rlme: Rank-Based Estimation and Prediction in Random Effects Nested
Models
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 |
| 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 |
Documentation:
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