Autocorrelation Regression Trees

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Documentation for package ‘autocart’ version 1.4.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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.