ineqExplained

This generic function extracts a measure of explained inequality, such as the explained Gini coefficient or the Lorenz-R2, from a fitted model object.

Inference for the Lorenz and penalized Lorenz regressions. More broadly, the package proposes functions to assess inequality and graphically represent it. The Lorenz Regression procedure is introduced in Heuchenne and Jacquemain (2022) <doi:10.1016/j.csda.2021.107347> and in Jacquemain, A., C. Heuchenne, and E. Pircalabelu (2024) <doi:10.1214/23-EJS2200>.

Alexandre Jacquemain

LorenzRegression

Lorenz and Penalized Lorenz Regressions

Xingjie Shi

ineqExplained function

<dl><dt>object</dt>
<dd>An object for which the inequality metrics should be extracted.</dd>
<dt>type</dt>
<dd>Character string specifying the type of inequality metric to retrieve. Options are <code>"Gini.explained"</code> for the explained Gini coefficient or <code>"Lorenz-R2"</code> for the Lorenz-\(R^2\).</dd>
<dt>...</dt>
<dd>Additional arguments passed to specific methods.</dd></dl>

Arguments

Retrieve a measure of explained inequality from a model — ineqExplained

<dl>

<dt>object</dt>
<dd>An object for which the inequality metrics should be extracted.</dd>


<dt>type</dt>
<dd>Character string specifying the type of inequality metric to retrieve. Options are <code>"Gini.explained"</code> for the explained Gini coefficient or <code>"Lorenz-R2"</code> for the Lorenz-\(R^2\).</dd>


<dt>...</dt>
<dd>Additional arguments passed to specific methods.</dd>

</dl>

ineqExplained: Retrieve a measure of explained inequality from a model

Description

Usage

Value

Arguments

See Also

Examples