ddml

ddml-package

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.

internal

Estimate common causal parameters using double/debiased machine
learning as proposed by Chernozhukov et al. (2018) <doi:10.1111/ectj.12097>.
'ddml' simplifies estimation based on (short-)stacking as discussed in
Ahrens et al. (2024) <doi:10.1002/jae.3103>, which leverages multiple base
learners to increase robustness to the underlying data generating process.

Thomas Wiemann

Double/Debiased Machine Learning

Achim Ahrens

Christian B Hansen

Mark E Schaffer

ddml-package function

Maintainer: Thomas Wiemann <a href="/link/thomas.wiemann%40chicagobooth.edu?package=ddml&version=0.3.1" data-mini-rdoc="ddml::thomas.wiemann@chicagobooth.edu">thomas.wiemann@chicagobooth.edu</a>
Authors:<ul>
<li>Achim Ahrens</li>
<li>Christian B Hansen</li>
<li>Mark E Schaffer</li>
</ul>

Author

ddml: Double/Debiased Machine Learning in R — ddml-package

Maintainer: Thomas Wiemann <a href='mailto:thomas.wiemann@chicagobooth.edu'>thomas.wiemann@chicagobooth.edu</a>
Authors:<ul>
<li>Achim Ahrens</li>
<li>Christian B Hansen</li>
<li>Mark E Schaffer</li>
</ul>

ddml-package: ddml: Double/Debiased Machine Learning in R

Description

Arguments

Author

References

See Also