.frac_rank_cpp

Computes the vector of fractional ranks related to a given vector

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

.frac_rank_cpp function

<dl><dt>x</dt>
<dd>vector of size n gathering the values for which the fractional rank should be computed</dd>
<dt>pi</dt>
<dd>vector of size n gathering the observation weights (notice that sum(pi)=1)</dd></dl>

Arguments

Computes fractional ranks — .frac_rank_cpp

<dl>

<dt>x</dt>
<dd>vector of size n gathering the values for which the fractional rank should be computed</dd>


<dt>pi</dt>
<dd>vector of size n gathering the observation weights (notice that sum(pi)=1)</dd>

</dl>

.frac_rank_cpp: Computes fractional ranks

Description

Usage

Value

Arguments