Package: LorenzRegression
Type: Package
Title: Lorenz and Penalized Lorenz Regressions
Version: 2.3.2
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>.
        The implementation is described in Jacquemain and Heuchenne
        (2026) <doi:10.18637/jss.v117.i06>.
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
Config/pak/sysreqs: libicu-dev
Repository: https://aljacq.r-universe.dev
Date/Publication: 2026-09-28 07:37:52 UTC
RemoteUrl: https://github.com/aljacq/lorenzregression
RemoteRef: HEAD
RemoteSha: f3513a5873118099db5eb04967bdc460454ebbfb
NeedsCompilation: yes
Packaged: 2026-09-28 09:19:01 UTC; root
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>