The LorenzRegression package proposes a toolbox to estimate, produce inference on and interpret Lorenz regressions. These regressions are used to determine the explanatory power of a set of covariates on the inequality of a response variable.
InstallationYou can install the released version of LorenzRegression from CRAN with:
install.packages("LorenzRegression")You can install the development version of this package from GitHub with:
# install.packages("devtools")
devtools::install_github("AlJacq/LorenzRegression")Function Structure Overhaul: Lorenz.Reg now acts as a wrapper for fitting functions Lorenz.GA, Lorenz.FABS, and Lorenz.SCADFABS, returning objects of class "LR" or "PLR" with designated methods.
Enhanced Bootstrap and CV: Lorenz.boot performs bootstrap calculations and out-of-bag score computation, while PLR.CV handles cross-validation for tuning parameter selection.
Methods: New methods fitted, explainedIneq, and autoplot for "LR" and "PLR" objects. Method availability is documented in the Lorenz.Reg help page with individual help pages for each method.
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