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R2 and AIC values for sixteen candidate linear mixed-effects models.

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Figshare2019-11-27 更新2026-04-29 收录
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https://figshare.com/articles/dataset/R_sup_2_sup_and_AIC_values_for_sixteen_candidate_linear_mixed-effects_models_/11288060
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Note that marginal R2 denotes the percent variance explained by the fixed effects, whereas the conditional R2 includes both fixed effects and random effects. Delta AIC is the difference between each model relative to the most parsimonious model and Akaike weight indicates the percent support of a given model.
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2019-11-27
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