Bayesian version of R-squared for flexible regression models for bounded continuous and discrete responses.
an object (or a list of objects) 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.
A list with the same length as the number of objects of class
`flexreg` passed in the
Each element of the list contains a vector of Bayesian R-squared values with the same length as the Markov Chain(s) after warmup.
Gelman, A., Goodrich, B., Gabry, J., Vehtari, A. (2019). R-squared for Bayesian Regression Models, The American Statistician, 73:3, 307–309. doi: 10.1080/00031305.2018.1549100
data("Reading") FB <- flexreg(accuracy.adj ~ iq, data = Reading, type = "FB", n.iter=1000) hist(R2_bayes(FB)[])
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