gd_compute_mld_lq: Computes MLD from Lorenz Quadratic fit
In PIP-Technical-Team/wbpip: What the Package Does (One Line, Title Case)
View source: R/gd_compute_pip_stats_lq.R
gd_compute_mld_lq R Documentation
Computes MLD from Lorenz Quadratic fit
Description
gd_compute_mld_lq() computes the Mean Log deviation (MLD) from a Lorenz
Quadratic fit
Usage
gd_compute_mld_lq(A, B, C, key_values)
Arguments
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
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_lq.R
| gd_compute_mld_lq | R Documentation |
Computes MLD from Lorenz Quadratic fit
Description
gd_compute_mld_lq() computes the Mean Log deviation (MLD) from a Lorenz
Quadratic fit
Usage
gd_compute_mld_lq(A, B, C, key_values)
Arguments
A |
numeric: Lorenz curve coefficient. Output of
|
B |
numeric: Lorenz curve coefficient. Output of
|
C |
numeric: Lorenz curve coefficient. Output of
|
key_values |
named list: key values for lq fit, calculated using A, B, C parameters using gd_lq_key_values |
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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