Man pages for rMIDAS2
Multiple Imputation with 'MIDAS2' Denoising Autoencoders
| base_req | Build a base request pointing at the running server |
| check_backend_version | Check whether the installed backend is up-to-date with PyPI |
| clear_venv_path | Remove the saved virtualenv path |
| combine | Combine results using Rubin's rules |
| config_dir | Path to the package config directory |
| ensure_server | Ensure the server is running |
| extract_model_id | Extract model ID from a string or fitted model object |
| find_free_port | Find a free TCP port |
| get_json | GET and return parsed body |
| imp_mean | Compute mean imputation |
| install_backend | Install the MIDAS2 Python backend |
| load_venv_path | Load the saved virtualenv path (or NULL) |
| midas | Multiple imputation (all-in-one) |
| midas_fit | Fit a MIDAS model |
| midas_transform | Generate multiple imputations |
| overimpute | Overimputation diagnostic |
| parse_table | Parse a JSON table response into a data.frame |
| post_json | POST JSON and return parsed body |
| rMIDAS2-package | rMIDAS2: Multiple Imputation with 'MIDAS2' Denoising... |
| save_venv_path | Save the virtualenv path to persistent config |
| start_server | Start the MIDAS2 API server |
| stop_server | Stop the MIDAS2 API server |
| to_nested_list | Convert an R matrix / data.frame to a nested list suitable... |
| uninstall_backend | Uninstall the MIDAS2 Python backend |
| update_backend | Update the MIDAS2 Python backend |
