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andorR  

Optimisation of the Analysis of AND-OR Decision Trees
View on CRAN: Click here


Download and install andorR package within the R console
Install from CRAN:
install.packages("andorR")

Install from Github:
library("remotes")
install_github("cran/andorR")

Install by package version:
library("remotes")
install_version("andorR", "0.3.1")



Attach the package and use:
library("andorR")
Maintained by
Angus R Cameron
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-15
Latest Update: 2025-10-15
Description:
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.
How to cite:
Angus R Cameron (2025). andorR: Optimisation of the Analysis of AND-OR Decision Trees. R package version 0.3.1, https://cran.r-project.org/web/packages/andorR. Accessed 11 Mar. 2026.
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