MCDA: Support for the Multicriteria Decision Aiding Process

Support for the analyst in a Multicriteria Decision Aiding (MCDA) process with algorithms, preference elicitation and data visualisation functions. Sébastien Bigaret, Richard Hodgett, Patrick Meyer, Tatyana Mironova, Alexandru Olteanu (2017) Supporting the multi-criteria decision aiding process : R and the MCDA package, Euro Journal On Decision Processes, Volume 5, Issue 1 - 4, pages 169 - 194 <doi:10.1007/s40070-017-0064-1>.

Version: 0.1.0
Imports: Rglpk, glpkAPI, RColorBrewer, combinat, triangle, plyr, ggplot2
Suggests: testthat (≥ 3.0.0)
Published: 2023-11-24
DOI: NA
Author: Patrick Meyer, Sébastien Bigaret, Richard Hodgett, Alexandru-Liviu Olteanu, David Palma, Aritad Alan Choicharoon
Maintainer: David Palma <d.palma at leeds.ac.uk>
License: EUPL (≥ 1.1)
URL: https://github.com/paterijk/MCDA
NeedsCompilation: no
Materials: README
CRAN checks: MCDA results

Documentation:

Reference manual: MCDA.pdf

Downloads:

Package source: MCDA_0.1.0.tar.gz
Windows binaries: r-devel: MCDA_0.1.0.zip, r-release: MCDA_0.1.0.zip, r-oldrel: MCDA_0.1.0.zip
macOS binaries: r-release (arm64): MCDA_0.1.0.tgz, r-oldrel (arm64): MCDA_0.1.0.tgz, r-release (x86_64): MCDA_0.1.0.tgz, r-oldrel (x86_64): MCDA_0.1.0.tgz
Old sources: MCDA archive

Linking:

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