MasterBayes - Maximum Likelihood and Markov Chain Monte Carlo (MCMC) Methods
for Pedigree Reconstruction and Analysis
The primary aim of 'MasterBayes' is to use Markov chain
Monte Carlo (MCMC) techniques to integrate over uncertainty in
pedigree configurations estimated from molecular markers and
phenotypic data (Hadfield et al. (2006)
<doi:10.1111/j.1365-294X.2006.03050.x>). Emphasis is put on
the marginal distribution of parameters that relate the
phenotypic data to the pedigree. All simulation is done in
compiled 'C++' for efficiency.
