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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "uGMAR" in publications use:'
type: software
license: GPL-3.0-only
title: 'uGMAR: Estimate Univariate Gaussian and Student''s t Mixture Autoregressive
  Models'
version: 3.5.1
doi: 10.32614/CRAN.package.uGMAR
abstract: Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive
  (GMAR), Student's t Mixture Autoregressive (StMAR), and Gaussian and Student's t
  Mixture Autoregressive (G-StMAR) models, quantile residual tests, graphical diagnostics,
  forecast and simulate from GMAR, StMAR and G-StMAR processes. Leena Kalliovirta,
  Mika Meitz, Pentti Saikkonen (2015) <https://doi.org/10.1111/jtsa.12108>, Mika Meitz,
  Daniel Preve, Pentti Saikkonen (2023) <https://doi.org/10.1080/03610926.2021.1916531>,
  Savi Virolainen (2022) <https://doi.org/10.1515/snde-2020-0060>.
authors:
- family-names: Virolainen
  given-names: Savi
  email: savi.virolainen@helsinki.fi
  orcid: https://orcid.org/0000-0002-5075-6821
repository: https://CRAN.R-project.org/package=uGMAR
repository-code: https://github.com/saviviro/uGMAR
url: https://github.com/saviviro/uGMAR
date-released: '2024-12-04'
contact:
- family-names: Virolainen
  given-names: Savi
  email: savi.virolainen@helsinki.fi
  orcid: https://orcid.org/0000-0002-5075-6821