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.

Documentation

Manual: prefeR.pdf
Vignette: Motor Trend Cars

Maintainer: John Lepird <jlepird at alum.mit.edu>

Author(s): John Lepird

Install package and any missing dependencies by running this line in your R console:

install.packages("prefeR")

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Imports mcmc, methods, entropy
Suggests testthat, knitr, rmarkdown
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Package prefeR
Materials
URL
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Version 0.1.1
Published 2017-02-23
License MIT + file LICENSE
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks prefeR check results
Package source prefeR_0.1.1.tar.gz