To cite ggfacto in publications use:

Nocenti B (2026). ggfacto: Graphs for Correspondence Analysis. R package version 0.4.0, https://bricenocenti.github.io/ggfacto/.

ggfacto computes its analyses with FactoMineR, which should be cited too:

Lê S, Josse J, Husson F (2008). “FactoMineR: An R Package for Multivariate Analysis.” Journal of Statistical Software, 25(1), 1–18. doi:10.18637/jss.v025.i01.

Specific MCA and the reading of the axes (mca_interpret()) follow:

Le Roux B, Rouanet H (2004). Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis. Kluwer Academic Publishers, Dordrecht. doi:10.1007/1-4020-2236-0.

Le Roux B, Rouanet H (2010). Multiple Correspondence Analysis, number 163 series Quantitative Applications in the Social Sciences. SAGE. doi:10.4135/9781412993906.

The modified rates of variance (benzecri_mrv()):

Benzécri J (1979). “Sur le calcul des taux d'inertie dans l'analyse d'un questionnaire.” Les Cahiers de l'Analyse des Données, 4(3), 377–378.

The hierarchical clustering on principal components (hierarchical_clust()):

Husson F, Josse J, Pagès J (2010). “Principal component methods - hierarchical clustering - partitional clustering: why would we need to choose for visualizing data?” Agrocampus Ouest, Applied Mathematics Department. http://factominer.free.fr/more/HCPC_husson_josse.pdf.

Its specific and class-specific MCA, whose fits ggfacto reads:

Robette N (2025). GDAtools: Geometric Data Analysis in R. https://nicolas-robette.frama.io/GDAtools/.

Corresponding BibTeX entries:

  @Manual{,
    title = {{ggfacto}: Graphs for Correspondence Analysis},
    author = {Brice Nocenti},
    year = {2026},
    note = {R package version 0.4.0},
    url = {https://bricenocenti.github.io/ggfacto/},
  }

  @Article{,
    title = {{FactoMineR}: An {R} Package for Multivariate Analysis},
    author = {S\'ebastien L\^e and Julie Josse and Fran\c{c}ois
      Husson},
    journal = {Journal of Statistical Software},
    year = {2008},
    volume = {25},
    number = {1},
    pages = {1--18},
    doi = {10.18637/jss.v025.i01},
  }

  @Book{,
    title = {Geometric Data Analysis: From Correspondence Analysis to
      Structured Data Analysis},
    author = {Brigitte {Le Roux} and Henry Rouanet},
    publisher = {Kluwer Academic Publishers},
    address = {Dordrecht},
    year = {2004},
    doi = {10.1007/1-4020-2236-0},
  }

  @Book{,
    title = {Multiple Correspondence Analysis},
    author = {Brigitte {Le Roux} and Henry Rouanet},
    publisher = {SAGE},
    series = {Quantitative Applications in the Social Sciences},
    number = {163},
    year = {2010},
    doi = {10.4135/9781412993906},
  }

  @Article{,
    title = {Sur le calcul des taux d'inertie dans l'analyse d'un
      questionnaire},
    author = {Jean-Paul Benz\'ecri},
    journal = {Les Cahiers de l'Analyse des Donn\'ees},
    year = {1979},
    volume = {4},
    number = {3},
    pages = {377--378},
  }

  @TechReport{,
    title = {Principal component methods - hierarchical clustering -
      partitional clustering: why would we need to choose for
      visualizing data?},
    author = {Fran\c{c}ois Husson and Julie Josse and J\'er\^ome
      Pag\`es},
    institution = {Agrocampus Ouest, Applied Mathematics Department},
    year = {2010},
    url = {http://factominer.free.fr/more/HCPC_husson_josse.pdf},
  }

  @Manual{,
    title = {{GDAtools}: Geometric Data Analysis in {R}},
    author = {Nicolas Robette},
    year = {2025},
    url = {https://nicolas-robette.frama.io/GDAtools/},
  }