Anthropometry: Statistical Methods for Anthropometric Data

Anthropometry brings together some 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.

Version: 1.1
Depends: R (≥ 3.0.0)
Imports: shapes, rgl, archetypes, nnls, depth, FNN, ICGE, cluster, biclust
Suggests: knitr, calibrate, mvtnorm, SportsAnalytics, RColorBrewer, plotrix, abind
Published: 2014-10-13
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: http://www.r-project.org, http://www.uv.es/vivigui
NeedsCompilation: yes
Citation: Anthropometry citation info
Materials: NEWS
CRAN checks: Anthropometry results

Downloads:

Reference manual: Anthropometry.pdf
Vignettes: Developing statistical methodologies for Anthropometry
Package source: Anthropometry_1.1.tar.gz
Windows binaries: r-devel: Anthropometry_1.1.zip, r-release: Anthropometry_1.1.zip, r-oldrel: Anthropometry_1.1.zip
OS X Snow Leopard binaries: r-release: Anthropometry_1.1.tgz, r-oldrel: Anthropometry_1.1.tgz
OS X Mavericks binaries: r-release: Anthropometry_1.1.tgz
Old sources: Anthropometry archive