ClineFit Fits genotypic data to equilibrium cline models
Download

ClineFit Ranking & Summary

ClineFit Tags

fit fit genotypic data genotypic data fitter cline model genotypic data fitter

ClineFit Description

Fits genotypic data to equilibrium cline models ClineFit 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.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. Here are some key features of "ClineFit": clines with 2, 4, 6 & 8 primary shape parameters, including: · center and width · 4 parameters describing introgression tails on either side of the cline · 2 parameters describing frequencies of asymptotic polymorphisms on each side of the cline, if they are not fixed. · single or multiple markers · disequilibrium estimates, from which dispersal and selection estimates are obtained in 6- & 8-parameter models · models that omit parameters of your choice, such as the introgression tail on one side of the cline · models that omit such parameters for some traits but not others, under your control · models that combine parameters traits in ways that you control. For example, you can estimate a single center for all traits, or a unique center for each trait, or any combination in between.

ClineFit Related Software