Package: IVDML
Title: Double Machine Learning with Instrumental Variables and
        Heterogeneity
Version: 1.0.2
Authors@R: 
    person("Cyrill", "Scheidegger",
    email = "cyscheidegger@gmail.com",
    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
Roxygen: list(markdown = TRUE)
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Imports: mgcv, ranger, stats, xgboost (>= 3.1.2.1)
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: make
Repository: https://cyrillsch.r-universe.dev
Date/Publication: 2026-09-04 08:23:59 UTC
RemoteUrl: https://github.com/cyrillsch/ivdml
RemoteRef: HEAD
RemoteSha: 53fec825b5fa40cc3367ab15a5365bc4e99a5d2d
NeedsCompilation: no
Packaged: 2026-10-04 10:34:50 UTC; root
Author: Cyrill Scheidegger [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0005-2851-1384>)
Maintainer: Cyrill Scheidegger <cyscheidegger@gmail.com>