Changes in version 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 Changes in version 1.2.1 (2024-09-09) 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. Changes in version 1.2.0 (2023-04-21) 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. Changes in version 1.1.2 (2023-02-17) 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 Changes in version 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. Changes in version 1.0.1 (2022-02-11) First CRAN Release - Initial CRAN Release