MasterBayes (2.55)

1 user

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.

Maintainer: Jarrod Hadfield
Author(s): Jarrod Hadfield

License: GPL (>= 2)

Uses: coda, genetics, gtools, kinship2
Reverse depends: pedantics

Released over 2 years ago.

16 previous versions



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Related packages: coda, lme4, MCMCpack, R2WinBUGS, MCMCglmm, BMS, arm, BACCO, BaM, bayesGARCH, bayesm, bayesmix, BayHaz, BAYSTAR, BayesTree, BayesValidate, bayesSurv, BCE, bcp, BMA(20 best matches, based on common tags.)

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