segregation: segregation: Entropy-based segregation indices
In elbersb/mutual: Entropy-Based Segregation Indices
segregation R Documentation
segregation: Entropy-based segregation indices
Description
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(s)
Maintainer: Benjamin Elbers be2239@columbia.edu (ORCID)
See Also
elbersb/mutual documentation built on Feb. 12, 2024, 6:40 a.m.
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| segregation | R Documentation |
segregation: Entropy-based segregation indices
Description
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(s)
Maintainer: Benjamin Elbers be2239@columbia.edu (ORCID)
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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