nlme (version 3.1-31)

summary.gls: Summarize a gls Object

Description

Additional information about the linear model fit represented by object is extracted and included as components of object. The returned object is suitable for printing with the print.summary.gls method.

Usage

## S3 method for class 'gls':
summary(object, verbose, \dots)

Value

an object inheriting from class summary.gls with all components included in object (see glsObject for a full description of the components) plus the following components:corBetaapproximate correlation matrix for the coefficients estimatestTablea data frame with columns Value, Std. Error, t-value, and p-value representing respectively the coefficients estimates, their approximate standard errors, the ratios between the estimates and their standard errors, and the associated p-value under a $t$ approximation. Rows correspond to the different coefficients.residualsif more than five observations are used in the gls fit, a vector with the minimum, first quartile, median, third quartile, and maximum of the residuals distribution; else the residuals.AICthe Akaike Information Criterion corresponding to object.BICthe Bayesian Information Criterion corresponding to object.

See Also

gls, AIC, BIC, print.summary.gls

Examples

data(Ovary)
fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary,
           correlation = corAR1(form = ~ 1 | Mare))
summary(fm1)