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PELVIS  

Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
View on CRAN: Click here


Download and install PELVIS package within the R console
Install from CRAN:
install.packages("PELVIS")

Install from Github:
library("remotes")
install_github("cran/PELVIS")

Install by package version:
library("remotes")
install_version("PELVIS", "2.0.4")



Attach the package and use:
library("PELVIS")
Maintained by
Frédéric Santos
[Scholar Profile | Author Map]
First Published: 2018-08-05
Latest Update: 2023-08-08
Description:
An R-Shiny application implementing a method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits .
How to cite:
Frédéric Santos (2018). PELVIS: Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae. R package version 2.0.4, https://cran.r-project.org/web/packages/PELVIS. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.0.4 (2018-08-05 20:20), 1.0.5 (2018-12-18 11:10), 1.1.0 (2019-03-11 08:22), 1.2.1 (2019-05-13 15:10), 2.0.0 (2019-07-22 11:10), 2.0.1 (2020-06-10 10:20), 2.0.2 (2020-06-25 09:40), 2.0.3 (2021-05-07 18:10)
Other packages that cited PELVIS R package
View PELVIS citation profile
Other R packages that PELVIS depends, imports, suggests or enhances
Complete documentation for PELVIS
Functions, R codes and Examples using the PELVIS R package
Some associated functions: CTscanDataBruzek . PELVIS-package . add_metavars . bruzek02 . dataframe_sexing . indiv_sexing . refDataBruzek02 . rightBonesDataBruzek . start_pelvis . 
Some associated R codes: bruzek02.R . dataframe_sexing.R . indiv_sexing.R . server.R . small_utils.R . start_pelvis.R . tenFoldCV.glm.R . ui.R . valid_data.R .  Full PELVIS package functions and examples
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