print.summary.PLR

print.summary.PLR_boot

print.summary.PLR_cv

Provides a printing method for an object of class <code>"summary.PLR"</code>.

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

print.summary.PLR function

<dl><dt>x</dt>
<dd>An object of class <code>"summary.PLR"</code>. The object might also have S3 class <code>"summary.PLR_boot"</code> and/or <code>"summary.PLR_cv"</code> (both inherit from class <code>"summary.LR"</code>)</dd>
<dt>digits</dt>
<dd>Number of significant digits to be passed.</dd>
<dt>...</dt>
<dd>Additional arguments passed to the function <code><a href="/link/print?package=LorenzRegression&version=2.2.0" data-mini-rdoc="LorenzRegression::print">print</a></code>.</dd></dl>

Arguments

Printing method for the summary of a penalized Lorenz regression — print.summary.PLR

<dl>

<dt>x</dt>
<dd>An object of class <code>"summary.PLR"</code>. The object might also have S3 class <code>"summary.PLR_boot"</code> and/or <code>"summary.PLR_cv"</code> (both inherit from class <code>"summary.LR"</code>)</dd>


<dt>digits</dt>
<dd>Number of significant digits to be passed.</dd>


<dt>...</dt>
<dd>Additional arguments passed to the function <code><a href='https://rdrr.io/r/base/print.html'>print</a></code>.</dd>

</dl>

print.summary.PLR: Printing method for the summary of a penalized Lorenz regression

Description

Usage

Value

Arguments

See Also

Examples