# Autocorrelation Regression Trees

## Documentation for package ‘autocart’ version 1.4.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

autocart | Create an autocart model
autocartControl | Create the object used for the controlling of the splits in the autocart model
autoforest | Create a forest of autocart trees..
autotune | Find the best alpha, beta, and bandwidth values with k-fold cross-validation
predictAutocart | Given an autocart model object, predict for new data passed in
predictAutoforest | Make a prediction using an autoforest model returned from the 'autoforest' function.
rmae | Relative mean absolute error
spatialNodes | Using an autocart model, use the terminal nodes to form a spatial process that uses inverse distance weighting to interpolate. The prediction for the new data that is passed in is formed by making a prediction to assign it to a group. Next, the residual for the new prediction is formed by inverse distance weighting the residual for the other points that are a part of that geometry.