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: | 3.3-3 |
| Depends: | lme4 (≥ 1.1-9),Matrix (≥ 1.6-2), R (≥ 3.5.0) |
| Imports: | lattice,nlme, methods,robustbase (≥ 0.93),xtable,Rcpp (≥0.12.2),fastGHQuad, parallel,rlang, utils,reformulas |
| LinkingTo: | Rcpp,robustbase,Matrix |
| Suggests: | ggplot2,reshape2,microbenchmark,emmeans (≥ 1.4),estimability,lqmm,rlme,MASS,lemon,RColorBrewer,skewt,fs,dplyr,ggh4x,testthat,robustvarComp |
| Published: | 2025-05-26 |
| 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 |
| Citation: | robustlmm citation info |
| Materials: | README |
| In views: | MixedModels,Robust |
| CRAN checks: | robustlmm results |