| 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 |