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update.varFunc

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)

José Pinheiro and Douglas Bates bates@stat.wisc.edu

See Also


nlme

Linear and Nonlinear Mixed Effects Models

v3.1-152
GPL (>= 2) | file LICENCE
Authors
José Pinheiro [aut] (S version), Douglas Bates [aut] (up to 2007), Saikat DebRoy [ctb] (up to 2002), Deepayan Sarkar [ctb] (up to 2005), EISPACK authors [ctb] (src/rs.f), Siem Heisterkamp [ctb] (Author fixed sigma), Bert Van Willigen [ctb] (Programmer fixed sigma), Johannes Ranke [ctb] (varConstProp()), R-core [aut, cre]
Initial release
2021-02-03

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