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Adjusted R² for GLMMs Explained by ch6tzxs5cg is a document available to read on EtoBox.

What is Adjusted R² for GLMMs Explained about?

This research article proposes a new coefficient of determination (R2) for generalized linear mixed models that accounts for correlations in observed responses without the need for fitting a null model. The method utilizes an average semivariance metric and includes a bias correction for the variance explained by fixed effects, demonstrating minimal bias through simulations. The approach is illustrated with examples and is applicable to various error distributions and link functions in mixed models.

Author
ch6tzxs5cg
Language
EN