fable

fable-package

<img src="figures/logo.png?package=fable&version=0.4.0" style="float: right" alt="logo" width="120">
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.

internal

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.

Mitchell O'Hara-Wild

Forecasting Models for Tidy Time Series

Rob Hyndman

Earo Wang

Gabriel Caceres

Christoph Bergmeir

Tim-Gunnar Hensel

Timothy Hyndman

fable-package function

Maintainer: Mitchell O'Hara-Wild <a href="/link/mail%40mitchelloharawild.com?package=fable&version=0.4.0" data-mini-rdoc="fable::mail@mitchelloharawild.com">mail@mitchelloharawild.com</a>
Authors:<ul>
<li>Rob Hyndman</li>
<li>Earo Wang</li>
</ul>Other contributors:<ul>
<li>Gabriel Caceres (NNETAR implementation) [contributor]</li>
<li>Christoph Bergmeir (<a href="https://orcid.org/0000-0002-3665-9021">ORCID</a>) [contributor]</li>
<li>Tim-Gunnar Hensel [contributor]</li>
<li>Timothy Hyndman [contributor]</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
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.

fable: Forecasting Models for Tidy Time Series — fable-package

Maintainer: Mitchell O'Hara-Wild <a href='mailto:mail@mitchelloharawild.com'>mail@mitchelloharawild.com</a>
Authors:<ul>
<li>Rob Hyndman</li>
<li>Earo Wang</li>
</ul>

Other contributors:<ul>
<li>Gabriel Caceres (NNETAR implementation) [contributor]</li>
<li>Christoph Bergmeir (<a href='https://orcid.org/0000-0002-3665-9021'>ORCID</a>) [contributor]</li>
<li>Tim-Gunnar Hensel [contributor]</li>
<li>Timothy Hyndman [contributor]</li>
</ul>

fable-package: fable: Forecasting Models for Tidy Time Series

Description

Arguments

Author

See Also