Double/Debiased Machine Learning R package ddml version 0.3.1 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. Software Depends: R (>= 4.3) Imports: methods, stats, AER, MASS, Matrix, nnls, quadprog, glmnet, ranger, xgboost Suggests: sandwich, covr, testthat (>= 3.0.0), knitr, rmarkdown Thomas Wiemann <thomas.wiemann@chicagobooth.edu> Comprehensive R Archive Network (CRAN) Achim Ahrens [aut], Christian B Hansen [aut], Mark E Schaffer [aut], Thomas Wiemann [aut, cre] GPL (>= 3) 2025-12-11 application/tgz https://CRAN.R-project.org/package=ddml doi:10.32614/CRAN.package.ddml