R: Double/Debiased Machine Learning

# Double/Debiased Machine Learning

## Documentation for package ‘ddml’ version 0.3.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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_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.