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:
mau_0.3.0.tar.gz
mau_0.3.0.zip(r-4.5)mau_0.3.0.zip(r-4.4)mau_0.3.0.zip(r-4.3)
mau_0.3.0.tgz(r-4.4-any)mau_0.3.0.tgz(r-4.3-any)
mau_0.3.0.tar.gz(r-4.5-noble)mau_0.3.0.tar.gz(r-4.4-noble)
mau_0.3.0.tgz(r-4.4-emscripten)mau_0.3.0.tgz(r-4.3-emscripten)
mau.pdf |mau.html✨
mau/json (API)
NEWS
| # Install 'mau' in R: |
| install.packages('mau', repos = c('https://pedroguarderas.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pedroguarderas/mau/issues
Last updated 6 months agofrom:9ea7d325ef. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-win | NOTE | Nov 22 2024 |
| R-4.5-linux | NOTE | Nov 22 2024 |
| R-4.4-win | NOTE | Nov 22 2024 |
| R-4.4-mac | NOTE | Nov 22 2024 |
| R-4.3-win | NOTE | Nov 22 2024 |
| R-4.3-mac | NOTE | Nov 22 2024 |
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
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| mau | mau-package mau |
| Bar plot of utilities | bar_plot |
| Borda count | borda_count |
| Colley method | colley_rating |
| Evaluation of decision tree nodes | compute_model |
| Compute the deep position of every node | deep_compute |
| Divide weights of internal nodes | divide_weights |
| Evaluate utilities | eval_utilities |
| Compute leaves weights | index_weights |
| Evaluate utilities | make_decision_tree |
| Offensive - Defensive rating method | od_rating |
| Plot decision MAUT model with weights simulations | plot_sim_weight |
| Evaluate utilities | read_tree |
| Read utilities | read_utilities |
| Simulation of constrained weights | sim_const_weights |
| Simulation of weights | sim_weights |
| Spider plot | spider_plot |
| Standardize strings | stand_string |
| Sum weights for internal nodes | sum_weights |
