fitted.nlmeStruct: Calculate nlmeStruct Fitted Values

In nlme: Linear and Nonlinear Mixed Effects Models

Calculate nlmeStruct Fitted Values

Description

The fitted values at level i are obtained by adding together the contributions from the estimated fixed effects and the estimated random effects at levels less or equal to i and evaluating the model function at the resulting estimated parameters. The resulting values estimate the predictions at level i.

Usage

## S3 method for class 'nlmeStruct'
fitted(object, level, conLin, ...)

Arguments

object	an object inheriting from class "nlmeStruct", representing a list of mixed-effects model components, such as reStruct, corStruct, and varFunc objects, plus attributes specifying the underlying nonlinear model and the response variable.
level	an optional integer vector giving the level(s) of grouping to be used in extracting the fitted values from object. Level values increase from outermost to innermost grouping, with level zero corresponding to the population fitted values. Defaults to the highest or innermost level of grouping.
conLin	an optional condensed linear model object, consisting of a list with components "Xy", corresponding to a regression matrix (X) combined with a response vector (y), and "logLik", corresponding to the log-likelihood of the underlying nlme model. Defaults to attr(object, "conLin").
...	additional arguments that could be given to this method. None are used.

Value

if a single level of grouping is specified in level, the returned value is a vector with the fitted values at the desired level; else, when multiple grouping levels are specified in level, the returned object is a matrix with columns given by the fitted values at different levels.

Note

This method function is generally only used inside nlme and fitted.nlme.

Author(s)

José Pinheiro and Douglas Bates [e-mail]

References

Bates, D.M. and Pinheiro, J.C. (1998) "Computational methods for multilevel models" available in PostScript or PDF formats at http://nlme.stat.wisc.edu/pub/NLME/

See Also

nlme, residuals.nlmeStruct

nlme documentation built on Nov. 27, 2023, 5:09 p.m.