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# CITATION.cff 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 "PrismR" in publications use:'
type: software
license: MIT
title: 'PrismR: Pre-Modeling Statistical Audit Framework'
version: 1.0.0
doi: 10.32614/CRAN.package.PrismR
abstract: Introduces a statistical validation layer between data preprocessing and
  predictive modeling. Evaluates the statistical readiness of tabular datasets through
  data quality assessment, leakage detection, transformation analysis, and feature
  stability.
authors:
- family-names: Choudhary
  given-names: Arshit
  email: arshitchoudhary3010@gmail.com
- family-names: Sharma
  given-names: Vanshika
repository: https://arshit-dv.r-universe.dev
repository-code: https://github.com/Arshit-dv/PrismR
commit: 69ad9da6318de010978e6568072747b088a66246
url: https://arshit-dv.github.io/PrismR/
date-released: '2026-10-16'
contact:
- family-names: Choudhary
  given-names: Arshit
  email: arshitchoudhary3010@gmail.com