Index _ | A | B | C | D | E | F | G | H | I | K | L | M | O | P | R | S | T | U | W | X _ __init__() (AdversarialBalancing method) (AIPW method) (BICauseTree method) (CausalSimulator3 method), [1] (DoubleLASSO method) (FaissNearestNeighbors method) (HEMM method) (IPW method) (MarginalSurvival method) (Matching method) (MatchingTransformer method) (OverlapWeights method) (PropensityFeatureStandardization method) (PropensityMatching method) (PropensityTransformer method) (RecursiveConfounderElimination method) (RegressionCurveFitter method) (RLearner method) (Standardization method) (StandardizedSurvival method) (StratifiedStandardization method) (TMLE method) (Trimming method) (UnivariateBoundingBox method) (UnivariateCurveFitter method) (WeightedStandardizedSurvival method) (WeightedSurvival method) (XLearner method) A AdversarialBalancing (class in causallib.contrib.adversarial_balancing) AIPW (class in causallib.estimation) apply() (BICauseTree method) assert_is_fitted() (UnivariateBoundingBox method) B bernoulli_pdf() (HEMM static method) BICauseTree (class in causallib.contrib.bicause_tree) C causalize_searcher() (in module causallib.model_selection) causallib.simulation.CausalSimulator3 module CausalSimulator3 (class in causallib.simulation.CausalSimulator3), [1] classify_agg_function (Matching attribute), [1] compute_propensity() (IPW method) compute_propensity_matrix() (IPW method) compute_weight_matrix() (AdversarialBalancing method) (IPW method) (MarginalOutcomeEstimator method) (Matching method) (OverlapWeights method) compute_weights() (AdversarialBalancing method) (IPW method) (MarginalOutcomeEstimator method) (Matching method) D discriminator_loss_ (AdversarialBalancing attribute), [1] DoubleLASSO (class in causallib.preprocessing.confounder_selection) E estimate_effect() (AIPW method) (XLearner method) estimate_individual_effect() (RLearner method) estimate_individual_outcome() (AIPW method) (BICauseTree method) (Matching method) (PropensityFeatureStandardization method) (RLearner method) (Standardization method) (StandardizedSurvival method) (StratifiedStandardization method) (TMLE method) (WeightedStandardization method) (WeightedStandardizedSurvival method) (XLearner method) estimate_individual_outcomes() (HEMM method) estimate_population_outcome() (AdversarialBalancing method) (AIPW method) (BICauseTree method) (IPW method) (MarginalOutcomeEstimator method) (StandardizedSurvival method) (WeightedSurvival method) evaluate() (in module causallib.evaluation) evaluate_bootstrap() (in module causallib.evaluation) explain() (BICauseTree method) F FaissNearestNeighbors (class in causallib.contrib.faissknn) find_indices_of_matched_samples() (MatchingTransformer method) fit() (AdversarialBalancing method) (AIPW method) (BICauseTree method) (DoubleLASSO method) (FaissNearestNeighbors method) (HEMM method) (IPW method) (MarginalOutcomeEstimator method) (Matching method) (MatchingTransformer method) (PropensityFeatureStandardization method) (PropensityTransformer method) (RecursiveConfounderElimination method) (RegressionCurveFitter method) (RLearner method) (Standardization method) (StandardizedSurvival method) (StratifiedStandardization method) (TMLE method) (Trimming method) (UnivariateBoundingBox method) (UnivariateCurveFitter method) (WeightedStandardization method) (WeightedStandardizedSurvival method) (WeightedSurvival method) (XLearner method) fit_column() (UnivariateBoundingBox method) fit_outcome_models() (BICauseTree method) fit_transform() (MatchingTransformer method) format_for_training() (CausalSimulator3 method), [1] forward() (HEMM method) G G_LINKING_METHODS (CausalSimulator3 attribute), [1] gaussian_pdf() (HEMM static method) generate_censor_col() (CausalSimulator3 method), [1] generate_covariate_col() (CausalSimulator3 method), [1] generate_data() (CausalSimulator3 method), [1] generate_outcome_col() (CausalSimulator3 method), [1] generate_random_topology() (in module causallib.simulation.CausalSimulator3), [1] generate_treatment_col() (CausalSimulator3 method), [1] get_covariates_of_matches() (Matching method) get_groups() (HEMM method) get_groups_effect() (HEMM