FoReco and FoRecoML: A Unified Toolbox for Forecast Reconciliation in R

Fuente: arXiv

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Bibliographic Details
Main Authors:	Girolimetto, Daniele, Rombouts, Jeroen, Wilms, Ines, Yang, Yangzhuoran Fin
Format:	Preprint
Published:	2026
Subjects:	Computation Applications Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2604.27696