model_matrix_PLR

<code>model_matrix_PLR</code> is a utilitary function that provides the design matrix for the Penalized 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

model_matrix_PLR function

<dl><dt>mt</dt>
<dd>Model terms</dd>
<dt>mf</dt>
<dd>Model frame</dd></dl>

Arguments

Design matrix in the Penalized Lorenz Regression — model_matrix_PLR

<dl>

<dt>mt</dt>
<dd>Model terms</dd>


<dt>mf</dt>
<dd>Model frame</dd>

</dl>

model_matrix_PLR: Design matrix in the Penalized Lorenz Regression

Description

Usage

Value

Arguments

Details