Package: segregation Type: Package Title: Entropy-Based Segregation Indices Version: 1.1.0.9000 Authors@R: person("Benjamin", "Elbers", email = "be2239@columbia.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5392-3448")) Description: Computes segregation indices, including the Index of Dissimilarity, as well as the information-theoretic indices developed by Theil (1971) , namely the Mutual Information Index (M) and Theil's Information Index (H). The M, further described by Mora and Ruiz-Castillo (2011) and Frankel and Volij (2011) , 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) . The package includes standard error estimation by bootstrapping, which also corrects for small sample bias. The package also contains functions for visualizing segregation patterns. License: MIT + file LICENSE Depends: R (>= 3.5.0) Imports: data.table, checkmate, Rcpp, RcppProgress, Encoding: UTF-8 LazyData: true Suggests: testthat, covr, knitr, rmarkdown, dplyr, ggplot2, scales, tidycensus, tigris, rrapply, dendextend, patchwork URL: https://elbersb.github.io/segregation/ BugReports: https://github.com/elbersb/segregation/issues RoxygenNote: 7.3.2 VignetteBuilder: knitr SystemRequirements: C++17 LinkingTo: Rcpp, RcppProgress Repository: https://elbersb.r-universe.dev Date/Publication: 2025-12-12 08:52:04 UTC RemoteUrl: https://github.com/elbersb/segregation RemoteRef: HEAD RemoteSha: 510a3692c7f564f25f9238a54534db61037b7716 NeedsCompilation: yes Packaged: 2026-06-10 08:10:40 UTC; root Author: Benjamin Elbers [aut, cre] (ORCID: ) Maintainer: Benjamin Elbers