NuPa_honest_forest      Nuisance parameter estimation via honest random
                        forest
dml_with_smoother       Double ML estimators with outcome smoothers
get_outcome_weights     Outcome weights method
get_outcome_weights.causal_forest
                        Outcome weights for the 'causal_forest'
                        function
get_outcome_weights.dml_with_smoother
                        Outcome weights for the 'dml_with_smoother'
                        function
get_outcome_weights.instrumental_forest
                        Outcome weights for the 'instrumental_forest'
                        function
pive_weight_maker       Outcome weights maker for pseudo-IV estimators.
plot.dml_with_smoother
                        'plot' method for class 'dml_with_smoother'
prep_cf_mat             Creates matrix of binary cross-fitting fold
                        indicators (N x # cross-folds)
standardized_mean_differences
                        Calls C++ implementation to calculate
                        standardized mean differences.
summary.dml_with_smoother
                        'summary' method for class 'dml_with_smoother'
summary.get_outcome_weights
                        'summary' method for class 'outcome_weights'
summary.standardized_mean_differences
                        'summary' method for class
                        'standardized_mean_differences'
