Package: autoFlagR
Type: Package
Title: AI-Driven Anomaly Detection for Data Quality
Version: 1.0.0
Authors@R: person("Vikrant Dev", "Rathore", email = "rathore.vikrant@gmail.com", role = c("aut", "cre"))
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>.
License: MIT + file LICENSE
URL: https://github.com/vikrant31/autoFlagR,
        https://vikrant31.github.io/autoFlagR/
BugReports: https://github.com/vikrant31/autoFlagR/issues
Encoding: UTF-8
Imports: isotree, dbscan, dplyr, ggplot2, pROC, PRROC, knitr, gt,
        scales, rmarkdown (>= 2.0)
Suggests: testthat, pkgdown, ggnewscale
VignetteBuilder: knitr
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-01-10 07:44:26 UTC; vikrant31
Author: Vikrant Dev Rathore [aut, cre]
Maintainer: Vikrant Dev Rathore <rathore.vikrant@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-15 17:40:31 UTC
Built: R 4.6.0; ; 2026-04-28 23:26:33 UTC; unix
