Provides a mixture model for clustering individuals (or sampling groups) into stocks based on their genetic profile. Here, sampling groups are individuals that are sure to come from the same stock (e.g. breeding adults or larvae). The mixture (log-)likelihood is maximised using the EM-algorithm after finding good starting values via a K-means clustering of the genetic data. Details can be found in: Foster, S. D.; Feutry, P.; Grewe, P. M.; Berry, O.; Hui, F. K. C. & Davies (2020) <doi:10.1111/1755-0998.12920>.

Stochastic dominance tests help ranking different distributions. The package implements the consistent test for stochastic dominance by Barrett and Donald (2003) <doi:10.1111/1468-0262.00390>. Specifically, it implements Barrett and Donald's Kolmogorov-Smirnov type tests for first- and second-order stochastic dominance based on bootstrapping 2 and 1.

Given a list of substance compositions, a list of substances 
  involved in a process, and a list of constraints in addition to mass 
  conservation of elementary constituents, the package contains functions 
  to build the substance composition matrix, to analyze the uniqueness of 
  process stoichiometry, and to calculate stoichiometric coefficients if 
  process stoichiometry is unique. 
  (See Reichert, P. and Schuwirth, N., A generic framework for deriving 
  process stoichiometry in enviromental models, Environmental Modelling 
  and Software 25, 1241-1251, 2010 for more details.)

User tools for working with The STOICH (Stoichiometric Traits of Organisms 
    in their Chemical Habitats) Project database <https://snr-stoich.unl.edu/>. 
    This package is designed to aid in data discovery, filtering, pairing water 
    samples with organism samples, and merging data tables to assist users in 
    preparing data for analyses. For additional examples see "Additional Examples"
    and the readme file at <https://github.com/STOICH-project/STOICH-utilities>.

Provides functionality for working with tensors, alternating
           forms, wedge products, Stokes's theorem, and related concepts
	   from the exterior calculus.  Uses 'disordR' discipline
	   (Hankin, 2022, <doi:10.48550/arXiv.2210.03856>).  The
	   canonical reference would be M. Spivak
	   (1965, ISBN:0-8053-9021-9) "Calculus on Manifolds".  To cite
	   the package in publications please use Hankin (2022)
           <doi:10.48550/arXiv.2210.17008>.