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 \(i\).
# S3 method for nlmeStruct
fitted(object, level, conLin, …)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.
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.
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.
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.
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/