ddml: ddml: Double/Debiased Machine Learning in R
In ddml: Double/Debiased Machine Learning
ddml R Documentation
ddml: Double/Debiased Machine Learning in R
Description
Estimate common causal parameters using double/debiased machine
learning as proposed by Chernozhukov et al. (2018).
'ddml' simplifies estimation based on (short-)stacking, which leverages
multiple base learners to increase robustness to the underlying
data generating process.
References
Chernozhukov V, Chetverikov D, Demirer M, Duflo E, Hansen C B, Newey W,
Robins J (2018). "Double/debiased machine learning for treatment and
structural parameters." The Econometrics Journal, 21(1), C1-C68.
ddml documentation built on Oct. 3, 2024, 1:13 a.m.
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| ddml | R Documentation |
ddml: Double/Debiased Machine Learning in R
Description
Estimate common causal parameters using double/debiased machine learning as proposed by Chernozhukov et al. (2018). 'ddml' simplifies estimation based on (short-)stacking, which leverages multiple base learners to increase robustness to the underlying data generating process.
References
Chernozhukov V, Chetverikov D, Demirer M, Duflo E, Hansen C B, Newey W, Robins J (2018). "Double/debiased machine learning for treatment and structural parameters." The Econometrics Journal, 21(1), C1-C68.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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