Rootogram

Rootogram for the posterior predictive and observed data.

using ArviZPythonPlots, ArviZExampleData

use_style("arviz-variat")

data = load_example_data("rugby")
pc = plot_ppc_rootogram(
    data;
    var_names=["home_points", "away_points"],
    aes=Dict("color" => ["__variable__"]),
    aes_by_visuals=Dict("title" => ["color"]),
)
pc.add_title("Posterior Predictive Rootogram for Rugby Model")

See plot_ppc_rootogram.

See also the EABM chapter on Posterior predictive checks for count data.