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wINEQ  

Inequality Measures for Weighted Data
View on CRAN: Click here


Download and install wINEQ package within the R console
Install from CRAN:
install.packages("wINEQ")

Install from Github:
library("remotes")
install_github("cran/wINEQ")

Install by package version:
library("remotes")
install_version("wINEQ", "1.2.1")



Attach the package and use:
library("wINEQ")
Maintained by
Sebastian Wójcik
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-11
Latest Update: 2024-09-09
Description:
Computes inequality measures of a given variable taking into account weights. Bootstrap method provides distribution of inequality measures and several additional statistics.
How to cite:
Sebastian Wójcik (2022). wINEQ: Inequality Measures for Weighted Data. R package version 1.2.1, https://cran.r-project.org/web/packages/wINEQ. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.1 (2022-02-11 20:00), 1.1.1 (2023-01-13 12:50), 1.1.2 (2023-02-17 09:50), 1.2.0 (2023-04-21 17:50), 1.2.1 (2024-09-09 13:20)
Other packages that cited wINEQ R package
View wINEQ citation profile
Other R packages that wINEQ depends, imports, suggests or enhances
Complete documentation for wINEQ
Functions, R codes and Examples using the wINEQ R package
Some associated functions: Abul_Naga_and_Yalcin . Allison_and_Foster . Apouey . Atkinson . Blair_Lacy . CoefVar . Entropy . Gini . Hoover . Jenkins . Kolm . Leti . Palma . Prop20_20 . RicciSchutz . Theil_L . Theil_T . Tourism . Well_being . ineq_weighted . ineq_weighted_boot . medianf . 
Some associated R codes: inequalityMeasure.R . inequalityMeasureBoot.R .  Full wINEQ package functions and examples
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