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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