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