nlme (version 3.1-86)

summary.lme: 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

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

Arguments

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:corFixedapproximate correlation matrix for the fixed effects estimatestTablea 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.residualsif 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.AICthe Akaike Information Criterion corresponding to object.BICthe Bayesian Information Criterion corresponding to object.

See Also

AIC, BIC, lme, print.summary.lme

Examples

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

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