## All functions

BayesPrefClass
An object containing all data necessary for preference elicitation.
Exp()
A convenience function for generating Exponential priors.
Flat()
A convenience function for generating a flat prior.
Normal()
A convenience function for generating Normal priors.
.calculateLogProb()
Calculates the log probability of seeing a given set of preferences
.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.
.getLogIndifProb()
Evaluates the likelihood of the observed indifference preferences
.getLogStrictProb()
Evaluates the likelihood of the observed strict preferences
.sampleEntropy()
Calculates the entropy of a matrix of samples.
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A helper function to add in preferences in a user-friendly way.
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A helper function to add in preferences in a user-friendly way.
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A helper function to add in preferences in a user-friendly way.
infer()
A function that estimates the user's underlying utility function.
prefEl()
A shortcut to create objects of the class BayesPrefClass.
suggest()
Suggests a good comparison for the user to make next.