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lme4 (version 1.1-10)

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.packages('lme4')

Monthly Downloads

389,866

Version

1.1-10

License

GPL (>= 2)

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Maintainer

Ben Bolker

Last Published

October 6th, 2015

Functions in lme4 (1.1-10)

getME

Extract or Get Generalized Components from a Fitted Mixed Effects Model
VerbAgg

Verbal Aggression item responses
findbars

Determine random-effects expressions from a formula
GQdk

Sparse Gaussian / Gauss-Hermite Quadrature grid
GHrule

Univariate Gauss-Hermite quadrature rule
cbpp

Contagious bovine pleuropneumonia
Pastes

Paste strength by batch and cask
convergence

Assessing Convergence for Fitted Models
glmFamily

Generator object for the glmFamily class
glmFamily-class

cake

Breakage Angle of Chocolate Cakes
rePos-class

Class "rePos"
confint.merMod

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

Extract Variance and Correlation Components
mkdevfun

Create Deviance Evaluation Function from Predictor and Response Module
fixef

Extract fixed-effects estimates
mkReTrms

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

Class "NelderMead" of Nelder-Mead optimizers and its Generator
residuals.merMod

residuals of merMod objects
fortify

add information to data based on a fitted model
InstEval

University Lecture/Instructor Evaluations by Students at ETH
nlformula

Manipulate a Nonlinear Model Formula
lmList

Fit List of lm Objects with a Common Model
factorize

Attempt to convert grouping variables to factors
drop1.merMod

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

Fitting GLMM's for Negative Binomial
glmer

Fitting Generalized Linear Mixed-Effects Models
sigma

Extract Residual Standard Deviation 'Sigma'
dummy

Dummy variables (experimental)
nobars

Omit terms separated by vertical bars in a formula
modular

Modular Functions for Mixed Model Fits
predict.merMod

Predictions from a model at new data values
golden-class

Class "golden" and Generator for Golden Search Optimizer Class
grouseticks

Data on red grouse ticks from Elston et al. 2001
simulate.merMod

Simulate Responses From merMod Object
expandDoubleVerts

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

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

Variation in penicillin testing
pvalues

Getting p-values for fitted models
profile-methods

Profile method for merMod objects
subbars

"Sub[stitute] Bars"
isREML

Check characteristics of models
lme4-package

Linear, generalized linear, and nonlinear mixed models
lmer

Fit Linear Mixed-Effects Models
lmResp-class

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

Create an lmerResp, glmResp or nlsResp instance
plots.thpr

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

Transform Profile to the variance scale
mkVarCorr

Make Variance and Correlation Matrices from theta
Dyestuff

Yield of dyestuff by batch
lmerControl

Control of Mixed Model Fitting
merPredD

Generator object for the merPredD class
devcomp

Extract the deviance component list
hatvalues.merMod

Diagonal elements of the hat matrix
ranef

Extract the modes of the random effects
vcconv

Convert between representations of (co-)variance structures
sleepstudy

Reaction times in a sleep deprivation study
mkMerMod

Create a 'merMod' Object
rePos

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

Is f1 nested within f2?
glmerLaplaceHandle

Handle for glmerLaplace
troubleshooting

Troubleshooting
mkSimulateTemplate

Make templates suitable for guiding mixed model simulations
ngrps

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

Wrappers for additional optimizers
plot.merMod

diagnostic plots for merMod fits
nlmer

Fitting Nonlinear Mixed-Effects Models
prt-utilities

Print and Summary Method Utilities for Mixed Effects
lmList4-class

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

Refit a Model by Maximum Likelihood Criterion
refit

Refit a (merMod) Model with a Different Response
bootMer

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

Class "merMod" of Fitted Mixed-Effect Models
merPredD-class

Class "merPredD" - a Dense Predictor Reference Class
Arabidopsis

Arabidopsis clipping/fertilization data
lmResp

Generator objects for the response classes
plot.lmList4

plots for lmList4 objects