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lme4 (version 0.3-4)
Linear mixed-effects models using S4 classes
Description
Fit linear and generalized linear mixed-effects models.
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Install
install.packages('lme4')
Monthly Downloads
389,866
Version
0.3-4
License
GPL version 2 or later
Maintainer
Douglas Bates
Last Published
March 26th, 2025
Functions in lme4 (0.3-4)
Search all functions
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