Lorenz.Population

<code>Lorenz.Population</code> creates the initial population of the genetic algorithm used to solve the Lorenz regression.

internal

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

Lorenz.Population function

<dl><dt>object</dt>
<dd>An object of class "<code>ga</code>", resulting from a call to function <code>ga</code>.</dd></dl>

Arguments

Defines the population used in the genetic algorithm — Lorenz.Population

<dl>

<dt>object</dt>
<dd>An object of class "<code>ga</code>", resulting from a call to function <code>ga</code>.</dd>

</dl>

Lorenz.Population: Defines the population used in the genetic algorithm

Description

Usage

Value

Arguments

Details

See Also