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.

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>
License: MIT + file LICENSE
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:, r-release:, r-oldrel:
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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