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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.59 |
rolling linux/jammy R-4.5 | MasterBayes_2.59.tar.gz |
1.5 MiB |
2.59 |
rolling linux/noble R-4.5 | MasterBayes_2.59.tar.gz |
1.5 MiB |
2.59 |
rolling source/ R- | MasterBayes_2.59.tar.gz |
2.8 MiB |
2.59 |
latest linux/jammy R-4.5 | MasterBayes_2.59.tar.gz |
1.5 MiB |
2.59 |
latest linux/noble R-4.5 | MasterBayes_2.59.tar.gz |
1.5 MiB |
2.59 |
latest source/ R- | MasterBayes_2.59.tar.gz |
2.8 MiB |
2.59 |
2026-04-26 source/ R- | MasterBayes_2.59.tar.gz |
2.8 MiB |
2.59 |
2026-04-23 source/ R- | MasterBayes_2.59.tar.gz |
2.8 MiB |
2.59 |
2026-04-09 windows/windows R-4.5 | MasterBayes_2.59.zip |
1.5 MiB |