fitted.nlmeStruct {nlme} | R Documentation

## 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)

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

### 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`

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