# 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.