Gini Indices, Variances and Confidence Intervals for Finite and Infinite Populations R package giniVarCI version 0.0.1-3 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>. Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.10), stats LinkingTo: Rcpp Suggests: knitr, rmarkdown, VGAM, utils, microbenchmark, laeken, REAT, DescTools, ineq, ggplot2 Juan Francisco Muñoz <jfmunoz@ugr.es> Comprehensive R Archive Network (CRAN) Juan Francisco Muñoz [aut, cre] (ORCID: <https://orcid.org/0000-0001-7427-6630>), Jose M. Pavía [aut] (ORCID: <https://orcid.org/0000-0002-0129-726X>), Encarnación Álvarez Verdejo [aut] (ORCID: <https://orcid.org/0000-0002-0473-6037>), MCIN-AEI and ERDF. Reference PID2022-136235NB-I00 [fnd] GPL 2024-01-08 application/tgz https://CRAN.R-project.org/package=giniVarCI doi:10.32614/CRAN.package.giniVarCI