TY - RPRT
T1 - Applying permutation tests to tree-based statistical models: extending the R package rpart
Y1 - 2004
A1 - Michael P. Cummings
A1 - Myers, D. S.
A1 - Mangelson, M.
AB - 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.
PB - University of Maryland Institute for Advanced Computer Studies
VL - 2004-24
ER -