Package: wINEQ 1.2.2

wINEQ: Inequality Measures for Weighted Data

Computes inequality measures of a given variable taking into account weights. Suitable for ratio, interval and ordered scale. Includes Gini, Theil, Leti index, Palma ratio, 20:20 ratio, Allison and Foster index, Jenkins index, Cowell and Flechaire index, Abul Naga and Yalcin index, Apouey index, Blair and Lacy index. Bootstrap provides distribution of inequality measures enabling significance tests.

Authors:Sebastian Wójcik [aut, cre], Agnieszka Giemza [aut], Katarzyna Machowska [aut], Jarosław Napora [aut]

wINEQ_1.2.2.tar.gz
wINEQ_1.2.2.zip(r-4.7)wINEQ_1.2.2.zip(r-4.6)wINEQ_1.2.2.zip(r-4.5)
wINEQ_1.2.2.tgz(r-4.6-any)wINEQ_1.2.2.tgz(r-4.5-any)
wINEQ_1.2.2.tar.gz(r-4.7-any)wINEQ_1.2.2.tar.gz(r-4.6-any)
wINEQ_1.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
wINEQ/json (API)

# Install 'wINEQ' in R:
install.packages('wINEQ', repos = c('https://sebastianwojcik86.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

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

1.00 score 1 stars 1 scripts 613 downloads 23 exports 18 dependencies

Last updated from:9fbee16ee6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK146
linux-release-x86_64OK669
macos-release-arm64OK133
macos-oldrel-arm64OK185
windows-develOK87
windows-releaseOK99
windows-oldrelOK69
wasm-releaseOK85

Exports:AFAN_YApoueyAtkinsonBLCEO_to_WorkerCoefVarEntropyGiniHooverineq.weightedineq.weighted.bootJenkinsKolmLetiLowerSummedianfPalmaProp20_20QuantileRicciSchutzTheil_LTheil_T

Dependencies:clidplyrgenericsgluelifecyclelpSolvemagrittrMASSpillarpkgconfigR6rlangsamplingtibbletidyselectutf8vctrswithr