VIGoR: Variational Bayesian Inference for Genome-Wide Regression

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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).

Author
Akio Onogi and Hiroyoshi Iwata
Date of publication
2015-05-20 15:38:58
Maintainer
Akio Onogi <onogiakio@gmail.com>
License
MIT + file LICENSE
Version
1.0

View on CRAN

Man pages

Covariates
An example of Covariate objects
Geno
An example of marker genotype objects
hyperpara
Calculation of hyperparameter values
Pheno
An example of Pheno objects
vigor
Variational Bayesian inference for genome-wide regression

Files in this package

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