robustlmm: Robust Linear Mixed Effects Models

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: 3.3-1
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
LinkingTo: Rcpp, robustbase, Matrix
Suggests: ggplot2, reshape2, microbenchmark, emmeans (≥ 1.4), estimability, lqmm, rlme, MASS, lemon, RColorBrewer, skewt, fs, dplyr, ggh4x, testthat, robustvarComp
Published: 2023-12-14
DOI: 10.32614/CRAN.package.robustlmm
Author: Manuel Koller
Maintainer: Manuel Koller <kollerma at>
License: GPL-2
NeedsCompilation: yes
Citation: robustlmm citation info
Materials: README
In views: MixedModels, Robust
CRAN checks: robustlmm results


Reference manual: robustlmm.pdf
Vignettes: robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models
Replication Code For Simulation Studies


Package source: robustlmm_3.3-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): robustlmm_3.3-1.tgz, r-oldrel (arm64): robustlmm_3.3-1.tgz, r-release (x86_64): robustlmm_3.3-1.tgz, r-oldrel (x86_64): robustlmm_3.3-1.tgz
Old sources: robustlmm archive

Reverse dependencies:

Reverse suggests: confintROB, effects, insight, marginaleffects


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