GNARtoigraph

Takes an input network and neighbour stage and returns it in <a href="/link/igraph?package=GNAR&version=1.1.4" data-mini-rdoc="GNAR::igraph">igraph</a> form.

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>.

Matt Nunes

GNAR

Methods for Fitting Network Time Series Models

Kathryn Leeming

Guy Nason

Marina Knight

James Wei

Daniel Salnikov

Mario Cortina Borja

GNARtoigraph function

<dl><dt>net</dt>
<dd>a GNARnet object containing <code>$edges</code> and <code>dist</code>.</dd><dt>stage</dt>
<dd>the neighbour set that the adjacency matrix is created for.</dd><dt>normalise</dt>
<dd>whether to normalise each to non-zero row to have sum one.</dd></dl>

Arguments

Takes an input network and neighbour stage and returns it in <a href='https://rdrr.io/pkg/igraph/man/aaa-igraph-package.html'>igraph</a> form.

Converts a GNAR network to a weighted igraph object — GNARtoigraph

<dl>

<dt>net</dt>
<dd>a GNARnet object containing <code>$edges</code> and <code>dist</code>.</dd>

<dt>stage</dt>
<dd>the neighbour set that the adjacency matrix is created for.</dd>

<dt>normalise</dt>
<dd>whether to normalise each to non-zero row to have sum one.</dd>

</dl>

GNARtoigraph: Converts a GNAR network to a weighted igraph object

Description

Usage

Value

Arguments

Details

Examples