Package: lorenz
Type: Package
Title: Tools for Deriving Income Inequality Estimates from Grouped
        Income Data
Version: 0.1.0
Authors@R: person(given = "Andrew",
             family = "Carr",
             role = c("aut", "cre", "cph"),
             email = "andrew.carr@duke.edu")
Description: Provides two methods of estimating income inequality statistics from binned income data, such as the income data provided in the Census.
  These methods use different interpolation techniques to infer the distribution of incomes within income bins.  One method is an implementation of 
  Jargowsky and Wheeler's mean-constrained integration over brackets (MCIB).  The other method is based on a new technique, Lorenz interpolation, 
  which estimates income inequality by constructing an interpolated Lorenz curve based on the binned income data.  These methods can be used to 
  estimate three income inequality measures: the Gini (the default measure returned), the Theil, and the Atkinson's index.  
  Jargowsky and Wheeler (2018) <doi:10.1177/0081175018782579>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, dineq
RoxygenNote: 7.1.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-08-26 13:50:53 UTC; andrewcarr
Author: Andrew Carr [aut, cre, cph]
Maintainer: Andrew Carr <andrew.carr@duke.edu>
Repository: CRAN
Date/Publication: 2020-09-01 08:20:08 UTC
Built: R 4.6.0; ; 2026-04-25 13:45:36 UTC; unix
