EBIC                    Custom IC functions for stepwise models
datasets                Data sets
effect_plot             Plot relevant effects of a sparseR object
get_penalties           Helper function to help set up penalties
plot.sparseR            Plot relevant properties of sparseR objects
predict.sparseR         Predict coefficients or responses for sparseR
                        object
print.sparseR           Print sparseR object
sparseR                 Fit a ranked-sparsity model with regularized
                        regression
sparseR-package         sparseR: Implement ranked sparsity for
                        selecting interactions and polynomials
sparseRBIC_bootstrap    Bootstrap procedure for stepwise regression
sparseRBIC_sampsplit    Sample split procedure for stepwise regression
sparseRBIC_step         Fit a ranked-sparsity model with forward
                        stepwise RBIC (experimental)
sparseR_prep            Preprocess & create a model matrix with
                        interactions + polynomials
step_center_to          Centering numeric data to a value besides their
                        mean
summary.sparseR         Summary of sparseR model coefficients
