Package: hts
Title: Hierarchical and Grouped Time Series
Version: 5.1.5
Authors@R: c(
    person("Rob", "Hyndman", role = "aut", comment = "Package creator"), 
    person("Alan", "Lee", role = "aut", comment = "Fast computation using recursive methods"),
    person("Earo", "Wang", role = c("aut", "cre"), email = "earo.wang@gmail.com"),
    person("Shanika", "Wickramasuriya", role = "aut", comment = "Reconciliation via trace minimization")
    )
Description: 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>.
Depends: R (>= 3.2.0), 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: http://pkg.earo.me/hts
BugReports: https://github.com/earowang/hts/issues
License: GPL (>= 2)
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-03-26 01:20:53 UTC; earo
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@gmail.com>
Repository: CRAN
Date/Publication: 2018-03-26 07:36:50 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 21:39:29 UTC; windows
Archs: i386, x64
