Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Casey M. Jelsema, Shyamal D. Peddada
Title: CLME: An R Package for Linear Mixed Effects Models under Inequality Constraints
Abstract: In many applications researchers are typically interested in testing for inequality constraints in the context of linear fixed effects and mixed effects models. Although there exists a large body of literature for performing statistical inference under inequality constraints, user friendly statistical software implementing such methods is lacking, especially in the context of linear fixed and mixed effects models. In this article we introduce CLME, a package in the R language that can be used for testing a broad collection of inequality constraints. It uses residual bootstrap based methodology which is reasonably robust to non-normality as well as heteroscedasticity. The package is illustrated using two data sets. The package also contains a graphical user interface built using the shiny package.

Page views:: 3450. Submitted: 2014-10-24. Published: 2016-11-19.
Paper: CLME: An R Package for Linear Mixed Effects Models under Inequality Constraints     Download PDF (Downloads: 2823)
CLME_2.0-6.tar.gz: R source package Download (Downloads: 186; 140KB)
v75i01.R: R replication code Download (Downloads: 194; 4KB)

DOI: 10.18637/jss.v075.i01

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.