'DEXi' Decision Tree Analysis and Visualization
Dual Order AOV on a Decision Tree
Compare Scenarios Using a Radial Plot
Create a List of Synoptic Plots Based on Different Options
Generate Random Options Matrix for a Given Tree
Create a Subtree Starting from a Specific Node
Create a Synoptic Plot from a Given Tree Structure
Tree Construction from DEXi's XML Output
Describe Method for Tree Class Objects
Generic Describe Function for Objects
dexisensitivity: 'DEXi' Decision Tree Analysis and Visualization
Execution Time Estimation for Factorial Simulations
Estimates Execution Time for Monte Carlo Simulations
Evaluate Node Values in a Tree
Evaluate Multiple Scenarios for a Given Tree
Compute Sensitivity Index for Decision Tree
Load Options Table from a File
Monte Carlo Simulation on a Decision Tree
Node Class Definition
OFAT Sensitivity Analysis
Show Sensitivity Index (SI)
Print Method for Node Class Object
Print Method for Tree Class Objects
Save Options Table
Save Evaluation Results of Scenarios to a File
Visualization of Monte Carlo Simulation Results
Visualize OFAT Sensitivity Analysis Outcomes
Plot a Bar Chart for a Single Scenario
Show Method for Tree Class Objects
Compute Sensitivity Index (SI) for Decision Tree
Tree Class Definition
Visualize AOV Outcomes
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 et al. (2025) <doi:10.1016/j.simpa.2024.100729>.