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lme4 (version 0.4-3)
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
539,960
Version
0.4-3
License
GPL version 2 or later
Maintainer
Douglas Bates
Last Published
March 26th, 2025
Functions in lme4 (0.4-3)
Search all functions
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