Overview | Installation | Example data | Required input columns | What counts as missing? | Explicit missing glucose values | Timestamp gaps | Basic real-imputation workflow | How the method is selected | Thread control | Time handling and timestamp regularization | Internal engineered features | Continuous imputed values | Optional Python-compatible backend | Installing optional Python dependencies | Choosing a backend | Exporting results | Troubleshooting | Timestamp parsing errors | Unexpected row counts | Python module errors | Warnings from mice | Session information

Overview | Installation | Launching the app | Input options | Upload a CSV file | Load built-in example data | Selecting columns | Target glucose column | Subject ID column | Timestamp column | Feature columns | Missingness summary card | Timestamp-gap handling | Backend selection | MICE backend | Method selection | Optional sklearn backend | Running imputation | Previewing results | Downloading results | Troubleshooting | The app does not launch | No column choices appear | Imputation fails because a timestamp cannot be parsed | Downloaded data have more rows than the uploaded file | Python backend fails because a Python module is missing | Downloaded data contain NA in the original glucose column | Developer notes

Overview | Installation | Example data | Required input columns | What counts as missing? | Explicit missing glucose values | Timestamp gaps | Basic real-imputation workflow | How the method is selected | Thread control | Time handling and timestamp regularization | Internal engineered features | Continuous imputed values | Optional Python-compatible backend | Installing optional Python dependencies | Choosing a backend | Exporting results | Troubleshooting | Timestamp parsing errors | Unexpected row counts | Python module errors | Warnings from mice | Session information

Overview | Installation | Launching the app | Input options | Upload a CSV file | Load built-in example data | Selecting columns | Target glucose column | Subject ID column | Timestamp column | Feature columns | Missingness summary card | Timestamp-gap handling | Backend selection | MICE backend | Method selection | Optional sklearn backend | Running imputation | Previewing results | Downloading results | Troubleshooting | The app does not launch | No column choices appear | Imputation fails because a timestamp cannot be parsed | Downloaded data have more rows than the uploaded file | Python backend fails because a Python module is missing | Downloaded data contain NA in the original glucose column | Developer notes