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lme4 (version 1.1-21)

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

1.1-21

License

GPL (>= 2)

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Repository

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

Maintainer

Ben Bolker

Last Published

March 5th, 2019

Functions in lme4 (1.1-21)

glmFamily-class

Class "glmFamily" - a reference class for family

Fitting Generalized Linear Mixed-Effects Models

Arabidopsis clipping/fertilization data

Modular Functions for Mixed Model Fits

Make Variance and Correlation Matrices from theta

Fitting Negative Binomial GLMMs

Class "merMod" of Fitted Mixed-Effect Models

Contagious bovine pleuropneumonia

Extended Convergence Checking

add information to data based on a fitted model

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Yield of dyestuff by batch

glmerLaplaceHandle

Handle for glmerLaplace

Class "golden" and Generator for Golden Search Optimizer Class

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

Fit List of lm or glm Objects with a Common Model

Breakage Angle of Chocolate Cakes

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

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

Create an lmerResp, glmResp or nlsResp instance

Paste strength by batch and cask

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

influence.merMod

Influence Diagnostics for Mixed-Effects Models

Generator object for the '>glmFamily class

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

Is f1 nested within f2?

Predictions from a model at new data values

Refit a (merMod) Model with a Different Response

Class "merPredD" - a Dense Predictor Reference Class

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

University Lecture/Instructor Evaluations by Students at ETH

Generator object for the '>merPredD class

Wrappers for additional optimizers

Fitting Nonlinear Mixed-Effects Models

"Sub[stitute] Bars"

Refit a Model by Maximum Likelihood Criterion

Omit terms separated by vertical bars in a formula

PCA of random-effects covariance matrix

Diagnostic Plots for 'merMod' Fits

Variation in penicillin testing

Extract Variance and Correlation Components

Verbal Aggression item responses

Sparse Gaussian / Gauss-Hermite Quadrature grid

Assessing Convergence for Fitted Models

Control of Mixed Model Fitting

residuals.merMod

residuals of merMod objects

Extract fixed-effects estimates

NelderMead-class

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

Extract the deviance component list

Refit a fitted model with all available optimizers

expandDoubleVerts

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

Deviance function defined in terms of standard deviations/correlations

Extract Residual Standard Deviation 'Sigma'

Check characteristics of models

Dummy variables (experimental)

Extract the modes of the random effects

Attempt to convert grouping variables to factors

Data on red grouse ticks from Elston et al. 2001

hatvalues.merMod

Diagonal elements of the hat matrix

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

Generator objects for the response classes

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

troubleshooting

Troubleshooting

Manipulate a Nonlinear Model Formula

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

Univariate Gauss-Hermite quadrature rule

Class "rePos"

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

Reaction times in a sleep deprivation study

Print and Summary Method Utilities for Mixed Effects

Convert between representations of (co-)variance structures

Test fitted model for (near) singularity

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

Linear, generalized linear, and nonlinear mixed models

Fit Linear Mixed-Effects Models

Create a 'merMod' Object

Determine random-effects expressions from a formula

profile-methods

Profile method for merMod objects

simulate.merMod

Simulate Responses From '>merMod Object

Getting p-values for fitted models