gd_compute_dist_fit_lb: Computes the sum of squares of error Measures the fit of the...
In PIP-Technical-Team/wbpip: What the Package Does (One Line, Title Case)
View source: R/gd_compute_dist_stats.R
gd_compute_dist_fit_lb R Documentation
Computes the sum of squares of error
Measures the fit of the model to the data for distributional statistics.
Description
Computes the sum of squares of error
Measures the fit of the model to the data for distributional statistics.
Usage
gd_compute_dist_fit_lb(welfare, population, A, B, C)
Arguments
welfare
numeric: Welfare vector (grouped).
population
numeric: Population vector (grouped).
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
list
PIP-Technical-Team/wbpip documentation built on Nov. 29, 2024, 6:57 a.m.
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.
View source: R/gd_compute_dist_stats.R
| gd_compute_dist_fit_lb | R Documentation |
Computes the sum of squares of error Measures the fit of the model to the data for distributional statistics.
Description
Computes the sum of squares of error Measures the fit of the model to the data for distributional statistics.
Usage
gd_compute_dist_fit_lb(welfare, population, A, B, C)
Arguments
welfare |
numeric: Welfare vector (grouped). |
population |
numeric: Population vector (grouped). |
A |
numeric: Lorenz curve coefficient. Output of
|
B |
numeric: Lorenz curve coefficient. Output of
|
C |
numeric: Lorenz curve coefficient. Output of
|
Value
list
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.