Double/Debiased Machine Learning

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Documentation for package ‘ddml’ version 0.2.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

AE98	Random subsample from the data of Angrist & Evans (1991).
crosspred	Cross-Predictions using Stacking.
crossval	Estimator of the Mean Squared Prediction Error using Cross-Validation.
ddml	ddml: Double/Debiased Machine Learning in R
ddml_ate	Estimators of Average Treatment Effects.
ddml_att	Estimators of Average Treatment Effects.
ddml_fpliv	Estimator for the Flexible Partially Linear IV Model.
ddml_late	Estimator of the Local Average Treatment Effect.
ddml_pliv	Estimator for the Partially Linear IV Model.
ddml_plm	Estimator for the Partially Linear Model.
mdl_glm	Wrapper for 'stats::glm()'.
mdl_glmnet	Wrapper for 'glmnet::glmnet()'.
mdl_ranger	Wrapper for 'ranger::ranger()'.
mdl_xgboost	Wrapper for 'xgboost::xgboost()'.
ols	Ordinary least squares.
print.summary.ddml_ate	Print Methods for Treatment Effect Estimators.
print.summary.ddml_att	Print Methods for Treatment Effect Estimators.
print.summary.ddml_fpliv	Print Methods for Treatment Effect Estimators.
print.summary.ddml_late	Print Methods for Treatment Effect Estimators.
print.summary.ddml_pliv	Print Methods for Treatment Effect Estimators.
print.summary.ddml_plm	Print Methods for Treatment Effect Estimators.
shortstacking	Predictions using Short-Stacking.
summary.ddml_ate	Inference Methods for Treatment Effect Estimators.
summary.ddml_att	Inference Methods for Treatment Effect Estimators.
summary.ddml_fpliv	Inference Methods for Partially Linear Estimators.
summary.ddml_late	Inference Methods for Treatment Effect Estimators.
summary.ddml_pliv	Inference Methods for Partially Linear Estimators.
summary.ddml_plm	Inference Methods for Partially Linear Estimators.