ari function

Compute the adjusted rand index (ARI) between two clusterings

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.

ari(z_star, z)

Arguments

• z_star: The true block membership
• z: The estimated block membership

Returns

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))