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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.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:

Please use the canonical form https://CRAN.R-project.org/package=rlme 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.
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