Included Files | File documentation | Ethical investment decision tree (ethical) | Introduction | Formats | Source | World Organisation for Animal Health notifiable disease list criteria (woah) | Format | Bovine Spongiform Encephalopathy surveillance decision tree (bse) | Sources | Multiple sclerosis diagnostic decision tree (ms) | Systemic Lupus Erythematous diagnostic decision tree (lupus) | UNESCO World Heritage nomination decision tree (unesco) | Example: Loading a File | CSV relational format | CSV node path format | YAML format

Introduction: From Conclusion to Conviction | The Algorithm: A Sensitivity Analysis | A Worked Example: Strengthening a Conclusion | Step 1: Reach an Initial Conclusion | Step 2: View the Initial Conclusion | Step 3: Get Guidance on Boosting Confidence | Step 4: Act on the Guidance | Step 5: View the Improved Result

1. The Hierarchical Format (YAML or JSON) | YAML format | JSON format | 2. The Relational (ID/Parent) Format | 3. The Path String Format | Summary of Formats

What are AND-OR Trees? | Core Features of andorR | A Worked Example | Step 1: Load the Tree | Step 2: Get Initial Guidance | Step 3: Provide Initial Answers | Step 4: Follow the Guidance and Reach a Conclusion | Interactive Analysis with andorR_interactive() | Included Datasets

The Need for Optimisation | The Influence Index Algorithm | 1. Parent Node Indices: true_index and false_index | 2. Leaf Node influence_index | 3. Prioritisation strategies in practice | A Worked Example | Step 1: Load and Prepare the Tree | Step 2: Calculate the Indices | Step 3: Display and Interpret the Results | Step 4: Observing Dynamic Re-Prioritization | Analysis of the Change | Next Steps: Boosting Confidence