Optimise a trial design

[todo]

Problem(objective, toer, power, label = "", unimodal = FALSE, ...)

optimise_design(problem, verbosity = 3, timelimit = 180, ...)

Arguments

objective	object of class Objective (see objectives)
toer	type one error rate constraint (see constraints)
power	power constraint (see constraints)
label	label for the problem
unimodal	force unimodal solution (can be time consuming!)
...	optional arguments
problem	object of class Problem
verbosity	verbosity level of optimisation procedure
timelimit	maximum time spent in ILP solver (in seconds)

See also

scores, constraints, objectives, Design

Examples

# \donttest{
  prior   <- Beta(5, 7)
  problem <- Problem(
      minimise(SampleSize(prior)),
      Power(prior %|% 0.2) <= 0.05,
      Power(prior  >= 0.3) >= 0.80
  )
  design <- optimise_design(problem)
# }