This function computes the adjusted rand index (ARI) of the true and estimated block membership (its definition can be found here <a href="https://en.wikipedia.org/wiki/Rand_index">https://en.wikipedia.org/wiki/Rand_index</a>).
The adjusted rand index is used as a measure of association between two group membership vectors.
The more similar the two partitions z_star and z are, the closer the ARI is to 1.

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

ari function

<dl><dt>z_star</dt>
<dd>The true block membership</dd>
<dt>z</dt>
<dd>The estimated block membership</dd></dl>

Arguments

This function computes the adjusted rand index (ARI) of the true and estimated block membership (its definition can be found here <a href='https://en.wikipedia.org/wiki/Rand_index'>https://en.wikipedia.org/wiki/Rand_index</a>).
The adjusted rand index is used as a measure of association between two group membership vectors.
The more similar the two partitions z_star and z are, the closer the ARI is to 1.

Compute the adjusted rand index (ARI) between two clusterings — ari

<dl>

<dt>z_star</dt>
<dd>The true block membership</dd>


<dt>z</dt>
<dd>The estimated block membership</dd>

</dl>

ari: Compute the adjusted rand index (ARI) between two clusterings

Description

Usage

Value

Arguments

Examples