Classical (bottom-up and top-down), optimal combination and heuristic point (Di Fonzo and Girolimetto, 2023 <doi:10.1016/j.ijforecast.2021.08.004>) and probabilistic (Girolimetto et al. 2024 <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.
Version: 1.1.0 Depends: R (≥ 3.4), Matrix Imports: methods, osqp, stats, cli Suggests: testthat (≥ 3.0.0) Published: 2025-06-07 DOI: 10.32614/CRAN.package.FoReco Author: Daniele Girolimetto [aut, cre, fnd], Tommaso Di Fonzo [aut, fnd] Maintainer: Daniele Girolimetto <daniele.girolimetto at unipd.it> BugReports: https://github.com/danigiro/FoReco/issues License: GPL-3 URL: https://github.com/danigiro/FoReco, https://danigiro.github.io/FoReco/, https://github.com/danigiro/FoReco NeedsCompilation: no Citation: FoReco citation info Materials: README, NEWS In views: TimeSeries CRAN checks: FoReco results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=FoReco to link to this page.
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