Package: GNAR
Type: Package
Title: Methods for Fitting Network Time Series Models
Version: 1.1.4
Date: 2024-09-23
Author: Kathryn Leeming [aut], Guy Nason [aut], Matt Nunes [aut, cre],
        Marina Knight [ctb], James Wei [aut], Daniel Salnikov [aut],
        Mario Cortina Borja [ctb]
Authors@R: c(person("Kathryn", "Leeming", role="aut"), person("Guy","Nason",role="aut", email="g.nason@imperial.ac.uk"), person("Matt",
        "Nunes", role=c("aut","cre"),email="nunesrpackages@gmail.com"), person("Marina","Knight",role="ctb"), person("James", "Wei", role="aut"), person("Daniel", "Salnikov",
        role=c("aut"),email="d.salnikov22@imperial.ac.uk"), person("Mario", "Cortina Borja", role=c("ctb"),email="m.cortina@ucl.ac.uk"))
Maintainer: Matt Nunes <nunesrpackages@gmail.com>
Description: 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>.
Depends: R(>= 3.5.0)
Imports: ggforce, ggplot2, ggpubr, grid, igraph, matrixcalc, rlang,
        stats, viridis, wordcloud
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-25 07:11:36 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2024-10-03 02:59:45 UTC
RemoteUrl: https://github.com/cran/GNAR
RemoteRef: HEAD
RemoteSha: 93f1211efc5e495b1afa118cb1bc45d2a637f8b0