graper: Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes

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.

Package details

AuthorBritta Velten [aut, cre], Wolfgang Huber [aut]
Bioconductor views Bayesian Classification Regression
MaintainerBritta Velten <>
LicenseGPL (>= 2)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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graper documentation built on Nov. 8, 2020, 5:45 p.m.