matrixtoGNAR

Converts an adjacency matrix to the <code>GNARnet</code> form for use as an input to GNAR functions.

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

matrixtoGNAR function

<dl><dt>input.mat</dt>
<dd>an adjacency matrix whose dimension equals the number of nodes in the resulting network.</dd></dl>

Arguments

Converts an adjacency matrix to GNAR network — matrixtoGNAR

<dl>

<dt>input.mat</dt>
<dd>an adjacency matrix whose dimension equals the number of nodes in the resulting network.</dd>

</dl>

matrixtoGNAR: Converts an adjacency matrix to GNAR network

Description

Usage

Value

Arguments

Details

Examples