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 |
| Reference manual: | TestREnlme.html , TestREnlme.pdf |
| Vignettes: |
TestREnlme (source, R code) |
| Package source: | TestREnlme_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: TestREnlme_0.1.0.zip, r-oldrel: TestREnlme_0.1.0.zip |
| macOS binaries: | r-release (arm64): TestREnlme_0.1.0.tgz, r-oldrel (arm64): TestREnlme_0.1.0.tgz, r-release (x86_64): TestREnlme_0.1.0.tgz, r-oldrel (x86_64): TestREnlme_0.1.0.tgz |
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