fable
Forecasting Models for Tidy Time Series
Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.
- Version0.4.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-GB
- Last release11/05/2024
Documentation
Team
Mitchell O'Hara-Wild
Rob Hyndman
Show author detailsRolesAuthorChristoph Bergmeir
Show author detailsRolesContributorEaro Wang
Show author detailsRolesAuthorTim-Gunnar Hensel
Show author detailsRolesContributorTimothy Hyndman
Show author detailsRolesContributorGabriel Caceres
Show author detailsRolesContributor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports7 packages
- Suggests10 packages
- Linking To1 package
- Reverse Depends1 package
- Reverse Imports5 packages
- Reverse Suggests3 packages