Package: hts
Title: Hierarchical and Grouped Time Series
Version: 6.0.3
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 (>= 8.12)
Imports: SparseM, Matrix, parallel, utils, methods, graphics,
        grDevices, stats
Suggests: testthat, rmarkdown, covr
LinkingTo: Rcpp (>= 0.11.0), RcppEigen
LazyLoad: yes
LazyData: yes
ByteCompile: TRUE
URL: https://pkg.earo.me/hts/
BugReports: https://github.com/earowang/hts/issues
License: GPL (>= 2)
RoxygenNote: 7.2.3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-07-30 12:57:59 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: 2024-07-30 13:20:05 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2026-02-04 04:55:25 UTC; windows
Archs: x64
