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: 2.1
Depends: lme4 (≥ 1.1-9), Matrix (≥ 1.0-13)
Imports: ggplot2, lattice, nlme, methods, robustbase (≥ 0.9.5), xtable, Rcpp (≥ 0.12.2)
LinkingTo: Rcpp, RcppEigen
Suggests: digest, reshape2
Published: 2016-12-01
Author: Manuel Koller
Maintainer: Manuel Koller <koller.manuel at gmail.com>
License: GPL-2
URL: https://github.com/kollerma/robustlmm
NeedsCompilation: yes
Citation: robustlmm citation info
Materials: README
In views: Robust
CRAN checks: robustlmm results

Downloads:

Reference manual: robustlmm.pdf
Vignettes: robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models
Package source: robustlmm_2.1.tar.gz
Windows binaries: r-devel: robustlmm_2.1.zip, r-release: robustlmm_2.1.zip, r-oldrel: robustlmm_1.8.zip
OS X Mavericks binaries: r-release: robustlmm_1.8.tgz, r-oldrel: robustlmm_1.8.tgz
Old sources: robustlmm archive

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