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>Return all possible holiday names of given country
</p>

<table summary="R argblock"><tr valign="top">
<td><code>country.name</code></td>
<td>
<p>Country name (character).</p>
</td>
</tr></table>

<p>A vector of all possible holiday names (unique) of given country.
</p>

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

get_holiday_names

Description

Usage

Arguments

Value

prophet

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