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lme4 (version 1.1-27.1)

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

1.1-27.1

License

GPL (>= 2)

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Repository

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

Maintainer

Last Published

June 22nd, 2021

Functions in lme4 (1.1-27.1)

Yield of dyestuff by batch

Sparse Gaussian / Gauss-Hermite Quadrature grid

Univariate Gauss-Hermite quadrature rule

Extract Variance and Correlation Components

University Lecture/Instructor Evaluations by Students at ETH

Arabidopsis clipping/fertilization data

Paste strength by batch and cask

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

Variation in penicillin testing

NelderMead-class

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

Deviance Function in Terms of Standard Deviations/Correlations

Extended Convergence Checking

Extract the deviance component list

Verbal Aggression item responses

Contagious bovine pleuropneumonia

Assessing Convergence for Fitted Models

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

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

Refit a fitted model with all available optimizers

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

Dummy variables (experimental)

Is f1 nested within f2?

add information to data based on a fitted model

glmFamily-class

Class "glmFamily" - a reference class for family

Generator object for the '>glmFamily class

influence.merMod

Influence Diagnostics for Mixed-Effects Models

hatvalues.merMod

Diagonal elements of the hat matrix

Breakage Angle of Chocolate Cakes

Data on red grouse ticks from Elston et al. 2001

Determine random-effects expressions from a formula

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Test Fitted Model for (Near) Singularity

Check characteristics of models

Linear, generalized linear, and nonlinear mixed models

Attempt to convert grouping variables to factors

expandDoubleVerts

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

Detect testing level for lme4 examples and tests

Fitting Generalized Linear Mixed-Effects Models

Extract fixed-effects estimates

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

Fit List of lm or glm Objects with a Common Model

glmerLaplaceHandle

Handle for glmerLaplace

Create an lmerResp, glmResp or nlsResp instance

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

troubleshooting

Troubleshooting

Generator object for the '>merPredD class

"Sub[stitute] Bars"

Getting p-values for fitted models

Class "golden" and Generator for Golden Search Optimizer Class

Create a 'merMod' Object

Extract Residual Standard Deviation 'Sigma'

Fitting Negative Binomial GLMMs

Extract the modes of the random effects

Convert between representations of (co-)variance structures

Manipulate a Nonlinear Model Formula

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

simulate.formula

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

Print and Summary Method Utilities for Mixed Effects

Fitting Nonlinear Mixed-Effects Models

Class "merMod" of Fitted Mixed-Effect Models

PCA of random-effects covariance matrix

Class "rePos"

residuals.merMod

residuals of merMod objects

Refit a Model by Maximum Likelihood Criterion

Generator objects for the response classes

Class "merPredD" - a Dense Predictor Reference Class

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Make Variance and Correlation Matrices from theta

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

Diagnostic Plots for 'merMod' Fits

simulate.merMod

Simulate Responses From '>merMod Object

Reaction times in a sleep deprivation study

Fit Linear Mixed-Effects Models

Control of Mixed Model Fitting

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

Wrappers for additional optimizers

Modular Functions for Mixed Model Fits

Predictions from a model at new data values

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

profile-methods

Profile method for merMod objects

Refit a (merMod) Model with a Different Response

Omit terms separated by vertical bars in a formula