# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "fable.bayesRecon" in publications use:' type: software license: LGPL-3.0-or-later title: 'fable.bayesRecon: Bayesian Reconciliation in the ''fable'' Framework' version: 0.1.0 abstract: Implements the 'bayesRecon' probabilistic reconciliation methods within the 'fable' framework for hierarchical time series forecasting. Bayesian reconciliation (bayesRecon) methods are accessed via the 'reconcile' verb, following 'fable' conventions. For methodological background, see Corani et al. (2021) , Zambon et al. (2024a) , Zambon et al. (2024b) , and Carrara et al. (2025) . authors: - family-names: Azzimonti given-names: Dario email: dario.azzimonti@gmail.com orcid: https://orcid.org/0000-0001-5080-3061 - family-names: Damato given-names: Stefano email: stefano.damato@idsia.ch orcid: https://orcid.org/0009-0001-0225-3736 - family-names: Zambon given-names: Lorenzo email: lorenzo.zambon@idsia.ch orcid: https://orcid.org/0000-0002-8939-993X - family-names: Carrara given-names: Chiara email: chiara.carrara03@universitadipavia.it orcid: https://orcid.org/0009-0002-7349-6249 - family-names: Corani given-names: Giorgio email: giorgio.corani@idsia.ch orcid: https://orcid.org/0000-0002-1541-8384 repository: https://cran.r-universe.dev repository-code: https://github.com/dazzimonti/fable.bayesRecon commit: 772e37b0e6d84855c32fbb6fb8dfd56bfb26455d url: https://github.com/dazzimonti/fable.bayesRecon date-released: '2026-05-05' contact: - family-names: Azzimonti given-names: Dario email: dario.azzimonti@gmail.com orcid: https://orcid.org/0000-0001-5080-3061