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: 0.1.1
Imports: mcmc, methods, entropy
Suggests: testthat, knitr, rmarkdown
Published: 2017-02-23
Author: John Lepird
Maintainer: John Lepird <jlepird at alum.mit.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: prefeR citation info
Materials: README
CRAN checks: prefeR results

Downloads:

Reference manual: prefeR.pdf
Vignettes: Motor Trend Cars
Package source: prefeR_0.1.1.tar.gz
Windows binaries: r-devel: prefeR_0.1.1.zip, r-devel-gcc8: prefeR_0.1.1.zip, r-release: prefeR_0.1.1.zip, r-oldrel: prefeR_0.1.1.zip
OS X binaries: r-release: prefeR_0.1.1.tgz, r-oldrel: prefeR_0.1.1.tgz

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