dexisensitivity-package: dexisensitivity: 'DEXi' Decision Tree Analysis and...

In dexisensitivity: 'DEXi' Decision Tree Analysis and Visualization

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) \Sexpr[results=rd]{tools:::Rd_expr_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 [e-mail] [contributor]

Authors:

• Roland Allart [e-mail]

• Jacques-Eric Bergez [e-mail] (ORCID)

• Marta Carpani

• Hervé Monod (ORCID)

Other contributors:

• Aude Alaphilippe (ORCID) [contributor]

• INRAE ((National Research Institute for Agriculture, Food and Environment, France)) [copyright holder]

dexisensitivity documentation built on Oct. 30, 2024, 1:08 a.m.