lme4 v0.4-4


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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
LMEoptimizeGets Optimize linear mixed-effects
GLMM Fit Generalized Linear Mixed Models via PQL
corMatrix Generate the correlation matrix
fixed.effects Extract Fixed Effects
corFactor Extract the correlation factor
BIC Bayesian Information Criterion
nfGroupedData-class Class "nfGroupedData"
solve-methods Methods for Function solve
glmmStruct Create a glmm object
Hsb82 High School and Beyond - 1982
corrmatrix-class Class "corrmatrix"
Names Extract or assign Names
guPrenat Prenatal care in Guatemala
lme-class Class "lme"
family-class Class "family"
coefGets Assign parameters
coerce-methods Coercion methods and assignments
matrixGets Assign the matrix
EMstepsGets Perform EM iterations
lme Fit linear mixed-effects models
pdmatrix-class Positive-definite matrices
pdIdent-class Class "pdIdent"
isInitialized Check for initialization
pdBlocked-class Class "pdBlocked", blocked pd matrices
pdFactor Square-root factor
groupedData-class Class "groupedData"
VarCorr-class Class "VarCorr"
pdfactor-class Factors of positive-definite matrices
nffGroupedData-class Class "nffGroupedData"
glmm-class Class "glmm"
intervals Confidence Intervals on Coefficients
pdDiag-class Class "pdDiag"
guImmun Immunization in Guatemala
pdLogChol-class Class "pdLogChol", positive-definite matrices
pdgradNumeric Evaluate the pdmatrix gradient numerically
random.effects Extract Random Effects
pdMatrix Return the positive-definite matrix
pdMat-class Class pdMat, positive-definite matrices
nlme-internal Internal nlme functions
model.matrixGets Assign the model.matrix
LMEgradient The gradient and Hessian in lme optimization-method
formulas Utilities for formulas
nfnGroupedData-class Class "nfnGroupedData"
nmGroupedData-class Class "nmGroupedData"
pdgradient Evaluated the pdmatrix gradient
logDet Logarithm of the determinant
lmeLevel Construct an lmeLevel object
summary.reStruct-class Class "summary.reStruct"
reStruct-class Class "reStruct"
lmList-class Class "lmList"
responseGets Modify the response
pdCompSymm-class Class "pdCompSymm"
reStruct Create an reStruct object
nlmeInternal-class Some internal classes
VarCorr Extract variance and correlation components
EMupdateGets Update an object in the EM algorithm
lmList List of lm Objects with a Common Model
pooledSD Extract pooled standard deviation
weightedGets Modify the weights
lmeLevel-class Class "lmeLevel"
lmeControl Control values for lme
pdNatural-class Class "pdNatural", positive-definite matrices
s3bbx Covariates in the Rodriguez and Goldman simulation
s3bby Responses simulated by Rodriguez and Goldman
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Date 2003/10/14
License GPL version 2 or later

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