`install.packages('lme4')`

424,716

1.1-35.1

GPL (>= 2)

November 5th, 2023

bootMer

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

confint.merMod

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

checkConv

Extended Convergence Checking

convergence

Assessing Convergence for Fitted Models

devcomp

Extract the deviance component list

cake

Breakage Angle of Chocolate Cakes

cbpp

Contagious bovine pleuropneumonia

VerbAgg

Verbal Aggression item responses

allFit

Refit a fitted model with all available optimizers

devfun2

Deviance Function in Terms of Standard Deviations/Correlations

glmFamily-class

fortify

add information to data based on a fitted model

glmFamily

Generator object for the

`glmFamily`

classexpandDoubleVerts

Expand terms with

`'||'`

notation into separate `'|'`

termsgetME

Extract or Get Generalized Components from a Fitted Mixed Effects Model

isREML

Check characteristics of models

isNested

Is f1 nested within f2?

isSingular

Test Fitted Model for (Near) Singularity

glmerLaplaceHandle

Handle for

`glmerLaplace`

influence.merMod

Influence Diagnostics for Mixed-Effects Models

fixef

Extract fixed-effects estimates

findbars

Determine random-effects expressions from a formula

dummy

Dummy variables (experimental)

hatvalues.merMod

Diagonal elements of the hat matrix

factorize

Attempt to convert grouping variables to factors

golden-class

Class

`"golden"`

and Generator for Golden Search Optimizer Classgrouseticks

Data on red grouse ticks from Elston et al. 2001

drop1.merMod

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

glmer

Fitting Generalized Linear Mixed-Effects Models

glmer.nb

Fitting Negative Binomial GLMMs

lme4-package

Linear, generalized linear, and nonlinear mixed models

lme4_testlevel

Detect testing level for lme4 examples and tests

lmList

Fit List of lm or glm Objects with a Common Model

lmerControl

Control of Mixed Model Fitting

lmer

Fit Linear Mixed-Effects Models

lmResp-class

Reference Classes for Response Modules,

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

merPredD-class

Class

`"merPredD"`

- a Dense Predictor Reference ClasslmResp

Generator objects for the response classes

merMod-class

Class "merMod" of Fitted Mixed-Effect Models

lmList4-class

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

ngrps

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

nlformula

Manipulate a Nonlinear Model Formula

namedList

Self-naming list function

merPredD

Generator object for the

`merPredD`

classmodular

Modular Functions for Mixed Model Fits

mkSimulateTemplate

Make templates suitable for guiding mixed model simulations

mkVarCorr

Make Variance and Correlation Matrices from

`theta`

mkReTrms

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

mkMerMod

Create a 'merMod' Object

mkRespMod

Create an lmerResp, glmResp or nlsResp instance

plots.thpr

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

plot.merMod

Diagnostic Plots for 'merMod' Fits

ranef

Extract the modes of the random effects

pvalues

Getting p-values for fitted models

rePCA

PCA of random-effects covariance matrix

nloptwrap

Wrappers for additional optimizers

nlmer

Fitting Nonlinear Mixed-Effects Models

profile-methods

Profile method for merMod objects

predict.merMod

Predictions from a model at new data values

nobars

Omit terms separated by vertical bars in a formula

simulate.merMod

Simulate Responses From

`merMod`

ObjectrePos-class

Class

`"rePos"`

simulate.formula

A

`simulate`

Method for `formula`

objects that dispatches based on the Left-Hand Siderefit

Refit a (merMod) Model with a Different Response

refitML

Refit a Model by Maximum Likelihood Criterion

residuals.merMod

residuals of merMod objects

sleepstudy

Reaction times in a sleep deprivation study

rePos

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

sigma

Extract Residual Standard Deviation 'Sigma'

subbars

"Sub[stitute] Bars"

vcconv

Convert between representations of (co-)variance structures

prt-utilities

Print and Summary Method Utilities for Mixed Effects

troubleshooting

Troubleshooting

GHrule

Univariate Gauss-Hermite quadrature rule

InstEval

University Lecture/Instructor Evaluations by Students at ETH

GQdk

Sparse Gaussian / Gauss-Hermite Quadrature grid

Arabidopsis

Arabidopsis clipping/fertilization data

NelderMead-class

Class

`"NelderMead"`

of Nelder-Mead optimizers and its GeneratorPastes

Paste strength by batch and cask

Penicillin

Variation in penicillin testing

VarCorr

Extract Variance and Correlation Components

NelderMead

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

Dyestuff

Yield of dyestuff by batch