Package: smooth Type: Package Title: Forecasting Using State Space Models Version: 4.6.0.41001 Date: 2026-09-21 Authors@R: person("Ivan", "Svetunkov", email = "ivan@svetunkov.com", role = c("aut", "cre"), comment = c("Director of the OpenForecast consultancy company, UK", ORCID = "0000-0001-7826-0281")) URL: https://openforecast.org/packages/ BugReports: https://github.com/openforecast-org/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 (>= 2.0.9) 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: 8.1.0 Config/pak/sysreqs: cmake texlive libssl-dev Repository: https://openforecast-org.r-universe.dev Date/Publication: 2026-10-15 20:58:28 UTC RemoteUrl: https://github.com/openforecast-org/smooth RemoteRef: HEAD RemoteSha: 54bc53dd7cbc67dad837d4db2646443ccca9d73a NeedsCompilation: yes Packaged: 2026-10-15 23:20:12 UTC; root Author: Ivan Svetunkov [aut, cre] (Director of the OpenForecast consultancy company, UK, ORCID: ) Maintainer: Ivan Svetunkov