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

## Documentation for package ‘graper’ version 1.28.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

coef.graper | Get estimated coefficients from a graper object
getPIPs | Get posterior inclusion probabilities per feature
graper | Fit a regression model with graper
makeExampleData | Simulate example data from the graper model
makeExampleDataWithUnequalGroups | Simulate example data from the graper model with groups of unequal size
plotELBO | Plot evidence lower bound
plotGroupPenalties | Plot group-wise penalties
plotPosterior | Plot posterior distributions
predict.graper | Predict response on new data
print.graper | Print a graper object