Package index

Core methods

Main inference procedures for hierarchical clustering, k-means clustering, and user-defined clustering algorithms.

test.clusters.hc()

Post-clustering inference after hierarchical clustering

test.clusters.km()

Post-clustering inference after k-means clustering

test.clusters.MC()

Post-clustering inference after any clustering algorithm

Utilities

Helper functions for covariance diagnostics and partition checks.

setup.model()

Set up data and dependence structures for clustering and testing

is.CS()

Check for compound symmetry

preserve.cl()

Check for equivalent partitions

ARI()

Adjusted Rand Index