Declarative Feature Extraction from Tabular Data Records
Overview
Extract features from tabular data in a declarative fashion, with a focus on processing medical records. Features are specified as JSON and are independently processed before being joined. Input data can be provided as CSV files or as data frames. This setup ensures that data is transformed in a modular and reproducible manner, and allows the same pipeline to be easily applied to new data.
- Initial CRAN submission.
From NEWS.md in the release
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Health
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- NOTE5 OK, 9 NOTE2026-03-10
Documentation
- Help pages
- 3 (1 internal)includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
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- Return-value docs
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- Help pages citing references
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Downloads
Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-03-25issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- 1.0.02024-05-13
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-05-13
- Total releases
- 1 / 2 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 246 KB
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