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
Config/pak/sysreqs: cmake make libuv1-dev libxml2-dev libssl-dev
        libnode-dev
Repository: https://vikrant31.r-universe.dev
Date/Publication: 2026-01-10 07:42:43 UTC
RemoteUrl: https://github.com/vikrant31/autoflagr
RemoteRef: HEAD
RemoteSha: 5d9f2108730616babbf9bcd53d377432102b0b71
NeedsCompilation: no
Packaged: 2026-10-13 09:23:20 UTC; root
Author: Vikrant Dev Rathore [aut, cre]
Maintainer: Vikrant Dev Rathore <rathore.vikrant@gmail.com>