The goal of Momocs is to provide a complete, convenient, reproducible and open-source toolkit for 2D morphometrics. It includes most common 2D morphometrics approaches on outlines, open outlines, configurations of landmarks, traditional morphometrics, and facilities for data preparation, manipulation and visualization with a consistent grammar throughout. It allows reproducible, complex morphometric analyses and other morphometrics approaches should be easy to plug in, or develop from, on top of this canvas.
Cheers
We are very grateful to (in alphabetical order): Sean Asselin, Laurent Bouby, Matt Bulbert, Simon Crameri, Julia Cooke, April Dinwiddie, Carl Lipo, Cedric Gaucherel, Catherine Girard, QGouil (GitHub), Christian Steven Hoggard, Sarah Ivorra, Glynis Jones, Nathalie Keller, Ricardo Kriebel, Remi Laffont, Fabien Lafuma, Matthias Mace, Stas Malavin, Neus Martinez, Ben Marwick, Sabrina Renaud, Marcelo Reginato, Evan Saitta, Bill Sellers, David Siddons, Eleanor Stillman, Theodore Stammer, Tom Stubbs, Norbert Telmon, Jean-Frederic Terral, Bill Venables, Daniele Ventura, Michael Wallace, Asher Wishkerman, John Wood for their helpful ideas and bug reports.
References
Bonhomme V, Picq S, Gaucherel C, Claude J. 2014. Momocs: Outline Analysis Using R. Journal of Statistical Software 56. https://www.jstatsoft.org/v56/i13.
Claude J. 2008. Morphometrics with R. Springer-Verlag, New-York.
See also
Homepage: https://github.com/MomX/Momocs
Tutorial:
browseVignettes("Momocs")or http://momx.github.io/Momocs/Email:
bonhomme.vincent@gmail.comto contribute to dev, ask for something, propose collaboration, share your data, etc.