Package: IVDML
Title: Double Machine Learning with Instrumental Variables and
        Heterogeneity
Version: 1.0.1
Authors@R: 
    person("Cyrill", "Scheidegger",
    email = "cyrill.scheidegger@stat.math.ethz.ch",
    role = c("aut", "cre", "cph"), 
    comment = c(ORCID = "0009-0005-2851-1384"))
Description: Instrumental variable (IV) estimators for homogeneous and
    heterogeneous treatment effects with efficient machine learning instruments.
    The estimators are based on double/debiased machine learning allowing for
    nonlinear and potentially high-dimensional control variables. Details can 
    be found in Scheidegger, Guo and Bühlmann (2025) "Inference for 
    heterogeneous treatment effects with efficient instruments and machine 
    learning" <doi:10.48550/arXiv.2503.03530>.
URL: https://github.com/cyrillsch/IVDML
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Imports: mgcv, ranger, stats, xgboost (>= 3.1.2.1)
NeedsCompilation: no
Packaged: 2025-12-12 10:35:06 UTC; scyrill
Author: Cyrill Scheidegger [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0005-2851-1384>)
Maintainer: Cyrill Scheidegger <cyrill.scheidegger@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2025-12-12 10:50:06 UTC
Built: R 4.6.0; ; 2026-04-27 17:47:35 UTC; unix
