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 'lme':
fitted(object, level, asList, \dots)
Arguments
Value
If a single level of grouping is specified in level, the
returned value is either a list with the fitted values split by groups
(asList = TRUE) or a vector with the fitted values
(asList = FALSE); else, when multiple grouping levels are
specified in level, the returned object is a data frame with
columns given by the fitted values at different levels and the
grouping factors. For a vector or data frame result the
napredict method is applied.
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/
Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models
in S and S-PLUS", Springer, esp. pp. 235, 397.