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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.
| Version: | 1.0.1 |
| Depends: | tm, syn, RecordLinkage, data.table |
| Imports: | stringr |
| Published: | 2023-09-13 |
| Author: | Hossein Hassani [aut], Leila Marvian Mashhad [aut, cre] |
| Maintainer: | Leila Marvian Mashhad <Leila.marveian at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | PreProcessRecordLinkage results |
| Reference manual: | PreProcessRecordLinkage.pdf |
| Package source: | PreProcessRecordLinkage_1.0.1.tar.gz |
| Windows binaries: | r-devel: PreProcessRecordLinkage_1.0.1.zip, r-release: PreProcessRecordLinkage_1.0.1.zip, r-oldrel: PreProcessRecordLinkage_1.0.1.zip |
| macOS binaries: | r-release (arm64): PreProcessRecordLinkage_1.0.1.tgz, r-oldrel (arm64): PreProcessRecordLinkage_1.0.1.tgz, r-release (x86_64): PreProcessRecordLinkage_1.0.1.tgz, r-oldrel (x86_64): PreProcessRecordLinkage_1.0.1.tgz |
| Old sources: | PreProcessRecordLinkage archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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