toyNet

This network has a clear cluster structure.
The number of clusters is four, and which cluster each node belongs to is defined in the variable "block".

A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.

Cornelius Fritz

bigergm

Fit, Simulate, and Diagnose Hierarchical Exponential-Family
Models for Big Networks

Michael Schweinberger

Shota Komatsu

Juan Nelson Martínez Dahbura

Takanori Nishida

Angelo Mele

toyNet function

A <code>statnet</code>'s network class object. It has three nodal features.<dl>
<dt>block</dt>
<dd>block membership of each node</dd><dt>x</dt>
<dd>a covariate. It has 10 labels.</dd><dt>y</dt>
<dd>a covariate. It has 10 labels.</dd>...</dl><code>1</code> and <code>2</code> are not variables with any particular meaning.

Format

A toy network to play bigergm with. — toyNet

A <code>statnet</code>'s network class object. It has three nodal features.<dl>
<dt>block</dt>
<dd>block membership of each node</dd>

<dt>x</dt>
<dd>a covariate. It has 10 labels.</dd>

<dt>y</dt>
<dd>a covariate. It has 10 labels.</dd>

...

</dl><code>1</code> and <code>2</code> are not variables with any particular meaning.

toyNet: A toy network to play `bigergm` with.

Description

Usage

Arguments

Format