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

An R-Shiny application implementing a method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits <doi:10.1002/ajpa.23855>.

Version: 1.2.1
Depends: R (≥ 3.4.0)
Imports: DT, MASS, shiny
Published: 2019-05-13
Author: Frédéric Santos ORCID iD [aut, cre], Élodie Bernardeau [ctb]
Maintainer: Frédéric Santos <frederic.santos at u-bordeaux.fr>
BugReports: https://gitlab.com/f.santos/pelvis/issues/new
License: CeCILL-2 | file LICENSE
URL: https://gitlab.com/f.santos/pelvis/
NeedsCompilation: no
Citation: PELVIS citation info
Materials: README NEWS
CRAN checks: PELVIS results

Downloads:

Reference manual: PELVIS.pdf
Package source: PELVIS_1.2.1.tar.gz
Windows binaries: r-devel: PELVIS_1.2.1.zip, r-release: PELVIS_1.2.1.zip, r-oldrel: PELVIS_1.2.1.zip
OS X binaries: r-release: PELVIS_1.2.1.tgz, r-oldrel: PELVIS_1.2.1.tgz
Old sources: PELVIS archive

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