Model List

The modeltime package provides an interface to a number of forecasting algorithms:

Classical Algorithms: ARIMA, Expeonential Smoothing
New Algorithms: Prophet
Machine Learning Algorithms: Boosted ARIMA, Boosted Prophet, or any parnsip algorithm

See “Getting Started with Modeltime” for an example of how to use the time series algorithms to make a forecast.

Model Search

The full model list. Use the table below to find model functions and engines for forecasting.

Try searching “arima”.

Parameter Search

Parameters define the key arguments to the modeling algorithms. If a parameter is not found, additional parameter can be supplied to the “Original Function” via set_engine().

Try searching, “prophet”. Then expand the engine drop-down.