elliptical.envelope: Simulated Envelope of Residuals for Elliptical Regression...

In gwer: Geographically Weighted Elliptical Regression

Description

This function produces quantile-quantile residuals plot with simulated envelope for the specified error distribution in elliptical regression models.

Usage

elliptical.envelope(
  object,
  B = 100,
  arg,
  xlab = NULL,
  ylab = NULL,
  ident = NULL,
  ident.labels = NULL,
  ...
)

Arguments

object	an object with the result of the fitted elliptical regression model.
B	number of Monte Carlo simulations.
arg	a numerical or vector representing the distribution parameters used in fitted model.
xlab	a label for the x axis, defaults to a description of x.
ylab	a label for the y axis, defaults to a description of y.
ident	a numerical indicate the number of observation identified in plot.
ident.labels	an optional character vector giving labels for the identified points.
...	arguments to be used to form the default control argument if it is not supplied directly.

References

Galea, M., Paula, G. A., and Cysneiros, F. J. A. (2005). On diagnostics in symmetrical nonlinear models. Statistics & Probability Letters, 73(4), 459-467. doi: 10.1016/j.spl.2005.04.033

See Also

glm, elliptical, family.elliptical

Examples

data(luzdat)
y <- luzdat$y
x1 <- luzdat$x1 ; x1 <- factor(x1) ; x1 <- C(x1,treatment)
x2 <- luzdat$x2
x3 <- (luzdat$x2)^2
luz <- data.frame(y,x1,x2,x3)
elliptical.fitt <- elliptical(y ~ x1+x2+x3, family = Student(df=5),
data=luz)
elliptical.envelope(elliptical.fitt, B=100, arg=5)

gwer documentation built on April 28, 2021, 9:07 a.m.