lme-class {lme4} | R Documentation |
A linear mixed-effects model.
Objects can be created by calls of the form new("lme", ...)
.
reStruct
:"reStruct"
,
the random-effects structure for the model.frame
:"data.frame"
,
the model.frame used to fit the model.na.action
:"ANY"
,
the na.action
argument used when creating the
model.frame
.fitted
:"numeric"
, the current
fitted values.call
:"call"
,
the function call used to create the object.
Class "lme"
, directly.
signature(x = "lme")
: extract variance and correlation components.signature(object = "lme")
: calculate analysis of
variance tables for linear mixed effects models.signature(object = "lme")
: extract the
random effects parameters for the model.signature(object = "lme")
: extract the fitted values.signature(object = "lme")
: extract the fixed
effects parameters.signature(x = "lme")
: extract the fixed
effects formula.signature(object = "lme")
: extract the response.signature(object = "lme")
: calculate
confidence intervals.signature(object = "lme")
: calculate the
log-likelihood or log-restricted-likelihood for the modelsignature(x = "lme")
: plot the fitted model.signature(object = "lme")
: calculate the
random-effects coefficientssignature(object = "lme")
: calculate the
residuals from the model fit.signature(object = "lme")
: show the object.signature(object = "lme")
: summarize the object.signature(object = "lme")
: update the model fit.Saikat DebRoy saikat@stat.wisc.edu and Douglas Bates bates@stat.wisc.edu
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