The goal of Momecs is to ease exploration and hypotheses testing on multivariate datasets, notably for morphometrics data. It includes the most common approaches, namely: PCA (Principal Component analysis), LDA (Linear Discriminant Analysis), and friends. It essentially wraps on existing functions.
To cite Momecs in publications: not yet published.
Not yet published.
Have a look to:
Homepage: (http://momx.github.io/Momecs/)
Report issues and/or ask for features: (https://github.com/MomX/Momecs/issues)
Other MomX packages (https://MomX.github.io/MomX)
Contact: bonhomme.vincent@gmail.com