Package: xtdml
Type: Package
Title: Double Machine Learning for Static Panel Models with Fixed
        Effects
Version: 0.1.12
Date: 2026-03-12
Authors@R: 
    person("Annalivia", "Polselli",  role = c("aut", "cre"),
    email = "apolselli.econ@gmail.com", 
    comment = c(ORCID = "0009-0002-7579-7926"))
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>
Description: The 'xtdml' package implements partially linear panel
        regression (PLPR) models with high-dimensional confounding
        variables and an exogenous treatment variable within the double
        machine learning framework. The package is used to estimate the
        structural parameter (treatment effect) in static panel data
        models with fixed effects using the approaches established in
        Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml'
        is built on the object-oriented package 'DoubleML' (Bach et
        al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3'
        ecosystem.
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: R6 (>= 2.4.1), data.table (>= 1.12.8), mlr3 (>= 1.3.0),
        mlr3tuning (>= 1.5.0), mlr3learners (>= 0.13.0), mlr3misc (>=
        0.19.0), mvtnorm, utils, clusterGeneration, readstata13,
        magrittr, dplyr, stats, MLmetrics, checkmate, rlang
RoxygenNote: 7.3.3
Suggests: rpart, mlr3pipelines, bbotk (>= 1.8.0)
NeedsCompilation: no
Packaged: 2026-07-11 06:07:39 UTC; root
Author: Annalivia Polselli [aut, cre] (ORCID:
        <https://orcid.org/0009-0002-7579-7926>)
Repository: https://cran.r-universe.dev
Date/Publication: 2026-03-13 09:40:02 UTC
RemoteUrl: https://github.com/cran/xtdml
RemoteRef: HEAD
RemoteSha: ac841137d6b2ec14ae4292a6ffa0de053b9e9d95