R package for a variational Bayes approach facilitating adaptive regularization of feature groups as used in 'Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes'. The main function is graper, which fits the variational Bayes model given data X, a response y and a group annotation for each feature in annot.

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