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

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

Compute the adjusted rand index (ARI) between two clusterings

Description

This function computes the adjusted rand index (ARI) of the true and estimated block membership (its definition can be found here https://en.wikipedia.org/wiki/Rand_index). 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.

Usage

ari(z_star, z)

Arguments

z_star	The true block membership
z	The estimated block membership

Value

The adjusted rand index

Examples

data(toyNet)
set.seed(123)
ari(z_star = toyNet%v% "block",
z = sample(c(1:4),size = 200,replace = TRUE))

bigergm documentation built on April 3, 2025, 7:57 p.m.