Package: MultBiplotR
Type: Package
Title: Multivariate Analysis Using Biplots in R
Version: 25.11.15
Date: 2025-11-25
Authors@R: c(person(given = c("Jose", "Luis"),
                      family = "Vicente Villardon",
                      role = "aut"),
               person(given = "Laura",
                      family = "Vicente-Gonzalez",
                      role = "aut"),
               person(given = "Elisa",
                      family = "Frutos-Bernal",
                      role = "aut"),
               person(given = c("Jose", "Luis"),
                      family = "Vicente Villardon",
                      role = "cre",
                      email = "villardon@usal.es"))
Maintainer: Jose Luis Vicente Villardon <villardon@usal.es>
Description: Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
Depends: R (>= 4.0.0)
Suggests:
Imports: MASS, scales, geometry, deldir, mirt, GPArotation, Hmisc, car,
        dunn.test, gplots, lattice, polycor, dae, xtable, mvtnorm,
        psych, ThreeWay, knitr, Matrix, vcd
LazyData: yes
Archs: i386, x64
NeedsCompilation: no
Packaged: 2025-11-25 11:36:41 UTC; villardon
Author: Jose Luis Vicente Villardon [aut],
  Laura Vicente-Gonzalez [aut],
  Elisa Frutos-Bernal [aut],
  Jose Luis Vicente Villardon [cre]
Date/Publication: 2025-11-25 12:02:03 UTC
Built: R 4.7.0; ; 2026-06-19 05:02:24 UTC; windows
