mau: Decision Models with Multi Attribute Utility Theory

Provides functions for the creation, evaluation and test of decision models based in Multi Attribute Utility Theory (MAUT). Can process and evaluate local risk aversion utilities for a set of indexes, compute utilities and weights for the whole decision tree defining the decision model and simulate weights employing Dirichlet distributions under addition constraints in weights. Also includes other rating analysis methods as for example the Colley, Offensive - Defensive ratings and the ranking aggregation with Borda count.

Version: 0.4.0
Depends: R (≥ 3.0)
Imports: data.table, gtools, stringr, igraph, RColorBrewer, ggplot2, Rdpack
Suggests: knitr, rmarkdown, testthat (≥ 3.1.0)
Published: 2026-02-13
DOI: 10.32614/CRAN.package.mau
Author: Felipe Aguirre [ctb], Julio Andrade [ctb], Pedro Guarderas [aut, cre], Daniel Lagos [ctb], Andrés Lopez [ctb], Nelson Recalde [ctb], Edison Salazar [ctb]
Maintainer: Pedro Guarderas <pedro.felipe.guarderas at gmail.com>
License: LGPL-3
URL: https://github.com/pedroguarderas/mau
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: mau results

Documentation:

Reference manual: mau.html , mau.pdf
Vignettes: Running a MAUT Model (source, R code)
Rankings (source, R code)

Downloads:

Package source: mau_0.4.0.tar.gz
Windows binaries: r-devel: mau_0.1.2.zip, r-release: mau_0.1.2.zip, r-oldrel: mau_0.1.2.zip
macOS binaries: r-release (arm64): mau_0.1.2.tgz, r-oldrel (arm64): mau_0.1.2.tgz, r-release (x86_64): mau_0.1.2.tgz, r-oldrel (x86_64): mau_0.1.2.tgz
Old sources: mau archive

Linking:

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