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>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: revpref results


Reference manual: revpref.pdf


Package source: revpref_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): revpref_0.1.0.tgz, r-release (x86_64): revpref_0.1.0.tgz, r-oldrel: revpref_0.1.0.tgz


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