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Calculate and decompose entropy-based, multigroup segregation indices, with a focus on the Mutual Information Index (M) and Theil's Information Index (H). Provides tools to decompose the measures by groups and units, and by within and between terms. Includes standard error estimation by bootstrapping.

Author

Maintainer: Benjamin Elbers be2239@columbia.edu (ORCID)