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lme4 (version 1.0-6)

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

376,257

Version

1.0-6

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

February 2nd, 2014

Functions in lme4 (1.0-6)

Compute confidence intervals on the parameters of an lme4 fit

Breakage angle of chocolate cakes

add information to data based on a fitted model

Manipulate a nonlinear model formula.

Is f1 nested within f2?

Refit a model by maximum likelihood criterion

Sparse Gaussian Quadrature grid

Extract the deviance component list

Extract residual standard error

Extract fixed-effects estimates

Profile pairs plot

Fit Linear Mixed-Effects Models

Determine random-effects expressions from a formula

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

diagnostic plots for merMod fits

List of lm Objects with a Common Model

Getting p-values for fitted models

Class "rePos"

Extract Variance and Correlation Components

Linear, generalized linear, and nonlinear mixed models

Data on red grouse ticks from Elston et al. 2001

Class "merMod" of Fitted Mixed-Effect Models

densityplot.thpr

densityplot from a mixed-effects profile

glmer() for Negative Binomial

Fit Nonlinear Mixed-Effects Models

Sparse Gauss-Hermite quadrature grids

Univariate Gauss-Hermite quadrature rule

simulate.merMod

Simulate responses from a merMod object

Fit Generalized Linear Mixed-Effects Models

glmFamily-class

Class "glmFamily" - a reference class for family

Make Variance and Correlation Matrices from theta

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

Yield of dyestuff by batch

Omit terms separated by vertical bars in a formula

Modular functions for mixed model fits

Create an lmerResp, glmResp or nlsResp instance

"Sub[stitute] Bars"

NelderMead-class

Class "NelderMead"

Paste strength by batch and cask

Create a merMod object

Generator object for the merPredD class

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

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

Generator object for the Nelder-Mead optimizer class.

University Lecture/Instructor Evaluations by Students at ETH

Reaction times in a sleep deprivation study

Check characteristics of models

residuals.merMod

residuals of merMod objects

Transform to the variance scale

Class "golden"

Predictions from a model at new data values

Generator object for the glmFamily class

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

Verbal Aggression item responses

Extract or Get Generalized Components from a Fitted Mixed Effects Model

profile-methods

Profile method for merMod objects

Contagious bovine pleuropneumonia

Generator object for the golden search optimizer class.

Variation in penicillin testing

Control of Mixed Model Fitting

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

Create Z, Lambda, Lind, etc.

Class "merPredD" - a dense predictor reference class

Extract the modes of the random effects

Generator objects for the response classes