Package: ineqJD 1.0
ineqJD: Inequality Joint Decomposition
Computes and decomposes Gini, Bonferroni and Zenga 2007 point and synthetic concentration indexes. Decompositions are intended: by sources, by subpopulations and by sources and subpopulations jointly. References, Zenga M. M.(2007) <doi:10.1400/209575> Zenga M. (2015) <doi:10.1400/246627> Zenga M., Valli I. (2017) <doi:10.26350/999999_000005> Zenga M., Valli I. (2018) <doi:10.26350/999999_000011>.
Authors:
ineqJD_1.0.tar.gz
ineqJD_1.0.zip(r-4.5)ineqJD_1.0.zip(r-4.4)ineqJD_1.0.zip(r-4.3)
ineqJD_1.0.tgz(r-4.4-any)ineqJD_1.0.tgz(r-4.3-any)
ineqJD_1.0.tar.gz(r-4.5-noble)ineqJD_1.0.tar.gz(r-4.4-noble)
ineqJD_1.0.tgz(r-4.4-emscripten)ineqJD_1.0.tgz(r-4.3-emscripten)
ineqJD.pdf |ineqJD.html✨
ineqJD/json (API)
# Install 'ineqJD' in R: |
install.packages('ineqJD', repos = c('https://albertoarcagni.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:925ba5e3aa. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
R-4.4-win | OK | Nov 16 2024 |
R-4.4-mac | OK | Nov 16 2024 |
R-4.3-win | OK | Nov 16 2024 |
R-4.3-mac | OK | Nov 16 2024 |
Exports:bonferronibonferroni.dataProcesseddataProcessingginigini.dataProcessedinequalityCurvesinequalityCurves.decompositionplot.inequality_curvesprint.dataProcessedprint.summary.decompositionsummary.decompositionzengazenga.dataProcessed
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Point and synthetic Bonferroni indexes | bonferroni bonferroni.dataProcessed |
Data Processing | dataProcessing print.dataProcessed |
Point and synthetic Gini indexes | gini gini.dataProcessed |
Inequality curves evaluation | inequalityCurves inequalityCurves.decomposition |
Plot inequality curves | plot.inequality_curves |
Summarizing inequality decomposition | print.summary.decomposition summary.decomposition |
Point and synthetic Zenga 2007 indexes | zenga zenga.dataProcessed |