# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "FactoMineR" in publications use:' type: software license: GPL-2.0-or-later title: 'FactoMineR: Multivariate Exploratory Data Analysis and Data Mining' version: '2.15' doi: 10.18637/jss.v025.i01 identifiers: - type: doi value: 10.32614/CRAN.package.FactoMineR abstract: 'Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).' authors: - family-names: Husson given-names: Francois email: francois.husson@institut-agro.fr orcid: https://orcid.org/0000-0002-7271-8877 - family-names: Josse given-names: Julie - family-names: Le given-names: Sebastien - family-names: Mazet given-names: Jeremy preferred-citation: type: article title: 'FactoMineR: A Package for Multivariate Analysis' authors: - family-names: L\^e given-names: S\'ebastien - family-names: Josse given-names: Julie - family-names: Husson given-names: Fran\ccois email: josse@agrocampus-ouest.fr journal: Journal of Statistical Software year: '2008' volume: '25' issue: '1' doi: 10.18637/jss.v025.i01 start: '1' end: '18' repository: https://cran.r-universe.dev repository-code: https://github.com/husson/FactoMineR commit: 42d037d94334bf7f9baea9a9a40923f9e9af0c1e url: http://factominer.free.fr date-released: '2026-06-11' contact: - family-names: Husson given-names: Francois email: francois.husson@institut-agro.fr orcid: https://orcid.org/0000-0002-7271-8877