Summarize an lme Object

DESCRIPTION:

Additional information about the 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.lme method.

USAGE:

summary(object, adjustSigma, verbose) 

REQUIRED ARGUMENTS:

object
an object inheriting from class lme, representing a fitted linear mixed-effects model.

OPTIONAL ARGUMENTS:

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.lme method. Defaults to FALSE.

VALUE:

an object inheriting from class summary.lme with all components included in object (see lmeObject for a full description of the components) 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 lme fit, a vector with the minimum, first quartile, median, third quartile, and maximum of the innermost grouping level residuals distribution; else the innermost grouping level residuals.
AIC
the Akaike Information Criterion corresponding to object .
BIC
the Bayesian Information Criterion corresponding to object .

SEE ALSO:

, , ,

EXAMPLES:

fm1 <- lme(distance ~ age, Orthodont, random = ~ age | Subject) 
summary(fm1)