The goal of ‘Momstats’ is to provide statistical methods on top of ‘Momocs2’ tibbles, and chiefly multivariate methods on morphometric data.
This includes mean shapes, principal component analyses along with morphological space reconstruction, multivariate hypothesis testing, linear discriminant analyses with permutations and balancing, hierachical clustering methods, kmeans and kmedoids, etc.
Visualization is at heart with several extensions to ‘ggplot2’ graphics.
A light dispatching strategy makes it comfortable and consistent to use.
You can install the development version of Momstats from GitHub with:
# install.packages("pak") # once on CRAN
pak::pak("MomX/Momstats") # from Github