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>.
Version: 1.19 Depends: R (≥ 3.3.0) Imports: shapes, rgl, archetypes, nnls, ddalpha, FNN, ICGE, cluster, biclust Suggests: knitr, calibrate, mvtnorm, RColorBrewer, plotrix, abind Published: 2023-02-22 DOI: 10.32614/CRAN.package.Anthropometry Author: Guillermo Vinue, Irene Epifanio, Amelia Simo, M. Victoria Ibanez, Juan Domingo, Guillermo Ayala Maintainer: Guillermo Vinue <Guillermo.Vinue at uv.es> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://www.R-project.org, https://www.uv.es/vivigui/ NeedsCompilation: yes Citation: Anthropometry citation info Materials: NEWS CRAN checks: Anthropometry results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=Anthropometry to link to this page.
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