Overview | 1. A small executable example | 2. Install the Python backend | 3. Run a test | 4. Retrieve a summary | 5. Imputer diagnostics | 6. Sensitivity calibration | 7. Simulated datasets | 8. Stopping the server

Ensure your system is correctly configured | Loading the data

Why rMIDAS2? | Installation | Side-by-side comparison | 1. Setup | 2. Data preparation | 3. Training | 4. Generating imputations | 5. Rubin's rules regression | 6. Overimputation diagnostic | 7. Mean imputation (new in rMIDAS2) | 8. Cleanup | Complete migration example | rMIDAS (old) | rMIDAS2 (new) | Quick-reference cheat sheet

Choice of server instance | Server setup | R specific setup

Option 1: Do nothing! | Option 2: | Option 3: | Troubleshooting errors | Older versions of macOS default to Python 2.7 | Shared library access

Overview | 1. A small executable example | 2. Install the Python backend | 3. Create data with missing values | 4. Fit and impute (all-in-one) | 5. Step-by-step workflow | 6. Mean imputation | 7. Rubin's rules regression | 8. Overimputation diagnostic | 9. Stopping the server