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.
You 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.