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deident  

Persistent Data Anonymization Pipeline
View on CRAN: Click here


Download and install deident package within the R console
Install from CRAN:
install.packages("deident")

Install from Github:
library("remotes")
install_github("cran/deident")

Install by package version:
library("remotes")
install_version("deident", "1.0.0")



Attach the package and use:
library("deident")
Maintained by
Robert Cook
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-19
Latest Update: 2024-11-19
Description:
A framework for the replicable removal of personally identifiable data (PID) in data sets.The package implements a suite of methods to suit different data types based on the suggestions ofGarfinkel (2015) <doi:10.6028/NIST.IR.8053> and the ICO "Guidelines on Anonymization" (2012) <https://ico.org.uk/media/1061/anonymisation-code.pdf>.
How to cite:
Robert Cook (2024). deident: Persistent Data Anonymization Pipeline. R package version 1.0.0, https://cran.r-project.org/web/packages/deident. Accessed 25 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited deident R package
View deident citation profile
Other R packages that deident depends, imports, suggests or enhances
Complete documentation for deident
Functions, R codes and Examples using the deident R package
Full deident package functions and examples
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