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lme4 (version 1.1-38)

Linear Mixed-Effects Models using 'Eigen' and S4

Description

Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".

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Install

install.packages('lme4')

Monthly Downloads

578,990

Version

1.1-38

License

GPL (>= 2)

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Repository

https://github.com/lme4/lme4/

Maintainer

Ben Bolker

Last Published

December 2nd, 2025

Functions in lme4 (1.1-38)

Extended Convergence Checking

Coral-eating seastar Culcita novaeguineae data (binary predation version)

Compute Confidence Intervals for Parameters of a [ng]lmer Fit

Assessing Convergence for Fitted Models

Verbal Aggression item responses

Refit a fitted model with all available optimizers to check convergence

Model-based (Semi-)Parametric Bootstrap for Mixed Models

Breakage Angle of Chocolate Cakes

Contagious bovine pleuropneumonia (extended version)

Contagious bovine pleuropneumonia

Dummy variables (experimental)

glmFamily-class

Class "glmFamily" - a reference class for family

add information to data based on a fitted model

Extract the deviance component list

Deviance Function in Terms of Standard Deviations/Correlations

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Coral-eating seastar Culcita novaeguineae data (volume loss version)

Extract fixed-effects estimates

Drop all possible single fixed-effect terms from a mixed effect model

Attempt to convert grouping variables to factors

Check characteristics of models

hatvalues.merMod

Diagonal elements of the hat matrix

Fitting Generalized Linear Mixed-Effects Models

Fitting Negative Binomial GLMMs

Gopher tortoises shell remains

glmerLaplaceHandle

Handle for glmerLaplace

influence.merMod

Influence Diagnostics for Mixed-Effects Models

Data on red grouse ticks from Elston et al. 2001

Class "golden" and Generator for Golden Search Optimizer Class

Generator object for the glmFamily class

Control of Mixed Model Fitting

Generator objects for the response classes

Detect testing level for lme4 examples and tests

Linear, generalized linear, and nonlinear mixed models

Fit List of lm or glm Objects with a Common Model

Test Fitted Model for (Near) Singularity

Class "lmList4" of 'lm' Objects on Common Model

Class "merMod" of Fitted Mixed-Effect Models

Fit Linear Mixed-Effects Models

Reference Classes for Response Modules, "(lm|glm|nls|lmer)Resp"

Make new random effect terms for prediction

Self-naming list function

Make Variance and Correlation Matrices from theta

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Number of Levels of a Factor or a "merMod" Model

Create an lmerResp, glmResp or nlsResp instance

Create a 'merMod' Object

Class "merPredD" - a Dense Predictor Reference Class

Generator object for the merPredD class

Modular Functions for Mixed Model Fits

profile-methods

Profile method for merMod objects

Mixed-Effects Profile Plots (Regular / Density / Pairs)

Predictions from a model at new data values

Wrappers for additional optimizers

PCA of random-effects covariance matrix

Manipulate a Nonlinear Model Formula

Fitting Nonlinear Mixed-Effects Models

Extract the modes of the random effects

Getting p-values for fitted models

Diagnostic Plots for 'merMod' Fits

Extract Residual Standard Deviation 'Sigma'

Refit a Model by Maximum Likelihood Criterion

Refit a (merMod) Model with a Different Response

Mountain dusky salamander mating

residuals.merMod

residuals of merMod objects

reformulas_imports

(deprecated) formula-processing functions

simulate.formula

A simulate Method for formula objects that dispatches based on the Left-Hand Side

Class "rePos"

Generator object for the rePos (random-effects positions) class

National Institute of Mental Health Schizophrenia Collaborative Study

Covariance matrix of estimated parameters

Summary for a [ng]lmer Fit

Convert between representations of (co-)variance structures

simulate.merMod

Simulate Responses From merMod Object

Print and Summary Method Utilities for Mixed Effects

Toenail onychomycosis data from dermatophyte infections

troubleshooting

Troubleshooting

Reaction times in a sleep deprivation study

Sparse Gaussian / Gauss-Hermite Quadrature grid

Univariate Gauss-Hermite quadrature rule

Yield of dyestuff by batch

University Lecture/Instructor Evaluations by Students at ETH

Nelder-Mead Optimization of Parameters, Possibly (Box) Constrained

Arabidopsis clipping/fertilization data

Variation in penicillin testing

Paste strength by batch and cask

Extract Variance and Correlation Components

NelderMead-class

Class "NelderMead" of Nelder-Mead optimizers and its Generator