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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).

Type Size Name Uploaded Downloads Labels
conda 151.3 kB | win-64/r-vigor-1.0-r36hda5aaf8_0.tar.bz2  5 years and 5 months ago 107 main
conda 143.1 kB | osx-64/r-vigor-1.0-r36h46e59ec_0.tar.bz2  5 years and 5 months ago 29 main
conda 141.2 kB | linux-64/r-vigor-1.0-r36h96ca727_0.tar.bz2  5 years and 5 months ago 147 main

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