lme41.1-35.5 package

Linear Mixed-Effects Models using 'Eigen' and S4

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

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

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

Wrappers for additional optimizers

Refit a fitted model with all available optimizers

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

Extended Convergence Checking

Assessing Convergence for Fitted Models

Extract the deviance component list

Deviance Function in Terms of Standard Deviations/Correlations

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

Dummy variables (experimental)

Expand terms with `'||'`

notation into separate `'|'`

terms

Attempt to convert grouping variables to factors

Determine random-effects expressions from a formula

Extract fixed-effects estimates

add information to data based on a fitted model

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

Univariate Gauss-Hermite quadrature rule

Fitting Negative Binomial GLMMs

Fitting Generalized Linear Mixed-Effects Models

Handle for `glmerLaplace`

Class `"glmFamily"`

- a reference class for `family`

Generator object for the `glmFamily`

class

Class `"golden"`

and Generator for Golden Search Optimizer Class

Sparse Gaussian / Gauss-Hermite Quadrature grid

Diagonal elements of the hat matrix

Influence Diagnostics for Mixed-Effects Models

Is f1 nested within f2?

Check characteristics of models

Test Fitted Model for (Near) Singularity

Detect testing level for lme4 examples and tests

Linear, generalized linear, and nonlinear mixed models

Fit Linear Mixed-Effects Models

Control of Mixed Model Fitting

Fit List of lm or glm Objects with a Common Model

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

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

Generator objects for the response classes

Class "merMod" of Fitted Mixed-Effect Models

Class `"merPredD"`

- a Dense Predictor Reference Class

Generator object for the `merPredD`

class

Create a 'merMod' Object

Create an lmerResp, glmResp or nlsResp instance

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

Omit terms separated by vertical bars in a formula

Diagnostic Plots for 'merMod' Fits

Make templates suitable for guiding mixed model simulations

Make Variance and Correlation Matrices from `theta`

Modular Functions for Mixed Model Fits

Self-naming list function

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

Class `"NelderMead"`

of Nelder-Mead optimizers and its Generator

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

Manipulate a Nonlinear Model Formula

Fitting Nonlinear Mixed-Effects Models

Predictions from a model at new data values

Profile method for merMod objects

Getting p-values for fitted models

Extract the modes of the random effects

Refit a (merMod) Model with a Different Response

Refit a Model by Maximum Likelihood Criterion

PCA of random-effects covariance matrix

Class `"rePos"`

residuals of merMod objects

Extract Residual Standard Deviation 'Sigma'

A `simulate`

Method for `formula`

objects that dispatches based on the...

Simulate Responses From `merMod`

Object

"Sub[stitute] Bars"

Troubleshooting

Print and Summary Method Utilities for Mixed Effects

Extract Variance and Correlation Components

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