Cluster Baskets Based on the Posterior Exchangeabilities

Description

This is the default function used to cluster cohorts in the basket, mem_mcmc, and mem_exact functions. The approach creates a graph where each vertex is a cohort and the weight between two cohorts is determined by their posterior exchangeability probability. The graph is then clustered using igraph's louvain function, which determines the number of clusters and the cluster memberships, and has been shown to perform well with real clinical data.

Usage

cluster_membership(m)


Arguments

 m the adjacency matrix.

Value

A factor variable with cluster memberships for each cohort in the study.