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Evaluation of decision tree nodes. All the MAUT model is computed at every level the utilities are computed considering the given weights.
Compute.Model(tree, utilities, weights)
initial tree structure with utilities in its leafs.
data.table with ordered columns containing the values of utilities.
weights for the decision model.
data.table structure containing the utilities of the model for every level the decision tree.
The whole decision model can be computed a any level and represented in a table format.
Stand.String, Read.Utilities, Eval.Utilities, Read.Tree, Make.Decision.Tree, Sim.Const.Weights.
Stand.String
Read.Utilities
Eval.Utilities
Read.Tree
Make.Decision.Tree
Sim.Const.Weights
# NOT RUN { vignette( topic = 'Running_MAUT', package = 'mau' ) # }
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