This method initializes object by evaluating its associated
covariate(s) and grouping factor, if any is present, in data;
determining if the covariate(s) need to be updated when the
values of the coefficients associated with object change;
initializing the log-likelihood and the weights associated with
object; and assigning initial values for the coefficients in
object, if none were present. The covariate(s) will only be
initialized if no update is needed when coef(object) changes.
Usage
## S3 method for class 'varFunc':
Initialize(object, data, \dots)
Arguments
object
an object inheriting from class "varFunc",
representing a variance function structure.
data
a data frame in which to evaluate the variables named in
formula(object).
...
this argument is included to make this method compatible
with the generic.
Value
an initialized object with the same class as object
representing a variance function structure.