Computes a zonohedron from real vector generators.  The package also computes zonogons (2D zonotopes) and zonosegs (1D zonotopes).  An elementary S3 class for matroids is included, which supports matroids with rank 3, 2, and 1.  Optimization methods are taken from Heckbert (1985) <https://www.cs.cmu.edu/~ph/zono.ps.gz>.

An S3 class with methods for totally ordered indexed
             observations. It is particularly aimed at irregular time series
             of numeric vectors/matrices and factors. zoo's key design goals
             are independence of a particular index/date/time class and
             consistency with ts and base R by providing methods to extend
             standard generics.

This tool provides functions to load, segment and classify zooplankton images. 
  The image processing algorithms and the machine learning classifiers in this package are (will be, since these have not been added yet) direct ports of 
  an early 'python' implementation that can be found at <https://github.com/arickGrootveld/ZooID>. The model weights and datasets (also not added yet) 
  that are a part of this package can also be found at Arick Grootveld, Eva R. Kozak, Carmen Franco-Gordo (2023) <doi:10.5281/zenodo.7979996>.

A free (open source) solution for analyzing digital
  images of plankton. In combination with ImageJ, a free image analysis
  system, it processes digital images, measures individuals, trains for
  automatic classification of taxa, and finally, measures plankton samples
  (abundances, total and partial size spectra or biomasses, etc.).

Includes functions and reference data to 
    generate and manipulate log-ratios (also known as log size index (LSI)
    values) from measurements obtained on zooarchaeological material. Log
    ratios are used to compare the relative (rather than the absolute)
    dimensions of animals from archaeological contexts 
    (Meadow 1999, ISBN: 9783896463883).
    zoolog is also able to seamlessly integrate data and references 
    with heterogeneous nomenclature, which is internally managed by a 
    zoolog thesaurus. 
    A preliminary version of the zoolog methods was first used by 
    Trentacoste, Nieto-Espinet, and Valenzuela-Lamas (2018) 
    <doi:10.1371/journal.pone.0208109>.