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autoFlagR  

AI-Driven Anomaly Detection for Data Quality
View on CRAN: Click here


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

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

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



Attach the package and use:
library("autoFlagR")
Maintained by
Vikrant Dev Rathore
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-15
Latest Update: 2026-01-15
Description:
Automated data quality auditing using unsupervised machine learning. Provides AI-driven anomaly detection for data quality assessment, primarily designed for Electronic Health Records (EHR) data, with benchmarking capabilities for validation and publication. Methods based on: Liu et al. (2008) <doi:10.1109/ICDM.2008.17>, Breunig et al. (2000) <doi:10.1145/342009.335388>.
How to cite:
Vikrant Dev Rathore (2026). autoFlagR: AI-Driven Anomaly Detection for Data Quality. R package version 1.0.0, https://cran.r-project.org/web/packages/autoFlagR. Accessed 05 Jun. 2026.
Previous versions and publish date:
No previous versions
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View autoFlagR citation profile
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Complete documentation for autoFlagR
Functions, R codes and Examples using the autoFlagR R package
Full autoFlagR package functions and examples
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