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 soon available in Alaphilippe, Allart, Carpani, Cavan, Monod and Bergez (submitted to Software Impacts).
- Version1.0.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release10/29/2024
Documentation
Team
Nicolas Cavan
Hervé Monod
Show author detailsRolesAuthorINRAE
Show author detailsRolesCopyright holderRoland Allart
Show author detailsRolesAuthorJacques-Eric Bergez
Show author detailsRolesAuthorMarta Carpani
Show author detailsRolesAuthorAude Alaphilippe
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- Imports8 packages
- Suggests2 packages