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lme4 (version 1.1-27)

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

1.1-27

License

GPL (>= 2)

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Repository

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

Maintainer

Ben Bolker

Last Published

May 15th, 2021

Functions in lme4 (1.1-27)

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

Deviance Function in Terms of Standard Deviations/Correlations

Extract the deviance component list

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

add information to data based on a fitted model

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Breakage Angle of Chocolate Cakes

Refit a fitted model with all available optimizers

Verbal Aggression item responses

Test Fitted Model for (Near) Singularity

glmerLaplaceHandle

Handle for glmerLaplace

Class "golden" and Generator for Golden Search Optimizer Class

Check characteristics of models

Dummy variables (experimental)

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

Assessing Convergence for Fitted Models

Fitting Generalized Linear Mixed-Effects Models

Fitting Negative Binomial GLMMs

expandDoubleVerts

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

Linear, generalized linear, and nonlinear mixed models

Generator objects for the response classes

Extract fixed-effects estimates

NelderMead-class

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

Determine random-effects expressions from a formula

Detect testing level for lme4 examples and tests

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

Data on red grouse ticks from Elston et al. 2001

hatvalues.merMod

Diagonal elements of the hat matrix

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Attempt to convert grouping variables to factors

Control of Mixed Model Fitting

Contagious bovine pleuropneumonia

Fit Linear Mixed-Effects Models

Predictions from a model at new data values

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

Wrappers for additional optimizers

Manipulate a Nonlinear Model Formula

Make Variance and Correlation Matrices from theta

Fitting Nonlinear Mixed-Effects Models

Refit a Model by Maximum Likelihood Criterion

profile-methods

Profile method for merMod objects

Class "merMod" of Fitted Mixed-Effect Models

Extended Convergence Checking

Omit terms separated by vertical bars in a formula

Extract Residual Standard Deviation 'Sigma'

Diagnostic Plots for 'merMod' Fits

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

Create an lmerResp, glmResp or nlsResp instance

residuals.merMod

residuals of merMod objects

Class "merPredD" - a Dense Predictor Reference Class

simulate.formula

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

Getting p-values for fitted models

Reaction times in a sleep deprivation study

simulate.merMod

Simulate Responses From '>merMod Object

Extract the modes of the random effects

Generator object for the '>merPredD class

Create a 'merMod' Object

Print and Summary Method Utilities for Mixed Effects

glmFamily-class

Class "glmFamily" - a reference class for family

Refit a (merMod) Model with a Different Response

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

Convert between representations of (co-)variance structures

Generator object for the '>glmFamily class

influence.merMod

Influence Diagnostics for Mixed-Effects Models

Fit List of lm or glm Objects with a Common Model

Is f1 nested within f2?

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

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

Modular Functions for Mixed Model Fits

PCA of random-effects covariance matrix

"Sub[stitute] Bars"

troubleshooting

Troubleshooting

Class "rePos"

University Lecture/Instructor Evaluations by Students at ETH

Variation in penicillin testing

Extract Variance and Correlation Components

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

Paste strength by batch and cask

Arabidopsis clipping/fertilization data

Yield of dyestuff by batch

Univariate Gauss-Hermite quadrature rule

Sparse Gaussian / Gauss-Hermite Quadrature grid