Package: LorenzRegression
Type: Package
Title: Lorenz and Penalized Lorenz Regressions
Version: 2.3.1
Authors@R: c(person("Alexandre","Jacquemain",email="aljacquemain@gmail.com",role=c("aut","cre"),comment = c(ORCID = "0000-0001-9349-780X")),
             person("Xingjie","Shi",email="xingjieshi@njue.edu.cn",role="ctb",
             comment="Author of an R implementation of the FABS algorithm available at https://github.com/shuanggema/Fabs, of which function Lorenz.FABS is derived"))
Description: 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>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.3.1)
LazyData: true
Imports: stats, ggplot2, parsnip, boot, rsample, parallel, doParallel,
        foreach, MASS, GA, Rearrangement, progress, Rcpp (>= 0.11.0)
RoxygenNote: 7.3.3
Suggests: rmarkdown
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/AlJacq/LorenzRegression
BugReports: https://github.com/AlJacq/LorenzRegression/issues
ByteCompile: true
NeedsCompilation: yes
Packaged: 2026-02-12 09:23:14 UTC; Jacquemain
Author: Alexandre Jacquemain [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9349-780X>),
  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@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-12 09:50:10 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-25 23:14:01 UTC; unix
Archs: LorenzRegression.so.dSYM
