Function reference • badr

All functions
`Design()` `sample_size()` `critical_value()` `futility_region()` `efficacy_region()` `continuation_region()` `pmf()` `probability_to_reject()` `expected_sample_size()` `sample_space()` `reject()` `as_tibble(<Design>)` `plot(<Design>)` `plot_designs()` `plot_power()` `plot_ess()` `plot_compare_designs()`	Generic two-stage designs for single-arm trials with binary endpoint
`Power()`	(Expected) power score
`density(<Prior>)` `cdf()` `mean(<Prior>)` `PointMass()` `Beta()` `Beta_mu_sd()` `JeffreysPrior()`	Prior distributions for response probability
`SampleSize()`	Sample-size score
`adapt()`	Adapt an existing design
`badr`	badr
`binomial_test()`	Single-stage binomial test
`condition()` `%\|%`	Conditioning of prior distributions
`>=`(<Power>,<numeric>)	Power and type-one-error-rate constraints
`minimise_maximal_sample_size()` `minimise()` `maximise()`	Objective functions for optimal two-stage designs
`Problem()` `optimise_design()`	Optimise a trial design
`evaluate()`	Scores
`update(<PointMass>)` `update(<Beta>)` `update(<BetaMixture>)` `update(<GenericDistribution>)` `update(<JeffreysPrior>)`	Bayesian updating of prior distributions

Reference