Journal
METHODS IN ECOLOGY AND EVOLUTION
Volume 5, Issue 9, Pages 944-946Publisher
WILEY
DOI: 10.1111/2041-210X.12225
Keywords
coefficient of determination; generalized linear mixed model; random slopes model; random regression
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Funding
- BBSRC [BB/K004484/1]
- BBSRC [BB/K004484/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/K004484/1] Funding Source: researchfish
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Nakagawa & Schielzeth extended the widely used goodness-of-fit statistic R-2 to apply to generalized linear mixed models (GLMMs). However, their R-GLMM(2) 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. I show that R-GLMM(2) 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 R-GLMM(2).
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