Function reference • ddml

Supported Models

ddml_plm(): Estimator for the Partially Linear Model.

ddml_ate() ddml_att(): Estimators of Average Treatment Effects.

ddml_pliv(): Estimator for the Partially Linear IV Model.

ddml_fpliv(): Estimator for the Flexible Partially Linear IV Model.

ddml_late(): Estimator of the Local Average Treatment Effect.

summary(<ddml_ate>) summary(<ddml_att>) summary(<ddml_late>): Inference Methods for Treatment Effect Estimators.

summary(<ddml_fpliv>) summary(<ddml_pliv>) summary(<ddml_plm>): Inference Methods for Partially Linear Estimators.

Wrappers for Common (Machine) Learners

ols(): Ordinary least squares.

mdl_glmnet(): Wrapper for glmnet::glmnet().

mdl_ranger(): Wrapper for ranger::ranger().

mdl_xgboost(): Wrapper for xgboost::xgboost().

Utilities

crossval(): Estimator of the Mean Squared Prediction Error using Cross-Validation.

crosspred(): Cross-Predictions using Stacking.

shortstacking(): Predictions using Short-Stacking.

Dataset

AE98: Random subsample from the data of Angrist & Evans (1991).