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README.md
In graper: Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes
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.
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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.
Try the graper package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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