Fits genotypic data to equilibrium cline models
Version: 0.1ClineFit fits genotypic data to equilibrium cline models developed by Nick Barton. ClineFit uses a numerical maximum likelihood algorithm (an MCMC method aka a Metropolis-Hastings algorithm aka a biased random walk), and returns maximum-likelihood estimates and 2-unit support limits.
Operating System: Mac OS X
ClineFit supports diploid, haplodiploid or sex-linked genotypic data using codominant loci.
ClineFit takes data in my own format (very similar to Swofford's BIOSYS) or Arlequin format. ClineFit requires that the location of each population sample be a number, placed as the last piece of information in the population's name.
ClineFitt also requires that you identify, as part of the name of each locus, the alleles that will be most frequent on the right side of the cline.