Package: hts
Title: Hierarchical and Grouped Time Series
Version: 5.1.0
Authors@R: c(
    person("Rob", "Hyndman", role = "aut"), 
    person("Alan", "Lee", role = "aut", comment = "Fast computation using recursive methods"),
    person("Earo", "Wang", email = "earo.wang@gmail.com", role = c("aut", "cre")),
    person("Shanika", "Wickramasuriya", role = c("ctb", "cph"), comment = "Forecasting via trace minimization")
    )
Description: Methods for analysing and forecasting hierarchical and grouped time
    series.
Depends: R (>= 3.0.2), forecast (>= 8.1)
Imports: SparseM, Matrix, matrixcalc, parallel, utils, methods,
        graphics, grDevices, stats
Suggests: testthat, knitr, rmarkdown
LinkingTo: Rcpp (>= 0.11.0), RcppEigen
LazyLoad: yes
LazyData: yes
ByteCompile: TRUE
URL: https://pkg.earo.me/hts, https://github.com/earowang/hts
BugReports: https://github.com/earowang/hts/issues
License: GPL (>= 2)
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-06-18 10:52:58 UTC; earo
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@gmail.com>
Repository: CRAN
Date/Publication: 2017-06-18 13:35:16 UTC
