Package: dexisensitivity 1.0.4

dexisensitivity: '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) <doi:10.1016/j.envsoft.2011.10.002> and detailed description of the package available in Alaphilippe et al. (2025) <doi:10.1016/j.simpa.2024.100729>.

Authors:Roland Allart [aut], Jacques-Eric Bergez [aut], Marta Carpani [aut], Hervé Monod [aut], Aude Alaphilippe [ctb], Nicolas Cavan [ctb, cre], INRAE [cph] ()