fitted.nlmeStruct {nlme} | R Documentation |
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 class 'nlmeStruct': fitted(object, level, conLin, ...)
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. |
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.
This method function is generally only used inside nlme
and
fitted.nlme
.
Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu
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/