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

Documentation for package ‘PELVIS’ version 1.1.0

PELVIS-package	Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
addMetavars	Internal function
bruzek02	Internal function for sexing the human os coxae using Bruzek's method (2002)
indivSexing	Internal function for sexing one single human os coxae using revised Bruzek's method (2018)
metavar	Internal function used to get the five main characters described by Bruzek (2002) from the eleven visual traits observed on the human os coaxe.
PELVIS	Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
refData	Learning dataset for logistic regression models
sexingFromFile	Internal function for sexing several single human ossa coxarum using both original and revised Bruzek's methods (2002, 2018)
StartPELVIS	An R-Shiny application for the sex estimation of the human os coxae
tenFoldCV.glm	Internal function for evaluating the performance of logistic regression models used in Bruzek's revised method (2018)