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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.
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.
Health stats visible at Monitor.