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GeometricMorphometricsMix  

Heterogeneous Methods for Shape and Other Multidimensional Data
View on CRAN: Click here


Download and install GeometricMorphometricsMix package within the R console
Install from CRAN:
install.packages("GeometricMorphometricsMix")

Install from Github:
library("remotes")
install_github("cran/GeometricMorphometricsMix")

Install by package version:
library("remotes")
install_version("GeometricMorphometricsMix", "0.6.0.1")



Attach the package and use:
library("GeometricMorphometricsMix")
Maintained by
Carmelo Fruciano
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-27
Latest Update: 2026-01-27
Description:
Tools for geometric morphometric analyses and multidimensional data. Implements methods for morphological disparity analysis using bootstrap and rarefaction, as reviewed in Foote (1997) <doi:10.1146/annurev.ecolsys.28.1.129>. Includes integration and modularity testing, following Fruciano et al. (2013) <doi:10.1371/journal.pone.0069376>, using Escoufier's RV coefficient as test statistic as well as two-block partial least squares - PLS, Rohlf and Corti (2000) <doi:10.1080/106351500750049806>. Also includes vector angle comparisons, orthogonal projection for data correction (Burnaby (1966) <doi:10.2307/2528217>; Fruciano (2016) <doi:10.1007/s00427-016-0537-4>), and parallel analysis for dimensionality reduction (Buja and Eyuboglu (1992) <doi:10.1207/s15327906mbr2704_2>).
How to cite:
Carmelo Fruciano (2026). GeometricMorphometricsMix: Heterogeneous Methods for Shape and Other Multidimensional Data. R package version 0.6.0.1, https://cran.r-project.org/web/packages/GeometricMorphometricsMix. Accessed 11 Sep. 2026.
Previous versions and publish date:
0.6.0.1 (2026-01-27 22:00), (2026-07-09 08:05)
Other packages that cited GeometricMorphometricsMix R package
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Complete documentation for GeometricMorphometricsMix
Functions, R codes and Examples using the GeometricMorphometricsMix R package
Full GeometricMorphometricsMix package functions and examples
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