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: 2.0.2
Depends: R (≥ 4.0.0)
Imports: DT, MASS, shiny
Suggests: covr, testthat
Published: 2020-06-25
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_2.0.2.tar.gz
Windows binaries: r-devel: PELVIS_2.0.2.zip, r-release: PELVIS_2.0.2.zip, r-oldrel: PELVIS_2.0.0.zip
macOS binaries: r-release: PELVIS_2.0.2.tgz, r-oldrel: PELVIS_2.0.0.tgz
Old sources: PELVIS archive

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