gd_compute_polarization_lb: Computes polarization index from parametric Lorenz 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_polarization_lb R Documentation
Computes polarization index from parametric Lorenz fit
Description
Used for grouped data computations,
Usage
gd_compute_polarization_lb(mean, p0, dcm, A, B, C)
Arguments
mean
numeric: Welfare mean.
p0
numeric: TO BE DOCUMENTED.
dcm
numeric: Distribution corrected mean
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].
Value
numeric
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_polarization_lb | R Documentation |
Computes polarization index from parametric Lorenz fit
Description
Used for grouped data computations,
Usage
gd_compute_polarization_lb(mean, p0, dcm, A, B, C)
Arguments
mean |
numeric: Welfare mean. |
p0 |
numeric: TO BE DOCUMENTED. |
dcm |
numeric: Distribution corrected mean |
A |
numeric: Lorenz curve coefficient. Output of
|
B |
numeric: Lorenz curve coefficient. Output of
|
C |
numeric: Lorenz curve coefficient. Output of
|
Value
numeric
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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