Package: giniVarCI 0.0.1-3

giniVarCI: Gini Indices, Variances and Confidence Intervals for Finite and Infinite Populations

Estimates the Gini index and computes variances and confidence intervals for finite and infinite populations, using different methods; also computes Gini index for continuous probability distributions, draws samples from continuous probability distributions with Gini indices set by the user; uses 'Rcpp'. References: Muñoz et al. (2023) <doi:10.1177/00491241231176847>. Álvarez et al. (2021) <doi:10.3390/math9243252>. Giorgi and Gigliarano (2017) <doi:10.1111/joes.12185>. Langel and Tillé (2013) <doi:10.1111/j.1467-985X.2012.01048.x>.

Authors:Juan Francisco Muñoz [aut, cre], Jose M. Pavía [aut], Encarnación Álvarez Verdejo [aut], MCIN-AEI and ERDF. Reference PID2022-136235NB-I00 [fnd]

giniVarCI_0.0.1-3.tar.gz
giniVarCI_0.0.1-3.zip(r-4.7)giniVarCI_0.0.1-3.zip(r-4.6)giniVarCI_0.0.1-3.zip(r-4.5)
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giniVarCI_0.0.1-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
giniVarCI/json (API)

# Install 'giniVarCI' in R:
install.packages('giniVarCI', repos = c('https://jfmunozrosas.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.00 score 176 downloads 24 exports 1 dependencies

Last updated from:b9b64fa525. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK194
linux-devel-x86_64OK193
source / vignettesOK310
linux-release-arm64OK192
linux-release-x86_64OK175
macos-release-arm64OK204
macos-release-x86_64OK314
macos-oldrel-arm64OK229
macos-oldrel-x86_64OK387
windows-develOK207
windows-releaseOK248
windows-oldrelOK176
wasm-releaseOK161

Exports:fcompareCIfginifginindexgbetagburrgchisqgdagumgfgfiskgfrechetggammaggompertzglnormgparetogparetoIgparetoIIgparetoIIIgparetoIVgsamplegunifgweibullicompareCIiginiiginindex

Dependencies:Rcpp

Description of methods for estimating Gini indexes, variance estimates and confidence intervals using GiniVarInterval

Rendered fromGiniVarInterval.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2024-01-09
Started: 2024-01-09

Readme and manuals

Help Manual

Help pageTopics
Comparisons of variance estimates and confidence intervals for the Gini index in finite populationsfcompareCI
Gini index, variances and confidence intervals in finite populationsfgini
Gini index for finite populations and different estimation methods.fginindex
Gini index for the Beta distribution with user-defined shape parametersgbeta
Gini index for the Burr Type XII (Singh-Maddala) distribution with user-defined scale and shape parametersgburr
Gini index for the Chi-Squared distribution with user-defined degrees of freedomgchisq
Gini index for the Dagum distribution with user-defined shape parametersgdagum
Gini index for the F distribution with user-defined degrees of freedomgf
Gini index for the Fisk (Log Logistic) distribution with user-defined shape parametersgfisk
Gini index for the Frechet distribution with user-defined shape parametersgfrechet
Gini index for the Gamma distribution with user-defined shape parameterggamma
Gini index for the Gompertz distribution with user-defined scale and shape parametersggompertz
Gini index for the Log Normal distribution with user-defined standard deviationsglnorm
Gini index for the Pareto distribution with user-defined shape parametersgpareto
Gini index for the Pareto (I) distribution with user-defined scale and shape parametersgparetoI
Gini index for the Pareto (II) distribution with user-defined location, scale and shape parametersgparetoII
Gini index for the Pareto (III) distribution with user-defined inequality parametersgparetoIII
Gini index for the Pareto (IV) distribution with user-defined location, scale, inequality and shape parametersgparetoIV
Samples from a set of continuous probability distributions with user-defined Gini indicesgsample
Gini index for the Uniform distribution with user-defined lower and upper limitsgunif
Gini index for the Weibull distribution with user-defined shape parametersgweibull
Comparisons of variance estimators and confidence intervals for the Gini index in infinite populationsicompareCI
Gini index, variances and confidence intervals in infinite populationsigini
Gini index for infinite populations and different estimation methods.iginindex