Increasing the number of Fourier components allows the seasonality to change more quickly (at risk of overfitting). Default values for yearly and weekly seasonalities are 10 and 3 respectively.
add_seasonality(m, name, period, fourier.order, prior.scale = NULL)Prophet object.
String name of the seasonality component.
Float number of days in one period.
Int number of Fourier components to use.
Float prior scale for this component.
The prophet model with the seasonality added.
Increasing prior scale will allow this seasonality component more flexibility, decreasing will dampen it. If not provided, will use the seasonality.prior.scale provided on Prophet initialization (defaults to 10).