FoReco-package | R Documentation |
Classical (bottom-up and top-down), optimal combination and heuristic point (Di Fonzo and Girolimetto, 2023 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.ijforecast.2021.08.004")}) and probabilistic (Girolimetto et al. 2023 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.ijforecast.2023.10.003")}) forecast reconciliation procedures for linearly constrained time series (e.g., hierarchical or grouped time series) in cross-sectional, temporal, or cross-temporal frameworks.
Maintainer: Daniele Girolimetto daniele.girolimetto@unipd.it (ORCID) [funder]
Authors:
Tommaso Di Fonzo (ORCID) [funder]
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