mcmcHexRun

<p>MCMC was performed using the wrapper function
  <code>runSegratioMM</code> to
 run JAGS for a Bayesian mixture model on the segregation ratios
 obtained using the simulated data <code>hexmarkers.overdisp</code>. These
 data were simulated as 500 markers for 200 &#8220;auto--hexaploid
 individuals&#8221; exhibiting overdispersion with shape1=25. The underlying
 percentages of single double and triple dose markers are 70%, 20% and
 10%, respectively.</p>

datasets

Fits Bayesian mixture models to estimate marker dosage for dominant markers in autopolyploids using JAGS (1.0 or greater) as outlined in Baker et al "Bayesian estimation of marker dosage in sugarcane and other autopolyploids" (2010, <doi:10.1007/s00122-010-1283-z>). 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

mcmcHexRun function

<p>An object of S3 class <code>runJagsWrapper</code> with various
  components including summaries and diagnostics.</p>

mcmcHexRun: Results of MCMC estimation for simulated overdispersed markers

Description

Usage

Arguments

Format

References