residuals.snreg: Residuals for snreg Objects

In snreg: Regression with Skew-Normally Distributed Error Term

Residuals for snreg Objects

Description

residuals.snreg is the S3 method for extracting residuals from a fitted snreg model. Residuals may be returned either for the full data or only for the estimation sample.

Usage

## S3 method for class 'snreg'
residuals(object, esample = TRUE, ...)

Arguments

object	an object of class "snreg", typically produced by snreg.
esample	logical. If TRUE (default), residuals are returned only for observations used in estimation (others are NA). If FALSE, the raw vector of residuals (obj$resid) is returned.
...	additional arguments (currently unused).

Details

Extract Residuals from an snreg Model

This method simply accesses the obj$resid component of a fitted "snreg" object. An informative error is produced if residuals are not available.

Value

A numeric vector of residuals. If esample = TRUE, the vector matches the length of the original data and contains NA for non-estimation observations. If esample = FALSE, only the computed residuals are returned.

See Also

snsf, snreg, lm.mle, vcov.snreg, coef.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
)

residuals(m1)

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