Package: smooth Type: Package Title: Forecasting Using State Space Models Version: 4.5.0 Date: 2026-06-19 Authors@R: person("Ivan", "Svetunkov", email = "ivan@svetunkov.com", role = c("aut", "cre"), comment="Senior Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK") URL: https://github.com/config-i1/smooth BugReports: https://github.com/config-i1/smooth/issues Language: en-GB Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2023, ), Exponential Smoothing (Hyndman et al., 2008, ), SARIMA (Svetunkov & Boylan, 2019 ), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, ), Simple Moving Average (Svetunkov & Petropoulos, 2018 ) and several simulation functions. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2019, ). License: LGPL-2.1 Depends: R (>= 3.0.2), greybox (>= 2.0.2) Imports: Rcpp (>= 0.12.3), stats, generics (>= 0.1.2), graphics, grDevices, methods, statmod, MASS, nloptr, utils, xtable, zoo LinkingTo: Rcpp, RcppArmadillo (>= 0.8.100.0.0) Suggests: legion, numDeriv, testthat, knitr, rmarkdown, doMC, doParallel, foreach VignetteBuilder: knitr Encoding: UTF-8 Roxygen: list(old_usage = TRUE) ByteCompile: true Config/roxygen2/version: 8.0.0 RoxygenNote: 8.0.0 Config/pak/sysreqs: cmake texlive libssl-dev Repository: https://openforecast-org.r-universe.dev Date/Publication: 2026-07-17 09:07:53 UTC RemoteUrl: https://github.com/openforecast-org/smooth RemoteRef: HEAD RemoteSha: 7cc63d8630d3ced02b26a230e3be2dd16880ba01 NeedsCompilation: yes Packaged: 2026-07-17 09:38:09 UTC; root Author: Ivan Svetunkov [aut, cre] (Senior Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK) Maintainer: Ivan Svetunkov