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
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

Documentation:

Reference manual: prefeR.pdf
Vignettes: Motor Trend Cars

Downloads:

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

Linking:

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