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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "moRphomenses" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'moRphomenses: Geometric Morphometric Tools to Align, Scale, and Compare "Shape"
  of Menstrual Cycle Hormones'
version: 1.0.2
doi: 10.32614/CRAN.package.moRphomenses
abstract: Mitteroecker & Gunz (2009) <https://doi.org/10.1007/s11692-009-9055-x> describe
  how geometric morphometric methods allow researchers to quantify the size and shape
  of physical biological structures. We provide tools to extend geometric morphometric
  principles to the study of non-physical structures, hormone profiles, as outlined
  in Ehrlich et al (2021) <https://doi.org/10.1002/ajpa.24514>. Easily transform daily
  measures into multivariate landmark-based data. Includes custom functions to apply
  multivariate methods for data exploration as well as hypothesis testing. Also includes
  'shiny' web app to streamline data exploration. Developed to study menstrual cycle
  hormones but functions have been generalized and should be applicable to any biomarker
  over any time period.
authors:
- family-names: Ehrlich
  given-names: Daniel
  email: dan.ehrlich.e@gmail.com
repository: https://clancylabuiuc.r-universe.dev
commit: e972d3b531ef40922c04cbf33a8979e2d3523c26
contact:
- family-names: Ehrlich
  given-names: Daniel
  email: dan.ehrlich.e@gmail.com