Computes entropy-based segregation indices, with a focus on the mutual information index (M). The M is a measure of segregation that is highly decomposable. Provides tools to decompose the index by units and groups, and by within and between terms. Includes standard error estimation by bootstrapping.
mutual_total Computes M.
mutual_local Computes local segregation based on M.
mutual_difference Decomposes difference between two M indices.