Initial estimates for the parameters in the pdMat objects
forming object, which have not yet been initialized, are
obtained using the methodology described in Bates and Pinheiro
(1998). These estimates may be refined using a series of EM
iterations, as described in Bates and Pinheiro (1998). The number of
EM iterations to be used is defined in control.
# S3 method for reStruct
Initialize(object, data, conLin, control, ...)an reStruct object similar to object, but with all
pdMat components initialized.
an object inheriting from class "reStruct",
representing a random effects structure and consisting of a list of
pdMat objects.
a data frame in which to evaluate the variables defined in
formula(object).
a condensed linear model object, consisting of a list
with components "Xy", corresponding to a regression matrix
(X) combined with a response vector (y), and
"logLik", corresponding to the log-likelihood of the
underlying model.
an optional list with a single component niterEM
controlling the number of iterations for the EM algorithm used to
refine initial parameter estimates. It is given as a list for
compatibility with other Initialize methods. Defaults to
list(niterEM = 20).
some methods for this generic require additional arguments. None are used in this method.
José Pinheiro and Douglas Bates bates@stat.wisc.edu
reStruct, pdMat,
Initialize