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: 2.57
Depends: coda, genetics, gtools, kinship2
Imports: methods, stats
Published: 2020-06-24
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield <j.hadfield at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: MasterBayes citation info
CRAN checks: MasterBayes results


Reference manual: MasterBayes.pdf
Vignettes: MasterBayes Tutorial


Package source: MasterBayes_2.57.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MasterBayes_2.57.tgz, r-release (x86_64): MasterBayes_2.57.tgz, r-oldrel: MasterBayes_2.57.tgz
Old sources: MasterBayes archive


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