update.varFunc {nlme} | R Documentation

## Update varFunc Object

### Description

If the `formula(object)` includes a `"."` term, representing a fitted object, the variance covariate needs to be updated upon completion of an optimization cycle (in which the variance function weights are kept fixed). This method function allows a reevaluation of the variance covariate using the current fitted object and, optionally, other variables in the original data.

### Usage

    ## S3 method for class 'varFunc':
    update(object, data, ...)

### Arguments

`object` | an object inheriting from class `varFunc`, representing a variance function structure.
`data` | a list with a component named `"."` with the current version of the fitted object (from which fitted values, coefficients, and residuals can be extracted) and, if necessary, other variables used to evaluate the variance covariate(s).
`...` | some methods for this generic require additional arguments. None are used in this method.

### Value

if `formula(object)` includes a `"."` term, an `varFunc` object similar to `object`, but with the variance covariate reevaluated at the current fitted object value; else `object` is returned unchanged.

### Author(s)

Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu

### See Also

`needUpdate`, `covariate<-.varFunc`

[Package nlme version 3.1-68.1 Index]