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.
| 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 |
Documentation:
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