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hts: Hierarchical and Grouped Time Series

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: 6.0.2
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, knitr, rmarkdown, covr
Published: 2021-05-30
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:

Reference manual: hts.pdf
Vignettes: The hts Package

Downloads:

Package source: hts_6.0.2.tar.gz
Windows binaries: r-devel: hts_6.0.2.zip, r-release: hts_6.0.2.zip, r-oldrel: hts_6.0.2.zip
macOS binaries: r-release (arm64): hts_6.0.2.tgz, r-oldrel (arm64): hts_6.0.2.tgz, r-release (x86_64): hts_6.0.2.tgz, r-oldrel (x86_64): hts_6.0.2.tgz
Old sources: hts archive

Reverse dependencies:

Reverse imports: finnts, thief
Reverse suggests: corset

Linking:

Please use the canonical form https://CRAN.R-project.org/package=hts 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.
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