Package: mutualinf 2.0.3

Cristian Angulo-Gonzalez

mutualinf: Computation and Decomposition of the Mutual Information Index

The Mutual Information Index (M) introduced to social science literature by Theil and Finizza (1971) <doi:10.1080/0022250X.1971.9989795> is a multigroup segregation measure that is highly decomposable and that according to Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008> and Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> satisfies the Strong Unit Decomposability and Strong Group Decomposability properties. This package allows computing and decomposing the total index value into its "between" and "within" terms. These last terms can also be decomposed into their contributions, either by group or unit characteristics. The factors that produce each "within" term can also be displayed at the user's request. The results can be computed considering a variable or sets of variables that define separate clusters.

Authors:Cristian Angulo-Gonzalez [aut, cre], Rafael Fuentealba-Chaura [aut], Ricardo Mora [aut], Julio Rojas-Mora [aut], FONDECYT/ANID Project 11170583 [fnd], MCIN/AEI/10.13039/501100011033 [fnd], UCT VIP Project FEQUIP2019-INRN-03 [fnd]

mutualinf_2.0.3.tar.gz
mutualinf_2.0.3.tar.gz(r-4.5-noble)mutualinf_2.0.3.tar.gz(r-4.4-noble)
mutualinf_2.0.3.tgz(r-4.4-emscripten)mutualinf_2.0.3.tgz(r-4.3-emscripten)
mutualinf.pdf |mutualinf.html
mutualinf/json (API)

# Install 'mutualinf' in R:
install.packages('mutualinf', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rafaelfuentealbac/mutualinf/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

openblascppopenmp

2.11 score 7 scripts 1.3k downloads 2 exports 4 dependencies

Last updated 13 days agofrom:03a23eb823. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 19 2025
R-4.5-linux-x86_64OKJan 19 2025

Exports:mutualprepare_data

Dependencies:data.tableRcppRcppArmadillorunner