Acc                     Computes the proportion of matching terms in
                        two vectors of the same length. Used to compute
                        the accuracy for prediction on test set.
BEST                    Main function of the package. It produces
                        Classification Trees with Branch-Exclusive
                        variables.
BESTForest              Generates a random forest of BEST trees
BaggedBEST              Performs Bootstrap Aggregating of BEST trees
Data                    Data generated according to decision tree for
                        simulation purposes
FPredict                Emits prediction from a forest of BEST's
Fit                     Data generated according to decision tree for
                        simulation purposes
ForgeVA                 Quickly build the Available Variable list
                        necessary for BEST This list contains details
                        as to which variables is available for the
                        partitioning. It also contains which variables
                        are gating variables.
MPredict                Classify a set of new observation points
Predict                 Classify a new observation point
TreePruning             Uses a Validation Set to select the best trees
                        within the list of pruned trees.
VI                      Produces a variable important analysis using
                        the mean decrease in node impurity
