Runs multiple individual time series models, and combines them into an ensembles of time series models. This is mainly used to predict the results of the monthly labor market report from the United States Bureau of Labor Statistics for virtually any part of the economy reported by the Bureau of Labor Statistics, but it can be easily modified to work with other types of time series data. For example, the package was used to predict the winning men's and women's time for the 2024 London Marathon.
Version: 0.5.0 Depends: doParallel, dplyr, fable, fabletools, fable.prophet, feasts, fracdiff, ggplot2, gt, magrittr, parallel, readr, stats, tibble, tidyr, tsibble, urca, utils, R (≥ 2.10) Suggests: knitr, rmarkdown Published: 2025-04-01 DOI: 10.32614/CRAN.package.ForecastingEnsembles Author: Russ Conte [aut, cre, cph] Maintainer: Russ Conte <russconte at mac.com> BugReports: https://github.com/InfiniteCuriosity/ForecastingEnsembles/issues License: MIT + file LICENSE URL: https://github.com/InfiniteCuriosity/ForecastingEnsembles NeedsCompilation: no Materials: README NEWS CRAN checks: ForecastingEnsembles results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ForecastingEnsembles to link to this page.
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