VIGoR: 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).

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

View on CRAN

Files

src
src/vigorr.h
src/vigorr.c
src/MT.h
NAMESPACE
data
data/sampledata.RData
R
R/vigor.R R/hyperpara.R
MD5
DESCRIPTION
man
man/Covariates.Rd man/hyperpara.Rd man/Geno.Rd man/Pheno.Rd man/vigor.Rd
LICENSE

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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