: knitr
License: GPL-3
URL: https://gitlab.com/dashaub/forecastHybrid,
        https://github.com/ellisp/forecastHybrid
BugReports: https://github.com/ellisp/forecastHybrid/issues
RoxygenNote: 7.3.3
ByteCompile: true
NeedsCompilation: no
Encoding: UTF-8
Repository: https://ellisp.r-universe.dev
Date/Publication: 2026-04-05 17:10:34 UTC
RemoteUrl: https://github.com/ellisp/forecasthybrid
RemoteRef: HEAD
RemoteSha: 471266726a31f5173e60ac92a54f18b430ffe45c
RemoteSubdir: pkg
Packaged: 2026-07-05 10:08:08 UTC; root
Author: David Shaub [aut, cre],
  Peter Ellis [aut]
Maintainer: David Shaub <davidshaub@alumni.harvard.edu>