R: Double Machine Learning in R

# Double Machine Learning in R

## Documentation for package ‘DoubleML’ version 1.0.2

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

## Help Pages

DoubleML | Abstract class DoubleML
DoubleMLClusterData | Double machine learning data-backend for data with cluster variables
DoubleMLData | Double machine learning data-backend
DoubleMLIIVM | Double machine learning for interactive IV regression models
DoubleMLIRM | Double machine learning for interactive regression models
DoubleMLPLIV | Double machine learning for partially linear IV regression models
DoubleMLPLR | Double machine learning for partially linear regression models
DoubleMLSSM | Double machine learning for sample selection models
double_ml_data_from_data_frame | Wrapper for Double machine learning data-backend initialization from data.frame.
double_ml_data_from_matrix | Wrapper for Double machine learning data-backend initialization from matrix.
fetch_401k | Data set on financial wealth and 401(k) plan participation.
fetch_bonus | Data set on the Pennsylvania Reemployment Bonus experiment.
make_iivm_data | Generates data from a interactive IV regression (IIVM) model.
make_irm_data | Generates data from a interactive regression (IRM) model.
make_pliv_CHS2015 | Generates data from a partially linear IV regression model used in Chernozhukov, Hansen and Spindler (2015).
make_pliv_multiway_cluster_CKMS2021 | Generates data from a partially linear IV regression model with multiway cluster sample used in Chiang et al. (2021).
make_plr_CCDDHNR2018 | Generates data from a partially linear regression model used in Chernozhukov et al. (2018)
make_plr_turrell2018 | Generates data from a partially linear regression model used in a blog article by Turrell (2018).
make_ssm_data | Generates data from a sample selection model (SSM).