method) get_groups_proba() (HEMM method) get_params() (FaissNearestNeighbors method) get_scorer() (in module causallib.metrics) get_scorer_names() (in module causallib.metrics) graph_topology (CausalSimulator3 attribute) GridSearchCV (in module causallib.model_selection) group_sizes() (HEMM method) H HEMM (class in causallib.contrib.hemm.hemm) I idx2var_vector() (in module causallib.simulation.CausalSimulator3), [1] IPW (class in causallib.estimation.ipw) iterative_models_ (AdversarialBalancing attribute), [1] iterative_normalizing_consts_ (AdversarialBalancing attribute), [1] K kneighbors() (FaissNearestNeighbors method) L lcost() (HEMM method) load_acic16() (in module causallib.datasets) load_nhefs() (in module causallib.datasets) load_nhefs_survival() (in module causallib.datasets) M MarginalOutcomeEstimator (class in causallib.estimation) MarginalSurvival (class in causallib.survival) match() (Matching method) match_df_ (Matching attribute), [1] matches_to_weights() (Matching method) Matching (class in causallib.estimation.matching) MatchingTransformer (class in causallib.preprocessing.transformers) module causallib.simulation.CausalSimulator3 O O_LINKING_METHODS (CausalSimulator3 attribute), [1] outcomes_ (Matching attribute), [1] OverlapWeights (class in causallib.estimation) P predict() (Trimming method) (UnivariateBoundingBox method) (UnivariateCurveFitter method) predict_survival_function() (RegressionCurveFitter method) PropensityFeatureStandardization (class in causallib.estimation) PropensityMatching (class in causallib.estimation) PropensityTransformer (class in causallib.preprocessing.transformers) R RandomizedSearchCV (in module causallib.model_selection) RecursiveConfounderElimination (class in causallib.preprocessing.confounder_selection) regress_agg_function (Matching attribute), [1] RegressionCurveFitter (class in causallib.survival) regularization() (HEMM method) reset_coefficients() (CausalSimulator3 method), [1] RLearner (class in causallib.estimation.rlearner) S samples_used_ (Matching attribute), [1] scaled_supports_table_ (UnivariateBoundingBox property) set_fit_request() (AdversarialBalancing method) (AIPW method) (BICauseTree method) (IPW method) (MarginalOutcomeEstimator method) (Matching method) (OverlapWeights method) (PropensityFeatureStandardization method) (PropensityMatching method) (PropensityTransformer method) (RLearner method) (Standardization method) (StratifiedStandardization method) (TMLE method) (Trimming method) (UnivariateBoundingBox method) (WeightedStandardization method) (XLearner method) set_params() (FaissNearestNeighbors method) (MatchingTransformer method) set_predict_request() (Trimming method) (UnivariateBoundingBox method) set_score_request() (Trimming method) (UnivariateBoundingBox method) set_split_request() (TreatmentOutcomeStratifiedKFold method) (TreatmentStratifiedKFold method) set_transform_request() (PropensityTransformer method) (Trimming method) (UnivariateBoundingBox method) split() (TreatmentOutcomeStratifiedKFold method) (TreatmentStratifiedKFold method) stabilize_weights() (OverlapWeights method) Standardization (class in causallib.estimation.standardization) StandardizedSurvival (class in causallib.survival) StratifiedStandardization (class in causallib.estimation) supports_table_ (UnivariateBoundingBox property) T TMLE (class in causallib.estimation.tmle) to_csv() (CausalSimulator3 static method), [1] transform() (MatchingTransformer method) (PropensityTransformer method) TREATMENT_METHODS (CausalSimulator3 attribute), [1] TreatmentOutcomeStratifiedKFold (class in causallib.model_selection) treatments_ (Matching attribute), [1] treatments_frequency_ (AdversarialBalancing attribute), [1] TreatmentStratifiedKFold (class in causallib.model_selection) Trimming (class in causallib.positivity.trimming) U UnivariateBoundingBox (class in causallib.positivity) UnivariateCurveFitter (class in causallib.survival) W WeightedStandardization (class in causallib.estimation) WeightedStandardizedSurvival (class in causallib.survival) WeightedSurvival (class in causallib.survival) X XLearner (class in causallib.estimation.xlearner)