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GSEVM v.2: MCMC software to analyze genetically structured environmental variance models
Author(s) -
IbáñezEscriche N.,
Garcia M.,
Sorensen D.
Publication year - 2010
Publication title -
journal of animal breeding and genetics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.689
H-Index - 51
eISSN - 1439-0388
pISSN - 0931-2668
DOI - 10.1111/j.1439-0388.2009.00846.x
Subject(s) - markov chain monte carlo , executable , computer science , unix , software , monte carlo method , variance (accounting) , fortran , bayesian probability , variety (cybernetics) , data mining , programming language , algorithm , statistics , mathematics , artificial intelligence , accounting , business
This note provides a description of software that allows to fit Bayesian genetically structured variance models using Markov chain Monte Carlo (MCMC). The gsevm v.2 program was written in Fortran 90. The DOS and Unix executable programs, the user's guide, and some example files are freely available for research purposes at http://www.bdporc.irta.es/estudis.jsp. The main feature of the program is to compute Monte Carlo estimates of marginal posterior distributions of parameters of interest. The program is quite flexible, allowing the user to fit a variety of linear models at the level of the mean and the logvariance.