summary.lme {nlme}  R Documentation 
Additional information about the linear mixedeffects fit represented
by object
is extracted and included as components of
object
. The returned object has a print
and a
coef
method, the latter returning the coefficient's
tTtable
.
## S3 method for class 'lme' summary(object, adjustSigma, verbose, ...) ## S3 method for class 'summary.lme' print(x, verbose = FALSE, ...)
object 
an object inheriting from class 
adjustSigma 
an optional logical value. If 
verbose 
an optional logical value used to control the amount of
output in the 
... 
additional optional arguments passed to methods, mainly
for the 
x 
a 
!
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 matrix with columns named 
residuals 
if more than five observations are used in the

AIC 
the Akaike Information Criterion corresponding to

BIC 
the Bayesian Information Criterion corresponding to

JosÃ© Pinheiro and Douglas Bates bates@stat.wisc.edu
fm1 < lme(distance ~ age, Orthodont, random = ~ age  Subject) (s1 < summary(fm1)) coef(s1) # the (coef  Std.E  t  Pv ) matrix