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lme4 (version 1.1-6)

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

389,866

Version

1.1-6

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

April 13th, 2014

Functions in lme4 (1.1-6)

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

Dummy variables (experimental)

Compute confidence intervals on the parameters of an lme4 fit

Sparse Gaussian Quadrature grid

Variation in penicillin testing

Extract the deviance component list

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Sparse Gauss-Hermite quadrature grids

Extract fixed-effects estimates

Breakage Angle of Chocolate Cakes

Determine random-effects expressions from a formula

Verbal Aggression item responses

University Lecture/Instructor Evaluations by Students at ETH

Control of Mixed Model Fitting

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

Extract the modes of the random effects

add information to data based on a fitted model

Paste strength by batch and cask

Getting p-values for fitted models

expandDoubleVerts

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

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

Generator object for the merPredD class

Generator object for the golden search optimizer class.

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

Create an lmerResp, glmResp or nlsResp instance

Transform to the variance scale

profile-methods

Profile method for merMod objects

Class "golden"

NelderMead-class

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

Make Variance and Correlation Matrices from theta

Yield of dyestuff by batch

simulate.merMod

Simulate responses from a merMod object

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

Modular functions for mixed model fits

Contagious bovine pleuropneumonia

Create a merMod object

Extract residual standard error

Manipulate a nonlinear model formula.

Data on red grouse ticks from Elston et al. 2001

Omit terms separated by vertical bars in a formula

Fit Generalized Linear Mixed-Effects Models

Generator objects for the response classes

Number of levels

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

Fit Nonlinear Mixed-Effects Models

residuals.merMod

residuals of merMod objects

"Sub[stitute] Bars"

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

Refit a model by maximum likelihood criterion

diagnostic plots for merMod fits

Class "merPredD" - a dense predictor reference class

glmFamily-class

Class "glmFamily" - a reference class for family

Linear, generalized linear, and nonlinear mixed models

Class "merMod" of Fitted Mixed-Effect Models

Is f1 nested within f2?

Reaction times in a sleep deprivation study

Create Z, Lambda, Lind, etc.

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

Check characteristics of models

Predictions from a model at new data values

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

Univariate Gauss-Hermite quadrature rule

Generator object for the glmFamily class

glmer() for Negative Binomial

Fit Linear Mixed-Effects Models

Class "rePos"

List of lm Objects with a Common Model

Extract Variance and Correlation Components