Package: ddml
Title: Double/Debiased Machine Learning
Version: 0.3.1
Date: 2025-12-10
Authors@R: c(
    person("Achim", "Ahrens", role = "aut"),
    person("Christian B", "Hansen", role = "aut"),
    person("Mark E", "Schaffer", role = "aut"),
    person("Thomas", "Wiemann", role = c("aut", "cre"), email = "thomas.wiemann@chicagobooth.edu"))
Description: 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.
License: GPL (>= 3)
URL: https://github.com/thomaswiemann/ddml,
        https://thomaswiemann.com/ddml/
BugReports: https://github.com/thomaswiemann/ddml/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Depends: R (>= 4.3)
Imports: methods, stats, AER, MASS, Matrix, nnls, quadprog, glmnet,
        ranger, xgboost
Suggests: sandwich, covr, testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-11 15:59:47 UTC; thomas
Author: Achim Ahrens [aut],
  Christian B Hansen [aut],
  Mark E Schaffer [aut],
  Thomas Wiemann [aut, cre]
Maintainer: Thomas Wiemann <thomas.wiemann@chicagobooth.edu>
Repository: CRAN
Date/Publication: 2025-12-11 23:20:20 UTC
Built: R 4.6.0; ; 2026-04-25 14:07:57 UTC; unix
