summary.elliptical: Summarizing Elliptical Model Fits.

In gwer: Geographically Weighted Elliptical Regression

Description

This function produce summary for the result of the fitted elliptical regression model.

Usage

## S3 method for class 'elliptical'
summary(object, correlation = TRUE, ...)

Arguments

object	an object with the result of the fitted elliptical regression model.
correlation	a logical value to return the correlation for the estimated parameters. If TRUE (by default) return the correlation matrix.
...	arguments to be used to form the default control argument if it is not supplied directly.

Value

returns an object of class “summary.elliptical”, a list with follow components:

coefficients	the matrix of coefficients, standard errors and significance values for parameters hypothesis test.
dispersion	either the supplied argument or the estimated dispersion with standard error.
residuals	the residuals from object.
cov.unscaled	the unscaled (dispersion = 1) estimated covariance matrix of the estimated coefficients.
corrrelation	the matrix of correlation for the estimated parameters.
family	family from object.
loglik	the likelihood logarithm value from object.
df	degrees of freedom from object.
terms	the terms object used.
inter	number of iterations of optimization process.
nas	a logical vector indicating if there is na in estimation of coefficients.
type	a character string indicating the type of residuals was obtained from object
call	the matched call from object.
scale	values of the 4d_g for the specified distribution from object.
scaledispersion	values of the 4f_g for the specified distribution from object.

References

Cysneiros, F. J. A., Paula, G. A., and Galea, M. (2007). Heteroscedastic symmetrical linear models. Statistics & probability letters, 77(11), 1084-1090. doi: 10.1016/j.spl.2007.01.012

See Also

summary, 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)
summary(elliptical.fitt)

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