The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

htsDegenerateR

htsDegenerateR adapts the original hts library implementation of the trace minimization algorithm originally proposed by Wickramasuriya et al..

This library can be installed using:

devtools::install_github("lsteinmeister/htsDegenerateR“)

For more details, see Steinmeister et al..

Citation

Please cite this library as follows:

Steinmeister, L., & Pauly, M. (2024). Degenerate Hierarchical Time Series Reconciliation With The Minimum Trace Algorithm in R. In D. Herberger & M. Hübner (Eds.), Proceedings of the Conference on Production Systems and Logistics: CPSL. publish-Ing. https://doi.org/https://doi.org/10.15488/17729

References

Steinmeister, L., & Pauly, M. (2024). Degenerate Hierarchical Time Series Reconciliation With The Minimum Trace Algorithm in R. In D. Herberger & M. Hübner (Eds.), Proceedings of the Conference on Production Systems and Logistics: CPSL. publish-Ing. https://doi.org/https://doi.org/10.15488/17729

Wickramasuriya, S. L., Athanasopoulos, G., & Hyndman, R. J. (2019). Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization. Journal of the American Statistical Association, 114(526), 804–819. https://doi.org/10.1080/01621459.2018.1448825

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.
Health stats visible at Monitor.