lme4 v0.4-3

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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
guImmun Immunization in Guatemala
nmGroupedData-class Class "nmGroupedData"
pdgradNumeric Evaluate the pdmatrix gradient numerically
isInitialized Check for initialization
nlme-internal Internal nlme functions
coerce-methods Coercion methods and assignments
LMEoptimizeGets Optimize linear mixed-effects
lmeControl Control values for lme
pdMat-class Class pdMat, positive-definite matrices
pdCompSymm-class Class "pdCompSymm"
pdBlocked-class Class "pdBlocked", blocked pd matrices
glmm-class Class "glmm"
fixed.effects Extract Fixed Effects
GLMM Fit Generalized Linear Mixed Models via PQL
corFactor Extract the correlation factor
Hsb82 High School and Beyond - 1982
VarCorr-class Class "VarCorr"
glmmStruct Create a glmm object
nffGroupedData-class Class "nffGroupedData"
pdfactor-class Factors of positive-definite matrices
lmList List of lm Objects with a Common Model
nfGroupedData-class Class "nfGroupedData"
guPrenat Prenatal care in Guatemala
family-class Class "family"
formulas Utilities for formulas
pdDiag-class Class "pdDiag"
nfnGroupedData-class Class "nfnGroupedData"
BIC Bayesian Information Criterion
lmeLevel-class Class "lmeLevel"
weightedGets Modify the weights
lmeLevel Construct an lmeLevel object
pooledSD Extract pooled standard deviation
pdFactor Square-root factor
pdLogChol-class Class "pdLogChol", positive-definite matrices
pdIdent-class Class "pdIdent"
summary.reStruct-class Class "summary.reStruct"
corMatrix Generate the correlation matrix
LMEgradient The gradient and Hessian in lme optimization-method
lme-class Class "lme"
pdgradient Evaluated the pdmatrix gradient
lme Fit linear mixed-effects models
nlmeInternal-class Some internal classes
intervals Confidence Intervals on Coefficients
EMstepsGets Perform EM iterations
pdMatrix Return the positive-definite matrix
matrixGets Assign the matrix
reStruct-class Class "reStruct"
logDet Logarithm of the determinant
model.matrixGets Assign the model.matrix
Names Extract or assign Names
VarCorr Extract variance and correlation components
groupedData-class Class "groupedData"
coefGets Assign parameters
pdNatural-class Class "pdNatural", positive-definite matrices
lmList-class Class "lmList"
solve-methods Methods for Function solve
random.effects Extract Random Effects
EMupdateGets Update an object in the EM algorithm
corrmatrix-class Class "corrmatrix"
reStruct Create an reStruct object
pdmatrix-class Positive-definite matrices
responseGets Modify the response
s3bbx Covariates in the Rodriguez and Goldman simulation
s3bby Responses simulated by Rodriguez and Goldman
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Date 2003/09/30
License GPL version 2 or later

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