Package: FactoMineR Version: 2.18 Title: Multivariate Exploratory Data Analysis and Data Mining Authors@R: c(person(given = "Francois", family = "Husson", role = c("aut", "cre"), email = "francois.husson@institut-agro.fr", comment = c(ORCID = "0000-0002-7271-8877")), person(given = "Julie", family = "Josse", role = c("aut")), person(given = "Sebastien", family = "Le", role = c("aut")), person(given = "Jeremy", family = "Mazet", role = c("aut")) ) Maintainer: Francois Husson Depends: R (>= 4.3) Imports: car,cluster,DT,ellipse,emmeans,flashClust,ggplot2,ggrepel,graphics,grDevices,irlba,lattice,leaps,MASS,multcompView,scales,scatterplot3d,showtext,stats,sysfonts,utils Suggests: missMDA,knitr,Factoshiny,markdown Description: 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). License: GPL (>= 2) URL: http://factominer.free.fr BugReports: https://github.com/husson/FactoMineR/issues Encoding: UTF-8 VignetteBuilder: knitr Config/pak/sysreqs: cmake libfreetype6-dev make libicu-dev libpng-dev libuv1-dev zlib1g-dev Repository: https://husson.r-universe.dev Date/Publication: 2026-09-30 09:47:49 UTC RemoteUrl: https://github.com/husson/factominer RemoteRef: HEAD RemoteSha: 577d4255f6284920bb5c5b6216ac6183daef34f4 NeedsCompilation: yes Packaged: 2026-09-30 14:33:03 UTC; root Author: Francois Husson [aut, cre] (ORCID: ), Julie Josse [aut], Sebastien Le [aut], Jeremy Mazet [aut]