Description
'DEXi' Decision Tree Analysis and Visualization.
Description
Provides a versatile toolkit for analyzing and visualizing 'DEXi' (Decision EXpert for education) decision trees, facilitating multi-criteria decision analysis directly within R. Users can read .dxi files, manipulate decision trees, and evaluate various scenarios. It supports sensitivity analysis through Monte Carlo simulations, one-at-a-time approaches, and variance-based methods, helping to discern the impact of input variations. Additionally, it includes functionalities for generating sampling plans and an array of visualization options for decision trees and analysis results. A distinctive feature is the synoptic table plot, aiding in the efficient comparison of scenarios. Whether for in-depth decision modeling or sensitivity analysis, this package stands as a comprehensive solution. Definition of sensitivity analyses available in Carpani, Bergez and Monod (2012) <doi:10.1016/j.envsoft.2011.10.002> and detailed description of the package soon available in Alaphilippe, Allart, Carpani, Cavan, Monod and Bergez (submitted to Software Impacts).
README.md
dexisensitivity
Overview
This package allows to manipulate 'DEXi' (Decision EXpert for education) decision trees in R and provides additionnal functionnalities for users of the 'DEXi' software:
- sensitivity analyses (Monte Carlo simulations, one-at-a-time approaches, and variance-based methods) to discern the impact of input variations
- vizualisation options for decision trees and analysis results
Installation
install.packages("dexisensitivity")
Getting help
If you encounter a clear bug, please file a minimal reproducible example on github. For questions, please contact [email protected].