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lme4 (version 1.1-7)

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

539,225

Version

1.1-7

License

GPL (>= 2)

Issues

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Repository

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

Maintainer

Ben Bolker

Last Published

July 19th, 2014

Functions in lme4 (1.1-7)

Paste strength by batch and cask

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

Extract the deviance component list

NelderMead-class

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

Determine random-effects expressions from a formula

Verbal Aggression item responses

expandDoubleVerts

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

Generator objects for the response classes

Fit Nonlinear Mixed-Effects Models

Univariate Gauss-Hermite quadrature rule

Transform Profile to the variance scale

Extract residual standard error

Extract or Get Generalized Components from a Fitted Mixed Effects Model

glmer() for Negative Binomial

List of lm Objects with a Common Model

Dummy variables (experimental)

Predictions from a model at new data values

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

simulate.merMod

Simulate responses from a merMod object

Extract Variance and Correlation Components

Is f1 nested within f2?

Sparse Gaussian Quadrature grid

diagnostic plots for merMod fits

Breakage Angle of Chocolate Cakes

Wrapper for nlOpt optimizers

"Sub[stitute] Bars"

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

Control of Mixed Model Fitting

Fit Linear Mixed-Effects Models

Extract the modes of the random effects

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

Variation in penicillin testing

Generator object for the glmFamily class

profile-methods

Profile method for merMod objects

Check characteristics of models

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

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

Create Z, Lambda, Lind, etc.

Generator object for the golden search optimizer class.

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

Reaction times in a sleep deprivation study

Yield of dyestuff by batch

add information to data based on a fitted model

Contagious bovine pleuropneumonia

Linear, generalized linear, and nonlinear mixed models

Data on red grouse ticks from Elston et al. 2001

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

Number of levels

Create an lmerResp, glmResp or nlsResp instance

Getting p-values for fitted models

University Lecture/Instructor Evaluations by Students at ETH

Class "golden"

Class "merPredD" - a dense predictor reference class

Generator object for the merPredD class

Make Variance and Correlation Matrices from theta

Manipulate a Nonlinear Model Formula

Class "merMod" of Fitted Mixed-Effect Models

Class "rePos"

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

glmFamily-class

Class "glmFamily" - a reference class for family

Fit Generalized Linear Mixed-Effects Models

Extract fixed-effects estimates

Sparse Gauss-Hermite quadrature grids

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

residuals.merMod

residuals of merMod objects

Modular functions for mixed model fits

Create a merMod object

Refit a model by maximum likelihood criterion

Omit terms separated by vertical bars in a formula