Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models

Johnson, P. C.D. (2014) Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models. Methods in Ecology and Evolution, 5(9), pp. 944-946. (doi:10.1111/2041-210X.12225) (PMID:25810896) (PMCID:PMC4368045)

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Abstract

1.Nakagawa & Schielzeth extended the widely used goodness-of-fit statistic R2 to apply to generalized linear mixed models (GLMMs). However, their R2GLMM method is restricted to models with the simplest random effects structure, known as random intercepts models. It is not applicable to another common random effects structure, random slopes models.

2.I show that R2GLMM can be extended to random slopes models using a simple formula that is straightforward to implement in statistical software. This extension substantially widens the potential application of R2GLMM.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Johnson, Dr Paul
Authors: Johnson, P. C.D.
College/School:College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
Journal Name:Methods in Ecology and Evolution
Publisher:Wiley
ISSN:2041-210X
ISSN (Online):2041-210X
Copyright Holders:Copyright © 2014 The Author
First Published:First published in Methods in Ecology and Evolution 5(9):944-946
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
600611Epi-SEQ - Molecular epidemiology of epizootic diseases using next generation sequencing technologyDaniel HaydonBiotechnology and Biological Sciences Research Council (BBSRC)BB/K004484/1RI BIODIVERSITY ANIMAL HEALTH & COMPMED