6.11 Exercises

1. Read the Bambi documentation ( https://bambinos.github.io/bambi/) and learn how to specify custom priors.

2. Apply what you learned in the previous point and specify a HalfNormal prior for the slope of model_t.

3. Define a model like model_poly4, but using raw polynomials, compare the coefficients and the mean fit of both models.

4. Explain in your own words what a distributional model is.

5. Expand model_spline to a distributional model. Use another spline to model the α parameter of the NegativeBinomial family.

6. Create a model named model_p2 for the body_mass with the predictors bill_length, bill_depth, flipper_length, and species.

7. Use LOO to compare the model in the previous point and model_p.

8. Use the functions in the interpret module to interpret model_p2. Use both plots and tables.