<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Methods for Fitting Network Time Series Models</dc:title>
  <dc:title>R package GNAR version 1.1.4</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc: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) &lt;doi:10.18637/jss.v096.i05&gt; and Nason and Wei (2021) &lt;doi:10.1111/rssa.12875&gt;.  Diagnostic tools for GNAR(X) models can be found in Nason et al. (2023) &lt;doi:10.48550/arXiv.2312.00530&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R(&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: ggforce, ggplot2, ggpubr, grid, igraph, matrixcalc, rlang,
stats, viridis, wordcloud</dc:relation>
  <dc:creator>Matt Nunes &lt;nunesrpackages@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Kathryn Leeming [aut],
  Guy Nason [aut],
  Matt Nunes [aut, cre],
  Marina Knight [ctb],
  James Wei [aut],
  Daniel Salnikov [aut],
  Mario Cortina Borja [ctb]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2024-10-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GNAR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GNAR</dc:identifier>
</oai_dc:dc>
