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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "smooth" in publications use:'
type: software
license: LGPL-2.0-only
title: 'smooth: Forecasting Using State Space Models'
version: 4.5.0
doi: 10.32614/CRAN.package.smooth
abstract: Functions implementing Single Source of Error state space models for purposes
  of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2023,
  <https://openforecast.org/adam/>), Exponential Smoothing (Hyndman et al., 2008,
  <https://doi.org/10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <https://doi.org/
  10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes,
  2018, <https://doi.org/10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov
  & Petropoulos, 2018 <https://doi.org/10.1080/00207543.2017.1380326>) and several
  simulation functions. It also allows dealing with intermittent demand based on the
  iETS framework (Svetunkov & Boylan, 2019, <https://doi.org/10.13140/RG.2.2.35897.06242>).
authors:
- family-names: Svetunkov
  given-names: Ivan
  email: ivan@svetunkov.com
repository: https://openforecast-org.r-universe.dev
repository-code: https://github.com/config-i1/smooth
commit: 7cc63d8630d3ced02b26a230e3be2dd16880ba01
url: https://github.com/config-i1/smooth
date-released: '2026-06-19'
contact:
- family-names: Svetunkov
  given-names: Ivan
  email: ivan@svetunkov.com