R: R Package for Pairwise Preference Elicitation

# R Package for Pairwise Preference Elicitation

## Documentation for package ‘prefeR’ version 0.1.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

%<% | A helper function to add in preferences in a user-friendly way.
%=% | A helper function to add in preferences in a user-friendly way.
%>% | A helper function to add in preferences in a user-friendly way.
.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.
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.
infer | A function that estimates the user's underlying utility function.
Normal | A convenience function for generating Normal priors.
prefEl | A shortcut to create objects of the class BayesPrefClass.
suggest | Suggests a good comparison for the user to make next.