Summarize an lme Object
## 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
|
José 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 | P-v ) matrix
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