Posterior Predictive Testing
Now let's practice comparing our replicated predictions to our observed data more than one at a time. By comparing our data to all replications, we can assess how well the model fits the data.
This exercise is part of the course
Bayesian Regression Modeling with rstanarm
Exercise instructions
- Plot the density of predicted scores from replication compared to the observed density
- Create a scatter plot of the mean and standard deviations of the replicated predicted scores compared to the observed data
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create density comparison
___(stan_model, "___")
# Create scatter plot of means and standard deviations
___(stan_model, "___")