Divide.Weights

<p>igraph object representing the tree</p>

tree

<p>After the addition of weights for internal nodes the final weights have to be 
computed dividing by the total weight of each parent.</p>

Provides functions for the creation, evaluation and test of decision models based in
Multi Attribute Utility Theory (MAUT). Can process and evaluate local risk aversion utilities
for a set of indexes, compute utilities and weights for the whole decision tree defining the
decision model and simulate weights employing Dirichlet distributions under addition constraints
in weights.

Pedro Guarderas

Decision Models with Multi Attribute Utility Theory

Felipe Aguirre

Julio Andrade

Daniel Lagos

Andr<c3><a9>s Lopez

Nelson Recalde

Edison Salazar

Divide.Weights function

Divide weights of internal nodes — Divide.Weights

Divide weights of internal nodes

Divide.Weights: Divide weights of internal nodes

Description

Usage

Arguments

Value

See Also