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).
- Version1.1.5
- R versionunknown
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?Yes
- Last release09/11/2024
Team
Akio Onogi
Hiroyoshi Iwata
Show author detailsRolesCopyright holderTakuji Nishimura
Show author detailsRolesContributorMakoto Matsumoto
Show author detailsRolesContributorSTRUCTURE software contributors
Show author detailsRolesContributorAlan Miller
Show author detailsRolesContributorPeter Beerli
Show author detailsRolesContributor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN