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lme4 (version 1.1-35.5)

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.packages('lme4')

Monthly Downloads

500,586

Version

1.1-35.5

License

GPL (>= 2)

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Repository

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

Maintainer

Last Published

July 3rd, 2024

Functions in lme4 (1.1-35.5)

Breakage Angle of Chocolate Cakes

Extended Convergence Checking

Extract the deviance component list

Deviance Function in Terms of Standard Deviations/Correlations

Verbal Aggression item responses

Contagious bovine pleuropneumonia

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

Assessing Convergence for Fitted Models

Dummy variables (experimental)

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

glmFamily-class

Class "glmFamily" - a reference class for family

Refit a fitted model with all available optimizers

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

add information to data based on a fitted model

Attempt to convert grouping variables to factors

Determine random-effects expressions from a formula

expandDoubleVerts

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

Generator object for the glmFamily class

Extract fixed-effects estimates

Extract or Get Generalized Components from a Fitted Mixed Effects Model

hatvalues.merMod

Diagonal elements of the hat matrix

Check characteristics of models

Data on red grouse ticks from Elston et al. 2001

influence.merMod

Influence Diagnostics for Mixed-Effects Models

glmerLaplaceHandle

Handle for glmerLaplace

Test Fitted Model for (Near) Singularity

Fitting Generalized Linear Mixed-Effects Models

Class "golden" and Generator for Golden Search Optimizer Class

Is f1 nested within f2?

Fitting Negative Binomial GLMMs

Linear, generalized linear, and nonlinear mixed models

Fit Linear Mixed-Effects Models

Detect testing level for lme4 examples and tests

Class "merPredD" - a Dense Predictor Reference Class

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

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

Class "merMod" of Fitted Mixed-Effect Models

Fit List of lm or glm Objects with a Common Model

Generator objects for the response classes

Control of Mixed Model Fitting

Create a 'merMod' Object

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

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

Self-naming list function

Create an lmerResp, glmResp or nlsResp instance

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Manipulate a Nonlinear Model Formula

Generator object for the merPredD class

Modular Functions for Mixed Model Fits

Make Variance and Correlation Matrices from theta

Getting p-values for fitted models

Fitting Nonlinear Mixed-Effects Models

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

Diagnostic Plots for 'merMod' Fits

profile-methods

Profile method for merMod objects

Wrappers for additional optimizers

Omit terms separated by vertical bars in a formula

simulate.formula

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

Predictions from a model at new data values

"Sub[stitute] Bars"

PCA of random-effects covariance matrix

Reaction times in a sleep deprivation study

Refit a Model by Maximum Likelihood Criterion

Refit a (merMod) Model with a Different Response

Extract the modes of the random effects

simulate.merMod

Simulate Responses From merMod Object

troubleshooting

Troubleshooting

Print and Summary Method Utilities for Mixed Effects

residuals.merMod

residuals of merMod objects

Extract Residual Standard Deviation 'Sigma'

Class "rePos"

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

Convert between representations of (co-)variance structures

Yield of dyestuff by batch

Sparse Gaussian / Gauss-Hermite Quadrature grid

Univariate Gauss-Hermite quadrature rule

Paste strength by batch and cask

Arabidopsis clipping/fertilization data

Extract Variance and Correlation Components

Variation in penicillin testing

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

NelderMead-class

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

University Lecture/Instructor Evaluations by Students at ETH