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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>.
| Version: |
0.0.1-3 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp (≥ 1.0.10), stats |
| LinkingTo: |
Rcpp |
| Suggests: |
knitr, rmarkdown, VGAM, utils, microbenchmark, laeken, REAT, DescTools, ineq, ggplot2 |
| Published: |
2024-01-08 |
| Author: |
Juan Francisco Muñoz
 [aut, cre],
Jose M. Pavía
[aut],
Encarnación Álvarez Verdejo
[aut],
MCIN-AEI and ERDF. Reference PID2022-136235NB-I00 [fnd] |
| Maintainer: |
Juan Francisco Muñoz <jfmunoz at ugr.es> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: |
yes |
| CRAN checks: |
giniVarCI results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=giniVarCI
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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