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>Convert the date to POSIXct object. Timezones are stripped and replaced
with GMT.
</p>

<table summary="R argblock"><tr valign="top">
<td><code>ds</code></td>
<td>
<p>Date vector</p>
</td>
</tr></table>

<p>vector of POSIXct object converted from date
</p>

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

set_date

Description

Usage

Arguments

Value

prophet

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