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

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>a model object for which prediction is desired.</p>
</td>
</tr>
<tr valign="top">
<td><code>newdata</code></td>
<td>
<p>New data to be predicted</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>additional arguments affecting the predictions produced.</p>
</td>
</tr>
</table>

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

xgboost_predict

Description

Usage

Arguments

modeltime

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`object`	a model object for which prediction is desired.
`newdata`	New data to be predicted
`...`	additional arguments affecting the predictions produced.