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


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Documentation for package ‘PELVIS’ version 2.0.4

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PELVIS-package Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
addMetavars Add the five Bruzek's main characters to a dataframe containing the eleven basic traits.
add_metavars Add the five Bruzek's main characters to a dataframe containing the eleven basic traits.
bruzek02 Internal function for sexing the human os coxae using Bruzek's method (2002)
CTscanDataBruzek Dataset including 198 virtually reconstructed ossa coxae
dataframe_sexing Internal function for sexing several human ossa coxae using both original and revised Bruzek's methods (2002, 2019)
indivSexing Internal function for sexing one single human os coxae using revised Bruzek's method (2019)
indiv_sexing Internal function for sexing one single human os coxae using revised Bruzek's method (2019)
PELVIS Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
refDataBruzek02 Learning dataset for logistic regression models
rightBonesDataBruzek Dataset including 518 right ossa coxae
sexingFromFile Internal function for sexing several human ossa coxae using both original and revised Bruzek's methods (2002, 2019)
StartPELVIS An R-Shiny application for the sex estimation of the human os coxae
start_pelvis An R-Shiny application for the sex estimation of the human os coxae