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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "xtdml" in publications use:'
type: software
license:
- GPL-2.0-only
- GPL-3.0-only
title: 'xtdml: Double Machine Learning for Static Panel Models with Fixed Effects'
version: 0.1.12
doi: 10.32614/CRAN.package.xtdml
abstract: 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) <https://doi.org/10.1093/ectj/utaf011>.
  'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) <https://doi.org/10.18637/jss.v108.i03>
  using the 'mlr3' ecosystem.
authors:
- family-names: Polselli
  given-names: Annalivia
  email: apolselli.econ@gmail.com
  orcid: https://orcid.org/0009-0002-7579-7926
repository: https://cran.r-universe.dev
commit: ac841137d6b2ec14ae4292a6ffa0de053b9e9d95
date-released: '2026-03-12'
contact:
- family-names: Polselli
  given-names: Annalivia
  email: apolselli.econ@gmail.com
  orcid: https://orcid.org/0009-0002-7579-7926