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: 2.0-12
Depends: R (≥ 4.0.0), shiny, lme4, MASS
Imports: nlme, methods, isotone, stringr, prettyR, stats, openxlsx, graphics
Suggests: testthat, nnet
Published: 2020-06-07
Author: Casey M. Jelsema [aut, cre], Shyamal D. Peddada [aut]
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

Documentation:

Reference manual: CLME.pdf

Downloads:

Package source: CLME_2.0-12.tar.gz
Windows binaries: r-devel: CLME_2.0-12.zip, r-release: CLME_2.0-12.zip, r-oldrel: CLME_2.0-12.zip
macOS binaries: r-release (arm64): CLME_2.0-12.tgz, r-release (x86_64): CLME_2.0-12.tgz, r-oldrel: CLME_2.0-12.tgz
Old sources: CLME archive

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