`install.packages('lme4')`

513,067

1.1-21

GPL (>= 2)

March 5th, 2019

glmFamily-class

glmer

Fitting Generalized Linear Mixed-Effects Models

Arabidopsis

Arabidopsis clipping/fertilization data

modular

Modular Functions for Mixed Model Fits

mkVarCorr

Make Variance and Correlation Matrices from

`theta`

glmer.nb

Fitting Negative Binomial GLMMs

merMod-class

Class "merMod" of Fitted Mixed-Effect Models

cbpp

Contagious bovine pleuropneumonia

checkConv

Extended Convergence Checking

fortify

add information to data based on a fitted model

getME

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Dyestuff

Yield of dyestuff by batch

glmerLaplaceHandle

Handle for

`glmerLaplace`

golden-class

Class

`"golden"`

and Generator for Golden Search Optimizer ClassbootMer

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

lmList

Fit List of lm or glm Objects with a Common Model

cake

Breakage Angle of Chocolate Cakes

lmList4-class

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

NelderMead

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

mkRespMod

Create an lmerResp, glmResp or nlsResp instance

Pastes

Paste strength by batch and cask

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

influence.merMod

Influence Diagnostics for Mixed-Effects Models

glmFamily

Generator object for the

`'>glmFamily`

classplots.thpr

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

isNested

Is f1 nested within f2?

predict.merMod

Predictions from a model at new data values

refit

Refit a (merMod) Model with a Different Response

merPredD-class

Class

`"merPredD"`

- a Dense Predictor Reference Classdrop1.merMod

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

InstEval

University Lecture/Instructor Evaluations by Students at ETH

merPredD

Generator object for the

`'>merPredD`

classnloptwrap

Wrappers for additional optimizers

nlmer

Fitting Nonlinear Mixed-Effects Models

subbars

"Sub[stitute] Bars"

refitML

Refit a Model by Maximum Likelihood Criterion

nobars

Omit terms separated by vertical bars in a formula

rePCA

PCA of random-effects covariance matrix

plot.merMod

Diagnostic Plots for 'merMod' Fits

Penicillin

Variation in penicillin testing

VarCorr

Extract Variance and Correlation Components

VerbAgg

Verbal Aggression item responses

GQdk

Sparse Gaussian / Gauss-Hermite Quadrature grid

convergence

Assessing Convergence for Fitted Models

lmerControl

Control of Mixed Model Fitting

residuals.merMod

residuals of merMod objects

fixef

Extract fixed-effects estimates

NelderMead-class

Class

`"NelderMead"`

of Nelder-Mead optimizers and its Generatordevcomp

Extract the deviance component list

allFit

Refit a fitted model with all available optimizers

expandDoubleVerts

Expand terms with

`'||'`

notation into separate `'|'`

termsdevfun2

Deviance function defined in terms of standard deviations/correlations

sigma

Extract Residual Standard Deviation 'Sigma'

isREML

Check characteristics of models

dummy

Dummy variables (experimental)

ranef

Extract the modes of the random effects

factorize

Attempt to convert grouping variables to factors

grouseticks

Data on red grouse ticks from Elston et al. 2001

hatvalues.merMod

Diagonal elements of the hat matrix

lmResp-class

Reference Classes for Response Modules,

`"(lm|glm|nls|lmer)Resp"`

lmResp

Generator objects for the response classes

ngrps

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

troubleshooting

Troubleshooting

nlformula

Manipulate a Nonlinear Model Formula

mkReTrms

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

GHrule

Univariate Gauss-Hermite quadrature rule

rePos-class

Class

`"rePos"`

rePos

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

sleepstudy

Reaction times in a sleep deprivation study

prt-utilities

Print and Summary Method Utilities for Mixed Effects

vcconv

Convert between representations of (co-)variance structures

isSingular

Test fitted model for (near) singularity

confint.merMod

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

lme4-package

Linear, generalized linear, and nonlinear mixed models

lmer

Fit Linear Mixed-Effects Models

mkMerMod

Create a 'merMod' Object

findbars

Determine random-effects expressions from a formula

profile-methods

Profile method for merMod objects

simulate.merMod

Simulate Responses From

`'>merMod`

Objectpvalues

Getting p-values for fitted models