GetMultPropVotes        For each case, the multiplicative proportion of
                        votes
HieFMeasure             Hierarchical precision, hierarchical recall and
                        hierarchical F measure
HieRanFor-package       HieRanFor: A package for running a hierarchical
                        randomForest analysis.
ImportanceHie           The importance value of each explanatory
                        variable in each local classifier
JoinLevels              Combines the factor levels of two input vectors
OliveOilHie             Modification of the 'oliveoil' data-set from
                        package 'pdfCluster'.
PerformanceFlatRF       Runs a flat classification on the same data as
                        'hie.RF' and assess performance.
PerformanceHRF          Flat and hierarchical performance measures.
PerformanceNewHRF       Predict and assess performance of 'new.data',
                        for which the 'true' class is known.
PlotImportanceHie       Plotting function for the hierarchical
                        importance
PredictNewHRF           Predict crisp class for 'new.data'
RandomHRF               Create random class hierarchy with random
                        training and 'new.data' cases.
RunHRF                  Run the Hierarchical randomForest on the
                        training data.
plot.HRF                Plot the Hierarchical class structure
predict.HRF             For all cases, the proportion of OOB votes that
                        each class received in each local randomForest
                        classifier.
tuneRF2                 the tuneRF function of randomForest after
                        correcting for error relating to errorOld=0
