FoReco: Forecast Reconciliation

Classical (bottom-up and top-down), optimal and heuristic combination forecast point (Di Fonzo and Girolimetto, 2023) <doi:10.1016/j.ijforecast.2021.08.004> and probabilistic (Girolimetto et al. 2023) <doi:10.48550/arXiv.2303.17277> reconciliation procedures for cross-sectional, temporal, and cross-temporal linearly constrained time series.

Version: 0.2.6
Depends: R (≥ 2.10), Matrix, osqp, stats
Imports: cli, corpcor, methods, mathjaxr
Suggests: knitr, rmarkdown
Published: 2023-05-16
Author: Daniele Girolimetto ORCID iD [aut, cre, fnd], Tommaso Di Fonzo ORCID iD [aut, fnd]
Maintainer: Daniele Girolimetto <daniele.girolimetto at phd.unipd.it>
BugReports: https://github.com/daniGiro/FoReco/issues
License: GPL-3
URL: https://github.com/daniGiro/FoReco, https://danigiro.github.io/FoReco/
NeedsCompilation: no
Citation: FoReco citation info
Materials: README NEWS
In views: TimeSeries
CRAN checks: FoReco results

Documentation:

Reference manual: FoReco.pdf
Vignettes: Using the 'FoReco' package
Average relative accuracy indices

Downloads:

Package source: FoReco_0.2.6.tar.gz
Windows binaries: r-devel: FoReco_0.2.6.zip, r-release: FoReco_0.2.6.zip, r-oldrel: FoReco_0.2.6.zip
macOS binaries: r-release (arm64): FoReco_0.2.6.tgz, r-oldrel (arm64): FoReco_0.2.6.tgz, r-release (x86_64): FoReco_0.2.6.tgz
Old sources: FoReco archive

Linking:

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