Package: Anthropometry
Type: Package
Title: Statistical Methods for Anthropometric Data
Version: 1.21
Date: 2025-12-04
Authors@R: c(person(given = "Guillermo",
                        family = "Vinue",
                        role = c("aut", "cre"),
                        email = "guillermo.vinue@uv.es"),
                 person(given = "Irene",
                        family = "Epifanio",
                        role = "aut"),
                 person(given = "Amelia",
                        family = "Simo",
                        role = "aut"),
                 person(given = c("M.", "Victoria"),
                        family = "Ibanez",
                        role = "aut"),
                 person(given = "Juan",
                        family = "Domingo",
                        role = "aut"),
                 person(given = "Guillermo",
                        family = "Ayala",
                        role = "aut"))
Maintainer: Guillermo Vinue <guillermo.vinue@uv.es>
Description: Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed 		at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the 		statistical concept of data depth, statistical shape analysis and archetypal analysis. Please see Vinue (2017) <doi:10.18637/jss.v077.i06>.
License: GPL (>= 2)
URL: https://www.R-project.org, https://www.uv.es/vivigui/
Depends: R (>= 3.5.0)
Imports: shapes, rgl, archetypes, nnls, ddalpha, FNN, ICGE, cluster
Suggests: knitr, calibrate, mvtnorm, RColorBrewer, plotrix, abind
VignetteBuilder: knitr
LazyData: yes
NeedsCompilation: yes
Packaged: 2025-12-04 15:28:51 UTC; guillermo
Repository: CRAN
Date/Publication: 2025-12-04 16:10:02 UTC
Author: Guillermo Vinue [aut, cre],
  Irene Epifanio [aut],
  Amelia Simo [aut],
  M. Victoria Ibanez [aut],
  Juan Domingo [aut],
  Guillermo Ayala [aut]
Built: R 4.5.2; x86_64-w64-mingw32; 2025-12-25 04:15:22 UTC; windows
Archs: x64
