Physics

Internal medicine

Generalized linear mixed model

Random effects model

Mathematics

Statistic

Meta-analysis

Statistical physics

Statistics

Goodness of fit

Mixed model

Programming language

Extension (predicate logic)

Computer science

Medicine

Methods in Ecology and Evolution

Summary Nakagawa &amp; Schielzeth extended the widely used goodness‐of‐fit statistic R 2 to apply to generalized linear mixed models ( GLMM s). However, their R 2 GLMM 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 2 GLMM 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 2 GLMM .

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