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lme4 (version 0.4-4)
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
495,537
Version
0.4-4
License
GPL version 2 or later
Maintainer
Douglas Bates
Last Published
March 26th, 2025
Functions in lme4 (0.4-4)
Search all functions
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