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All functions

EBIC() RBIC() RAIC()
Custom IC functions for stepwise models
cleveland hungarian switzerland va irlcs_radon_syn Z S
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>) coef(<sparseR>)
Predict coefficients or responses for sparseR object
print(<sparseR>)
Print sparseR object
sparseR-package
sparseR: Implement ranked sparsity for selecting interactions and polynomials
sparseR()
Fit a ranked-sparsity model with regularized regression
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() tidy(<step_center_to>)
Centering numeric data to a value besides their mean
summary(<sparseR>)
Summary of sparseR model coefficients