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lme4 (version 1.1-30)

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

1.1-30

License

GPL (>= 2)

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Repository

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

Maintainer

Ben Bolker

Last Published

July 8th, 2022

Functions in lme4 (1.1-30)

Contagious bovine pleuropneumonia

Extended Convergence Checking

Deviance Function in Terms of Standard Deviations/Correlations

Extract the deviance component list

add information to data based on a fitted model

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Extract fixed-effects estimates

Determine random-effects expressions from a formula

Assessing Convergence for Fitted Models

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

Check characteristics of models

glmFamily-class

Class "glmFamily" - a reference class for family

Generator object for the glmFamily class

expandDoubleVerts

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

Attempt to convert grouping variables to factors

hatvalues.merMod

Diagonal elements of the hat matrix

Data on red grouse ticks from Elston et al. 2001

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

Sparse Gaussian / Gauss-Hermite Quadrature grid

Breakage Angle of Chocolate Cakes

glmerLaplaceHandle

Handle for glmerLaplace

Class "golden" and Generator for Golden Search Optimizer Class

Is f1 nested within f2?

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

influence.merMod

Influence Diagnostics for Mixed-Effects Models

Generator objects for the response classes

Class "merMod" of Fitted Mixed-Effect Models

Fitting Generalized Linear Mixed-Effects Models

Refit a fitted model with all available optimizers

Dummy variables (experimental)

Verbal Aggression item responses

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

Fit Linear Mixed-Effects Models

Control of Mixed Model Fitting

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Fitting Negative Binomial GLMMs

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

Make Variance and Correlation Matrices from theta

Class "merPredD" - a Dense Predictor Reference Class

Refit a Model by Maximum Likelihood Criterion

residuals.merMod

residuals of merMod objects

PCA of random-effects covariance matrix

Create an lmerResp, glmResp or nlsResp instance

Diagnostic Plots for 'merMod' Fits

Class "rePos"

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

Getting p-values for fitted models

Extract the modes of the random effects

Linear, generalized linear, and nonlinear mixed models

Print and Summary Method Utilities for Mixed Effects

Convert between representations of (co-)variance structures

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

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

Refit a (merMod) Model with a Different Response

Create a 'merMod' Object

Detect testing level for lme4 examples and tests

Generator object for the merPredD class

Wrappers for additional optimizers

simulate.merMod

Simulate Responses From merMod Object

Omit terms separated by vertical bars in a formula

Reaction times in a sleep deprivation study

Manipulate a Nonlinear Model Formula

"Sub[stitute] Bars"

Predictions from a model at new data values

Fitting Nonlinear Mixed-Effects Models

troubleshooting

Troubleshooting

profile-methods

Profile method for merMod objects

Extract Residual Standard Deviation 'Sigma'

simulate.formula

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

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

Modular Functions for Mixed Model Fits

Arabidopsis clipping/fertilization data

Univariate Gauss-Hermite quadrature rule

Variation in penicillin testing

University Lecture/Instructor Evaluations by Students at ETH

NelderMead-class

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

Yield of dyestuff by batch

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

Paste strength by batch and cask

Extract Variance and Correlation Components