gd_compute_pov_gap_lb: Compute poverty gap for 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_pov_gap_lb R Documentation
Compute poverty gap for Lorenz Beta fit
Description
Compute poverty gap for Lorenz Beta fit
Usage
gd_compute_pov_gap_lb(mean, povline, headcount, A, B, C, u = NULL)
Arguments
mean
numeric: Welfare mean.
povline
numeric: Poverty line.
headcount
numeric: Headcount index.
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].
u
numeric: Normalized mean.
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_pov_gap_lb | R Documentation |
Compute poverty gap for Lorenz Beta fit
Description
Compute poverty gap for Lorenz Beta fit
Usage
gd_compute_pov_gap_lb(mean, povline, headcount, A, B, C, u = NULL)
Arguments
mean |
numeric: Welfare mean. |
povline |
numeric: Poverty line. |
headcount |
numeric: Headcount index. |
A |
numeric: Lorenz curve coefficient. Output of
|
B |
numeric: Lorenz curve coefficient. Output of
|
C |
numeric: Lorenz curve coefficient. Output of
|
u |
numeric: Normalized mean. |
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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