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PreProcessRecordLinkage
View on CRAN: Click
here
Download and install PreProcessRecordLinkage package within the R console
Install from CRAN:
install.packages("PreProcessRecordLinkage")
Install from Github:
library("remotes")
install_github("cran/PreProcessRecordLinkage") Install by package version:
library("remotes")
install_version("PreProcessRecordLinkage", "1.0.1") Attach the package and use:
library("PreProcessRecordLinkage")
Maintained by
Leila Marvian Mashhad
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-24
Latest Update: 2023-09-13
Description:
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.
How to cite:
Leila Marvian Mashhad (2023). PreProcessRecordLinkage: Preprocessing Record Linkage. R package version 1.0.1, https://cran.r-project.org/web/packages/PreProcessRecordLinkage. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 1.0 (2023-08-24 13:00)
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Complete documentation for PreProcessRecordLinkage
Functions, R codes and Examples using
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functions and examples
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