dexisensitivity-package {dexisensitivity} | R Documentation |
dexisensitivity: '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).
Author(s)
Maintainer: Nicolas Cavan nicolas.cavan@inrae.fr [contributor]
Authors:
Roland Allart roland.allart@inrae.fr
Jacques-Eric Bergez jacques-eric.bergez@inrae.fr (ORCID)
Marta Carpani
Hervé Monod (ORCID)
Other contributors:
Aude Alaphilippe (ORCID) [contributor]
INRAE ((National Research Institute for Agriculture, Food and Environment, France)) [copyright holder]