def _run_SEIR_BAYES_model(N, E0, I0, R0, R0__params: 'repr. rate mean and std', gamma_inv_params: 'removal rate mean and std', alpha_inv_params: 'incubation rate mean and std', t_max, runs, interactive=True, scale='log', show_uncertainty=True): S, E, I, R, t_space = run_SEIR_BAYES_model(N, E0, I0, R0, R0__params, gamma_inv_params, alpha_inv_params, t_max, runs) if interactive: return seir_bayes_interactive_plot(N, E0, I0, R0, t_max, runs, S, E, I, R, t_space, scale=scale, show_uncertainty=show_uncertainty) return seir_bayes_plot(N, E0, I0, R0, R0__params, gamma_inv_params, alpha_inv_params, t_max, runs, S, E, I, R, t_space)
def _run_SEIR_BAYES_model(N, E0, I0, R0, R0__loc, R0__scale, gamma_loc, gamma_scale, alpha_loc, alpha_scale, t_max, runs): S, E, I, R, t_space = st.cache(run_SEIR_BAYES_model)( N, E0, I0, R0, R0__loc, R0__scale, gamma_loc, gamma_scale, alpha_loc, alpha_scale, t_max, runs) fig = seir_bayes_plot(N, E0, I0, R0, R0__loc, R0__scale, gamma_loc, gamma_scale, alpha_loc, alpha_scale, t_max, runs, S, E, I, R, t_space) return fig