_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-lorenzregression 2.1.0
Propagated dependencies: r-scales@1.4.0 r-rsample@1.3.0 r-rearrangement@2.1 r-rcpparmadillo@14.4.2-1 r-rcpp@1.0.14 r-parsnip@1.3.1 r-mass@7.3-65 r-locpol@0.8.0 r-ggplot2@3.5.2 r-ga@3.2.4 r-foreach@1.5.2 r-doparallel@1.0.17 r-boot@1.3-31
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/AlJacq/LorenzRegression
Licenses: GPL 3
Synopsis: Lorenz and Penalized Lorenz Regressions
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>.

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