robustlmm: Robust Linear Mixed Effects Models

A method to fit linear mixed effects models robustly. Robustness is achieved by modification of the scoring equations combined with the Design Adaptive Scale approach.

Version: 2.4-4
Depends: lme4 (≥ 1.1-9), Matrix (≥ 1.0-13), R (≥ 3.2.0)
Imports: ggplot2, lattice, nlme, methods, robustbase (≥ 0.93), xtable, Rcpp (≥ 0.12.2), fastGHQuad
LinkingTo: Rcpp, RcppEigen, robustbase, cubature (> 1.3-8)
Suggests: digest, reshape2, microbenchmark, emmeans (≥ 1.4), estimability
Published: 2021-05-24
Author: Manuel Koller
Maintainer: Manuel Koller <koller.manuel at>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: C++11
Citation: robustlmm citation info
Materials: README
In views: Robust
CRAN checks: robustlmm results


Reference manual: robustlmm.pdf
Vignettes: robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models
Package source: robustlmm_2.4-4.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): robustlmm_2.4-4.tgz, r-release (x86_64): robustlmm_2.4-4.tgz, r-oldrel: robustlmm_2.4-4.tgz
Old sources: robustlmm archive

Reverse dependencies:

Reverse suggests: effects, insight, qra


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