An R6 class representing a reaction (chance) edge in a decision tree.
Andrew J. Sims andrew.sims@newcastle.ac.uk
rdecision::Edge -> rdecision::Arrow -> Reaction
new()Create an object of type Reaction. A probability must be assigned
to the edge. Optionally, a cost and a benefit may be associated
with traversing the edge. A pay-off (benefit-cost) is sometimes
used in edges of decision trees; the parametrization used here is more
general.
Reaction$new(source, target, p, cost = 0, benefit = 0, label = "")sourceChance node from which the arrow leaves.
targetNode which the arrow enters.
pProbability
costCost associated with traversal of this edge.
benefitBenefit associated with traversal of the edge.
labelCharacter string containing the arrow label.
A new Reaction object.
modvars()Find all the model variables of type ModVar that have been
specified
as values associated with this Action. Includes operands of these
ModVars, if they are expressions.
Reaction$modvars()A list of ModVars.
p()Return the current value of the edge probability, i.e. the conditional probability of traversing the edge.
Reaction$p()Numeric value in range [0,1].
cost()Return the cost associated with traversing the edge.
Reaction$cost()Cost.
benefit()Return the benefit associated with traversing the edge.
Reaction$benefit()Benefit.
clone()The objects of this class are cloneable with this method.
Reaction$clone(deep = FALSE)deepWhether to make a deep clone.
A specialism of class Arrow which is used in a decision tree
to represent edges whose source nodes are ChanceNodes.