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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.
Version: | 0.1.2 |
Depends: | R (≥ 3.0) |
Imports: | data.table, gtools, stringr, igraph, RColorBrewer, ggplot2, Rdpack |
Suggests: | knitr, rmarkdown |
Published: | 2018-01-17 |
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 |
Reference manual: | mau.pdf |
Vignettes: |
Running a MAUT Model |
Package source: | mau_0.1.2.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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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