Robust Linear Mixed Effects Models [R package robustlmm version 3.3-3]

Manuel Koller

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: 3.3-3

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年05月26日

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

Documentation:

Reference manual: robustlmm.html , robustlmm.pdf

Vignettes: robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models (source, R code)
Replication Code For Simulation Studies (source, R code)

Downloads:

Package source: robustlmm_3.3-3.tar.gz

Windows binaries: r-devel: robustlmm_3.3-3.zip, r-release: robustlmm_3.3-3.zip, r-oldrel: robustlmm_3.3-3.zip

macOS binaries: r-release (arm64): robustlmm_3.3-3.tgz, r-oldrel (arm64): robustlmm_3.3-3.tgz, r-release (x86_64): robustlmm_3.3-3.tgz, r-oldrel (x86_64): robustlmm_3.3-3.tgz

Old sources: robustlmm archive

Reverse dependencies:

Reverse suggests: confintROB, effects, insight, marginaleffects, misty

Linking:

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