Function reference • sparseR

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 _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