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 version≥ 3.4.0
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-GB
- Last release11/05/2024
Documentation
Team
Mitchell O'Hara-Wild
Rob Hyndman
Show author detailsRolesAuthorEaro Wang
Show author detailsRolesAuthorGabriel Caceres
Show author detailsRolesContributorChristoph Bergmeir
Tim-Gunnar Hensel
Show author detailsRolesContributorTimothy Hyndman
Show author detailsRolesContributor
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- Depends2 packages
- Imports8 packages
- Suggests10 packages
- Linking To1 package
- Reverse Depends1 package
- Reverse Imports5 packages
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