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lme4 (version 1.1-23)

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

389,866

Version

1.1-23

License

GPL (>= 2)

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Repository

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

Maintainer

Ben Bolker

Last Published

April 7th, 2020

Functions in lme4 (1.1-23)

Yield of dyestuff by batch

Univariate Gauss-Hermite quadrature rule

Sparse Gaussian / Gauss-Hermite Quadrature grid

NelderMead-class

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

Extract Variance and Correlation Components

Variation in penicillin testing

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

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

Arabidopsis clipping/fertilization data

Paste strength by batch and cask

Extended Convergence Checking

Breakage Angle of Chocolate Cakes

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

Dummy variables (experimental)

University Lecture/Instructor Evaluations by Students at ETH

Is f1 nested within f2?

Contagious bovine pleuropneumonia

Check characteristics of models

Extract the deviance component list

Assessing Convergence for Fitted Models

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

Linear, generalized linear, and nonlinear mixed models

glmFamily-class

Class "glmFamily" - a reference class for family

Generator object for the '>merPredD class

Determine random-effects expressions from a formula

influence.merMod

Influence Diagnostics for Mixed-Effects Models

Attempt to convert grouping variables to factors

Class "merPredD" - a Dense Predictor Reference Class

Test Fitted Model for (Near) Singularity

expandDoubleVerts

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

hatvalues.merMod

Diagonal elements of the hat matrix

add information to data based on a fitted model

Verbal Aggression item responses

Deviance Function in Terms of Standard Deviations/Correlations

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

Generator object for the '>glmFamily class

Fitting Nonlinear Mixed-Effects Models

Data on red grouse ticks from Elston et al. 2001

Refit a fitted model with all available optimizers

Fit Linear Mixed-Effects Models

Manipulate a Nonlinear Model Formula

glmerLaplaceHandle

Handle for glmerLaplace

Create a 'merMod' Object

Wrappers for additional optimizers

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

Omit terms separated by vertical bars in a formula

Diagnostic Plots for 'merMod' Fits

Class "rePos"

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Make Variance and Correlation Matrices from theta

Class "golden" and Generator for Golden Search Optimizer Class

Fit List of lm or glm Objects with a Common Model

residuals.merMod

residuals of merMod objects

Extract Residual Standard Deviation 'Sigma'

Refit a (merMod) Model with a Different Response

Generator objects for the response classes

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

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

Predictions from a model at new data values

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

Getting p-values for fitted models

simulate.merMod

Simulate Responses From '>merMod Object

Extract fixed-effects estimates

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

Modular Functions for Mixed Model Fits

Control of Mixed Model Fitting

troubleshooting

Troubleshooting

Refit a Model by Maximum Likelihood Criterion

"Sub[stitute] Bars"

profile-methods

Profile method for merMod objects

Reaction times in a sleep deprivation study

Fitting Generalized Linear Mixed-Effects Models

Fitting Negative Binomial GLMMs

Class "merMod" of Fitted Mixed-Effect Models

Create an lmerResp, glmResp or nlsResp instance

Extract the modes of the random effects

PCA of random-effects covariance matrix

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Print and Summary Method Utilities for Mixed Effects

Convert between representations of (co-)variance structures