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:	6.0.3
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:

Reference manual:

hts.html , hts.pdf

Downloads:

Package source:	hts_6.0.3.tar.gz
Windows binaries:	r-devel: hts_6.0.3.zip, r-release: hts_6.0.3.zip, r-oldrel: hts_6.0.3.zip
macOS binaries:	r-release (arm64): hts_6.0.3.tgz, r-oldrel (arm64): hts_6.0.3.tgz, r-release (x86_64): hts_6.0.3.tgz, r-oldrel (x86_64): hts_6.0.3.tgz
Old sources:	hts archive

Reverse dependencies:

Reverse imports:	finnts, thief
Reverse suggests:	corset

Linking:

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