wINEQ

News

wINEQ 1.2.3 (2026+10+12)

New features

• Package has been enriched with a new measures:
  • Bonferroni Inequality,
  • Zenga Inequality Index,
  • Kakwani Progressivity Index,
  • Rosenbluth Concentration Index,
  • Sen, Shorrocks & Thon Poverty index,
  • Wolfson Polarization Index

Changes

• All measures based on ordered factor now have additional parameter levels
• Parameter levels allows to provide all factor levels that variable X could take although X does not contain them
• It prevents overestimation of polarization

Future works

• new inequality measures
• vignette presenting an example workflow with our package

wINEQ 1.2.2 (2026+04+23)

New features

• Package has been enriched with a new measure CEO+to+Worker Pay Ratio. It is dedicated to measure a wage gap between CEO and employees.
• Function CEO_to_Worker in a fact can be used to capture such inequality for any numeric data taking a ratio of maximum to median.

Future works

• new inequality measures
• vignette presenting an example workflow with our package

wINEQ 1.2.1 (2024+08+03)

New features

• Package has been enriched with additional functions, that is:
  • Quantile computes quantile derived for the given probability taking into account weights
  • LowerSum computes weighted sum of values lower then a quantile derived for the given probability. It is a part of very well+know inequality indices.
• Function Theil_T, Theil_L and Entropy have an option to deal with zeroes in a data vector.

Bugs fixed

• Functions Palma and Prop20_20 incorrectly determined quantiles.

Changes

• Function Gini have an alternative computing algorithm: slower but memory saving.

wINEQ 1.2.0 (2023+04+22)

New features

• Package has been enriched with new inequality measures for variables on an ordinal scale, that is:
  • Apouey index
  • Abul Naga and Yalcin index
  • Blair and Lacy index
• Functions ineq.weighted and ineq.weighted.boot now start with assessing if variable of interest is numeric whether ordered factor. Then the inequality measures appropriate for the given variable are returned.
• New function medianF returns median for an ordered factor.

Changes

• Improvement of handling with missing data or wrong data format.
• Allison and Foster index formula is not suitable for an ordered factor. Hence, function AF converts an ordered factor variable to numeric variable and then performs calculation.

wINEQ 1.1.2 (2023+02+16)

Bugs fixed

• Function ineq.weighted.boot worked incorrectly for calibrated bootstrap storing results in an object of wrong dimensions.

Changes

• Function ineq.weighted.boot returns named list to access its items easily.

Future works

• more inequality measures for ordinal data

wINEQ 1.1.1 (2023+01+13)

Changes

• R Documentation is enriched with formula for each inequality measure, more details and more references.
• Leti function works for numerical and now also for ordered factor variable.
• A warning was added for Kolm formula that the result is scale dependent. Example provided. Kolm function is enriched with some standardization methods.

New features

• Added new data Well_being + data from sample survey on quality of life conducted on Polish+Ukrainian border. Modified due to SDC.
• Added new data Tourism + data from sample survey on trips conducted in Polish households. Modified due to SDC.
• Added examples for new datasets.

Bugs fixed

• Function ineq.weighted.boot did not take a default bounds parameter for calib function. Now bounds parameter is added with default values.
• Leti function incorrectly calculated a cumulative distribution. Fixed.
• Leti function standardized its results to unit interval without option to change it. Additional parameter norm provided.

wINEQ 1.0.1 (2022+02+11)

First CRAN Release

• Initial CRAN Release