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# CITATION 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 "FoRecoML" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'FoRecoML: Forecast Reconciliation with Machine Learning'
version: 1.0.0.9000
doi: 10.32614/CRAN.package.FoRecoML
abstract: Nonlinear forecast reconciliation with machine learning in cross-sectional
  (Spiliotis et al. 2021 <https://doi.org/10.1016/j.asoc.2021.107756>), temporal,
  and cross-temporal (Rombouts et al. 2024 <https://doi.org/10.1016/j.ijforecast.2024.05.008>)
  frameworks.
authors:
- family-names: Girolimetto
  given-names: Daniele
  email: daniele.girolimetto@unipd.it
  orcid: https://orcid.org/0000-0001-9387-1232
- family-names: Yang
  given-names: Yangzhuoran Fin
  email: yangyangzhuoran@gmail.com
  orcid: https://orcid.org/0000-0002-1232-8017
- family-names: Rombouts
  given-names: Jeroen
  email: rombouts@essec.edu
  orcid: https://orcid.org/0000-0003-2255-4875
- family-names: Wilms
  given-names: Ines
  email: i.wilms@maastrichtuniversity.nl
  orcid: https://orcid.org/0000-0003-3269-4601
repository: https://danigiro.r-universe.dev
repository-code: https://github.com/danigiro/FoRecoML
commit: b835bd0678184c1a17a24fcc5b34058f82181dbc
url: https://danigiro.github.io/FoRecoML/
date-released: '2026-06-07'
contact:
- family-names: Girolimetto
  given-names: Daniele
  email: daniele.girolimetto@unipd.it
  orcid: https://orcid.org/0000-0001-9387-1232