fitted.lmeStruct {nlme} | R Documentation

## Calculate lmeStruct Fitted Values

### Description

The fitted values at level i are obtained by adding together the population fitted values (based only on the fixed effects estimates) and the estimated contributions of the random effects to the fitted values at grouping levels less or equal to i. The resulting values estimate the best linear unbiased predictions (BLUPs) at level i.

### Usage

    ## S3 method for class 'lmeStruct':
    fitted(object, level, conLin, lmeFit, ...)

### Arguments

`object` | an object inheriting from class `lmeStruct`, representing a list of linear mixed-effects model components, such as `reStruct`, `corStruct`, and `varFunc` objects.
`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 lme model. Defaults to `attr(object, "conLin")`.
`lmeFit` | an optional list with components `beta` and `b` containing respectively the fixed effects estimates and the random effects estimates to be used to calculate the fitted values. Defaults to `attr(object, "lmeFit")`.
`...` | some methods for this generic accept other optional arguments.

### 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 `lme` and `fitted.lme`.

### 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://franz.stat.wisc.edu/pub/NLME/

### See Also

`lme`, `fitted.lme`, `residuals.lmeStruct`

[Package nlme version 3.1-86 Index]