run.benchmark: Establish the Positive Rate
In tpq/rarsim: Response-Adaptive Randomization Simulation Station

Establish the Positive Rate

run.benchmark(
  scheduler,
  simulator,
  N.trials = 10,
  N.allocate = scheduler@N.burn.in,
  alpha = 0.05,
  repititions = 1000,
  fast = FALSE,
  how.stats = "stats.empiric",
  ...
)

`scheduler`	A `scheduler` object.
`simulator`	A `simulator` object.
`N.trials`	An integer. The total number of times to allocate patients.
`N.allocate`	An integer. The total number of patients to allocate next. By default, `N.allocate` is set equal to `N.burn.in`.
`alpha`	The Type I error to control.
`repititions`	An integer. The number of times to repeat the trial.
`fast`	If TRUE, measure p-value at final time step only.
`how.stats`	A string. The statistical method used to compute a p-value.
`...`	Named arguments passed to `how.stats` method.