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ddml: Double/Debiased Machine Learning
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:10.1177/1536867X241233641>, which leverages multiple base learners to increase robustness to the underlying data generating process.
Getting started
Browse package contents
Package details |
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| Author | Achim Ahrens [aut], Christian B Hansen [aut], Mark E Schaffer [aut], Thomas Wiemann [aut, cre] |
| Maintainer | Thomas Wiemann <wiemann@uchicago.edu> |
| License | GPL (>= 3) |
| Version | 0.3.0 |
| URL | https://github.com/thomaswiemann/ddml https://thomaswiemann.com/ddml/ |
| Package repository | View on CRAN |
| Installation |
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