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dexisensitivity
View on CRAN: Click
here
Download and install dexisensitivity package within the R console
Install from CRAN:
install.packages("dexisensitivity")
Install from Github:
library("remotes")
install_github("cran/dexisensitivity")
Install by package version:
library("remotes")
install_version("dexisensitivity", "1.0.1")
Attach the package and use:
library("dexisensitivity")
Maintained by
Nicolas Cavan
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[Scholar Profile | Author Map]
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First Published: 2024-10-25
Latest Update: 2024-11-09
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).
How to cite:
Nicolas Cavan (2024). dexisensitivity: 'DEXi' Decision Tree Analysis and Visualization. R package version 1.0.1, https://cran.r-project.org/web/packages/dexisensitivity. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-10-25 10:30)
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