dexisensitivity
1.0.2'DEXi' Decision Tree Analysis and Visualization
Overview
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 et al. (2025) doi:10.1016/j.simpa.2024.100729.
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- OK2026-03-3014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-1013 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
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Code & Tests
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3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.2Latest
- RR 4.5.0 released · 2025-04-11
- 1.0.12024-10-30 · diff ↗
- 1.0.02024-10-25
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-10-25
- Total releases
- 3 / 2 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 15 KB / 2 files
- Download size
- 199 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet