hts: Hierarchical and Grouped Time Series (original) (raw)
Provides methods for analysing and forecasting hierarchical and grouped time series. The available forecast methods include bottom-up, top-down, optimal combination reconciliation (Hyndman et al. 2011) <doi:10.1016/j.csda.2011.03.006>, and trace minimization reconciliation (Wickramasuriya et al. 2018) <doi:10.1080/01621459.2018.1448825>.
Version: | 6.0.3 |
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Depends: | R (≥ 3.2.0), forecast (≥ 8.12) |
Imports: | SparseM, Matrix, parallel, utils, methods, graphics, grDevices, stats |
LinkingTo: | Rcpp (≥ 0.11.0), RcppEigen |
Suggests: | testthat, rmarkdown, covr |
Published: | 2024-07-30 |
DOI: | 10.32614/CRAN.package.hts |
Author: | Rob Hyndman [aut] (Package creator), Alan Lee [aut] (Fast computation using recursive methods), Earo Wang [aut, cre], Shanika Wickramasuriya [aut] (Reconciliation via trace minimization) |
Maintainer: | Earo Wang <earo.wang at gmail.com> |
BugReports: | https://github.com/earowang/hts/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://pkg.earo.me/hts/ |
NeedsCompilation: | yes |
Materials: | README, NEWS |
In views: | TimeSeries |
CRAN checks: | hts results |
Documentation:
Downloads:
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