adoptr (version 0.1.1)

Constraint-class: Formulating constraints

Description

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 admissable.

Usage

# S4 method for Constraint
show(object)
# S4 method for AbstractConditionalScore,numeric
<=(e1, e2)
# S4 method for AbstractConditionalScore,numeric
>=(e1, e2)
# S4 method for numeric,AbstractConditionalScore
<=(e1, e2)
# S4 method for numeric,AbstractConditionalScore
>=(e1, e2)
# S4 method for AbstractConditionalScore,AbstractConditionalScore
<=(e1, e2)
# S4 method for AbstractConditionalScore,AbstractConditionalScore
>=(e1, e2)
# S4 method for UnconditionalScore,numeric
<=(e1, e2)
# S4 method for UnconditionalScore,numeric
>=(e1, e2)
# S4 method for numeric,UnconditionalScore
<=(e1, e2)
# S4 method for numeric,UnconditionalScore
>=(e1, e2)
# S4 method for UnconditionalScore,UnconditionalScore
<=(e1, e2)
# S4 method for UnconditionalScore,UnconditionalScore
>=(e1, e2)

Arguments

object

object of class Constraint

e1

first comparator

e2

second comparator

...

further optional arguments

Examples

# NOT RUN {
cp          <- ConditionalPower(Normal(), PointMassPrior(0.4, 1))
pow         <- expected(cp)
constraint1 <- pow >= 0.8 # an unconditional power constraint
constraint2 <- cp >= 0.7 # a conditional power constraint
constraint3 <- 0.7 <= cp # yields the same as constraint2

# }