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: |
2.5-1 |
| 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: |
2022-03-23 |
| 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 |