gd_compute_dist_fit_lq: Computes the sum of squares of error

In PIP-Technical-Team/wbpip: What the Package Does (One Line, Title Case)

Computes the sum of squares of error

Description

Measures the fit of the model to the data for distributional statistics.

Usage

gd_compute_dist_fit_lq(welfare, population, A, B, C, key_values)

Arguments

welfare	numeric: Welfare vector (grouped).
population	numeric: Population vector (grouped).
A	numeric: Lorenz curve coefficient. Output of regres_lq()$coef[1].
B	numeric: Lorenz curve coefficient. Output of regres_lq()$coef[2].
C	numeric: Lorenz curve coefficient. Output of regres_lq()$coef[3].
key_values	named list: key values for lq fit, calculated using A, B, C parameters using gd_lq_key_values

Value

list

PIP-Technical-Team/wbpip documentation built on Nov. 29, 2024, 6:57 a.m.