jlepird/BayesPref: R Package for Pairwise Preference Elicitation

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.

Getting started

Package details

AuthorJohn Lepird
MaintainerJohn Lepird <jlepird@alum.mit.edu>
LicenseMIT + file LICENSE
Version0.1.3
URL https://github.com/jlepird/prefeR https://jlepird.github.io/prefeR/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jlepird/BayesPref")
jlepird/BayesPref documentation built on April 29, 2022, 5:47 a.m.