PELVIS-package: Probabilistic Sex Estimate using Logistic Regression, Based...

PELVIS-packageR Documentation

Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae

Description

An R-Shiny application implementing a method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits.

Details

Package: PELVIS
Type: Package
License: CeCILL-2.1

Author(s)

Frédéric Santos, <frederic.santos@u-bordeaux.fr>

References

Bruzek, J. (2002) A method for visual determination of sex, using the human hip bone. American Journal of Physical Anthropology 117, 157–168. doi: 10.1002/ajpa.10012

Santos, F., Guyomarc'h, P., Rmoutilova, R. and Bruzek, J. (2019) A method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits. American Journal of Physical Anthropology 169(3), 435-447. doi: 10.1002/ajpa.23855

Examples

if(interactive()){ StartPELVIS() }

PELVIS documentation built on Aug. 8, 2023, 5:09 p.m.