Overview | The Problem: Spurious Precision | The MAIVE Solution | Installation | Data Structure | Basic Usage | Default MAIVE Estimation | Understanding the Output | Method Options | 1. FAT-PET (Precision-Effect Test) | 2. PEESE (Precision-Effect Estimate with Standard Error) | 3. PET-PEESE (Conditional Method) | 4. Endogenous Kink (EK) | Weighting Schemes | No Weights (Default) | Inverse-Variance Weights | MAIVE-Adjusted Weights | Study-Level Correlation | Standard Error Options | First-Stage Specification | Log (Default) | Levels (Paper Specification) | WAIVE: More Aggressive Correction | Interpretation Guidelines | Hausman Test | First-Stage F-test | Anderson-Rubin Confidence Interval | Publication Bias p-value | References | See Also

Introduction | What Are Options Files? | Key Benefits | File Format | Options File Structure | 1. general | 2. data | 3. calc | 4. methods | effect_summary_stats | linear_tests | nonlinear_tests | exogeneity_tests | bma (Bayesian Model Averaging) | p_hacking_tests | maive | 5. output | 6. cli | 7. verbose | 8. cache | 9. temp | Creating Options Files | Interactive Creation | Naming Your Options File | Programmatic Creation | Loading and Using Options Files | Loading Options | How Options Are Accessed | Important: Temporary Loading | Best Practices | One Dataset Per Options File | Organizing Multiple Options Files | Version Control | Validation | Examples | Minimal Options File | Advanced Options File | Inspecting Options | Browsing the Option Tree | Comparing Options Files | Managing Options Files | Listing Options Files | Copying Options Files | Modifying Options Files | Opening Options Files | Fixing Options Files | Troubleshooting | Common Issues | Summary

Introduction | How methods execute | Descriptive and exploratory methods | Publication-bias diagnostics | Moderator and heterogeneity analysis | Choosing methods

Introduction | Key Features | Installation | Basic Usage | Single Selection Menu | Multiple Selection Menu | Advanced Features | Pre-selection | Returning Indices Instead of Values | Select All / Deselect All | Labels, Values, and Descriptions | Keyboard Controls | Practical Examples | Configuration Wizard | Data Processing Pipeline | File Selection with Indices | Handling User Cancellation | Non-Interactive Environments | Integration with Packages | DESCRIPTION File | Using in Package Functions | Tips and Best Practices | API Reference | menu(choices, prompt, type, selected, return_index) | select(choices, prompt, selected, return_index, max_visible) | checkbox(choices, prompt, selected, return_index, max_visible, allow_select_all) | Troubleshooting | Arrow keys not working | Menu doesn't display properly | Returns NULL unexpectedly | Further Reading | Conclusion

Introduction | Quick Start: Your First Analysis | Understanding the Core Concepts | 1. The artma() Function | 2. Options Files | 3. Methods | Common Workflows | Workflow 1: Interactive Analysis (Recommended for Beginners) | Workflow 2: Using an Existing Options File | Workflow 3: Programmatic Analysis | Workflow 4: Using Data Already in R | Understanding Results | What a Run Leaves on Disk | Choosing Methods | Discovering Available Methods | Selecting Methods | Method Execution Order | Working with Options Files | Creating Options Files | Managing Options Files | Data Requirements | Required Columns | Column Mapping | Supported Data Formats | Data Preprocessing | Tips for Success | 1. Start Simple | 2. Use Descriptive Options File Names | 3. Save Your Options Files | 4. Check Verbosity | 5. Validate Before Running | Getting Help | Documentation | Verbosity Levels | Validation | Next Steps

Overview | Required inputs | Minimal synthetic example (quick to run) | Saving to file (PNG example) | Interpreting the plot | Tips and edge cases | See also

Introduction | Pull request-based workflow | Example contributor flow | Version tagging and release | Version increment labels | Skipping CRAN or submitting automatically | Summary