hts: Hierarchical and Grouped Time Series

Methods for analysing and forecasting hierarchical and grouped time series.

Version: 5.1.4
Depends: R (≥ 3.0.2), forecast (≥ 8.1)
Imports: SparseM, Matrix, matrixcalc, parallel, utils, methods, graphics, grDevices, stats
LinkingTo: Rcpp (≥ 0.11.0), RcppEigen
Suggests: testthat, knitr, rmarkdown
Published: 2017-06-21
Author: Rob Hyndman [aut], Alan Lee [aut] (Fast computation using recursive methods), Earo Wang [aut, cre], Shanika Wickramasuriya [ctb, cph] (Forecasting 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: http://pkg.earo.me/hts, https://github.com/earowang/hts
NeedsCompilation: yes
Materials: README NEWS
In views: TimeSeries
CRAN checks: hts results

Downloads:

Reference manual: hts.pdf
Vignettes: The hts Package
Package source: hts_5.1.4.tar.gz
Windows binaries: r-devel: hts_5.1.4.zip, r-release: hts_5.1.4.zip, r-oldrel: hts_5.1.4.zip
OS X El Capitan binaries: r-release: hts_5.1.0.tgz
OS X Mavericks binaries: r-oldrel: hts_5.1.4.tgz
Old sources: hts archive

Reverse dependencies:

Reverse depends: gtop
Reverse imports: thief
Reverse suggests: corset

Linking:

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