Bayesian version of R-squared for flexible regression models for continuous bounded or binomial data.
an object of class
The function provides a Bayesian version of the R-squared measure, defined as the variance of the predicted values divided by itself plus the expected variance of the errors.
Andrew Gelman, Ben Goodrich, Jonah Gabry & Aki Vehtari (2019) R-squared for Bayesian Regression Models, The American Statistician, 73:3, 307-309, DOI: 10.1080/00031305.2018.1549100
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