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) <doi:10.18637/jss.v096.i05> and Nason and Wei (2021) <doi:10.1111/rssa.12875>. Diagnostic tools for GNAR(X) models can be found in Nason et al. (2023) <doi:10.48550/arXiv.2312.00530>.
Version: 1.1.4 Depends: R (≥ 3.5.0) Imports: ggforce, ggplot2, ggpubr, grid, igraph, matrixcalc, rlang, stats, viridis, wordcloud Published: 2024-10-02 DOI: 10.32614/CRAN.package.GNAR Author: Kathryn Leeming [aut], Guy Nason [aut], Matt Nunes [aut, cre], Marina Knight [ctb], James Wei [aut], Daniel Salnikov [aut], Mario Cortina Borja [ctb] Maintainer: Matt Nunes <nunesrpackages at gmail.com> License: GPL-2 NeedsCompilation: no Citation: GNAR citation info In views: TimeSeries CRAN checks: GNAR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=GNAR to link to this page.
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