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lme4 (version 1.1-35.3)

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

544,654

Version

1.1-35.3

License

GPL (>= 2)

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Repository

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

Maintainer

Ben Bolker

Last Published

April 16th, 2024

Functions in lme4 (1.1-35.3)

Extract the deviance component list

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

Extended Convergence Checking

Verbal Aggression item responses

Assessing Convergence for Fitted Models

Refit a fitted model with all available optimizers

Contagious bovine pleuropneumonia

Deviance Function in Terms of Standard Deviations/Correlations

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

Dummy variables (experimental)

Breakage Angle of Chocolate Cakes

Generator object for the glmFamily class

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

glmFamily-class

Class "glmFamily" - a reference class for family

add information to data based on a fitted model

expandDoubleVerts

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

Determine random-effects expressions from a formula

Extract fixed-effects estimates

Attempt to convert grouping variables to factors

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Check characteristics of models

influence.merMod

Influence Diagnostics for Mixed-Effects Models

Fitting Negative Binomial GLMMs

glmerLaplaceHandle

Handle for glmerLaplace

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

Class "golden" and Generator for Golden Search Optimizer Class

Is f1 nested within f2?

Fit Linear Mixed-Effects Models

Control of Mixed Model Fitting

Linear, generalized linear, and nonlinear mixed models

Class "merMod" of Fitted Mixed-Effect Models

Fit List of lm or glm Objects with a Common Model

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

Generator objects for the response classes

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

Class "merPredD" - a Dense Predictor Reference Class

Detect testing level for lme4 examples and tests

Make Variance and Correlation Matrices from theta

Create a 'merMod' Object

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

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

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Self-naming list function

Manipulate a Nonlinear Model Formula

Generator object for the merPredD class

Modular Functions for Mixed Model Fits

Create an lmerResp, glmResp or nlsResp instance

Extract the modes of the random effects

PCA of random-effects covariance matrix

Fitting Nonlinear Mixed-Effects Models

Omit terms separated by vertical bars in a formula

Diagnostic Plots for 'merMod' Fits

Predictions from a model at new data values

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

Getting p-values for fitted models

profile-methods

Profile method for merMod objects

simulate.formula

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

Wrappers for additional optimizers

Reaction times in a sleep deprivation study

Refit a (merMod) Model with a Different Response

residuals.merMod

residuals of merMod objects

simulate.merMod

Simulate Responses From merMod Object

Class "rePos"

Refit a Model by Maximum Likelihood Criterion

troubleshooting

Troubleshooting

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

Print and Summary Method Utilities for Mixed Effects

"Sub[stitute] Bars"

Convert between representations of (co-)variance structures

Extract Residual Standard Deviation 'Sigma'

Sparse Gaussian / Gauss-Hermite Quadrature grid

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

University Lecture/Instructor Evaluations by Students at ETH

Univariate Gauss-Hermite quadrature rule

Extract Variance and Correlation Components

Paste strength by batch and cask

Arabidopsis clipping/fertilization data

Variation in penicillin testing

Yield of dyestuff by batch

NelderMead-class

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