A software package for using 'DEXi' models. 'DEXi' models are
  hierarchical qualitative multi-criteria decision models developed according to the method
  DEX (Decision EXpert, <https://dex.ijs.si/documentation/DEX_Method/DEX_Method.html>),
  using the program 'DEXi' (<https://kt.ijs.si/MarkoBohanec/dexi.html>) or
  'DEXiWin' (<https://dex.ijs.si/dexisuite/dexiwin.html>).
  A typical workflow with 'DEXiR' consists of:
  (1) reading a '.dxi' file, previously made using the 'DEXi' software (function read_dexi()),
  (2) making a data frame containing input values of one or more decision alternatives,
  (3) evaluating those alternatives (function evaluate()),
  (4) analyzing alternatives (selective_explanation(), plus_minus(), compare_alternatives()),
  (5) drawing charts.
  'DEXiR' is restricted to using models produced externally by the 'DEXi' software and does not
  provide functionality for creating and/or editing 'DEXi' models directly in 'R'.

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>.