Implements a procedure for forecasting time series data based on
an additive model where non-linear trends are fit with yearly, weekly, and
daily seasonality, plus holiday effects. It works best with time series
that have strong seasonal effects and several seasons of historical data.
Prophet is robust to missing data and shifts in the trend, and typically
handles outliers well.

Automatic Forecasting Procedure

package-ubuntu-20.04-r-4.0.5#cran#prophet-1.0

<p>Merge history and forecast for plotting.
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>m</code></td>
<td>
<p>Prophet object.</p>
</td>
</tr>
<tr valign="top">
<td><code>fcst</code></td>
<td>
<p>Data frame returned by prophet predict.</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#prophet-1.0#docs#df_for_plotting

df_for_plotting

Description

Usage

Arguments

prophet

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`m`	Prophet object.
`fcst`	Data frame returned by prophet predict.