The time series forecasting framework for use with the 'tidymodels' ecosystem.
Models include ARIMA, Exponential Smoothing, and additional time series models
from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition"
(<https://otexts.com/fpp2/>).
Refer to "Prophet: forecasting at scale"
(<https://research.fb.com/blog/2017/02/prophet-forecasting-at-scale/>.).

The Tidymodels Extension for Time Series Modeling

package-ubuntu-20.04-r-4.0.5#cran#modeltime-0.5.1

<p>This function returns <code>TRUE</code> for trained workflows and parsnip objects
that contain modeltime models
</p>

<table summary="R argblock"><tr valign="top">
<td><code>object</code></td>
<td>
<p>An object to detect if contains a fitted modeltime model</p>
</td>
</tr></table>

package-ubuntu-20.04-r-4.0.5#cran#modeltime-0.5.1#docs#is_modeltime_model

is_modeltime_model

Description

Usage

Arguments

modeltime

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