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


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Documentation for package ‘PELVIS’ version 1.1.0

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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)