Description Usage Arguments See Also Examples
Conceptually, constraints work very similar to scores (any score can be put in a constraint). Currently, constraints of the form 'score <=/>= x', 'x <=/>= score' and 'score <=/>= score' are admissible.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | ## S4 method for signature 'Constraint,TwoStageDesign'
evaluate(s, design, optimization = FALSE, ...)
## S4 method for signature 'ConditionalScore,numeric'
e1 <= e2
## S4 method for signature 'ConditionalScore,numeric'
e1 >= e2
## S4 method for signature 'numeric,ConditionalScore'
e1 <= e2
## S4 method for signature 'numeric,ConditionalScore'
e1 >= e2
## S4 method for signature 'ConditionalScore,ConditionalScore'
e1 <= e2
## S4 method for signature 'ConditionalScore,ConditionalScore'
e1 >= e2
## S4 method for signature 'UnconditionalScore,numeric'
e1 <= e2
## S4 method for signature 'UnconditionalScore,numeric'
e1 >= e2
## S4 method for signature 'numeric,UnconditionalScore'
e1 <= e2
## S4 method for signature 'numeric,UnconditionalScore'
e1 >= e2
## S4 method for signature 'UnconditionalScore,UnconditionalScore'
e1 <= e2
## S4 method for signature 'UnconditionalScore,UnconditionalScore'
e1 >= e2
|
s |
|
design |
object |
optimization |
logical, if |
... |
further optional arguments |
e1 |
left hand side (score or numeric) |
e2 |
right hand side (score or numeric) |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | design <- OneStageDesign(50, 1.96)
cp <- ConditionalPower(Normal(), PointMassPrior(0.4, 1))
pow <- Power(Normal(), PointMassPrior(0.4, 1))
# unconditional power constraint
constraint1 <- pow >= 0.8
evaluate(constraint1, design)
# conditional power constraint
constraint2 <- cp >= 0.7
evaluate(constraint2, design, .5)
constraint3 <- 0.7 <= cp # same as constraint2
evaluate(constraint3, design, .5)
|
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