Welcome to econml’s documentation!
- EconML User Guide
- Machine Learning Based Estimation of Heterogeneous Treatment Effects
- Motivating Examples
- Problem Setup and API Design
- Library Flow Chart
- Detailed estimator comparison
- Estimation Methods under Unconfoundedness
- Estimation Methods with Instruments
- Estimation Methods for Dynamic Treatment Regimes
- Inference
- Interpretability
- References
- Public Module Reference
- CATE Estimators
- Instrumental Variable CATE Estimators
- Estimators for Dynamic Treatment Regimes
- Policy Learning
- CATE Interpreters
- CATE Scorers
- Generalized Random Forests
- Scikit-Learn Extensions
- Linear Model Extensions
- econml.sklearn_extensions.linear_model.DebiasedLasso
- econml.sklearn_extensions.linear_model.MultiOutputDebiasedLasso
- econml.sklearn_extensions.linear_model.SelectiveRegularization
- econml.sklearn_extensions.linear_model.StatsModelsLinearRegression
- econml.sklearn_extensions.linear_model.StatsModelsRLM
- econml.sklearn_extensions.linear_model.WeightedLasso
- econml.sklearn_extensions.linear_model.WeightedLassoCV
- econml.sklearn_extensions.linear_model.WeightedMultiTaskLassoCV
- econml.sklearn_extensions.linear_model.WeightedLassoCVWrapper
- Model Selection Extensions
- Linear Model Extensions
- Inference
- Inference Results
- Inference Methods
- econml.inference.BootstrapInference
- econml.inference.GenericModelFinalInference
- econml.inference.GenericSingleTreatmentModelFinalInference
- econml.inference.LinearModelFinalInference
- econml.inference.StatsModelsInference
- econml.inference.GenericModelFinalInferenceDiscrete
- econml.inference.LinearModelFinalInferenceDiscrete
- econml.inference.StatsModelsInferenceDiscrete
- Solutions
- Integration with DoWhy
- Utilities
- Private Module Reference