FoCo2: Coherent Forecast Combination for Linearly Constrained Multiple Time Series

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 <doi:10.48550/arXiv.2412.03429>). '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.

Package details

AuthorDaniele Girolimetto [aut, cre, fnd, cph] (ORCID: <https://orcid.org/0000-0001-9387-1232>), Tommaso Di Fonzo [aut, fnd] (ORCID: <https://orcid.org/0000-0003-3388-7827>)
MaintainerDaniele Girolimetto <daniele.girolimetto@unipd.it>
LicenseGPL (>= 3)
Version0.1.2
URL https://github.com/danigiro/FoCo2/ https://danigiro.github.io/FoCo2/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FoCo2")

Try the FoCo2 package in your browser

Any scripts or data that you put into this service are public.

FoCo2 documentation built on June 14, 2025, 9:07 a.m.