Provides functions for plotting probability density functions, distribution functions, survival functions, hazard functions and computing distribution moments. The implementation is inspired by Delignette-Muller and Dutang (2015) <doi:10.18637/jss.v064.i04>.

Genotyping assays for bi-allelic markers (e.g. SNPs) produce
	signal intensities for the two alleles. 'fitPoly' assigns genotypes 
	(allele dosages) to a collection of polyploid samples based on these
	signal intensities. 'fitPoly' replaces the older package 'fitTetra' that was
	limited (a.o.) to only tetraploid populations whereas 'fitPoly' accepts any
	ploidy level. Reference: Voorrips RE, Gort G, Vosman B (2011)
	<doi:10.1186/1471-2105-12-172>. 
	New functions added on conversion of data from SNP array software formats, 
	drawing of XY-scatterplots with or without genotype colors,
    checking against expected F1 segregation patterns,
    comparing results from two different assays (probes) for the same SNP,
    recovery from a saveMarkerModels() crash.

Fits Zeta distributions (discrete power laws) to data that arises
    from forensic surveys of clothing on the presence of glass and paint in
    various populations. The general method is described to some extent in
    Coulson, S.A., Buckleton, J.S., Gummer, A.B., and Triggs, C.M. (2001) 
    <doi:10.1016/S1355-0306(01)71847-3>, although the implementation differs.

Convenient classes to model fitness landscapes and fitness
    seascapes. A low-level package with which most users will not interact but
    upon which other packages modeling fitness landscapes and fitness seascapes
    will depend.

Utilities to read and write files in the FITS (Flexible
  Image Transport System) format, a standard format in astronomy (see
  e.g. <https://en.wikipedia.org/wiki/FITS> for more information).
  Present low-level routines allow: reading, parsing, and modifying
  FITS headers; reading FITS images (multi-dimensional arrays);
  reading FITS binary and ASCII tables; and writing FITS images
  (multi-dimensional arrays).  Higher-level functions allow: reading
  files composed of one or more headers and a single (perhaps
  multidimensional) image or single table; reading tables into
  data frames; generating vectors for image array axes; scaling and
  writing images as 16-bit integers.  Known incompletenesses are
  reading random group extensions, as well as
  complex and array descriptor data types in binary tables.