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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 "enviGCMS" in publications use:'
type: software
license: GPL-2.0-only
title: 'enviGCMS: GC/LC-MS Data Analysis for Environmental Science'
version: 0.9.1
doi: 10.1016/j.talanta.2016.11.046
identifiers:
- type: doi
  value: 10.32614/CRAN.package.enviGCMS
abstract: Gas/Liquid Chromatography-Mass Spectrometer(GC/LC-MS) Data Analysis for
  Environmental Science. This package covered topics such molecular isotope ratio,
  matrix effects and Short-Chain Chlorinated Paraffins analysis etc. in environmental
  analysis.
authors:
- family-names: YU
  given-names: Miao
  email: yufreecas@gmail.com
  orcid: https://orcid.org/0000-0002-2804-6014
preferred-citation:
  type: article
  title: Evaluation and reduction of the analytical uncertainties in GC-MS analysis
    using a boundary regression model
  authors:
  - family-names: Jiang
    given-names: Miao Yu,Xingwang Hou,Qian Liu,Yawei Wang,Jiyan Liu,Guibin
  journal: Talanta
  year: '2017'
  volume: '164'
  doi: 10.1016/j.talanta.2016.11.046
  start: 141-147
repository: https://cran.r-universe.dev
repository-code: https://github.com/yufree/enviGCMS
commit: 05bfd38bd644d4bbd94428e611589d2f8893904e
url: https://yufree.github.io/enviGCMS/
date-released: '2026-10-10'
contact:
- family-names: YU
  given-names: Miao
  email: yufreecas@gmail.com
  orcid: https://orcid.org/0000-0002-2804-6014