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>.
| Version: | 1.0.0 |
| Imports: | isotree, dbscan, dplyr, ggplot2, pROC, PRROC, knitr, gt, scales, rmarkdown (≥ 2.0) |
| Suggests: | testthat, pkgdown, ggnewscale |
| Published: | 2026-01-15 |
| DOI: | 10.32614/CRAN.package.autoFlagR (may not be active yet) |
| Author: | Vikrant Dev Rathore [aut, cre] |
| Maintainer: | Vikrant Dev Rathore <rathore.vikrant at gmail.com> |
| BugReports: | https://github.com/vikrant31/autoFlagR/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/vikrant31/autoFlagR, https://vikrant31.github.io/autoFlagR/ |
| NeedsCompilation: | no |
| Citation: | autoFlagR citation info |
| Materials: | NEWS |
| CRAN checks: | autoFlagR results |
| Reference manual: | autoFlagR.html , autoFlagR.pdf |
| Vignettes: |
Benchmarking Anomaly Detection Performance (source, R code) Getting Started with autoFlagR (source, R code) Healthcare Data Quality Example (source, R code) |
| Package source: | autoFlagR_1.0.0.tar.gz |
| Windows binaries: | r-devel: autoFlagR_1.0.0.zip, r-release: not available, r-oldrel: autoFlagR_1.0.0.zip |
| macOS binaries: | r-release (arm64): autoFlagR_1.0.0.tgz, r-oldrel (arm64): autoFlagR_1.0.0.tgz, r-release (x86_64): autoFlagR_1.0.0.tgz, r-oldrel (x86_64): autoFlagR_1.0.0.tgz |
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