Variational Bayesian Inference for Genome-Wide Regression

Conducts linear regression using variational Bayesian inference, particularly optimized for genome-wide association mapping and whole-genome 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).


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install.packages("VIGoR")

1.0 by Akio Onogi, 4 years ago


Browse source code at https://github.com/cran/VIGoR


Authors: Akio Onogi and Hiroyoshi Iwata


Documentation:   PDF Manual  


MIT + file LICENSE license



See at CRAN