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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>.
Version: | 1.0.0 |
Depends: | R (≥ 3.3.1) |
Imports: | stats, ggplot2, parallel, doParallel, foreach, MASS, GA, locpol, Rearrangement, Rcpp (≥ 0.11.0), knitr |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | rmarkdown |
Published: | 2023-02-28 |
DOI: | 10.32614/CRAN.package.LorenzRegression |
Author: | Alexandre Jacquemain
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Maintainer: | Alexandre Jacquemain <aljacquemain at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | LorenzRegression results |
Reference manual: | LorenzRegression.pdf |
Package source: | LorenzRegression_1.0.0.tar.gz |
Windows binaries: | r-devel: LorenzRegression_1.0.0.zip, r-release: LorenzRegression_1.0.0.zip, r-oldrel: LorenzRegression_1.0.0.zip |
macOS binaries: | r-release (arm64): LorenzRegression_1.0.0.tgz, r-oldrel (arm64): LorenzRegression_1.0.0.tgz, r-release (x86_64): LorenzRegression_1.0.0.tgz, r-oldrel (x86_64): LorenzRegression_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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