LorenzRegression: Lorenz and Penalized Lorenz Regressions
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>.
Version:
2.3.0
Depends:
R (≥ 3.3.1)
Imports:
stats,
ggplot2,
parsnip,
boot,
rsample, parallel,
doParallel,
foreach,
MASS,
GA,
Rearrangement,
progress,
Rcpp (≥ 0.11.0)
Published:
2025年08月20日
Author:
Alexandre Jacquemain
ORCID iD [aut, cre],
Xingjie Shi [ctb] (Author of an R implementation of the FABS algorithm
available at https://github.com/shuanggema/Fabs, of which function
Lorenz.FABS is derived)
Maintainer:
Alexandre Jacquemain <aljacquemain at gmail.com>
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
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