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>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
nlme (≥ 3.1-150), Matrix (≥ 1.3-0), MASS (≥ 7.3-54), mgsub (≥ 1.7.3), matrixcalc (≥ 1.0-5), nls.multstart (≥ 2.0.0), ggplot2 (≥ 3.3.5), expm (≥ 0.999-6), withr (≥ 3.0.2), stats, utils, rlang |
| Suggests: |
knitr, rmarkdown, ggpubr (≥ 0.4.0), testthat (≥ 3.0.0), reshape2 (≥ 1.4.4) |
| Published: |
2026-07-03 |
| DOI: |
10.32614/CRAN.package.TestREnlme (may not be active yet) |
| Author: |
Germaine Uwimpuhwe [aut, cre],
Reza Drikvandi [aut],
Shelley A. Blozis [aut] |
| Maintainer: |
Germaine Uwimpuhwe <germaine.uwimpuhwe at durham.ac.uk> |
| BugReports: |
https://github.com/germaine86/TestREnlme/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/germaine86/TestREnlme |
| NeedsCompilation: |
no |
| CRAN checks: |
TestREnlme results |
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