TestREnlme
Nonparametric Tests for Random Effects in Linear and Nonlinear Mixed-Effects Models
Description
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>.
CRAN Check Status
Show all 7 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-fedora-clang | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jul 4, 2026
Code
Structure
Lines of code
4,030
Files
39
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
13
Internal functions
20
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.06
testthat edition
3
CI present
No
CI type
[]
PR gated
No
Docs
Return-value doc rate
100%
\dontrun example ratio
14.3%
Roxygen coverage
100%
Has pkgdown
No
NEWS present
No
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
9
Dep constraint coverage
75%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.1.0
System requirements
–
C++ standard
–
License
GPL (>= 3)
License flags
SPDX valid, OSI approved
History
Versions
1
First release
2026-07-03
Latest release
2026-07-03
Avg cadence
–
Cold removal rate
–
Dep drift
0
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/cran-code-metrics.