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.

Version:	2.59
Depends:	coda, genetics, gtools, kinship2
Imports:	methods, stats
Published:	2026-03-19
DOI:	10.32614/CRAN.package.MasterBayes
Author:	Jarrod Hadfield [aut, cre], Andrew D. Martin [ctb, cph] (Original author of modified C++ Scythe code), Kevin M. Quinn [ctb, cph] (Original author of modified C++ Scythe code), Daniel Pemstein [ctb, cph] (Original author of modified C++ Scythe code)
Maintainer:	Jarrod Hadfield <j.hadfield at ed.ac.uk>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Citation:	MasterBayes citation info
CRAN checks:	MasterBayes results

Documentation:

Reference manual:	MasterBayes.html , MasterBayes.pdf
Vignettes:	MasterBayes Tutorial (source)

Downloads:

Package source:	MasterBayes_2.59.tar.gz
Windows binaries:	r-devel: MasterBayes_2.59.zip, r-release: MasterBayes_2.59.zip, r-oldrel: MasterBayes_2.59.zip
macOS binaries:	r-release (arm64): MasterBayes_2.59.tgz, r-oldrel (arm64): MasterBayes_2.59.tgz, r-release (x86_64): MasterBayes_2.59.tgz, r-oldrel (x86_64): MasterBayes_2.59.tgz
Old sources:	MasterBayes archive

Linking:

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