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`

[Package

*nlme* version 3.1-66

Index]