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lme4 (version 1.1-25)

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

513,067

Version

1.1-25

License

GPL (>= 2)

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Repository

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

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Last Published

October 23rd, 2020

Functions in lme4 (1.1-25)

Verbal Aggression item responses

Dummy variables (experimental)

Fitting Negative Binomial GLMMs

Fitting Generalized Linear Mixed-Effects Models

Control of Mixed Model Fitting

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

Fit Linear Mixed-Effects Models

Modular Functions for Mixed Model Fits

simulate.formula

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

Extract Residual Standard Deviation 'Sigma'

Convert between representations of (co-)variance structures

Print and Summary Method Utilities for Mixed Effects

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

Contagious bovine pleuropneumonia

Paste strength by batch and cask

Sparse Gaussian / Gauss-Hermite Quadrature grid

Univariate Gauss-Hermite quadrature rule

Extract the deviance component list

Deviance Function in Terms of Standard Deviations/Correlations

Extended Convergence Checking

glmerLaplaceHandle

Handle for glmerLaplace

Extract fixed-effects estimates

Determine random-effects expressions from a formula

Class "golden" and Generator for Golden Search Optimizer Class

University Lecture/Instructor Evaluations by Students at ETH

NelderMead-class

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

Class "merMod" of Fitted Mixed-Effect Models

expandDoubleVerts

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

Attempt to convert grouping variables to factors

Check characteristics of models

Class "merPredD" - a Dense Predictor Reference Class

Test Fitted Model for (Near) Singularity

Detect testing level for lme4 examples and tests

Linear, generalized linear, and nonlinear mixed models

Make Variance and Correlation Matrices from theta

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Predictions from a model at new data values

troubleshooting

Troubleshooting

"Sub[stitute] Bars"

profile-methods

Profile method for merMod objects

Generator objects for the response classes

Generator object for the '>merPredD class

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

PCA of random-effects covariance matrix

Class "rePos"

Create a 'merMod' Object

simulate.merMod

Simulate Responses From '>merMod Object

Diagnostic Plots for 'merMod' Fits

Reaction times in a sleep deprivation study

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

Refit a Model by Maximum Likelihood Criterion

residuals.merMod

residuals of merMod objects

Arabidopsis clipping/fertilization data

Yield of dyestuff by batch

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

Assessing Convergence for Fitted Models

Generator object for the '>glmFamily class

hatvalues.merMod

Diagonal elements of the hat matrix

glmFamily-class

Class "glmFamily" - a reference class for family

Data on red grouse ticks from Elston et al. 2001

Fit List of lm or glm Objects with a Common Model

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

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

Create an lmerResp, glmResp or nlsResp instance

Getting p-values for fitted models

Extract the modes of the random effects

Variation in penicillin testing

Extract Variance and Correlation Components

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

Breakage Angle of Chocolate Cakes

add information to data based on a fitted model

Extract or Get Generalized Components from a Fitted Mixed Effects Model

influence.merMod

Influence Diagnostics for Mixed-Effects Models

Is f1 nested within f2?

Manipulate a Nonlinear Model Formula

Fitting Nonlinear Mixed-Effects Models

Wrappers for additional optimizers

Omit terms separated by vertical bars in a formula

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

Refit a (merMod) Model with a Different Response

Refit a fitted model with all available optimizers

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