'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 available in Alaphilippe et al. (2025) doi:10.1016/j.simpa.2024.100729.
- Fix error in a test because of the random seed
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-14
- ERROR12 OK, 1 ERROR2026-08-31
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-30
Show 1 earlier changeHide 1 earlier change
- ERROR13 OK, 1 ERROR2026-03-10
Documentation
- Help pages
- 33 (1 internal)includes a package overview page
- Examples that run
- 100%22 run in a plain check
- Exported functions with examples
- 96%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2024-10-25
- Total releases
- 5 / 2 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 15 KB / 2 files
- Download size
- 201 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("dexisensitivity")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.