lme41.1-35.5 package

Linear Mixed-Effects Models using 'Eigen' and S4

plots.thpr

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

rePos

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

confint.merMod

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

nloptwrap

Wrappers for additional optimizers

allFit

Refit a fitted model with all available optimizers

bootMer

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

checkConv

Extended Convergence Checking

convergence

Assessing Convergence for Fitted Models

devcomp

Extract the deviance component list

devfun2

Deviance Function in Terms of Standard Deviations/Correlations

drop1.merMod

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

dummy

Dummy variables (experimental)

expandDoubleVerts

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

factorize

Attempt to convert grouping variables to factors

findbars

Determine random-effects expressions from a formula

fixef

Extract fixed-effects estimates

fortify

add information to data based on a fitted model

getME

Extract or Get Generalized Components from a Fitted Mixed Effects Mode...

GHrule

Univariate Gauss-Hermite quadrature rule

glmer.nb

Fitting Negative Binomial GLMMs

glmer

Fitting Generalized Linear Mixed-Effects Models

glmerLaplaceHandle

Handle for glmerLaplace

glmFamily-class

Class "glmFamily" - a reference class for family

glmFamily

Generator object for the glmFamily class

golden-class

Class "golden" and Generator for Golden Search Optimizer Class

GQdk

Sparse Gaussian / Gauss-Hermite Quadrature grid

hatvalues.merMod

Diagonal elements of the hat matrix

influence.merMod

Influence Diagnostics for Mixed-Effects Models

isNested

Is f1 nested within f2?

isREML

Check characteristics of models

isSingular

Test Fitted Model for (Near) Singularity

lme4_testlevel

Detect testing level for lme4 examples and tests

lme4-package

Linear, generalized linear, and nonlinear mixed models

lmer

Fit Linear Mixed-Effects Models

lmerControl

Control of Mixed Model Fitting

lmList

Fit List of lm or glm Objects with a Common Model

lmList4-class

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

lmResp-class

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

lmResp

Generator objects for the response classes

merMod-class

Class "merMod" of Fitted Mixed-Effect Models

merPredD-class

Class "merPredD" - a Dense Predictor Reference Class

merPredD

Generator object for the merPredD class

mkMerMod

Create a 'merMod' Object

mkRespMod

Create an lmerResp, glmResp or nlsResp instance

mkReTrms

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

nobars

Omit terms separated by vertical bars in a formula

plot.merMod

Diagnostic Plots for 'merMod' Fits

mkSimulationTemplate

Make templates suitable for guiding mixed model simulations

mkVarCorr

Make Variance and Correlation Matrices from theta

modular

Modular Functions for Mixed Model Fits

namedList

Self-naming list function

Nelder_Mead

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

NelderMead-class

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

ngrps

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

nlformula

Manipulate a Nonlinear Model Formula

nlmer

Fitting Nonlinear Mixed-Effects Models

predict.merMod

Predictions from a model at new data values

profile-methods

Profile method for merMod objects

pvalues

Getting p-values for fitted models

ranef

Extract the modes of the random effects

refit

Refit a (merMod) Model with a Different Response

refitML

Refit a Model by Maximum Likelihood Criterion

rePCA

PCA of random-effects covariance matrix

rePos-class

Class "rePos"

residuals.merMod

residuals of merMod objects

sigma

Extract Residual Standard Deviation 'Sigma'

simulate.formula

A simulate Method for formula objects that dispatches based on the...

simulate.merMod

Simulate Responses From merMod Object

subbars

"Sub[stitute] Bars"

troubleshooting

Troubleshooting

utilities

Print and Summary Method Utilities for Mixed Effects

VarCorr

Extract Variance and Correlation Components

vcconv

Convert between representations of (co-)variance structures

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".

  • Maintainer: Ben Bolker
  • License: GPL (>= 2)
  • Last published: 2024-07-03