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>Bridge prediction function for NAIVE Models
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>An object of class <code>model_fit</code></p>
</td>
</tr>
<tr valign="top">
<td><code>new_data</code></td>
<td>
<p>A rectangular data object, such as a data frame.</p>
</td>
</tr>
</table>

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

`object`	An object of class `model_fit`
`new_data`	A rectangular data object, such as a data frame.

naive_predict_impl

Description

Usage

Arguments

modeltime

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