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 |
| 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: mau_0.1.2.tgz, r-oldrel: mau_0.1.2.tgz |
| Old sources: | mau archive |
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