Class "lme"

Description

A linear mixed-effects model.

Objects from the Class

Objects can be created by calls of the form new("lme", ...).

Slots

reStruct:

Object of class "reStruct", the random-effects structure for the model.

frame:

Object of class "data.frame", the model.frame used to fit the model.

na.action:

Object of class "ANY", the na.action argument used when creating the model.frame.

fitted:

Object of class "numeric", the current fitted values.

call:

Object of class "call", the function call used to create the object.

Extends

Class "lme", directly.

Methods

VarCorr

signature(x = "lme"): extract variance and correlation components.

anova

signature(object = "lme"): calculate analysis of variance tables for linear mixed effects models.

coef

signature(object = "lme"): extract the random effects parameters for the model.

fitted

signature(object = "lme"): extract the fitted values.

fixef

signature(object = "lme"): extract the fixed effects parameters.

formula

signature(x = "lme"): extract the fixed effects formula.

getResponse

signature(object = "lme"): extract the response.

intervals

signature(object = "lme"): calculate confidence intervals.

logLik

signature(object = "lme"): calculate the log-likelihood or log-restricted-likelihood for the model

plot

signature(x = "lme"): plot the fitted model.

ranef

signature(object = "lme"): calculate the random-effects coefficients

residuals

signature(object = "lme"): calculate the residuals from the model fit.

show

signature(object = "lme"): show the object.

summary

signature(object = "lme"): summarize the object.

update

signature(object = "lme"): update the model fit.

Author(s)

Saikat DebRoy saikat@stat.wisc.edu and Douglas Bates bates@stat.wisc.edu

Examples

library(lme4)
data(bdf, package = "nlme")
# This returns an object of class lme
fm <- lme(langPOST ~ IQ.ver.cen + avg.IQ.ver.cen, data = bdf,
          random = ~ IQ.ver.cen | schoolNR)
fm