drf                     Distributional Random Forests
get_sample_weights      Given a trained forest and test data, compute
                        the training sample weights for each test
                        point.
get_tree                Retrieve a single tree from a trained forest
                        object.
leaf_stats.default      A default leaf_stats for forests classes
                        without a leaf_stats method that always returns
                        NULL.
leaf_stats.drf          Calculate summary stats given a set of samples
                        for regression forests.
medianHeuristic         Compute the median heuristic for the MMD
                        bandwidth choice
plot.drf_tree           Plot a DRF tree object.
predict.drf             Predict from Distributional Random Forests
                        object
print.drf               Print a DRF forest object.
print.drf_tree          Print a DRF tree object.
split_frequencies       Calculate which features the forest split on at
                        each depth.
variableImportance      Variable importance based on MMD
variable_importance     Calculate a simple measure of 'importance' for
                        each feature.
weighted.quantile       Weighted quantiles
