seedToNet

Produces a reproducible undirected Erdos-Reyni random network using a particular seed value.

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

seedToNet function

<dl><dt>seed.no</dt>
<dd>a valid number to set the seed to.</dd><dt>nnodes</dt>
<dd>the number of nodes in the produced network.</dd><dt>graph.prob</dt>
<dd>the probability that each pair of nodes is connected.</dd></dl>

Arguments

Produces a random network from a seed value — seedToNet

<dl>

<dt>seed.no</dt>
<dd>a valid number to set the seed to.</dd>

<dt>nnodes</dt>
<dd>the number of nodes in the produced network.</dd>

<dt>graph.prob</dt>
<dd>the probability that each pair of nodes is connected.</dd>

</dl>

seedToNet: Produces a random network from a seed value

Description

Usage

Value

Arguments

Details

Examples