feature.selection       Select top features by weighted mean SHAP
                        (WMSHAP)
feature.test            Weighted permutation test for paired difference
                        of means
h2o.get_ids             Extract model IDs from H2O AutoML or Grid
                        objects
normalize               Normalize a vector based on specified minimum
                        and maximum values
shapley                 Weighted Mean SHAP (WMSHAP) and Confidence
                        Interval for Multiple Models (tuning grid,
                        stacked ensemble, etc.)
shapley.domain          Compute and plot weighted mean SHAP
                        contributions at group level (factors or
                        domains)
shapley.domain.test     Weighted permutation test for difference
                        between two domains
shapley.feature.test    Weighted permutation test for WMSHAP difference
                        between two features
shapley.plot            Plot weighted mean SHAP (WMSHAP) contributions
shapley.row.plot        WMSHAP row-level plot for a single observation
                        (participant or data row)
shapley.table           Create WMSHAP Summary Table Based on the Given
                        Criterion
shapley.top             Flag and rank features by WMSHAP cutoffs
