Package: legion Type: Package Title: Forecasting Using Multivariate Models Version: 0.2.1 Date: 2025-02-03 Authors@R: c(person("Ivan", "Svetunkov", email = "ivan@svetunkov.com", role = c("aut", "cre"), comment="Senior Lecturer, Centre for Marketing Analytics and Forecasting, Lancaster University, UK"), person("Kandrika Fadhlan", "Pritularga", email = "k.pritularga@lancaster.ac.uk", role = c("aut"), comment="Lecturer, Centre for Marketing Analytics and Forecasting, Lancaster University, UK")) URL: https://github.com/config-i1/legion BugReports: https://github.com/config-i1/legion/issues Language: en-GB Description: Functions implementing multivariate state space models for purposes of time series analysis and forecasting. The focus of the package is on multivariate models, such as Vector Exponential Smoothing, Vector ETS (Error-Trend-Seasonal model) etc. It currently includes Vector Exponential Smoothing (VES, de Silva et al., 2010, ), Vector ETS (Svetunkov et al., 2023, ) and simulation function for VES. License: LGPL-2.1 Depends: R (>= 3.5.0), greybox (>= 1.0.4), smooth (>= 3.1.0) Imports: Rcpp (>= 0.12.3), stats, generics (>= 0.1.2), graphics, grDevices, Matrix, nloptr, utils, zoo LinkingTo: Rcpp, RcppArmadillo (>= 0.8.100.0.0) Suggests: numDeriv, testthat, knitr, rmarkdown, doMC, doParallel, foreach VignetteBuilder: knitr RoxygenNote: 7.3.2 Encoding: UTF-8 NeedsCompilation: yes Packaged: 2026-10-28 11:19:15 UTC; root Author: Ivan Svetunkov [aut, cre] (Senior Lecturer, Centre for Marketing Analytics and Forecasting, Lancaster University, UK), Kandrika Fadhlan Pritularga [aut] (Lecturer, Centre for Marketing Analytics and Forecasting, Lancaster University, UK) Maintainer: Ivan Svetunkov Repository: https://cran.r-universe.dev Date/Publication: 2025-02-03 16:10:02 UTC RemoteUrl: https://github.com/cran/legion RemoteRef: HEAD RemoteSha: a4b7ef553faadcd735f7454745bfedb8223efddd