segregation - Entropy-Based Segregation Indices
Computes segregation indices, including the Index of
Dissimilarity, as well as the information-theoretic indices
developed by Theil (1971) <isbn:978-0471858454>, namely the
Mutual Information Index (M) and Theil's Information Index (H).
The M, further described by Mora and Ruiz-Castillo (2011)
<doi:10.1111/j.1467-9531.2011.01237.x> and Frankel and Volij
(2011) <doi:10.1016/j.jet.2010.10.008>, is a measure of
segregation that is highly decomposable. The package provides
tools to decompose the index by units and groups (local
segregation), and by within and between terms. The package also
provides a method to decompose differences in segregation as
described by Elbers (2021) <doi:10.1177/0049124121986204>. The
package includes standard error estimation by bootstrapping,
which also corrects for small sample bias. The package also
contains functions for visualizing segregation patterns.
