Tools for Computational Revealed Preference Analysis [R package revpref version 0.1.0]

Khushboo Surana

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.

Version: 0.1.0

Imports: gtools

Suggests: rmarkdown, knitr

Published: 2021年07月07日

DOI: 10.32614/CRAN.package.revpref

Author: Khushboo Surana ORCID iD [aut, cre]

Maintainer: Khushboo Surana <khushboo.surana at york.ac.uk>

BugReports: https://github.com/ksurana21/revpref/issues

License: MIT + file LICENSE

URL: https://github.com/ksurana21/revpref

NeedsCompilation: no

Materials: README

CRAN checks: revpref results

Documentation:

Reference manual: revpref.html , revpref.pdf

Downloads:

Package source: revpref_0.1.0.tar.gz

Windows binaries: r-devel: revpref_0.1.0.zip, r-release: revpref_0.1.0.zip, r-oldrel: revpref_0.1.0.zip

macOS binaries: r-release (arm64): revpref_0.1.0.tgz, r-oldrel (arm64): revpref_0.1.0.tgz, r-release (x86_64): revpref_0.1.0.tgz, r-oldrel (x86_64): revpref_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=revpref to link to this page.