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. Includes standard error estimation by bootstrapping.

Version: 0.1.0
Imports: data.table
Suggests: tibble, testthat, covr
Published: 2018-06-15
Author: Benjamin Elbers ORCID iD [aut, cre]
Maintainer: Benjamin Elbers <be2239 at columbia.edu>
BugReports: http://github.com/elbersb/segregation/issues
License: MIT + file LICENSE
URL: http://github.com/elbersb/segregation
NeedsCompilation: no
Materials: README NEWS
CRAN checks: segregation results

Downloads:

Reference manual: segregation.pdf
Package source: segregation_0.1.0.tar.gz
Windows binaries: r-devel: segregation_0.1.0.zip, r-release: segregation_0.1.0.zip, r-oldrel: segregation_0.1.0.zip
OS X binaries: r-release: segregation_0.1.0.tgz, r-oldrel: segregation_0.0.1.tgz
Old sources: segregation archive

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