@article {38117,
title = {Applying permutation tests to tree-based statistical models: extending the R package rpart},
volume = {2004-24},
year = {2004},
institution = {University of Maryland Institute for Advanced Computer Studies},
abstract = {Tree-based statistical models are useful for evaluating relationships between predictor and response variables and for generating predictions when the response is unknown. However, current methods of constructing tree-based models do not provide a probabilistic assessment of the models produced. Here we describe our work to use permutation tests to quantitatively estimate the probability of tree-based statistical models. We have extended the rpart (recursive partitioning) package of the R system for statistical data analysis. This extension, rpart.permutation, executes the permutations in parallel, using MPI (Message Passing Interface) to greatly decrease the time necessary to complete the analysis.},
author = {Michael P. Cummings and Myers, D. S. and Mangelson, M.}
}