CLME: Constrained Inference for Linear Mixed Effects Models

Estimation and inference for linear models where some or all of the fixed-effects coefficients are subject to order restrictions. This package uses the robust residual bootstrap methodology for inference, and can handle some structure in the residual variance matrix.

Version: 2.0-6
Depends: R (≥ 3.0.2), shiny, lme4
Imports: MASS, nlme, methods, isotone, stringr, prettyR, stats, openxlsx, graphics
Published: 2016-11-08
Author: Casey M. Jelsema, Shyamal D. Peddada
Maintainer: Casey M. Jelsema <jelsema.casey at gmail.com>
BugReports: https://github.com/jelsema/CLME/issues
License: GPL-3
NeedsCompilation: no
Citation: CLME citation info
Materials: NEWS
CRAN checks: CLME results

Downloads:

Reference manual: CLME.pdf
Package source: CLME_2.0-6.tar.gz
Windows binaries: r-devel: CLME_2.0-6.zip, r-release: CLME_2.0-6.zip, r-oldrel: CLME_2.0-6.zip
OS X El Capitan binaries: r-release: CLME_2.0-6.tgz
OS X Mavericks binaries: r-oldrel: CLME_2.0-6.tgz
Old sources: CLME archive

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