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-4.7-any)prefeR_0.1.3.zip(r-4.6-any)prefeR_0.1.3.zip(r-4.5-any)
prefeR_0.1.3.tgz(r-4.6-any)prefeR_0.1.3.tgz(r-4.5-any)
prefeR_0.1.3.tar.gz(r-4.7-any)prefeR_0.1.3.tar.gz(r-4.6-any)
prefeR_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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/docs site:https://jlepird.github.io
bayesian-inferencemultiobjective-optimizationpreference-elicitation
Last updated from:0d112854b2. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 107 | ||
| source / vignettes | OK | 180 | ||
| linux-release | OK | 113 | ||
| macos-release | OK | 149 | ||
| macos-oldrel | OK | 130 | ||
| windows-devel | OK | 70 | ||
| windows-release | OK | 65 | ||
| windows-oldrel | OK | 68 | ||
| wasm-release | OK | 346 |
