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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.
| Version: | 1.0.2 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, graphics, grDevices, utils |
| Suggests: | dendextend, geomorph, cluster, shiny |
| Published: | 2024-12-12 |
| DOI: | 10.32614/CRAN.package.moRphomenses |
| Author: | Daniel Ehrlich [aut, cre] |
| Maintainer: | Daniel Ehrlich <dan.ehrlich.e at gmail.com> |
| License: | GPL (≥ 3.0) |
| URL: | <https://github.com/ClancyLabUIUC/moRphomenses> |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | moRphomenses results |
| Reference manual: | moRphomenses.pdf |
| Package source: | moRphomenses_1.0.2.tar.gz |
| Windows binaries: | r-devel: moRphomenses_1.0.2.zip, r-release: not available, r-oldrel: moRphomenses_1.0.2.zip |
| macOS binaries: | r-release (arm64): moRphomenses_1.0.2.tgz, r-oldrel (arm64): moRphomenses_1.0.2.tgz, r-release (x86_64): moRphomenses_1.0.2.tgz, r-oldrel (x86_64): moRphomenses_1.0.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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