best_of_family          Select Best Models by Performance Metrics
check_efa               Check Exploratory Factor Analysis Suitability
dictionary              Dictionary of Variable Attributes
hmda.adjust.params      Adjust Hyperparameter Combinations
hmda.autoEnsemble       Build Stacked Ensemble Model Using autoEnsemble
                        R package
hmda.best.models        Select Best Models Across All Models in HMDA
                        Grid
hmda.domain             compute and plot weighted mean SHAP
                        contributions at group level (factors or
                        domains)
hmda.efa                Perform Exploratory Factor Analysis with HMDA
hmda.feature.selection
                        Feature Selection Based on Weighted SHAP Values
hmda.grid               Tune Hyperparameter Grid for HMDA Framework
hmda.grid.analysis      Analyze Hyperparameter Grid Performance
hmda.init               Initialize or Restart H2O Cluster for HMDA
                        Analysis
hmda.partition          Partition Data for HMDA Analysis
hmda.search.param       Search for Hyperparameters via Random Search
hmda.suggest.param      Suggest Hyperparameters for tuning HMDA Grids
hmda.wmshap             Compute Weighted Mean SHAP Values and
                        Confidence Intervals via shapley algorithm
hmda.wmshap.table       Create SHAP Summary Table Based on the Given
                        Criterion
list_hyperparameter     Create Hyperparameter List from a leaderboard
                        dataset
suggest_mtries          Suggest Alternative mtries Values
