lme4 v0.2-3


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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
logLik-methods Methods for Function logLik
corFactor Extract the correlation factor
lme Fit linear mixed-effects models
Hsb82 High School and Beyond - 1982
lmeControl Control values for lme
LMEgradient The gradient in lme optimization
nfnGroupedData-class Class "nfnGroupedData"
matrixGets Assign the matrix
nfGroupedData-class Class "nfGroupedData"
glmmStruct Create a glmm object
random.effects Extract Random Effects
lmList List of lm Objects with a Common Model
LMEoptimizeGets Optimize linear mixed-effects
coefGets Assign parameters
pdDiag-class Class "pdDiag"
BIC Bayesian Information Criterion
pdMatrix Return the positive-definite matrix
nffGroupedData-class Class "nffGroupedData"
lmeLevel-class Class "lmeLevel"
family-class Class "family"
nlmeInternal-class Some internal classes
guPrenat Prenatal care in Guatemala
lmeLevel Construct an lmeLevel object
logDet Logarithm of the determinant
fixed.effects Extract Fixed Effects
guImmun Immunization in Guatemala
GLMM Fit Generalized Linear Mixed Models via PQL
pdgradNumeric Evaluate the pdmatrix gradient numerically
pdfactor-class Factors of positive-definite matrices
EMstepsGets Perform EM iterations
formulas Utilities for formulas
VarCorr-class Class "VarCorr"
Names Extract or assign Names
corMatrix Generate the correlation matrix
glmm-class Class "glmm"
pdNatural-class Class "pdNatural", positive-definite matrices
corrmatrix-class Class "corrmatrix"
groupedData-class Class "groupedData"
summary.reStruct-class Class "summary.reStruct"
reStruct Create an reStruct object
intervals Confidence Intervals on Coefficients
pdCompSymm-class Class "pdCompSymm"
responseGets Modify the response
pdBlocked-class Class "pdBlocked", blocked pd matrices
lmList-class Class "lmList"
solve-methods Methods for Function solve
pdmatrix-class Positive-definite matrices
weightedGets Modify the weights
EMupdateGets Update an object in the EM algorithm
pooledSD Extract pooled standard deviation
nlme-internal Internal nlme functions
reStruct-class Class "reStruct"
pdMat-class Class pdMat, positive-definite matrices
pdFactor Square-root factor
nmGroupedData-class Class "nmGroupedData"
lme-class Class "lme"
pdgradient Evaluated the pdmatrix gradient
pdIdent-class Class "pdIdent"
VarCorr Extract variance and correlation components
model.matrixGets Assign the model.matrix
isInitialized Check for initialization
pdLogChol-class Class "pdLogChol", positive-definite matrices
s3bby Responses simulated by Rodriguez and Goldman
s3bbx Covariates in the Rodriguez and Goldman simulation
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Date 2003/07/02
License GPL version 2 or later

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