Overview | Key Features | Methodology | Installation | Basic Usage: One Input, One Output | Standard DEA | Quantile DEA | Multiple Inputs: Two Inputs, One Output | Multiple Outputs: One Input, Two Outputs | Hospital Example: Two Inputs, Two Outputs | Model Orientations | Input Orientation | Output Orientation | Graph (Input-Output) Orientation | Returns to Scale | Bootstrap Bias Correction | Peer Identification | Projected Values | Iterative qDEA | Practical Tips | Choosing the Outlier Proportion (qout) | Choosing Orientation | Choosing Returns to Scale | Bootstrap Guidelines | Understanding the Output | Advanced Example: Complete Analysis | Visualization | Common Issues and Solutions | Issue: All efficiency scores equal 1 | Issue: Some efficiency scores are very low | Issue: Bootstrap takes too long | References | Getting Help | Session Information

Introduction | Case Study 1: Hospital Efficiency Analysis | The Problem | Analysis | Step 1: Standard DEA Analysis | Step 2: Robust qDEA Analysis | Step 3: Target Setting | Step 4: Peer Benchmarks | Management Report | Case Study 2: Retail Store Performance | Sensitivity Analysis: How Many Outliers? | Recommended Approach | Case Study 3: Dealing with Outliers | Identifying Outliers | Impact of Outlier Removal | Workflow: Complete Analysis Template | Best Practices Summary | 1. Data Preparation | 2. Model Selection | 3. Interpretation | 4. Reporting | 5. Common Mistakes to Avoid | Exporting Results | To CSV | To Excel (requires openxlsx package) | Visualization Examples | Efficiency Distribution | Efficiency Comparison | Conclusion | Further Reading