# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "dexisensitivity" in publications use:' type: software license: GPL-2.0-or-later title: 'dexisensitivity: ''DEXi'' Decision Tree Analysis and Visualization' version: 1.0.0 doi: 10.32614/CRAN.package.dexisensitivity abstract: 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) and detailed description of the package soon available in Alaphilippe, Allart, Carpani, Cavan, Monod and Bergez (submitted to Software Impacts). authors: - family-names: Allart given-names: Roland email: roland.allart@inrae.fr - family-names: Bergez given-names: Jacques-Eric email: jacques-eric.bergez@inrae.fr orcid: https://orcid.org/0000-0003-3467-2617 - family-names: Carpani given-names: Marta - family-names: Monod given-names: Hervé orcid: https://orcid.org/0000-0001-8225-495X - family-names: Cavan given-names: Nicolas email: nicolas.cavan@inrae.fr repository: https://CRAN.R-project.org/package=dexisensitivity date-released: '2024-10-25' contact: - family-names: Cavan given-names: Nicolas email: nicolas.cavan@inrae.fr