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lme4 (version 1.1-13)

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

1.1-13

License

GPL (>= 2)

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Repository

https://github.com/lme4/lme4/ http://lme4.r-forge.r-project.org/

Maintainer

Last Published

April 19th, 2017

Functions in lme4 (1.1-13)

Assessing Convergence for Fitted Models

Extract the deviance component list

Univariate Gauss-Hermite quadrature rule

Sparse Gaussian / Gauss-Hermite Quadrature grid

Breakage Angle of Chocolate Cakes

expandDoubleVerts

Expand terms with

Attempt to convert grouping variables to factors

Is f1 nested within f2?

Variation in penicillin testing

Extract Variance and Correlation Components

Verbal Aggression item responses

Contagious bovine pleuropneumonia

add information to data based on a fitted model

Extract or Get Generalized Components from a Fitted Mixed Effects Model

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

glmFamily-class

Generator object for the

Linear, generalized linear, and nonlinear mixed models

Fit Linear Mixed-Effects Models

Extract the modes of the random effects

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

Paste strength by batch and cask

Yield of dyestuff by batch

Determine random-effects expressions from a formula

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

Fitting Negative Binomial GLMMs

Check characteristics of models

Create a 'merMod' Object

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

troubleshooting

Troubleshooting

Print and Summary Method Utilities for Mixed Effects

Fitting Generalized Linear Mixed-Effects Models

Manipulate a Nonlinear Model Formula

Fitting Nonlinear Mixed-Effects Models

profile-methods

Profile method for merMod objects

Getting p-values for fitted models

Reaction times in a sleep deprivation study

"Sub[stitute] Bars"

Extract fixed-effects estimates

Fit List of lm Objects with a Common Model

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

Generator object for the

hatvalues.merMod

Diagonal elements of the hat matrix

Control of Mixed Model Fitting

Class "merMod" of Fitted Mixed-Effect Models

Modular Functions for Mixed Model Fits

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

Extract Residual Standard Deviation 'Sigma'

simulate.merMod

Simulate Responses From

glmerLaplaceHandle

Create an lmerResp, glmResp or nlsResp instance

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Wrappers for additional optimizers

Omit terms separated by vertical bars in a formula

Refit a Model by Maximum Likelihood Criterion

residuals.merMod

residuals of merMod objects

University Lecture/Instructor Evaluations by Students at ETH

Make Variance and Correlation Matrices from

Create Deviance Evaluation Function from Predictor and Response Module

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

Predictions from a model at new data values

Convert between representations of (co-)variance structures

NelderMead-class

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

Dummy variables (experimental)

Reference Classes for Response Modules,

Generator objects for the response classes

plots for lmList4 objects

Diagnostic Plots for 'merMod' Fits

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

Refit a (merMod) Model with a Different Response