Creates styled tables for data presentation. Export to HTML, LaTeX,
  RTF, 'Word', 'Excel', 'PowerPoint', 'typst', SVG and PNG. Simple, modern 
  interface to manipulate borders, size, position, captions, colours, 
  text styles and number formatting. Table cells can span multiple rows and/or columns.
  Includes  a 'huxreg' function to create regression tables, and 'quick_*' 
  one-liners to print tables to a new document.

Facilitates building topology preserving maps for data analysis.

Fits models for genotypic disequilibria, as described in
  Huttley and Wilson (2000) <doi:10.1093/genetics/156.4.2127>, Weir (1996) and Weir and Wilson (1986).
  Contrast terms are available that account for first order interactions
  between loci.  Also implements, for a single locus in a single
  population, a conditional exact test for Hardy-Weinberg equilibrium.

General (multi-allelic) Hardy-Weinberg equilibrium problem from an objective Bayesian testing standpoint. This aim is achieved through the identification of a class of priors specifically designed for this testing problem. A class of intrinsic priors under the full model is considered. This class is indexed by a tuning quantity, the training sample size, as discussed in Consonni, Moreno and Venturini (2010). These priors are objective, satisfy Savage's continuity condition and have proved to behave extremely well for many statistical testing problems.

Inference concerning equilibrium and random mating in 
    autopolyploids. Methods are available to test for equilibrium 
    and random mating at any even ploidy level (>2) in the presence
    of double reduction at biallelic loci. For autopolyploid populations
    in equilibrium, methods are available to estimate the degree of 
    double reduction. We also provide functions to calculate genotype 
    frequencies at equilibrium, or after one or several rounds of 
    random mating, given rates of double reduction. The main function is
    hwefit(). This material is based upon work supported by the
    National Science Foundation under Grant No. 2132247. The opinions,
    findings, and conclusions or recommendations expressed are those of
    the author and do not necessarily reflect the views of the National
    Science Foundation. For details of these methods, see 
    Gerard (2023a) <doi:10.1111/biom.13722> and
    Gerard (2023b) <doi:10.1111/1755-0998.13856>.