Package: TestREnlme 0.1.0

TestREnlme: Nonparametric Tests for Random Effects in Linear and Nonlinear Mixed-Effects Models

Provides nonparametric permutation tests for testing all or any subset of random effects in linear and nonlinear mixed-effects models, without requiring normality or other distributional assumptions on random effects or errors. Three distribution-free variance-component estimators are implemented: Variance Least Squares ('VLS'), Method of Moments ('MM'), and Method of Moments with First-Order Approximation ('MMF'). A permutation procedure is used to obtain finite-sample p-values. Plotting functions support data exploration, model evaluation, and communication of results. Methods are described in Uwimpuhwe, Drikvandi, and Blozis (2026) <doi:10.1002/sim.70605>.

Authors:Germaine Uwimpuhwe [aut, cre], Reza Drikvandi [aut], Shelley A. Blozis [aut]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
TestREnlme/json (API)

# Install 'TestREnlme' in R:
install.packages('TestREnlme', repos = c('https://germaine86.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/germaine86/testrenlme/issues

Datasets:

On CRAN:

Conda:

4.60 score 13 exports 40 dependencies

Last updated from:f977560272. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK202
source / vignettesOK254
linux-release-x86_64OK200
macos-release-arm64OK118
macos-oldrel-arm64OK101
windows-develOK105
windows-releaseOK114
windows-oldrelOK113
wasm-releaseOK160

Exports:Beta_hatbootstrap_seDhypothesis_testDmethodMM_baseplot_conditionplot_fittedplot_perm_histplot_profilesplot_residualsplot_varianceTstatZandYPred

Dependencies:clicpp11dplyrexpmfarvergenericsggplot2gluegtableisobandlabelinglatticelhslifecyclemagrittrMASSMatrixmatrixcalcmgsubminpack.lmnlmenls.multstartpillarpkgconfigpurrrR6RColorBrewerRcpprlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

TestREnlme: Testing Random Effects in Linear and Nonlinear Mixed-Effects Models
Introduction | Model Formulation | Theophylline Pharmacokinetic Data | Data and Model | Exploratory Plot | Testing All Random Effects | Step 1: Model preparation | Step 2: Variance components estimation | Step 3: Bootstrap standard errors. | Step 4: Permutation tests | Permutation histograms | Reduced Random Effect Strureture. | Diagnostic plots | Condition-number diagnostics | Step 4: Permutation | Skill Acquisition Data | Full Model (Three Random Effects) | Summary of Key Functions | References
Rendered fromTestREnlme.Rmdusingknitr::rmarkdown

Last update: 2026-06-27
Started: 2026-06-27

TestREnlme-intro
Rendered fromTestREnlme-intro.Rmdusingknitr::rmarkdown

Last update: 2026-06-19
Started: 2026-06-19