MasterBayes: ML and MCMC Methods for Pedigree Reconstruction and Analysis

The primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. 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.

Version: 2.51
Depends: coda, genetics, gtools, kinship2
Published: 2014-03-20
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield <j.hadfield at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: MasterBayes citation info
In views: Bayesian
CRAN checks: MasterBayes results


Reference manual: MasterBayes.pdf
Vignettes: MasterBayes Tutorial
Package source: MasterBayes_2.51.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: MasterBayes_2.51.tgz, r-oldrel: MasterBayes_2.51.tgz
OS X Mavericks binaries: r-release: MasterBayes_2.51.tgz
Old sources: MasterBayes archive

Reverse dependencies:

Reverse depends: pedantics