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FoRecoML  

Forecast Reconciliation with Machine Learning
View on CRAN: Click here


Download and install FoRecoML package within the R console
Install from CRAN:
install.packages("FoRecoML")

Install from Github:
library("remotes")
install_github("cran/FoRecoML")

Install by package version:
library("remotes")
install_version("FoRecoML", "1.0.0")



Attach the package and use:
library("FoRecoML")
Maintained by
Daniele Girolimetto
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
Nonlinear forecast reconciliation with machine learning in cross-sectional (Spiliotis et al. 2021 <doi:10.1016/j.asoc.2021.107756>), temporal, and cross-temporal (Rombouts et al. 2024 <doi:10.1016/j.ijforecast.2024.05.008>) frameworks.
How to cite:
Daniele Girolimetto (2026). FoRecoML: Forecast Reconciliation with Machine Learning. R package version 1.0.0, https://cran.r-project.org/web/packages/FoRecoML. Accessed 07 Aug. 2026.
Previous versions and publish date:
1.0.0 (2026-04-21 11:12), 1.1.0 (2026-06-23 12:30), (2026-07-09 19:20)
Other packages that cited FoRecoML R package
View FoRecoML citation profile
Other R packages that FoRecoML depends, imports, suggests or enhances
Complete documentation for FoRecoML
Functions, R codes and Examples using the FoRecoML R package
Full FoRecoML package functions and examples
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