Package: revpref 0.1.0.9000
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.
Authors:
revpref_0.1.0.9000.tar.gz
revpref_0.1.0.9000.zip(r-4.5)revpref_0.1.0.9000.zip(r-4.4)revpref_0.1.0.9000.zip(r-4.3)
revpref_0.1.0.9000.tgz(r-4.4-any)revpref_0.1.0.9000.tgz(r-4.3-any)
revpref_0.1.0.9000.tar.gz(r-4.5-noble)revpref_0.1.0.9000.tar.gz(r-4.4-noble)
revpref_0.1.0.9000.tgz(r-4.4-emscripten)revpref_0.1.0.9000.tgz(r-4.3-emscripten)
revpref.pdf |revpref.html✨
revpref/json (API)
| # Install 'revpref' in R: |
| install.packages('revpref', repos = c('https://ksurana21.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ksurana21/revpref/issues
Last updated 3 years agofrom:1b25f1ee7a. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-win | OK | Oct 26 2024 |
| R-4.5-linux | OK | Oct 26 2024 |
| R-4.4-win | OK | Oct 26 2024 |
| R-4.4-mac | OK | Oct 26 2024 |
| R-4.3-win | OK | Oct 26 2024 |
| R-4.3-mac | OK | Oct 26 2024 |
Exports:bronarscceigarpmpisarpwarp
Dependencies:gtools
