The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 3.3-1 |
| Depends: | lme4 (≥ 1.1-9), Matrix (≥ 1.6-2), R (≥ 3.5.0) |
| Imports: | lattice, nlme, methods, robustbase (≥ 0.93), xtable, Rcpp (≥ 0.12.2), fastGHQuad, parallel, rlang, utils |
| LinkingTo: | Rcpp, robustbase, Matrix |
| Suggests: | ggplot2, reshape2, microbenchmark, emmeans (≥ 1.4), estimability, lqmm, rlme, MASS, lemon, RColorBrewer, skewt, fs, dplyr, ggh4x, testthat, robustvarComp |
| Published: | 2023-12-14 |
| Author: | Manuel Koller |
| Maintainer: | Manuel Koller <kollerma at proton.me> |
| License: | GPL-2 |
| URL: | https://github.com/kollerma/robustlmm |
| NeedsCompilation: | yes |
| Citation: | robustlmm citation info |
| Materials: | README |
| In views: | MixedModels, Robust |
| CRAN checks: | robustlmm results |
| Reference manual: | robustlmm.pdf |
| Vignettes: |
robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models Replication Code For Simulation Studies |
| Package source: | robustlmm_3.3-1.tar.gz |
| Windows binaries: | r-devel: robustlmm_3.3-1.zip, r-release: robustlmm_3.3-1.zip, r-oldrel: robustlmm_3.3-1.zip |
| macOS binaries: | r-release (arm64): robustlmm_3.3-1.tgz, r-oldrel (arm64): robustlmm_3.3-1.tgz, r-release (x86_64): robustlmm_3.3-1.tgz, r-oldrel (x86_64): robustlmm_3.3-1.tgz |
| Old sources: | robustlmm archive |
| Reverse suggests: | confintROB, effects, insight, marginaleffects |
Please use the canonical form https://CRAN.R-project.org/package=robustlmm to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.