Create a collection of constraints

subject_to(...) can be used to generate an object of class ConstraintsCollection from an arbitrary number of (un)conditional constraints.

Usage

subject_to(...)

# S4 method for class 'ConstraintsCollection,TwoStageDesign'
evaluate(s, design, optimization = FALSE, ...)

Arguments

...

either constraint objects (for subject_to or optional arguments passed to evaluate)

s

object of class ConstraintCollection

design

object

optimization

logical, if TRUE uses a relaxation to real parameters of the underlying design; used for smooth optimization.

Value

an object of class ConstraintsCollection

See also

subject_to is intended to be used for constraint specification the constraints in minimize.

Examples

# define type one error rate and power
toer  <- Power(Normal(), PointMassPrior(0.0, 1))
power <- Power(Normal(), PointMassPrior(0.4, 1))

# create constrain collection
subject_to(
  toer  <= 0.025,
  power >= 0.9
)
#> An object of class "ConstraintsCollection"
#> Slot "unconditional_constraints":
#> [[1]]
#> Pr[x2>=c2(x1)] <= 0.025 
#> 
#> [[2]]
#> -Pr[x2>=c2(x1)]  <= -0.9 
#> 
#> 
#> Slot "conditional_constraints":
#> list()
#>