The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models
Open accessAbstract
Summary: Nakagawa & Schielzeth extended the widely used goodness‐of‐fit statistic R2 to apply to generalized linear mixed models (GLMM s). 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. 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.
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Cites
A general and simple method for obtaining R 2 from generalized linear mixed‐effects models
Nakagawa, S., & Schielzeth, H. (2013) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00261.x · Cited by 10,356
Random-Effects Models for Longitudinal Data
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Repeatability for Gaussian and non-Gaussian data: a practical guide for biologists.
Nakagawa, S., & Schielzeth, H. (2010) · Biological Reviews · doi:10.1111/j.1469-185x.2010.00141.x · Cited by 2,584
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Cited by
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A brief introduction to mixed effects modelling and multi-model inference in ecology
Harrison, X. A., Donaldson, L., Correa-Cano, M. E., Evans, J., Fisher, D. N., Goodwin, C. E. D., Robinson, B. S., Hodgson, D. J., & Inger, R. (2018) · PeerJ · doi:10.7717/peerj.4794 · Cited by 2,094
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Browning, M. H. E. M., Larson, L. R., Sharaievska, I., Rigolon, A., McAnirlin, O., Mullenbach, L., Cloutier, S., Vu, T. M., Thomsen, J., Reigner, N., et al. (2021) · PLOS ONE · doi:10.1371/journal.pone.0245327 · Cited by 888
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Metadata
- Authors
- Johnson, P. C. D.
- Venue
- Methods in Ecology and Evolution
- Publisher
- Wiley
- Published
- 2014-07-23
- Volume
- 5
- Issue
- 9
- Pages
- 944-946
- ISSN
- 2041-210X (ISSN-L)
- OpenAlex
- W2060444352
- Cited by
- 948
- References
- 3
- FWCI
- 91.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Funders
- Biotechnology and Biological Sciences Research Council (BB/K004484/1)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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