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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 "CompMix" in publications use:'
type: software
license: GPL-3.0-only
title: 'CompMix: A Comprehensive Toolkit for Environmental Mixtures Analysis'
version: 1.1.0
doi: 10.1289/EHP15305
abstract: Quantitative characterization of the health impacts associated with exposure
  to chemical mixtures has received considerable attention in current environmental
  and epidemiological studies. 'CompMix' package allows practitioners to estimate
  the health impacts from exposure to chemical mixtures data through various statistical
  approaches, including Lasso, Elastic net, Bayesian kernel machine regression (BKMR),
  hierNet, Quantile g-computation, Weighted quantile sum (WQS) and Random forest.
  Methods and recommendations are described in Hao et al. (2025) <https://doi.org/10.1289/EHP15305>.
authors:
- family-names: Hao
  given-names: Wei
  email: weihao@umich.edu
preferred-citation:
  type: article
  title: 'Statistical Methods for Chemical Mixtures: A Roadmap for Practitioners Using
    Simulation Studies and a Sample Data Analysis in the PROTECT Cohort'
  authors:
  - family-names: Hao
    given-names: Wei
    email: weihao@umich.edu
  - family-names: Cathey
    given-names: Amber L.
  - family-names: Aung
    given-names: Max M.
  - family-names: Boss
    given-names: Jonathan
  - family-names: Meeker
    given-names: John D.
  - family-names: Mukherjee
    given-names: Bhramar
  journal: Environmental Health Perspectives
  year: '2025'
  volume: '133'
  issue: '6'
  doi: 10.1289/EHP15305
  start: 067019
repository: https://cran.r-universe.dev
commit: ced1cbab489e57b2b3eb8705a76ecf86d91b7cd3
date-released: '2026-07-13'
contact:
- family-names: Hao
  given-names: Wei
  email: weihao@umich.edu