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FoRecoML: Forecast Reconciliation with Machine Learning
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.
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Package details |
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| Author | Daniele Girolimetto [aut, cre] (ORCID: <https://orcid.org/0000-0001-9387-1232>), Yangzhuoran Fin Yang [aut] (ORCID: <https://orcid.org/0000-0002-1232-8017>), Jeroen Rombouts [aut] (ORCID: <https://orcid.org/0000-0003-2255-4875>), Ines Wilms [aut] (ORCID: <https://orcid.org/0000-0003-3269-4601>) |
| Maintainer | Daniele Girolimetto <daniele.girolimetto@unipd.it> |
| License | GPL (>= 3) |
| Version | 1.1.1 |
| URL | https://github.com/danigiro/FoRecoML https://danigiro.github.io/FoRecoML/ |
| Package repository | View on CRAN |
| Installation |
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