Summarize a glme Object

DESCRIPTION:

Additional information about the generalized linear mixed-effects fit represented by object is extracted and included as components of object. The returned object is suitable for printing with the print.summary.glme method.

USAGE:

summary(object, adjustSigma, verbose)

REQUIRED ARGUMENTS:

object
an object inheriting from class glme, representing a fitted generalized linear mixed-effects model.
adjustSigma
an optional logical value. If TRUE and the estimation method used to obtain object was maximum likelihood, the standard errors of the fixed effects are multiplied by sqrt(nobs/(nobs - npar)), with nobs and npar denoting, respectively, the number of observations and the number of fixed effects. This converts the standard errors to REML-like estimates. Default is TRUE.
verbose
an optional logical value used to control the amount of output in the print.summary.glme method. Defaults to FALSE.

VALUE:

an object inheriting from class summary.glme with all components included in object plus the following components:
corFixed
approximate correlation matrix for the fixed effects estimates
tTable
a data frame with columns Value, Std. Error , DF, t-value , and p-value representing respectively the fixed effects estimates, their approximate standard errors, the denominator degrees of freedom, the ratios between the estimates and their standard errors, and the associated p-value from a t distribution. Rows correspond to the different fixed effects.
residuals
if more than five observations are used in the glme fit, a vector with the minimum, first quartile, median, third quartile, and maximum of the innermost grouping level deviance residuals distribution; else the innermost grouping level deviance residuals.
AIC
the Akaike Information Criterion corresponding to object .
BIC
the Bayesian Information Criterion corresponding to object .

SEE ALSO:

, , , .

EXAMPLES:

fm1 <- glme(resp ~ trt, Clinic, ~ 1 | clinic, family=binomial)
summary(fm1)