Implements the Robust Scoring Equations estimator to fit linear
mixed effects models robustly.
Robustness is achieved by modification of the scoring equations
combined with the Design Adaptive Scale approach.
| Version: |
3.5.1-1 |
| Depends: |
lme4 (≥ 2.0-1), Matrix (≥ 1.6-2), R (≥ 3.6.0) |
| Imports: |
lattice, nlme, methods, robustbase (≥ 0.93), xtable, Rcpp (≥
0.12.2), fastGHQuad, numDeriv, parallel, rlang, utils, reformulas |
| LinkingTo: |
Rcpp, robustbase, Matrix |
| Suggests: |
ggplot2, reshape2, microbenchmark, emmeans (≥ 1.4), estimability, lqmm, MASS, RColorBrewer, skewt, fs, dplyr, ggh4x, testthat, robustvarComp, confintROB, generics, tibble, R.rsp |
| Published: |
2026-10-25 |
| DOI: |
10.32614/CRAN.package.robustlmm |
| Author: |
Manuel Koller [aut, cre] |
| Maintainer: |
Manuel Koller <kollerma at proton.me> |
| License: |
GPL-2 |
| URL: |
https://github.com/kollerma/robustlmm |
| NeedsCompilation: |
yes |
| Language: |
en-US |
| Citation: |
robustlmm citation info |
| Materials: |
README, NEWS |
| In views: |
MixedModels, Robust |
| CRAN checks: |
robustlmm results |