robustlmm: Robust Linear Mixed Effects Models (original) (raw)
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:
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
License:
URL:
https://github.com/kollerma/robustlmm
NeedsCompilation:
yes
Citation:
Materials:
In views:
CRAN checks: