# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "autoFlagR" in publications use:'
type: software
license: MIT
title: 'autoFlagR: AI-Driven Anomaly Detection for Data Quality'
version: 1.0.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.autoFlagR
abstract: '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) <https://doi.org/10.1109/ICDM.2008.17>,
  Breunig et al. (2000) <https://doi.org/10.1145/342009.335388>.'
authors:
- family-names: Rathore
  given-names: Vikrant Dev
  email: rathore.vikrant@gmail.com
preferred-citation:
  type: manual
  title: 'autoFlagR: AI-Driven Anomaly Detection for Data Quality'
  authors:
  - family-names: Rathore
    given-names: Vikrant Dev
    email: rathore.vikrant@gmail.com
  year: '2025'
  notes: R package version 1.0.0
  url: https://CRAN.R-project.org/package=autoFlagR
repository: https://vikrant31.r-universe.dev
repository-code: https://github.com/vikrant31/autoFlagR
commit: 5d9f2108730616babbf9bcd53d377432102b0b71
url: https://vikrant31.github.io/autoFlagR/
date-released: '2026-01-10'
contact:
- family-names: Rathore
  given-names: Vikrant Dev
  email: rathore.vikrant@gmail.com