Package: FactoMineR
Version: 2.16
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 <francois.husson@institut-agro.fr>
Depends: R (>= 4.3)
Imports:
        car,cluster,DT,ellipse,emmeans,flashClust,ggplot2,ggrepel,ggtext,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 libjpeg-dev
        libpng-dev libuv1-dev libxml2-dev libssl-dev zlib1g-dev
Repository: https://husson.r-universe.dev
Date/Publication: 2026-07-02 09:12:03 UTC
RemoteUrl: https://github.com/husson/factominer
RemoteRef: HEAD
RemoteSha: f3ac3a796369b98a7f4914d7637aa444f53b643d
NeedsCompilation: yes
Packaged: 2026-07-02 09:53:56 UTC; root
Author: Francois Husson [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-7271-8877>),
  Julie Josse [aut],
  Sebastien Le [aut],
  Jeremy Mazet [aut]