fitted.model_mean

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

fitted.model_mean function

<dl><dt>object</dt>
<dd>The time series model used to produce the forecasts</dd>
<dt>...</dt>
<dd>Additional arguments for forecast model methods.</dd></dl>

Arguments

Extract fitted values from a fable model — fitted.model_mean

<dl>

<dt>object</dt>
<dd>The time series model used to produce the forecasts</dd>


<dt>...</dt>
<dd>Additional arguments for forecast model methods.</dd>

</dl>

Extract fitted values from a fable model

fitted.model_mean: Extract fitted values from a fable model

Description

Usage

Value

Arguments

Examples