gd_compute_gini_lb: Compute gini index from Lorenz beta fit
In PIP-Technical-Team/wbpip: What the Package Does (One Line, Title Case)
View source: R/gd_compute_pip_stats_lb.R
gd_compute_gini_lb R Documentation
Compute gini index from Lorenz beta fit
Description
gd_compute_gini_lb() computes the gini index from a Lorenz beta fit.
Usage
gd_compute_gini_lb(A, B, C, nbins = 499)
Arguments
A
numeric: Lorenz curve coefficient. Output of
regres()$coef[1].
B
numeric: Lorenz curve coefficient. Output of
regres()$coef[2].
C
numeric: Lorenz curve coefficient. Output of
regres()$coef[3].
nbins
numeric: Number of bins used to compute Gini.
Value
numeric
References
Datt, G. 1998. "Computational Tools For Poverty Measurement And Analysis". FCND
Discussion Paper 50. World Bank, Washington, DC.
PIP-Technical-Team/wbpip documentation built on Nov. 29, 2024, 6:57 a.m.
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View source: R/gd_compute_pip_stats_lb.R
| gd_compute_gini_lb | R Documentation |
Compute gini index from Lorenz beta fit
Description
gd_compute_gini_lb() computes the gini index from a Lorenz beta fit.
Usage
gd_compute_gini_lb(A, B, C, nbins = 499)
Arguments
A |
numeric: Lorenz curve coefficient. Output of
|
B |
numeric: Lorenz curve coefficient. Output of
|
C |
numeric: Lorenz curve coefficient. Output of
|
nbins |
numeric: Number of bins used to compute Gini. |
Value
numeric
References
Datt, G. 1998. "Computational Tools For Poverty Measurement And Analysis". FCND Discussion Paper 50. World Bank, Washington, DC.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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