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
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

Documentation:

Reference manual:

rlme.html , rlme.pdf

Downloads:

Package source:	rlme_0.5.tar.gz
Windows binaries:	r-devel: rlme_0.5.zip, r-release: rlme_0.5.zip, r-oldrel: rlme_0.5.zip
macOS binaries:	r-release (arm64): rlme_0.5.tgz, r-oldrel (arm64): rlme_0.5.tgz, r-release (x86_64): rlme_0.5.tgz, r-oldrel (x86_64): rlme_0.5.tgz
Old sources:	rlme archive

Reverse dependencies:

Reverse suggests:

robustlmm

Linking:

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