.estimateEntropy

An object of class BayesPrefClass.

The current best estimate for our weight vector.

currentGuess

Calculates the expected posterior entropy of the prefel object if x and y are compared. Ignores 
the odds of indifference preferences, as using them would increase runtime 50% without much gain.

Allows users to derive multi-objective weights from pairwise comparisons, which
research shows is more repeatable, transparent, and intuitive other techniques. These weights
can be rank existing alternatives or to define a multi-objective utility function for optimization.

John Lepird

prefeR

R Package for Pairwise Preference Elicitation

.estimateEntropy function

Calculates the expected posterior entropy of the prefel object if x and y are compared. Ignores 
the odds of indifference preferences, as using them would increase runtime 50% without much gain. — .estimateEntropy

Calculates the expected posterior entropy of the prefel object if x and y are compared. Ignores 
the odds of indifference preferences, as using them would increase runtime 50% without much gain.

.estimateEntropy: Calculates the expected posterior entropy of the prefel object if x and y are compared. Ignores the odds of indifference preferences, as using them would increase runtime 50% without much gain.

Description

Usage

Arguments