%0 Report %D 2004 %T Applying permutation tests to tree-based statistical models: extending the R package rpart %A Cummings, Michael P. %A Myers,D. S %A Mangelson,M %X 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. %I University of Maryland Institute for Advanced Computer Studies %V 2004-24 %8 2004/// %G eng