This class analyses the target study on its own, with a uniform
prior on each arm response rate. The posterior is available in closed form,
so it inherits from the BinomialConjugate class rather than sampling.
Super classes
Model -> BinomialConjugate -> BinomialSeparate
Methods
Inherited methods
Model$calibrate_for_design()Model$check_data()Model$create()Model$empirical_bayes_update()Model$estimate_bayesian_operating_characteristics()Model$estimate_frequentist_operating_characteristics()Model$hypothesis_space_transformation()Model$inference()Model$inference_cache_scope()Model$plot_pdfs()Model$plot_posterior_pdf()Model$plot_prior_pdf()Model$posterior_beta_mixture()Model$posterior_mean()Model$posterior_to_RBesT()Model$print_model_summary()Model$prior_elir_ess()Model$prior_to_RBesT()Model$simulation_for_given_treatment_effect()Model$test_decision()Model$vectorised_replicate_inference()BinomialConjugate$credible_interval()BinomialConjugate$initialize()BinomialConjugate$posterior_cdf()BinomialConjugate$posterior_ess()BinomialConjugate$posterior_median()BinomialConjugate$posterior_moments()BinomialConjugate$posterior_pdf()BinomialConjugate$posterior_quantile()BinomialConjugate$prior_cdf()BinomialConjugate$prior_given_control_rate()BinomialConjugate$prior_pdf()BinomialConjugate$sample_posterior()BinomialConjugate$sample_prior()BinomialConjugate$summary_rows()