Anthropometry: Statistical Methods for Anthropometric Data

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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: Anthropometry citation info
Materials: NEWS
CRAN checks: Anthropometry results


Reference manual: Anthropometry.pdf
Vignettes: Developing statistical methodologies for Anthropometry


Package source: Anthropometry_1.19.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Anthropometry_1.19.tgz, r-oldrel (arm64): Anthropometry_1.19.tgz, r-release (x86_64): Anthropometry_1.19.tgz, r-oldrel (x86_64): Anthropometry_1.19.tgz
Old sources: Anthropometry archive

Reverse dependencies:

Reverse imports: adamethods, BAwiR


Please use the canonical form to link to this page.