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lme4 (version 1.0-5)

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

install.packages('lme4')

Monthly Downloads

389,866

Version

1.0-5

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

October 25th, 2013

Functions in lme4 (1.0-5)

Verbal Aggression item responses

Extract Variance and Correlation Components

Breakage angle of chocolate cakes

Modular functions for mixed model fits

Is f1 nested within f2?

Generator object for the glmFamily class

Fit Linear Mixed-Effects Models

Manipulate a nonlinear model formula.

Control of Mixed Model Fitting

Create an lmerResp, glmResp or nlsResp instance

Getting p-values for fitted models

Class "rePos"

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

Create Z, Lambda, Lind, etc.

Class "merPredD" - a dense predictor reference class

Generator object for the merPredD class

Determine random-effects expressions from a formula

Classes "lmResp", "glmResp", "nlsResp" and "lmerResp"

Extract fixed-effects estimates

Create a merMod object

Create a deviance evaluation function from a predictor and a response module

glmer() for Negative Binomial

Class "merMod" of Fitted Mixed-Effect Models

Data on red grouse ticks from Elston et al. 2001

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

densityplot.thpr

densityplot from a mixed-effects profile

Generator object for the golden search optimizer class.

Linear, generalized linear, and nonlinear mixed models

Omit terms separated by vertical bars in a formula

Make Variance and Correlation Matrices from theta

Fit Generalized Linear Mixed-Effects Models

University Lecture/Instructor Evaluations by Students at ETH

List of lm Objects with a Common Model

Refit a model with a new response, by maximum likelihood criterion

glmFamily-class

Class "glmFamily" - a reference class for family

residuals.merMod

residuals of merMod objects

Sparse Gauss-Hermite quadrature grids

simulate.merMod

Simulate responses from a merMod object

Fit Nonlinear Mixed-Effects Models

diagnostic plots for merMod fits

"Sub[stitute] Bars"

Reaction times in a sleep deprivation study

Sparse Gaussian Quadrature grid

Class "golden"

Contagious bovine pleuropneumonia

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

Extract residual standard error

Generator object for the Nelder-Mead optimizer class.

Profile pairs plot

Variation in penicillin testing

Yield of dyestuff by batch

Extract the deviance component list

add information to data based on a fitted model

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Transform to the variance scale

Predictions from a model at new data values

Extract the modes of the random effects

Refit a model by maximum likelihood criterion

Paste strength by batch and cask

Univariate Gauss-Hermite quadrature rule

NelderMead-class

Class "NelderMead"

Compute confidence intervals on the parameters of an lme4 fit

Check characteristics of models

Generator objects for the response classes

profile-methods

Profile method for merMod objects