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: | 2.2-1 |
| Depends: | R (≥ 3.0.2), 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 |
| Published: | 2018-04-29 |
| Author: | Manuel Koller |
| Maintainer: | Manuel Koller <koller.manuel at gmail.com> |
| License: | GPL-2 |
| URL: | https://github.com/kollerma/robustlmm |
| 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_2.2-1.tar.gz |
| Windows binaries: | r-devel: robustlmm_2.2-1.zip, r-release: robustlmm_2.2-1.zip, r-oldrel: robustlmm_2.2-1.zip |
| OS X binaries: | r-release: robustlmm_2.2-1.tgz, r-oldrel: robustlmm_2.2-1.tgz |
| Old sources: | robustlmm archive |
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