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: 1.7-6
Depends: lme4 (≥ 1.1-9), Matrix (≥ 1.0-13)
Imports: ggplot2, lattice, nlme, methods, robustbase (≥ 0.9.5), xtable
Suggests: digest, reshape2
Published: 2015-08-30
Author: Manuel Koller
Maintainer: Manuel Koller <koller.manuel at gmail.com>
License: GPL-2
URL: https://github.com/kollerma/robustlmm
NeedsCompilation: no
Materials: README
In views: Robust
CRAN checks: robustlmm results

Downloads:

Reference manual: robustlmm.pdf
Vignettes: Examples and some details on the method
Package source: robustlmm_1.7-6.tar.gz
Windows binaries: r-devel: robustlmm_1.7-6.zip, r-release: robustlmm_1.7-6.zip, r-oldrel: robustlmm_1.7-6.zip
OS X Snow Leopard binaries: r-release: robustlmm_1.7-6.tgz, r-oldrel: robustlmm_1.6.tgz
OS X Mavericks binaries: r-release: robustlmm_1.7-6.tgz
Old sources: robustlmm archive