lmer-class: Mixed Model Representations and *mer Methods
Description
The mer class is mixed-effects representation using a
blocked, sparse, symmetric, column-oriented matrix and dense
matrices. The lmer class extends mer to represent a
fitted linear mixed-effects model. The summary.mer and
summary.lmer classes represent summaries of these objects. The
coef.lmer and ranef.lmer classes represent fixed and
random effect coefficients.
Usage
## S3 method for class 'mer':
logLik(object, REML = object@method == "REML", \dots)
## S3 method for class 'mer':
vcov(object, REML = object@method == "REML", \dots)
Arguments
object
object of class mer or lmer.
REML
logical indicating if REML should be used.
...
potential further arguments passed to methods.
Objects from the Class
Objects can be created by calls of the form new("lmer", ...)
or, more commonly via the lmer function.
See Also
lmer() produces these objects.
VarCorr for extracting the variance and
correlation components of the random-effects terms.