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