ARI: Adjusted Rand Index (ARI)

In ppsbm: Clustering in Longitudinal Networks

Description

Compute the Adjusted Rand Index (ARI) between the true latent variables and the estimated latent variables

Usage

ARI(z, hat.z)

Arguments

z	Matrix of size Q \times n with entries = 0 or 1 : 'true' latent variables
hat.z	Matrix of Q \times n with 0<entries<1 : estimated latent variables

Examples

z <- matrix(c(1,1,0,0,0,0, 0,0,1,1,0,0, 0,0,0,0,1,1), nrow = 3, byrow = TRUE)
hat.z <- matrix(c(0,0,1,1,0,0, 1,1,0,0,0,0, 0,0,0,0,1,1), nrow = 3, byrow = TRUE)

ARI(z, hat.z)

ppsbm documentation built on March 19, 2018, 5:03 p.m.