Package: prefeR 0.1.3
John Lepird
prefeR: R Package for Pairwise Preference Elicitation
Allows users to derive multi-objective weights from pairwise comparisons, which research shows is more repeatable, transparent, and intuitive other techniques. These weights can be rank existing alternatives or to define a multi-objective utility function for optimization.
Authors:
prefeR_0.1.3.tar.gz
prefeR_0.1.3.zip(r-4.5)prefeR_0.1.3.zip(r-4.4)prefeR_0.1.3.zip(r-4.3)
prefeR_0.1.3.tgz(r-4.5-any)prefeR_0.1.3.tgz(r-4.4-any)prefeR_0.1.3.tgz(r-4.3-any)
prefeR_0.1.3.tar.gz(r-4.5-noble)prefeR_0.1.3.tar.gz(r-4.4-noble)
prefeR_0.1.3.tgz(r-4.4-emscripten)prefeR_0.1.3.tgz(r-4.3-emscripten)
prefeR.pdf |prefeR.html✨
prefeR/json (API)
| # Install 'prefeR' in R: |
| install.packages('prefeR', repos = c('https://jlepird.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jlepird/prefer/issues
Pkgdown site:https://jlepird.github.io
bayesian-inferencemultiobjective-optimizationpreference-elicitation
Last updated 3 years agofrom:ed69536e80. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 13 2025 |
| R-4.5-win | OK | Mar 13 2025 |
| R-4.5-mac | OK | Mar 13 2025 |
| R-4.5-linux | OK | Mar 13 2025 |
| R-4.4-win | OK | Mar 13 2025 |
| R-4.4-mac | OK | Mar 13 2025 |
| R-4.4-linux | OK | Mar 13 2025 |
| R-4.3-win | OK | Mar 13 2025 |
| R-4.3-mac | OK | Mar 13 2025 |
