tidy.model_mean

Returns the coefficients from the model in a <code>tibble</code> format.

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

fable

Forecasting Models for Tidy Time Series

Rob Hyndman

Earo Wang

Gabriel Caceres

Christoph Bergmeir

Tim-Gunnar Hensel

Timothy Hyndman

tidy.model_mean function

<dl><dt>x</dt>
<dd>An object to be converted into a tidy <code><a href="https://tibble.tidyverse.org/reference/tibble.html">tibble::tibble()</a></code>.</dd>
<dt>...</dt>
<dd>Additional arguments to tidying method.</dd></dl>

Arguments

Tidy a fable model — tidy.model_mean

<dl>

<dt>x</dt>
<dd>An object to be converted into a tidy <code><a href='https://tibble.tidyverse.org/reference/tibble.html'>tibble::tibble()</a></code>.</dd>


<dt>...</dt>
<dd>Additional arguments to tidying method.</dd>

</dl>

tidy.model_mean: Tidy a fable model

Description

Usage

Value

Arguments

Examples