residuals.PLR

residuals.PLR_boot

residuals.PLR_cv

<code>residuals</code> provides residuals for an object of class <code>"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

residuals.PLR function

<dl><dt>object</dt>
<dd>An object of class <code>"PLR"</code>.</dd>
<dt>pars.idx</dt>
<dd>What grid and penalty parameters should be used for parameter selection. Either a character string specifying the selection method, where the possible values are:<ul>
<li><code>"BIC"</code> (default) - Always available.</li>
<li><code>"Boot"</code> - Available if <code>object</code> inherits from <code>"PLR_boot"</code>.</li>
<li><code>"CV"</code> - Available if <code>object</code> inherits from <code>"PLR_cv"</code>.</li>
</ul>Or a numeric vector of length 2, where the first element is the index of the grid parameter and the second is the index of the penalty parameter.</dd>
<dt>...</dt>
<dd>Additional arguments passed to the function <code>Rearrangement.estimation</code>.</dd></dl>

Arguments

Residuals for the penalized Lorenz regression — residuals.PLR

<dl>

<dt>object</dt>
<dd>An object of class <code>"PLR"</code>.</dd>


<dt>pars.idx</dt>
<dd>What grid and penalty parameters should be used for parameter selection. Either a character string specifying the selection method, where the possible values are:<ul>
<li><code>"BIC"</code> (default) - Always available.</li>
<li><code>"Boot"</code> - Available if <code>object</code> inherits from <code>"PLR_boot"</code>.</li>
<li><code>"CV"</code> - Available if <code>object</code> inherits from <code>"PLR_cv"</code>.</li>
</ul>Or a numeric vector of length 2, where the first element is the index of the grid parameter and the second is the index of the penalty parameter.</dd>


<dt>...</dt>
<dd>Additional arguments passed to the function <code>Rearrangement.estimation</code>.</dd>

</dl>

residuals.PLR: Residuals for the penalized Lorenz regression

Description

Usage

Value

Arguments

Details

See Also

Examples