recalc.varFunc

recalc.varIdent

an object inheriting from class <code>varFunc</code>,
   representing a variance function structure.

object

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

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

This method function pre-multiples the <code>"Xy"</code> component of
  <code>conLin</code> by a diagonal matrix with diagonal elements given by the
  weights corresponding to the variance structure represented by
  <code>object</code>e and adds the log-likelihood contribution of
  <code>object</code>, given by <code>logLik(object)</code>, to the <code>"logLik"</code>
  component of <code>conLin</code>.

models

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

recalc.varFunc: Recalculate for varFunc Object

Description

Usage

Arguments

Value

See Also