The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite FoReco in publications, please use:
Girolimetto D, Di Fonzo T (2023). FoReco: Point Forecast Reconciliation. R package version 2.6, https://cran.r-project.org/package=FoReco.
Di Fonzo T, Girolimetto D (2023). “Cross-temporal forecast reconciliation: Optimal combination method and heuristic alternatives.” International Journal of Forecasting, 39(1), 134. doi:10.1016/j.ijforecast.2021.08.004.
Girolimetto D, Athanasopoulos G, Di Fonzo T, Hyndman R (2023). “Cross-temporal forecast reconciliation: Optimal combination method and heuristic alternatives.” arXiv. doi:10.48550/arXiv.2303.17277.
Corresponding BibTeX entries:
@Manual{, title = {FoReco: Point Forecast Reconciliation}, author = {Daniele Girolimetto and Tommaso {Di Fonzo}}, note = {R package version 2.6}, year = {2023}, url = {https://cran.r-project.org/package=FoReco}, }
@Article{, title = {Cross-temporal forecast reconciliation: Optimal combination method and heuristic alternatives}, author = {Tommaso {Di Fonzo} and Daniele Girolimetto}, journal = {International Journal of Forecasting}, volume = {39}, year = {2023}, number = {1}, pages = {134}, doi = {10.1016/j.ijforecast.2021.08.004}, }
@Article{, title = {Cross-temporal forecast reconciliation: Optimal combination method and heuristic alternatives}, author = {Daniele Girolimetto and George Athanasopoulos and Tommaso {Di Fonzo} and Rob J Hyndman}, journal = {arXiv}, year = {2023}, doi = {10.48550/arXiv.2303.17277}, }
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.