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:	0.0.22
Imports:	Rglpk, glpkAPI, methods, RColorBrewer, combinat, triangle, plyr, ggplot2
Suggests:	Rgraphviz, cplexAPI
Published:	2022-09-20
Author:	Patrick Meyer, Sébastien Bigaret, Richard Hodgett, Alexandru-Liviu Olteanu
Maintainer:	Patrick Meyer <patrick.meyer at imt-atlantique.fr>
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_0.0.22.tar.gz
Windows binaries:	r-devel: MCDA_0.0.22.zip, r-release: MCDA_0.0.22.zip, r-oldrel: MCDA_0.0.22.zip
macOS binaries:	r-release (arm64): MCDA_0.0.22.tgz, r-oldrel (arm64): MCDA_0.0.22.tgz, r-release (x86_64): MCDA_0.0.22.tgz, r-oldrel (x86_64): MCDA_0.0.22.tgz
Old sources:	MCDA archive

Linking:

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