Preprocessing Record Linkage
Overview
In this record linkage package, data preprocessing has been meticulously executed to cover a wide range of datasets, ensuring that variable names are standardized using synonyms. This approach facilitates seamless data integration and analysis across various datasets. While users have the flexibility to modify variable names, the system intelligently ensures that changes are only permitted when they do not compromise data consistency or essential variable essence.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing PreProcessRecordLinkage adds 57 packages (28 with compiled code, 64 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.1Latest
- 1.02023-08-24
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-08-24
- Total releases
- 2 / 3 yrs
- License
- GPL-3 OSI
- Download size
- 5.6 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("PreProcessRecordLinkage")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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