| Name : R-lorenz
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.28.2
| Date : 2024-06-14 12:13:01
|
| Group : Development/Libraries/Other
| Source RPM : R-lorenz-0.1.0-lp153.28.2.src.rpm
|
| Size : 0.04 MB
| |
| Packager : (none)
| |
| Summary : Tools for Deriving Income Inequality Estimates from Grouped Income Data
|
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>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
