segregation: Entropy-Based Segregation Indices

Computes entropy-based segregation indices, as developed by Theil (1971) <isbn:978-0471858454>, with a focus on 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> Includes standard error estimation by bootstrapping.

Version: 0.5.0
Imports: data.table
Suggests: testthat, covr, knitr, rmarkdown
Published: 2021-02-08
Author: Benjamin Elbers ORCID iD [aut, cre]
Maintainer: Benjamin Elbers <be2239 at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: segregation results


Reference manual: segregation.pdf
Vignettes: A walkthrough of the segregation package
Package source: segregation_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): segregation_0.5.0.tgz, r-release (x86_64): segregation_0.5.0.tgz, r-oldrel: segregation_0.5.0.tgz
Old sources: segregation archive


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