summary.snreg: Summary for Skew-Normal Regression Models

Description

Produces a summary object for objects of class "snreg". The function assigns the class "summary.snreg" to the fitted model object, enabling a dedicated print method (print.summary.snreg) to display results in a structured format.

Usage

# S3 method for snreg
summary(object, ...)

Value

An object of class "summary.snreg", identical to the input object

except for its class attribute.

Arguments

object: an object of class "snreg", typically returned by snreg.
...: additional arguments (currently not used).

Details

Summary Method for snreg Objects

This method expects a fitted "snreg" object.

summary.snreg does not modify the contents of the object; it only updates the class attribute to "summary.snreg". The corresponding print method (print.summary.snreg) is responsible for formatting and displaying estimation details, such as convergence criteria, log-likelihood, coefficient tables, and (if present) heteroskedastic and skewness components.

Examples

Run this code

library(snreg)

data("banks07")
head(banks07)

# Translog cost function specification

spe.tl <- log(TC) ~ (log(Y1) + log(Y2) + log(W1) + log(W2))^2 +
  I(0.5 * log(Y1)^2) + I(0.5 * log(Y2)^2) +
  I(0.5 * log(W1)^2) + I(0.5 * log(W2)^2)

# Specification 1: homoskedastic noise and skewness

formSV <- NULL   # variance equation; constant variance
formSK <- NULL   # skewness equation; constant skewness

m1 <- snreg(
  formula  = spe.tl,
  data     = banks07,
  ln.var.v = formSV,
  skew.v   = formSK
)

summary(m1)