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lme4 (version 1.1-37)

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

584,145

Version

1.1-37

License

GPL (>= 2)

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Repository

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

Maintainer

Ben Bolker

Last Published

March 26th, 2025

Functions in lme4 (1.1-37)

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

Assessing Convergence for Fitted Models

Extract the deviance component list

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

Refit a fitted model with all available optimizers

Verbal Aggression item responses

Extended Convergence Checking

Breakage Angle of Chocolate Cakes

add information to data based on a fitted model

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

Determine random-effects expressions from a formula

Generator object for the glmFamily class

Extract fixed-effects estimates

glmFamily-class

Class "glmFamily" - a reference class for family

expandDoubleVerts

Expand terms with '||' notation into separate '|' terms

Attempt to convert grouping variables to factors

Dummy variables (experimental)

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Is f1 nested within f2?

influence.merMod

Influence Diagnostics for Mixed-Effects Models

Check characteristics of models

Test Fitted Model for (Near) Singularity

Fitting Generalized Linear Mixed-Effects Models

Class "golden" and Generator for Golden Search Optimizer Class

glmerLaplaceHandle

Handle for glmerLaplace

Fitting Negative Binomial GLMMs

hatvalues.merMod

Diagonal elements of the hat matrix

Linear, generalized linear, and nonlinear mixed models

Data on red grouse ticks from Elston et al. 2001

Fit Linear Mixed-Effects Models

Detect testing level for lme4 examples and tests

Control of Mixed Model Fitting

Generator objects for the response classes

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

Class "merMod" of Fitted Mixed-Effect Models

Class "merPredD" - a Dense Predictor Reference Class

Fit List of lm or glm Objects with a Common Model

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

Manipulate a Nonlinear Model Formula

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

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Make Variance and Correlation Matrices from theta

Self-naming list function

Modular Functions for Mixed Model Fits

Create an lmerResp, glmResp or nlsResp instance

Make Random Effect Terms: Create Z, Lambda, Lind, etc.

Generator object for the merPredD class

Create a 'merMod' Object

Predictions from a model at new data values

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

Getting p-values for fitted models

Fitting Nonlinear Mixed-Effects Models

PCA of random-effects covariance matrix

Wrappers for additional optimizers

profile-methods

Profile method for merMod objects

Omit terms separated by vertical bars in a formula

Diagnostic Plots for 'merMod' Fits

Extract the modes of the random effects

Refit a Model by Maximum Likelihood Criterion

Refit a (merMod) Model with a Different Response

simulate.formula

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

Extract Residual Standard Deviation 'Sigma'

residuals.merMod

residuals of merMod objects

Reaction times in a sleep deprivation study

simulate.merMod

Simulate Responses From merMod Object

Class "rePos"

"Sub[stitute] Bars"

Print and Summary Method Utilities for Mixed Effects

troubleshooting

Troubleshooting

Convert between representations of (co-)variance structures

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

Covariance matrix of estimated parameters

Sparse Gaussian / Gauss-Hermite Quadrature grid

Yield of dyestuff by batch

Paste strength by batch and cask

Univariate Gauss-Hermite quadrature rule

Variation in penicillin testing

Arabidopsis clipping/fertilization data

Extract Variance and Correlation Components

NelderMead-class

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

University Lecture/Instructor Evaluations by Students at ETH

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

Contagious bovine pleuropneumonia

Deviance Function in Terms of Standard Deviations/Correlations