lme4 v0.3-4


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by Douglas Bates

Linear mixed-effects models using S4 classes

Fit linear and generalized linear mixed-effects models.

Functions in lme4

Name Description
VarCorr Extract variance and correlation components
nlme-internal Internal nlme functions
LMEgradient The gradient in lme optimization
family-class Class "family"
LMEoptimizeGets Optimize linear mixed-effects
Hsb82 High School and Beyond - 1982
pdLogChol-class Class "pdLogChol", positive-definite matrices
VarCorr-class Class "VarCorr"
BIC Bayesian Information Criterion
corMatrix Generate the correlation matrix
GLMM Fit Generalized Linear Mixed Models via PQL
pdgradNumeric Evaluate the pdmatrix gradient numerically
guPrenat Prenatal care in Guatemala
fixed.effects Extract Fixed Effects
lmList List of lm Objects with a Common Model
corFactor Extract the correlation factor
random.effects Extract Random Effects
solve-methods Methods for Function solve
pdMat-class Class pdMat, positive-definite matrices
glmm-class Class "glmm"
reStruct Create an reStruct object
nlmeInternal-class Some internal classes
pdBlocked-class Class "pdBlocked", blocked pd matrices
corrmatrix-class Class "corrmatrix"
model.matrixGets Assign the model.matrix
groupedData-class Class "groupedData"
lmeLevel-class Class "lmeLevel"
pdmatrix-class Positive-definite matrices
lmeControl Control values for lme
Names Extract or assign Names
EMupdateGets Update an object in the EM algorithm
nfGroupedData-class Class "nfGroupedData"
intervals Confidence Intervals on Coefficients
lmList-class Class "lmList"
isInitialized Check for initialization
nmGroupedData-class Class "nmGroupedData"
pooledSD Extract pooled standard deviation
logDet Logarithm of the determinant
guImmun Immunization in Guatemala
formulas Utilities for formulas
pdgradient Evaluated the pdmatrix gradient
pdCompSymm-class Class "pdCompSymm"
lmeLevel Construct an lmeLevel object
matrixGets Assign the matrix
responseGets Modify the response
lme Fit linear mixed-effects models
coefGets Assign parameters
summary.reStruct-class Class "summary.reStruct"
pdNatural-class Class "pdNatural", positive-definite matrices
nfnGroupedData-class Class "nfnGroupedData"
glmmStruct Create a glmm object
pdFactor Square-root factor
pdfactor-class Factors of positive-definite matrices
nffGroupedData-class Class "nffGroupedData"
pdIdent-class Class "pdIdent"
pdMatrix Return the positive-definite matrix
pdDiag-class Class "pdDiag"
reStruct-class Class "reStruct"
lme-class Class "lme"
EMstepsGets Perform EM iterations
weightedGets Modify the weights
s3bby Responses simulated by Rodriguez and Goldman
s3bbx Covariates in the Rodriguez and Goldman simulation
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Date 2003/08/11
License GPL version 2 or later

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