An R2 statistic for fixed effects in the generalized linear mixed model

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The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded (2016, positive): “Our descriptions were limited to random-intercept GLMMs, but Johnson [4] has 33 recently extended the methods to random-slope GLMMs, widening the applicability of these 34 statistics (see also, [5, 6]).”
Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures. (2019, methodology): “Although lists of existing MLM R2 measures proposed by different authors have been compiled (e.g., Jaeger et al., 2017; LaHuis et al., 2014; Orelien & Edwards, 2008; Roberts et al., 2011; Wang & Schaalje, 2009), general analytic relationships and equivalencies among these measures in the population…”
Skill and experience impact neural activity during global and local biological motion processing. (2023, methodology): “We reported model performance as the marginal R 2 values for LMERs which provides the variance explained by fixed effects of the model (Jaeger et al., 2017).”