object is extracted and included as components of
object. The returned object is suitable for printing with the
print.summary.lme method.## S3 method for class 'lme':
summary(object, adjustSigma, verbose, \dots)lme, representing
a fitted linear mixed-effects model.TRUE and the
estimation method used to obtain object was maximum
likelihood, the residual standard error is multiplied by
$\sqrt{n_{obs}/(n_{obs} - n_{par})}$,
converting it to a REML-likprint.summary.lme method. Defaults to
FALSE.summary.lme with all components
included in object (see lmeObject for a full
description of the components) plus the following components: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.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.object.object.AIC,
BIC,
lme,
print.summary.lmefm1 <- lme(distance ~ age, Orthodont, random = ~ age | Subject)
summary(fm1)Run the code above in your browser using DataLab