R2_bayes: Bayesian R-squared for flexreg Objects

In FlexReg: Regression Models for Bounded and Binomial Responses

Bayesian R-squared for flexreg Objects

Description

Bayesian version of R-squared for flexible regression models for continuous bounded or binomial responses

Usage

R2_bayes(model)

Arguments

model

an object of class `flexreg`, usually the result of flexreg or flexreg_binom.

Details

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.

References

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

Examples

data("Reading")
FB <- flexreg(accuracy.adj ~ iq, data = Reading, type = "FB", n.iter=1000)
hist(R2_bayes(FB))

FlexReg documentation built on Sept. 16, 2022, 5:06 p.m.