Index A | B | C | D | E | F | G | I | L | M | N | O | P | Q | R | S | T | V | W A aggregate() (metacausal.aggregation.AggregationStrategy method) (metacausal.aggregation.AgreementStrategy method) (metacausal.aggregation.Mean method) (metacausal.aggregation.Median method) (metacausal.aggregation.SupervisedStrategy method) (metacausal.aggregation.TrimmedMean method) aggregation (metacausal.aggregation.BootstrapResult attribute) (metacausal.AteEstimate attribute) (metacausal.CateEstimate attribute) AggregationStrategy (class in metacausal.aggregation) AgreementStrategy (class in metacausal.aggregation) alpha (metacausal.aggregation.BootstrapResult attribute) ate (metacausal.aggregation.BootstrapResult attribute) (metacausal.AteEstimate attribute) (metacausal.ComponentAteEstimate attribute) ate() (metacausal.adapters.CausalEstimator method) (metacausal.adapters.CausalMLAdapter method) (metacausal.adapters.DoubleMLAdapter method) (metacausal.adapters.EconMLAdapter method) (metacausal.adapters.GenericATEAdapter method) (metacausal.adapters.GenericCATEAdapter method) (metacausal.adapters.StochtreeAdapter method) (metacausal.CausalEnsemble method) ate_ci_lower (metacausal.aggregation.BootstrapResult attribute) ate_ci_upper (metacausal.aggregation.BootstrapResult attribute) AteEstimate (class in metacausal) avg_frac (metacausal.aggregation.TrainAvgSplit attribute) B beta (metacausal.aggregation.QAggregation attribute) boot_ates (metacausal.aggregation.BootstrapResult attribute) boot_cates (metacausal.aggregation.BootstrapResult attribute) bootstrap() (metacausal.CausalEnsemble method) BootstrapResult (class in metacausal.aggregation) BootstrapWarning C cate (metacausal.aggregation.BootstrapResult attribute) (metacausal.CateEstimate attribute) (metacausal.ComponentCateEstimate attribute) cate() (metacausal.adapters.CausalEstimator method) (metacausal.adapters.CausalMLAdapter method) (metacausal.adapters.DoubleMLAdapter method) (metacausal.adapters.EconMLAdapter method) (metacausal.adapters.GenericATEAdapter method) (metacausal.adapters.GenericCATEAdapter method) (metacausal.adapters.StochtreeAdapter method) (metacausal.CausalEnsemble method) cate_ci_lower (metacausal.aggregation.BootstrapResult attribute) cate_ci_upper (metacausal.aggregation.BootstrapResult attribute) cate_method_names (metacausal.CausalEnsemble property) cate_profile() (in module metacausal.plots) (metacausal.aggregation.BootstrapResult method) (metacausal.CateEstimate method) CateEstimate (class in metacausal) CausalEnsemble (class in metacausal) CausalEstimator (class in metacausal.adapters) CausalMLAdapter (class in metacausal.adapters) CausalStacking (class in metacausal.aggregation) CBA (class in metacausal.aggregation) ci_at() (metacausal.aggregation.BootstrapResult method) ci_lower (metacausal.ComponentAteEstimate attribute) (metacausal.ComponentCateEstimate attribute) ci_upper (metacausal.ComponentAteEstimate attribute) (metacausal.ComponentCateEstimate attribute) component_ate_estimates (metacausal.aggregation.BootstrapResult attribute) component_ate_summary() (metacausal.aggregation.BootstrapResult method) component_ates (metacausal.AteEstimate property) component_boot_ates (metacausal.aggregation.BootstrapResult attribute) component_cate_estimates (metacausal.aggregation.BootstrapResult attribute) component_cates (metacausal.CateEstimate property) component_estimates (metacausal.AteEstimate attribute) (metacausal.CateEstimate attribute) component_fit_times (metacausal.AteEstimate attribute) ComponentAteEstimate (class in metacausal) ComponentCateEstimate (class in metacausal) ComponentExclusionWarning ComponentFailureWarning ComponentWarning compute_weights() (metacausal.aggregation.AgreementStrategy method) (metacausal.aggregation.CBA method) CrossFitSplit (class in metacausal.aggregation) D details (metacausal.aggregation.EnsembleWeights attribute) (metacausal.ComponentAteEstimate attribute) (metacausal.ComponentCateEstimate attribute) disagreement() (in module metacausal.plots) (metacausal.CausalEnsemble method) DoubleMLAdapter (class in metacausal.adapters) dr_pseudo_outcome() (in module metacausal.aggregation) E e_hat (metacausal.aggregation.NuisanceEstimates attribute) EconMLAdapter (class in metacausal.adapters) ensemble_weights (metacausal.aggregation.AggregationStrategy property) (metacausal.aggregation.AgreementStrategy property) (metacausal.aggregation.BootstrapResult attribute) (metacausal.aggregation.PointwiseStrategy property) (metacausal.aggregation.SupervisedStrategy property) (metacausal.CateEstimate attribute) EnsembleWeights (class in metacausal.aggregation) eps (metacausal.aggregation.CBA attribute) estimate() (metacausal.CausalEnsemble method) F fit() (metacausal.adapters.CausalEstimator method) (metacausal.adapters.CausalMLAdapter method) (metacausal.adapters.DoubleMLAdapter method) (metacausal.adapters.EconMLAdapter method) (metacausal.adapters.GenericATEAdapter method) (metacausal.adapters.GenericCATEAdapter method) (metacausal.adapters.StochtreeAdapter