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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "leakr" in publications use:'
type: software
license: MIT
title: 'leakr: Data Leakage Detection Tools for Machine Learning'
version: 0.1.0
doi: 10.32614/CRAN.package.leakr
abstract: Provides utilities to detect common data leakage patterns including train/test
  contamination, temporal leakage, and data duplication, enhancing model reliability
  and reproducibility in machine learning workflows. Generates diagnostic reports
  and visual summaries to support data validation. Methods based on best practices
  from Hastie, Tibshirani, and Friedman (2009, ISBN:978-0387848570).
authors:
- family-names: Lim
  given-names: Cheryl Isabella
  email: cheryl.academic@gmail.com
repository: https://cherylisabella.r-universe.dev
commit: 51d111855cb9161856cfe0aa09a282ff43147774
date-released: '2025-12-07'
contact:
- family-names: Lim
  given-names: Cheryl Isabella
  email: cheryl.academic@gmail.com