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.
Provides methods for probabilistic reconciliation of hierarchical forecasts of time series. The available methods include analytical Gaussian reconciliation (Corani et al., 2021) <doi:10.1007/978-3-030-67664-3_13>, MCMC reconciliation of count time series (Corani et al., 2024) <doi:10.1016/j.ijforecast.2023.04.003>, Bottom-Up Importance Sampling (Zambon et al., 2024) <doi:10.1007/s11222-023-10343-y>, methods for the reconciliation of mixed hierarchies (Mix-Cond and TD-cond) (Zambon et al., 2024. The 40th Conference on Uncertainty in Artificial Intelligence, accepted).
Version: | 0.3.2 |
Depends: | R (≥ 4.1.0) |
Imports: | stats, utils, lpSolve (≥ 5.6.18) |
Suggests: | knitr, rmarkdown, forecast, glarma, scoringRules, testthat (≥ 3.0.0) |
Published: | 2024-11-04 |
DOI: | 10.32614/CRAN.package.bayesRecon |
Author: | Dario Azzimonti [aut, cre], Nicolò Rubattu [aut], Lorenzo Zambon [aut], Giorgio Corani [aut] |
Maintainer: | Dario Azzimonti <dario.azzimonti at gmail.com> |
BugReports: | https://github.com/IDSIA/bayesRecon/issues |
License: | LGPL (≥ 3) |
URL: | https://github.com/IDSIA/bayesRecon |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | TimeSeries |
CRAN checks: | bayesRecon results |
Package source: | bayesRecon_0.3.2.tar.gz |
Windows binaries: | r-devel: bayesRecon_0.3.2.zip, r-release: bayesRecon_0.3.2.zip, r-oldrel: bayesRecon_0.3.2.zip |
macOS binaries: | r-release (arm64): bayesRecon_0.3.2.tgz, r-oldrel (arm64): bayesRecon_0.3.2.tgz, r-release (x86_64): bayesRecon_0.3.2.tgz, r-oldrel (x86_64): bayesRecon_0.3.2.tgz |
Old sources: | bayesRecon archive |
Please use the canonical form https://CRAN.R-project.org/package=bayesRecon to link to this page.
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.