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dexisensitivity

1.0.2

'DEXi' Decision Tree Analysis and Visualization

0packages depend
6.4Kdownloads / year
70.7%test coverage
13/13checks pass

Overview

About
Maintained by Nicolas CavanFirst published 2024-10-253 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.37
70.7%
Coverage · measured lines
100%
Documentation · exports
11
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-30
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-10
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 80 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

6.4K
CRAN downloads in the past year
Rank #8,231 · ~17/day · ~530/mo
Daily download trend is not available in this view yet.
23230 days
1.1K90 days
6.4K1 year
Compare downloads with other packages →
Also on120 r2u36 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (11)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (7)
Maintainer (1)
Contributor, Maintainer
Authors (4)
Contributors (2)
Contributor, Maintainer
Contributor
Copyright holders (1)
Copyright holder
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    2025-09-08 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.1
    2024-10-30 · diff ↗
  • 1.0.0
    2024-10-25
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dexisensitivity")
Cavan, N., INRAE, Alaphilippe, A., Allart, R., Bergez, J., Carpani, M., & Monod, H. (2025). dexisensitivity: 'DEXi' Decision Tree Analysis and Visualization (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.dexisensitivity

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for dexisensitivity version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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