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R-squared for a Bayesian Model

Now let's calculate the R-squared for a Bayesian model so we can assess the predictions of models estimated with stan_glm. The stan_model object is already loaded.

This exercise is part of the course

Bayesian Regression Modeling with rstanarm

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Exercise instructions

  • Calculate the variance of the residuals of stan_model
  • Calculate the variance of the fitted values of stan_model
  • Calculate the R-squared

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Save the variance of residulas
ss_res <- ___(___(stan_model))

# Save the variance of fitted values
ss_fit <- ___(___(stan_model))

# Calculate the R-squared
1 - (___ / (___ + ___))
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