Package: ddml
Title: Double/Debiased Machine Learning
Version: 0.9.0
Date: 2026-03-06
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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.3)
Imports: generics, glmnet, graphics, MASS, Matrix, methods, nnls,
        pbapply, quadprog, ranger, stats, xgboost
Suggests: AER, covr, CVXR, knitr, parallel, rmarkdown, sandwich,
        testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
Config/pak/sysreqs: make
Repository: https://thomaswiemann.r-universe.dev
Date/Publication: 2026-04-16 20:48:06 UTC
RemoteUrl: https://github.com/thomaswiemann/ddml
RemoteRef: HEAD
RemoteSha: e17f94c63856173f4892d1528d7daf1b0e9562a9
NeedsCompilation: no
Packaged: 2026-07-15 05:33:48 UTC; root
Author: Achim Ahrens [aut],
  Christian B Hansen [aut],
  Mark E Schaffer [aut],
  Thomas Wiemann [aut, cre]
Maintainer: Thomas Wiemann <thomas.wiemann@chicagobooth.edu>