Package: Anthropometry
Type: Package
Title: Statistical Methods for Anthropometric Data
Version: 1.22
Date: 2026-08-21
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: 2026-09-20 09:59:39 UTC; root
Author: Guillermo Vinue [aut, cre], Irene Epifanio [aut], Amelia Simo
        [aut], M. Victoria Ibanez [aut], Juan Domingo [aut], Guillermo
        Ayala [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2026-08-21 21:51:03 UTC
RemoteUrl: https://github.com/cran/Anthropometry
RemoteRef: HEAD
RemoteSha: 887b42c75858234562cf51f255a048489d12b5e8
