'DEXi' Decision Tree Analysis and Visualization

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) and detailed description of the package available in Alaphilippe et al. (2025) .

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:

1. sensitivity analyses (Monte Carlo simulations, one-at-a-time approaches, and variance-based methods) to discern the impact of input variations
2. visualization 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]