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PreProcessRecordLinkage  

Preprocessing Record Linkage
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]
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 27 Feb. 2025.
Previous versions and publish date:
1.0 (2023-08-24 13:00)
Other packages that cited PreProcessRecordLinkage R package
View PreProcessRecordLinkage citation profile
Other R packages that PreProcessRecordLinkage depends, imports, suggests or enhances
Complete documentation for PreProcessRecordLinkage
Functions, R codes and Examples using the PreProcessRecordLinkage R package
Full PreProcessRecordLinkage package functions and examples
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