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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 "GNAR" in publications use:'
type: software
license: GPL-2.0-only
title: 'GNAR: Methods for Fitting Network Time Series Models'
version: 1.1.3
doi: 10.18637/jss.v096.i05
identifiers:
- type: doi
  value: 10.32614/CRAN.package.GNAR
abstract: Simulation of, and fitting models for, Generalised Network Autoregressive
  (GNAR) time series models which take account of network structure, potentially with
  exogenous variables. Such models are described in Knight et al. (2020) <https://doi.org/10.18637/jss.v096.i05>
  and Nason and Wei (2021) <https://doi.org/10.1111/rssa.12875>. Diagnostic tools
  for GNAR(X) models can be found in Nason et al (2023) <arXiv:2312.00530>.
authors:
- family-names: Leeming
  given-names: Kathryn
- family-names: Nason
  given-names: Guy
  email: g.nason@imperial.ac.uk
- family-names: Nunes
  given-names: Matt
  email: nunesrpackages@gmail.com
- family-names: Wei
  given-names: James
- family-names: Salnikov
  given-names: Daniel
  email: d.salnikov22@imperial.ac.uk
preferred-citation:
  type: article
  title: Generalized Network Autoregressive Processes and the GNAR Package
  authors:
  - family-names: Knight
    given-names: Marina
    email: marina.knight@york.ac.uk
  - family-names: Leeming
    given-names: Kathryn
    email: kathryn.leeming@warwick.ac.uk
  - family-names: Nason
    given-names: Guy
    email: g.nason@imperial.ac.uk
  - family-names: Nunes
    given-names: Matthew
    email: m.a.nunes@bath.ac.uk
  journal: Journal of Statistical Software
  year: '2020'
  volume: '96'
  issue: '5'
  doi: 10.18637/jss.v096.i05
  start: '1'
  end: '36'
repository: https://CRAN.R-project.org/package=GNAR
date-released: '2023-12-16'
contact:
- family-names: Nunes
  given-names: Matt
  email: nunesrpackages@gmail.com