hexmarkers.overdisp

These data are simulated as 500 markers for 200 <dquote>auto--hexaploid
    individuals</dquote> exhibiting overdispersion with the parameter shape1 =
  25. The underlying percentages of single double and triple dose
  markers are 70%, 20% and 10%, respectively.

datasets

Fits Bayesian mixture models to estimate marker dosage for
        dominant markers on autopolyploids using JAGS (1.0 or greater)
        as outlined in Baker et al (2010). May be used in conjunction
        with polySegratio for simulation studies and comparison with
        standard methods.

Peter Baker

polySegratioMM

Bayesian mixture models for marker dosage in autopolyploids

hexmarkers.overdisp function

An object of S3 class <code>sim.autoMarkers</code> containing 500
  simulated dominant markers for 200 auto--hexaploid individuals.

hexmarkers.overdisp: Simulated overdispersed autopolyploid dominant markers from 200 hexaploid individuals

Description

Usage

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References