# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "FoCo2" in publications use:' type: software license: GPL-3.0-only title: 'FoCo2: Coherent Forecast Combination for Linearly Constrained Multiple Time Series' version: 0.1.3.9000 doi: 10.32614/CRAN.package.FoCo2 abstract: Methods and tools designed to improve the forecast accuracy for a linearly constrained multiple time series, while fulfilling the linear/aggregation relationships linking the components (Girolimetto and Di Fonzo, 2024 ). 'FoCo2' offers multi-task forecast combination and reconciliation approaches leveraging input from multiple forecasting models or experts and ensuring that the resulting forecasts satisfy specified linear constraints. In addition, linear inequality constraints (e.g., non-negativity of the forecasts) can be imposed, if needed. authors: - family-names: Girolimetto given-names: Daniele email: daniele.girolimetto@unipd.it orcid: https://orcid.org/0000-0001-9387-1232 - family-names: Di Fonzo given-names: Tommaso orcid: https://orcid.org/0000-0003-3388-7827 repository: https://danigiro.r-universe.dev repository-code: https://github.com/danigiro/FoCo2 commit: 605c8ef7842151d207ed570da383fbf408373ad3 url: https://danigiro.github.io/FoCo2/ date-released: '2026-03-15' contact: - family-names: Girolimetto given-names: Daniele email: daniele.girolimetto@unipd.it orcid: https://orcid.org/0000-0001-9387-1232