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lme4 (version 1.1-35)

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

687,353

Version

1.1-35

License

GPL (>= 2)

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Repository

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

Maintainer

Ben Bolker

Last Published

November 3rd, 2023

Functions in lme4 (1.1-35)

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

add information to data based on a fitted model

Attempt to convert grouping variables to factors

Extract or Get Generalized Components from a Fitted Mixed Effects Model

expandDoubleVerts

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

Dummy variables (experimental)

Breakage Angle of Chocolate Cakes

Extract fixed-effects estimates

hatvalues.merMod

Diagonal elements of the hat matrix

Determine random-effects expressions from a formula

Generator object for the glmFamily class

glmFamily-class

Class "glmFamily" - a reference class for family

Data on red grouse ticks from Elston et al. 2001

Fitting Negative Binomial GLMMs

Fitting Generalized Linear Mixed-Effects Models

Is f1 nested within f2?

Check characteristics of models

Test Fitted Model for (Near) Singularity

influence.merMod

Influence Diagnostics for Mixed-Effects Models

Class "golden" and Generator for Golden Search Optimizer Class

glmerLaplaceHandle

Handle for glmerLaplace

Fit List of lm or glm Objects with a Common Model

Linear, generalized linear, and nonlinear mixed models

Fit Linear Mixed-Effects Models

Class "merMod" of Fitted Mixed-Effect Models

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

Control of Mixed Model Fitting

Detect testing level for lme4 examples and tests

Generator objects for the response classes

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

Class "merPredD" - a Dense Predictor Reference Class

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.

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Make Variance and Correlation Matrices from theta

Manipulate a Nonlinear Model Formula

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

PCA of random-effects covariance matrix

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

Create a 'merMod' Object

Generator object for the merPredD class

Fitting Nonlinear Mixed-Effects Models

Predictions from a model at new data values

Getting p-values for fitted models

Diagnostic Plots for 'merMod' Fits

profile-methods

Profile method for merMod objects

residuals.merMod

residuals of merMod objects

Omit terms separated by vertical bars in a formula

Wrappers for additional optimizers

simulate.formula

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

Extract the modes of the random effects

Refit a (merMod) Model with a Different Response

Class "rePos"

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

Reaction times in a sleep deprivation study

simulate.merMod

Simulate Responses From merMod Object

troubleshooting

Troubleshooting

"Sub[stitute] Bars"

Extract Residual Standard Deviation 'Sigma'

Print and Summary Method Utilities for Mixed Effects

Refit a Model by Maximum Likelihood Criterion

Convert between representations of (co-)variance structures

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

Univariate Gauss-Hermite quadrature rule

Sparse Gaussian / Gauss-Hermite Quadrature grid

Yield of dyestuff by batch

NelderMead-class

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

Arabidopsis clipping/fertilization data

Extract Variance and Correlation Components

Paste strength by batch and cask

Variation in penicillin testing

University Lecture/Instructor Evaluations by Students at ETH

Deviance Function in Terms of Standard Deviations/Correlations

Assessing Convergence for Fitted Models

Contagious bovine pleuropneumonia

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

Extract the deviance component list

Extended Convergence Checking

Verbal Aggression item responses

Refit a fitted model with all available optimizers

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