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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "xtifedml" in publications use:'
type: software
license:
- GPL-2.0-only
- GPL-3.0-only
title: 'xtifedml: Double Machine Learning for Static Panel Models with Interactive
  Fixed Effects'
version: 0.1.4
abstract: Implements partially linear panel regression (PLPR) models with interactive
  fixed effects, high-dimensional confounding variables, and an exogenous treatment
  variable within the double machine learning framework. Estimates the structural
  parameter (treatment effect) in static panel data models with interactive fixed
  effects using the approach established in Chen et al. (2026) <https://doi.org/10.48550/arXiv.2608.01137>.
  Builds on the object-oriented package 'DoubleML' (Bach et al., 2024) <https://doi.org/10.18637/jss.v108.i03>
  and 'xtdml' (Polselli, 2025) <https://doi.org/10.48550/arXiv.2512.15965>, using
  the 'mlr3' ecosystem.
authors:
- family-names: Chen
  given-names: Binzhi
  email: Binzhi.Chen9@gmail.com
  orcid: https://orcid.org/0000-0002-5094-7740
- 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: 89a1d510e9b0f05742f03242d56f84b6b8cf45f8
date-released: '2026-09-22'
contact:
- family-names: Polselli
  given-names: Annalivia
  email: apolselli.econ@gmail.com
  orcid: https://orcid.org/0009-0002-7579-7926