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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.
| Version: | 0.1.3 |
| Imports: | mcmc, methods, entropy |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2022-04-24 |
| DOI: | 10.32614/CRAN.package.prefeR |
| Author: | John Lepird |
| Maintainer: | John Lepird <jlepird at alum.mit.edu> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/jlepird/prefeR, https://jlepird.github.io/prefeR/ |
| NeedsCompilation: | no |
| Citation: | prefeR citation info |
| Materials: | README |
| CRAN checks: | prefeR results |
| Reference manual: | prefeR.pdf |
| Vignettes: |
Motor Trend Cars |
| Package source: | prefeR_0.1.3.tar.gz |
| Windows binaries: | r-devel: prefeR_0.1.3.zip, r-release: prefeR_0.1.3.zip, r-oldrel: prefeR_0.1.3.zip |
| macOS binaries: | r-release (arm64): prefeR_0.1.3.tgz, r-oldrel (arm64): prefeR_0.1.3.tgz, r-release (x86_64): prefeR_0.1.3.tgz, r-oldrel (x86_64): prefeR_0.1.3.tgz |
| Old sources: | prefeR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.