openest.models.hierarchical_normal module¶

openest.models.hierarchical_normal.draw_from_counts(x_counts, x_range, pval=None)[source]¶

openest.models.hierarchical_normal.generate_thetas(mu_counts, mu_range, tau_counts, tau_range, count)[source]¶

openest.models.hierarchical_normal.get_random(taus, F_tau, count)[source]¶

openest.models.hierarchical_normal.helper_params(means, varis, tau)[source]¶

openest.models.hierarchical_normal.p_tau_given_y(tau, means, varis)[source]¶

openest.models.hierarchical_normal.simulate_normal_model(means, serrs, count, taus=None, do_thetas=False)[source]¶