fitted.lmeStruct 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)

José Pinheiro and Douglas Bates [email protected]

See Also

lme, fitted.lme, residuals.lmeStruct

Copyright (©) 1999–2012 R Foundation for Statistical Computing.
Licensed under the GNU General Public License.