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 
[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:
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