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Conducts linear regression using variational Bayesian inference, particularly optimized for genomewide association mapping and wholegenome prediction which use a number of DNA markers as the explanatory variables. Provides seven regression models which select the important variables (i.e., the variables related to response variables) among the given explanatory variables in different ways (i.e., model structures).
Package details 


Author  Akio Onogi and Hiroyoshi Iwata 
Date of publication  20150520 15:38:58 
Maintainer  Akio Onogi <[email protected]> 
License  MIT + file LICENSE 
Version  1.0 
Package repository  View on CRAN 
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