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
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Authors: Adam Loy, Heike Hofmann
Title: HLMdiag: A Suite of Diagnostics for Hierarchical Linear Models in R
Abstract: Over the last twenty years there have been numerous developments in diagnostic pro- cedures for hierarchical linear models; however, these procedures are not widely imple- mented in statistical software packages, and those packages that do contain a complete framework for model assessment are not open source. The lack of availability of diagnostic procedures for hierarchical linear models has limited their adoption in statistical practice. The R package HLMdiag provides diagnostic tools targeting all aspects and levels of continuous response hierarchical linear models with strictly nested dependence structures fit using the lmer() function in the lme4 package. In this paper we discuss the tools implemented in HLMdiag for both residual and influence analysis.

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Paper: HLMdiag: A Suite of Diagnostics for Hierarchical Linear Models in R     Download PDF (Downloads: 9070)
HLMdiag_0.2.4.tar.gz: R source package Download (Downloads: 394; 151KB)
v56i05.R: R example code from the paper Download (Downloads: 560; 8KB)

DOI: 10.18637/jss.v056.i05

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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.