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
CRAN checks: rlme results

Downloads:

Reference manual: rlme.pdf
Package source: rlme_0.5.tar.gz
Windows binaries: r-prerel: rlme_0.5.zip, r-release: rlme_0.5.zip, r-oldrel: rlme_0.5.zip
OS X binaries: r-prerel: rlme_0.5.tgz, r-release: rlme_0.5.tgz
Old sources: rlme archive

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