The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| Reference manual: | ForecastingEnsembles.pdf |
| Vignettes: |
ForecastingEnsembles-vignette (source) |
| Package source: | ForecastingEnsembles_0.5.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: ForecastingEnsembles_0.5.0.zip, r-oldrel: ForecastingEnsembles_0.5.0.zip |
| macOS binaries: | r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Please use the canonical form https://CRAN.R-project.org/package=ForecastingEnsembles to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.