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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 "ValCurvaR" in publications use:'
type: software
license: MIT
title: 'ValCurvaR: Validation of Analytical Calibration Curves'
version: 0.1.0
doi: 10.32614/CRAN.package.ValCurvaR
abstract: Provides transparent tools for fitting and evaluating analytical calibration
  curves. Ordinary and weighted least squares fits are supported, together with lack-of-fit,
  heteroscedasticity and influence diagnostics, back-calculation, prediction uncertainty
  and publication-ready base graphics. The workflow is designed to support validation
  studies rather than rely on a single goodness-of-fit statistic. Methods follow Magnusson
  and Ornemark (2014) <https://www.eurachem.org/images/stories/Guides/pdf/MV_guide_2nd_ed_EN.pdf>
  and International Council for Harmonisation (2023) <https://database.ich.org/sites/default/files/ICH_Q2%28R2%29_Guideline_2023_1130_ErrorCorrection_2025.pdf>.
authors:
- family-names: Brandão
  given-names: Isaque Wilkson de Sousa
  email: isaquebrand@gmail.com
repository: https://isaquebrand.r-universe.dev
repository-code: https://github.com/isaquebrand/ValCurvaR
commit: 5ac313dc54bc98118231eec3122e93f3e50bfb3a
url: https://github.com/isaquebrand/ValCurvaR
date-released: '2026-09-11'
contact:
- family-names: Brandão
  given-names: Isaque Wilkson de Sousa
  email: isaquebrand@gmail.com