Package: mau 0.3.0

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.

Authors:Felipe Aguirre [ctb], Julio Andrade [ctb], Pedro Guarderas [aut, cre], Daniel Lagos [ctb], Andrés Lopez [ctb], Nelson Recalde [ctb], Edison Salazar [ctb]

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NEWS

Peer review:

Bug tracker:https://github.com/pedroguarderas/mau/issues

On CRAN:

decision-modelutility

18 exports 1 stars 1.18 score 39 dependencies 11 scripts 184 downloads

Last updated 4 months agofrom:9ea7d325ef. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:bar_plotborda_countcolley_ratingcompute_modeldeep_computedivide_weightseval_utilitiesindex_weightsmake_decision_treeod_ratingplot_sim_weightread_treeread_utilitiessim_const_weightssim_weightsspider_plotstand_stringsum_weights

Dependencies:clicolorspacecommonmarkcpp11data.tablefansifarverggplot2gluegtablegtoolsigraphisobandlabelinglatticelifecyclemagrittrmarkdownMASSMatrixmgcvmunsellnlmepillarpkgconfigR6rbibutilsRColorBrewerRdpackrlangscalesstringistringrtibbleutf8vctrsviridisLitewithrxfun