rlme: Rank-Based Estimation and Prediction in Random Effects NestedModels
Estimates robust rank-based fixed effects and predicts robust random effects in two- and three- level random effects nested models. The methodology is described in Bilgic & Susmann (2013) <https://journal.r-project.org/archive/2013/RJ-2013-027/>.
| Version: | 0.5 |
| Imports: | MASS,quantreg,nlme,mgcv,stringr,magic,robustbase,Rcpp, stats, utils, graphics |
| LinkingTo: | Rcpp |
| Suggests: | testthat |
| Published: | 2018-01-09 |
| DOI: | 10.32614/CRAN.package.rlme |
| Author: | Yusuf Bilgic, Herb Susmann and Joseph McKean |
| Maintainer: | Yusuf Bilgic <bilgic at geneseo.edu> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| In views: | Robust |
| CRAN checks: | rlme results |
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