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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "andorR" in publications use:'
type: software
license: MIT
title: 'andorR: Optimisation of the Analysis of AND-OR Decision Trees'
version: 0.3.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.andorR
abstract: A decision support tool to strategically prioritise evidence gathering in
  complex, hierarchical AND-OR decision trees. It is designed for situations with
  incomplete or uncertain information where the goal is to reach a confident conclusion
  as efficiently as possible (responding to the minimum number of questions, and only
  spending resources on generating improved evidence when it is of significant value
  to the final decision). The framework excels in complex analyses with multiple potential
  successful pathways to a conclusion ('OR' nodes). Key features include a dynamic
  influence index to guide users to the most impactful question, a system for propagating
  answers and semi-quantitative confidence scores (0-5) up the tree, and post-conclusion
  guidance to identify the best actions to increase the final confidence. These components
  are brought together in an interactive command-line workflow that guides the analysis
  from start to finish.
authors:
- family-names: Cameron
  given-names: Angus R
  email: angus.cameron@epimundi.com
  orcid: https://orcid.org/0000-0001-8801-0366
preferred-citation:
  type: manual
  title: 'andorR: An Analysis and Optimisation Tool for AND-OR Decision Trees'
  authors:
  - family-names: Cameron
    given-names: Angus R
    email: angus.cameron@epimundi.com
    orcid: https://orcid.org/0000-0001-8801-0366
  year: '2025'
  institution:
    name: EpiMundi
  url: https://github.com/epimundi/andorR
  notes: R package version 0.3.0
repository: https://epimundi.r-universe.dev
commit: a175d07ca77ab1590bce9791aa7804d2457fb17c
url: https://epimundi.github.io/andorR/
date-released: '2025-10-01'
contact:
- family-names: Cameron
  given-names: Angus R
  email: angus.cameron@epimundi.com
  orcid: https://orcid.org/0000-0001-8801-0366