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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: 2021-07-07
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.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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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