lme4 v0.3-1

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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
LMEgradient The gradient in lme optimization
lmeLevel Construct an lmeLevel object
VarCorr Extract variance and correlation components
lme Fit linear mixed-effects models
formulas Utilities for formulas
corMatrix Generate the correlation matrix
groupedData-class Class "groupedData"
intervals Confidence Intervals on Coefficients
family-class Class "family"
nffGroupedData-class Class "nffGroupedData"
coefGets Assign parameters
Names Extract or assign Names
matrixGets Assign the matrix
EMupdateGets Update an object in the EM algorithm
nfGroupedData-class Class "nfGroupedData"
logLik-methods Methods for Function logLik
Hsb82 High School and Beyond - 1982
logDet Logarithm of the determinant
lme-class Class "lme"
corFactor Extract the correlation factor
isInitialized Check for initialization
pdMat-class Class pdMat, positive-definite matrices
responseGets Modify the response
glmmStruct Create a glmm object
guPrenat Prenatal care in Guatemala
lmList-class Class "lmList"
pdgradNumeric Evaluate the pdmatrix gradient numerically
summary.reStruct-class Class "summary.reStruct"
pdmatrix-class Positive-definite matrices
nlmeInternal-class Some internal classes
EMstepsGets Perform EM iterations
solve-methods Methods for Function solve
model.matrixGets Assign the model.matrix
pdfactor-class Factors of positive-definite matrices
weightedGets Modify the weights
lmeControl Control values for lme
lmList List of lm Objects with a Common Model
nfnGroupedData-class Class "nfnGroupedData"
fixed.effects Extract Fixed Effects
pdgradient Evaluated the pdmatrix gradient
GLMM Fit Generalized Linear Mixed Models via PQL
BIC Bayesian Information Criterion
guImmun Immunization in Guatemala
pdLogChol-class Class "pdLogChol", positive-definite matrices
pooledSD Extract pooled standard deviation
LMEoptimizeGets Optimize linear mixed-effects
corrmatrix-class Class "corrmatrix"
lmeLevel-class Class "lmeLevel"
pdDiag-class Class "pdDiag"
pdFactor Square-root factor
glmm-class Class "glmm"
nmGroupedData-class Class "nmGroupedData"
random.effects Extract Random Effects
pdIdent-class Class "pdIdent"
pdMatrix Return the positive-definite matrix
reStruct Create an reStruct object
pdNatural-class Class "pdNatural", positive-definite matrices
nlme-internal Internal nlme functions
pdBlocked-class Class "pdBlocked", blocked pd matrices
VarCorr-class Class "VarCorr"
pdCompSymm-class Class "pdCompSymm"
reStruct-class Class "reStruct"
s3bbx Covariates in the Rodriguez and Goldman simulation
s3bby Responses simulated by Rodriguez and Goldman
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Date 2003/07/17
License GPL version 2 or later

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