Learn R Programming

⚠️There's a newer version (1.1-38) of this package.Take me there.

lme4 (version 1.1-36)

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".

Copy Link

Version

Install

install.packages('lme4')

Monthly Downloads

578,990

Version

1.1-36

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Repository

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

Maintainer

Ben Bolker

Last Published

January 11th, 2025

Functions in lme4 (1.1-36)

Extract the deviance component list

Assessing Convergence for Fitted Models

Contagious bovine pleuropneumonia

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

Verbal Aggression item responses

Refit a fitted model with all available optimizers

Deviance Function in Terms of Standard Deviations/Correlations

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

Extended Convergence Checking

Breakage Angle of Chocolate Cakes

add information to data based on a fitted model

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Dummy variables (experimental)

glmFamily-class

Class "glmFamily" - a reference class for family

Generator object for the glmFamily class

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

Determine random-effects expressions from a formula

Attempt to convert grouping variables to factors

expandDoubleVerts

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

Extract fixed-effects estimates

Fitting Negative Binomial GLMMs

Check characteristics of models

glmerLaplaceHandle

Handle for glmerLaplace

Class "golden" and Generator for Golden Search Optimizer Class

influence.merMod

Influence Diagnostics for Mixed-Effects Models

Fitting Generalized Linear Mixed-Effects Models

hatvalues.merMod

Diagonal elements of the hat matrix

Data on red grouse ticks from Elston et al. 2001

Test Fitted Model for (Near) Singularity

Is f1 nested within f2?

Detect testing level for lme4 examples and tests

Fit List of lm or glm Objects with a Common Model

Generator objects for the response classes

Linear, generalized linear, and nonlinear mixed models

Class "merPredD" - a Dense Predictor Reference Class

Class "merMod" of Fitted Mixed-Effect Models

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

Fit Linear Mixed-Effects Models

Control of Mixed Model Fitting

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

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Make Variance and Correlation Matrices from theta

Modular Functions for Mixed Model Fits

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

Manipulate a Nonlinear Model Formula

Create an lmerResp, glmResp or nlsResp instance

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

Create a 'merMod' Object

Generator object for the merPredD class

Self-naming list function

Extract the modes of the random effects

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

PCA of random-effects covariance matrix

Diagnostic Plots for 'merMod' Fits

Fitting Nonlinear Mixed-Effects Models

profile-methods

Profile method for merMod objects

Wrappers for additional optimizers

Omit terms separated by vertical bars in a formula

Getting p-values for fitted models

Reaction times in a sleep deprivation study

simulate.formula

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

residuals.merMod

residuals of merMod objects

Predictions from a model at new data values

simulate.merMod

Simulate Responses From merMod Object

Class "rePos"

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

troubleshooting

Troubleshooting

Refit a (merMod) Model with a Different Response

Refit a Model by Maximum Likelihood Criterion

Print and Summary Method Utilities for Mixed Effects

"Sub[stitute] Bars"

Extract Residual Standard Deviation 'Sigma'

Convert between representations of (co-)variance structures

Covariance matrix of estimated parameters

Univariate Gauss-Hermite quadrature rule

Yield of dyestuff by batch

University Lecture/Instructor Evaluations by Students at ETH

Sparse Gaussian / Gauss-Hermite Quadrature grid

Extract Variance and Correlation Components

NelderMead-class

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

Variation in penicillin testing

Arabidopsis clipping/fertilization data

Paste strength by batch and cask

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