Lorenz and Penalized Lorenz Regressions

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Documentation for package ‘LorenzRegression’ version 1.0.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

.Fitness_cpp	Computes the fitness used in the GA
boot.confint	Bootstrap confidence intervals
coef.LR	Estimated coefficients for the Lorenz Regression
coef.PLR	Estimated coefficients for the Penalized Lorenz Regression
confint.LR	Confidence intervals for the Lorenz Regression
confint.PLR	Confidence intervals for the Penalized Lorenz Regression
Data.Incomes	Simulated income data
Gini.coef	Concentration index of _y_ wrt _x_
Lorenz.boot	Produces bootstrap-based inference for (penalized) Lorenz regression
Lorenz.curve	Concentration curve of _y_ with respect to _x_
Lorenz.FABS	Solves the Penalized Lorenz Regression with Lasso penalty
Lorenz.GA	Estimates the parameter vector in Lorenz regression using a genetic algorithm
Lorenz.graphs	Graphs of concentration curves
Lorenz.Population	Defines the population used in the genetic algorithm
Lorenz.Reg	Undertakes a Lorenz regression
Lorenz.SCADFABS	Solves the Penalized Lorenz Regression with SCAD penalty
LorenzRegression	LorenzRegression : A package to estimate and interpret Lorenz regressions
plot.LR	Plots for the Unpenalized Lorenz Regression
plot.PLR	Plots for the Penalized Lorenz Regression
PLR.BIC	Determines the regularization parameter (lambda) in a PLR via optimization of an information criterion.
PLR.CV	Determines the regularization parameter (lambda) in a PLR via cross-validation
PLR.normalize	Re-normalizes the estimated coefficients of a penalized Lorenz regression
PLR.wrap	Wrapper for the 'Lorenz.SCADFABS' and 'Lorenz.FABS' functions
print.LR	Printing method for the Lorenz Regression
print.PLR	Printing method for the Penalized Lorenz Regression
Rearrangement.estimation	Estimates a monotonic regression curve via Chernozhukov et al (2009)
summary.LR	Summary for the Lorenz Regression
summary.PLR	Summary for the Penalized Lorenz Regression