DESCRIPTION

Package: biplotEZ
Title: EZ-to-Use Biplots
Version: 2.3
Authors@R: 
    c(person("Sugnet", "Lubbe", , "muvisu@sun.ac.za", role = c("aut", "cre","cph"),
           comment = c(ORCID = "0000-0003-2762-9944")),
      person("Niël", "le Roux", , role = "aut",
       comment = c(ORCID = "0000-0002-1791-746X")),
      person("Johané", "Nienkemper-Swanepoel", , role = "aut",
       comment = c(ORCID = "0000-0001-6086-8272")),
      person("Raeesa", "Ganey", , role = "aut",
        comment = c(ORCID = "0009-0008-6973-0999")),
      person("Ruan", "Buys", , role = "aut",
       comment = c(ORCID = "0000-0001-8527-8631")),
      person("Zoë-Mae", "Adams", , role="aut",
        comment = c(ORCID = "0000-0003-3730-4887")),
      person("Peter", "Manefeldt", , role="aut",
      comment = c(ORCID = "0000-0002-8604-843X")))
Description: Provides users with an EZ-to-use platform for representing data
             with biplots. Currently principal component analysis (PCA), canonical variate
             analysis (CVA) and simple correspondence analysis (CA) biplots are included. 
             This is accompanied by various formatting
             options for the samples and axes. Alpha-bags and concentration ellipses
             are included for visual enhancements and interpretation. For an extensive
             discussion on the topic, see Gower, J.C., Lubbe, S. and le Roux, N.J.
             (2011, ISBN: 978-0-470-01255-0) Understanding Biplots. Wiley: Chichester.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Config/testthat/edition: 3
Suggests: 
    caret,
    cluster,
    geometry,
    ggplot2,
    ggrepel,
    grid,
    knitr,
    MASS,
    R.devices,
    RColorBrewer,
    rgl,
    rmarkdown
Imports: 
    graphics,
    grDevices,
    plotrix,
    Rcpp,
    splines,
    stats,
    withr
NeedsCompilation: yes
LinkingTo: 
    Rcpp