Initialize.reStruct

an object inheriting from class <code>reStruct</code>,
   representing a random effects structure and consisting of a list of
   <code>pdMat</code> objects.

object

a data frame in which to evaluate the variables defined in
   <code>formula(object)</code>.

data

a condensed linear model object, consisting of a list
   with components <code>"Xy"</code>, corresponding to a regression matrix
   (<code>X</code>) combined with a response vector (<code>y</code>), and
   <code>"logLik"</code>, corresponding to the log-l

conLin

an optional list with a single component <code>niterEM</code>
   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 <code>Initialize</code> methods

control

some methods for this generic require additional
    arguments.  None are used in this method.

Initial estimates for the parameters in the <code>pdMat</code> objects
  forming <code>object</code>, 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 <code>control</code>.

models

Fit and compare Gaussian linear and nonlinear
        mixed-effects models.

Initialize.reStruct: Initialize reStruct Object

Description

Usage

Arguments

Value

See Also