Automatically segments a 3D array of voxels into mutually exclusive morphological elements. This package extends existing work for segmenting 2D binary raster data. A paper documenting this approach has been accepted for publication in the journal Landscape Ecology. Detailed references will be updated here once those are known.

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.

Mixture of logistic regressions parameters (H)estimation with
    (U)spectral methods. The main methods take d-dimensional inputs and a vector
    of binary outputs, and return parameters according to the GLMs mixture model
    (General Linear Model). For more details see chapter 3 in the PhD thesis of
		Mor-Absa Loum: <https://theses.fr/s156435>, available here
		<https://theses.hal.science/tel-01877796/document>.

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.