add_group_component

Adds a component with given name that contains all of the components
in group.

internal

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.

Cuong Duong

prophet

Automatic Forecasting Procedure

Sean Taylor

Ben Letham

add_group_component function

<dl><dt>components</dt>
<dd>Dataframe with components.</dd>
<dt>name</dt>
<dd>Name of new group component.</dd>
<dt>group</dt>
<dd>List of components that form the group.</dd></dl>

Arguments

Adds a component with given name that contains all of the components
in group. — add_group_component

<dl>

<dt>components</dt>
<dd>Dataframe with components.</dd>


<dt>name</dt>
<dd>Name of new group component.</dd>


<dt>group</dt>
<dd>List of components that form the group.</dd>

</dl>

add_group_component: Adds a component with given name that contains all of the components in group.

Description

Usage

Value

Arguments