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

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

## Documentation for package ‘PELVIS’ version 2.0.4

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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