Objects of class
varcomp that
represent the estimation of a variance components model.
GENERATION:
This class of objects is returned from the
varcomp function.
METHODS:
The
"varcomp" class of objects has methods for the following generic
functions:
coef,
print,
plot,
summary.
INHERITANCE:
The class
"varcomp" inherits from
"lm".
STRUCTURE:
The following components must be included in a legitimate
varcomp object.
VALUE:
variances
vector of variance components.
coefficients
the coefficients for the fixed effects in the model.
beta
vector of estimated random variables.
residuals
the residuals for the model.
info
vector of information on the likelihood.
assign.fixed
the list of assignments of coefficients to the fixed terms in
the model.
The names of this list are the names of the terms.
The
ith element of the list is the vector saying which coefficients
correspond to the
ith term.
It may be of length 0 if there were no estimable effects for the term.
assign.random
list of assignments for the
beta component.
This is analogous to
assign.fixed.
fitted.values
the fitted values using only the fixed effects (all random components
are treated as zero).
contrasts
a list of the contrast matrices used for the fixed effects that are factors.
terms
an object of mode
expression and class
term summarizing the formula.
This is used by various methods, but typically not of direct relevance to
users.
method
character string(s) stating the method of estimation used.
call
an image of the call that produced the object, but with the arguments
all named and with the actual formula included as the formula argument.
There are also the following components if maximum likelihood or REML
are performed:
message
character string stating the condition under which optimization was
terminated.
hessian
the Hessian matrix of the variance components (and the fixed effects for
maximum likelihood).
cov.fixed
covariance matrix for the fixed effects.
initial.var
the vector of variances at which optimization started.