method) (metacausal.CausalEnsemble method) fit_nuisance() (in module metacausal.aggregation) fit_nuisance_fn (metacausal.aggregation.SupervisedStrategy attribute) fit_weights() (metacausal.aggregation.CausalStacking method) (metacausal.aggregation.QAggregation method) (metacausal.aggregation.RStacking method) (metacausal.aggregation.Select method) (metacausal.aggregation.SupervisedStrategy method) FoldSpec (class in metacausal.aggregation) forest() (in module metacausal.plots) (metacausal.aggregation.BootstrapResult method) G GenericATEAdapter (class in metacausal.adapters) GenericCATEAdapter (class in metacausal.adapters) greedy (metacausal.aggregation.QAggregation attribute) I infer_outcome_type() (in module metacausal) INNER_WORKER_ENV (in module metacausal.adapters) intercept (metacausal.aggregation.EnsembleWeights attribute) L load_lalonde() (in module metacausal.datasets) loss (metacausal.aggregation.Select attribute) M m_hat (metacausal.aggregation.NuisanceEstimates property) Mean (class in metacausal.aggregation) Median (class in metacausal.aggregation) MetaCausalWarning method (metacausal.aggregation.BootstrapResult attribute) (metacausal.aggregation.EnsembleWeights attribute) method_names (metacausal.CausalEnsemble property) model_names (metacausal.aggregation.EnsembleWeights attribute) mu0_hat (metacausal.aggregation.NuisanceEstimates attribute) mu1_hat (metacausal.aggregation.NuisanceEstimates attribute) N n_boot (metacausal.aggregation.BootstrapResult attribute) n_failed (metacausal.aggregation.BootstrapResult attribute) n_folds (metacausal.aggregation.CrossFitSplit attribute) (metacausal.aggregation.FoldSpec attribute) n_methods (metacausal.AteEstimate property) (metacausal.CateEstimate property) n_train (metacausal.aggregation.BootstrapResult attribute) name (metacausal.adapters.CausalEstimator property) (metacausal.adapters.CausalMLAdapter property) (metacausal.adapters.DoubleMLAdapter property) (metacausal.adapters.EconMLAdapter property) (metacausal.adapters.GenericATEAdapter property) (metacausal.adapters.GenericCATEAdapter property) (metacausal.adapters.StochtreeAdapter property) nu (metacausal.aggregation.QAggregation attribute) NuisanceEstimates (class in metacausal.aggregation) O outcome_model (metacausal.aggregation.SupervisedStrategy attribute) P plot() (metacausal.aggregation.EnsembleWeights method) PointwiseStrategy (class in metacausal.aggregation) prior (metacausal.aggregation.QAggregation attribute) propensity_model (metacausal.aggregation.SupervisedStrategy attribute) propensity_trim (metacausal.aggregation.SupervisedStrategy attribute) pseudo_outcome_fn (metacausal.aggregation.CausalStacking attribute) (metacausal.aggregation.QAggregation attribute) (metacausal.aggregation.Select attribute) Q QAggregation (class in metacausal.aggregation) R robinson_residuals() (in module metacausal.aggregation) RStacking (class in metacausal.aggregation) S scale (metacausal.aggregation.BootstrapResult property) Select (class in metacausal.aggregation) split (metacausal.aggregation.SupervisedStrategy attribute) split() (metacausal.aggregation.CrossFitSplit method) (metacausal.aggregation.TrainAvgSplit method) spread (metacausal.AteEstimate property) StochtreeAdapter (class in metacausal.adapters) strategy_family (metacausal.aggregation.AgreementStrategy attribute) (metacausal.aggregation.PointwiseStrategy attribute) (metacausal.aggregation.SupervisedStrategy attribute) stratify (metacausal.aggregation.CrossFitSplit attribute) (metacausal.aggregation.TrainAvgSplit attribute) subsample_m (metacausal.aggregation.BootstrapResult attribute) summary() (metacausal.aggregation.BootstrapResult method) (metacausal.AteEstimate method) (metacausal.CateEstimate method) (metacausal.CausalEnsemble method) SupervisedStrategy (class in metacausal.aggregation) supported_outcome_types (metacausal.adapters.CausalEstimator attribute) (metacausal.adapters.StochtreeAdapter attribute) supports_cate (metacausal.adapters.CausalEstimator property) (metacausal.adapters.CausalMLAdapter property) (metacausal.adapters.DoubleMLAdapter property) (metacausal.adapters.EconMLAdapter property) (metacausal.adapters.GenericATEAdapter property) (metacausal.adapters.GenericCATEAdapter property) (metacausal.adapters.StochtreeAdapter property) T test_indices (metacausal.aggregation.FoldSpec attribute) train_indices (metacausal.aggregation.FoldSpec attribute) TrainAvgSplit (class in metacausal.aggregation) trim_count (metacausal.aggregation.TrimmedMean attribute) TrimmedMean (class in metacausal.aggregation) V validate_outcome_type() (metacausal.adapters.CausalEstimator method) (metacausal.adapters.CausalMLAdapter method) (metacausal.adapters.DoubleMLAdapter method) (metacausal.adapters.EconMLAdapter method) (metacausal.adapters.GenericATEAdapter method) (metacausal.adapters.GenericCATEAdapter method) (metacausal.adapters.StochtreeAdapter method) W weights (metacausal.aggregation.EnsembleWeights attribute) weights() (in module metacausal.plots) (metacausal.CausalEnsemble method)