Implements the Robust Scoring Equations estimator to fit linear
mixed effects models robustly.
Robustness is achieved by modification of the scoring equations
combined with the Design Adaptive Scale approach.
Includes some references to the archived packages 'robustvarComp' and 'heavy'.
Both packages are only needed to reproduce a simulation
study and are not required for the running of the regular package
functions. You can install both packages by downloading the latest
version from the CRAN archive.
| Version: |
3.0-1 |
| Depends: |
lme4 (≥ 1.1-9), Matrix (≥ 1.0-13), R (≥ 3.5.0) |
| Imports: |
ggplot2, lattice, nlme, methods, robustbase (≥ 0.93), xtable, Rcpp (≥ 0.12.2), fastGHQuad, parallel, rlang, utils |
| LinkingTo: |
Rcpp, RcppEigen, robustbase, cubature (> 1.3-8) |
| Suggests: |
reshape2, microbenchmark, emmeans (≥ 1.4), estimability, MatrixModels, heavy, lqmm, rlme, robustvarComp, MASS, lemon, RColorBrewer, skewt, fs, dplyr, ggh4x |
| Published: |
2022-08-07 |
| Author: |
Manuel Koller |
| Maintainer: |
Manuel Koller <kollerma at proton.me> |
| 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 |