revpref: Tools for Computational Revealed Preference Analysis

Tools to (i) check consistency of a finite set of consumer demand observations with a number of revealed preference axioms at a given efficiency level, (ii) compute goodness-of-fit indices when the data do not obey the axioms, and (iii) compute power against uniformly random behavior.

Getting started

Package details

AuthorKhushboo Surana [aut, cre] (<https://orcid.org/0000-0002-0453-6182>)
MaintainerKhushboo Surana <khushboo.surana@york.ac.uk>
LicenseMIT + file LICENSE
Version0.1.0
URL https://github.com/ksurana21/revpref
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("revpref")

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revpref documentation built on July 7, 2021, 9:07 a.m.