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

Documentation for package ‘graper’ version 1.4.0

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