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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 "muse" in publications use:'
type: software
license: LGPL-2.0-only
title: 'muse: Multiple Unobserved Sources of Error State Space Models'
version: 0.1.0
doi: 10.32614/CRAN.package.muse
abstract: Implements the Power / Trend / Seasonal (PTS) model, a unified state-space
  framework based on the Multiple Source of Error (MSOE) model. It brings the trend,
  seasonal and irregular component models of Harvey (1989) <https://doi.org/10.1017/CBO9781107049994>,
  Durbin and Koopman (2012) <https://doi.org/10.1093/acprof:oso/9780199641178.001.0001>,
  Proietti (2000) <https://doi.org/10.1016/S0169-2070(00)00037-6>, Sbrana and Silvestrini
  (2023) <https://doi.org/10.1016/j.ijforecast.2022.03.003> and others together under
  a single estimation, selection and forecasting interface, with an optional Box-Cox
  power transformation. Models are estimated by maximum likelihood through the Kalman
  filter and smoother, with automatic component selection by information criteria.
authors:
- family-names: Pedregal
  given-names: Diego J.
  email: Diego.Pedregal@uclm.es
  orcid: https://orcid.org/0000-0003-4958-0969
- family-names: Svetunkov
  given-names: Ivan
  email: ivan@svetunkov.com
  orcid: https://orcid.org/0000-0001-7826-0281
repository: https://cran.r-universe.dev
repository-code: https://github.com/config-i1/muse
commit: 33842499975e6db7f72bb7199d10b077ede62767
url: https://github.com/config-i1/muse
date-released: '2026-06-26'
contact:
- family-names: Svetunkov
  given-names: Ivan
  email: ivan@svetunkov.com
  orcid: https://orcid.org/0000-0001-7826-0281