Package: moRphomenses
Title: Geometric Morphometric Tools to Align, Scale, and Compare
        "Shape" of Menstrual Cycle Hormones
Version: 1.0.3
Authors@R: person(given = "Daniel", family = "Ehrlich", email = "dan.ehrlich.e@gmail.com", role = c("aut", "cre"))
Description: Mitteroecker & Gunz (2009) <doi: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)
        <doi: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.
License: GPL (>= 3.0)
URL: <https://github.com/ClancyLabUIUC/moRphomenses>
Depends: R (>= 2.10)
Imports: stats, graphics, grDevices, utils
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Suggests: dendextend, geomorph, cluster, shiny
Repository: https://clancylabuiuc.r-universe.dev
Date/Publication: 2025-01-06 18:02:09 UTC
RemoteUrl: https://github.com/clancylabuiuc/morphomenses
RemoteRef: HEAD
RemoteSha: 0809b280ee08bc3e49f597f019940ce82505994f
NeedsCompilation: no
Packaged: 2026-09-26 11:21:13 UTC; root
Author: Daniel Ehrlich [aut, cre]
Maintainer: Daniel Ehrlich <dan.ehrlich.e@gmail.com>