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lme4 (version 1.1-9)

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

1.1-9

License

GPL (>= 2)

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Repository

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

Maintainer

Ben Bolker

Last Published

August 20th, 2015

Functions in lme4 (1.1-9)

Dummy variables (experimental)

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

NelderMead-class

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

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

Data on red grouse ticks from Elston et al. 2001

glmerLaplaceHandle

Handle for glmerLaplace

Arabidopsis clipping/fertilization data

hatvalues.merMod

Diagonal elements of the hat matrix

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

Generator object for the glmFamily class

Determine random-effects expressions from a formula

Verbal Aggression item responses

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

Extract the deviance component list

Breakage Angle of Chocolate Cakes

Fitting GLMM's for Negative Binomial

Omit terms separated by vertical bars in a formula

expandDoubleVerts

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

Extract Variance and Correlation Components

Extract or Get Generalized Components from a Fitted Mixed Effects Model

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

Create Deviance Evaluation Function from Predictor and Response Module

Paste strength by batch and cask

Is f1 nested within f2?

Fit Linear Mixed-Effects Models

Check characteristics of models

Make Variance and Correlation Matrices from theta

Create a 'merMod' Object

Transform Profile to the variance scale

Modular Functions for Mixed Model Fits

Fitting Nonlinear Mixed-Effects Models

Wrappers for additional optimizers

Manipulate a Nonlinear Model Formula

plots for lmList4 objects

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

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

Extract the modes of the random effects

Extract fixed-effects estimates

glmFamily-class

Class "glmFamily" - a reference class for family

troubleshooting

Troubleshooting

Generator objects for the response classes

Class "merMod" of Fitted Mixed-Effect Models

Reaction times in a sleep deprivation study

Extract Residual Standard Deviation 'Sigma'

Variation in penicillin testing

Refit a Model by Maximum Likelihood Criterion

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

Class "rePos"

Fit List of lm Objects with a Common Model

Yield of dyestuff by batch

Class "golden"

Attempt to convert grouping variables to factors

diagnostic plots for merMod fits

profile-methods

Profile method for merMod objects

Class "merPredD" - a Dense Predictor Reference Class

Getting p-values for fitted models

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

Convert between representations of (co-)variance structures

Generator object for the merPredD class

Create an lmerResp, glmResp or nlsResp instance

add information to data based on a fitted model

Univariate Gauss-Hermite quadrature rule

Fitting Generalized Linear Mixed-Effects Models

"Sub[stitute] Bars"

simulate.merMod

Simulate Responses From merMod Object

Sparse Gaussian / Gauss-Hermite Quadrature grid

Refit a (merMod) Model with a Different Response

Linear, generalized linear, and nonlinear mixed models

Generator object for the golden search optimizer class.

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

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

Control of Mixed Model Fitting

residuals.merMod

residuals of merMod objects

University Lecture/Instructor Evaluations by Students at ETH

Assessing Convergence for Fitted Models

Predictions from a model at new data values

Contagious bovine pleuropneumonia