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VIGoR  

Variational Bayesian Inference for Genome-Wide Regression
View on CRAN: Click here


Download and install VIGoR package within the R console
Install from CRAN:
install.packages("VIGoR")

Install from Github:
library("remotes")
install_github("cran/VIGoR")

Install by package version:
library("remotes")
install_version("VIGoR", "1.1.5")



Attach the package and use:
library("VIGoR")
Maintained by
Akio Onogi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-18
Latest Update: 2024-09-11
Description:
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).
How to cite:
Akio Onogi (2022). VIGoR: Variational Bayesian Inference for Genome-Wide Regression. R package version 1.1.5, https://cran.r-project.org/web/packages/VIGoR. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.1.1 (2022-10-18 08:22), 1.1.2 (2023-06-05 07:30), 1.1.3 (2024-05-01 06:30), 1.1.4 (2024-05-28 18:20)
Other packages that cited VIGoR R package
View VIGoR citation profile
Other R packages that VIGoR depends, imports, suggests or enhances
Complete documentation for VIGoR
Functions, R codes and Examples using the VIGoR R package
Some associated functions: X . Y . Z . hyperpara . predict_vigor . vigor . 
Some associated R codes: hyperpara.R . predict_vigor.R . vigor.R .  Full VIGoR package functions and examples
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