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
MaintainerShow author detailsRob Hyndman
Christoph Bergmeir
Show author detailsRolesContributorEaro Wang
Tim-Gunnar Hensel
Show author detailsRolesContributorTimothy Hyndman
Show author detailsRolesContributorGabriel Caceres
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 16,825 times in the last 30 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 701 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 227,297 times in the last 365 days. This is the kind of download count that makes grant committees nod approvingly. A job well done, even the stoic reviewers might be impressed! The day with the most downloads was Apr 18, 2024 with 1,256 downloads.
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