BivariateAssoc          Bivariate association measures for supervised
                        learning tasks.
FeatureSelection        Feature selection for conditional random
                        forests.
GetAleData              Accumulated Local Effects for a conditional
                        random forest.
GetCtree                Gets a tree from a conditional random forest
GetInteractionStrength
                        Strength of interactions
GetPartialData          Partial dependence for a conditional random
                        forest.
GetSplitStats           Permutation tests results for each split in a
                        conditional tree.
Outliers                Computes outliers
Prototypes              Prototypes of groups
SurrogateTree           Surrogate tree for conditional inference random
                        forests
fastcforest             Parallelized conditional inference random
                        forest
fastvarImp              Variable importance for conditional inference
                        random forests
fastvarImpAUC           Variable importance (with AUC performance
                        measure) for conditional inference random
                        forests
ggForestEffects         Dot plot of covariates effects
ggVarImp                Dot plot of variable importance
titanic                 Titanic dataset
