VIGoR: Variational Bayesian Inference for Genome-Wide Regression
Version 1.0

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).

Getting started

Package details

AuthorAkio Onogi and Hiroyoshi Iwata
Date of publication2015-05-20 15:38:58
MaintainerAkio Onogi <onogiakio@gmail.com>
LicenseMIT + file LICENSE
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("VIGoR")

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VIGoR documentation built on May 29, 2017, 3:47 p.m.