summary.snreg: Summary for Skew-Normal Regression Models

In snreg: Regression with Skew-Normally Distributed Error Term

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 class 'snreg'
summary(object, ...)

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.

Value

An object of class "summary.snreg", identical to the input object except for its class attribute.

See Also

snreg, print.summary.snreg

Examples

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)

snreg documentation built on Feb. 6, 2026, 5:08 p.m.