LorenzRegression (version 2.3.1)

summary.PLR: Summary for the penalized Lorenz regression

Description

Provides a summary for an object of class "PLR".

Usage

# S3 method for PLR
summary(object, renormalize = TRUE, ...)

Value

An object of class "summary.PLR", which contains:

call

The matched call.

ineq

A table of explained inequality metrics. The columns display the explained Gini coefficient, the Gini coefficient of the response, and the Lorenz-R2. The first row contains the results obtained by BIC.

coefficients

A matrix with estimated coefficients, each row corresponding to a specific coefficient. The first column contains the results obtained by BIC.

If the object inherits from "PLR_boot", ineq and coefficients also include results from bootstrap, and the class "summary.PLR_boot" is added to the output. Similarly, if the object inherits from "PLR_cv", ineq and coefficients also include results from cross-validation, and the class "summary.PLR_cv" is added to the output.

Arguments

object

An object of class "PLR". The object might also have S3 classes "PLR_boot" and/or "PLR_cv" (both inherit from class "PLR")

renormalize

A logical value determining whether the coefficient vector should be re-normalized to match the representation where the first category of each categorical variable is omitted. Default value is TRUE

...

Additional arguments

See Also

Lorenz.Reg, Lorenz.boot, PLR.CV

Examples

## For examples see example(Lorenz.Reg), example(Lorenz.boot) and example(PLR.CV)