Tokenize text into morphemes. The morphemepiece algorithm uses a 
  lookup table to determine the morpheme breakdown of words, and falls back on a 
  modified wordpiece tokenization algorithm for words not found in the lookup 
  table.

Provides data about morphemes, the smallest units of meaning in a 
    language.

A toolset for Geometric Morphometrics and mesh processing. This
    includes (among other stuff) mesh deformations based on reference points,
    permutation tests, detection of outliers, processing of sliding
    semi-landmarks and semi-automated surface landmark placement.

Extract cross sections from long bone meshes at specified intervals along the diaphysis. Calculate two and three-dimensional morphometric maps, cross-sectional geometric parameters, and semilandmarks on the periosteal and endosteal contours of each cross section.

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.

Computes the optimal number of regions (or subdivisions) and 
    their position in serial structures without a priori assumptions and to visualize 
    the results. After reducing data dimensionality with the built-in function for
    data ordination, regions are fitted as segmented linear regressions
    along the serial structure. Every region boundary
    position and increasing number of regions are iteratively fitted and
    the best model (number of regions and boundary positions) is selected
    with an information criterion. This package expands on the previous
    'regions' package (Jones et al., Science 2018) with improved
    computation and more fitting and plotting options.