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) , and trace minimization reconciliation (Wickramasuriya et al. 2018) . 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 Roxygen: list(markdown = TRUE, roclets=c('rd', 'collate', 'namespace')) Encoding: UTF-8 Repository: https://earowang.r-universe.dev Date/Publication: 2024-12-24 23:52:26 UTC RemoteUrl: https://github.com/earowang/hts RemoteRef: HEAD RemoteSha: 7e084148990e49955655b9d0f599857fdddd58f4 NeedsCompilation: yes Packaged: 2026-06-01 07:03:39 UTC; root 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