This package enables regression and classification on high-dimensional data with different relative strengths of penalization for different feature groups, such as different assays or omic types. The optimal relative strengths are chosen adaptively. Optimisation is performed using a variational Bayes approach.
|Author||Britta Velten [aut, cre], Wolfgang Huber [aut]|
|Bioconductor views||Bayesian Classification Regression|
|Maintainer||Britta Velten <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on Bioconductor|
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