diversityForest-package
                        Diversity Forests
divfor                  Construct a basic diversity forest prediction
                        rule that uses univariable, binary splitting.
importance.divfor       Diversity Forest variable importance
interactionfor          Construct an interaction forest prediction rule
                        and calculate EIM values as described in
                        Hornung & Boulesteix (2022).
plot.interactionfor     Plot method for 'interactionfor' objects
plotEffects             Interaction forest plots: exploring interaction
                        forest results through visualisation
plotPair                Plot of the (estimated) simultaneous influence
                        of two variables
predict.divfor          Diversity Forest prediction
predict.interactionfor
                        Interaction Forest prediction
stock                   Data on stock prices of aerospace companies
tunedivfor              Optimization of the values of the tuning
                        parameters 'nsplits' and 'proptry'
zoo                     Data on biological species
