autoplot.LR | Plots for the Lorenz regression |
autoplot.PLR | Plots for the penalized Lorenz regression |
coef.LR | Estimated coefficients for the Lorenz regression |
coef.PLR | Estimated coefficients for the penalized Lorenz regression |
confint.LR_boot | Confidence intervals for the Lorenz regression |
confint.PLR_boot | Confidence intervals for the penalized Lorenz regression |
Data.Incomes | Simulated income data |
diagnostic.PLR | Diagnostic for the penalized Lorenz regression |
dot-Fitness_cpp | Computes the fitness used in the GA |
dot-frac_rank_cpp | Computes fractional ranks |
Gini.coef | Concentration index of _y_ with respect to _x_ |
ineqExplained | Retrieve a measure of explained inequality from a model |
ineqExplained.lm | Explained inequality metrics for (generalized) linear models |
ineqExplained.LR | Explained inequality metrics for the Lorenz regression |
ineqExplained.PLR | Explained inequality metrics for the penalized Lorenz... |
Lorenz.boot | Bootstrap for the (penalized) Lorenz regression |
Lorenz.boot.combine | Combines bootstrap Lorenz regressions |
Lorenz.curve | Concentration curve of _y_ with respect to _x_ |
Lorenz.FABS | Estimates the parameter vector in a penalized Lorenz... |
Lorenz.GA | Estimates the parameter vector in Lorenz regression using a... |
Lorenz.ga.call | Call to the genetic algorithm for the Lorenz regression |
Lorenz.graphs | Graphs of concentration curves |
Lorenz.Population | Defines the population used in the genetic algorithm |
Lorenz.Reg | Fits a Lorenz regression |
LorenzRegression-package | LorenzRegression : A package to estimate and interpret Lorenz... |
Lorenz.SCADFABS | Estimates the parameter vector in a penalized Lorenz... |
Lorenz.Suggestions | Defines the suggestions used in the genetic algorithm |
model_matrix_PLR | Design matrix in the Penalized Lorenz Regression |
PLR.BIC | Determines the regularization parameter (lambda) in a PLR via... |
PLR.CV | Cross-validation for penalized Lorenz regression |
PLR.fit | Penalized Lorenz Regression Fit Function |
PLR.normalize | Re-normalizes the estimated coefficients of a penalized... |
PLR.scores | Computes Gini scores for the Penalized Lorenz Regression |
predict.LR | Prediction and fitted values for the Lorenz regression |
predict.PLR | Prediction and fitted values for the penalized Lorenz... |
print.LR | Printing method for the Lorenz regression |
print.PLR | Printing method for the penalized Lorenz regression |
print.summary.LR | Printing method for the summary of a Lorenz regression |
print.summary.PLR | Printing method for the summary of a penalized Lorenz... |
Rearrangement.estimation | Estimates a monotonic regression curve via Chernozhukov et al... |
residuals.LR | Residuals for the Lorenz regression |
residuals.PLR | Residuals for the penalized Lorenz regression |
runif_seed | Generates a sample of uniform random variables with a... |
summary.LR | Summary for the Lorenz regression |
summary.PLR | Summary for the penalized Lorenz regression |
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